cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0186795.10fu
title: SH0186795.10FU

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.bz6ze3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((77.780328 19.788267, 77.705687 19.782691, 77.63289899999999 19.766101, 77.56377000000001 19.738909, 77.500012 19.70179, 77.443203 19.655664, 77.394744 19.601673, 77.355825 19.541155, 77.327398 19.475605, 77.31014999999999 19.406643, 77.30449400000001 19.33597, 77.31055499999999 19.265326, 77.32816699999999 19.196451, 77.35688399999999 19.131036, 77.395989 19.070688, 77.444512 19.016886, 77.501257 18.970948, 77.56482800000001 18.933999, 77.633668 18.906942, 77.706091 18.890439, 77.780328 18.884893, 77.85456499999999 18.890439, 77.92698799999999 18.906942, 77.995828 18.933999, 78.059399 18.970948, 78.11614400000001 19.016886, 78.16466699999999 19.070688, 78.203772 19.131036, 78.232489 19.196451, 78.250101 19.265326, 78.256162 19.33597, 78.250506 19.406643, 78.23325800000001 19.475605, 78.204831 19.541155, 78.16591200000001 19.601673, 78.117453 19.655664, 78.060644 19.70179, 77.996886 19.738909, 77.927757 19.766101, 77.854969 19.782691, 77.780328 19.788267))"},{"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/0001859-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0186796.10fu
title: SH0186796.10FU

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/sh0186797.10fu
title: SH0186797.10FU

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: 10.7910/dvn/dslb3p
title: US Geological Survey (USGS) Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30 m Version 3 (GFCC30TCv003)

description: The Global Forest Cover Change (GFCC), Tree Cover Multi-Year Global dataset contains tree canopy land cover data for the contiguous United States. The data are derived from satellite-based land imagery and are provided every 5 years from 2000-2015 at 30 m resolution.
description: <b>Intended Use</b>Geospatial exposure assessment for public health studies on longer-term outcomesGeospatial exposure assessment at the individual-level or population-levelGeospatial exposure model development<br><b>Strengths</b>Dataset supports analysis of variation in tree canopy cover across global locations and multiple time-points in a consistent wayData quality information (i.e., error estimates) provided for tree canopy coverDataset supports analysis of finely-resolved spatial variation (e.g., within-neighborhood differences) in tree canopy cover<br><b>Suggested Audience</b>Researcher<br>
DOI: 10.15156/bio/sh0186798.10fu
title: SH0186798.10FU

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/sh0186799.10fu
title: SH0186799.10FU

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/sh0186800.10fu
title: SH0186800.10FU

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/sh0186801.10fu
title: SH0186801.10FU

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/sh0186802.10fu
title: SH0186802.10FU

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/sh0186803.10fu
title: SH0186803.10FU

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: 10.6084/m9.figshare.29410788
title: Identification of core noncoding RNA-associated competing endogenous RNA networks in renal fibrosis via whole-transcriptome sequencing

description: This study aimed to investigate noncoding RNA (ncRNA) expression changes in renal fibrosis (RF) models induced by three distinct etiologies using whole-transcriptome RNA sequencing, identify overlapping differentially expressed (DE) ncRNAs, construct core competing endogenous RNA (ceRNA) networks, and explore their role in RF. Three RF rat models, 5/6 nephrectomy, adenine, and unilateral ureteral obstruction, were established. DE RNAs were identified through sequencing and validated by real-time quantitative polymerase chain reaction. ceRNA and RNA-binding protein (RBP) networks were visualized using Cytoscape. Core ceRNA axes were validated with dual-luciferase assay, RNA fluorescence <i>in situ</i> hybridization, western blot, immunofluorescence, and immunohistochemistry. Enrichment analysis was performed to explore potential functions. Sequencing analysis revealed significant dysregulation of ncRNAs in all models compared to the normal group. Intersection analysis identified 215 mRNAs, 19 lncRNAs, and 247 circRNAs as overlapping DE RNAs. lncRNA-based ceRNA networks comprising 7 lncRNAs, 8 miRNAs, and 21 mRNAs, and circRNA-based networks comprising 13 circRNAs, 29 miRNAs, and 41 mRNAs were constructed. The TCONS_00008870/circRNA_3140–miR-466b-3p–Adamts2 axis was identified as a key regulatory pathway. Enrichment analysis showed significant pathways including Rap1 signaling, extracellular matrix–receptor interaction, and PI3K-Akt signaling, with RBPs enriched in RNA binding and ferroptosis. By integrating data from three distinct models, we identified conserved ceRNA axis—TCONS_00008870/circRNA_3140–miR-466b-3p–Adamts2—potentially modulating fibrotic progression in renal tissue.
DOI: 10.6084/m9.figshare.29410788.v1
title: Identification of core noncoding RNA-associated competing endogenous RNA networks in renal fibrosis via whole-transcriptome sequencing

description: This study aimed to investigate noncoding RNA (ncRNA) expression changes in renal fibrosis (RF) models induced by three distinct etiologies using whole-transcriptome RNA sequencing, identify overlapping differentially expressed (DE) ncRNAs, construct core competing endogenous RNA (ceRNA) networks, and explore their role in RF. Three RF rat models, 5/6 nephrectomy, adenine, and unilateral ureteral obstruction, were established. DE RNAs were identified through sequencing and validated by real-time quantitative polymerase chain reaction. ceRNA and RNA-binding protein (RBP) networks were visualized using Cytoscape. Core ceRNA axes were validated with dual-luciferase assay, RNA fluorescence <i>in situ</i> hybridization, western blot, immunofluorescence, and immunohistochemistry. Enrichment analysis was performed to explore potential functions. Sequencing analysis revealed significant dysregulation of ncRNAs in all models compared to the normal group. Intersection analysis identified 215 mRNAs, 19 lncRNAs, and 247 circRNAs as overlapping DE RNAs. lncRNA-based ceRNA networks comprising 7 lncRNAs, 8 miRNAs, and 21 mRNAs, and circRNA-based networks comprising 13 circRNAs, 29 miRNAs, and 41 mRNAs were constructed. The TCONS_00008870/circRNA_3140–miR-466b-3p–Adamts2 axis was identified as a key regulatory pathway. Enrichment analysis showed significant pathways including Rap1 signaling, extracellular matrix–receptor interaction, and PI3K-Akt signaling, with RBPs enriched in RNA binding and ferroptosis. By integrating data from three distinct models, we identified conserved ceRNA axis—TCONS_00008870/circRNA_3140–miR-466b-3p–Adamts2—potentially modulating fibrotic progression in renal tissue.
DOI: 10.6084/m9.figshare.29410949
title: Seasonal variations in acute kidney injury incidence and outcomes: a multicenter prospective observational study highlighting socioeconomic disparities

description: Kuwait experiences cool winters and hot summers. We evaluated the impact of ambient temperature in these two seasons on acute kidney injury (AKI) incidence and outcomes, and assessed difference between Kuwaitis and non-Kuwaitis. Clinical and 30-day outcome data from AKI patients who were admitted to seven public hospitals during winter and summer of 2021 were prospectively collected. Total number of AKI cases during both seasons was 1,493. Incidence was same in both seasons (50.0% each). Kuwaitis accounted for 56.7% of cases. Most AKI cases for Kuwaitis occurred in winter (52.4%), while most for non-Kuwaitis occurred in summer (53.2%). AKI patients in winter were significantly older (64.8 vs. 62.0 years, <i>p</i> = 0.001), had lower baseline eGFR (57.7 vs. 69.4 mL/min/1.73 m<sup>2</sup>, <i>p</i> &lt; 0.001), and had more cardiovascular (60.1% vs. 50.6%, <i>p</i> &lt; 0.001), and chronic kidney diseases (59.3% vs. 43.6%, <i>p</i> &lt; 0.001). Fluid utilization was higher in summer (83.1% vs. 75.3%, <i>p</i> &lt; 0.001). No difference in mechanical ventilation and dialysis reported. Dialysis utilized slightly more frequently in summer (24.8% vs. 27.3%, <i>p</i> = 0.6), with significantly higher dialysis utilization for non-Kuwaitis in summer (30.6% vs. 23.0% for Kuwaitis, <i>p</i> &lt; 0.001). Mortality rate was 26.1%, and complete kidney recovery occurred in 56.1% of cases with no difference between groups. No seasonal variations in AKI incidence, dialysis need, or mortality rate. In winter, AKI occurred more in older with more comorbidities among Kuwaitis but better socioeconomically, while in summer, AKI occurred more in younger, healthier non-Kuwaitis but socioeconomically disadvantaged. This study attempts to describe the variation in the incidence rates and the outcomes of acute kidney injury in Kuwait, which has a very hot summer and a cool winter. We found no difference in the incidence or outcome of acute kidney injury between the hot summer months and the cool winter months; however, we found acute kidney injury to affect the younger and healthier non-Kuwaitis more frequently in the summer and the older Kuwaitis who have more comorbidities more frequently in the winter. We also found that dialysis was more frequently needed in the summer, especially for non-Kuwaitis.
DOI: 10.6084/m9.figshare.29410949.v1
title: Seasonal variations in acute kidney injury incidence and outcomes: a multicenter prospective observational study highlighting socioeconomic disparities

description: Kuwait experiences cool winters and hot summers. We evaluated the impact of ambient temperature in these two seasons on acute kidney injury (AKI) incidence and outcomes, and assessed difference between Kuwaitis and non-Kuwaitis. Clinical and 30-day outcome data from AKI patients who were admitted to seven public hospitals during winter and summer of 2021 were prospectively collected. Total number of AKI cases during both seasons was 1,493. Incidence was same in both seasons (50.0% each). Kuwaitis accounted for 56.7% of cases. Most AKI cases for Kuwaitis occurred in winter (52.4%), while most for non-Kuwaitis occurred in summer (53.2%). AKI patients in winter were significantly older (64.8 vs. 62.0 years, <i>p</i> = 0.001), had lower baseline eGFR (57.7 vs. 69.4 mL/min/1.73 m<sup>2</sup>, <i>p</i> &lt; 0.001), and had more cardiovascular (60.1% vs. 50.6%, <i>p</i> &lt; 0.001), and chronic kidney diseases (59.3% vs. 43.6%, <i>p</i> &lt; 0.001). Fluid utilization was higher in summer (83.1% vs. 75.3%, <i>p</i> &lt; 0.001). No difference in mechanical ventilation and dialysis reported. Dialysis utilized slightly more frequently in summer (24.8% vs. 27.3%, <i>p</i> = 0.6), with significantly higher dialysis utilization for non-Kuwaitis in summer (30.6% vs. 23.0% for Kuwaitis, <i>p</i> &lt; 0.001). Mortality rate was 26.1%, and complete kidney recovery occurred in 56.1% of cases with no difference between groups. No seasonal variations in AKI incidence, dialysis need, or mortality rate. In winter, AKI occurred more in older with more comorbidities among Kuwaitis but better socioeconomically, while in summer, AKI occurred more in younger, healthier non-Kuwaitis but socioeconomically disadvantaged. This study attempts to describe the variation in the incidence rates and the outcomes of acute kidney injury in Kuwait, which has a very hot summer and a cool winter. We found no difference in the incidence or outcome of acute kidney injury between the hot summer months and the cool winter months; however, we found acute kidney injury to affect the younger and healthier non-Kuwaitis more frequently in the summer and the older Kuwaitis who have more comorbidities more frequently in the winter. We also found that dialysis was more frequently needed in the summer, especially for non-Kuwaitis.
DOI: 10.15468/dl.mhrhqr
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.18_2",
 "TaxonKey is Epicrates maurus Gray, 1849"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020560-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w64qnk
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Glossophaga soricina (Pallas, 1766)",
 "Year 2023-2023"
 ]
}

 The dataset includes 155 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020561-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyhtvj
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "TaxonKey is Ophiocordyceps sinensis (Berk.) G.H.Sung, J.M.Sung, Hywel-Jones & Spatafora"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020563-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mq2uz7
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Glossophaga soricina (Pallas, 1766)",
 "Year 2024-2024"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020564-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.