Datasets:
Licences, sources and attributions
Every dataset keeps its own licence. The data was segmented, cleaned (invalid values masked, duplicates removed), filtered (series overlapping the fev-bench, GIFT-Eval and TIME test data removed; covariate collections use data before a fixed cutoff per source), paired with known-future inputs (covariates) and given neutral series ids (the Wikipedia and subway collections keep article titles or station names as ids).
Univariate datasets (univariate/<folder>)
Covariate collections (covariates/<folder>)
| Folder | Data | Licence |
|---|---|---|
aemo_solar_farm_nwp |
AEMO NEMweb Dispatch_SCADA (DISPATCH_UNIT_SCADA) and Next_Day_PreDispatch (PREDISPATCH UNIT_SOLUTION); Open-Meteo Previous Runs API (ECMWF IFS 0.25); farm metadata from the OpenNEM station registry | AEMO copyright permissions (use with attribution); Open-Meteo / ECMWF CC BY 4.0 |
aemo_wem_load_forecast |
AEMO Wholesale Electricity Market (Western Australia, SWIS) operational load with AEMO's pre-dispatch energy requirement forecast | AEMO copyright permissions (use with attribution) |
aemo_wind_farm_nwp |
AEMO NEMweb Dispatch_SCADA (DISPATCH_UNIT_SCADA) and Next_Day_PreDispatch (PREDISPATCH UNIT_SOLUTION); Open-Meteo Previous Runs API (ECMWF IFS 0.25); farm metadata from the OpenNEM station registry | AEMO copyright permissions (use with attribution); Open-Meteo / ECMWF CC BY 4.0 |
asos_temperature_mos |
Iowa Environmental Mesonet: ASOS routine METAR temperature and GFS MOS (MAV) archive | Public domain (NWS) |
battery_drive_cycles |
McMaster University (Kollmeyer et al.), LG 18650HG2 Li-ion battery data, Mendeley Data cp3473x7xv v3: drive-cycle cycler CSVs | CC BY 4.0 |
bcb_focus_inflation |
Banco Central do Brasil: Focus market expectations (Olinda OData ExpectativaMercadoMensais, baseCalculo 0) and SGS monthly IPCA component series | ODbL 1.0 (BCB open data portal: Focus survey and SGS series) |
bts_airport_schedule |
US DOT BTS Airline On-Time Performance (Reporting Carrier, PREZIP monthly files) | US Government work (BTS/DOT), public domain |
cams_europe_air_quality |
EEA E2a up-to-date air quality observations; CAMS European air quality ensemble forecast via the Open-Meteo Single Runs API | Copernicus licence (CAMS; free, with attribution); EEA re-use policy (CC BY 4.0); Open-Meteo CC BY 4.0 |
city_load_weather_forecast |
EIA-930 hourly demand by subregion (six-month SUBREGION bulk files); GFS MOS (MAV) from the Iowa Environmental Mesonet for one airport per PJM/ERCOT/ISO-NE subregion | US Government work, public domain (EIA; NWS MOS via the Iowa Environmental Mesonet) |
covid_hub_admissions |
CDC COVID-19 Forecast Hub (NHSN target); hub ensemble model-output | CC0 / US public domain (CDC Forecast Hub) |
cpc_monthly_outlook |
NOAA CPC official long-lead outlooks (station probabilities, all leads, temperature and precipitation) mapped to climate divisions; NOAA NCEI nClimDiv divisional temperature | US government works (NOAA/NWS/NCEI), public domain in the US |
dk_wind_solar_dayahead |
Energinet Energi Data Service: Forecasts_Hour and ProductionConsumptionSettlement | CC BY 4.0 (Energi Data Service, Energinet) |
eia930_ba_load_weather |
EIA-930 balancing-authority demand with NASA POWER weather | Public domain (EIA); NASA POWER open data |
eia930_ba_solar_weather |
EIA-930 balancing-authority solar generation with NASA POWER weather | Public domain (EIA); NASA POWER open data |
eia930_ba_wind_weather |
EIA-930 balancing-authority wind generation with NASA POWER weather | Public domain (EIA); NASA POWER open data |
eia930_demand_da |
U.S. EIA Form EIA-930 Hourly Electric Grid Monitor, bulk file EBA.zip (UTC hourly series) | US government public domain |
eia930_subregion_load_weather |
EIA-930 sub-region demand with NASA POWER weather | Public domain (EIA); NASA POWER open data |
eirgrid_ireland_demand_wind |
EirGrid Smart Grid Dashboard (SYSTEM_DEMAND, WIND_ACTUAL, WIND_FCAST; ROI and NI) and SEMO reports BM-010 PUB_DailyLoadFcst and BM-013 PUB_4DayAggRollWindUnitFcst | EirGrid Group Open Data Licence (covers the dashboard and the SEMO reports) |
elia_load_dayahead |
Elia Open Data, ods001 'Measured and forecasted total load on the Belgian grid (Historical data)' | Elia Open Data Licence |
elia_wind_solar_dayahead |
Elia Open Data, ods031 (wind power production estimation and forecast, historical) and ods032 (photovoltaic power production estimation and forecast, historical) | Elia Open Data Licence |
enso_forecast_plume |
NOAA observed Niño 3.4 index with the IRI ENSO forecast probabilities of El Niño and La Niña | IRI ENSO Forecast Data CC BY 4.0; NOAA public domain |
eu_wind_farm_nwp |
Elexon BMRS (B1610 per-BM-unit metered output) + Open-Meteo Previous Runs (ECMWF IFS 0.25) | BMRS data licence (Elexon): use incl. commercial, with attribution; Open-Meteo / ECMWF CC BY 4.0 |
eurostat_flash_hicp |
Eurostat HICP: first-published data prc_hicp_fp (ECOICOP 1, to 2025-12) and prc_hicp_fpd (ECOICOP 2, 2026 on) flash/final, euro-indicator release pages, and prc_hicp_minr (current vintage) | Eurostat re-use policy: free re-use with attribution (Commission Decision 2011/833/EU; CC BY 4.0) |
fi_rail_timetable |
Fintraffic Digitraffic rail API: /api/v1/trains/{date} (final data) and /api/v1/trains/history/{date}/{train} (version histories), passenger trains | CC BY 4.0 (Digitraffic open data licence, as stated by Fintraffic) |
gb_gsp_solar_nwp |
Sheffield Solar PV_Live GSP generation + Open-Meteo Previous Runs API (ECMWF IFS 0.25) | PV_Live CC BY 4.0; NESO Open Data Licence; Open-Meteo / ECMWF CC BY 4.0 |
gb_unit_output_availability |
Elexon BMRS Insights API: UOU2T14D (2-14 day output usable by BM unit) and B1610 (actual generation output per generation unit) | BMRS data licence (Elexon): use incl. commercial, with attribution |
gb_wind_generation |
Elexon BMRS Insights API: WINDFOR (wind generation forecast, every publish) and FUELHH (WIND fuel type outturn) | BMRS data licence (Elexon): use incl. commercial, with attribution |
hai_setpoints |
HAI ICS security dataset (NSR / icsdataset), release HAI 22.04, normal training files train1-6 | CC BY-SA 4.0 |
hotel_bookings_otb64 |
Hotel booking demand datasets (two hotels in Portugal; Antonio, Almeida and Nunes 2019, Data in Brief) | CC BY 4.0 |
london_dtou_tariff |
UK Power Networks Low Carbon London: SmartMeter Energy Consumption Data in London Households (LCL-FullData.zip) + 2013 dToU schedule (Tariffs.xlsx) | CC BY 4.0 (London Datastore dataset licence field) |
mbta_planned_disruptions |
MBTA Open Data Portal, MBTA Gated Station Entries (ArcGIS 001c177f07594e7c99f193dde32284c9); scheduled trips from archived MBTA GTFS feeds | CC0 (MBTA gated station entries); MassDOT Developers License Agreement (GTFS) |
mlb_attendance_schedule |
Retrosheet game logs 2022-2025 and original regular-season schedules 2023-2026 (retrosheet.org), with MLB attendance | Retrosheet notice (https://www.retrosheet.org/notice.txt): free use incl. commercial, with the required statement |
neso_demand_dayahead |
NESO Data Portal: Day Ahead Half Hourly Demand Forecast Performance (1B), Embedded Wind and Solar Forecasts (archives), Historic Demand Data | NESO Open Data Licence |
nist_nzertf_house |
NIST Net-Zero Energy Residential Test Facility (NZERTF), instrumented hourly data Year 1 and Year 2 | US Government work (NIST; open and free) |
noaa_tide_predictions |
NOAA CO-OPS (Tides and Currents API: water_level, predictions) | US Government work, public domain (NOAA) |
nwm_streamflow_forecast |
USGS NWIS instantaneous discharge (00060) and NOAA National Water Model v3.1 medium-range forecast (member 1, 00Z) streamflow at the NWM route-link reach of each gauge | US Government work, public domain (NOAA NWM; USGS, provisional data statement) |
nyc_subway_events |
MTA Subway Hourly Ridership: Beginning 2025 (data.ny.gov 5wq4-mkjj), 12 station complexes; event schedules from Retrosheet and dated Wikipedia team-season revisions | OPEN-NY Terms of Use (MTA ridership); Retrosheet notice; CC BY-SA 4.0 (event dates from Wikipedia team-season articles) |
nyc_taxi_permitted_events |
NYC TLC trip records (yellow, green, FHVHV pickups per zone-hour) and NYC CECM Permitted Event Information - Historical (bkfu-528j) geocoded to taxi zones | NYC Open Data terms of use |
nz_node_price_schedule |
NZ Electricity Authority EMI datasets: WITS forecast price schedules (PRSL long, PRSS short) and final energy prices | CC BY 4.0 (EMI datasets) |
ons_brazil_load_forecast |
ONS (Operador Nacional do Sistema Eletrico, Brazil) Dados Abertos API: carga verificada and carga programada, half-hourly per subsystem | Creative Commons Attribution (ONS Dados Abertos) |
ons_brazil_load_weather |
ONS Brazil subsystem load with NASA POWER weather | CC-BY (ONS Dados Abertos); NASA POWER open data |
panasonic_battery_drive_cycles |
Panasonic 18650PF drive-cycle test data, P. Kollmeyer, UW-Madison (Mendeley Data wykht8y7tg v1), drive-cycle .mat files | CC BY 4.0 |
pvdaq_site_solar_weather |
NREL PVDAQ site output (DOE Solar Data Prize system 2107) with NASA POWER weather | CC-BY-4.0 (NREL/OEDI); NASA POWER open data |
rba_smp_forecasts |
RBA Statement on Monetary Policy forecast archive (smp-forecast-archive.xlsx, Nov 2018 - Aug 2026); targets from the ABS Data API (CPI, CPI_Q trimmed mean, LF unemployment rate) | CC BY 4.0 (Reserve Bank of Australia); ABS data CC BY 4.0 |
rfc_river_forecasts |
NWS River Forecast Centers RVF stage forecasts (IEM AFOS text archive) + USGS NWIS IV gauge height 00065 | US Government work, public domain (NWS; USGS, provisional data statement) |
rsv_hub_admissions |
CDC RSV Forecast Hub (NHSN target); hub ensemble model-output | CC0 / US public domain (CDC Forecast Hub) |
rte_france_load_j1 |
RTE eCO2mix national data via ODRE (opendatasoft): eco2mix-national-cons-def and eco2mix-national-tr | Licence Ouverte v2.0 (Etalab) |
sbb_rail_delays |
opentransportdata.swiss: Ist-Daten v2 (actual data per operating day) and GTFS FP2026 timetable releases | opentransportdata.swiss Terms of Use (open data; cite the source) |
seoul_metro_kbo |
Seoul Metro station gate counts (data.go.kr 15048032) with KBO game schedules at Jamsil Baseball Stadium from the Seoul sports-facility event list (data.seoul.go.kr OA-15497) | data.go.kr: no restriction on use (Seoul Metro); KOGL Type 1, source attribution (Seoul event list) |
stofs_water_level_forecast |
NOAA STOFS-2D-Global (AWS noaa-gestofs-pds) + NOAA CO-OPS water_level | US Government work, public domain (NOAA) |
surfrad_solar_hrrr |
NOAA GML SURFRAD and SOLRAD 1-minute radiation/meteorology files; NOAA HRRR DSWRF (AWS open data, via the hrrrzarr mirror, checked against GRIB2) | CC0 1.0 (SURFRAD/SOLRAD, NOAA GML); NOAA open data (HRRR) |
swpc_f107_45day |
NOAA SWPC 45-day forecast (NCEI archive) + GFZ Potsdam daily F10.7 (DRAO Penticton) | US Government work, public domain (NOAA SWPC); GFZ F10.7 CC BY 4.0 |
swpc_kp_forecast |
NOAA SWPC 3-day forecast (NCEI archive) + GFZ Potsdam Kp | US Government work, public domain (NOAA SWPC); GFZ Kp CC BY 4.0 |
tennessee_eastman_setpoints |
Extended Tennessee Eastman simulation database (Reinartz, Kulahci, Ravn 2021, DTU Data 10.11583/DTU.13385936.v1): SpVariation and ModeTransition runs | CC0 |
transit_scheduled_service |
BART (Bay Area Rapid Transit): hourly origin-destination ridership files and archived GTFS timetable versions | BART Developer License Agreement (ridership and GTFS) |
uk_roadworks_traffic |
National Highways WebTRIS traffic flow with National Highways planned roadworks (England) | Open Government Licence v3.0 |
us_ba_load_mos |
EIA-930 Hourly Electric Grid Monitor six-month BALANCE files + IEM GFS MOS (MAV) archive | US government public domain |
wikipedia_sports_fixtures |
Wikimedia pageviews + Wikipedia club season articles (as-of revisions); article list in articles.csv |
CC0 (pageviews) / CC BY-SA 4.0 (wikitext) |
wikipedia_tv_episodes |
Wikimedia pageviews + Wikipedia episode lists (as-of revisions); article list in articles.csv |
CC0 (pageviews) / CC BY-SA 4.0 (wikitext) |
Licence texts
The licences named above, with links to their texts:
- CC BY 4.0: https://creativecommons.org/licenses/by/4.0/legalcode
- CC BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/legalcode
- CC0 1.0: https://creativecommons.org/publicdomain/zero/1.0/legalcode
- ODbL 1.0: https://opendatacommons.org/licenses/odbl/1-0/
- ODC-By 1.0: https://opendatacommons.org/licenses/by/1-0/
- DL-DE-BY-2.0: https://www.govdata.de/dl-de/by-2-0
- OGL v3.0: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
- Licence Ouverte 2.0: https://www.etalab.gouv.fr/licence-ouverte-open-licence/
- KOGL Type 1: https://www.kogl.or.kr/info/licenseType1.do
- MIT: https://opensource.org/license/mit
- Apache-2.0: https://www.apache.org/licenses/LICENSE-2.0
Other terms (government open-data terms, AEMO, BMRS, Elia, EirGrid, NESO, OPEN-NY, NYC Open Data, BART, MassDOT, opentransportdata.swiss, Retrosheet) are linked from each dataset's source page.
Share-alike datasets
These folders are offered under the same licence as their source. Each holds a LICENSE.md with the
licence and a link to its text:
univariate/bdg-2: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/legalcode)univariate/museval-cgm: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/legalcode)univariate/nmt-eeg: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/legalcode)univariate/worldtrace: ODbL 1.0 (https://opendatacommons.org/licenses/odbl/1-0/)covariates/bcb_focus_inflation: ODbL 1.0 (https://opendatacommons.org/licenses/odbl/1-0/)covariates/hai_setpoints: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/legalcode)covariates/nyc_subway_events: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/legalcode)covariates/wikipedia_sports_fixtures: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/legalcode)covariates/wikipedia_tv_episodes: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/legalcode)
Share-alike applies to these folders and to adapted versions of them. The other datasets keep their own licences. Changes made to all of them: segmented, cleaned and filtered as described at the top.
Trained on, not redistributed
The released models were also trained on these public datasets, which are not in this dataset. They are credited here; their own licences and terms apply:
- LargeAQ
- Oikolab Weather Dataset
- EPA AirNow (data from state, local and tribal air agencies)
- Uber and Lyft Boston rideshare prices
- UCI Bike Sharing Dataset
- Hourly energy demand, generation and weather for Spain
- ENTSO-E Transparency Platform, as compiled in PriceFM
- UoMo mobile-traffic datasets TrafficNC / TrafficNJ / TrafficSD
- NN5 forecasting competition
- CIF 2016 forecasting competition dataset
- M1 forecasting competition
- Indian agricultural market (mandi) prices, Agmarknet
- Wikipedia web traffic, as extended in LOTSA
- Kaggle Web Traffic Time Series Forecasting competition (2017)
- MUSEval Wikipedia series
Attributions
Univariate datasets
- ERA5 (ECMWF / Copernicus Climate Change Service): "Contains modified Copernicus Climate Change Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains." Hersbach et al. (2020). WeatherBench / ClimateLearn regridding: CC BY 4.0, Rasp et al. (2020).
- US government works (no copyright in the US): GPM_MERGIR (NASA GES DISC), USHCN daily (NOAA NCEI), EIA Form 930 (U.S. Energy Information Administration), CDC FluView WHO/NREVSS and ILINet (CDC).
- NHANES 2011-2014 PAX80 (CDC / NCHS), with the NCHS data-use restrictions (https://www.cdc.gov/nchs/data_access/restrictions.htm), which apply to every user: "Use the data in this dataset for statistical reporting and analysis only. Make no attempt to learn the identity of any person or establishment included in these data. Not link this dataset with individually identifiable data from other NCHS or non-NCHS datasets. Not engage in any efforts to assess disclosure methodologies applied to protect individuals and establishments."
- Caltrans PeMS (PEMS03/04/07/08, PEMS-BAY, Traffic): data from Caltrans PeMS (pems.dot.ca.gov),
"considered in the public domain"; processing by ASTGCN, STSGCN, DCRNN and LSTNet. The
museval-traffic-pemsseries were obtained through Synthefy MUSEval. - AEMO (Monash Wind Farms, Wind Power, Solar Power, Australian Electricity Demand, Victoria electricity demand): "Source: Australian Energy Market Operator (AEMO); AEMO is the author of the original material." Monash Time Series Forecasting Archive, Godahewa et al. (2021), CC BY 4.0.
- CC BY 4.0 sources (creator, title, licence, changes made as above): M100 ExaData (CINECA; Borghesi et al.), Google cluster-usage traces 2011, Azure Public Dataset V1 (Microsoft), Residential Power and Battery Data (compiled by SwitchDin, made available through Monash University; Bergmeir et al. 2023), AURSAD (Leporowski et al.), NTU-Fi HumanID (Yang et al.), CESNET-TimeSeries24 (Koumar et al.), SmartMeter Energy Consumption Data in London Households and Low Carbon London (UK Power Networks, London Datastore), CAMELS-DE (Dolich et al. 2024), AJILE12 (Peterson et al. 2022; DANDI 000055), SubseasonalClimateUSA (Microsoft), UMass Smart* Home and SunDance, IDEAL Household Energy Dataset, ARPA-E PERFORM (NREL / OEDI), Batch Distillation Data (Arweiler et al.), FreshRetailNet-50K (Dingdong), EigenWorms and Worms (Open Worm Movement Database, Javer et al., Schafer lab; Yemini et al. 2013; UEA/UCR archive).
- Melbourne pedestrian counts: City of Melbourne, Pedestrian Counting System (CC BY 4.0), via the Monash Time Series Forecasting Archive (Godahewa et al. 2021, Zenodo 4656626).
- Project Tycho: Van Panhuis W., Cross A., Burke D., Project Tycho data release, Level 2 version 1.1.0, doi:10.5281/zenodo.12608994 (CC BY 4.0).
- UCI Machine Learning Repository (CC BY 4.0): Metro Interstate Traffic Volume (Hogue 2019, doi:10.24432/C5X60B; traffic counts from MnDOT; only the traffic volume is included) and Beijing PM2.5 Data (Chen 2015, doi:10.24432/C5JS49; only the PM2.5 series is included). The MUSEval copies were obtained through Synthefy MUSEval.
- CNC Mill Tool Wear: SMART lab, University of Michigan; published on Kaggle under CC0.
- NYPD complaint data (UrbanGPT NYC_CRIME): NYPD Complaint Data, NYC Open Data (City of New York), aggregated to grid cells by UrbanGPT (HKUDS, Apache-2.0).
- AJILE12, NMT Scalp EEG and Open D1NAMO hold recordings of people: make no attempt to identify any participant.
- BIDMC32HR: ODC-By 1.0 (PhysioNet; Pimentel et al. 2016; Goldberger et al. 2000).
- CausalRivers: Datenlizenz Deutschland - Namensnennung 2.0 (dl-de/by-2-0). "Datenquelle: TLUBN Thüringen, LHW Sachsen-Anhalt, LfULG Sachsen, LUNG M-V, SenMVKU Berlin, LfU Brandenburg, GDWS, LfU Bayern, dl-de/by-2-0."
- NYC TLC trip records (aggregated): NYC Taxi and Limousine Commission, NYC Open Data.
- MTA Daily Ridership: Metropolitan Transportation Authority, data.ny.gov (OPEN-NY Terms of Use).
- City of Chicago data (UrbanGPT CHI_taxi): "This site provides applications using data that has been modified for use from its original source, www.cityofchicago.org, the official website of the City of Chicago. The City of Chicago makes no claims as to the content, accuracy, timeliness, or completeness of any of the data provided at this site. The data provided at this site is subject to change at any time. It is understood that the data provided at this site is being used at one's own risk."
- City of Austin, Austin Water residential consumption: public domain; the City of Austin makes no warranty as to the data.
- 6-second load measurement dataset (Borealis): CC0. Zhou2016: CC0 (Zhou et al. 2016).
- TelecomTS (Maatouk et al.): MIT licence, as stated on its dataset card; the licence text is in
univariate/telecomts-real/LICENSE.md. - Wikimedia pageviews: Wikimedia Foundation, pageview dumps (CC0).
wiki-daily-100kwas obtained through the Chronos datasets (autogluon/chronos_datasets) andwiki-rolling-nipsthrough GluonTS (Apache-2.0). - WorldTrace / UniTraj (
univariate/worldtrace): "Contains information from WorldTrace (UniTraj), which is made available under the ODbL 1.0"; map matching uses data © OpenStreetMap contributors (https://www.openstreetmap.org/copyright). The folder is a derived database offered under the ODbL 1.0: the entire derived WorldTrace database the released models were trained on (844,593 series segments, 2,000,000,442 values), offered as ODbL s.4.6 asks. - NMT Scalp EEG (Khan et al. 2022;
univariate/nmt-eeg), Building Data Genome Project 2 (Miller et al. 2020;univariate/bdg-2) and Open D1NAMO (Dubosson et al. 2018;univariate/museval-cgm): CC BY-SA 4.0. Changes: as described at the top. The folders are offered under CC BY-SA 4.0. - Processed copies: some series were obtained through LOTSA (Salesforce), UTSD, OpenCity and the Chronos datasets, whose processing code and files carry Apache-2.0 notices; the data keep the original owners' terms given above.
Covariate collections
- NASA POWER (weather paired with energy targets): "These data were obtained from the NASA Langley Research Center POWER Project funded through the NASA Earth Science Directorate Applied Science Program."
- Open-Meteo / ECMWF (numerical weather prediction inputs): "Weather data by Open-Meteo.com (CC BY 4.0)". "Copyright 2026 European Centre for Medium-Range Weather Forecasts (ECMWF). Source: www.ecmwf.int. Licence: CC BY 4.0. ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use."
- US government works: EIA-930 (EIA), NWS MOS via the Iowa Environmental Mesonet archive, NOAA CPC, NOAA CO-OPS, NOAA STOFS, NOAA National Water Model, NWS River Forecast Centers with USGS gauges, NOAA SWPC, NOAA SURFRAD / SOLRAD and HRRR (NOAA GML, NOAA/NCEP), BTS, NIST NZERTF, CDC COVID-19 and RSV Forecast Hubs (the hubs ask users to contact covidhub@cdc.gov and rsvhub@cdc.gov about attribution; targets from NHSN).
- AEMO (solar and wind farm forecasts; WEM load and load forecasts): "Source: Australian Energy Market Operator (AEMO)."
- Elexon BMRS: "Contains BMRS data © Elexon Limited copyright and database right 2026."
- NESO: "Supported by National Energy SO Open Data." Sheffield Solar: "PV_Live by Sheffield Solar is licensed under CC BY 4.0."
- EirGrid: "Supported by EirGrid Group Data." Elia: "Source: Elia Open Data." Energinet: "Source: Energinet (www.energidataservice.dk)", CC BY 4.0.
- RTE: Licence Ouverte 2.0, "Source: RTE, eCO2mix (via ODRE)".
- ONS Brazil: "Fonte: Operador Nacional do Sistema Elétrico (ONS), dados.ons.org.br" (CC BY).
- NREL PVDAQ (DOE Solar Data Prize system 2107): CC BY 4.0, NREL / OEDI.
- NZ Electricity Authority EMI: CC BY 4.0, "Source: Electricity Authority, emi.ea.govt.nz".
- Eurostat: CC BY 4.0, "Source: Eurostat". Reserve Bank of Australia: CC BY 4.0, "Source: Reserve Bank of Australia"; Australian Bureau of Statistics: CC BY 4.0.
- Banco Central do Brasil Focus survey and SGS series (
covariates/bcb_focus_inflation): "Fonte: Banco Central do Brasil, Sistema de Expectativas de Mercado"; contains information from the BCB open data portal, which is made available under the ODbL 1.0. The targets are SGS series published by the Banco Central do Brasil (Departamento Econômico), computed from IBGE's IPCA. The folder is a derived database offered under the ODbL 1.0. The models also trained on an IGP-M series (FGV's index, with its Focus expectations), which is not in this dataset; for that part, ODbL s.4.6(b) is met by the method: the Focus expectations come from the BCB Olinda OData service (ExpectativaMercadoMensais, baseCalculo 0) and the target from SGS series 189, cleaned and aligned as described at the top. - EEA / CAMS: "Source: European Environment Agency" (CC BY 4.0); "Generated using Copernicus Atmosphere Monitoring Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains."
- GFZ Potsdam Kp and F10.7: CC BY 4.0 (Matzka et al. 2021).
- Low Carbon London dynamic time-of-use tariff: CC BY 4.0 (UK Power Networks, London Datastore).
- MTA subway (OPEN-NY Terms of Use); NYC TLC trip records and NYC Street Activity Permit Office
events (NYC Open Data). The NBA, NHL and WNBA event dates in
covariates/nyc_subway_eventscome from dated revisions of the English Wikipedia team-season articles of the Knicks, Rangers, Nets and Liberty (Wikipedia contributors, CC BY-SA 4.0), listed per station in the folder'sarticles.csv; the MLB dates come from Retrosheet. Changes: dates and start times turned into hourly 0/1 flags. The folder is offered under CC BY-SA 4.0 for its Wikipedia-derived part; the MTA and Retrosheet parts keep their own terms. - MBTA: open data; GTFS under the MassDOT Developers License Agreement (MassDOT acknowledged; no endorsement implied). BART: BART Developer License Agreement; no endorsement implied.
- Fintraffic: "Source: Fintraffic / digitraffic.fi, license CC 4.0 BY". opentransportdata.swiss: source opentransportdata.swiss.
- Retrosheet (event schedules): "The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at www.retrosheet.org."
- Wikipedia club-season and episode-list articles (
covariates/wikipedia_sports_fixtures,covariates/wikipedia_tv_episodes): match and air dates from Wikipedia articles by Wikipedia contributors, CC BY-SA 4.0. Each folder'sarticles.csvmaps every series to the article whose pageviews are its target and to the series' standard schedule pages (the club's season articles; the show's article, episode list and, for some shows, season articles). The build read dated revisions of these pages, as of each forecast moment. Seven clubs have no schedule pages listed, so their covariates are empty. Pageviews: Wikimedia Foundation (CC0). Changes: dates extracted into daily 0/1 flags. The folders are offered under CC BY-SA 4.0. - HAI industrial control system dataset (
covariates/hai_setpoints): National Security Research Institute (NSR), Republic of Korea, HAI 22.04 (Shin et al.; https://github.com/icsdataset/hai), CC BY-SA 4.0. Changes: as described at the top. The folder is offered under CC BY-SA 4.0. - Extended Tennessee Eastman simulation data: CC0 (Reinartz, Kulahci, Ravn 2021, DTU).
- National Highways WebTRIS traffic flow and planned roadworks: "Contains public sector information licensed under the Open Government Licence v3.0."
- IRI ENSO forecast plume: "ENSO Forecast Data © 2002-2026 by International Research Institute for Climate and Society, licensed under CC BY 4.0"; observed Niño 3.4 index from NOAA.
- Hotel booking demand: Antonio, Almeida and Nunes (2019), Data in Brief 22, doi:10.1016/j.dib.2018.11.126 (CC BY 4.0).
- Seoul Metro gate counts: Seoul Metro (서울교통공사), data.go.kr dataset 15048032.
- Seoul sports-facility event list (KBO game schedules in
covariates/seoul_metro_kbo): "서울시 체육시설 공연행사 정보" by the Seoul Metropolitan Government (서울특별시), Seoul Open Data Plaza dataset OA-15497 (https://data.seoul.go.kr/dataList/OA-15497/S/1/datasetView.do), licensed under KOGL Type 1 (Korea Open Government License, source attribution). Changes: the Jamsil Baseball Stadium game entries turned into hourly game flags. - Li-ion battery drive cycles, LG 18650HG2 and Panasonic 18650PF: CC BY 4.0 (Kollmeyer et al., Mendeley Data).