cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ng4nkx
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum ellipticum Graham"
 ]
}

 The dataset includes 322 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160994-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pd5h9
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation, Human Observation)",
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Larosterna inca (R.Lesson & Garnot, 1827)",
 "Year 2024-2024"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001046-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rqn64
title: Occurrence Download

description: A dataset containing 14411 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Momordica charantia L."
 ]
}

 The dataset includes 14411 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002147-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvdqkf
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nycticebus bengalensis"
 ]
}

 The dataset includes 289 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025482-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34622/datarepositorium/tofls3
title: Base de dados de óbitos do Hospital da Santa Casa de Misericórdia de Guimarães

description: Sample of death records from the Hospital of the Holy House of Mercy of Guimarães (1838–1845), recorded by the institution’s clerk. Entries include date of hospital admission, date of death, name, marital status, age, place of birth, and residence. For married or widowed individuals, the spouse is identified; for single individuals, parents are not always noted. Professions are usually recorded for men, less frequently for women. Records indicate administration of sacraments, place of burial, and cause of death (noted in the margin). This file provides a simplified sample; complete records are available in the National Genealogical Repository (https://porgener.csarmento.uminho.pt/) Amostra de registo de óbitos do Hospital da Santa Casa da Misericórdia de Guimarães entre 1838 e 1845, efetuados pelo escrivão da Santa Casa. Em cada registo identifica-se a data de entrada no hospital e a data de óbito, para além do nome, estado civil, idade, naturalidade e residência. No caso de ser casado ou viúvo identifica o consorte. Nos solteiros nem sempre identifica os progenitores. No caso dos homens, em regra, é referida a profissão, o que não é tão comum nas mulheres. Refere sempre se foram administrados os sacramentos e o local de sepultura. Na margem do registo é registada a causa de morte. Este ficheiro contém uma amostra simplificada de registos de óbitos do Hospital da Santa Casa da Misericórdia de Guimarães entre 1838 e 1845. Os registos dos indivíduos estão disponíveis no Repositório Genealógico Nacional (https://porgener.csarmento.uminho.pt/), completados, sempre que possível, com outras informações do trajeto de vida.
DOI: 10.15468/dl.cnjntb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca balearica",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025485-250827131500795/datasets/export for details.
DOI: 10.15468/dl.tynf9c
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harrisia pomanensis",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025486-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2rtwq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TypeStatus is ALLOLECTOTYPE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025484-250827131500795/datasets/export for details.
DOI: 10.15468/dl.r6ncbp
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Senckenberg Dogger Bank Monitoring Data_Amphipoda_2024"
 ]
}

 The dataset includes 105 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025488-250827131500795/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.28528919
title: China-PMF-10: a 10-m national map of plastic-mulched farmlands in China of 2020 using deep semantic segmentation

description: Plastic mulching films are widely utilized in agriculture around the globe to increase soil temperature, retain soil moisture, and prevent pests. However, its large-scale and long-term application causes several environmental issues, including soil microplastic accumulation and “white pollution”. Therefore, obtaining reliable spatial distribution data on plastic-mulched farmlands (PMFs) is essential, particularly at a large scale. This study aimed to provide the first national-scale PMF map of China with a high resolution of 10 m. Specifically, this study proposed a hybrid framework for PMF mapping, which employed the VM-UNet semantic segmentation model for both updating weak labels and national-scale PMF mapping. First, a web crawler was used to gather news and academic literature related to China’s PMFs, extracting temporal and spatial distribution data on plastic mulch films. Afterwards, a national 1° grid system was established for data organization, where initial weak labels were generated via Google Earth Engine and Sentinel-2 imagery. These labels were subsequently refined through an active learning strategy within a transfer learning framework. Finally, VM-UNet was adopted for the national-scale prediction of China’s plastic-mulched farmland. Experimental results demonstrate that China-PMF-10 dataset achieved a user’s and producer’s accuracies of 86.30 ± 1.51% and 79.45 ± 1.90% for PMF, respectively. China’s total PMF area in 2020 was estimated at approximately 6.02 ± 0.58 Mha (95% CI). Furthermore, this study also found that the Hu Line emerged as a critical boundary, with more extensive PMFs and higher PMFs-to-cropland ratios to its west. This study provides a scientific basis for sustainable agricultural management and plastic pollution mitigation in China, and offers methodological insights for large-scale PMF monitoring in other regions.
DOI: 10.6084/m9.figshare.28528919.v3
title: China-PMF-10: a 10-m national map of plastic-mulched farmlands in China of 2020 using deep semantic segmentation

description: Plastic mulching films are widely utilized in agriculture around the globe to increase soil temperature, retain soil moisture, and prevent pests. However, its large-scale and long-term application causes several environmental issues, including soil microplastic accumulation and “white pollution”. Therefore, obtaining reliable spatial distribution data on plastic-mulched farmlands (PMFs) is essential, particularly at a large scale. This study aimed to provide the first national-scale PMF map of China with a high resolution of 10 m. Specifically, this study proposed a hybrid framework for PMF mapping, which employed the VM-UNet semantic segmentation model for both updating weak labels and national-scale PMF mapping. First, a web crawler was used to gather news and academic literature related to China’s PMFs, extracting temporal and spatial distribution data on plastic mulch films. Afterwards, a national 1° grid system was established for data organization, where initial weak labels were generated via Google Earth Engine and Sentinel-2 imagery. These labels were subsequently refined through an active learning strategy within a transfer learning framework. Finally, VM-UNet was adopted for the national-scale prediction of China’s plastic-mulched farmland. Experimental results demonstrate that China-PMF-10 dataset achieved a user’s and producer’s accuracies of 86.30 ± 1.51% and 79.45 ± 1.90% for PMF, respectively. China’s total PMF area in 2020 was estimated at approximately 6.02 ± 0.58 Mha (95% CI). Furthermore, this study also found that the Hu Line emerged as a critical boundary, with more extensive PMFs and higher PMFs-to-cropland ratios to its west. This study provides a scientific basis for sustainable agricultural management and plastic pollution mitigation in China, and offers methodological insights for large-scale PMF monitoring in other regions.
DOI: 10.6084/m9.figshare.28528919.v2
title: China-PMF-10: a 10-m national map of plastic-mulched farmlands in China of 2020 using deep semantic segmentation

description: We provide China-PMF-10, which is the first remote sensing classification dataset for national-scale plastic-mulched farmlands (PMFs) of China in 2020 derived from Sentinel-2. To produce this dataset, we firstly organized 1°×1° grids covering cropland within the national extent. We then acquired pre-processed multi-temporal Sentinel-2 imagery via Google Earth Engine (GEE) and applied a random forest model to generate initial weak labels for deep learning training. Next, we integrated the active learning strategy and deep learning model to refine weak labels, enhance model robustness, and reduce false positives. Using the trained deep learning model, we mapped the national distribution of PMFs, producing the China-PMF-10 dataset with a high resolution of 10 meters. It shows that the estimated total PMFs area of China is about 67,000 km² in 2020. Validation indicates a high overall accuracy of about 86%. As the first publicly available spatial distribution dataset of China’s plastic-mulched farmlands, China-PMF-10 provides valuable data reference for agriculture, land use, remote sensing and environmental sciences researchers.
DOI: 10.15468/dl.sh54xx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harrisia pomanensis",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025487-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.17053283
title: Deutsche Suchthilfestatistik 2024. Alle Bundesländer. Tabellenband für Typ 2: Stationäre Rehabilitationseinrichtungen. Bezugsgruppe: Alle Betreuungen mit Einmalkontakte. 33% Lauf.

description: Dieser unkommentierte Tabellenband enthält die Ergebnisse der Datenauswertung der Deutschen Suchthilfestatistik (DSHS) für das Datenjahr 2024 in stationären Rehabilitationseinrichtungen (Typ 2). Die Bezugsgruppe sind alle Behandlungen. Im vorliegenden Auswertungslauf (Datenfilterung) werden pro Parameter ausschließlich aggregierte Einrichtungsdatensätze einbezogen, deren Anteil fehlender Werte (Missingwerte) weniger als 33 % beträgt.
DOI: 10.5281/zenodo.17053284
title: Deutsche Suchthilfestatistik 2024. Alle Bundesländer. Tabellenband für Typ 2: Stationäre Rehabilitationseinrichtungen. Bezugsgruppe: Alle Betreuungen mit Einmalkontakte. 33% Lauf.

description: Dieser unkommentierte Tabellenband enthält die Ergebnisse der Datenauswertung der Deutschen Suchthilfestatistik (DSHS) für das Datenjahr 2024 in stationären Rehabilitationseinrichtungen (Typ 2). Die Bezugsgruppe sind alle Behandlungen. Im vorliegenden Auswertungslauf (Datenfilterung) werden pro Parameter ausschließlich aggregierte Einrichtungsdatensätze einbezogen, deren Anteil fehlender Werte (Missingwerte) weniger als 33 % beträgt.
DOI: 10.15468/dl.csc39q
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Azorella monathos"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025489-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n67j9q
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachys aculeolata",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 282 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025491-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5xx2t
title: Occurrence Download

description: A dataset containing 13917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.436021837060025 48.23998982496768, 16.6165490460608 48.229296764582884, 16.63253480478986 48.35078628495116, 16.451577224201383 48.36150906420721, 16.436021837060025 48.23998982496768))"
 ]
}

 The dataset includes 13917 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025490-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17053293
title: Research Data on Ethical Management Practices for Sustainable Innovation
DOI: 10.5281/zenodo.17053292
title: Research Data on Ethical Management Practices for Sustainable Innovation
DOI: 10.15468/dl.9zschc
title: Occurrence Download

description: A dataset containing 14633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sedum cepaea"
 ]
}

 The dataset includes 14633 records from 435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025492-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apnhue
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harrisia regelii",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025493-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16793942
title: Dataset that support 'Global hotspots of unprecedented tropical cyclone risk for targeted adaptation'

description: This repository contains datasets that support the paper:

Oderiz, I., Losada, I.J., Hinkel, J.. Global hotspots of unprecedented tropical cyclone risk for targeted adaptation.
DOI: 10.5281/zenodo.16793943
title: Dataset that support 'Global hotspots of unprecedented tropical cyclone risk for targeted adaptation'

description: This repository contains datasets that support the paper:

Oderiz, I., Losada, I.J., Hinkel, J.. Global hotspots of unprecedented tropical cyclone risk for targeted adaptation.
DOI: 10.7910/dvn/n6541z
title: Integración de Inteligencia Artificial para retroalimentar el aprendizaje de manera crítica

description: Proyecto de Innovación Docente de la UNED titulado: “Diseño y creación de un chatbot de asignatura con integración de Inteligencia Artificial para retroalimentar el aprendizaje de manera crítica”. (Resolución del Vicerrectorado de Digitalización e Innovación (UNED). BICI. Nº 27. 27 de abril de 2024).
DOI: 10.15468/dl.mmjhw5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca undata",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025495-250827131500795/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12959065
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17048136
title: BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks - Leonardo Bonetti, Chiara Malvaso and Mattia Rosso - Dataset
DOI: 10.5281/zenodo.17048137
title: BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks - Leonardo Bonetti, Chiara Malvaso and Mattia Rosso - Dataset
DOI: 10.15468/dl.4hqva4
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025496-250827131500795/datasets/export for details.
DOI: 10.15468/dl.nhgt4z
title: Occurrence Download

description: A dataset containing 5672126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carassius auratus, Carassius carassius, Ctenopharyngodon idella, Cyprinus carpio, Esox lucius, Leuciscus idus, Leuciscus leuciscus, Micropterus salmoides, Oreochromis mossambicus, Oreochromis niloticus, Perca fluviatilis, Rutilus rutilus, Sander lucioperca, Scardinius erythrophthalmus, Silurus glanis, Tinca tinca, Carassius gibelio, Polyodon spathula, Gobio gobio)",
 "HasCoordinate is true",
 "DecimalLatitude is less than 90",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 5672126 records from 1556 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025465-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcgqsb
title: Occurrence Download

description: A dataset containing 45907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetName is NØF-vannfugltellinger",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 45907 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136811-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4gqgc
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Sphaerostephanos irayensis (Copel.) Holttum"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003946-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a012rw
title: Occurrence Download

description: A dataset containing 27477 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Costa Rica",
 "Country is Mexico",
 "Country is Colombia",
 "Country is Panama",
 "Country is Belize",
 "Country is Peru",
 "Country is Ecuador",
 "Country is Puerto Rico",
 "Country is Bahamas",
 "Country is Honduras",
 "Country is Guatemala",
 "Country is Nicaragua",
 "Country is Dominican Republic",
 "Country is Cuba",
 "Country is El Salvador",
 "Country is Paraguay",
 "Country is Argentina",
 "Country is Chile",
 "Country is India",
 "Country is South Africa",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Brazil",
 "Country is Trinidad and Tobago",
 "Country is Jamaica"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Buteogallus anthracinus (Deppe, 1830)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27477 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014246-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t233rv
title: Occurrence Download

description: A dataset containing 1163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ophiothrix spiculata Le Conte, 1851"
 ]
}

 The dataset includes 1163 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010049-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffz7hq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-58.70365 -28.48457,-31.29635 -28.48457,-31.29635 -17.51543,-58.70365 -17.51543,-58.70365 -28.48457))",
 "HasCoordinate is true",
 "TaxonKey is Aplastodiscus callipygius (Cruz & Peixoto, 1985)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014246-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7qf6e
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudotsuga japonica (Shiras.) Beissn."
 ]
}

 The dataset includes 163 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003850-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxebu8
title: Occurrence Download

description: A dataset containing 1709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-9969.0",
 "TaxonKey is Neotoma macrotis Thomas, 1893"
 ]
}

 The dataset includes 1709 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001731-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.