cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16156197
title: Data for "Wildfire of war: needs for revising fire governance in a changing world"

description: This dataset supports the article "Wildfires of War: Needs for Revising Fire Governance in a Changing World". It presents spatial data on war-induced land cover changes in southern Ukraine, focusing on cropland abandonment around the 2023 frontline, west of Zaporizhzhia.

The dataset includes 9 georeferenced raster layers (GeoTIFF format), each representing annual land cover assessment results. File names follow the structure YEAR_EPSG_4326.tif, where YEAR corresponds to the year of assessment. These rasters are based on satellite-derived classifications and document the progressive loss of agricultural land use and the accumulation of unmanaged vegetation — key factors contributing to increased wildfire risk in conflict-affected areas.

Data relevance:The data highlights the indirect impacts of war on wildfire regimes, namely through fuel accumulation due to cropland abandonment and collapse of land management. These insights are critical for researchers, policymakers, and humanitarian actors addressing fire governance under crisis conditions.

Geographic coverage:Part of Zaporizhzhia and Donetsk regions, Ukraine 

Coordinate Reference System:WGS 84 (EPSG:4326)

Data format:GeoTIFF (.tif), 9 raster files

Data sources:Derived from satellite data and classification methods based on sources (34, 35) referenced in the article.

Suggested citation:Sydorenko, S., et al. (2025). Data for “Wildfire of war: needs for revising fire governance in a changing world”, Ukraine [Data set]. Zenodo. DOI: 10.5281/zenodo.16156197
DOI: 10.15468/dl.rhr7up
title: Occurrence Download

description: A dataset containing 4891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia esula",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4891 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012909-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8jyhg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Liasis fuscus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012908-250717081556266/datasets/export for details.
DOI: 10.15468/dl.gdpr25
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia esula",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 224 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012910-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/h67e-zf31
title: "IndustrialTextileDataset"

description: "Introduction of new dataset for unsupervised fabric defect detection.This dataset aims to provide a color dataset with real industrial fabric defect gathered in a visiting machine with several industrial cameras.It has been designed with the same nomenclature as MVTEC AD dataset (https:\/\/www.mvtec.com\/company\/research\/datasets\/mvtec-ad) for unsupervised anomaly detection. "
DOI: 10.15468/dl.c2z9pq
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sassafras tzumu"
 ]
}

 The dataset includes 805 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012911-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk4zpg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia ficus-indica",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012912-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgxbgt
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba glabrescens"
 ]
}

 The dataset includes 213 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012913-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zddcnn
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinogammarus trichiatus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012915-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuwysj
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012914-250717081556266/datasets/export for details.
DOI: 10.15468/dl.6c2ubs
title: Occurrence Download

description: A dataset containing 147005 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Verbascum nigrum"
 ]
}

 The dataset includes 147005 records from 884 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012832-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt95b4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinogammarus trichiatus",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012916-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swfhdw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orychophragmus ziguiensis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012917-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4r6hv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ABZ2848"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012918-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/s7159q
title: IRIS Library of Nominal Responses for Seismic Instruments
DOI: 10.15468/dl.5w2bst
title: Occurrence Download

description: A dataset containing 840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium kamaonense"
 ]
}

 The dataset includes 840 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012919-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1405392.10fu
title: SH1405392.10FU

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: 10.15156/bio/sh1405393.10fu
title: SH1405393.10FU

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: 10.17026/ar/txgdyq
title: Archeologisch vooronderzoek plangebied Baggerdepot aan de Oudelande te Ridderkerk, gemeente Ridderkerk
title: Ruimtelijk advies op basis van bureauonderzoek

description: BO
DOI: 10.15156/bio/sh1405394.10fu
title: SH1405394.10FU

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: 10.15156/bio/sh1405397.10fu
title: SH1405397.10FU

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: 10.15156/bio/sh1405398.10fu
title: SH1405398.10FU

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: 10.15156/bio/sh1405399.10fu
title: SH1405399.10FU

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: 10.15156/bio/sh1405401.10fu
title: SH1405401.10FU

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: 10.15156/bio/sh1405402.10fu
title: SH1405402.10FU

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: 10.15468/dl.5h4pky
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.13.157_2","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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006203-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1405405.10fu
title: SH1405405.10FU

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: 10.15156/bio/sh1405406.10fu
title: SH1405406.10FU

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: 10.5281/zenodo.11636022
title: Job-Related Health Issues That Affect Employees Working in Pharmaceutical Marketing

description: Abstract

Marketing representatives play a critical role in a pharmaceutical organization in the development and sustainability of their business through helping in selling of products and services. It is not an easy job. The Medical Marketing representative is a high-risk job with immense stress and negative consequences for individuals. It requires more skills, wider knowledge and emotional stability than the other profession. Due to extensive traveling, wandering and waiting time, target issues, work-life balancing problems and lack of job security the medical representative feels exhausted.

In India, the pharmaceutical industry is growing tremendously for the past few years. This industry is highly competitive in nature. It increases the need for the marketing representatives and also their roles and responsibilities simultaneously. The cut-throat competitive scenario in the market increases the pressure of achieving targets to pharmaceutical sales which ultimately induced their job stress and other health issues. So, the pharmacy institution must provide more attention to prevent and reduce the burnout of the marketing representatives, otherwise the institution will lose its reputation.

Keywords: occupational risks; pharmaceutical marketing force; road traffic accidents; violence; workplace stress; Burnout; Frustrating; Medical Representatives; Stress and Work-Life Balancing Problems; stress management Violence; Well-being.