cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9anuya
title: Occurrence Download

description: A dataset containing 612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Ratibida columnifera (Nutt.) Wooton & Standl.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 612 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005177-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpgb4p
title: Occurrence Download

description: A dataset containing 987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Egypt",
 "DatasetKey is NABU|naturgucker",
 "Year 2023-2025"
 ]
}

 The dataset includes 987 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005168-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3310093001-eng
title: Reasons business or organization does not plan to use staff development measures over the next 12 months, first quarter of 2025

description: Reasons business or organization does not plan to use staff development measures over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, first quarter of 2025.
DOI: 10.15468/dl.am58kb
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bulgaria",
 "TaxonKey is Falco naumanni J.G.Fleischer, 1818"
 ]
}

 The dataset includes 304 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005170-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1z4jwkf
title: Detections of marine fauna using environmental DNA metabarcoding of seawater samples from the northern Gulf of America

description: We sampled seawater from nine mesophotic reef sites in the Pinnacles Trend and DeSoto Rim areas in the northern Gulf of America in October 2022 to complement and inform restoration investments for coral communities. Four primer sets were used to amplify environmental DNA (eDNA) from seawater, targeting metazoans, eukaryotic plankton and protists, corals, and fishes. Across all markers, four Kingdoms were detected including Animalia, Chromista, Plantae, and Protista based on 11,793 amplicon sequence variants (ASVs). Within Kingdom Animalia, 11 Phyla containing 33 Classes were detected from the surface to the seafloor. Corals and fishes, which are of particular interest, were detected at all sites and in congruence with previous video sightings for the area.In some cases eDNA analyses were able to identify fish and coral to a lower taxonomic identification than was possible through video analyses. This study provides evidence that the addition of an eDNA component to habitat characterization and biodiversity assessments can provide essential information about ecosystem dynamics from the surface, through the water column, to the benthic community.
DOI: 10.15468/dl.88nana
title: Occurrence Download

description: A dataset containing 41833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Rhinanthus minor L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 41833 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005178-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8013424
title: UAV Canyelles Vineyard Dataset 2023-04-21

description: The dataset comprises two folders: "UAV Images": This folder contains a set of 343 RGB images collected using the DJI Mavic 3 Classic UAV. The images are encoded in the JPG format (.jpg). The image metadata includes location information, camera settings, and capture dates. "Pointcloud": The "Pointcloud" folder consists of point cloud data generated from the RGB images using the Metashape program. The point cloud data is created with medium resolution and is saved in the PCD format (.pcd). The data gathering process involved manually flying the drone at an altitude of 10 meters with sufficient frontal and side overlap between the images. The data was collected in Canyelles, a region in Catalonia, Spain, on a cloudy day with an average temperature of 18 degrees Celsius.
DOI: 10.5281/zenodo.8123870
title: UAV Canyelles Vineyard Dataset 2023-04-21

description: The dataset comprises the following data: "UAV Images": This folder contains a set of 343 RGB images collected using the DJI Mavic 3 Classic UAV. The images are encoded in the JPG format (.jpg). The image metadata includes location information, camera settings, and capture dates. "Pointcloud": The "Pointcloud" folder consists of point cloud data generated from the RGB images using the Metashape program. The point cloud data is created with medium resolution and is saved in the PCD format (.pcd). "ORTOMOSAIC_230421": This is the orthomosaic image resulting of the Metashape Agisoft program running with medium accuracy. "DEM_230421": This is the DEM image resulting of the Metashape Agisoft program running with medium accuracy. The data gathering process involved manually flying the drone at an altitude of 10 meters with sufficient frontal and side overlap between the images. The data was collected in Canyelles, a region in Catalonia, Spain, on a cloudy day with an average temperature of 18 degrees Celsius.
DOI: 10.6084/m9.figshare.28533164
title: Kaggle

description: This is the data set used in the paper Brain Tumor Classification (MRI), and the complete data set can be found at: https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri
DOI: 10.15468/dl.ytpjxc
title: Occurrence Download

description: A dataset containing 2461 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euptilotis neoxenus (Gould, 1838)"
 ]
}

 The dataset includes 2461 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005179-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25420/britishmuseum.25690872
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690872.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690875.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690875
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690878
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690878.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690881
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690881.v2
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690881.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690884
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690884.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690887.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690887
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690890
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690890.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690893
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690893.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690896
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690896.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690899
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690899.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690905
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690905.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690908
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690908.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690911
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690911.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690914
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690914.v2
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690914.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690917
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690917.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690926
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690926.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690929
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690929.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690932
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690932.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690935
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690935.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690944
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690944.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690947
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690947.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690950
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690950.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690953
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690956
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690959
title: Consent form

description: Participant consent
DOI: 10.25318/3310093001-fra
title: Raisons pour lesquelles l’entreprise ou l’organisme ne prévoit pas d’utiliser de mesures de perfectionnement du personnel au cours des 12 prochains mois, premier trimestre de 2025

description: Raisons pour lesquelles l’entreprise ou l’organisme ne prévoit pas d’utiliser de mesures de perfectionnement du personnel au cours des 12 prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, premier trimestre de 2025.
DOI: 10.25420/britishmuseum.25690959.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690962
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690962.v2
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690962.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690965
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690965.v1
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690968
title: Consent form

description: Participant consent
DOI: 10.25420/britishmuseum.25690968.v1
title: Consent form

description: Participant consent
DOI: 10.15468/dl.d3r87n
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GadmGid is DEU.9_1",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Pelobates fuscus (Laurenti, 1768)"
 ]
}

 The dataset includes 49 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005171-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an4j6b
title: Occurrence Download

description: A dataset containing 36472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, NatureServe Network Species Occurrence Data, Great Backyard Bird Count)",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Tympanuchus phasianellus (Linnaeus, 1758)"
 ]
}

 The dataset includes 36472 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005180-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc6vvn
title: Occurrence Download

description: A dataset containing 95209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ara ararauna (Linnaeus, 1758)"
 ]
}

 The dataset includes 95209 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005166-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ucndz
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudocercospora platanicola (Ellis & Everh.) U.Braun",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104812-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptxsem
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schistura madhavai Sudasinghe, 2017"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330151-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.352cnq
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atelopus mindoensis Peters, 1973"
 ]
}

 The dataset includes 186 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104809-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qvz8a
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lentaria byssiseda Corner"
 ]
}

 The dataset includes 1046 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0376789-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xyres5
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primula chrysochlora Balf.fil. & Kingdon-Ward"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094847-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftb9r7
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Bothrops pictus (Tschudi, 1845)"
 ]
}

 The dataset includes 38 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0376795-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fd5n45
title: Occurrence Download

description: A dataset containing 6079972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Turdus merula Linnaeus, 1758, Turdus gularis Latham, 1801)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 6079972 records from 1916 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330083-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzqvux
title: Occurrence Download

description: A dataset containing 8049 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ortalis erythroptera P.L.Sclater & Salvin, 1870"
 ]
}

 The dataset includes 8049 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001577-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/98e1-tb13
title: the data in the paper

description: Transformers, especially dry-type transformers, which nowadays are going to be employed instead of oil-type transformers, are one of the major equipment in the generation, transmission and distribution network of electric energy. The transformer insulation strength may reduce due to partial discharge (PD) occurrence, and this can finally result in its insulation failure. In order that the insulation of a subtransmission dry-type transformer becomes immune against partial discharge effect, the electric field intensity in the insulation should be kept less than the PD inception electric field intensity. Measurement and determination of PD inception parameters provide the necessary information for warning the users. The two main partial discharge inception parameters to be investigated are the partial discharge inception voltage and the partial discharge inception electric field intensity. These two parameters are also important in the insulation design of transformers. This paper proposes a combined method using the experimental and the finite element (FEM) modeling to determine the partial discharge inception parameters. In the presented comprehensive experimental model, the detailed dimensions of the transformer winding as well as the grounded transformer core and the insulating spacers are modeled. therefore, the experimental modeling resembles the actual working conditions of the dry-type subtransmission transformer under test. As a result, the accuracy in modeling the partial discharge inception parameters increases. In the proposed method, the partial discharge inception voltage under ac stress and the approximate discharge inception time are experimentally determined by using ultra high frequency (UHF) antenna. Then by simulating the proposed electrode structure in Comsol software, the electric field distribution and the partial discharge inception electric field intensity is obtained.
DOI: 10.3886/e220462
title: HMDA National Mortgage Dataset 2007-2017

description: The Home Mortgage Disclosure Act (HMDA) 
requires many financial institutions to maintain, report, and publicly 
disclose loan-level information about mortgages. These data help show 
whether lenders are serving the housing needs of their communities; they
 give public officials information that helps them make decisions and 
policies; and they shed light on lending patterns that could be 
discriminatory. The public data are modified to protect applicant and 
borrower privacy.HMDA was originally enacted by Congress in 1975 and is implemented by Regulation C. <br><br><br>
DOI: 10.3886/e220462v1
title: HMDA National Mortgage Dataset 2007-2017

description: The Home Mortgage Disclosure Act (HMDA) 
requires many financial institutions to maintain, report, and publicly 
disclose loan-level information about mortgages. These data help show 
whether lenders are serving the housing needs of their communities; they
 give public officials information that helps them make decisions and 
policies; and they shed light on lending patterns that could be 
discriminatory. The public data are modified to protect applicant and 
borrower privacy.HMDA was originally enacted by Congress in 1975 and is implemented by Regulation C. <br><br><br>
DOI: 10.5281/zenodo.14911787
title: Merah Putih Data
DOI: 10.5281/zenodo.14911788
title: Merah Putih Data