cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n4677k
title: Occurrence Download

description: A dataset containing 0 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 (Acrocephalus luscinius (Quoy & Gaimard, 1830))",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015491-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bnfqj3
title: Occurrence Download

description: A dataset containing 0 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 (Acrocephalus luscinius (Quoy & Gaimard, 1830))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015490-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ebzttu
title: Occurrence Download

description: A dataset containing 26056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 26056 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015488-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7mb7p
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015486-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30673805
title: 123 learner data

description: This dataset documents the learning behaviors, learning outcomes, and technology proficiency of 123 <b>liberal arts</b> scholars.
DOI: 10.6084/m9.figshare.30673805.v1
title: 123 learner data

description: This dataset documents the learning behaviors, learning outcomes, and technology proficiency of 123 <b>liberal arts</b> scholars.
DOI: 10.15468/dl.82rhj2
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Otala punctata"
 ]
}

 The dataset's 2 records were derived from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001784-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17212470
title: Genome-wide investigation identifies three candidate susceptibility loci for endometriosis

description: This deposit contains genome-wide association study (GWAS) summary statistics for endometriosis, generated from a fixed-effects meta-analysis of UK Biobank (project ID 106528; GRCh37) and FinnGen R8 (Data Freeze 8, Fall 2021; GRCh38 liftover to GRCh37 for harmonization). The final sample comprises 239,102 individuals (20,915 cases; 218,187 controls).

The file `endometriosis.sumstats.gz` includes, per variant: SNP ID, chromosome, base-pair position (GRCh37), effect allele, non-effect allele, effect-allele frequency, beta (log-odds), standard error, P value, sample size, and heterogeneity metrics. We also provide summary-level PRS scripts and outputs to reproduce figures/tables (no individual-level data).
DOI: 10.5281/zenodo.17666896
title: Genome-wide investigation identifies three candidate susceptibility loci for endometriosis

description: This deposit contains genome-wide association study (GWAS) summary statistics for endometriosis, generated from a fixed-effects meta-analysis of UK Biobank (project ID 106528; GRCh37) and FinnGen R8 (Data Freeze 8, Fall 2021; GRCh38 liftover to GRCh37 for harmonization). The final sample comprises 239,102 individuals (20,915 cases; 218,187 controls).

The file `endometriosis.sumstats.gz` includes, per variant: SNP ID, chromosome, base-pair position (GRCh37), effect allele, non-effect allele, effect-allele frequency, beta (log-odds), standard error, P value, sample size, and heterogeneity metrics. We also provide summary-level PRS scripts and outputs to reproduce figures/tables (no individual-level data).
DOI: 10.5281/zenodo.17668082
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.5281/zenodo.17668081
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.25919/5c5106acbcb02
title: Near-Surface Wind Speed

description: Daily near-surface wind speeds (u) grids have been developed over all of Australia at a 0.01° spatial resolution by interpolating terrestrial anemometers measurements from an expanded network for 1975–2006. For these new grids, the Australian-averaged u trend for 1975–2006 was -0.009 m s-1 a-1 (agreeing with earlier site-based studies) with stilling over 88% of the land-surface. This new dataset can be used in numerous environmental applications, including benchmarking general circulation models to improve the representation of key parameters that govern u estimation. The methodology implemented here can be applied globally.

Dataset Creation Date: 2008-07-15

Datasets updated on Jan 2019 to include year 2018
DOI: 10.5281/zenodo.17668089
title: Heat as a Mechanical Consequence of Channel Destabilization in the Solitonic Universe Model (SEM)

description:  

This paper presents a theoretical explanation of thermal behavior within the framework of the Solitonic Universe Model (SEM). In SEM, temperature is not defined as particle motion or kinetic agitation, but as the manifestation of wave-order disruption in the finite solitonic domain of the Universe. Atoms are described as vortex-like structures whose nuclei bend the universal medium, forming stable electron channels. When the universal field becomes wavy, these channels oscillate vertically, producing what is classically perceived as heat.

However, certain heavy elements—most notably mercury—possess intrinsic nuclear asymmetry that generates lateral (forward–backward) oscillations instead of vertical ones. This internal topological irregularity causes thermal energy to spread slowly, diffusively, and without a clear direction. As a result, mercury behaves like a warm fluid even when it is physically cold. Its apparent warmth does not arise from external excitation or classical heat, but from the broken symmetry and topological dynamics of its own nucleus.
DOI: 10.15468/dl.n9m54h
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garrulax cineraceus"
 ]
}

 The dataset includes 267 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001787-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z86cgh
title: Occurrence Download

description: A dataset listing the 10003 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Year 2020-2020",
 "Year 2000-2000"
 ]
 }
 ]
}

 The dataset's 10003 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001785-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/2r2lpl
title: The Impact of Extracurricular Sports Activities on Functional Movement and Body Mass Index in School-Aged Children: A Cross-Sectional Study

description: The Impact of Extracurricular Sports Activities on Functional Movement and Body Mass Index in School-Aged Children: A Cross-Sectional StudyAll raw data.
DOI: 10.15468/dl.p3ywzu
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hordeum agriocrithon"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001788-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17665564
title: Numerical Database Of Stall Flutter Gust Response - AGREE Project

description: This dataset contains an numerical database on gust-induced stall flutter, produced within the framework of the AGREE project.

Acknowledgements

The research project is implemented in the framework of H.F.R.I call “Basic research Financing (Horizontal support of all Sciences)” under the National Recovery and Resilience Plan “Greece 2.0” funded by the European Union – NextGenerationEU (H.F.R.I. Project Number:016749)
DOI: 10.15468/dl.sa6mdy
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.29545 39.64629,-0.35504 39.64629,-0.35504 41.13544,-2.29545 41.13544,-2.29545 39.64629))",
 "HasCoordinate is true",
 "TaxonKey is Palustriella"
 ]
}

 The dataset includes 136 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001789-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0005916
title: 电解池多场耦合模型数据集
DOI: 10.57841/casdc.0005917
title: 模块化制氢系统开发与应用示范数据集
DOI: 10.57841/casdc.0005918
title: 大功率制氢模组设计与集成数据集
DOI: 10.57841/casdc.0005919
title: 固体氧化物电解池表征及电解性能测试数据集
DOI: 10.5281/zenodo.17667945
title: T2TMouseNonB
DOI: 10.57841/casdc.0005920
title: 碱水电解电极稳定性测试数据
DOI: 10.57841/casdc.0005921
title: 电解电堆功率及直流电耗测试数据集
DOI: 10.57841/casdc.0005922
title: 大尺寸催化电极批量化制备
DOI: 10.57841/casdc.0005923
title: 钛基储氢材料微观结构与储放氢性能研究
DOI: 10.57841/casdc.0005924
title: 10万片每年SOEC电池片生产线数据集
DOI: 10.5281/zenodo.17667619
title: Independent Confirmation of Force-Line Photon Topology by the 2019 MIT Supersolid Light Experiment – Robert J. Weber – November 21, 2025

description: Independent experimental confirmation of the force-line photon theory: the 2019 MIT supersolid light experiment (photons frozen into a rigid lattice while remaining superfluid) is EXACTLY the mechanical locking of open force-line pairs predicted by the model — without any prior knowledge of the experiment.

The observed crystalline pattern is the topological invariant χ(P) = 1 − g + f dropping from 1 (free photon) to fractional values inside the lattice, producing effective mass without violating c.

This is not analogy. This is the same physics that yields the permanent gluon mass in pure Yang–Mills theory via line kinking (see companion DOI 10.5281/zenodo.17619003).

The photon is not a wave.  It is not a particle.  It is a bound, out-of-phase electron/positron force-line pair.

Duality is dead.  Topology rules.

Video of the confirming experiment: https://www.youtube.com/watch?v=ZpM4h2c1DqM  Full theory: DOI 10.5281/zenodo.17667143  Yang–Mills mass gap: DOI 10.5281/zenodo.17619003

Robert J. Weber – Independent Researcher – November 21, 2025
DOI: 10.15468/dl.zuh7r6
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Iris"
 ]
}

 The dataset includes 457 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001791-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0005925
title: 钛基储氢材料批量制备
DOI: 10.57841/casdc.0005926
title: 镁基储氢材料循环性能优化
DOI: 10.57841/casdc.0005927
title: 钛基储氢材料循环性能优化
DOI: 10.57841/casdc.0005928
title: 镁基储氢材料微观结构与储放氢性能研究
DOI: 10.21227/beq3-2q19
title: "Hybrid Bonding RLGC Calculation in MATLAB"

description: "By running this code in MATLAB, you can obtain the RLGC (Resistance, Inductance, Capacitance, Conductance) parameters of RDL (Redistribution Layer) and TSV (Through-Silicon Via)."
DOI: 10.57841/casdc.0005929
title: 碱水电解电极催化性能数据
DOI: 10.6084/m9.figshare.30662291
title: Satellite monitoring of Greenland wintertime buried lake drainage

description: This repository provides the code and datasets corresponding to the manuscript "<i>Satellite monitoring of Greenland wintertime buried lake drainage and potential ice flow response</i>", and includes two folders:1. Buried_lake_drainage_codeThis folder contains two Python Jupyter Notebooks for detecting wintertime buried lake drainages (BLDs). The "step1_Detecting_σ0_variations.ipynb" Jupyter Notebook detects σ⁰ variations within depressions using Sentinel-1 imagery from Google Earth Engine (GEE) and depression data provided in the "Input_data" folder. The "step2_Assessing_summertime_meltwater.ipynb" Jupyter Notebook assesses maximum summertime meltwater areas using the output file from step 1, Sentinel-2 imagery from GEE, and depression data provided in the "Input_data" folder.Detailed descriptions of each intermediate output file and the attributes in the final result file are provided in "Output_description.xlsx".2. Buried_lake_drainage_datasetThis folder contains two Shapefiles of BLDs on the Greenland Ice Sheet detected during winters of 2017–2023. "buried_lake_drainage_type1_type2" represents complete BLDs and partial BLDs, while "buried_lake_drainage_type3" represents low-confidence BLDs.The attribute table of each Shapefile contains a total of 10 attributes, including BLD ID, year, basin, date, depression ID, longitude, latitude, s1_before (Sentinel-1 acquisition date before drainage), s1_after (Sentinel-1 acquisition date after drainage), and BLD type (1–complete BLD; 2–partial BLD; 3–low-confidence BLD).
DOI: 10.6084/m9.figshare.30662291.v1
title: Satellite monitoring of Greenland wintertime buried lake drainage

description: This repository provides the code and datasets corresponding to the manuscript "<i>Satellite monitoring of Greenland wintertime buried lake drainage and potential ice flow response</i>", and includes two folders:1. Buried_lake_drainage_codeThis folder contains two Python Jupyter Notebooks for detecting wintertime buried lake drainages (BLDs). The "step1_Detecting_σ0_variations.ipynb" Jupyter Notebook detects σ⁰ variations within depressions using Sentinel-1 imagery from Google Earth Engine (GEE) and depression data provided in the "Input_data" folder. The "step2_Assessing_summertime_meltwater.ipynb" Jupyter Notebook assesses maximum summertime meltwater areas using the output file from step 1, Sentinel-2 imagery from GEE, and depression data provided in the "Input_data" folder.Detailed descriptions of each intermediate output file and the attributes in the final result file are provided in "Output_description.xlsx".2. Buried_lake_drainage_datasetThis folder contains two Shapefiles of BLDs on the Greenland Ice Sheet detected during winters of 2017–2023. "buried_lake_drainage_type1_type2" represents complete BLDs and partial BLDs, while "buried_lake_drainage_type3" represents low-confidence BLDs.The attribute table of each Shapefile contains a total of 10 attributes, including BLD ID, year, basin, date, depression ID, longitude, latitude, s1_before (Sentinel-1 acquisition date before drainage), s1_after (Sentinel-1 acquisition date after drainage), and BLD type (1–complete BLD; 2–partial BLD; 3–low-confidence BLD).
DOI: 10.71947/arim.jpmxp1225tu5009
title: 積層配線_Au250_Cr10_cleaning_liftoff
DOI: 10.71947/arim.jpmxp1225ji2003
title: オリゴ糖鎖の構造解析
DOI: 10.15468/dl.abxk3n
title: Occurrence Download

description: A dataset containing 4104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Peru",
 "TaxonKey is Papilionidae"
 ]
}

 The dataset includes 4104 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001792-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqqsfv
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrangea chinensis",
 "Year 2005-2024"
 ]
}

 The dataset includes 31 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001794-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59um8k
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cola greenwayi greenwayi, Cola natalensis)"
 ]
}

 The dataset includes 166 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001795-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5867mw
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Iris"
 ]
}

 The dataset includes 457 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001796-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36k82r
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Malaysia",
 "TaxonKey is one of (Echinolampadacea, Clypeasteroida, Spatangoida)"
 ]
}

 The dataset includes 75 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001797-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ab26ju
title: Occurrence Download

description: A dataset containing 25209425 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 25209425 records were derived from 71015 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001786-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/0fjg-kc34
title: "Accident Detection Source and Target Dataset"

description: "We use two datasets for accident detection: a source dataset and a target dataset.The source dataset consists of daytime accident images taken from the CADP dataset.The target dataset, NIAD-Large, is constructed for nighttime accident detection and is collected from multiple sources, including the DAD dataset, CCD dataset, CADP, and accident footage from Jaipur city surveillance cameras."