id string | domain string | source_dataset string | source_split string | task string | text string | instruction string | response string | messages list | metadata unknown | unit_hash string | text_token_count int64 | split string | prompt_token_count int64 | response_token_count int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
remote_sensing_train_046055 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | issue associated with purchase of aerial photographs was no longer a | [] | {
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"raw_row_index": 46055,
"split_group": "remote_sensing:ffda210df23b6b520325f55028a7c1b8e6034fa7"
} | ffda210df23b6b520325f55028a7c1b8e6034fa7 | 11 | train | 0 | 0 | ||
climateqa_train_006438 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | soil contribution to all feedbacks may be weaker than currently projected (He et al., 2016). Using natural gradients of soil carbon turnover as a constraint on long-term responses to warming suggests that both CMIP5 and CMIP6 ESMs may systematically underestimate the temperature sensitivity at high latitudes, and may o... | [] | {
"document_id": "document2",
"document_number": 2,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGI FR",
"name": "Full Report. In: Climate Change 2021: The Physical Science Basis. Contribution of the WGI to the AR6 of the IPCC",
"chapter": null,
"page_number": 741,
"section... | 67a3ccb7be374dcaa7f4bccd49a421783108e45c | 85 | train | 0 | 0 | ||
geogpt_train_00006092 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Calculate the heat cost per gigajoule (GJ) for Option I, where the customer already has a class-V boiler and does not require additional grants. Use the provided formula and data from the text to determine the final cost.
Reasoning:
Okay, so I need to calculate the heat cost per gigajoule (GJ) for Option I a... | Calculate the heat cost per gigajoule (GJ) for Option I, where the customer already has a class-V boiler and does not require additional grants. Use the provided formula and data from the text to determine the final cost. | Reasoning:
Okay, so I need to calculate the heat cost per gigajoule (GJ) for Option I as described in the text. Let me try to understand the problem and figure out the steps.
First, from the text, Option I is where the customer already has a class-V boiler and doesn't need grants. The formula provided for the overall ... | [
{
"role": "user",
"content": "Calculate the heat cost per gigajoule (GJ) for Option I, where the customer already has a class-V boiler and does not require additional grants. Use the provided formula and data from the text to determine the final cost."
},
{
"role": "assistant",
"content": "Reaso... | {
"raw_index": 6092,
"title": "Economic and environmental benefits from carbonized biomass use for energy purposes – case study for the community from southern part of Poland",
"authors": "P Drobnik;T Mirowski;A Kopeć",
"doi": "doi.org/10.1088/1755-1315/214/1/012106",
"journal": "IOP Conference Series: Earth ... | 21b55e5ca2a1e885571dc66a4e00ebc49a6b9b9a | 4,310 | train | 48 | 4,260 |
geogpt_test_00000863 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_test | cot_qa | Question:
Given the central air-conditioning cold source system described in the paper, develop a hybrid model using the gray box model and artificial neural network (ANN) model based on the K-means cluster algorithm. Explain how the membership value of 0.4 is used to determine which model (ANN or gray box) should be a... | Given the central air-conditioning cold source system described in the paper, develop a hybrid model using the gray box model and artificial neural network (ANN) model based on the K-means cluster algorithm. Explain how the membership value of 0.4 is used to determine which model (ANN or gray box) should be applied for... | Reasoning:
Okay, so I need to develop a hybrid model using the gray box model and an artificial neural network (ANN) model based on the K-means cluster algorithm for predicting energy consumption in a central air-conditioning cold source system. The paper mentions that the membership value of 0.4 is a threshold to deci... | [
{
"role": "user",
"content": "Given the central air-conditioning cold source system described in the paper, develop a hybrid model using the gray box model and artificial neural network (ANN) model based on the K-means cluster algorithm. Explain how the membership value of 0.4 is used to determine which mod... | {
"raw_index": 863,
"title": "Hybrid Modeling of Central Air-Conditioning Cold Source System Energy Consumption with K-means Cluster Algorithm",
"authors": "Zhihao Zhou",
"doi": "doi.org/10.1088/1755-1315/295/5/052035",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Number 5... | 5731d7bae2cec1e437522bd680c5f89e08599bf7 | 1,181 | train | 95 | 1,084 |
geogpt_train_00013620 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Determine the optimal percentage of kaolin addition to a mortar mixture consisting of 50% cement and 50% cement kiln dust (CKD) to maximize compressive strength after 28 days of curing. Support your answer with experimental data and analysis from the provided study.
Reasoning:
Okay, so I need to figure out t... | Determine the optimal percentage of kaolin addition to a mortar mixture consisting of 50% cement and 50% cement kiln dust (CKD) to maximize compressive strength after 28 days of curing. Support your answer with experimental data and analysis from the provided study. | Reasoning:
Okay, so I need to figure out the optimal percentage of kaolin to add to a mortar mixture that's half cement and half cement kiln dust (CKD) to get the highest compressive strength after 28 days. Let me start by understanding the problem and the data provided.
First, the study looked at different mixtures o... | [
{
"role": "user",
"content": "Determine the optimal percentage of kaolin addition to a mortar mixture consisting of 50% cement and 50% cement kiln dust (CKD) to maximize compressive strength after 28 days of curing. Support your answer with experimental data and analysis from the provided study."
},
{
... | {
"raw_index": 13620,
"title": "Effectiveness of adding kaolin to Cement and Cement kiln Dust Mortar",
"authors": "Rafik K. Abdel Wahab;M. Hassan;Azza I. Anan",
"doi": "doi.org/10.1088/1755-1315/1396/1/012004",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Volume 1396",
"... | 6847520fdc8c8be5231c6736938cb5375e7634fa | 738 | train | 56 | 680 |
climateqa_train_023751 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | catalysing conditions, risk communication strategies, M&E strategies) (see Solecki et al., 2017; Jorgenson et al., 2019). <Section-header> 1.3.2.2 Perceiving Climate Risk and Human Response </Section-header> | [] | {
"document_id": "document6",
"document_number": 6,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGII FR",
"name": "Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 15... | 79c6b6a7c9f420cd3da630ae9f0b028da5c9ac1d | 58 | train | 0 | 0 | ||
geogpt_train_00011009 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
A research paper investigates the performance of perovskite solar cells (PSCs) using a phosphorus-containing hole dopant, tri(pentafluorophenyl)phosphine ((C6F5)3P), doped into the spiro-OMeTAD hole-transporting layer (HTL). The study evaluates the power conversion efficiency (PCE) and stability of PSCs with ... | A research paper investigates the performance of perovskite solar cells (PSCs) using a phosphorus-containing hole dopant, tri(pentafluorophenyl)phosphine ((C6F5)3P), doped into the spiro-OMeTAD hole-transporting layer (HTL). The study evaluates the power conversion efficiency (PCE) and stability of PSCs with varying do... | Reasoning:
Okay, so I need to figure out the optimal doping concentration of (C6F5)3P in the spiro-OMeTAD HTL for perovskite solar cells based on the given text. The question is asking for the concentration that gives the highest PCE and the best stability, along with the corresponding PCE and the percentage retained a... | [
{
"role": "user",
"content": "A research paper investigates the performance of perovskite solar cells (PSCs) using a phosphorus-containing hole dopant, tri(pentafluorophenyl)phosphine ((C6F5)3P), doped into the spiro-OMeTAD hole-transporting layer (HTL). The study evaluates the power conversion efficiency (... | {
"raw_index": 11009,
"title": "Stable and efficient perovskite solar cell using hydrophobic tris(pentafluorophenyl)phosphine as a hole dopant",
"authors": "Fei Han;Lingling Wang",
"doi": "doi.org/10.1088/1755-1315/781/4/042025",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume":... | 8de73e74dc85dbb6194e2b3485f11416adc82267 | 658 | train | 228 | 428 |
remote_sensing_train_026752 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | having multiple people use this method to label the same images. Because it is so fast and accurate, it allows us | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 26752,
"split_group": "remote_sensing:e6c1f319ab3aa5189714450e7ee235c382fd70e5"
} | e6c1f319ab3aa5189714450e7ee235c382fd70e5 | 23 | train | 0 | 0 | ||
remote_sensing_train_007680 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | centers. Then, we calculate the cosine similarity of thesevalues with unconditional pixel counts over the extent of | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 7680,
"split_group": "remote_sensing:538eede804b10f73641faa53911e9a3dfc5d3e14"
} | 538eede804b10f73641faa53911e9a3dfc5d3e14 | 20 | train | 0 | 0 | ||
geogpt_train_00016503 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Given the airborne InSAR geometric model described in the text, derive the geographic location of a target using the provided equations. Specifically, calculate the target location vector \(\\vec{P}\) given the master antenna location vector \(\\vec{A}_1\), range \(r_1\), heading angle \(\\theta_y\), baseline... | Given the airborne InSAR geometric model described in the text, derive the geographic location of a target using the provided equations. Specifically, calculate the target location vector \(\\vec{P}\) given the master antenna location vector \(\\vec{A}_1\), range \(r_1\), heading angle \(\\theta_y\), baseline incline a... | Reasoning:
Okay, so I need to figure out how to calculate the geographic location of a target using the given equations from the text. The question asks me to derive the target location vector P using the master antenna location vector A1, range r1, heading angle θy, baseline incline angle α, roll angle θr, and pitch a... | [
{
"role": "user",
"content": "Given the airborne InSAR geometric model described in the text, derive the geographic location of a target using the provided equations. Specifically, calculate the target location vector \\(\\\\vec{P}\\) given the master antenna location vector \\(\\\\vec{A}_1\\), range \\(r_1... | {
"raw_index": 16503,
"title": "Calibration and Validation of Airborne InSAR Geometric Model",
"authors": "Han Chunming;Guo huadong;Yue Xijuan;Dou Changyong;Song Mingming;Zhang Yanbing",
"doi": "doi.org/10.1088/1755-1315/17/1/012188",
"journal": "IOP Conference Series: Earth and Environmental Science",
"vol... | c20e84aa77704f47e50e8688f42dd4129199247b | 3,033 | train | 133 | 2,898 |
climateqa_train_022339 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | (d) Constraints that make it harder to plan and implement human adaptation Constraints associated with limits to adaptation for regions across all sectors: | [] | {
"document_id": "document5",
"document_number": 5,
"source": "IPCC",
"report_type": "TS",
"short_name": "IPCC AR6 WGII TS",
"name": "Technical Summary. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 43,
... | c198f5769519c82affc2081732dc8812a5ff9679 | 25 | train | 0 | 0 | ||
climateqa_train_056461 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Hanaoka, T. and T. Masui, 2018: Co-benefit Reductions of Short-Lived Climate Pollutants and Air Pollutants by 2050 while Achieving the 2 Degree Target in Asia. J. Sustain. Dev. Energy, Water Environ. Syst., 6(3), 505-520, doi:10.13044/j.sdewes.d6.0218. Hanger-Kopp, S., J. Lieu, and A. Nikas, 2019: Narratives of Low-Car... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 498,
"s... | e48007ac0438e770dedee6d12ce6f2b55df9274d | 142 | train | 0 | 0 | ||
geogpt_train_00022911 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Calculate the Return on Investment (ROI) for a 10kWp on-grid PV system under social, residential, and office tariffs in Indonesia, considering the given parameters. Which building type offers the fastest ROI?
Reasoning:
Okay, so I need to figure out the ROI for a 10kWp on-grid PV system under three different... | Calculate the Return on Investment (ROI) for a 10kWp on-grid PV system under social, residential, and office tariffs in Indonesia, considering the given parameters. Which building type offers the fastest ROI? | Reasoning:
Okay, so I need to figure out the ROI for a 10kWp on-grid PV system under three different tariffs: social, residential, and office in Indonesia. The goal is to determine which building type offers the fastest ROI.
First, I'll start by understanding what ROI means in this context. ROI is the ratio of net pr... | [
{
"role": "user",
"content": "Calculate the Return on Investment (ROI) for a 10kWp on-grid PV system under social, residential, and office tariffs in Indonesia, considering the given parameters. Which building type offers the fastest ROI?"
},
{
"role": "assistant",
"content": "Reasoning:\nOkay, ... | {
"raw_index": 22911,
"title": "Monitoring Results of a 10kwp On-Grid Photovoltaic System in the Context of the Current Regulation for Solar Rooftops in Indonesia",
"authors": "D Pianka;E Setyowati",
"doi": "doi.org/10.1088/1755-1315/448/1/012011",
"journal": "IOP Conference Series: Earth and Environmental Sc... | ef7b40f61b28a35e536b79ede165d3ffcaa5dca5 | 1,215 | train | 43 | 1,170 |
remote_sensing_train_034263 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | fixed-sized bounding boxes from a random scene within a dataset, | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 34263,
"split_group": "remote_sensing:972a379e39371cf821aec501a3dff2a0bac19d02"
} | 972a379e39371cf821aec501a3dff2a0bac19d02 | 12 | train | 0 | 0 | ||
remote_sensing_train_002908 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | pp. 770–787, 2010.[65] G. Jun and J. Ghosh, “An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis,” in | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 2908,
"split_group": "remote_sensing:abef25c8c1cf66a92133a51e918db61b552a407b"
} | abef25c8c1cf66a92133a51e918db61b552a407b | 38 | train | 0 | 0 | ||
geogpt_train_00002028 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the methods described in the text, project the aridity index (AI) for the Gediz Basin under RCP4.5, RCP6.0, and RCP8.5 scenarios for the period 2015-2050. Include the following steps in your analysis:\n1. Describe the statistical downscaling methods used for temperature and precipitation.\n2. Explain th... | Using the methods described in the text, project the aridity index (AI) for the Gediz Basin under RCP4.5, RCP6.0, and RCP8.5 scenarios for the period 2015-2050. Include the following steps in your analysis:\n1. Describe the statistical downscaling methods used for temperature and precipitation.\n2. Explain the multi-mo... | Reasoning:
Okay, so I need to project the aridity index (AI) for the Gediz Basin under three different RCP scenarios: RCP4.5, RCP6.0, and RCP8.5 for the period 2015-2050. The text provided gives a detailed methodology, so I'll follow that step by step.
First, I'll start by understanding the statistical downscaling met... | [
{
"role": "user",
"content": "Using the methods described in the text, project the aridity index (AI) for the Gediz Basin under RCP4.5, RCP6.0, and RCP8.5 scenarios for the period 2015-2050. Include the following steps in your analysis:\\n1. Describe the statistical downscaling methods used for temperature ... | {
"raw_index": 2028,
"title": "Projecting aridity from statistically downscaled and bias-corrected variables for the Gediz Basin, Turkey",
"authors": "Kirdemir, Umut;Okkan, Umut;Fistikoglu, Okan",
"doi": "10.2166/wcc.2022.109",
"journal": "Journal of Water and Climate Change",
"volume": "Volume 13, Number 8... | bccf34087035fa5d0ccb7aab94b820c340dafd82 | 1,226 | train | 143 | 1,081 |
climateqa_train_105689 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Flachsbarth, I., Willaarts, B., Xie, H., Pitois, G., Mueller, N. D., Ringler, C., & Garrido, A. (2015). The role of Latin America's land and water resources for global food security: environmental trade-offs of future food production pathways. PloS one, 10(1), e0116733. Fleeger, J. W., Carman, K. R., & Nisbet, R. M. (2... | [] | {
"document_id": "document29",
"document_number": 29,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR AM FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for the Americas",
"chapter": null,
"page_number": 451,
"section_header": "REF... | 430e77ef1fb4e1495b696889072e5cc48c776025 | 192 | train | 0 | 0 | ||
climateqa_train_104521 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Invasions, 4(1-2), 115-143. https://doi. org/10.1023/A:1020596916153 Nature, 406(6799), 978-981. http://doi. org/10.1038/35023137 <Section-header> Nature, 406(6799), 978-981. http://doi. org/10.1038/35023137 </Section-header> Nature, 406(6799), 978-981. http://doi. org/10.1038/35023137 | [] | {
"document_id": "document29",
"document_number": 29,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR AM FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for the Americas",
"chapter": null,
"page_number": 322,
"section_header": "Lau... | 0ca1f9745bdd91f99dfffdda9f834f221b0b735d | 122 | train | 0 | 0 | ||
geogpt_train_00029337 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the improved neural network algorithm based on particle swarm optimization (PSO-BP), predict the daily average load of a region considering five meteorological factors: highest temperature, lowest temperature, average temperature, relative humidity, and rainfall. The model should incorporate factor anal... | Using the improved neural network algorithm based on particle swarm optimization (PSO-BP), predict the daily average load of a region considering five meteorological factors: highest temperature, lowest temperature, average temperature, relative humidity, and rainfall. The model should incorporate factor analysis to re... | Reasoning:
Okay, so I need to figure out how to predict the daily average load of a region using an improved neural network algorithm based on particle swarm optimization (PSO-BP). The model should consider five meteorological factors: highest temperature, lowest temperature, average temperature, relative humidity, and... | [
{
"role": "user",
"content": "Using the improved neural network algorithm based on particle swarm optimization (PSO-BP), predict the daily average load of a region considering five meteorological factors: highest temperature, lowest temperature, average temperature, relative humidity, and rainfall. The mode... | {
"raw_index": 29337,
"title": "The Application of Improved Neural Network Algorithm Based on Particle Group in Short-term Load Prediction",
"authors": "Yuan Ning;Tianyin Zhang;Teng Zhang",
"doi": "doi.org/10.1088/1755-1315/632/4/042045",
"journal": "IOP Conference Series: Earth and Environmental Science",
... | fe336b75b761cadcaab4c45e926b0e8a1620d233 | 1,178 | train | 97 | 1,079 |
climateqa_train_025551 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Estrada-Villegas, S., J. S. Hall, M. van Breugel and S. A. Schnitzer, 2020: Lianas reduce biomass accumulation in early successional tropical forests. Ecology, 101(5), e02989. | [] | {
"document_id": "document6",
"document_number": 6,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGII FR",
"name": "Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 34... | 798060e3916a9759de527a16e9fce8db0a949626 | 58 | train | 0 | 0 | ||
climateqa_train_109593 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Huang, J., Huang, J., Liu, C., Zhang, J., Lu, X., & Ma, K. (2016). Diversity hotspots and conservation gaps for the Chinese endemic seed flora. Biological Conservation, 198, 104-112. https://doi.org/10.1016/j. biocon.2016.04.007 Huang, L., & Li, J. (2016). Status of Freshwater Fish Biodiversity in the Yangtze River Bas... | [] | {
"document_id": "document31",
"document_number": 31,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR AP FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for Asia and the Pacific",
"chapter": null,
"page_number": 287,
"section_heade... | fd10b68d598c9e9f66086a27bfb7b11abbacd153 | 194 | train | 0 | 0 | ||
geogpt_train_00018167 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the thermodynamic equilibrium calculation model, predict the speciation distribution of mercury in a coal-mercury-sulfur system under an oxidizing atmosphere. Consider the effects of varying sulfur content on the competition between elemental mercury and mercuric sulfate at different temperatures. Provi... | Using the thermodynamic equilibrium calculation model, predict the speciation distribution of mercury in a coal-mercury-sulfur system under an oxidizing atmosphere. Consider the effects of varying sulfur content on the competition between elemental mercury and mercuric sulfate at different temperatures. Provide a detai... | Reasoning:
Okay, so I'm trying to figure out how to predict the speciation distribution of mercury in a coal-mercury-sulfur system under an oxidizing atmosphere using the thermodynamic equilibrium calculation model. The question also asks about the effects of varying sulfur content on the competition between elemental ... | [
{
"role": "user",
"content": "Using the thermodynamic equilibrium calculation model, predict the speciation distribution of mercury in a coal-mercury-sulfur system under an oxidizing atmosphere. Consider the effects of varying sulfur content on the competition between elemental mercury and mercuric sulfate ... | {
"raw_index": 18167,
"title": "Study on speciation distribution and chemical reaction mechanism of sulfur during coal combustion",
"authors": "Na Cao;Cheng Zhang;Hui Zhou",
"doi": "doi.org/10.1088/1755-1315/546/4/042074",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Numbe... | 4fb2fa890d43dc6afe75d12296db3485257c3054 | 1,200 | train | 80 | 1,118 |
climateqa_train_067885 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | 2018), carbon accounting throughout value chains (World Bank 2018b), or transparency and verification mechanisms for green financial instrument investors (Kyriakou et al. 2017; Stockholm Green Digital Finance 2017). Generally, blockchain and digital currency applications are not well covered by governance systems (Taps... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 1619,
"... | 8e2ca82ba95374d326eeaaca349c063843fd21f9 | 130 | train | 0 | 0 | ||
remote_sensing_train_016779 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | Jing Wang1, Tyler A. Hallman2, Laurel M. Hopkins3, John B. Kilbride4, W. Douglas Robinson5, and | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 16779,
"split_group": "remote_sensing:cb224c20e69b30aed8c7e43f668fbd8f7e6b0597"
} | cb224c20e69b30aed8c7e43f668fbd8f7e6b0597 | 33 | train | 0 | 0 | ||
geogpt_train_00036169 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Evaluate the effects of surface-applied biosolids application rates (0, 20, 40, and 60 Mg DM ha⁻¹ yr⁻¹) on soil organic carbon (SOC) and total nitrogen (N) stocks over 8 and 20 years in a no-till perennial forage production system. Using the data provided in the study, determine the relationship between appli... | Evaluate the effects of surface-applied biosolids application rates (0, 20, 40, and 60 Mg DM ha⁻¹ yr⁻¹) on soil organic carbon (SOC) and total nitrogen (N) stocks over 8 and 20 years in a no-till perennial forage production system. Using the data provided in the study, determine the relationship between application rat... | Reasoning:
Okay, so I need to evaluate the effects of surface-applied biosolids on soil organic carbon (SOC) and total nitrogen (N) stocks over 8 and 20 years in a no-till perennial forage system. The application rates are 0, 20, 40, and 60 Mg DM ha⁻¹ yr⁻¹. I have to figure out how these rates affect SOC and N stocks a... | [
{
"role": "user",
"content": "Evaluate the effects of surface-applied biosolids application rates (0, 20, 40, and 60 Mg DM ha⁻¹ yr⁻¹) on soil organic carbon (SOC) and total nitrogen (N) stocks over 8 and 20 years in a no-till perennial forage production system. Using the data provided in the study, determin... | {
"raw_index": 36169,
"title": "Surface-Applied Biosolids Enhance Soil Organic Carbon and Nitrogen Stocks but Have Contrasting Effects on Soil Physical Quality",
"authors": "Virginia L. Jin;Kenneth N. Potter;Mari-Vaughn V. Johnson;R. Daren Harmel;Jeffrey G. Arnold",
"doi": "10.1155/2015/715916",
"journal": "A... | 422be54f634d0a2d976670058a79ded91dbe999e | 953 | train | 98 | 853 |
geogpt_train_00006646 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Based on the study, which agricultural residue showed the highest radial growth rate of Agaricus bisporus after 6 days of inoculation?
Reasoning:
Okay, so I need to figure out which agricultural residue showed the highest radial growth rate of Agaricus bisporus after 6 days of inoculation based on the study ... | Based on the study, which agricultural residue showed the highest radial growth rate of Agaricus bisporus after 6 days of inoculation? | Reasoning:
Okay, so I need to figure out which agricultural residue showed the highest radial growth rate of Agaricus bisporus after 6 days of inoculation based on the study provided. Let me start by understanding the question and then go through the text to find the relevant information.
First, the question is asking... | [
{
"role": "user",
"content": "Based on the study, which agricultural residue showed the highest radial growth rate of Agaricus bisporus after 6 days of inoculation?"
},
{
"role": "assistant",
"content": "Reasoning:\nOkay, so I need to figure out which agricultural residue showed the highest radi... | {
"raw_index": 6646,
"title": "Effect of MushroomAgaricus bisporuson the Biodegradation of Agricultural Residues and the Quality of the Resulting Compost",
"authors": "Ahmad M. Hussein;Nihad H. Mutlag;Karrar A. H. Arab;Kawther R. Dalool",
"doi": "doi.org/10.1088/1755-1315/1262/3/032006",
"journal": "IOP Confe... | 475c0255c22a798b521fdffdfb5978b1a5460fd6 | 606 | train | 29 | 575 |
climateqa_test_124902 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_test | document_chunk | following a management fi re has therefore been recommended and now generally adopted, at least for the fi rst post-fi re season. Combined with these studies were the fi rst measurements of upland water yield. Maximum yields among a wide range of cover types, including bare soil, came from the tall tussock grassland: 6... | [] | {
"document_id": "document35",
"document_number": 35,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES AR LDR FR",
"name": "Full Report. Assessment Report on Land Degradation and Restoration",
"chapter": null,
"page_number": 667,
"section_header": "Offi cial responses to rangeland... | 7e963ce6b5432ab46d1888c6d34e709b6f77670f | 206 | train | 0 | 0 | ||
climateqa_train_058049 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Wind capacity factors have increased over the last decade (Figure 6.11). The capacity factor for onshore wind farms increased from 27% in 2010 to 36% in 2020 (IRENA 2021a). The global average offshore capacity factor has decreased from a peak of 45% in 2017. This has been driven by the increased share of offshore devel... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 647,
"s... | c8e48b88df27c6f3babfb84cd08588675def743b | 101 | train | 0 | 0 | ||
climateqa_train_057529 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Dividend" in Sustainable Consumption? J. Ind. Ecol., 9(1-2), 19-36, doi:10.1162/1088198054084734. | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 602,
"s... | 3e998622103b15480561ba8e1d119fb5c6fa9907 | 40 | train | 0 | 0 | ||
geogpt_train_00036817 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Design a multi-objective stability coordination control strategy for a microgrid system integrating gas turbine generators, energy storage systems, and central air conditioning systems as demand response resources. Derive the necessary system models, including the gas turbine generator set model, air conditio... | Design a multi-objective stability coordination control strategy for a microgrid system integrating gas turbine generators, energy storage systems, and central air conditioning systems as demand response resources. Derive the necessary system models, including the gas turbine generator set model, air conditioner model,... | Reasoning:
Okay, so I need to design a multi-objective stability coordination control strategy for a microgrid system that includes gas turbine generators, energy storage systems, and central air conditioning systems as demand response resources. Hmm, that sounds pretty complex, but let's break it down step by step.
F... | [
{
"role": "user",
"content": "Design a multi-objective stability coordination control strategy for a microgrid system integrating gas turbine generators, energy storage systems, and central air conditioning systems as demand response resources. Derive the necessary system models, including the gas turbine g... | {
"raw_index": 36817,
"title": "Stability coordination control of multi-resource integrated microgrid considering demand response",
"authors": "Leping Sun;Shuai Han;Wanlu Wu;Xiaoxuan Guo",
"doi": "doi.org/10.1088/1755-1315/446/4/042005",
"journal": "IOP Conference Series: Earth and Environmental Science",
"... | dc0bedfe9c5cb771cfc1ffd56fd42a99b25e16eb | 2,974 | train | 102 | 2,870 |
climateqa_train_016795 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | with particularly high retreats in NWN (160 m) and CNA (330 m). The total length of sandy coasts in North America that are projected to retreat by more than a median of 100 m by 2100 under RCP4.5 and RCP8.5 is about 15,000 km and 25,000 km respectively, an increase of approximately 70%. Marine heatwave: There is high c... | [] | {
"document_id": "document2",
"document_number": 2,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGI FR",
"name": "Full Report. In: Climate Change 2021: The Physical Science Basis. Contribution of the WGI to the AR6 of the IPCC",
"chapter": null,
"page_number": 1852,
"sectio... | e76a7de816b7c798de891f8b98f1e8916f54db16 | 213 | train | 0 | 0 | ||
climateqa_train_063339 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | GHG emissions attributable to the industrial sector (see Chapter 2) in 2019 originate from industrial fuel combustion (7.1 GtCO2-eq directly and about 5.9 Gt indirectly from electricity and heat generation16); industrial processes (4.5 GtCO2-eq) and products use (0.2 Gt), as well as from waste (2.3 Gt) (Figure 11.4a,b)... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 1184,
"... | 436f4de6f853ce14d0c5565df49013422863b56e | 210 | train | 0 | 0 | ||
remote_sensing_train_033735 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | provide robustness to variation in object size and orientation. | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 33735,
"split_group": "remote_sensing:c64f6799609c5df8668dcaa597ea8779513f9016"
} | c64f6799609c5df8668dcaa597ea8779513f9016 | 11 | train | 0 | 0 | ||
remote_sensing_test_004909 | remote_sensing | gremlin97/RemoteSensingCorpus | test | document_chunk | code snippet: https://code.earthengine.google.com/710e2ae9d03cd994c6e8dc9213257cbc. | [] | {
"raw_file": "test-00000-of-00001.parquet",
"raw_row_index": 4909,
"split_group": "remote_sensing:163863a356bdbd31bcd34024e89719bc5266c5f1"
} | 163863a356bdbd31bcd34024e89719bc5266c5f1 | 31 | train | 0 | 0 | ||
geogpt_train_00017997 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Based on the experimental data provided, determine the safety and quality of butter containing a complex of natural antioxidants (birch bark extract and Aloe Vera) in amounts (0.3:0.8)*10^-3 per 1g of the fat component of cream. Use the results from the preclinical studies on laboratory mice to support your a... | Based on the experimental data provided, determine the safety and quality of butter containing a complex of natural antioxidants (birch bark extract and Aloe Vera) in amounts (0.3:0.8)*10^-3 per 1g of the fat component of cream. Use the results from the preclinical studies on laboratory mice to support your answer. | Reasoning:
Okay, so I need to figure out the safety and quality of butter that has a natural antioxidant complex made from birch bark extract and Aloe Vera. The question is based on an experiment with mice, so I should look through the text for details about that study.
First, I'll start by understanding the purpose o... | [
{
"role": "user",
"content": "Based on the experimental data provided, determine the safety and quality of butter containing a complex of natural antioxidants (birch bark extract and Aloe Vera) in amounts (0.3:0.8)*10^-3 per 1g of the fat component of cream. Use the results from the preclinical studies on l... | {
"raw_index": 17997,
"title": "Evaluation of the quality and safety of butter with an antioxidant complex of natural origin (birch bark extract and Aloe Vera)",
"authors": "A P Simonenkova;A V Mamaev;V N Masalov;O N Luneva;E N Demina;E Yu Sergeeva",
"doi": "doi.org/10.1088/1755-1315/640/3/032004",
"journal":... | 767abdcd4cc912ce5107079ee9b5b6dbb912a700 | 844 | train | 71 | 771 |
remote_sensing_train_045815 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | sample units are moved or replaced, these modifications of the original | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 45815,
"split_group": "remote_sensing:fd680795bddfb86608574c53e257d270b75d1ac5"
} | fd680795bddfb86608574c53e257d270b75d1ac5 | 12 | train | 0 | 0 | ||
remote_sensing_test_005435 | remote_sensing | gremlin97/RemoteSensingCorpus | test | document_chunk | pooling across the space of orientation aiming as pushing forward | [] | {
"raw_file": "test-00000-of-00001.parquet",
"raw_row_index": 5435,
"split_group": "remote_sensing:71c108d828904b19b1ce903d767ca6be4892c7a2"
} | 71c108d828904b19b1ce903d767ca6be4892c7a2 | 11 | train | 0 | 0 | ||
climateqa_train_036900 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | African Journal of Marine Science, 40(2), 101-120, doi:10.2989/181423 2X.2018.1466728. Peirson, A. E. and G. Ziervogel, 2021: Sanitation Upgrading as Climate Action: Lessons for Local Government from a Community Informal Settlement Project in Cape Town. Sustainability, 13(15), doi:10.3390/su13158598. Penney, R., G. Wil... | [] | {
"document_id": "document6",
"document_number": 6,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGII FR",
"name": "Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 14... | 373784104d2623c51d90edb05920e06bfc686f3c | 207 | train | 0 | 0 | ||
geogpt_train_00029458 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
An amperometric total residual oxidant (TRO) sensor is being evaluated for its performance in an electrochlorination-based Ballast Water Management System (BWMS). During land-based testing, the sensor's measurements were compared to those of a DPD sensor. The average TRO measurement deviation between the two ... | An amperometric total residual oxidant (TRO) sensor is being evaluated for its performance in an electrochlorination-based Ballast Water Management System (BWMS). During land-based testing, the sensor's measurements were compared to those of a DPD sensor. The average TRO measurement deviation between the two sensors wa... | Reasoning:
Okay, so I need to figure out the percentage reduction in the standard deviation (SD) of the amperometric TRO sensor's readings after the control logic update. Let me start by understanding the data provided.
From the O&M-2 test cycle, the actual TRO reading from the amperometric sensor was 7.89 mg/L with a... | [
{
"role": "user",
"content": "An amperometric total residual oxidant (TRO) sensor is being evaluated for its performance in an electrochlorination-based Ballast Water Management System (BWMS). During land-based testing, the sensor's measurements were compared to those of a DPD sensor. The average TRO measur... | {
"raw_index": 29458,
"title": "Performance evaluation of the amperometric total residual oxidant sensor with the electrochlorination-based Ballast Water Management System",
"authors": "Li, Xunzhou;Song, Jinjin;Xu, Fengqi;Li, Ying;Wang, Tingyong;Wang, Zhilei;Liu, Wei;Li, Chao",
"doi": "10.2166/wst.2025.006",
... | 29903addb9a4e0cc3b6f0a0bf9248d57540f88fe | 808 | train | 242 | 564 |
remote_sensing_train_043019 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | m-eurosat m-so2satFigure 7: Effect of Multispectral with ViT-S . | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 43019,
"split_group": "remote_sensing:d63e335b140bbf196e5948841d83de5c51a07434"
} | d63e335b140bbf196e5948841d83de5c51a07434 | 22 | train | 0 | 0 | ||
geogpt_train_00013888 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Evaluate the effect of adding fermented juice of epiphytic lactic acid bacteria (FJLB) prepared with different sources and levels of water-soluble carbohydrates (WSC) on the chemical composition, fermentation characteristics, and quality of wheat straw silages. Specifically, determine how the addition of FJLB... | Evaluate the effect of adding fermented juice of epiphytic lactic acid bacteria (FJLB) prepared with different sources and levels of water-soluble carbohydrates (WSC) on the chemical composition, fermentation characteristics, and quality of wheat straw silages. Specifically, determine how the addition of FJLB influence... | Reasoning:
Okay, so I need to evaluate the effect of adding FJLB with different WSC sources and levels on wheat straw silages. The question specifically asks about DM loss, pH, LA concentration, and AS. Let me go through the text step by step.
First, I'll look at the abstract and introduction to understand the study's... | [
{
"role": "user",
"content": "Evaluate the effect of adding fermented juice of epiphytic lactic acid bacteria (FJLB) prepared with different sources and levels of water-soluble carbohydrates (WSC) on the chemical composition, fermentation characteristics, and quality of wheat straw silages. Specifically, de... | {
"raw_index": 13888,
"title": "Effect of Adding Fermented Juice of Epiphytic Lactic Acid Bacteria Prepared with Different Sources and Levels of Soluble Carbohydrates on Chemical Composition, Fermentation and Quality Characteristics of Wheat Straw Silages",
"authors": "Haithem M. Hussian;Ali A. Saeed",
"doi": "... | 0d4775e389885afd4f683c23fe5ba6cc3bfffcfb | 1,465 | train | 100 | 1,363 |
climateqa_train_105435 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | have so far been poorly understood and/or poorly translated into economic costs in future years. | [] | {
"document_id": "document29",
"document_number": 29,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR AM FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for the Americas",
"chapter": null,
"page_number": 428,
"section_header": "B T... | 83daa065bcefb9b42da284ae0f27e622f96f3e03 | 17 | train | 0 | 0 | ||
climateqa_train_063289 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | The geographical distribution of renewable resources has implications for industry (medium confidence). The potential for zero emission electricity and low-cost hydrogen from electrolysis powered by solar and wind, or hydrogen from other very low emission sources, may reshape where currently energy and emissions intens... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 1176,
"... | 44d23e44ada013db78f3cb860b591e1626116eb0 | 148 | train | 0 | 0 | ||
geogpt_train_00003174 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the Generalized Improved Fuzzy Kohonen Clustering Network (GIFKCN) method, analyze the provided Landsat TM images of Ishinomaki City before and after the 2011 Tohoku Tsunami. Calculate the mean values of the spectral indices (NDVI, NDWI, SAVI, MNDWI, NDBI) for each image. Classify the images into four l... | Using the Generalized Improved Fuzzy Kohonen Clustering Network (GIFKCN) method, analyze the provided Landsat TM images of Ishinomaki City before and after the 2011 Tohoku Tsunami. Calculate the mean values of the spectral indices (NDVI, NDWI, SAVI, MNDWI, NDBI) for each image. Classify the images into four land cover ... | Reasoning:
Okay, so I need to analyze the provided Landsat TM images of Ishinomaki City using the GIFKCN method to identify the tsunami inundated areas after the 2011 Tohoku Tsunami. Let me break down the steps I should take based on the text provided.
First, I remember that the GIFKCN method involves calculating seve... | [
{
"role": "user",
"content": "Using the Generalized Improved Fuzzy Kohonen Clustering Network (GIFKCN) method, analyze the provided Landsat TM images of Ishinomaki City before and after the 2011 Tohoku Tsunami. Calculate the mean values of the spectral indices (NDVI, NDWI, SAVI, MNDWI, NDBI) for each image.... | {
"raw_index": 3174,
"title": "Detection of 2011 Tohoku Tsunami Inundated Areas in Ishinomaki City Using Generalized Improved Fuzzy Kohonen Clustering Network",
"authors": "Krishna Kant Singh;Madhav Jee Nigam;Kirat Pal",
"doi": "10.5721/EuJRS20144726",
"journal": "European Journal of Remote Sensing",
"volum... | 8dffd9f336aed3ce900252081e47b7d41904394b | 914 | train | 124 | 788 |
geogpt_train_00030534 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Design and describe an integrated monitoring and control system for a laying hen farm using Internet of Things (IoT) technology. Include details on the sensors used, data transmission methods, and control mechanisms. Explain how the system ensures optimal environmental conditions for the laying hens.
Reasoni... | Design and describe an integrated monitoring and control system for a laying hen farm using Internet of Things (IoT) technology. Include details on the sensors used, data transmission methods, and control mechanisms. Explain how the system ensures optimal environmental conditions for the laying hens. | Reasoning:
Okay, so I need to design and describe an integrated monitoring and control system for a laying hen farm using IoT technology. The question asks for details on the sensors used, data transmission methods, and control mechanisms, and how the system ensures optimal environmental conditions.
First, I'll start ... | [
{
"role": "user",
"content": "Design and describe an integrated monitoring and control system for a laying hen farm using Internet of Things (IoT) technology. Include details on the sensors used, data transmission methods, and control mechanisms. Explain how the system ensures optimal environmental conditio... | {
"raw_index": 30534,
"title": "A laying hen breeding environment monitoring system based on internet of things",
"authors": "Zhifen Zhai;Jianhua Zhang;Xin Chai;Fantao Kong;Jianzhai Wu;Jing Zhang;Shuqing Han",
"doi": "doi.org/10.1088/1755-1315/371/3/032039",
"journal": "IOP Conference Series: Earth and Enviro... | 42a21c98d4bcec3acfcaa662ee3e95781d8f35b3 | 1,097 | train | 53 | 1,042 |
geogpt_train_00016824 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Calculate the Energy Efficiency Ratio (EER) and Coefficient of Performance (COP) for a ground source heat pump system using active chilled beams based on the provided test data. Show all steps and calculations.
Reasoning:
Okay, so I need to calculate the Energy Efficiency Ratio (EER) and Coefficient of Perfo... | Calculate the Energy Efficiency Ratio (EER) and Coefficient of Performance (COP) for a ground source heat pump system using active chilled beams based on the provided test data. Show all steps and calculations. | Reasoning:
Okay, so I need to calculate the Energy Efficiency Ratio (EER) and Coefficient of Performance (COP) for a ground source heat pump system using active chilled beams based on the provided test data. Let me start by understanding what EER and COP mean.
From the text, I remember that EER is used in cooling cond... | [
{
"role": "user",
"content": "Calculate the Energy Efficiency Ratio (EER) and Coefficient of Performance (COP) for a ground source heat pump system using active chilled beams based on the provided test data. Show all steps and calculations."
},
{
"role": "assistant",
"content": "Reasoning:\nOkay... | {
"raw_index": 16824,
"title": "Study on Performance of Ground Source Heat Pump System Based on Active Chilled Beam",
"authors": "Wenhong Yu;Hui Li;Xiaojie Niu",
"doi": "doi.org/10.1088/1755-1315/371/3/032064",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Number 3, Decembe... | b35791dee18f250a44794bfcffab03a94bfa352e | 2,742 | train | 42 | 2,698 |
geogpt_test_00000314 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_test | cot_qa | Question:
Evaluate the intensification of marine heatwaves in the Mediterranean when concurrent with atmospheric heatwaves. Using the provided data, determine the impact of this concurrency on marine heatwave intensity and discuss the implications for marine ecosystems.
Reasoning:
Okay, so I need to evaluate how marin... | Evaluate the intensification of marine heatwaves in the Mediterranean when concurrent with atmospheric heatwaves. Using the provided data, determine the impact of this concurrency on marine heatwave intensity and discuss the implications for marine ecosystems. | Reasoning:
Okay, so I need to evaluate how marine heatwaves (MHWs) in the Mediterranean intensify when they happen at the same time as atmospheric heatwaves (AHWs). The question also asks about the impact on marine ecosystems. Let me start by understanding the key points from the provided text.
First, the text mention... | [
{
"role": "user",
"content": "Evaluate the intensification of marine heatwaves in the Mediterranean when concurrent with atmospheric heatwaves. Using the provided data, determine the impact of this concurrency on marine heatwave intensity and discuss the implications for marine ecosystems."
},
{
"ro... | {
"raw_index": 314,
"title": "Mediterranean marine heatwaves intensify in the presence of concurrent atmospheric heatwaves",
"authors": "Pastor, Francisco;Paredes-Fortuny, Laura;Khodayar, Samira",
"doi": "10.1038/s43247-024-01982-8",
"journal": "Communications Earth & Environment",
"volume": "2024",
"page... | 9bb047b53f64c864c1774e014fc51548d1f21ec6 | 976 | train | 42 | 932 |
climateqa_train_050213 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | CCB FEASIB.3.2.9 Water use efficiency and water resource management There is high technological feasibility (robust evidence, high agreement) of improving water use efficiency as well as of managing water resources at basin and field scales. These approaches include rainwater harvesting, drip irrigation, laser land lev... | [] | {
"document_id": "document6",
"document_number": 6,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGII FR",
"name": "Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 27... | 98c648744aa9d257c97b380a51e6738344036227 | 233 | train | 0 | 0 | ||
climateqa_test_121928 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_test | document_chunk | Weather fluctuations cause large differences in inter-annual fire frequency. Between 2001 and 2007, the average area of fires in Canada was 5,930 ha and 1,312 ha in Russia (de Groot et al., 2013), but Russia has the most extensive overall forest loss (Hansen et al., 2013b). In Western Russia alone, 1.5% of forest cover... | [] | {
"document_id": "document35",
"document_number": 35,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES AR LDR FR",
"name": "Full Report. Assessment Report on Land Degradation and Restoration",
"chapter": null,
"page_number": 324,
"section_header": "4.2.6.3 Fire and associated degr... | 5deae2e600a9df2ef503a75230e4604d254919b6 | 182 | train | 0 | 0 | ||
climateqa_train_058361 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | substitutes such as flexible demand (Brown et al. 2018; Merrick et al. 2018), transmission (Schlachtberger et al. 2017; Brown et al. 2018; Merrick et al. 2018; Bistline and Young 2019), trade (Bistline et al. 2020b), dispatchable generators (Hittinger and Lueken 2015; Gils et al. 2017; Arbabzadeh et al. 2019), direct a... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 686,
"s... | 9887bd041afca3612a840754d13316abbbd8f1de | 146 | train | 0 | 0 | ||
remote_sensing_train_024744 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | dataset. This way, we can understand if our pre-training meth- | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 24744,
"split_group": "remote_sensing:f724650c079239e0de301dd701568a4bc9957d53"
} | f724650c079239e0de301dd701568a4bc9957d53 | 14 | train | 0 | 0 | ||
geogpt_train_00020082 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
An experimental study investigates the hydraulic characteristics of countercurrent jets (CCJs) on adverse-sloped beds. The study examines the effects of bed slope (i) and jet Froude number (F₀) on various hydraulic properties. Using the data provided in the study, determine the relationship between the upstre... | An experimental study investigates the hydraulic characteristics of countercurrent jets (CCJs) on adverse-sloped beds. The study examines the effects of bed slope (i) and jet Froude number (F₀) on various hydraulic properties. Using the data provided in the study, determine the relationship between the upstream depth r... | Reasoning:
Okay, so I need to figure out the relationship between the upstream depth ratio (h_u/e) and the parameters F₀ (jet Froude number) and i (bed slope) based on the provided study. The goal is to derive an empirical formula for h_u/e as a function of F₀ and i and then validate it against the experimental results... | [
{
"role": "user",
"content": "An experimental study investigates the hydraulic characteristics of countercurrent jets (CCJs) on adverse-sloped beds. The study examines the effects of bed slope (i) and jet Froude number (F₀) on various hydraulic properties. Using the data provided in the study, determine the... | {
"raw_index": 20082,
"title": "Hydraulic characteristics of countercurrent jets on adverse-sloped beds",
"authors": "Wang, Lei;Li, Zhen;Diao, Ming-jun",
"doi": "10.2166/ws.2021.308",
"journal": "Water Supply",
"volume": "Volume 22, Number 2",
"pages": "1876-1888",
"license": "CC-BY",
"split_group": "... | 6ef811b2c96f938c3dd0ba5763183a0beb920f23 | 1,274 | train | 108 | 1,164 |
climateqa_train_041421 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Transboundary risks, interactions between commodity and financial markets, market imperfections, non-linear socioeconomic responses and loss of ecosystem services may amplify losses for European economies. Available models may underestimate the full costs of climate change as they generally neglect systemic risks, tipp... | [] | {
"document_id": "document6",
"document_number": 6,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGII FR",
"name": "Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 18... | da500a3b62df025ee871dd1948f8d131e8dc8a6b | 201 | train | 0 | 0 | ||
geogpt_train_00029668 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Consider the mathematical model for phenol and p-cresol mixture degradation in a continuously stirred bioreactor described by the following system of nonlinear ordinary differential equations:\n\n\[
\\frac{d X(t)}{d t} = \\big(\\mu\\big(S_{p h}, S_{c r}\\big) - D\\big) X(t)
\\]\n\[
\\frac{d S_{p h}(t)}{d t} =... | Consider the mathematical model for phenol and p-cresol mixture degradation in a continuously stirred bioreactor described by the following system of nonlinear ordinary differential equations:\n\n\[
\\frac{d X(t)}{d t} = \\big(\\mu\\big(S_{p h}, S_{c r}\\big) - D\\big) X(t)
\\]\n\[
\\frac{d S_{p h}(t)}{d t} = -k_{p h} ... | Reasoning:
Okay, so I need to figure out the equilibrium points and their stability for this model of phenol and p-cresol degradation. Let me start by understanding the model equations and the parameters involved.
The model consists of three differential equations:
1. dX/dt = (μ(S_ph, S_cr) - D) * X
2. dS_ph/dt = -k_... | [
{
"role": "user",
"content": "Consider the mathematical model for phenol and p-cresol mixture degradation in a continuously stirred bioreactor described by the following system of nonlinear ordinary differential equations:\\n\\n\\[\n\\\\frac{d X(t)}{d t} = \\\\big(\\\\mu\\\\big(S_{p h}, S_{c r}\\\\big) - D\... | {
"raw_index": 29668,
"title": "Stability Analysis of a Model for Phenol and Cresol Mixture Degradation",
"authors": "N Dimitrova;P Zlateva",
"doi": "doi.org/10.1088/1755-1315/356/1/012009",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Volume 356",
"pages": null,
"lice... | f790cb50bfd080c616c880aa4f3cb9c2211aa086 | 2,555 | train | 427 | 2,126 |
remote_sensing_test_005956 | remote_sensing | gremlin97/RemoteSensingCorpus | test | document_chunk | University of Zurich, Zürich, Switzerland. e-mail: nila@di.ku.dk; jandirk.wegner@uzh.ch | [] | {
"raw_file": "test-00000-of-00001.parquet",
"raw_row_index": 5956,
"split_group": "remote_sensing:301caa14765c537eda8668392fe070909172c736"
} | 301caa14765c537eda8668392fe070909172c736 | 31 | train | 0 | 0 | ||
geogpt_train_00034831 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
An experiment was conducted to evaluate the capability of Trichoderma asperellum in suppressing vascular streak dieback (VSD) disease on five different cocoa clones: S1, MCC 02, AP, THR, and RB. The treatment involved applying Trichoderma asperellum combined with composted plant residues. The disease incidenc... | An experiment was conducted to evaluate the capability of Trichoderma asperellum in suppressing vascular streak dieback (VSD) disease on five different cocoa clones: S1, MCC 02, AP, THR, and RB. The treatment involved applying Trichoderma asperellum combined with composted plant residues. The disease incidence was obse... | Reasoning:
Okay, so I need to figure out the factors that influenced the efficacy of Trichoderma asperellum in suppressing VSD disease on different cocoa clones. Let me start by reading the study carefully.
First, the study tested five cocoa clones: S1, MCC 02, AP, THR, and RB. They applied Trichoderma asperellum comb... | [
{
"role": "user",
"content": "An experiment was conducted to evaluate the capability of Trichoderma asperellum in suppressing vascular streak dieback (VSD) disease on five different cocoa clones: S1, MCC 02, AP, THR, and RB. The treatment involved applying Trichoderma asperellum combined with composted plan... | {
"raw_index": 34831,
"title": "The capability ofTrichoderma asperellumin suppressing vascular streak diseases on five different cocoa clones",
"authors": "N Nurlaila;A Rosmana;V S Dewi",
"doi": "doi.org/10.1088/1755-1315/486/1/012158",
"journal": "IOP Conference Series: Earth and Environmental Science",
"v... | 41f5992a084170acfd889bab438b179f2b84bd25 | 1,030 | train | 136 | 892 |
remote_sensing_train_027437 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | evidenced by a comparatively low median of mean Dice score of 0.43 compared to 0.76 for the NOAA aerial | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 27437,
"split_group": "remote_sensing:9f6d9f248cba6f54128c7d0581f5e5bb62e3d3e8"
} | 9f6d9f248cba6f54128c7d0581f5e5bb62e3d3e8 | 27 | train | 0 | 0 | ||
climateqa_train_110424 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Connell, J., Page, S. J., & Bentley, T. (2009). Towards sustainable tourism planning in New Zealand: Monitoring local government planning under the Resource Management Act. Tourism Management, 30(6), 867-877. https://doi.org/10.1016/j. tourman.2008.12.001 Cook, B. I., Palmer, J. G., Cook, E. R., Turney, C. S. M., Allen... | [] | {
"document_id": "document31",
"document_number": 31,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR AP FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for Asia and the Pacific",
"chapter": null,
"page_number": 384,
"section_heade... | 17426ec2c725008e5e457df120b41d33ac7be4e2 | 198 | train | 0 | 0 | ||
remote_sensing_train_035434 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | sus non-health features and locations (i.e., {lat, lon}). Here, | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 35434,
"split_group": "remote_sensing:403b7131dd4df702ec0532f576d86641b30dbfcc"
} | 403b7131dd4df702ec0532f576d86641b30dbfcc | 17 | train | 0 | 0 | ||
geogpt_train_00031300 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Based on the geological mapping and analysis of the Terra Cimmeria-Nepenthes Mensae transitional zone, identify and describe the nineteen geologic units mapped in the study. For each unit, provide its formation age estimate and briefly explain its significance in the geological history of the region.
Reasoni... | Based on the geological mapping and analysis of the Terra Cimmeria-Nepenthes Mensae transitional zone, identify and describe the nineteen geologic units mapped in the study. For each unit, provide its formation age estimate and briefly explain its significance in the geological history of the region. | Reasoning:
Okay, so I need to figure out the nineteen geologic units mapped in the study of the Terra Cimmeria-Nepenthes Mensae transitional zone on Mars. The user provided a detailed text, so I should start by reading through that to find the relevant information.
First, I'll look for sections that mention the geolog... | [
{
"role": "user",
"content": "Based on the geological mapping and analysis of the Terra Cimmeria-Nepenthes Mensae transitional zone, identify and describe the nineteen geologic units mapped in the study. For each unit, provide its formation age estimate and briefly explain its significance in the geological... | {
"raw_index": 31300,
"title": "Geologic map of the Terra Cimmeria-Nepenthes Mensae transitional zone, Mars – 1:1.45Million",
"authors": "Ángel García-Arnay",
"doi": "10.1080/17445647.2023.2227205",
"journal": "Journal of Maps",
"volume": "Volume 19 2023",
"pages": "Article: 2227205",
"license": "CC-BY"... | c2f7b7fc74f9081d8282ed2f65246f931b32995f | 2,107 | train | 57 | 2,048 |
geogpt_train_00024719 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
A study was conducted to evaluate the effect of Ajitein, a single-cell protein, on the productivity of fat-tail sheep. Four treatments were tested: P0 (0% Ajitein), P1 (2% Ajitein), P2 (4% Ajitein), and P3 (6% Ajitein). The concentrate used in each treatment was isoprotein (22% crude protein). The experiment ... | A study was conducted to evaluate the effect of Ajitein, a single-cell protein, on the productivity of fat-tail sheep. Four treatments were tested: P0 (0% Ajitein), P1 (2% Ajitein), P2 (4% Ajitein), and P3 (6% Ajitein). The concentrate used in each treatment was isoprotein (22% crude protein). The experiment measured f... | Reasoning:
Okay, so I need to figure out the optimal percentage of Ajitein in the concentrate for fat-tail sheep based on the study results. The study had four treatments: P0 (0%), P1 (2%), P2 (4%), and P3 (6%). They measured feed consumption, average daily gain (ADG), and feed conversion. The results showed that P3 ha... | [
{
"role": "user",
"content": "A study was conducted to evaluate the effect of Ajitein, a single-cell protein, on the productivity of fat-tail sheep. Four treatments were tested: P0 (0% Ajitein), P1 (2% Ajitein), P2 (4% Ajitein), and P3 (6% Ajitein). The concentrate used in each treatment was isoprotein (22%... | {
"raw_index": 24719,
"title": "Optimizing productivity of fat-tail sheep using single cell protein in concentrate",
"authors": "P H Ndaru;Hermanto;Kusmartono;A N Huda",
"doi": "doi.org/10.1088/1755-1315/411/1/012028",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Volume 41... | 2e30b887d0e43e9eb845236a7c0f25545d578a09 | 711 | train | 171 | 538 |
climateqa_train_019001 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | doi:10.2151/sola.2019-001. Tripathi, O.P. and F. Dominguez, 2013: Effects of spatial resolution in the simulation of daily and subdaily precipitation in the southwestern US. Journal of Geophysical Research: Atmospheres, 118(14), 7591-7605, doi:10.1002/ jgrd.50590. Troin, M. et al., 2016: A complete hydro-climate model ... | [] | {
"document_id": "document2",
"document_number": 2,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGI FR",
"name": "Full Report. In: Climate Change 2021: The Physical Science Basis. Contribution of the WGI to the AR6 of the IPCC",
"chapter": null,
"page_number": 2070,
"sectio... | eeb46cb13794bbec68849e47dad3d25c98a916b3 | 224 | train | 0 | 0 | ||
remote_sensing_train_041849 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | training data which takes days to train even with high computational resources. Thus, there is a need | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 41849,
"split_group": "remote_sensing:fc2e4d9183c57dec156f6def4287d3fdc3197fd9"
} | fc2e4d9183c57dec156f6def4287d3fdc3197fd9 | 19 | train | 0 | 0 | ||
remote_sensing_train_061725 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | Table 15: Additional results for the TreeSatAI (as in (Ahlswede et al., 2023), we report precision | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 61725,
"split_group": "remote_sensing:63cc763fb8c2743b6db31772186058d49d535a4e"
} | 63cc763fb8c2743b6db31772186058d49d535a4e | 29 | train | 0 | 0 | ||
climateqa_train_069575 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | options and SDGs such as the economic impacts (synergies and trade-offs) associated with reduced energy demand, resulting in lower energy prices, energy-efficiency investments, the fostering of innovation and improvements in labour productivity. Furthermore, the distributional costs of some mitigation policies may hind... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 1775,
"... | 4d8fb57807e47c5c0e032ea388af8486d5f36a60 | 155 | train | 0 | 0 | ||
geogpt_train_00021971 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Evaluate the implementation effect of power demand response in four cities (Beijing, Shanghai, Jiangsu, and Foshan) using the grey relational ideal point combination analysis model. Based on the provided standardized data and evaluation model, determine which city demonstrates the best implementation effect o... | Evaluate the implementation effect of power demand response in four cities (Beijing, Shanghai, Jiangsu, and Foshan) using the grey relational ideal point combination analysis model. Based on the provided standardized data and evaluation model, determine which city demonstrates the best implementation effect of power de... | Reasoning:
Okay, so I need to evaluate the implementation effect of power demand response in four cities: Beijing, Shanghai, Jiangsu, and Foshan. The method to use is the grey relational ideal point combination analysis model. I remember from the text that this model combines TOPSIS with grey correlation analysis. Let ... | [
{
"role": "user",
"content": "Evaluate the implementation effect of power demand response in four cities (Beijing, Shanghai, Jiangsu, and Foshan) using the grey relational ideal point combination analysis model. Based on the provided standardized data and evaluation model, determine which city demonstrates ... | {
"raw_index": 21971,
"title": "Evaluation of the Implementation Effect of Power Demand Response under the Background of the New Power Reform and Electricity",
"authors": "Liping Sun;Lifang Wang;Qian An;Mingming Pan;Shiming Tian;Lei Wu",
"doi": "doi.org/10.1088/1755-1315/300/4/042131",
"journal": "IOP Confere... | 0003d6eb1a13df1fcc90178af887001ff84d9ebe | 1,196 | train | 80 | 1,114 |
remote_sensing_train_027446 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | conservative scores, which further decreases the class-averaged score. | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 27446,
"split_group": "remote_sensing:3e6428e1fc1effcd4b7b9ead9c8402ae70948001"
} | 3e6428e1fc1effcd4b7b9ead9c8402ae70948001 | 14 | train | 0 | 0 | ||
remote_sensing_train_032961 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | 3 foreground and 5 background classes as prior, for 300 iterations. This network is then used to predict the foreground | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 32961,
"split_group": "remote_sensing:50e2a458d703a9bfa207ba5232d30aa4eada5dc1"
} | 50e2a458d703a9bfa207ba5232d30aa4eada5dc1 | 24 | train | 0 | 0 | ||
remote_sensing_train_042383 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | [23] Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, | [] | {
"raw_file": "train-00000-of-00001.parquet",
"raw_row_index": 42383,
"split_group": "remote_sensing:4707852d262a6779dddde1a1a277afbf6c60e492"
} | 4707852d262a6779dddde1a1a277afbf6c60e492 | 29 | train | 0 | 0 | ||
geogpt_train_00029463 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Determine the age of the Serenitatis Basin based on the U-Pb geochronology of phosphate minerals in lunar norites from Apollo 17 samples. Use the provided data and methods to calculate the age and discuss its implications for the Late Heavy Bombardment hypothesis.
Reasoning:
Okay, so I need to figure out the... | Determine the age of the Serenitatis Basin based on the U-Pb geochronology of phosphate minerals in lunar norites from Apollo 17 samples. Use the provided data and methods to calculate the age and discuss its implications for the Late Heavy Bombardment hypothesis. | Reasoning:
Okay, so I need to figure out the age of the Serenitatis Basin using the U-Pb geochronology data from the lunar norites in the Apollo 17 samples. Let me start by understanding what the text says.
The article mentions that they analyzed phosphate minerals, specifically apatite and merrillite, in the norites.... | [
{
"role": "user",
"content": "Determine the age of the Serenitatis Basin based on the U-Pb geochronology of phosphate minerals in lunar norites from Apollo 17 samples. Use the provided data and methods to calculate the age and discuss its implications for the Late Heavy Bombardment hypothesis."
},
{
... | {
"raw_index": 29463,
"title": "Lunar samples record an impact 4.2 billion years ago that may have formed the Serenitatis Basin",
"authors": "Černok, Ana;White, Lee F.;Anand, Mahesh;Tait, Kimberly T.;Darling, James R.;Whitehouse, Martin;Miljković, Katarina;Lemelin, Myriam;Reddy, Steven M.;Fougerouse, Denis;Rickar... | c0729bffecbab258d8bd0aef2aaf9db7178bb551 | 888 | train | 57 | 829 |
geogpt_train_00036998 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the data provided in the study, calculate the real leakage volume of the university's water supply network during the minimum night flow period. Assume the minimum night flow occurs between 2:00 and 5:00 a.m. and use the normal distribution model with a confidence interval of (μ - σ, μ + σ). Show all st... | Using the data provided in the study, calculate the real leakage volume of the university's water supply network during the minimum night flow period. Assume the minimum night flow occurs between 2:00 and 5:00 a.m. and use the normal distribution model with a confidence interval of (μ - σ, μ + σ). Show all steps in you... | Reasoning:
Okay, so I need to calculate the real leakage volume of the university's water supply network during the minimum night flow period using the data provided in the study. The minimum night flow occurs between 2:00 and 5:00 a.m., and I should use the normal distribution model with a confidence interval of (μ - ... | [
{
"role": "user",
"content": "Using the data provided in the study, calculate the real leakage volume of the university's water supply network during the minimum night flow period. Assume the minimum night flow occurs between 2:00 and 5:00 a.m. and use the normal distribution model with a confidence interva... | {
"raw_index": 36998,
"title": "Leakage assessment of water supply networks in a university based on WB-Easy Calc and night minimum flow: a case study in Xi'an",
"authors": "Zhang, Bo;Zhang, Jingtai;Xiong, Jiaqing",
"doi": "10.2166/ws.2024.163",
"journal": "Water Supply",
"volume": "Volume 24, Number 8",
... | 4913af5b00317c7d41b1cc86b42eaf5863eb7690 | 712 | train | 85 | 625 |
climateqa_train_016878 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | on higher mean temperatures, with J.R. Lee et al. (2017) projecting more than 50 additional degree days above freezing (2098 RCP8.5 compared with 2014) over parts of the Antarctic Peninsula but smaller changes over mainland Antarctica. 12.4.9.2 Wet and Dry Mean precipitation: Atlas.11.2 indicated medium confidence in o... | [] | {
"document_id": "document2",
"document_number": 2,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGI FR",
"name": "Full Report. In: Climate Change 2021: The Physical Science Basis. Contribution of the WGI to the AR6 of the IPCC",
"chapter": null,
"page_number": 1860,
"sectio... | f9da1a8dfc2e42b80b2b47e18bb8461ffa6b17ed | 172 | train | 0 | 0 | ||
geogpt_train_00009307 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Based on the research conducted on 98 cities in Indonesia, what percentage of local governments were categorized as having a high level of e-government implementation? Support your answer with data from the study.
Reasoning:
Okay, so I need to figure out what percentage of local governments in Indonesia were... | Based on the research conducted on 98 cities in Indonesia, what percentage of local governments were categorized as having a high level of e-government implementation? Support your answer with data from the study. | Reasoning:
Okay, so I need to figure out what percentage of local governments in Indonesia were categorized as having a high level of e-government implementation based on the research conducted on 98 cities. Let me start by reading through the text carefully to find the relevant information.
First, I'll look for secti... | [
{
"role": "user",
"content": "Based on the research conducted on 98 cities in Indonesia, what percentage of local governments were categorized as having a high level of e-government implementation? Support your answer with data from the study."
},
{
"role": "assistant",
"content": "Reasoning:\nO... | {
"raw_index": 9307,
"title": "Smart governance for smart city",
"authors": "Dewi Mutiara;Siti Yuniarti;Bambang Pratama",
"doi": "doi.org/10.1088/1755-1315/126/1/012073",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Volume 126",
"pages": null,
"license": "CC-BY",
"sp... | 9cd084146cb0320a7b597eacfdfe610d5ebfa155 | 444 | train | 38 | 404 |
climateqa_train_100185 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Lingen, C., Atkinson, L. J., Wilkinson, S., Hikness, S., & Wolf, T. (2011). Spatial planning to identify focus areas for offshore biodiversity protection in South Africa. Cape Town, South Africa: SANBI. Retrieved from https://www.sanbi.org/ sites/default/files/documents/documents/ ompareportdec2011summary-reportfinal.... | [] | {
"document_id": "document27",
"document_number": 27,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR AF FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for Africa",
"chapter": null,
"page_number": 254,
"section_header": "Saenger, ... | ff59cbdb4369c57272252b93aa96a161a020da2d | 191 | train | 0 | 0 | ||
geogpt_train_00036196 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the Vector Error Correction Model (VECM), analyze the impact of economic shocks on the value of agricultural domestic product (Y) in Iraq for the period (2004-2022). Specifically, determine the short-term and long-term effects of oil prices (OP), public revenues (ORE), public expenditures (PEX), agricul... | Using the Vector Error Correction Model (VECM), analyze the impact of economic shocks on the value of agricultural domestic product (Y) in Iraq for the period (2004-2022). Specifically, determine the short-term and long-term effects of oil prices (OP), public revenues (ORE), public expenditures (PEX), agricultural inve... | Reasoning:
Okay, so I need to analyze the impact of economic shocks on the value of agricultural domestic product (Y) in Iraq using the Vector Error Correction Model (VECM). The variables involved are oil prices (OP), public revenues (ORE), public expenditures (PEX), agricultural investment allocations (IA), agricultur... | [
{
"role": "user",
"content": "Using the Vector Error Correction Model (VECM), analyze the impact of economic shocks on the value of agricultural domestic product (Y) in Iraq for the period (2004-2022). Specifically, determine the short-term and long-term effects of oil prices (OP), public revenues (ORE), pu... | {
"raw_index": 36196,
"title": "The Impact of Economic Shocks on the Value of Agricultural Domestic Product in Iraq for the Period (2004-2022)",
"authors": "Mahmoud Fadel Mahmoud;Najlaa Salah Madlul",
"doi": "doi.org/10.1088/1755-1315/1371/9/092004",
"journal": "IOP Conference Series: Earth and Environmental ... | 66056436f41039f70552a35ee576e30bc6914227 | 2,773 | train | 117 | 2,654 |
remote_sensing_train_041873 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | the performance of contrastive learning. Our gallery is a collection of GPS coordinates instead of | [] | {
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remote_sensing_train_015536 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | [39] Paul Viola, Michael Jones, et al. Rapid object detection using | [] | {
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climateqa_train_093066 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Cronkleton, P., & Larson, A. (2015). Formalization and Collective Appropriation of Space on Forest Frontiers: Comparing Communal and Individual Property Systems in the Peruvian and Ecuadoran Amazon. Society & Natural Resources, 28(5), 496-512. https://doi.org/10.1080/0894192 0.2015.1014609 Cruz, R. E. A., Kaplan, D. A.... | [] | {
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"document_number": 25,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES TAM SW FR",
"name": "Full Report. Thematic assessment of the sustainable use of wild species of the IPBES",
"chapter": null,
"page_number": 438,
"section_header": "Arzel, P. (198... | a3d52310883dd4573d193a76ac1893f966bb4327 | 167 | train | 0 | 0 | ||
geogpt_test_00003604 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_test | cot_qa | Question:
Using the details from the text, explain how gradient temperature rolling (GTR) affects the average grain size of ultra-heavy plates during the rolling process. Include the specific conditions and results discussed in the paper.
Reasoning:
Okay, so I need to figure out how gradient temperature rolling (GTR) ... | Using the details from the text, explain how gradient temperature rolling (GTR) affects the average grain size of ultra-heavy plates during the rolling process. Include the specific conditions and results discussed in the paper. | Reasoning:
Okay, so I need to figure out how gradient temperature rolling (GTR) affects the average grain size of ultra-heavy plates during the rolling process. The text provided is a scientific paper, so I'll have to go through it carefully to extract the relevant information.
First, I'll start by understanding what ... | [
{
"role": "user",
"content": "Using the details from the text, explain how gradient temperature rolling (GTR) affects the average grain size of ultra-heavy plates during the rolling process. Include the specific conditions and results discussed in the paper."
},
{
"role": "assistant",
"content":... | {
"raw_index": 3604,
"title": "Effect of gradient temperature rolling on microstructure of initial pass of ultra-heavy plates",
"authors": "Bo Xu;Hongyuan Fu;Xin Zhang;Shouyuan Bian;Ling Yan;Shengli Li",
"doi": "doi.org/10.1088/1755-1315/233/2/022012",
"journal": "IOP Conference Series: Earth and Environmenta... | ebe693745abc0bcf7c68968899a6b6b046504c39 | 726 | train | 41 | 683 |
geogpt_train_00023422 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
A Francis turbine operates under various conditions with solid-liquid two-phase flow. Using the Finnie Wear Prediction Model, determine the relationship between the relative wear rate of the guide vanes and the flow rate. Provide a mathematical expression derived from the study's findings.
Reasoning:
Okay, s... | A Francis turbine operates under various conditions with solid-liquid two-phase flow. Using the Finnie Wear Prediction Model, determine the relationship between the relative wear rate of the guide vanes and the flow rate. Provide a mathematical expression derived from the study's findings. | Reasoning:
Okay, so I'm trying to figure out the relationship between the relative wear rate of the guide vanes and the flow rate in a Francis turbine using the Finnie Wear Prediction Model. Let me start by going through the text provided.
First, I remember that the Finnie model is used to predict wear rates. The form... | [
{
"role": "user",
"content": "A Francis turbine operates under various conditions with solid-liquid two-phase flow. Using the Finnie Wear Prediction Model, determine the relationship between the relative wear rate of the guide vanes and the flow rate. Provide a mathematical expression derived from the study... | {
"raw_index": 23422,
"title": "Study on the wearing law of the runner and guide vanes for a Francis turbine",
"authors": "G J Peng;Y Y Luo;H W Fang;L M Zhai;Z W Wang",
"doi": "doi.org/10.1088/1755-1315/15/4/042010",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Number 4, N... | b6d003e248dee310af33c0acd87ad77fb0ac0d46 | 665 | train | 52 | 611 |
geogpt_train_00027864 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the stepwise linear multivariable regression model established in the study, calculate the dew intensity (I) under the following meteorological conditions: Relative Humidity (RH) = 75%, Dew Point Temperature (T_d) = 15°C, and Temperature Difference (T_d - T_a) = 2°C. Show all your calculations and provi... | Using the stepwise linear multivariable regression model established in the study, calculate the dew intensity (I) under the following meteorological conditions: Relative Humidity (RH) = 75%, Dew Point Temperature (T_d) = 15°C, and Temperature Difference (T_d - T_a) = 2°C. Show all your calculations and provide the fin... | Reasoning:
Okay, so I need to calculate the dew intensity using the stepwise linear multivariable regression model from the study. The given meteorological conditions are RH = 75%, T_d = 15°C, and T_d - T_a = 2°C.
First, I remember from the text that the model equation is provided. Let me look back. Oh, right, the eq... | [
{
"role": "user",
"content": "Using the stepwise linear multivariable regression model established in the study, calculate the dew intensity (I) under the following meteorological conditions: Relative Humidity (RH) = 75%, Dew Point Temperature (T_d) = 15°C, and Temperature Difference (T_d - T_a) = 2°C. Show... | {
"raw_index": 27864,
"title": "The Effect of Climate Change on Variations in Dew Amount in a Paddy Ecosystem of the Sanjiang Plain, China",
"authors": "Yingying Xu;Baixing Yan;Jie Tang",
"doi": "10.1155/2015/793107",
"journal": "Advances in Meteorology",
"volume": "2015",
"pages": "793107",
"license": ... | 012a83f0cd310578d4e339f0d8104cb1d63cd065 | 901 | train | 83 | 816 |
climateqa_train_041345 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | <Section-header> 13.9.2 Inter-regional Consequences of Climate Risks and Adaptation Emerging from Europe </Section-header> | [] | {
"document_id": "document6",
"document_number": 6,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGII FR",
"name": "Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 18... | 8ed2acd362629547c9c663a129bf11d78410cbc3 | 29 | train | 0 | 0 | ||
geogpt_train_00030792 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
The Setia Kawan Group is implementing the TUF (Filtering-threaded technology) system with geomembrane technology to improve salt production. Explain the steps involved in the TUF method and how iodization is applied to produce iodized salt meeting SNI requirements. Include the economic impact of this producti... | The Setia Kawan Group is implementing the TUF (Filtering-threaded technology) system with geomembrane technology to improve salt production. Explain the steps involved in the TUF method and how iodization is applied to produce iodized salt meeting SNI requirements. Include the economic impact of this production method ... | Reasoning:
Okay, so I need to explain the steps involved in the TUF method and how iodization is applied to produce iodized salt that meets SNI requirements, as well as the economic impact on the Setia Kawan Group's income. Let me break this down step by step.
First, I'll start by understanding what the TUF method is.... | [
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"role": "user",
"content": "The Setia Kawan Group is implementing the TUF (Filtering-threaded technology) system with geomembrane technology to improve salt production. Explain the steps involved in the TUF method and how iodization is applied to produce iodized salt meeting SNI requirements. Include the ... | {
"raw_index": 30792,
"title": "Village Development Program for Producing Iodized Salt for Sustainable Development Community",
"authors": "D Mardhia;D Syafikri;F Yahya;N Andriyani;G Gunawan",
"doi": "doi.org/10.1088/1755-1315/755/1/012075",
"journal": "IOP Conference Series: Earth and Environmental Science",
... | c7fadf121ed457daca45168c5340112305805735 | 1,442 | train | 68 | 1,372 |
climateqa_train_106421 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | * While funding plays a role in the implementation of the Convention on Biological Diversity, general awareness among policy makers also plays a significant role, whereas lack of awareness among those responsible for policy implementation can be detrimental (Gagnon-Legare & Prestre, 2014; Howes et al., 2017). 500500 | [] | {
"document_id": "document29",
"document_number": 29,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR AM FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for the Americas",
"chapter": null,
"page_number": 545,
"section_header": "5.7... | ed1352ff4afddfebad26f693dbeea2746014100e | 67 | train | 0 | 0 | ||
climateqa_train_114166 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | of grassland remains (from 10% to 90% for different steppe and semi-desert types) (Henwood, 2010; Rachkovskaya & Bragina, 2012). An example of a more detailed assessment can be found in Hungary, where approximately 251 thousand ha (6.8%) of the original total of 3.7 million ha of forest-steppe vegetation survived, of w... | [] | {
"document_id": "document33",
"document_number": 33,
"source": "IPBES",
"report_type": "Full Report",
"short_name": "IPBES RAR ECA FR",
"name": "Full Report. Regional Assessment Report on Biodiversity and Ecosystem Services for Europe and Central Asia",
"chapter": null,
"page_number": 272,
"section_h... | c515c0be620db3b675a416c31b444b4e33ecabf1 | 208 | train | 0 | 0 | ||
geogpt_train_00006723 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the response surface analysis results provided in the text, determine the optimal values of hole diameter (A) and cylinder pressure (B) that maximize the single grain rate (Y₁) and minimize the cavity rate (Y₂). Show your calculations and reasoning based on the regression equations and optimization resu... | Using the response surface analysis results provided in the text, determine the optimal values of hole diameter (A) and cylinder pressure (B) that maximize the single grain rate (Y₁) and minimize the cavity rate (Y₂). Show your calculations and reasoning based on the regression equations and optimization results discus... | Reasoning:
Okay, so I need to figure out the optimal values of hole diameter (A) and cylinder pressure (B) that maximize the single grain rate (Y₁) and minimize the cavity rate (Y₂) using the response surface analysis results from the text. Let me start by understanding what the text provides.
First, the text mentions... | [
{
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"content": "Using the response surface analysis results provided in the text, determine the optimal values of hole diameter (A) and cylinder pressure (B) that maximize the single grain rate (Y₁) and minimize the cavity rate (Y₂). Show your calculations and reasoning based on the regression... | {
"raw_index": 6723,
"title": "Optimization test of the 2BSL-320 vegetable seeders with air-suction drum type",
"authors": "B Tang;Y S Wang;S Z Ji",
"doi": "doi.org/10.1088/1755-1315/77/1/012010",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Volume 77",
"pages": null,
... | 79c324e489d1ff52b39fec61892952cd57302e88 | 1,754 | train | 64 | 1,688 |
climateqa_train_022424 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | TS.D.6 Cities and settlements are crucial for delivering urgent climate action. The concentration and interconnection of people, infrastructure and assets within and across cities and into rural areas drives the creation of risks and solutions at a global scale (high confidence). Concentrated inequalities in risk are b... | [] | {
"document_id": "document5",
"document_number": 5,
"source": "IPCC",
"report_type": "TS",
"short_name": "IPCC AR6 WGII TS",
"name": "Technical Summary. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 56,
... | 2b8d44b1f22a77a81b7680c4e9b038740531ede9 | 194 | train | 0 | 0 | ||
geogpt_train_00005565 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Consider a complex multi-channel hydraulic system described by the equations of continuity and momentum conservation. Develop a numerical algorithm to solve the steady-state flow parameters (mass flow and pressure) in the system using the sweep method and Runge-Kutta integration. Include the formation of boun... | Consider a complex multi-channel hydraulic system described by the equations of continuity and momentum conservation. Develop a numerical algorithm to solve the steady-state flow parameters (mass flow and pressure) in the system using the sweep method and Runge-Kutta integration. Include the formation of boundary condi... | Reasoning:
Okay, so I'm trying to figure out how to develop a numerical algorithm for solving the steady-state flow parameters in a complex multi-channel hydraulic system. The question mentions using the sweep method and Runge-Kutta integration, along with forming boundary condition matrices and an iterative process fo... | [
{
"role": "user",
"content": "Consider a complex multi-channel hydraulic system described by the equations of continuity and momentum conservation. Develop a numerical algorithm to solve the steady-state flow parameters (mass flow and pressure) in the system using the sweep method and Runge-Kutta integratio... | {
"raw_index": 5565,
"title": "Mathematical modeling of fluid flow in complex multi-channel structures",
"authors": "V Y Shashkin",
"doi": "doi.org/10.1088/1755-1315/87/8/082045",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Number 8, October 2017",
"pages": null,
"lic... | 560059a7d83f3edf8154512e9e3e9102a3febd4f | 2,024 | train | 62 | 1,960 |
climateqa_train_018160 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | 1960-1990 as the baseline period. Similarly, SREX (Table 3-3 in Seneviratne et al., 2012) reported low confidence (due to lack of literature) in trends in climate indices related to extreme precipitation events. The Indian summer monsoon circulation was found to have weakened, but this was compensated by increased loca... | [] | {
"document_id": "document2",
"document_number": 2,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGI FR",
"name": "Full Report. In: Climate Change 2021: The Physical Science Basis. Contribution of the WGI to the AR6 of the IPCC",
"chapter": null,
"page_number": 1995,
"sectio... | 76015ad8870407b37d41020db6a243b7a7bc3cf2 | 194 | train | 0 | 0 | ||
geogpt_train_00004942 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
An experimental study investigates the deformation characteristics of heavy metal contaminated expansive soil under cyclic loading. The study examines the effects of heavy metal ion concentration, dynamic stress amplitude, vibration frequency, and confining pressure on the axial cumulative strain and critical... | An experimental study investigates the deformation characteristics of heavy metal contaminated expansive soil under cyclic loading. The study examines the effects of heavy metal ion concentration, dynamic stress amplitude, vibration frequency, and confining pressure on the axial cumulative strain and critical dynamic s... | Reasoning:
Okay, so I need to figure out how to answer the question about the relationship between heavy metal ion concentration and critical dynamic stress, considering the influence of confining pressure. Let me start by recalling what I know from the text.
The study looked at how different factors affect the deform... | [
{
"role": "user",
"content": "An experimental study investigates the deformation characteristics of heavy metal contaminated expansive soil under cyclic loading. The study examines the effects of heavy metal ion concentration, dynamic stress amplitude, vibration frequency, and confining pressure on the axia... | {
"raw_index": 4942,
"title": "Experimental study on deformation of heavy metal contaminated expansive soil under cyclic loading",
"authors": "Yuguo Zhang;Yanlin Zheng;Shuai Han;Dongyang Wan;Hanyue Yang;Mengmeng Duan",
"doi": "doi.org/10.1088/1755-1315/237/2/022026",
"journal": "IOP Conference Series: Earth a... | e4d5440f4b175442a517b1ed0eeb28f4c11baef0 | 878 | train | 98 | 778 |
geogpt_train_00021077 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
Using the Midas/civil solid element model, analyze the effect of implanting reinforcing bars on the temperature stress of a structure under an overall temperature load. Consider a cuboid model with dimensions 6.0m (length), 4.0m (width), and 5.0m (height). The model uses regular hexagonal solid elements with ... | Using the Midas/civil solid element model, analyze the effect of implanting reinforcing bars on the temperature stress of a structure under an overall temperature load. Consider a cuboid model with dimensions 6.0m (length), 4.0m (width), and 5.0m (height). The model uses regular hexagonal solid elements with an edge le... | Reasoning:
Okay, so I need to figure out the percentage reduction in maximum internal stress at the contact interface when reinforcing bars are implanted in the Midas/civil solid element model under an overall temperature load. Let me break this down step by step.
First, I'll look at the given data. The model is a cub... | [
{
"role": "user",
"content": "Using the Midas/civil solid element model, analyze the effect of implanting reinforcing bars on the temperature stress of a structure under an overall temperature load. Consider a cuboid model with dimensions 6.0m (length), 4.0m (width), and 5.0m (height). The model uses regula... | {
"raw_index": 21077,
"title": "Mechanical Property Study on the Planting Bar Strengthening Structure based on Midas/civil Solid Element",
"authors": "Zilong Li;Jianming Yang;Fulong Kang;Qiongfang Wu",
"doi": "doi.org/10.1088/1755-1315/267/4/042092",
"journal": "IOP Conference Series: Earth and Environmental ... | 376e8d4a0fa8ba6f818738ad1bdee212e7c824fa | 770 | train | 225 | 543 |
geogpt_train_00033896 | geoscience | GeoGPT-Research-Project/GeoGPT-CoT-QA | hash_train | cot_qa | Question:
A study investigates the performance of the lime column technique on a Na-bentonite clay with high swelling potential. The laboratory model consists of a column with a diameter of 50 mm, and the curing time is 60 days. Free swelling tests are performed on specimens extracted at different distances from the co... | A study investigates the performance of the lime column technique on a Na-bentonite clay with high swelling potential. The laboratory model consists of a column with a diameter of 50 mm, and the curing time is 60 days. Free swelling tests are performed on specimens extracted at different distances from the column. The ... | Reasoning:
Okay, so I've got this question about a study on the lime column technique for treating Na-bentonite clay. The question is asking me to calculate the percentage improvement in swelling reduction at a specific distance and determine the most effective treatment distance based on the results. Let me break this... | [
{
"role": "user",
"content": "A study investigates the performance of the lime column technique on a Na-bentonite clay with high swelling potential. The laboratory model consists of a column with a diameter of 50 mm, and the curing time is 60 days. Free swelling tests are performed on specimens extracted at... | {
"raw_index": 33896,
"title": "Study on the Performance of Lime Column Technique for Treatment of a Na-Bentonite Clay",
"authors": "Derya Toksoz;Isik Yilmaz",
"doi": "doi.org/10.1088/1755-1315/221/1/012018",
"journal": "IOP Conference Series: Earth and Environmental Science",
"volume": "Volume 221",
"pag... | db1eb9f8bef6248d4ea21b8a4ecac58ef67a70e4 | 932 | train | 126 | 804 |
climateqa_train_029501 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Wako, G., M. Tadesse and A. Angassa, 2017: Camel management as an adaptive strategy to climate change by pastoralists in southern Ethiopia. Ecol. Process., 6(1), 26, doi:10.1186/s13717-017-0093-5. Warner, K. and T. Afifi, 2014: Where the rain falls: evidence from 8 countries on how vulnerable households use migration t... | [] | {
"document_id": "document6",
"document_number": 6,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGII FR",
"name": "Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC",
"chapter": null,
"page_number": 72... | 9d4670430b74cba9ea5b0f66e550f5713e16d061 | 203 | train | 0 | 0 | ||
climateqa_train_066212 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | Smith, J., 2000: The daily globe: environmental change, the public and the media. Earthscan Publications Ltd., London, UK, pp. 280. Steffen, B., T.S. Schmidt, and P. Tautorat, 2019: Measuring whether municipal climate networks make a difference: the case of utility-scale solar PV investment in large global cities. Clim... | [] | {
"document_id": "document9",
"document_number": 9,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGIII FR",
"name": "Full Report. In: Climate Change 2022: Mitigation of Climate Change. Contribution of the WGIII to the AR6 of the IPCC",
"chapter": null,
"page_number": 1456,
"... | 9c5fb4ecdb916c1d9769bc6b3d79599bb171527e | 222 | train | 0 | 0 | ||
remote_sensing_train_013788 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | is the prediction of fire occurrence and characteristics such as burnt | [] | {
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} | 8c5b71431e63897ef665035fdf5c9de2c26841d2 | 11 | train | 0 | 0 | ||
remote_sensing_train_038958 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | sensing of coral reefs for monitoring and management: a review. | [] | {
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} | 96e2766eeef088e0edea551e441251a25b9467f9 | 13 | train | 0 | 0 | ||
remote_sensing_test_003362 | remote_sensing | gremlin97/RemoteSensingCorpus | test | document_chunk | 95. S. Jayachandran et al., Cash for carbon: A randomized trial of | [] | {
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} | 1ee2c97854d61570fc64ec0bd40b5399b3eda95b | 19 | train | 0 | 0 | ||
remote_sensing_test_003805 | remote_sensing | gremlin97/RemoteSensingCorpus | test | document_chunk | ImageNet (sup.) 70.46 71.82 80.04 86.74 70.46 71.82 80.04 86.74 | [] | {
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remote_sensing_train_012430 | remote_sensing | gremlin97/RemoteSensingCorpus | train | document_chunk | correctly capture the sparse buildings and connect these re- | [] | {
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"split_group": "remote_sensing:f16f0c9f909278cf15cd93a94ba61640e04a8503"
} | f16f0c9f909278cf15cd93a94ba61640e04a8503 | 11 | train | 0 | 0 | ||
climateqa_train_019944 | climate | Ekimetrics/climateqa-ipcc-ipbes-reports-1.0 | hash_train | document_chunk | The climatological onset of the SAsiaM occurs around 20 May over the Andaman and Nicobar Islands and covers the central Bay of Bengal around 25 May, while it simultaneously advances into mainland India from the south through Kerala (Pai et al., 2020). The normal date of monsoon onset over Kerala is 1 June and the monso... | [] | {
"document_id": "document2",
"document_number": 2,
"source": "IPCC",
"report_type": "Full Report",
"short_name": "IPCC AR6 WGI FR",
"name": "Full Report. In: Climate Change 2021: The Physical Science Basis. Contribution of the WGI to the AR6 of the IPCC",
"chapter": null,
"page_number": 2212,
"sectio... | 5400df83a0e6b66f3e1d3421429e5de5aea18f14 | 195 | train | 0 | 0 |
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