cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j63xhs
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrovatus villiersi, Hydrovatus vulneratus, Hyphydrus signatus, Hyphydrus caffer, Hyphydrus circumflexus, Hyphydrus cycloides, Hyphydrus grandis, Hyphydrus impressus, Hyphydrus komghaensis, Hyphydrus prozeskyi, Hyphydrus residuus, Hyphydrus soni, Laccophilus canthydroides, Laccophilus concisus, Laccophilus contiro, Laccophilus pallescens, Laccophilus immundus, Laccophilus necopinus, Laccophilus remex, Laccophilus shephardi, Laccophilus simplicistriatus, Laccophilus torquatus, Laccophilus vermiculosus, Laccophilus, Leiodytes australis, Leiodytes, Leiodytes evanescens, Leiodytes hieroglyphicus, Nebrioporus capensis, Nebrioporus, Nebrioporus solivagus, Nebrioporus vagrans, Peschetius ultimus, Philaccolus lineatoguttatus, Philaccolus, Philodytes, Platydytes coarctaticollis, Platydytes, Platydytes cooperae, Primospes suturalis, Primospes, Rhantus capensis, Rhantus, Rhantus cicurius, Rhantus concolorans, Sharphydrus capensis, Tikoloshanes eretiformis, Tikoloshanes, Tyndallhydrus caraboides, Tyndallhydrus, Uvarus gschwendtneri, Yola babaulti, Yola dilatata, Yola dohrni, Yola peringueyi, Yola simulantis, Yola swierstrai, Yola tuberculata, Ahaggaria, Ctenelmis discrepans, Ctenelmis, Ctenelmis elegans, Ctenelmis harrisoni, Ctenelmis incerta, Ctenelmis lata, Ctenelmis rufipes, Ctenelmis tibialis, Haplelmis mixta, Helminthocharis cristula, Helminthocharis, Helminthopsis allansoni, Helminthopsis bifida, Helminthopsis ciliata, Helminthopsis elongata, Leielmis georyssoides, Leielmis, Leptelmis fragilis, Microdinodes simoni, Microdinodes transvaalicus, Microdinodes vaalensis, Omotonus notabilis, Pachyelmis amaena, Peloriolus costulatipennis, Peloriolus difficilis, Peloriolus interstitialis, Peloriolus parvulus, Peloriolus patruelis, Peloriolus pilosellus, Potamodytes africanus, Potamodytes brincki, Potamodytes major, Leptelmis major, Protelmis chutteri, Pseudancyronyx humeralis natalensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023122-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pac8y2
title: Occurrence Download

description: A dataset containing 2270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton lundianus"
 ]
}

 The dataset includes 2270 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023119-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxemrc
title: Occurrence Download

description: A dataset containing 74396 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galinsoga parviflora"
 ]
}

 The dataset includes 74396 records from 1006 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023045-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trn858
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton rottlerifolius"
 ]
}

 The dataset includes 181 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023123-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1385sv2
title: PIT Tags Encountered by Klamath Falls Field Station Equipment in the Upper Klamath Basin 1993-2024 (ver. 3.0, April 2024)

description: Data were collected as part of a long-term capture-recapture program to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon and Clear Lake Reservoir, California. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. PIT tagged species were encountered in netting efforts, remote transceivers, and active scanning on bird colonies across the Upper Klamath River Basin (predominately Upper Klamath Lake and Clear Lake Reservoir). The data includes detections for endangered suckers, but also salmonids and other PIT tagged aquatic species that were encountered. While previous versions are available through ScienceBase, all the records in previous versions can be found in version 3.0.
 
First release: 2022
Revised: August 2023 (ver. 2.0)
Revised: April 2024 (ver. 3.0)
DOI: 10.15468/dl.a6z47a
title: Occurrence Download

description: A dataset containing 2087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Afrixalus aureus, Afrixalus delicatus, Afrixalus fornasini, Afrixalus knysnae, Afrixalus spinifrons, Amietia delalandii, Amietia fuscigula, Amietia hymenopus, Amietia poyntoni, Amietia vandijki, Amietia vertebralis, Anhydrophryne hewitti, Anhydrophryne ngongoniensis, Anhydrophryne rattrayi, Arthroleptella atermina, Arthroleptella bicolor, Arthroleptella draconella, Arthroleptella drewesii, Arthroleptella kogelbergensis, Arthroleptella landdrosia, Arthroleptella lightfooti, Arthroleptella rugosa, Arthroleptella subvoce, Arthroleptella villiersi, Arthroleptis stenodactylus, Arthroleptis wageri, Arthroleptis wahlbergii, Breviceps acutirostris, Breviceps adspersus, Breviceps bagginsi, Breviceps branchi, Breviceps carruthersi, Breviceps fuscus, Breviceps gibbosus, Breviceps macrops, Breviceps montanus, Breviceps mossambicus, Breviceps namaquensis, Breviceps passmorei, Breviceps pentheri, Breviceps rosei, Breviceps sopranus, Breviceps sylvestris, Breviceps verrucosus, Cacosternum aggestum, Cacosternum australis, Cacosternum boettgeri, Cacosternum capense, Cacosternum karooicum, Cacosternum namaquense, Cacosternum nanogularum, Cacosternum nanum, Cacosternum parvum, Cacosternum platys, Cacosternum rhythmum, Cacosternum striatum, Cacosternum thorini, Capensibufo deceptus, Capensibufo magistratus, Capensibufo rosei, Capensibufo selenophos, Capensibufo tradouwi, Chiromantis xerampelina, Hadromophryne natalensis, Heleophryne depressa, Heleophryne hewitti, Heleophryne orientalis, Heleophryne purcelli, Heleophryne regis, Heleophryne rosei, Hemisus guineensis, Hemisus guttatus, Hemisus marmoratus, Hildebrandtia ornata, Hyperolius argus, Hyperolius horstockii, Hyperolius marmoratus, Hyperolius pickersgilli, Hyperolius poweri, Hyperolius pusillus, Hyperolius semidiscus, Hyperolius tuberilinguis, Kassina senegalensis, Leptopelis mossambicus, Leptopelis natalensis, Leptopelis xenodactylus, Microbatrachella capensis, Natalobatrachus bonebergi, Phlyctimantis maculatus, Phrynobatrachus acridoides, Phrynobatrachus mababiensis, Phrynobatrachus natalensis, Phrynomantis annectens, Phrynomantis bifasciatus, Poyntonia paludicola, Poyntonophrynus fenoulheti, Poyntonophrynus vertebralis, Ptychadena anchietae, Ptychadena mossambica, Ptychadena nilotica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 2087 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023125-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nacpv6
title: Occurrence Download

description: A dataset containing 30630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PRT.15.6_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 30630 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023124-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17048695
title: For article "AI-Driven Client Acquisition in Social Media: Optimizing Engagement through Convolution and Recurrent Neural Networks"
DOI: 10.15468/dl.y9c639
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.32319 3.81533,-76.312 3.81492,-76.31145 3.82319,-76.32264 3.8236,-76.32319 3.81533))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023128-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3uddk
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Athroostachys capitata"
 ]
}

 The dataset includes 251 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023129-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17048712
title: Artifacts: An Exploratory Study on Communication Practices in AI-Based Software Engineering Projects

description: This repository contains the research artifacts related to the study "An Exploratory Study on Communication Practices in AI-Based Software Engineering Projects". The repository includes the interview scripts, anonymized interview transcripts, and coding structures generated through the Socio-Technical Grounded Theory (STGT) methodology, organized by analysis cycle.
DOI: 10.3886/e237670
title: CFPB Making Ends Meet Survey Public Use Data

description: The Consumer Financial Protection Bureau’s (CFPB’s) Making Ends Meet (MEM) survey
program is a general financial survey conducted regularly by the Office of Research at the CFPB.
The surveys cover financial decision-making, perceptions, expectations, well-being, marketing
and usage of different consumer finance products. This public use file (PUF) consists of surveys
from the initial Making Ends Meet sample in 2019 (Sample 1) as well as surveys from all
samples from 2022 forward (Sample 3 and later).<br><br>The CFPB has released information and research based on these surveys and the related credit
panel data for the last several years and is now making the data from the surveys public. These
public use files also include select credit panel variables for the respondents to the 2019 survey
and its follow-up surveys in 2020 and 2021. (Later surveys do not have credit variables.) These
data will allow researchers to compare consumers’ financial status along several dimensions,
including financial wellbeing, difficulty paying bills and expenses, and ability to cover expenses
following income loss.<br><br>The data is divided into folders by sample numbers. Also included is a user's manual with information about the survey and codebook. The parameters for the different samples are listed in the user's manual.
description: Sample of adults aged 18 or older in the US with a credit record.
description: Data downloaded 2025-09-03
DOI: 10.3886/e237670v1
title: CFPB Making Ends Meet Survey Public Use Data

description: The Consumer Financial Protection Bureau’s (CFPB’s) Making Ends Meet (MEM) survey
program is a general financial survey conducted regularly by the Office of Research at the CFPB.
The surveys cover financial decision-making, perceptions, expectations, well-being, marketing
and usage of different consumer finance products. This public use file (PUF) consists of surveys
from the initial Making Ends Meet sample in 2019 (Sample 1) as well as surveys from all
samples from 2022 forward (Sample 3 and later).<br><br>The CFPB has released information and research based on these surveys and the related credit
panel data for the last several years and is now making the data from the surveys public. These
public use files also include select credit panel variables for the respondents to the 2019 survey
and its follow-up surveys in 2020 and 2021. (Later surveys do not have credit variables.) These
data will allow researchers to compare consumers’ financial status along several dimensions,
including financial wellbeing, difficulty paying bills and expenses, and ability to cover expenses
following income loss.<br><br>The data is divided into folders by sample numbers. Also included is a user's manual with information about the survey and codebook. The parameters for the different samples are listed in the user's manual.
description: Sample of adults aged 18 or older in the US with a credit record.
description: Data downloaded 2025-09-03
DOI: 10.15468/dl.ybwr3u
title: Occurrence Download

description: A dataset containing 525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidium sativum",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 525 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023133-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqs7p4
title: Occurrence Download

description: A dataset containing 15592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Centaurea paniculata"
 ]
}

 The dataset includes 15592 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023132-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/25486597.v1
title: Dop-Net Data

description: https://dop-net.com/<b>DopNet</b> is a large Radar database organised in a hierarchy in which each node represents the data of a person which is divided into different gestures recorded from that person. The data here was measured with FMCW and CW Radars.DopNet‘s structure makes it a useful tool for Machine Learning Gesture Recognition software and Image Processing for the spectrograms.The shared data was generated by <b>Dr. Matthew Ritchie</b> (<b>University College London (UCL)</b>, London, United Kingdom) and <b>Richard Capraru</b> (<b>Nanyang Technological University (NTU)</b> and <b>Singapore Agency for Science, Technology and Research (A*STAR)</b>, Singapore) within the <b>UCL Radar Research Group</b> in collaboration with <b>Dr. Francesco Fioranelli</b> (<b>Delft University of Technology (TU Delft)</b>, Delft, Netherlands). Furthermore, it started as a <b>Laidlaw Scholarship project</b>.
DOI: 10.5281/zenodo.13693151
title: BEND Dataset Revised

description: Data from the BEND dataset (https://arxiv.org/abs/2311.12570)

HDF5 files and bed files were combined into single parquet files.
DOI: 10.5281/zenodo.13693152
title: BEND Dataset Revised

description: Data from the BEND dataset (https://arxiv.org/abs/2311.12570)

HDF5 files and bed files were combined into single parquet files.
DOI: 10.15468/dl.yud54p
title: Occurrence Download

description: A dataset containing 94348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.29433 11.11584,-72.26117 11.18999,-72.40288 11.26412,-72.60127 11.27647,-72.76816 11.20852,-72.90987 11.06949,-72.97803 10.85308,-73.00637 10.8005,-73.00952 10.6458,-73.00007 10.5096,-72.93709 10.34236,-72.76957 10.50743,-72.6688 10.70552,-72.60897 10.85091,-72.46067 11.02502,-72.29433 11.11584))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 94348 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117414-240626123714530/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.26314486
title: Construction of orthogonal-MaxPro Latin hypercube designs

description: Orthogonal Latin hypercube designs (LHDs) and maximum projection (MaxPro) LHDs are widely used in computer experiments. They are efficient for estimating the trend part and the Gaussian process part of the universal Kriging (i.e., the Gaussian process) model, respectively, especially when only some of the factors are active. Yet, the orthogonality and the MaxPro criteria often do not agree with each other. In this work, we propose a new class of optimal designs, called orthogonal-MaxPro LHDs, optimizing a well-defined multi-objective criterion combining the correlation and the MaxPro metrics. An efficient parallel algorithm via level permutations and expansions is developed, whose efficiency is guaranteed by theories. Numerical results are presented to show that the construction is fast and the obtained designs are attractive, especially for large computer experiments.
DOI: 10.6084/m9.figshare.26314486.v1
title: Construction of orthogonal-MaxPro Latin hypercube designs

description: Orthogonal Latin hypercube designs (LHDs) and maximum projection (MaxPro) LHDs are widely used in computer experiments. They are efficient for estimating the trend part and the Gaussian process part of the universal Kriging (i.e., the Gaussian process) model, respectively, especially when only some of the factors are active. Yet, the orthogonality and the MaxPro criteria often do not agree with each other. In this work, we propose a new class of optimal designs, called orthogonal-MaxPro LHDs, optimizing a well-defined multi-objective criterion combining the correlation and the MaxPro metrics. An efficient parallel algorithm via level permutations and expansions is developed, whose efficiency is guaranteed by theories. Numerical results are presented to show that the construction is fast and the obtained designs are attractive, especially for large computer experiments.
DOI: 10.15468/dl.km33zz
title: Occurrence Download

description: A dataset containing 8344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae, Acanthosomatidae SIGNORET, Acanthosomatidae Signoret, 1864, Acanthosomatidae Signoret, 1863, Acanthosomatidae Signoret, 1864, Acanthosomatidae Signoret, 1864, Acanthosomatidae (Putshkov 1959), Acanthosomatidae Signoret, 1864, Acanthosomatidae Signoret 1863, Acanthosomatidae Signoret, 1863, Acanthosomatidae Signoret, 1864, Acanthosomatidae Signoret 1863, Acanthosomatidae Signoret, 1864, Acanthosomatidae Stål, 1864, Acanthosomatidae Signoret 1863, Acanthosomatidae Signoret, 1864, Acanthosomatidae Signoret, 1863, Lestoniidae, Lestoniidae, Plataspididae, Urostylididae Dallas 1851, Plataspididae Dallas 1851, Scutelleridae Leach, Urostylididae, Urostylididae Dallas, 1851, Pentatomidae Leach, 1815, Thaumastellidae, Thaumastellidae Seidenstucker Historical, Scutelleridae Leach, 1815, Pentatomidae Leach, Scutelleridae Leach, 1815, Scutelleridae, Pentatomidae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8344 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117417-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fa6au9
title: Occurrence Download

description: A dataset containing 14463 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Octopus vulgaris Cuvier, 1797"
 ]
}

 The dataset includes 14463 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117416-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13312452
title: Simulated AFM data for E45A- and E45A/R132T-mutant, and wild type, HIV-1 capsids

description: Raw data files for simulated AFM experiments; Deshpande, et al. 2024.
DOI: 10.5281/zenodo.13312453
title: Simulated AFM data for E45A- and E45A/R132T-mutant, and wild type, HIV-1 capsids

description: Raw data files for simulated AFM experiments; Deshpande, et al. 2024.
DOI: 10.15468/dl.bvgsva
title: Occurrence Download

description: A dataset containing 68623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mammalia, Aves, Amphibia, Reptilia, Reptilia, Reptilia, Reptilia)"
 ]
}

 The dataset includes 68623 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117418-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.