cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.37vter
title: Occurrence Download

description: A dataset containing 55740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sagittarius serpentarius)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 55740 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028634-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16317040
title: PaintUnicorn: Multi-view video datset

description: PaintUnicorn: Real-World Multiview Dynamic Scene Dataset


**PaintUnicorn** is a real-world multiview video dataset captured with 28 synchronized rolling shutter cameras arranged on a semicircular rig with 4 vertical layers. It is designed for benchmarking neural rendering, dynamic view synthesis, and 4D reconstruction methods under real-world conditions.


---


 License


Creative Commons Attribution 4.0 International (CC BY 4.0)


---


Terms of Use


If you use this dataset in any publication or project, please cite the following:


@misc{PaintUnicorn_2025,

  title     = {PaintUnicorn: Multi-view video datset},

  author    = {Eva Dubar and Daniele Bonatto and Sarah Dury and Gauthier Lafruit},

  year      = {2025},

  doi       = {10.5281/zenodo.16312255},

  publisher = {Zenodo}

}


Production:


Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.


Dataset Overview

This dataset captures dynamic scenes with a wide range of real-world artifacts:


- Non-Lambertian surfaces and specular highlights


- Moving human subject, hair, clothes, transparent and reflective objects


- Depth maps with geometric noise due to challenging materials


These characteristics make PaintUnicorn a robust benchmark for methods that aim to handle realistic scenarios, moving beyond controlled synthetic settings.


Content:


In addition to the images and their depth maps, an accurate camera calibration file is provided following the format of [2].


The dataset contains:


- a `camera.json` Camera intrinsics and extrinsics in OMAF coordinates (X: forward, Y: left, Z: up) [3]

- a `yuv_unprocessed.zip` Undistorted and color-corrected frames, cropped for spatial consistency

- a `yuv_processed.zip` Raw frames from all 28 cameras (distorted, uncorrected)

- `depth.zip` Per-frame depth maps (hybrid from COLMAP and DepthPro refinement) in RVS format [1]

- `cameras.txt`, `images.txt` from COLMAP reconstruction

- `poses_bounds.np` LLFF-style camera poses and scene bounds


 References and links:


[1] D. Bonatto, S. Fachada, S. Rogge, A. Munteanu and G. Lafruit, "Real-Time Depth Video-Based Rendering for 6-DoF HMD Navigation and Light Field Displays," in IEEE Access, vol. 9, pp. 146868-146887, 2021, doi: 10.1109/ACCESS.2021.3123529.

[2] S. Fachada, B. Kroon, D. Bonatto, B. Sonneveldt, et G. Lafruit, "Reference View Synthesizer (RVS) 2.0 manual, [N17759]", july. 2018.

[3] S. Fachada, D. Bonatto, M. Teratani, and G. Lafruit, "Intechopen - View Synthesis tool for VR Immersive Video", 2022.
DOI: 10.5281/zenodo.16312255
title: PaintUnicorn: Multi-view video datset

description: PaintUnicorn: Real-World Multiview Dynamic Scene Dataset


**PaintUnicorn** is a real-world multiview video dataset captured with 28 synchronized rolling shutter cameras arranged on a semicircular rig with 4 vertical layers. It is designed for benchmarking neural rendering, dynamic view synthesis, and 4D reconstruction methods under real-world conditions.


---


 License


Creative Commons Attribution 4.0 International (CC BY 4.0)


---


Terms of Use


If you use this dataset in any publication or project, please cite the following:


@misc{PaintUnicorn_2025,

  title     = {PaintUnicorn: Multi-view video datset},

  author    = {Eva Dubar and Daniele Bonatto and Sarah Dury and Gauthier Lafruit},

  year      = {2025},

  doi       = {10.5281/zenodo.16312255},

  publisher = {Zenodo}

}


Production:


Laboratory of Image Synthesis and Analysis, LISA department, Ecole Polytechnique de Bruxelles, Universite Libre de Bruxelles, Belgium.


Dataset Overview

This dataset captures dynamic scenes with a wide range of real-world artifacts:


- Non-Lambertian surfaces and specular highlights


- Moving human subject, hair, clothes, transparent and reflective objects


- Depth maps with geometric noise due to challenging materials


These characteristics make PaintUnicorn a robust benchmark for methods that aim to handle realistic scenarios, moving beyond controlled synthetic settings.


Content:


In addition to the images and their depth maps, an accurate camera calibration file is provided following the format of [2].


The dataset contains:


- a `camera.json` Camera intrinsics and extrinsics in OMAF coordinates (X: forward, Y: left, Z: up) [3]

- a `yuv_unprocessed.zip` Undistorted and color-corrected frames, cropped for spatial consistency

- a `yuv_processed.zip` Raw frames from all 28 cameras (distorted, uncorrected)

- `depth.zip` Per-frame depth maps (hybrid from COLMAP and DepthPro refinement) in RVS format [1]

- `cameras.txt`, `images.txt` from COLMAP reconstruction

- `poses_bounds.np` LLFF-style camera poses and scene bounds


 References and links:


[1] D. Bonatto, S. Fachada, S. Rogge, A. Munteanu and G. Lafruit, "Real-Time Depth Video-Based Rendering for 6-DoF HMD Navigation and Light Field Displays," in IEEE Access, vol. 9, pp. 146868-146887, 2021, doi: 10.1109/ACCESS.2021.3123529.

[2] S. Fachada, B. Kroon, D. Bonatto, B. Sonneveldt, et G. Lafruit, "Reference View Synthesizer (RVS) 2.0 manual, [N17759]", july. 2018.

[3] S. Fachada, D. Bonatto, M. Teratani, and G. Lafruit, "Intechopen - View Synthesis tool for VR Immersive Video", 2022.
DOI: 10.15468/dl.w49s26
title: Occurrence Download

description: A dataset containing 16625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artemisia verlotiorum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16625 records from 438 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028672-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ernzn5
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chondrilla juncea",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028669-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecy7hz
title: Occurrence Download

description: A dataset containing 1827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artemisia verlotiorum",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1827 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028673-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16321409
title: CHAZ-ERA5

description: CHAZ-ERA5 data at the North Atlantic.
DOI: 10.5281/zenodo.16321410
title: CHAZ-ERA5

description: CHAZ-ERA5 data at the North Atlantic.
DOI: 10.15468/dl.htgadp
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton ruizianus"
 ]
}

 The dataset includes 206 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028676-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48436/kd962-hym06
title: LongEval 2025 CORE Retrieval Train Collection

description:  



This dataset serves as the official training data for the 2025 LongEval Information Retrieval Lab (https://clef-longeval.github.io/), organized at CLEF.


This collection consists of queries and documents extracted from the CORE scholarly literature search engine (https://core.ac.uk/). The queries in this collection were issued by CORE users, and a specific pipeline was designed to capture user queries, their corresponding search results, and user interactions. Using this pipeline, the dataset for this task was extracted, consisting of two main components: 






Search Information: unique, anonymous identifiers for individual user sessions, search queries, and the returned results. 

Click Information: unique, anonymous identifiers for individual user sessions, the links clicked within the results list, and the positions of the clicked links. 





The documents in the collection were selected based on the search results of user queries. In addition to these selected documents, the collection also contains randomly chosen documents from the CORE index. 




The training data were collected from November to December 2024.

In total, the collection comprises 393 training queries with 4262 relevance assessments derived from a click model. The document set consists of 2014265 downloaded, cleaned, and filtered scholarly articles.
DOI: 10.48436/r643n-yc044
title: LongEval 2025 CORE Retrieval Train Collection

description:  



This dataset serves as the official training data for the 2025 LongEval Information Retrieval Lab (https://clef-longeval.github.io/), organized at CLEF.


This collection consists of queries and documents extracted from the CORE scholarly literature search engine (https://core.ac.uk/). The queries in this collection were issued by CORE users, and a specific pipeline was designed to capture user queries, their corresponding search results, and user interactions. Using this pipeline, the dataset for this task was extracted, consisting of two main components: 






Search Information: unique, anonymous identifiers for individual user sessions, search queries, and the returned results. 

Click Information: unique, anonymous identifiers for individual user sessions, the links clicked within the results list, and the positions of the clicked links. 





The documents in the collection were selected based on the search results of user queries. In addition to these selected documents, the collection also contains randomly chosen documents from the CORE index. 




The training data were collected from November to December 2024.

In total, the collection comprises 393 training queries with 4262 relevance assessments derived from a click model. The document set consists of 2014265 downloaded, cleaned, and filtered scholarly articles.
DOI: 10.15468/dl.47yv78
title: Occurrence Download

description: A dataset containing 7259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campostoma oligolepis"
 ]
}

 The dataset includes 7259 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028674-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7v94gn
title: Occurrence Download

description: A dataset containing 1550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen, Material sample)",
 "Country is one of (Colombia, Panama, Venezuela (Bolivarian Republic of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoblepharis sanctaemartae"
 ]
}

 The dataset includes 1550 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028675-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134489
title: Supplementary files package - A Total Evidence phylogenetic analysis of the spider family Linyphiidae (Araneae, Araneoidea)

description: All matrices, gene alignments and trees used in Silva-Moreira et al. "A Total Evidence phylogenetic analysis of the spider family Linyphiidae (Araneae, Araneoidea)"
DOI: 10.5281/zenodo.13134490
title: Supplementary files package - A Total Evidence phylogenetic analysis of the spider family Linyphiidae (Araneae, Araneoidea)

description: All matrices, gene alignments and trees used in Silva-Moreira et al. "A Total Evidence phylogenetic analysis of the spider family Linyphiidae (Araneae, Araneoidea)"
DOI: 10.15468/dl.h3jcfj
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton subpannosus"
 ]
}

 The dataset includes 517 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028677-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxdv33
title: Occurrence Download

description: A dataset containing 631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardamine obliqua",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 631 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028678-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16265620
title: RRC State Diagram 5G-NR UE Traffic Model Dataset (5G-RRC-SD-UE)

description: A machine learning (ML) based energy optimization framework for 5G New Radio (5G NR) utilizing a Classification and Regression Tree (CART) algorithm was proposed by the authors of this dataset. We designed a statistically grounded UE traffic model based on a custom RRC State Diagram to simulate variant UE demand. As a result, a Traffic Model dataset was produced consisting of: 

- One PNG file, indicating the 5G RAN testbed we designed for our research and dataset generation. In this layout, an inter-band NR-NR Dual Connectivity (DC) RAN architecture are proposed. The n28, n78 and n258 bands in the layout are frequency bands defined in the 5G NR (New Radio) standard, which is respectively located at 700 MHz, 3.5GHz and 26GHz.- One compressed archive (`UEdemand.zip`) containing 21,504. Each CSV file inside the ZIP archive is named with the UE distribution scenario it simulates. Each CSV file contains the UE traffic data we simulated under this distribution scenario, traffic data including: DRB demand in each cell, UE thourghput in each cell, throughput for different type of UE in each cell. - Two CSV documents (Extracted99PercentileofDrbDemand.CSV and MatechedLayerandState.CSV). For Extracted99PercentileofDrbDemand.CSV, it contains the UE distribution and the 99-percentile value of the DRB demand in each cell, with the data format of:[UserNumCase1, UserNumCase2, UserNumCase3, UserNumCase4, 99-percentile of DRB demand in n28, 99-percentile of DRB demand in n78-1, 99-percentile of DRB demand in n78-2, 99-percentile of DRB demand in n78-3, 99-percentile of DRB demand in n258]. For MatechedLayerandState.CSV, it contains the UE distribution and the matched sleep state in each cell, with the data format of: [UserNumCase1, UserNumCase2, UserNumCase3, UserNumCase4, LxSy in n28, LxSy in n78-1, LxSy in n78-2, LxSy in n78-3, LxSy in n258]. In these dataset, the UserNumCase1, 2, 3 and 4 are the UE population respectively in n258 cell, n78-2 cell, n78-2 cell, n78-3 cell and n28 cell; the  LxSy represents different level of Sleep States we assigned to each cell, L represents the layer, S represents the State, LxSy represents the sleep state of Layer x and Sate y. 

The dataset is designed for machine learning and telecommunications research.

More details of how the dataset is simulated and aplicable scenarios can be found in paper: "A ML-Based Resource Allocation Scheme for Energy Optimi-zation in 5G NR", MDPI sensor, 2025.
DOI: 10.5281/zenodo.16265621
title: RRC State Diagram 5G-NR UE Traffic Model Dataset (5G-RRC-SD-UE)

description: A machine learning (ML) based energy optimization framework for 5G New Radio (5G NR) utilizing a Classification and Regression Tree (CART) algorithm was proposed by the authors of this dataset. We designed a statistically grounded UE traffic model based on a custom RRC State Diagram to simulate variant UE demand. As a result, a Traffic Model dataset was produced consisting of: 

- One PNG file, indicating the 5G RAN testbed we designed for our research and dataset generation. In this layout, an inter-band NR-NR Dual Connectivity (DC) RAN architecture are proposed. The n28, n78 and n258 bands in the layout are frequency bands defined in the 5G NR (New Radio) standard, which is respectively located at 700 MHz, 3.5GHz and 26GHz.- One compressed archive (`UEdemand.zip`) containing 21,504. Each CSV file inside the ZIP archive is named with the UE distribution scenario it simulates. Each CSV file contains the UE traffic data we simulated under this distribution scenario, traffic data including: DRB demand in each cell, UE thourghput in each cell, throughput for different type of UE in each cell. - Two CSV documents (Extracted99PercentileofDrbDemand.CSV and MatechedLayerandState.CSV). For Extracted99PercentileofDrbDemand.CSV, it contains the UE distribution and the 99-percentile value of the DRB demand in each cell, with the data format of:[UserNumCase1, UserNumCase2, UserNumCase3, UserNumCase4, 99-percentile of DRB demand in n28, 99-percentile of DRB demand in n78-1, 99-percentile of DRB demand in n78-2, 99-percentile of DRB demand in n78-3, 99-percentile of DRB demand in n258]. For MatechedLayerandState.CSV, it contains the UE distribution and the matched sleep state in each cell, with the data format of: [UserNumCase1, UserNumCase2, UserNumCase3, UserNumCase4, LxSy in n28, LxSy in n78-1, LxSy in n78-2, LxSy in n78-3, LxSy in n258]. In these dataset, the UserNumCase1, 2, 3 and 4 are the UE population respectively in n258 cell, n78-2 cell, n78-2 cell, n78-3 cell and n28 cell; the  LxSy represents different level of Sleep States we assigned to each cell, L represents the layer, S represents the State, LxSy represents the sleep state of Layer x and Sate y. 

The dataset is designed for machine learning and telecommunications research.

More details of how the dataset is simulated and aplicable scenarios can be found in paper: "A ML-Based Resource Allocation Scheme for Energy Optimi-zation in 5G NR", MDPI sensor, 2025.
DOI: 10.15468/dl.uwv2ys
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agaricus subperonatus",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028679-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5mjym
title: Occurrence Download

description: A dataset containing 1926 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton argenteus"
 ]
}

 The dataset includes 1926 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028680-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xssumm
title: Occurrence Download

description: A dataset containing 449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Liolaemus nigromaculatus"
 ]
}

 The dataset includes 449 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028681-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jybygs
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artemisia verlotiorum",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 122 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028684-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em2sb6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artemisia verlotiorum",
 "Country is Liechtenstein",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028683-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2k45jt
title: Occurrence Download

description: A dataset containing 6238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chondrilla juncea",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6238 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028682-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfweef
title: Occurrence Download

description: A dataset containing 584831 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis acetosella"
 ]
}

 The dataset includes 584831 records from 1539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028568-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.