cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tzw3hk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Leptasterias polaris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149102-230224095556074/datasets/export for details.
DOI: 10.15468/dl.rcwaf8
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhamphocetichthys savagei Paxton, 1989"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003956-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5s2qi
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma velasci Dugès, 1888"
 ]
}

 The dataset includes 1117 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003956-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzxye2
title: Occurrence Download

description: A dataset containing 1368051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chroicocephalus genei (Brème, 1839), Chroicocephalus ridibundus (Linnaeus, 1766), Hydrocoloeus minutus (Pallas, 1776), Larus argentatus Pontoppidan, 1763, Larus cachinnans Pallas, 1811, Larus canus Linnaeus, 1758, Larus fuscus Linnaeus, 1758, Larus marinus Linnaeus, 1758, Larus melanocephalus Temminck, 1820, Rissa tridactyla (Linnaeus, 1758))",
 "Year 2000-2023"
 ]
}

 The dataset includes 1368051 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149109-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkewty
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Leptasterias groenlandica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149111-230224095556074/datasets/export for details.
DOI: 10.15468/dl.bamldr
title: Occurrence Download

description: A dataset containing 836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Octopus vulgaris Cuvier, 1797",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 836 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003956-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9y6c8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia angusticeps Juz."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149118-230224095556074/datasets/export for details.
DOI: 10.15468/dl.y8jrs5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is 202631"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149134-230224095556074/datasets/export for details.
DOI: 10.15468/dl.zztc50
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prochilodus lineatus (Valenciennes, 1837)"
 ]
}

 The dataset includes 444 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003956-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2wznu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia badhysi Kult., 1916"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149212-230224095556074/datasets/export for details.
DOI: 10.15468/dl.9zwwmw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Trisopterus esmarkii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149119-230224095556074/datasets/export for details.
DOI: 10.15468/dl.a5htlq
title: Occurrence Download

description: A dataset containing 2993 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Popillia japonica Newman, 1838"
 ]
}

 The dataset includes 2993 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006101-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8gkdp
title: Occurrence Download

description: A dataset containing 1365770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Country is Denmark",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chroicocephalus genei (Brème, 1839), Chroicocephalus ridibundus (Linnaeus, 1766), Hydrocoloeus minutus (Pallas, 1776), Larus argentatus Pontoppidan, 1763, Larus cachinnans Pallas, 1811, Larus canus Linnaeus, 1758, Larus fuscus Linnaeus, 1758, Larus marinus Linnaeus, 1758, Larus melanocephalus Temminck, 1820, Rissa tridactyla (Linnaeus, 1758))",
 "Year 2000-2023"
 ]
}

 The dataset includes 1365770 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149112-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quqgr2
title: Occurrence Download

description: A dataset containing 270360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "Year 1970-2023"
 ]
}

 The dataset includes 270360 records from 2056 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033085-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s47dt4
title: Occurrence Download

description: A dataset containing 203942 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juglans regia L."
 ]
}

 The dataset includes 203942 records from 1906 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035128-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-1226
title: Enquête d'insertion professionnelle : Licence professionnelle et Master 2008

description: Les étudiants et leurs familles, les enseignants responsables des formations, les pouvoirs publics sont de plus en plus préoccupés par la question des débouchés professionnels à l'issue de l'enseignement supérieur. Pour répondre à ces attentes, l'insertion des étudiants a été inscrite dans la loi d'autonomie des universités comme une mission à part entière de l'université en 2007. Aussi le ministère de l'enseignement supérieur a décidé de centraliser les initiatives locales des universités (observatoires étudiants, responsables de formation…) d'étudier l'insertion de leurs diplômés, ceci afin de garantir un socle méthodologique commun qui assure une certaine indépendance à l'heure où analyser l'insertion professionnelle est de plus en plus considéré comme un des modes d'évaluation des formations. L'enquête sur l'insertion professionnelle des diplômés de 2008 -interrogés 30 mois après l'obtention de leur diplôme de licence professionnelle ou master- nous renseigne sur leur parcours professionnel depuis leur sortie de l'université : informations concernant leur entrée sur le marché du travail ainsi que sur les caractéristiques de leur emploi, ou période de recherche d'emploi.
DOI: 10.13144/lil-1230
title: Enquête d'insertion professionnelle : Licence professionnelle et Master 2012

description: Les étudiants et leurs familles, les enseignants responsables des formations, les pouvoirs publics sont de plus en plus préoccupés par la question des débouchés professionnels à l'issue de l'enseignement supérieur. Pour répondre à ces attentes, l'insertion des étudiants a été inscrite dans la loi d'autonomie des universités comme une mission à part entière de l'université en 2007. Aussi le ministère de l'enseignement supérieur a décidé de centraliser les initiatives locales des universités (observatoires étudiants, responsables de formation…) d'étudier l'insertion de leurs diplômés, ceci afin de garantir un socle méthodologique commun qui assure une certaine indépendance à l'heure où analyser l'insertion professionnelle est de plus en plus considéré comme un des modes d'évaluation des formations. L'enquête sur l'insertion professionnelle des diplômés de 2012 -interrogés 30 mois après l'obtention de leur diplôme de licence professionnelle ou master- nous renseigne sur leur parcours professionnel depuis leur sortie de l'université : informations concernant leur entrée sur le marché du travail ainsi que sur les caractéristiques de leur emploi, ou période de recherche d'emploi. Cette année, des questions spécifiques sur leur situation 18 mois après l'obtention de leur diplôme ont été ajoutées.
DOI: 10.7807/microm:einwohner:suf:v1
title: Sozioökonomische Daten auf Rasterebene (SUF 1). Einwohner
title: Socio-Economic Data on grid level (SUF 1). Population

description: Die Einwohnerstruktur weist die Absolutzahl der Einwohner pro Gebietsebene aus. Komplementär zu diesem Datensatz liegt auch die Alters- und Geschlechtsstruktur der Einwohner als separater Datensatz vor und ist unter der DOI 10.7807/microm:einwGeAl:suf:V1 erhältlich.
description: RWI-GEO-GRID
description: RWI-GEO-GRID
description: Microm verwendet schätzungsweise über eine Milliarde Einzelinformationen, die in den microm Datensatz einfließen. Die Grundlage für die Informationsgewinnung bilden im Wesentlichen Informationen über ca. 40,7 Millionen Haushalte in Deutschland. Die Daten werden jedoch nicht für die einzelnen Haushalte sondern für die rund 19,7 Millionen Häuser in Deutschland ausgewiesen (microm 2014, Seite 1). Aus datenschutzrechtlichen Gründen werden Häuser, die zu einem Wohnumfeld gehören, zu einem „virtuellen“ mikrogeografischen Segment (sog. Mikrozelle) gebündelt, das durchschnittlich acht, mindestens aber fünf Häuser umfasst. So werden aus den benutzten Grunddaten Informationen zu den Haushaltsstrukturen generiert, die dann wiederum in weitere Hochrechnungen einfließen. Wann immer dies möglich ist, werden die errechneten Daten mit anderen Datenquellen wie beispielsweise amtlichen Daten, die auf einer höheren Aggregationsstufe vorliegen, abgeglichen (microm 2014, Seite 2). Darüber hinaus nutzt microm die Möglichkeit seine Wohnumfelder zu geocodieren, das heißt, den Wohnfeldern werden Koordinaten zugewiesen. Dadurch wird die Möglichkeit geschaffen, diese Informationen den einzelnen Rastern zuzuordnen und auf dieser Ebene zu aggregieren.
DOI: 10.6084/m9.figshare.30133561
title: Dataset for Express Delivery Station Location: Residential Point Population Data and Optimization Results for Fuzhou and Shenzhen

description: The datasets comprise residential point population data for Fuzhou's main urban area and Shenzhen's Futian District, along with facility location results obtained from different optimization methods in the manuscript <b>"A Multi-Agent Deep Reinforcement Learning Method with Diversified Policies for Continuous Location of Express Delivery Stations Under Heterogeneous Scenarios"</b>.Authors: Lyu Y., Tang Z., Li Y., Liu B., Deng M., and Wu G.
DOI: 10.6084/m9.figshare.30133561.v2
title: Dataset for Express Delivery Station Location: Residential Point Population Data and Optimization Results for Fuzhou and Shenzhen

description: The datasets comprise residential point population data for Fuzhou's main urban area and Shenzhen's Futian District, along with facility location results obtained from different optimization methods in the manuscript <b>"A Multi-Agent Deep Reinforcement Learning Method with Diversified Policies for Continuous Location of Express Delivery Stations Under Heterogeneous Scenarios"</b>.Authors: Lyu Y., Tang Z., Li Y., Liu B., Deng M., and Wu G.
DOI: 10.6084/m9.figshare.30133561.v1
title: Data of manuscript "A Multi-Agent Deep Reinforcement Learning Method with Diversified Policies for Continuous Location of Express Delivery Stations Under Heterogeneous Scenarios"

description: The datasets comprise residential point population data for Fuzhou's main urban area and Shenzhen's Futian District, along with facility location results obtained from different optimization methods in the manuscript.
DOI: 10.15468/dl.xy7gj5
title: Occurrence Download

description: A dataset containing 6618472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "Year 2018-2018"
 ]
}

 The dataset includes 6618472 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014669-250920141307145/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.30193942
title: A Comprehensive IMU Dataset for Evaluating Sensor Layouts in Human Activity and Intensity Recognition

description: A comprehensive IMU dataset for evaluating sensor layouts in human activity and intensity recognition
DOI: 10.6084/m9.figshare.30193942.v2
title: A Comprehensive IMU Dataset for Evaluating Sensor Layouts in Human Activity and Intensity Recognition

description: A comprehensive IMU dataset for evaluating sensor layouts in human activity and intensity recognition
DOI: 10.6084/m9.figshare.30193942.v1
title: Comprehensive-IMU-Dataset

description: A comprehensive IMU dataset for evaluating sensor layouts in human activity and intensity recognition
DOI: 10.7807/microm:zahlindex:suf:v1
title: Sozioökonomische Daten auf Rasterebene (SUF 1). Zahlungsindex
title: Socio-Economic Data on grid level (SUF 1). Payment index

description: Die Variable Zahlungsindex beschreibt die statistische Wahrscheinlichkeit von Zahlungsausfällen für jedes Haus in Deutschland. Es erfolgt eine Einteilung der Häuser in neun Risikoklassen (microm 2014, S. 88). Die Klassen werden durch ein Scoringverfahren ermittelt, in das u. a. Negativmerkmale des Verbandes der Vereine Creditreform, sowie Informationen über Alters- und Familienstruktur, Wohnumfeld etc. einfließen. Alle Angaben sind gemäß der Vorgaben des Datenschutzes anonymisiert. Die wichtigste Grundlage bildet der Anteil der Haushalte mit Zahlungsproblemen(microm 2014, S. 88).
description: RWI-GEO-GRID
description: RWI-GEO-GRID
DOI: 10.15468/dl.k3bhfe
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster qungbixiensis",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014736-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tbzxv
title: Occurrence Download

description: A dataset containing 1760 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana decumbens"
 ]
}

 The dataset includes 1760 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014737-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwut6t
title: Occurrence Download

description: A dataset containing 2729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample)",
 "Country is one of (Pakistan, India)",
 "OccurrenceStatus is Present",
 "TaxonKey is Catreus wallichii"
 ]
}

 The dataset includes 2729 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014739-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqcjmw
title: Occurrence Download

description: A dataset containing 4254354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "Year 2012-2012"
 ]
}

 The dataset includes 4254354 records from 493 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014674-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17075534
title: FSDIR_Thermal-Remote-Sensing-Dataset

description: A multi-frame thermal infrared dataset containing dynamic clouds, aircraft, and ships.
DOI: 10.7807/microm:alq:suf:v1
title: Sozioökonomische Daten auf Rasterebene (SUF 1). Arbeitslosenquote
title: Socio-Economic Data on grid level (SUF 1). Unemployment rate

description: Die Arbeitslosenquote ist der Anteil der Arbeitslosen an der Gesamtzahl der zivilen Erwerbspersonen. Sie ist ein Indikator der Bundesagentur für Arbeit für die Arbeitsmarkt- und Beschäftigungslage (microm 2014, S. 100).
description: RWI-GEO-GRID
description: RWI-GEO-GRID
description: Microm verwendet schätzungsweise über eine Milliarde Einzelinformationen, die in den microm Datensatz einfließen. Die Grundlage für die Informationsgewinnung bilden im Wesentlichen Informationen über ca. 40,7 Millionen Haushalte in Deutschland. Die Daten werden jedoch nicht für die einzelnen Haushalte sondern für die rund 19,7 Millionen Häuser in Deutschland ausgewiesen (microm 2014, Seite 1). Aus datenschutzrechtlichen Gründen werden Häuser, die zu einem Wohnumfeld gehören, zu einem „virtuellen“ mikrogeografischen Segment (sog. Mikrozelle) gebündelt, das durchschnittlich acht, mindestens aber fünf Häuser umfasst. So werden aus den benutzten Grunddaten Informationen zu den Haushaltsstrukturen generiert, die dann wiederum in weitere Hochrechnungen einfließen. Wann immer dies möglich ist, werden die errechneten Daten mit anderen Datenquellen wie beispielsweise amtlichen Daten, die auf einer höheren Aggregationsstufe vorliegen, abgeglichen (microm 2014, Seite 2). Darüber hinaus nutzt microm die Möglichkeit seine Wohnumfelder zu geocodieren, das heißt, den Wohnfeldern werden Koordinaten zugewiesen. Dadurch wird die Möglichkeit geschaffen, diese Informationen den einzelnen Rastern zuzuordnen und auf dieser Ebene zu aggregieren.
DOI: 10.15468/dl.uxtjrw
title: Occurrence Download

description: A dataset containing 178380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanoderma ruficeps",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 178380 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014658-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16568150
title: Dataset and R code used for the manuscript "Embrace the change: How regularly changing enrichment impacts the cognitive judgement bias of laboratory rats."

description: R project: CJBT_Enrichment.Rproj

R code: CJBT_Enrichment_revised.Rmd

Dataset: Data_CJBT.xlsx
DOI: 10.5281/zenodo.17115895
title: Dataset and R code used for the manuscript "Embrace the change: How regularly changing enrichment impacts the cognitive judgement bias of laboratory rats."

description: R project: CJBT_Enrichment.Rproj

R code: CJBT_Enrichment_revised.Rmd

Dataset: Data_CJBT.xlsx
DOI: 10.15468/dl.34zbve
title: Occurrence Download

description: A dataset containing 42385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Bituminaria bituminosa"
 ]
}

 The dataset includes 42385 records from 505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014740-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euvxwv
title: Occurrence Download

description: A dataset containing 816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster rehderi",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 816 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014741-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn6w82
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster rehderi",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014743-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b8t42
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster rehderi",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014744-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.