cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.arp6nx
title: Occurrence Download

description: A dataset containing 1761 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Buteogallus coronatus (Vieillot, 1817)"
 ]
}

 The dataset includes 1761 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051319-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-10.1859400/2366158
title: Data for EMSL Project 48666 from October 2019
DOI: 10.15468/dl.avhg3z
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Arborophila davidi Delacour, 1927"
 ]
}

 The dataset includes 277 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029246-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1936403/2366159
title: Data for EMSL Project 48666 from January 2020
DOI: 10.15468/dl.4b35e4
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bedevina birileffi (Lischke, 1871)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 65 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043232-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd4oby
title: Occurrence Download

description: A dataset containing 24191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 24191 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014845-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14718014
title: test data
DOI: 10.5281/zenodo.14718144
title: Test Data 2
DOI: 10.34740/kaggle/dsv/10627764
title: ExteriorCO
DOI: 10.34740/kaggle/ds/4947581
title: BharatBench
DOI: 10.15468/dl.7agj62
title: Occurrence Download

description: A dataset containing 3133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pygathrix nigripes (A.Milne-Edwards, 1871)"
 ]
}

 The dataset includes 3133 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019553-250127130748423/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.28124268
title: On Statistical Properties of a Veracity Scoring Method for Spatial Data

description: Measuring the veracity or reliability of observations is of utmost importance, especially in scenarios where a portion of the observations can be noisy, for example, when the information is gathered in a non-laboratory environment or through an automated system. Assessing the veracity of observations is difficult when no “good” quality replication or reference data is present, which is often the case in real-world applications. In this article, we define a veracity scoring method for geostatistical data based on “local” summaries of the observations and develop an estimation methodology for parameters of a spatial regression model incorporating the veracity scores (VS) to guard against undesirable effects of corrupted data. Under a nonstationary noise structure and fairly general assumptions on the underlying spatial process, we show that the VS-based estimators of the regression parameters are consistent. Moreover, we establish the advantages of the VS-based estimators as compared to the ordinary least squares (OLS) estimator by analyzing their asymptotic mean squared errors, both theoretically and empirically. In addition, we illustrate the merits of the VS-based technique in real-life applications by comparing the results against the existing robust geostatistical approaches on a real dataset and a simulated dataset in the real-data domain.
DOI: 10.6084/m9.figshare.28124268.v2
title: On Statistical Properties of a Veracity Scoring Method for Spatial Data

description: Measuring the veracity or reliability of observations is of utmost importance, especially in scenarios where a portion of the observations can be noisy, for example, when the information is gathered in a non-laboratory environment or through an automated system. Assessing the veracity of observations is difficult when no “good” quality replication or reference data is present, which is often the case in real-world applications. In this article, we define a veracity scoring method for geostatistical data based on “local” summaries of the observations and develop an estimation methodology for parameters of a spatial regression model incorporating the veracity scores (VS) to guard against undesirable effects of corrupted data. Under a nonstationary noise structure and fairly general assumptions on the underlying spatial process, we show that the VS-based estimators of the regression parameters are consistent. Moreover, we establish the advantages of the VS-based estimators as compared to the ordinary least squares (OLS) estimator by analyzing their asymptotic mean squared errors, both theoretically and empirically. In addition, we illustrate the merits of the VS-based technique in real-life applications by comparing the results against the existing robust geostatistical approaches on a real dataset and a simulated dataset in the real-data domain.
DOI: 10.6084/m9.figshare.28124268.v1
title: On Statistical Properties of A Veracity Scoring Method for Spatial Data

description: Measuring the veracity or reliability of observations is of utmost importance, especially in scenarios where a portion of the observations can be noisy, e.g., when the information is gathered in a non-laboratory environment or through an automated system. Assessing the veracity of observations is difficult when no ‘good’ quality replication or reference data is present, which is often the case in real-world applications. In this paper, we define a veracity scoring method for geostatistical data based on ‘local’ summaries of the observations and develop an estimation methodology for parameters of a spatial regression model incorporating the veracity scores (VS) to guard against undesirable effects of corrupted data. Under a non-stationary noise structure and fairly general assumptions on the underlying spatial process, we show that the VS-based estimators of the regression parameters are consistent. Moreover, we establish the advantages of the VS-based estimators as compared to the ordinary least squares (OLS) estimator by analyzing their asymptotic mean squared errors, both theoretically and empirically. In addition, we illustrate the merits of the VS-based technique in real-life applications by comparing the results against the existing robust geostatistical approaches on a real data set and a simulated dataset in the real-data domain.
DOI: 10.17172/nomad/2025.02.07-1
title: NOMAD dataset: phonon-mediated-exciton-renormalization
DOI: 10.17632/zwhpgckmvh
title: Data for: When Face-to-Face Interactions Become an Occupational Hazard: Jobs in the Time of COVID-19

description: Data to replicate paper entitled "When Face-to-Face Interactions Become an Occupational Hazard: Jobs in the Time of COVID-19".
DOI: 10.15468/dl.86baw4
title: Occurrence Download

description: A dataset containing 85878540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is USA.5_1",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 85878540 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019547-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25420/britishmuseum.28359191
title: 2022SG04 Public Metadata

description: Metadata spreadsheet with all the metadata information for the assets uploaded in project 2022SG04 following the Material Culture Ethnography Metadata Schema (MCEMS), which was developed for the Endangered Material Knowledge Programme (EMKP). MCEMS is intended to record the metadata for digital objects that were created as part of ethnographic research recording material culture, living heritage, cultural practices, and different forms of knowledge. Its aim is to aid the preservation of ethnography-specific information, facilitate archiving for future re-use and accessibility, and increase the online findability and presence of ethnographic data and research.<br>
DOI: 10.5281/zenodo.14501798
title: BAGELS paper EIC-ESR data

description: Contains the lattice files, analytical polarization scans, and Monte Carlo tracking data for:



1-IP 18 GeV EIC-ESR before and after BAGELS

2-IP 18 GeV EIC-ESR before and after BAGELS

10 random error seeds in the 1-IP 18 GeV EIC-ESR after applying BAGELS

1-IP 18 GeV EIC-ESR after applying BAGELS to create coupling for vertical emittance creation

1-IP 18 GeV EIC-ESR after applying BAGELS to create dispersion for vertical emittance creation

1-IP 18 GeV EIC-ESR after applying BAGELS to create dispersion including a simultaneous IP dispersion match for vertical emittance creation
DOI: 10.5281/zenodo.14501799
title: BAGELS paper EIC-ESR data

description: Contains the lattice files, analytical polarization scans, and Monte Carlo tracking data for:



1-IP 18 GeV EIC-ESR before and after BAGELS

2-IP 18 GeV EIC-ESR before and after BAGELS

10 random error seeds in the 1-IP 18 GeV EIC-ESR after applying BAGELS

1-IP 18 GeV EIC-ESR after applying BAGELS to create coupling for vertical emittance creation

1-IP 18 GeV EIC-ESR after applying BAGELS to create dispersion for vertical emittance creation
DOI: 10.5281/zenodo.14833269
title: BAGELS paper EIC-ESR data

description: Contains the lattice files, analytical polarization scans, and Monte Carlo tracking data for:



1-IP 18 GeV EIC-ESR before and after BAGELS

2-IP 18 GeV EIC-ESR before and after BAGELS

10 random error seeds in the 1-IP 18 GeV EIC-ESR after applying BAGELS

1-IP 18 GeV EIC-ESR after applying BAGELS to create coupling for vertical emittance creation

1-IP 18 GeV EIC-ESR after applying BAGELS to create dispersion for vertical emittance creation

1-IP 18 GeV EIC-ESR after applying BAGELS to create dispersion including a simultaneous IP dispersion match for vertical emittance creation
DOI: 10.15468/dl.ab7pnr
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Alstonia boonei De Wild.",
 "Year 1875-2025"
 ]
}

 The dataset includes 155 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019558-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/kyct-mj6a
title: Measurement of Heavy metals and inorganics in precipitation at Vilsandi

description: Measurement of Heavy metals and inorganics in precipitation at Vilsandi
DOI: 10.48597/metc-j69n
title: Measurement of Heavy metals and inorganics in precipitation at Vilsandi

description: Measurement of Heavy metals and inorganics in precipitation at Vilsandi
DOI: 10.15468/dl.m46949
title: Occurrence Download

description: A dataset containing 1779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 1779 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019561-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jke9e3
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "Year 2022-2022"
 ]
}

 The dataset includes 151 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019563-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smxwxm
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platyhelminthes"
 ]
}

 The dataset includes 629 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019564-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxpnft
title: Occurrence Download

description: A dataset containing 4830 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myuchelys bellii (Gray, 1844)"
 ]
}

 The dataset includes 4830 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019565-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrbugp
title: Occurrence Download

description: A dataset containing 3022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Porifera"
 ]
}

 The dataset includes 3022 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019566-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s4g34jzgjh
title: Consumo de sustancias psicoactivas en adolescentes dominicanos y otras variables relacionadas

description: Evaluation of the consumption of alcohol and other psychoactive substances in Dominican adolescents.
DOI: 10.6084/m9.figshare.27880200
title: Data for the article <b>Multisite integrated population model reveals diverging drivers of population dynamics in a highly mobile species</b>

description: The data presented in this repository include the following datasets used in the article <b><i>Multisite integrated population model reveals diverging drivers of population dynamics in a highly mobile species</i></b><i>, </i>were we studied three neighbouring populations (Catalonia -CAT-, Aragon -ARA- and Valencian Community -VAL-) of the Eurasian griffon vulture (<i>Gyps fulvus</i>) in the northeastern Iberian Peninsula and assessed site-specific population dynamics over 14 years, while accounting for dispersal across these populations using a Bayesian multisite integrated population model.Below is a detailed description of each file:<br><b>"Productivity and count data.xlsx"</b>: An Excel file containing data on reproductive pair counts and productivity (number of fledglings per monitored pair) across the three studied regions.<b>"CH.csv"</b>: Capture-recapture history data used for the multi-state model.<b>"msmodel.txt"</b> and <b>"msIPMscript.txt"</b>: These files contain the code for the Bayesian multi-state model and the multisite Integrated Population Model, respectively, written in JAGS language using the <code>jagsui</code> package.<b>"States-matrix-multistatemodel.xlsx"</b>: The states transition matrix of the multi-state model.For further details on the methods and modeling, please refer to the original article and supplementary material.
DOI: 10.6084/m9.figshare.27880200.v3
title: Data for the article <b>Multisite integrated population model reveals diverging drivers of population dynamics in a highly mobile species</b>"

description: The data presented in this repository include the following datasets used in the article <b><i>Multisite integrated population model reveals diverging drivers of population dynamics in a highly mobile species</i></b><i>, </i>were we studied three neighbouring populations (Catalonia -CAT-, Aragon -ARA- and Valencian Community -VAL-) of the Eurasian griffon vulture (<i>Gyps fulvus</i>) in the northeastern Iberian Peninsula and assessed site-specific population dynamics over 14 years, while accounting for dispersal across these populations using a Bayesian multisite integrated population model.Below is a detailed description of each file:<br><b>"Productivity and count data.xlsx"</b>: An Excel file containing data on reproductive pair counts and productivity (number of fledglings per monitored pair) across the three studied regions.<b>"CH.csv"</b>: Capture-recapture history data used for the multi-state model.<b>"msmodel.txt"</b> and <b>"msIPMscript.txt"</b>: These files contain the code for the Bayesian multi-state model and the multisite Integrated Population Model, respectively, written in JAGS language using the <code>jagsui</code> package.For further details on the methods and modeling, please refer to the original article and supplementary material.
DOI: 10.6084/m9.figshare.27880200.v4
title: Data for the article <b>Multisite integrated population model reveals diverging drivers of population dynamics in a highly mobile species</b>

description: The data presented in this repository include the following datasets used in the article <b><i>Multisite integrated population model reveals diverging drivers of population dynamics in a highly mobile species</i></b><i>, </i>were we studied three neighbouring populations (Catalonia -CAT-, Aragon -ARA- and Valencian Community -VAL-) of the Eurasian griffon vulture (<i>Gyps fulvus</i>) in the northeastern Iberian Peninsula and assessed site-specific population dynamics over 14 years, while accounting for dispersal across these populations using a Bayesian multisite integrated population model.Below is a detailed description of each file:<br><b>"Productivity and count data.xlsx"</b>: An Excel file containing data on reproductive pair counts and productivity (number of fledglings per monitored pair) across the three studied regions.<b>"CH.csv"</b>: Capture-recapture history data used for the multi-state model.<b>"msmodel.txt"</b> and <b>"msIPMscript.txt"</b>: These files contain the code for the Bayesian multi-state model and the multisite Integrated Population Model, respectively, written in JAGS language using the <code>jagsui</code> package.<b>"States-matrix-multistatemodel.xlsx"</b>: The states transition matrix of the multi-state model.For further details on the methods and modeling, please refer to the original article and supplementary material.
DOI: 10.15468/dl.s9qhyg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rotifera"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019568-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzccqx
title: Occurrence Download

description: A dataset containing 6162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus coqui Thomas, 1966"
 ]
}

 The dataset includes 6162 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019569-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14711776
title: Supplemental Material for Anthropogenic soils and sediments from historical trade hub on the bank of Morava River in Uherské Hradiště (Czech Republic): Archives of mediaeval landscape, environment and settlement dynamics
DOI: 10.5281/zenodo.14711777
title: Supplemental Material for Anthropogenic soils and sediments from historical trade hub on the bank of Morava River in Uherské Hradiště (Czech Republic): Archives of mediaeval landscape, environment and settlement dynamics
DOI: 10.5281/zenodo.14825760
title: TrustPCA big data files
DOI: 10.5281/zenodo.14825761
title: TrustPCA big data files
DOI: 10.60656/6ee71c78378a4305
title: Custom collection of MWR single pointing data from Lindenberg on 13 Oct 2024
DOI: 10.5281/zenodo.8164396
title: Flow cytometry data (Multiclonal Experiments 1-3)

description: Flow cytometry data from publication:



Claus-Peter Stelzer, Maria Pichler, Peter Stadler, Genome streamlining and clonal erosion in nutrient-limited environments: a test using genome-size variable populations, Evolution, Volume 77, Issue 11, November 2023, Pages 2378–2391, https://doi.org/10.1093/evolut/qpad144


Please cite this study when using this data.

Multiclonal experiments

Experiment 1: 11.10.2017 - 22.11.2017

Experiment 2: 15.02.2018 - 19.04.2018

Experiment 3: 18.04.2018 - 05.07.2018
DOI: 10.5281/zenodo.8164395
title: Flow cytometry data (Multiclonal Experiments 1-3)

description: Flow cytometry data from publication:



Claus-Peter Stelzer, Maria Pichler, Peter Stadler, Genome streamlining and clonal erosion in nutrient-limited environments: a test using genome-size variable populations, Evolution, Volume 77, Issue 11, November 2023, Pages 2378–2391, https://doi.org/10.1093/evolut/qpad144


Please cite this study when using this data.

Multiclonal experiments

Experiment 1: 11.10.2017 - 22.11.2017

Experiment 2: 15.02.2018 - 19.04.2018

Experiment 3: 18.04.2018 - 05.07.2018
DOI: 10.48597/zadr-d6gf
title: Measurement of Pm25_mass at Vilsandi

description: Measurement of Pm25_mass at Vilsandi
DOI: 10.15468/dl.hsq26v
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.91918 -59.56526,-29.71773 -59.56526,-29.71773 16.89712,-96.91918 16.89712,-96.91918 -59.56526))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus jacobitus (Cornalia, 1865)"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019573-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/ahnt-ez90
title: Stereo mathing real scenes

description: To evaluate SARNet’s generalization, we captured a real-world stereo dataset in Guangzhou using a binocular camera. The dataset includes diverse urban and natural scenes to assess SARNet’s performance beyond synthetic and benchmark datasets. Fig. 7 illustrates SARNet’s predictions on real-world scenes, KITTI 2012, and KITTI 2015. Experimental results demonstrate that SARNet generates clear and consistent disparity maps across both smooth and complex regions, highlighting its robustness in real-world depth estimation tasks. The dataset is publicly available on IEEE DataPort to support further research in stereo matching and autonomous perception.