cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1097349.10fu
title: SH1097349.10FU

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/sh1097350.10fu
title: SH1097350.10FU

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/sh1097351.10fu
title: SH1097351.10FU

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/sh1097355.10fu
title: SH1097355.10FU

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.15177189
title: Proton Recoil Detector data for BABY-1L-run-3
DOI: 10.5281/zenodo.15177190
title: Proton Recoil Detector data for BABY-1L-run-3
DOI: 10.15468/dl.62mf3q
title: Occurrence Download

description: A dataset containing 3935 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morella pubescens (Humb. & Bonpl. ex Willd.) Wilbur"
 ]
}

 The dataset includes 3935 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008795-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ajqes
title: Occurrence Download

description: A dataset containing 7210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crioceris asparagi (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7210 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008796-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p98996ih
title: Contemporary fire history metrics for the conterminous United States (1984-2024) (ver. 4.0, March 2025)

description: Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 41-year period (1984-2024). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics were reported using years as the unit. The FRQ, TSLB and YLB metrics are useful across a wide range of fire regimes, and can be used to inform risk of wildfire, answer fire-management questions, or support fire model parameterization. The FIL and LFFI, alternatively, provide data on the distribution of fire events across the period of record and can help guide land management in regions with frequent fire, such as the Midwest and Southeast.
DOI: 10.15468/awtrqb
title: El cangrejo de río común (Austropotamobius italicus) en el Territorio Histórico de Alava - Sistema de Información de la Naturaleza de Euskadi
DOI: 10.15468/2rmy7j
title: Seguimiento y actualización de la distribución de cangrejo autóctono (Austropotamobius italicus) en Gipuzkoa - Sistema de Información de la Naturaleza de Euskadi

description: El presente trabajo incluye una recopilación de los estudios y seguimientos llevados a cabo con esta especie en Gipuzkoa desde los años noventa del pasado siglo hasta la actualidad y al mismo tiempo un exhaustivo inventario realizado durante el año 2022 y junio del 2023 en Gipuzkoa. Proyecto subvencionado: 2022 Subvenciones a personas, asociaciones, fundaciones y empresas que realicen proyectos para la generación de conocimiento en la conservación del Patrimonio Natural - Diversidad biológica y geológica - Euskadi.eus
DOI: 10.15468/t88vjs
title: Muestreo participativo de pico mediano en Álava y Gipuzkoa - Sistema de Información de la Naturaleza de Euskadi

description: En el marco de la acción 3.1 del proyecto Habios EFA 079/15, se ha propuesto actualizar y precisar el conocimiento sobre la distribución del pico mediano (Dendrocoptes medius) en el País Vasco (Álava y Gipuzkoa), muestreando con metodología específica masas forestales con hábitat potencial (robledales), periféricas al área de distribución conocida y/o con registros de presencia antigua o sin confirmar. Utilizando inventarios forestales, se identificaron cuadrículas UTM de 1 km2 que respondieran a esos criterios. Se efectuó un llamamiento a la participación de muestreadores voluntarios competentes en observación de pícidos. Se elaboró un protocolo de trabajo estandarizado, consensuado con el resto de socios de Habios implicados en la acción. Las cuadrículas seleccionadas fueron visitadas en febrero-abril de 2017 y 2018. Las cuadrículas se consideraron ocupadas por picos medianos territoriales si se comprobaba el emparejamiento o se registraba presencia de individuos en un mínimo de dos visitas, espaciadas al menos dos semanas entre sí. Diecisiete observadores participaron en el trabajo de campo, prospectando en total 95 cuadrículas UTM de 1 km2 y efectuando 335 estaciones de escucha. Se detectó la presencia de la especie en 29 cuadrículas, 19 de ellas con confirmación de territorialidad. Agregando la información de otros inventarios parciales recientes que aplicaron metodología específica (2012, 2015 y 2016), se planteó un modelo distributivo para el pico mediano que incluye un rango extenso y continuo en el SE de Álava, dos rangos discretos menores en Montes de Vitoria y Entzia, y otros con ocupación irregular (NE de Gipuzkoa), posiblemente condicionada por procesos de aislamiento por distancia respecto a poblaciones-fuente.
DOI: 10.15468/gg4qe6
title: Seguimiento de las poblaciones de flora vascular amenazada en la red Natura 2000 de Alava - Sistema de Información de la Naturaleza de Euskadi
DOI: 10.15468/dl.b9ara5
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is SANT-Algae",
 "TaxonKey is Phymatolithon lusitanicum V.Peña, 2015"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008791-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvaa3u
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cupressus austrotibetica Silba"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008797-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/37f9-1j65.84
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2025 - February 2025

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.15234593
title: Three-Dimensional Flow Structures and Turbulence Induced by a Bank-Attached Emergent Vegetation Patch in Open-Channel Flow

description: Velocity measurement data
DOI: 10.15468/dl.gjnt9x
title: Occurrence Download

description: A dataset containing 39215 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 Myodes rutilus"
 ]
}

 The dataset includes 39215 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001841-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8n755
title: Occurrence Download

description: A dataset containing 131466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia",
 "Year 1990-2025"
 ]
}

 The dataset includes 131466 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001830-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2596ww
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence datasets of Freshwater Snails (Gastropoda) of Kenya mobilized from the Zoological Collection of National Museums of Kenya, Nairobi and Literature"
 ]
}

 The dataset includes 203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001844-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.576xc8
title: Occurrence Download

description: A dataset containing 4 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 Myodes shanseius"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001845-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xar9c7
title: Occurrence Download

description: A dataset containing 3174 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)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Alphitobius diaperinus"
 ]
}

 The dataset includes 3174 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001846-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brfwmg
title: Occurrence Download

description: A dataset containing 1247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "CoordinateUncertaintyInMeters 10000.0-1000000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IsInCluster is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Erigeron bonariensis, Erigeron sumatrensis, Erigeron canadensis)",
 "Year 1900-2025"
 ]
}

 The dataset includes 1247 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001847-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17452135
title: Flow Measurements for Vegetation Patches in Open-Channel Flow
DOI: 10.5281/zenodo.17452136
title: Flow Measurements for Vegetation Patches in Open-Channel Flow
DOI: 10.15468/dl.zmhjfk
title: Occurrence Download

description: A dataset containing 35 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 Myodes smithii"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001848-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbk7d7
title: Occurrence Download

description: A dataset containing 1030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is one of (Karnataka, Maharashtra, Telangana, Andhra Pradesh)",
 "TaxonKey is Sarcogyps calvus"
 ]
}

 The dataset includes 1030 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001849-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtzbn2
title: Occurrence Download

description: A dataset containing 6173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea rubens",
 "Year 1980-2025"
 ]
}

 The dataset includes 6173 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001850-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx44nv
title: Occurrence Download

description: A dataset containing 43266 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 Neovison vison"
 ]
}

 The dataset includes 43266 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001851-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngvnsq
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 9879.0-1000000.0",
 "Geometry POLYGON((-132.20121 23.87693,-64.17504 23.87693,-64.17504 56.90413,-132.20121 56.90413,-132.20121 23.87693))",
 "TaxonKey is Bromus tectorum"
 ]
}

 The dataset includes 250 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001852-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhf9as
title: Occurrence Download

description: A dataset containing 3017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pterocarpus indicus"
 ]
}

 The dataset includes 3017 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001853-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdqfud
title: Occurrence Download

description: A dataset containing 40 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 Nycticebus pygmaeus"
 ]
}

 The dataset includes 40 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001855-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dahfv
title: Occurrence Download

description: A dataset containing 5640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-130.25215 25.84222,-58.59988 25.84222,-58.59988 51.1536,-130.25215 51.1536,-130.25215 25.84222))",
 "TaxonKey is Bromus tectorum"
 ]
}

 The dataset includes 5640 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001856-251025141854904/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/13514254
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.27022735
title: Chinese Mainland Annual Rainfall Erosivity Fusion Gridded Dataset (1983–2020)

description: The <i>Chinese Mainland Annual Rainfall Erosivity Fusion Gridded Dataset</i> is a long-term, high-resolution rainfall erosivity (RE) dataset covering 38 years (1983–2020). It aims to provide fundamental data support for studies on soil erosion, hydrological modeling, and ecological and environmental management. The dataset spans the period from 1983 to 2020, with a spatial resolution of 0.25° × 0.25°.During dataset construction, observational data from more than 545 meteorological stations across China were used as reference data. The <b>Extra Trees Regression (ETR)</b> machine learning model was employed to fuse annual rainfall erosivity estimates derived from five commonly used gridded daily precipitation datasets. The estimation of rainfall erosivity followed the method proposed by Xie et al. (2016):Xie, Y., Yin, S.-q., Liu, B.-y., Nearing, M.A., Zhao, Y. (2016). <i>Models for estimating daily rainfall erosivity in China.</i> <i>Journal of Hydrology</i>, 535, 547–558. https://doi.org/10.1016/j.jhydrol.2016.02.020The five precipitation datasets used for fusion include:<b>Satellite-based precipitation products:</b> CHIRPS;<b>Gauge-interpolated precipitation products:</b> CN05.1, CHM, CPC;<b>Reanalysis precipitation product:</b> ERA5.The annual rainfall erosivity data were generated by fusing CHIRPS, CPC, CN05.1, CHM, and ERA5 datasets using the ETR model. Each file is named <b>“RE_yyyy”</b>, where <i>yyyy</i> denotes the corresponding year (1983–2020).The dataset provides rainfall erosivity values for three rainfall intensity categories:<b>Moderate RE:</b> calculated from daily rainfall between 10 and 24.9 mm;<b>Large RE:</b> calculated from daily rainfall between 25 and 49.9 mm;<b>Heavy RE:</b> calculated from daily rainfall greater than or equal to 50 mm.This dataset integrates the strengths of multiple precipitation products—combining the spatial continuity of satellite data, the local accuracy of ground-based observations, and the physical consistency of reanalysis data. It provides high-precision rainfall erosivity information for studies of soil erosion across regions with diverse climatic and topographic conditions in China.