cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ra2bdm
title: Occurrence Download

description: A dataset containing 5997 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhopalosiphum padi (Linnaeus, 1758)"
 ]
}

 The dataset includes 5997 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0386967-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p35rsx
title: Occurrence Download

description: A dataset containing 69216 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PELD-ELPA Phytoplankton and water quality parameters in the Patos Lagoon estuary and adjacent marine coast"
 ]
}

 The dataset includes 69216 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038691-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wf79sa
title: Occurrence Download

description: A dataset containing 346 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave delamateri W.C.Hodgs. & Slauson"
 ]
}

 The dataset includes 346 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271299-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjsbrn
title: Occurrence Download

description: A dataset containing 1426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.575 52.175,6.625 52.175,6.625 52.225,6.575 52.225,6.575 52.175))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1426 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0307716-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqgapa
title: Occurrence Download

description: A dataset containing 2812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is US",
 "TaxonKey is Plantae",
 "HasCoordinate is TRUE",
 {
 "or" : [
 "Country is Albania",
 "Country is Austria",
 "Country is Bosnia and Herzegovina",
 "Country is Belgium",
 "Country is Bulgaria",
 "Country is Belarus",
 "Country is Switzerland",
 "Country is Cyprus",
 "Country is Czechia",
 "Country is Germany",
 "Country is Denmark",
 "Country is Estonia",
 "Country is Spain",
 "Country is Finland",
 "Country is France",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Greece",
 "Country is Croatia",
 "Country is Hungary",
 "Country is Ireland",
 "Country is Iceland",
 "Country is Italy",
 "Country is Lithuania",
 "Country is Luxembourg",
 "Country is Latvia",
 "Country is Moldova, Republic of",
 "Country is Montenegro",
 "Country is Malta",
 "Country is North Macedonia",
 "Country is Netherlands",
 "Country is Norway",
 "Country is Poland",
 "Country is Portugal",
 "Country is Romania",
 "Country is Serbia",
 "Country is Russian Federation",
 "Country is Sweden",
 "Country is Slovenia",
 "Country is Slovakia",
 "Country is Ukraine"
 ]
 }
 ]
}

 The dataset includes 2812 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010070-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz4ghn
title: Occurrence Download

description: A dataset listing the 58 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 {
 "or" : [
 "DatasetKey is Tercer Inventario Forestal Nacional. Ministerio de Agricultura, Alimentación y Medio Ambiente (España/Spain)",
 "DatasetKey is CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España",
 "DatasetKey is A global database for the distributions of crop wild relatives",
 "DatasetKey is Pl@ntNet automatically identified occurrences",
 "DatasetKey is EURISCO, The European Genetic Resources Search Catalogue",
 "DatasetKey is Bioversity Collecting Mission Database",
 "DatasetKey is Banco de germoplasma de conservación a largo plazo (banco base) del Jardín Botánico Atlántico",
 "DatasetKey is Banco de Germoplasma del Jardín Botánico Atlántico",
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Herbarium of Vascular Plants Collection of the University of Extremadura (Spain)"
 ]
 },
 "Geometry POLYGON((-6.89289 43.2957,-6.80019 43.2957,-6.80019 43.34815,-6.89289 43.34815,-6.89289 43.2957))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 58 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301304-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abfj4h
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ilex latifolia Thunb. ex A.Murray"
 ]
}

 The dataset includes 99 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228296-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u5ex2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Taraxacum staticifolium Soest"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301307-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evdzon
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eulychnia iquiquensis (K.Schum.) Britton & Rose"
 ]
}

 The dataset includes 488 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010070-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6v9am
title: Occurrence Download

description: A dataset containing 8788 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cocos nucifera L."
 ]
}

 The dataset includes 8788 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299837-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdzqee
title: Occurrence Download

description: A dataset containing 227639 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Issue is Coordinate out of range",
 "Issue is Coordinate invalid",
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum invalid",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected",
 "Issue is Coordinate reprojection failed",
 "Issue is Coordinate reprojection suspicious",
 "Issue is Coordinate accuracy invalid",
 "Issue is Coordinate uncertainty meters invalid",
 "Issue is Coordinate precision/uncertainty mismatch",
 "Issue is Country coordinate mismatch",
 "Issue is Country mismatch",
 "Issue is Country invalid",
 "Issue is Country derived from coordinates",
 "Issue is Continent country mismatch",
 "Issue is Continent invalid",
 "Issue is Continent derived from coordinates",
 "Issue is Presumed swapped coordinate",
 "Issue is Presumed negated longitude",
 "Issue is Presumed negated latitude",
 "Issue is Recorded date mismatch",
 "Issue is Recorded date unlikely",
 "Issue is Taxon match fuzzy",
 "Issue is Taxon match none",
 "Issue is Depth not metric",
 "Issue is Depth unlikely",
 "Issue is Depth min max swapped",
 "Issue is Depth non numeric",
 "Issue is Elevation unlikely",
 "Issue is Elevation min max swapped",
 "Issue is Elevation not metric",
 "Issue is Elevation non numeric",
 "Issue is Modified date invalid",
 "Issue is Modified date unlikely",
 "Issue is Identified date unlikely",
 "Issue is Identified date invalid",
 "Issue is Basis of record invalid",
 "Issue is Type status invalid",
 "Issue is Multimedia date invalid",
 "Issue is Multimedia URI invalid",
 "Issue is References URI invalid",
 "Issue is Error during interpretation",
 "Issue is Individual count invalid",
 "Issue is Individual count conflicts with occurrence status",
 "Issue is Occurrence status unparsable",
 "Issue is Occurrence status inferred from individual count",
 "Issue is ccurrence status inferred from basis of record",
 "Issue is Georeferenced date unlikely",
 "Issue is Georeferenced date invalid",
 "Issue is Ambiguous institution",
 "Issue is Ambiguous collection",
 "Issue is Institution match none",
 "Issue is Collection match none",
 "Issue is Institution match fuzzy",
 "Issue is Collection match fuzzy",
 "Issue is Institution collection mismatch",
 "Issue is Possibly on loan",
 "Issue is Different owner institution"
 ]
 },
 "TaxonKey is Threskiornis aethiopicus (Latham, 1790)",
 "Year 1900-2021"
 ]
}

 The dataset includes 227639 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228255-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amydfk
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cytisus arboreus subsp. baeticus Webb"
 ]
}

 The dataset includes 105 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315211-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xq428n
title: Occurrence Download

description: A dataset containing 364381 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oryctolagus cuniculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 364381 records from 736 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314379-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48567/t5np-zp27
title: Mount Fleming Automatic Weather Station, 2007 quality-controlled observational data.
DOI: 10.48567/bxaf-m682
title: Mount Fleming Automatic Weather Station, 2007 Reader format three-hour observational data.
DOI: 10.25582/data.2024-01.3010758/2551018
title: Data for EMSL Project 60580 from January 2024
DOI: 10.25582/data.2024-01.3010781/2551019
title: Data for EMSL Project 60580 from January 2024
DOI: 10.15468/dl.dt2hmy
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chlorobium limicola A"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014560-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3010822/2551020
title: Data for EMSL Project 60580 from January 2024
DOI: 10.25582/data.2024-01.3010836/2551021
title: Data for EMSL Project 60580 from January 2024
DOI: 10.3886/icpsr37588.v1
title: Survey of Consumer Attitudes and Behavior, December 2015
title: Version 1

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. 
The surveys conducted in 2015 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. 
 In this survey, questions were asked regarding respondents' mortgage refinancing, political affiliation, and self and society. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, this collection contains three weight variables; WT, WT_HH, and WT_AD that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Survey of Consumers web site.
description: National sample of telephone numbers from cell (RDD) sampling frame.
description: Datasets: 
DS0: Study-Level Files
DS1: Public-Use Data
DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones in the coterminous United States. Smallest Geographic Unit: FIPS Code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the
 Survey of Consumers web site
DOI: 10.15468/dl.suzu5h
title: Occurrence Download

description: A dataset containing 1174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ageratina adenophora (Spreng.) R.M.King & H.Rob., Adenophora stricta subsp. confusa (Nannf.) D.Y.Hong, Adenophora stricta var. lancifolia Honda, Adenophora stricta var. lancifolia Hara., Adenophora polymorpha var. stricta (Miq.) Makino, Adenophora stricta subsp. stricta, Adenophora stricta subsp. henanica P.F.Tu & G.J.Xu, Adenophora stricta Miq., Adenophora stricta var. qinglongshanica P.F.Tu & G.J.Xu, Adenophora stricta subsp. sessilifolia D.Y.Hong, Adenophora stricta subsp. aurita (Franch.) D.Y.Hong & S.Ge)"
 ]
}

 The dataset includes 1174 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014562-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3010854/2551022
title: Data for EMSL Project 60580 from January 2024
DOI: 10.6084/m9.figshare.30993481
title: <b>3D digital reconstruction of conglomerate: A comparative dataset evaluating micro-CT versus optical serial grinding with color-based segmentation</b>

description: This data article presents two complementary three-dimensional (3D) image datasets of three quartzite conglomerate samples, acquired via X-ray micro-computed tomography (micro-CT) and serial grinding with optical scanning, respectively. The micro-CT data demonstrate the limitation of X-ray attenuation-based segmentation for samples where gravel clasts and matrix exhibit similar X-ray absorption, preventing reliable delineation of boundaries. In contrast, the serial grinding dataset provides high-contrast color images of successive surfaces. By splitting these images into red, green, and blue channels, the edges between clasts and matrix are significantly enhanced, enabling effective segmentation via a marker-controlled watershed algorithm. The dataset includes raw, aligned, channel-split, and segmented files for each sample, offering a direct comparison between the two imaging techniques. This data is a resource for researchers in visual paleontology, petrology, and porous media analysis who work with materials lacking X-ray contrast. It also illustrates a complete workflow from optical tomography acquisition to digital 3D reconstruction and highlights both the utility and the z-axis resolution limitation of the manual Croft parallel grinder.
DOI: 10.6084/m9.figshare.30993481.v2
title: <b>3D digital reconstruction of conglomerate: A comparative dataset evaluating micro-CT versus optical serial grinding with color-based segmentation</b>

description: This data article presents two complementary three-dimensional (3D) image datasets of three quartzite conglomerate samples, acquired via X-ray micro-computed tomography (micro-CT) and serial grinding with optical scanning, respectively. The micro-CT data demonstrate the limitation of X-ray attenuation-based segmentation for samples where gravel clasts and matrix exhibit similar X-ray absorption, preventing reliable delineation of boundaries. In contrast, the serial grinding dataset provides high-contrast color images of successive surfaces. By splitting these images into red, green, and blue channels, the edges between clasts and matrix are significantly enhanced, enabling effective segmentation via a marker-controlled watershed algorithm. The dataset includes raw, aligned, channel-split, and segmented files for each sample, offering a direct comparison between the two imaging techniques. This data is a resource for researchers in visual paleontology, petrology, and porous media analysis who work with materials lacking X-ray contrast. It also illustrates a complete workflow from optical tomography acquisition to digital 3D reconstruction and highlights both the utility and the z-axis resolution limitation of the manual Croft parallel grinder.
DOI: 10.6084/m9.figshare.30993481.v1
title: <b>3D digital reconstruction of conglomerate: A comparative dataset evaluating micro-CT versus optical serial grinding with color-based segmentation</b>

description: This data article presents two complementary three-dimensional (3D) image datasets of three quartzite conglomerate samples, acquired via X-ray micro-computed tomography (micro-CT) and serial grinding with optical scanning, respectively. The micro-CT data demonstrate the limitation of X-ray attenuation-based segmentation for samples where gravel clasts and matrix exhibit similar X-ray absorption, preventing reliable delineation of boundaries. In contrast, the serial grinding dataset provides high-contrast color images of successive surfaces. By splitting these images into red, green, and blue channels, the edges between clasts and matrix are significantly enhanced, enabling effective segmentation via a marker-controlled watershed algorithm. The dataset includes raw, aligned, channel-split, and segmented files for each sample, offering a direct comparison between the two imaging techniques. This data is a resource for researchers in visual paleontology, petrology, and porous media analysis who work with materials lacking X-ray contrast. It also illustrates a complete workflow from optical tomography acquisition to digital 3D reconstruction and highlights both the utility and the z-axis resolution limitation of the manual Croft parallel grinder, underscoring the potential for improved accuracy with computer-numerical-control (CNC) instrumentation.
DOI: 10.15468/dl.nygfhr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syrnola lendix",
 "Country is Syrian Arab Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000241-251009101135966/datasets/export for details.
DOI: 10.15156/bio/sh0160210.10fu
title: SH0160210.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.82463/6xww-1p15
title: Learning from the Rare: Overcoming Class Imbalance in Archaeological Object Detection with Boosting Methods
DOI: 10.15156/bio/sh0160211.10fu
title: SH0160211.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.