cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ctpa2c
title: Occurrence Download

description: A dataset listing the 85 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Culex Linnaeus, 1758, Culex quinquefasciatus Say, 1823, Culex pipiens Linnaeus, 1758)"
 ]
}

 The dataset's 85 records were derived from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006189-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14063806
title: stock_top_gainers_losers

description: • SYMBOL corresponde con las siglas del nombre del stock.• NAME corresponde con el nombre del stock.• Columna vacía, hace referencia a la gráfica del histórico de valores, en la siguiente fase de lapráctica se eliminará.• PRICE es el precio de una unidad de stock.• CHANGE es el cambio con respecto del anterior valor.• CHANGE % es el cambio porcentual con respecto al anterior valor.• VOLUME es la cantidad total de stock.• AVG VOLUME muestra el volumen promedio diario de acciones negociadas durante los últimostres meses.• MARKET CAP es el valor total de mercado de todas las acciones en circulación de unaempresa.• P/E RATIO (TTM): en inglés Price-to-Earnings Ratio, es la relación precio beneficio.• 52 Wk CHANGE %: cambio porcentual del valor en las últimas 52 semanas.• 52 Wk RANGE: representación gráfica del cambio en las últimas 52 semanas, el valor sale enblanco se eliminará posteriormente.• TYPE: si son los que más generan o los que menos.
DOI: 10.5281/zenodo.14063807
title: stock_top_gainers_losers

description: • SYMBOL corresponde con las siglas del nombre del stock.• NAME corresponde con el nombre del stock.• Columna vacía, hace referencia a la gráfica del histórico de valores, en la siguiente fase de lapráctica se eliminará.• PRICE es el precio de una unidad de stock.• CHANGE es el cambio con respecto del anterior valor.• CHANGE % es el cambio porcentual con respecto al anterior valor.• VOLUME es la cantidad total de stock.• AVG VOLUME muestra el volumen promedio diario de acciones negociadas durante los últimostres meses.• MARKET CAP es el valor total de mercado de todas las acciones en circulación de unaempresa.• P/E RATIO (TTM): en inglés Price-to-Earnings Ratio, es la relación precio beneficio.• 52 Wk CHANGE %: cambio porcentual del valor en las últimas 52 semanas.• 52 Wk RANGE: representación gráfica del cambio en las últimas 52 semanas, el valor sale enblanco se eliminará posteriormente.• TYPE: si son los que más generan o los que menos.
DOI: 10.15468/dl.vx2r45
title: Occurrence Download

description: A dataset containing 5078526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.13206 -0.65346,9.68103 -25.34222,25.17067 -19.62042,32.91549 10.89746,8.13206 -0.65346))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5078526 records from 1152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006186-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15164995
title: Data
DOI: 10.5281/zenodo.15164996
title: Data
DOI: 10.6084/m9.figshare.28738772
title: <b>Pliocene-Pleistocene weathering intensity in North China: links to temperature and Arctic ice volume</b>

description: The ZK01 core (88.48°E, 44.25°N) is located in the Junggar Basin along the northern foothills of the Tianshan Mountains in Fukang city, Xinjiang province. Previous lithological, grain size, and petrographic data have revealed that the sedimentary facies of the ZK01 core are predominantly eolian deposits, except for the top 0-75 meters and the middle section between 360-385 meters, which are influenced by local fluvial processes and are considered secondary eolian deposits. Wang et al. (2023) established a high-precision chronological framework for the core using magnetostratigraphy and astronomical tuning, determining that the core sediments from 0 to 425 meters span a duration from 232 ka to 3513 ka. For this study, we collected a total of 197 samples for whole rock mineralogical composition at ~2 m intervals (~16.6 kyr resolution). Semi-quantitative abundance of minerals was calculated by the weighted peak-area percentages of characteristic X-ray diffraction (XRD) peaks. Clay minerals are linked to continental crust weathering processes and are weakly impacted by postdeposition diagenesis and recycled clays; hence they are commonly used to reconstruct paleoclimate changes in geological time. Here, we use smectite/(illite+chlorite) reflect silicate weathering intensity.
DOI: 10.6084/m9.figshare.28738772.v1
title: <b>Pliocene-Pleistocene weathering intensity in North China: links to temperature and Arctic ice volume</b>

description: The ZK01 core (88.48°E, 44.25°N) is located in the Junggar Basin along the northern foothills of the Tianshan Mountains in Fukang city, Xinjiang province. Previous lithological, grain size, and petrographic data have revealed that the sedimentary facies of the ZK01 core are predominantly eolian deposits, except for the top 0-75 meters and the middle section between 360-385 meters, which are influenced by local fluvial processes and are considered secondary eolian deposits. Wang et al. (2023) established a high-precision chronological framework for the core using magnetostratigraphy and astronomical tuning, determining that the core sediments from 0 to 425 meters span a duration from 232 ka to 3513 ka. For this study, we collected a total of 197 samples for whole rock mineralogical composition at ~2 m intervals (~16.6 kyr resolution). Semi-quantitative abundance of minerals was calculated by the weighted peak-area percentages of characteristic X-ray diffraction (XRD) peaks. Clay minerals are linked to continental crust weathering processes and are weakly impacted by postdeposition diagenesis and recycled clays; hence they are commonly used to reconstruct paleoclimate changes in geological time. Here, we use smectite/(illite+chlorite) reflect silicate weathering intensity.
DOI: 10.5281/zenodo.14037336
title: Genetic Modulation of Protein Expression in Rat Brain

description: Genetic variations in protein expression are implicated in a broad spectrum of common diseases and complex traits. However, the fundamental genetic architecture and variation of protein expression have received comparatively less attention than either mRNA or classical phenotypes. In this study, we systematically quantified proteins in the brains of a large family of rats using tandem mass tag (TMT)-based quantitative mass-spectrometry (MS) technology. We identified and quantified a comprehensive proteome of 8,119 proteins from Spontaneously Hypertensive (SHR/Olalpcv), Brown Norway with polydactyly-luxate (BN-Lx/Cub), and 29 of their fully inbred HXB/BXH progeny. Differential expression (DE) analysis identified 597 proteins with significant differences in expression between the parental strains (fold change > 2 and FDR < 0.01). We characterized 95 variant peptides by proteogenomics approach and discovered 464 proteins linked to strong cis-acting quantitative trait loci (pQTLs, FDR < 0.05). We also explored the linkage of pQTLs with behavioral phenotypes in rats and examined the sex-specific pQTLs to reveal both distinct and shared cis-pQTLs between sexes. Furthermore, by creating a novel view of the rat pangenome, we improved the ability to pinpoint candidate genes underlying pQTL. Finally, we explored the connection between the pQTLs in rat and human disorders, underscoring the translational potential of our findings. Collectively, this work demonstrates the value of large and systematic proteo-genetic datasets in understanding protein modulation in the brain and its functional linkage to complex central nervous system (CNS) traits.
DOI: 10.5281/zenodo.14037337
title: Genetic Modulation of Protein Expression in Rat Brain

description: Genetic variations in protein expression are implicated in a broad spectrum of common diseases and complex traits. However, the fundamental genetic architecture and variation of protein expression have received comparatively less attention than either mRNA or classical phenotypes. In this study, we systematically quantified proteins in the brains of a large family of rats using tandem mass tag (TMT)-based quantitative mass-spectrometry (MS) technology. We identified and quantified a comprehensive proteome of 8,119 proteins from Spontaneously Hypertensive (SHR/Olalpcv), Brown Norway with polydactyly-luxate (BN-Lx/Cub), and 29 of their fully inbred HXB/BXH progeny. Differential expression (DE) analysis identified 597 proteins with significant differences in expression between the parental strains (fold change > 2 and FDR < 0.01). We characterized 95 variant peptides by proteogenomics approach and discovered 464 proteins linked to strong cis-acting quantitative trait loci (pQTLs, FDR < 0.05). We also explored the linkage of pQTLs with behavioral phenotypes in rats and examined the sex-specific pQTLs to reveal both distinct and shared cis-pQTLs between sexes. Furthermore, by creating a novel view of the rat pangenome, we improved the ability to pinpoint candidate genes underlying pQTL. Finally, we explored the connection between the pQTLs in rat and human disorders, underscoring the translational potential of our findings. Collectively, this work demonstrates the value of large and systematic proteo-genetic datasets in understanding protein modulation in the brain and its functional linkage to complex central nervous system (CNS) traits.
DOI: 10.5281/zenodo.14047911
title: Genetic Modulation of Protein Expression in Rat Brain

description: Genetic variations in protein expression are implicated in a broad spectrum of common diseases and complex traits. However, the fundamental genetic architecture and variation of protein expression have received comparatively less attention than either mRNA or classical phenotypes. In this study, we systematically quantified proteins in the brains of a large family of rats using tandem mass tag (TMT)-based quantitative mass-spectrometry (MS) technology. We identified and quantified a comprehensive proteome of 8,119 proteins from Spontaneously Hypertensive (SHR/Olalpcv), Brown Norway with polydactyly-luxate (BN-Lx/Cub), and 29 of their fully inbred HXB/BXH progeny. Differential expression (DE) analysis identified 597 proteins with significant differences in expression between the parental strains (fold change > 2 and FDR < 0.01). We characterized 95 variant peptides by proteogenomics approach and discovered 464 proteins linked to strong cis-acting quantitative trait loci (pQTLs, FDR < 0.05). We also explored the linkage of pQTLs with behavioral phenotypes in rats and examined the sex-specific pQTLs to reveal both distinct and shared cis-pQTLs between sexes. Furthermore, by creating a novel view of the rat pangenome, we improved the ability to pinpoint candidate genes underlying pQTL. Finally, we explored the connection between the pQTLs in rat and human disorders, underscoring the translational potential of our findings. Collectively, this work demonstrates the value of large and systematic proteo-genetic datasets in understanding protein modulation in the brain and its functional linkage to complex central nervous system (CNS) traits.
DOI: 10.15468/dl.bebu9p
title: Occurrence Download

description: A dataset containing 1118963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1118963 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164836-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0178142.10fu
title: SH0178142.10FU

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/sh0178143.10fu
title: SH0178143.10FU

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.18134602
title: Grain Size spatial data Bywater-Reyes et al. (2026) Resilient St Vrain Assessment

description: Dataset associated with Bywater-Reyes et al., 2026, Lessons Learned from a Post Flood-Reconstruction Project of an Urban Stream (Resilient St. Vrain, Longmont, Colorado, USA), Geomorphology

Wolman pebble count dataset. 

EPSG:4326 WGS 84 (World Geodetic System 1984)
DOI: 10.5281/zenodo.18134603
title: Grain Size spatial data Bywater-Reyes et al. (2026) Resilient St Vrain Assessment

description: Dataset associated with Bywater-Reyes et al., 2026, Lessons Learned from a Post Flood-Reconstruction Project of an Urban Stream (Resilient St. Vrain, Longmont, Colorado, USA), Geomorphology

Wolman pebble count dataset. 

EPSG:4326 WGS 84 (World Geodetic System 1984)
DOI: 10.15156/bio/sh0178144.10fu
title: SH0178144.10FU

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/sh0178145.10fu
title: SH0178145.10FU

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/sh0178146.10fu
title: SH0178146.10FU

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/sh0178147.10fu
title: SH0178147.10FU

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/sh0178148.10fu
title: SH0178148.10FU

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/sh0178149.10fu
title: SH0178149.10FU

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/sh0178150.10fu
title: SH0178150.10FU

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.