Publish version 1.0 via wildintel-publisher

.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+additional_info/lists/DNP_DS_annotations.csv filter=lfs diff=lfs merge=lfs -text
+additional_info/lists/DNP_DS_public.csv filter=lfs diff=lfs merge=lfs -text

CITATION.cff

@@ -0,0 +1,69 @@
+cff-version: 1.2.0
+title: Doñana National Park Dataset (DNP_DS)
+message: If you use this dataset, please cite it as below.
+type: dataset
+authors:
+- name: Javier Calzada Samperio
+  affiliation: Departamento de Ciencias Integradas y Centro de Estudios Avanzados
+    en Física, Matemáticas y Computación, Facultad de Ciencias Experimentales, Universidad
+    de Huelva, Huelva, 21071, Spain
+- name: Santiago Gutiérrez-Zapata
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain
+- name: Simone Santoro
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain; Department of Natural Sciences and Environmental
+    Health, University of South-Eastern Norway, Bø, Norway
+- name: Manuel E. Gegundez-Arias
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain; Science and Technology Research Centre, Universidad
+    de Huelva, Huelva, Spain
+- name: Iñaki Fernández de Viana
+  affiliation: Department Information Technologies, University of Huelva, 21007 Huelva,
+    Spain
+- name: Lenka Straková
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain
+- name: Agata Kaczówka
+  affiliation: Institute of Nature Conservation, Polish Academy of Sciences, al. Adama
+    Mickiewicza 33, 31-120 Kraków, Poland
+version: '1.0'
+date-released: '2026-11-03'
+license: CC-BY-NC-4.0
+repository-code: https://github.com/wildintelproject/wildintel-publisher
+preferred-citation:
+  type: dataset
+  title: Doñana National Park Dataset (DNP_DS)
+  authors:
+  - name: Javier Calzada Samperio
+    affiliation: Departamento de Ciencias Integradas y Centro de Estudios Avanzados
+      en Física, Matemáticas y Computación, Facultad de Ciencias Experimentales, Universidad
+      de Huelva, Huelva, 21071, Spain
+  - name: Santiago Gutiérrez-Zapata
+    affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+      University of Huelva, Huelva, Spain
+  - name: Simone Santoro
+    affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+      University of Huelva, Huelva, Spain; Department of Natural Sciences and Environmental
+      Health, University of South-Eastern Norway, Bø, Norway
+  - name: Manuel E. Gegundez-Arias
+    affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+      University of Huelva, Huelva, Spain; Science and Technology Research Centre,
+      Universidad de Huelva, Huelva, Spain
+  - name: Iñaki Fernández de Viana
+    affiliation: Department Information Technologies, University of Huelva, 21007
+      Huelva, Spain
+  - name: Lenka Straková
+    affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+      University of Huelva, Huelva, Spain
+  - name: Agata Kaczówka
+    affiliation: Institute of Nature Conservation, Polish Academy of Sciences, al.
+      Adama Mickiewicza 33, 31-120 Kraków, Poland
+  version: '1.0'
+  date-released: '2026-11-03'
+  publisher:
+    name: University of Huelva
+    website: https://www.uhu.es/
+  copyright: © 2026 University of Huelva
+doi: 10.5281/zenodo.23917216
+url: https://huggingface.co/datasets/wildintelproject/donadataset

LICENSE

@@ -0,0 +1,6 @@
+Creative Commons Attribution-NonCommercial 4.0 International
+
+License identifier: CC-BY-NC-4.0
+License URL: https://creativecommons.org/licenses/by-nc/4.0/
+
+This file is a short license notice for the dataset. Please review the full license text at the URL above.

README.md

@@ -0,0 +1,133 @@
+---
+license: cc-by-nc-4.0
+pretty_name: "Do\u00f1ana National Park Dataset (DNP_DS)"
+task_categories:
+  - object-detection
+size_categories:
+  - 10K<n<100K
+tags:
+  - wildlife
+  - camera-trap
+  - yolo
+---
+
+# Doñana National Park Dataset (DNP_DS)
+
+![License](https://img.shields.io/badge/license-CC--BY--NC--4.0-blue.svg)
+[![WildINTEL](https://img.shields.io/badge/WildINTEL-project-blue)](https://wildintel.eu/)
+
+Version: `1.0`
+
+Camera-trap images from Doñana National Park (Spain) annotated with bounding boxes for object detection in YOLO format. It contains 33,914 images split into train, val and test, with 38,492 annotated objects of 15 animal categories (plus empty images): mammals identified to species or genus (e.g. Cervus elaphus, Dama dama, Sus scrofa, Vulpes vulpes, Lynx pardinus, Meles meles, Oryctolagus cuniculus), domestic animals (Bos taurus, Canis familiaris, Felis catus, Equus sp) and a general bird category (Ave). It is meant for training and evaluating wildlife detection models.
+
+## Dataset format
+
+This dataset is distributed in [YOLO](https://docs.ultralytics.com/datasets/) training format:
+image files split into `train`/`val`/`test` sets, described by a `data.yaml` config.
+
+It has 18 classes: Ave, Felis catus, Bos taurus, Canis familiaris, Herpestes ichneumon, Meles meles, Oryctolagus cuniculus, Dama dama, Genetta genetta, Equus sp, Homo sapiens, Lepus granatensis, Lynx pardinus, Cervus elaphus, Vulpes vulpes, Sus scrofa, Vehicle, Empty.
+
+```text
+.
+├── data.yaml             ← YOLO dataset config (splits, classes)
+├── images/
+│   ├── train/            ← training images
+│   ├── val/               ← validation images
+│   └── test/              ← test images (if present)
+├── labels/                ← training labels (if present in the source dataset)
+│   ├── train/
+│   ├── val/
+│   └── test/
+├── checksums-sha256.txt
+├── CITATION.cff
+└── LICENSE
+```
+
+The train split is too large
+for a single Hugging Face Hub folder (10,000 files at most), so its images and labels are
+spread over hash-named subfolders (e.g. `images/train/3f/img.jpg` with its label at
+`labels/train/3f/img.txt`). YOLO trainers find them just the same: they look for images
+recursively under each split's folder.
+
+
+## Dataset statistics
+
+| Split | Images | Labeled images | Objects |
+|---|---:|---:|---:|
+| train | 27467 | 27467 | 31962 |
+| val | 3264 | 3264 | 3133 |
+| test | 3183 | 3183 | 3397 |
+
+| Class | Objects |
+|---|---:|
+| Ave | 2559 |
+| Felis catus | 8 |
+| Bos taurus | 6001 |
+| Canis familiaris | 373 |
+| Herpestes ichneumon | 844 |
+| Meles meles | 2480 |
+| Oryctolagus cuniculus | 1189 |
+| Dama dama | 3862 |
+| Genetta genetta | 398 |
+| Equus sp | 7352 |
+| Homo sapiens | 0 |
+| Lepus granatensis | 1689 |
+| Lynx pardinus | 28 |
+| Cervus elaphus | 4521 |
+| Vulpes vulpes | 3068 |
+| Sus scrofa | 4120 |
+| Vehicle | 0 |
+| Empty | 0 |
+
+## Integrity verification
+
+`checksums-sha256.txt` lists the SHA-256 hash of every file in this export, to verify
+nothing was corrupted or truncated after downloading.
+
+## Source
+
+Generated via [wildintel-publisher](https://github.com/wildintelproject/wildintel-publisher).
+
+## Funding
+
+This work is part of the [WildINTEL project](https://wildintel.eu/), funded by the
+[Biodiversa+](https://www.biodiversa.eu/) Joint Research Call 2022-2023
+"Improved transnational monitoring of biodiversity and ecosystem change for science and society
+(BiodivMon)". Biodiversa+ is the European co-funded biodiversity partnership supporting excellent
+research on biodiversity with an impact for policy and society. Biodiversa+ is part of the European
+Biodiversity Strategy for 2030 that aims to put Europe's biodiversity on a path to recovery by 2030
+and is co-funded by the European Commission.
+
+WildINTEL has been co-funded by the [European Commission](https://commission.europa.eu/) (GA No.
+101052342) and the following funding organisations: [Agencia Estatal de Investigación](https://www.aei.gob.es/)
+(Spain, PCI2023-145963-2, PCI2024-153489), [National Science Centre](https://www.ncn.gov.pl/?language=en)
+(Poland, UMO-2023/05/Y/NZ8/00104), the [Research Council of Norway](https://www.forskningsradet.no/en/)
+(Norway, NFR350962) and the [German Research Foundation](https://www.dfg.de/en/) (Germany).
+
+Additional support was provided by Fundación Biodiversidad, Ministerio para la Transición Ecológica y el Reto Demográfico, Project AI-CENSUS and the Programa Operativo FEDER Andalucía 2014–2020, Project UHU-202028.
+## Acknowledgements
+
+We thank everyone who took part in the fieldwork, image collection and annotation behind this
+dataset, and the [WildINTEL project](https://wildintel.eu/) partners for their support.
+
+The authors acknowledge the University of Huelva for providing the computational infrastructure and technical resources used in this study. We also acknowledge the contributions of the WildINTEL consortium and the Biodiversa+ partnership, which provided the collaborative framework within which this research was conducted. The authors gratefully acknowledge Sara Beery and the contributors to the Caltech Camera Traps (CCT) dataset for making this valuable resource publicly available. Images from the Caltech Camera Traps dataset were used as part of the training data for model development; these images are not redistributed as part of the dataset accompanying this study.
+
+## License
+
+This dataset is released under: `CC-BY-NC-4.0`. See the `LICENSE` file for the full text.
+
+## Citation
+
+To cite this dataset:
+
+> Javier Calzada Samperio, Santiago Gutiérrez-Zapata, Simone Santoro, Manuel E. Gegundez-Arias, Iñaki Fernández de Viana, Lenka Straková, & Agata Kaczówka (2026). *Doñana National Park Dataset (DNP_DS)* (Version 1.0) [Data set]. University of Huelva. https://zenodo.org/record/23917216 © 2026 University of Huelva
+
+This citation was generated from the [`CITATION.cff`](CITATION.cff) file. See
+[About CITATION files](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files)
+for more info.
+
+## Limitations and ethical considerations
+
+Before using this dataset, users should review possible limitations related to class
+imbalance, annotation quality, environmental bias, and any privacy or sensitive
+information the images may contain.

additional_info/README.md

@@ -0,0 +1,83 @@
+# Additional information
+
+Supporting material for the Doñana National Park Dataset (DNP_DS). None of it is needed to use
+the dataset itself (`images/`, `labels/` and `data.yaml`); it documents what the dataset contains
+and which annotations were left out of it.
+
+## Contents
+
+```
+additional_info/
+├── for_publishing/
+│   └── DNP_DS_statistics.docx
+├── lists/
+│   ├── DNP_DS_annotations.csv
+│   ├── DNP_DS_public.csv
+│   └── DNP_DS_not_public.csv
+└── statistics/
+    └── statistics_published/
+        ├── statistics.csv
+        ├── Labels_bbxs.png
+        └── Labels_images.png
+```
+
+### `for_publishing/`
+
+- `DNP_DS_statistics.docx`: description of how the dataset is composed and tables with the number of
+  images and bounding boxes of each category, in total and per split (train / val / test), for the
+  complete dataset used in the associated study (Table 1), the publicly available subset released
+  here (Table 2) and the restricted subset left out of the release (Table 3).
+
+### `lists/`
+
+One row per annotated bounding box.
+
+| File | Rows | Images | Content |
+|---|---:|---:|---|
+| `DNP_DS_public.csv` | 46,427 | 33,914 | The annotations that are part of the published dataset (the same ones as in `labels/`). |
+| `DNP_DS_not_public.csv` | 21,608 | 17,960 | The annotations of images that are **not** part of the published dataset. |
+| `DNP_DS_annotations.csv` | 68,035 | 51,874 | Every annotation: the two files above together. |
+
+Each image is in exactly one of `DNP_DS_public.csv` and `DNP_DS_not_public.csv`. Images without
+any animal are listed with the class `Empty`.
+
+Columns (the same in the three files):
+
+| Column | Meaning |
+|---|---|
+| `file_name` | Label file the box belongs to (`<image name>.txt`). |
+| `group` | Split: `train`, `val` or `test`. |
+| `label` | Class id, as in `data.yaml`. |
+| `bbox_x_center`, `bbox_y_center`, `bbox_width`, `bbox_height` | Bounding box in YOLO format (normalized to 0–1). |
+| `category` | Class name (the `names` entry of `data.yaml` for `label`). |
+| `path` | Location of the image, relative to the dataset's root: `images/<split>/<image name>`, without extension. |
+| `source_dataset` | Where the image comes from: `WildINTEL`, `WildINTEL - Private contributions` or `Caltech Camera Traps`. |
+| `source_repository`, `source_dataset_url` | Repository and URL of the source, when it has one. |
+| `source_type` | Kind of source: project data, private research contribution or public external dataset. |
+| `contributor` | Who contributed the image. |
+| `rights_holder` | Holder of the rights on the image, when known. |
+| `original_file_name`, `original_image_id` | Identifiers in the source dataset, when they exist. |
+| `usage_permission` | Terms under which the image can be used. |
+| `redistribution_allowed` | Whether the image can be redistributed, and under which conditions. |
+
+The images in `DNP_DS_public.csv` are all released under CC BY-NC 4.0 (attribution required,
+non-commercial use only) by the University of Huelva. The images in `DNP_DS_not_public.csv` were
+left out of the dataset because they cannot be redistributed or because their redistribution has
+not been assessed:
+
+| Source | Rows | Redistribution |
+|---|---:|---|
+| Private research contributions | 15,058 | No |
+| Caltech Camera Traps (LILA Science) | 2,064 | See the source dataset's license |
+| WildINTEL project data | 4,486 | Not assessed, excluded from this release |
+
+### `statistics/`
+
+`statistics_published/` has the counts of the published dataset, as CSV and as plots:
+
+- `statistics.csv`: per category, the number of bounding boxes and of images, in total and in
+  `train`, `val` and `test`.
+  Images are counted once per category they contain, so the per-category image counts are not
+  additive. `Empty` images have no bounding boxes.
+- `Labels_bbxs.png`: number of bounding boxes per category.
+- `Labels_images.png`: number of images per category.

additional_info/lists/DNP_DS_annotations.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56b084e86b63078571f209e27133ab5166f7bf1a51a88f15ff69af9e2438ffe7
+size 26664344

additional_info/lists/DNP_DS_public.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6fcd23ba21ab43b2af1ce586866c1db631b4f92494d14727c1c812349437749
+size 20813753

additional_info/statistics/statistics_published/statistics.csv

@@ -0,0 +1,17 @@
+category,total_num_bboxes,total_num_images,test_num_bboxes,train_num_bboxes,val_num_bboxes,test_num_images,train_num_images,val_num_images
+Ave,2559,1690,237,2027,295,188,1311,191
+Bos taurus,6001,3000,457,5156,388,300,2479,221
+Canis familiaris,373,296,26,307,40,24,243,29
+Cervus elaphus,4521,3029,479,3769,273,305,2519,205
+Dama dama,3862,2998,336,3115,411,227,2476,295
+Empty,0,7935,0,0,0,1036,5877,1022
+Equus sp,7352,3102,873,5877,602,303,2496,303
+Felis catus,8,8,3,4,1,3,4,1
+Genetta genetta,398,380,16,354,28,15,337,28
+Herpestes ichneumon,844,647,83,707,54,65,539,43
+Lepus granatensis,1689,1616,80,1514,95,78,1446,92
+Lynx pardinus,28,26,2,24,2,2,22,2
+Meles meles,2480,2417,133,2124,223,133,2061,223
+Oryctolagus cuniculus,1189,1080,86,1019,84,80,927,73
+Sus scrofa,4120,3035,387,3373,360,249,2498,288
+Vulpes vulpes,3068,2925,199,2592,277,198,2452,275

data.yaml

@@ -0,0 +1,79 @@
+train: images/train
+val: images/val
+test: images/test
+nc: 18
+names:
+  0: Ave
+  1: Felis catus
+  2: Bos taurus
+  3: Canis familiaris
+  4: Herpestes ichneumon
+  5: Meles meles
+  6: Oryctolagus cuniculus
+  7: Dama dama
+  8: Genetta genetta
+  9: Equus sp
+  10: Homo sapiens
+  11: Lepus granatensis
+  12: Lynx pardinus
+  13: Cervus elaphus
+  14: Vulpes vulpes
+  15: Sus scrofa
+  16: Vehicle
+  17: Empty
+title: Doñana National Park Dataset (DNP_DS)
+description: 'Camera-trap images from Doñana National Park (Spain) annotated with
+  bounding boxes for object detection in YOLO format. It contains 33,914 images split
+  into train, val and test, with 38,492 annotated objects of 15 animal categories
+  (plus empty images): mammals identified to species or genus (e.g. Cervus elaphus,
+  Dama dama, Sus scrofa, Vulpes vulpes, Lynx pardinus, Meles meles, Oryctolagus cuniculus),
+  domestic animals (Bos taurus, Canis familiaris, Felis catus, Equus sp) and a general
+  bird category (Ave). It is meant for training and evaluating wildlife detection
+  models.'
+version: '1.0'
+license:
+  id: CC-BY-NC-4.0
+  name: Creative Commons Attribution-NonCommercial 4.0 International
+  url: https://creativecommons.org/licenses/by-nc/4.0/
+authors:
+- name: Javier Calzada Samperio
+  affiliation: Departamento de Ciencias Integradas y Centro de Estudios Avanzados
+    en Física, Matemáticas y Computación, Facultad de Ciencias Experimentales, Universidad
+    de Huelva, Huelva, 21071, Spain
+- name: Santiago Gutiérrez-Zapata
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain
+- name: Simone Santoro
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain; Department of Natural Sciences and Environmental
+    Health, University of South-Eastern Norway, Bø, Norway
+- name: Manuel E. Gegundez-Arias
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain; Science and Technology Research Centre, Universidad
+    de Huelva, Huelva, Spain
+- name: Iñaki Fernández de Viana
+  affiliation: Department Information Technologies, University of Huelva, 21007 Huelva,
+    Spain
+- name: Lenka Straková
+  affiliation: Department of Integrated Sciences, Faculty of Experimental Sciences,
+    University of Huelva, Huelva, Spain
+- name: Agata Kaczówka
+  affiliation: Institute of Nature Conservation, Polish Academy of Sciences, al. Adama
+    Mickiewicza 33, 31-120 Kraków, Poland
+publisher:
+  name: University of Huelva
+  website: https://www.uhu.es/
+copyright_holders:
+- University of Huelva
+funding: Additional support was provided by Fundación Biodiversidad, Ministerio para
+  la Transición Ecológica y el Reto Demográfico, Project AI-CENSUS and the Programa
+  Operativo FEDER Andalucía 2014–2020, Project UHU-202028.
+acknowledgements: The authors acknowledge the University of Huelva for providing the
+  computational infrastructure and technical resources used in this study. We also
+  acknowledge the contributions of the WildINTEL consortium and the Biodiversa+ partnership,
+  which provided the collaborative framework within which this research was conducted.
+  The authors gratefully acknowledge Sara Beery and the contributors to the Caltech
+  Camera Traps (CCT) dataset for making this valuable resource publicly available.
+  Images from the Caltech Camera Traps dataset were used as part of the training data
+  for model development; these images are not redistributed as part of the dataset
+  accompanying this study.