cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t28a4v
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.1_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060294-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ak8kg6
title: Occurrence Download

description: A dataset containing 4108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrilus laticornis"
 ]
}

 The dataset includes 4108 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060293-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/toryp1
title: PAN-00169195 - coarse ware pitcher type Hofh. 86B

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00169195&lt;/p&gt;
description: Modified: 2025-11-17T16:18:20+01:00
DOI: 10.58132/s1rowi
title: Content of the wolf-dog hybrid scats from Poland

description: The dataset contains a description of wolf-dog hybrid scat content used to assess the diet composition. Scats were collected in two study areas (Radomsko and Szubin). Scats were placed in paper envelopes and then dried in laboratory dryers for five days at 70°C. Afterward, scats were soaked and washed through a fine 0.5 mm mesh sieve. The dried remaining material was weighed. The food items were identified based on the presence of hair, fragments of bones, hooves, claws, teeth, and feathers, using specialist keys, as well as comparison with our reference material. The dataset contains the following columns:Species - wolf-dog hybridsRegion - name of the study areaDate - date when the sample was collectedMass_g - total mass of the washed scat sample in gramssmall_rodents - mass of small rodent remains within scats in gramshare - mass of European hare (Lepus europaeus) remains within scats in gramsbeaver - mass of Eurasian beaver (Castor fiber) remains within scats in gramsfallow_deer - mass of fallow deer (Dama dama) remains within scats in gramsmoose - mass of moose (Alces alces) remains within scats in gramswild_boar - mass of wild boar (Sus scrofa) remains within scats in gramsred_deer - mass of red deer (Cervus elaphus) remains within scats in gramsroe_deer - mass of roe deer (Capreolus capreolus) remains within scats in gramsCervidae_undetermined - mass of unidentified cervid remains within scats in gramscat - mass of domestic cat (Felis catus) remains within scats in gramsdog - mass of domestic dog (Canis familiaris) remains within scats in gramsbirds - mass of bird (Aves) remains within scats in gramsartificial - mass of artificial items (plastic, metal) within scats in gramsplants - mass of plant remains within scats in grams+ denotes mass &lt;0.05 g
DOI: 10.5281/zenodo.17975102
title: GWM: An integrated global resource of wetland microbiomes linking environmental metadata, community profiles, and genome-resolved metabolic traits

description: we present the Global Wetland Microbiome (GWM) database, a comprehensive resource linking environmental metadata, community profiles, and genome-resolved metabolic traits. GWM integrates 1,962 samples, combining 129 newly sequenced field-collected samples with 1,833 public datasets retrieved from the NCBI Sequence Read Archive (SRA) and NGDC Genome Sequence Archive (GSA). We generated comprehensive taxonomic community profiles for all 1,962 samples. Furthermore, to achieve genome-resolved resolution, we reconstructed 5,379 high-quality, sample-specific metagenome-assembled genomes (MAGs) from 251 representative samples (including all field-collected datasets). We further comprehensively decoded the metabolic potential of these genomes by mapping gene-level annotations to a curated set of 549 KEGG modules. To facilitate data accessibility and exploration, we developed a user-friendly web interface (https://chenglab.zju.edu.cn/) featuring flexible search tools and interactive visualizations. This platform provides a holistic view for investigating environmental associations, taxonomic profiles, and gene-level functional annotations across global wetland ecosystems.
DOI: 10.5281/zenodo.17975103
title: GWM: An integrated global resource of wetland microbiomes linking environmental metadata, community profiles, and genome-resolved metabolic traits

description: we present the Global Wetland Microbiome (GWM) database, a comprehensive resource linking environmental metadata, community profiles, and genome-resolved metabolic traits. GWM integrates 1,962 samples, combining 129 newly sequenced field-collected samples with 1,833 public datasets retrieved from the NCBI Sequence Read Archive (SRA) and NGDC Genome Sequence Archive (GSA). We generated comprehensive taxonomic community profiles for all 1,962 samples. Furthermore, to achieve genome-resolved resolution, we reconstructed 5,379 high-quality, sample-specific metagenome-assembled genomes (MAGs) from 251 representative samples (including all field-collected datasets). We further comprehensively decoded the metabolic potential of these genomes by mapping gene-level annotations to a curated set of 549 KEGG modules. To facilitate data accessibility and exploration, we developed a user-friendly web interface (https://chenglab.zju.edu.cn/) featuring flexible search tools and interactive visualizations. This platform provides a holistic view for investigating environmental associations, taxonomic profiles, and gene-level functional annotations across global wetland ecosystems.
DOI: 10.15468/dl.8x6sjh
title: Occurrence Download

description: A dataset containing 849835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 849835 records from 416 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060261-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjk4fx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.2_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060295-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17986629
title: Replication material for paper "Kachi, Bernauer, Gampfer (2015): Climate policy in hard times: Are the pessimists right? Ecological Economics. DOI: 10.1016/j.ecolecon.2015.03.002"

description: Replication material for paper "Kachi, Bernauer, Gampfer (2015): Climate policy in hard times: Are the pessimists right? Ecological Economics. DOI: 10.1016/j.ecolecon.2015.03.002"
DOI: 10.5281/zenodo.17986630
title: Replication material for paper "Kachi, Bernauer, Gampfer (2015): Climate policy in hard times: Are the pessimists right? Ecological Economics. DOI: 10.1016/j.ecolecon.2015.03.002"

description: Replication material for paper "Kachi, Bernauer, Gampfer (2015): Climate policy in hard times: Are the pessimists right? Ecological Economics. DOI: 10.1016/j.ecolecon.2015.03.002"
DOI: 10.5878/79zh-7b36
title: Drone Photographs of Pollinators in the Uppsala Region
title: Drönarfoton av pollinatörer i Uppsala region

description: This dataset contains drone images of pollinators and plants collected in the Uppsala region of Sweden. The purpose of the data collection was to document pollinator activity in natural field environments, with the long-term goal of supporting research in automated species identification. The images include a variety of pollinator species, such as bees and butterflies, as well as diverse plant species commonly found in the area.

The dataset can be used to train and evaluate models for classification of both pollinators and plant species, and it is particularly useful for research related to biodiversity monitoring, ecological field studies, and automated detection systems. Because the images are obtained from natural field sites rather than controlled laboratory settings, they offer realistic environmental conditions and therefore provide valuable challenges for algorithm development.

The images were collected specifically for this project in order to support research on drone-based pollinator monitoring. They have not been used in previous studies, and no publications have been produced from this dataset at the time of submission. The dataset is intended to be openly available for future research and methodological development.

The images were taken with a Drone, specifically DJI mini 4 Pro by Liv Olofsson, Research Assistant at SLU.
description: Detta dataset innehåller drönarbilder av pollinatörer och växter insamlade i Uppsalaregionen. Syftet med datainsamlingen var att dokumentera pollinatörers aktivitet i naturliga fältmiljöer, med det långsiktiga målet att stödja forskning inom automatisk pollinatör-identifiering. Bilderna omfattar olika pollinatörarter, såsom bin och fjärilar, samt en mångfald av växtarter som är vanliga i området.

Datasetet kan användas för att träna och utvärdera modeller för klassificering av både pollinatörer och växtarter och är särskilt användbart för forskning som rör biodiversitetsövervakning, ekologiska fältstudier och automatiserade detektionssystem. Eftersom bilderna har samlats in i naturliga miljöer snarare än i kontrollerade laboratorieförhållanden, erbjuder de realistiska omständigheter och därmed värdefulla utmaningar för algoritmutveckling.

Bilderna samlades in specifikt för detta projekt för att stödja forskning om drönarbaserad pollinatör-övervakning. De har inte använts i tidigare studier, och inga publikationer har producerats från detta dataset vid tidpunkten för inlämningen. Datasetet avses vara öppet tillgängligt för framtida forskning och metodutveckling.

Bilderna var tagna med drönare, specifikt DJI mini 4 Pro av Liv Olofsson, forskningsassistent på SLU.
DOI: 10.5878/8f6x-6c31
title: Drone Photographs of Pollinators in the Uppsala Region
title: Drönarfoton av pollinatörer i Uppsala region

description: This dataset contains drone images of pollinators and plants collected in the Uppsala region of Sweden. The purpose of the data collection was to document pollinator activity in natural field environments, with the long-term goal of supporting research in automated species identification. The images include a variety of pollinator species, such as bees and butterflies, as well as diverse plant species commonly found in the area.

The dataset can be used to train and evaluate models for classification of both pollinators and plant species, and it is particularly useful for research related to biodiversity monitoring, ecological field studies, and automated detection systems. Because the images are obtained from natural field sites rather than controlled laboratory settings, they offer realistic environmental conditions and therefore provide valuable challenges for algorithm development.

The images were collected specifically for this project in order to support research on drone-based pollinator monitoring. They have not been used in previous studies, and no publications have been produced from this dataset at the time of submission. The dataset is intended to be openly available for future research and methodological development.

The images were taken with a Drone, specifically DJI mini 4 Pro by Liv Olofsson, Research Assistant at SLU.
description: Detta dataset innehåller drönarbilder av pollinatörer och växter insamlade i Uppsalaregionen. Syftet med datainsamlingen var att dokumentera pollinatörers aktivitet i naturliga fältmiljöer, med det långsiktiga målet att stödja forskning inom automatisk pollinatör-identifiering. Bilderna omfattar olika pollinatörarter, såsom bin och fjärilar, samt en mångfald av växtarter som är vanliga i området.

Datasetet kan användas för att träna och utvärdera modeller för klassificering av både pollinatörer och växtarter och är särskilt användbart för forskning som rör biodiversitetsövervakning, ekologiska fältstudier och automatiserade detektionssystem. Eftersom bilderna har samlats in i naturliga miljöer snarare än i kontrollerade laboratorieförhållanden, erbjuder de realistiska omständigheter och därmed värdefulla utmaningar för algoritmutveckling.

Bilderna samlades in specifikt för detta projekt för att stödja forskning om drönarbaserad pollinatör-övervakning. De har inte använts i tidigare studier, och inga publikationer har producerats från detta dataset vid tidpunkten för inlämningen. Datasetet avses vara öppet tillgängligt för framtida forskning och metodutveckling.

Bilderna var tagna med drönare, specifikt DJI mini 4 Pro av Liv Olofsson, forskningsassistent på SLU.
DOI: 10.17026/ar/rgp0hq
title: PAN-00166432 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00166432&lt;/p&gt;
description: Modified: 2025-11-18T14:12:37+01:00
DOI: 10.11583/dtu.30589397
title: Audiovisual Listening Effort - Normal Hearing Participants

description: The attached are files corresponding to data collected for the published paper [1]. 23 subjects of normal hearing, normal corrected vision were recruited for this study. There are a total of 2 modalities x 4 SNR levels + 1 visual-only (in total 9) conditions.There is behavioral, EEG, and pupillometry data collected.Data structure:bdf_NH: contains all pilot (0001-0005 + Chao + test) and non-pilot (0010 - 4033) .bdf datafiles_NH: contains all conditions and trials. Row index corresponds to trial number.pupil_data_NH: contains all pilot (0001-0005 + Chao + test) and non-pilot (0010-4032) data. Data is in .csv format, where each subfolder corresponds to the given trial (279 trials each participant)results_NH: contains .csv files for all tests and behavioral performance for each key word.data_agg: pre-processed pupillometry datadata_agg_FT: pre-preprocessed EEG data
DOI: 10.11583/dtu.30589397.v2
title: Audiovisual Listening Effort - Normal Hearing Participants

description: The attached are files corresponding to data collected for the published paper [1]. 23 subjects of normal hearing, normal corrected vision were recruited for this study. There are a total of 2 modalities x 4 SNR levels + 1 visual-only (in total 9) conditions.There is behavioral, EEG, and pupillometry data collected.Data structure:bdf_NH: contains all pilot (0001-0005 + Chao + test) and non-pilot (0010 - 4033) .bdf datafiles_NH: contains all conditions and trials. Row index corresponds to trial number.pupil_data_NH: contains all pilot (0001-0005 + Chao + test) and non-pilot (0010-4032) data. Data is in .csv format, where each subfolder corresponds to the given trial (279 trials each participant)results_NH: contains .csv files for all tests and behavioral performance for each key word.data_agg: pre-processed pupillometry datadata_agg_FT: pre-preprocessed EEG data
DOI: 10.11583/dtu.30589397.v1
title: Audiovisual Listening Effort - Normal Hearing Participants

description: The attached are files corresponding to data collected for the published paper. 23 subjects of normal hearing, normal corrected vision were recruited for this study. There are a total of 2 modalities x 4 SNR levels + 1 visual-only (in total 9) conditions.There is behavioral, EEG, and pupillometry data collected.Data structure:bdf_NH: contains all pilot (0001-0005 + Chao + test) and non-pilot (0010 - 4033) .bdf datafiles_NH: contains all conditions and trials. Row index corresponds to trial number.pupil_data_NH: contains all pilot (0001-0005 + Chao + test) and non-pilot (0010-4032) data. Data is in .csv format, where each subfolder corresponds to the given trial (279 trials each participant)results_NH: contains .csv files for all tests and behavioral performance for each key word.doi: 10.1523/ENEURO.0288-25.2025
DOI: 10.11588/duerer.online.694529fbed62a
title: Bildnis des Vaters des Künstlers, 190166
DOI: 10.15468/dl.dyyj37
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.3_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060296-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzu3w3
title: Occurrence Download

description: A dataset containing 704778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium verum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 704778 records from 2422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060278-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5kg8w
title: Occurrence Download

description: A dataset containing 22299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((89.45049 -46.96359,192.10674 -46.96359,192.10674 -5.91867,89.45049 -5.91867,89.45049 -46.96359))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Imperata cylindrica (L.) P.Beauv."
 ]
}

 The dataset includes 22299 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185350-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpytb5
title: Occurrence Download

description: A dataset containing 2327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dendroctonus valens LeConte, 1859"
 ]
}

 The dataset includes 2327 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103891-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4d6em
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Capricornis milneedwardsii David, 1869"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202506-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndb7zb
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidomeda copei (Jordan & Gilbert, 1881)"
 ]
}

 The dataset includes 145 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330205-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8ez9u
title: Occurrence Download

description: A dataset containing 29171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Naturalis Biodiversity Center (NL) - Collembola",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 29171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205864-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y4jqa
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrotomys mindorensis Kellogg, 1945"
 ]
}

 The dataset includes 231 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084375-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auuhrf
title: Occurrence Download

description: A dataset containing 1583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((6.45168 53.19057,6.4958 53.19057,6.4958 53.2297,6.45168 53.2297,6.45168 53.19057))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2002-2022"
 ]
}

 The dataset includes 1583 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330191-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyk4fr
title: Occurrence Download

description: A dataset containing 2172296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2172296 records from 852 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172843-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.