cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25810/02va-fn46
title: FIRED Czechia Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for CZECHIA from November 2000  to August 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.7924/r43n2d008
title: Data from: Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis

description: GWAS summary statistics for Y. pestis invasion in 961 LCLs generated using QFAM-parents in PLINK with adaptive permutation. For details of methods refer to manuscript Keener et al. 2024. 
Yersinia pestis is the gram-negative bacterium responsible for plague, one of the deadliest and most feared diseases in human history. This bacterium is known to infect phagocytic cells, such as dendritic cells and macrophages, but interactions with non-phagocytic cells of the adaptive immune system are frequently overlooked despite the importance they likely hold for human infection. To discover human genetic determinants of Y. pestis infection, we utilized nearly a thousand genetically diverse lymphoblastoid cell lines in a cellular genome-wide association study method called Hi-HOST (High-throughput Human in-vitrO Susceptibility Testing). We identified a nonsynonymous SNP, rs2282284, in Fc receptor like 3 (FCRL3) associated with bacterial invasion of host cells (p=9x10-8). FCRL3 belongs to the immunoglobulin superfamily and is primarily expressed in lymphocytes. rs2282284 is within a tyrosine-based signaling motif, causing an asparagine-to-serine mutation (N721S) in the most common FCRL3 isoform. Overexpression of FCRL3 facilitated attachment and invasion of non-opsonized Y. pestis. Additionally, FCRL3 colocalized with Y. pestis at sites of cellular attachment, suggesting FCRL3 is a receptor for Y. pestis. These properties were variably conserved across the FCRL family, revealing molecular requirements of attachment and invasion, including an Ig-like C2 domain and a SYK interaction motif. Direct binding was confirmed with purified FCRL5 extracellular domain. Following attachment, invasion of Y. pestis was dependent on SYK and decreased with the N721S mutation. Unexpectedly, this same variant is associated with risk of chronic hepatitis C virus infection in BioBank Japan. Thus, Y. pestis hijacks FCRL proteins, possibly taking advantage of an immune receptor to create a lymphocyte niche during infection.
DOI: 10.15468/dl.bsp3qv
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Augochloropsis multiplex (Vachal, 1903)"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033449-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5tmf7
title: Occurrence Download

description: A dataset containing 2362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Molendoa sendtneriana (Bruch & Schimp.) Limpr."
 ]
}

 The dataset includes 2362 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033448-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r789600
title: Leveraging Landsat-8 for Advanced Classification and Monitoring of Coral Reefs and Crops

description: This collection of studies showcases the use of Landsat-8 imagery in diverse environmental and agricultural applications, from coral reef classification and monitoring to mapping rice planted areas and detecting crop diseases. These works highlight improved methodologies, such as soft supervised classification and vegetation gradient analysis, offering valuable tools for scientists, remote sensing professionals, and students. The research demonstrates how Landsat-8 can be effectively used for ecological monitoring, land use management, and crop health analysis, providing critical insights for future studies and practical applications.
DOI: 10.15468/rpympw
title: Projeto Conexão Mata Atlântica - Monitoramento Ecossistêmico - Fauna e Flora - Rio de Janeiro - Campanha 02

description: Projeto Conexão Mata Atlântica - Monitoramento Ecossistêmico - Fauna e Flora - Rio de Janeiro - Campanha 02 (2021).
O Projeto Conexão Mata Atlântica - Recuperação de Serviços de Clima e Biodiversidade no Corredor Sudeste da Mata Atlântica Brasileira - é uma iniciativa do governo federal, por meio do Ministério da Ciência, Tecnologia e Inovações (MCTI), e dos governos dos estados de São Paulo, Minas Gerais e Rio de Janeiro, com apoio técnico e financeiro do GEF/BID. Tem como objetivo recuperar e preservar serviços ecossistêmicos associados à biodiversidade e captura de carbono da floresta, a partir de uma abordagem de manejo sustentável da paisagem na região da bacia do rio Paraíba do Sul. Atua na promoção de atividades de restauração ecológica de florestas nativas e regeneração natural, com benefícios de captura e manutenção de estoques de carbono relacionados ao uso da terra, mudança do uso do solo e silvicultura, para incremento da biodiversidade.
DOI: 10.15468/dl.y4tt8q
title: Occurrence Download

description: A dataset containing 726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aedeomyia squamipennis (Lynch Arribálzaga, 1878)"
 ]
}

 The dataset includes 726 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033452-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbtaqc
title: Occurrence Download

description: A dataset containing 5523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Vigna subterranea (L.) Verdc."
 ]
}

 The dataset includes 5523 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033451-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8w22em
title: Occurrence Download

description: A dataset containing 5008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phascum cuspidatum Schreb. ex Hedw."
 ]
}

 The dataset includes 5008 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033450-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74zyht
title: Occurrence Download

description: A dataset containing 181816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.97442 42.10535,12.72394 47.90252,-7.72238 42.79112,-8.96156 31.86502,34.71923 29.19702,38.90144 36.6007,26.97442 42.10535))",
 "HasGeospatialIssue is false",
 "TaxonKey is Annelida"
 ]
}

 The dataset includes 181816 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033447-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14448585
title: augMENTOR-D1.2-RRI Survey Data M18

description: This dataset contains the responses to the RRI survey that took place on M18 (second round) for the project augMENTOR.

The data have been collected with the participants' informed consent. No personal or sensitive data were collected.

More information about the survey, the purpose and the results can be found in the deliverable D2.1 and D1.2 of the project.
DOI: 10.5281/zenodo.14448586
title: augMENTOR-D1.2-RRI Survey Data M18

description: This dataset contains the responses to the RRI survey that took place on M18 (second round) for the project augMENTOR.

The data have been collected with the participants' informed consent. No personal or sensitive data were collected.

More information about the survey, the purpose and the results can be found in the deliverable D2.1 and D1.2 of the project.
DOI: 10.15468/dl.2x6kpx
title: Occurrence Download

description: A dataset containing 11243 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurochaete squarrosa (Brid.) Lindb."
 ]
}

 The dataset includes 11243 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033455-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aynkk9
title: Occurrence Download

description: A dataset containing 3956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is EN",
 "OccurrenceStatus is Present",
 "Year 2000-2015"
 ]
}

 The dataset includes 3956 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033456-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14448612
title: Physico-chemical and microbiological composition of domestic effluents
DOI: 10.5281/zenodo.14448613
title: Physico-chemical and microbiological composition of domestic effluents
DOI: 10.15468/dl.dwe5j4
title: Occurrence Download

description: A dataset containing 44475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((7.08767 45.25103,7.46158 45.25103,7.46158 45.40176,7.08767 45.40176,7.08767 45.25103))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 44475 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033457-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10191872
title: DeepFake(face swapped) images using FFHQ dataset
DOI: 10.15468/dl.92n7rf
title: Occurrence Download

description: A dataset containing 44475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((7.08767 45.25103,7.46158 45.25103,7.46158 45.40176,7.08767 45.40176,7.08767 45.25103))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 44475 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033458-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1124041.10fu
title: SH1124041.10FU

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/sh1124044.10fu
title: SH1124044.10FU

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/sh1124049.10fu
title: SH1124049.10FU

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/sh1124050.10fu
title: SH1124050.10FU

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/sh1124056.10fu
title: SH1124056.10FU

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/sh1124058.10fu
title: SH1124058.10FU

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/sh1124060.10fu
title: SH1124060.10FU

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/sh1124061.10fu
title: SH1124061.10FU

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/sh1124063.10fu
title: SH1124063.10FU

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/sh1124064.10fu
title: SH1124064.10FU

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.