cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1499483.08fu
title: SH1499483.08FU

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/sh1499484.08fu
title: SH1499484.08FU

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: 10.34740/kaggle/dsv/3722930
title: Russian Invasion of Ukraine
DOI: 10.15468/dl.zgz72p
title: Occurrence Download

description: A dataset containing 27086 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Scopula immutata (Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 27086 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083394-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4d8r3
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083395-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26825428
title: Data & R code

description: The dataset include biomass data, interaction coefficients, omega, asymmetry index for all possible communities, and exclusion probability for each species, as well as includes all relevant data and R code for replication of the study results. The meanings of the variable names, please refer to the “<b><i>Annotation explanation</i></b>”
DOI: 10.6084/m9.figshare.26825428.v1
title: Data & R code

description: The dataset include biomass data, interaction coefficients, omega, asymmetry index for all possible communities, and exclusion probability for each species, as well as includes all relevant data and R code for replication of the study results. The meanings of the variable names, please refer to the “<b><i>Annotation explanation</i></b>”
DOI: 10.6084/m9.figshare.26825428.v2
title: Data & R code

description: The dataset include biomass data, interaction coefficients, omega, asymmetry index for all possible communities, and exclusion probability for each species, as well as includes all relevant data and R code for replication of the study results. The meanings of the variable names, please refer to the “<b><i>Annotation explanation</i></b>”
DOI: 10.15468/dl.qa8jm8
title: Occurrence Download

description: A dataset containing 35011 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Siona lineata (Scopoli, 1763)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 35011 records from 462 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083396-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sk7kv
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083397-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26797669
title: <b>Enriching Fish Scale Flour with Squid Oil and Freshwater Pangasius Catfish Oil: Impact on Proximate Composition, Fatty Acids, and Amino Acids</b>

description: Fish scale waste is abundant across local markets in Indonesia, including from the annual mass mortality of carp (Cyprinus carpio) in Lake Maninjau, but lacks optimal usage as an economical feed ingredient for fry. Therefore, this study aims to determine the proximate composition, fatty acids, and amino acids in fish scale flour enriched with marine squid oil (MSO) and freshwater pangasius catfish oil (FPO) at different doses of 0, 2, 4, and 6%. The proximate composition was analyzed using the standard AOAC method, while amino and fatty acids were assessed with high-performance liquid chromatography (HPLC) and gas chromatography-spectrometry (GC-MS). The results showed that fish scale flour enriched with MSO and FPO at different level had protein ranging from 67.25 - 67.75% and 67.72 - 68.27% as well as fat content of 0.23 - 2.38% and 0.23 - 2.32%, respectively. Additionally, both flour variants contained 11.64 - 16.77% and 33.92 - 40.03% saturated fatty acids (SFAs), 6.60 - 10.25% and 15.07 - 16.08% monounsaturated fatty acids (MUFAs), 10.13 - 20.20% and 4.32 - 4.16% polyunsaturated fatty acids (PUFAs), as well as 56.44 - 59.09% and 65.01 - 66.48% total free amino acids (FAAs), respectively. The higher levels of PUFAs, specifically eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in the flour enriched with MSO signified that this feed ingredient comprised a healthier fat profile and was more optimal in supporting fry growth, thereby benefiting the general fish health.
DOI: 10.6084/m9.figshare.26797669.v1
title: <b>Enriching Fish Scale Flour with Squid Oil and Freshwater Pangasius Catfish Oil: Impact on Proximate Composition, Fatty Acids, and Amino Acids</b>

description: Fish scale waste is abundant across local markets in Indonesia, including from the annual mass mortality of carp (Cyprinus carpio) in Lake Maninjau, but lacks optimal usage as an economical feed ingredient for fry. Therefore, this study aims to determine the proximate composition, fatty acids, and amino acids in fish scale flour enriched with marine squid oil (MSO) and freshwater pangasius catfish oil (FPO) at different doses of 0, 2, 4, and 6%. The proximate composition was analyzed using the standard AOAC method, while amino and fatty acids were assessed with high-performance liquid chromatography (HPLC) and gas chromatography-spectrometry (GC-MS). The results showed that fish scale flour enriched with MSO and FPO at different level had protein ranging from 67.25 - 67.75% and 67.72 - 68.27% as well as fat content of 0.23 - 2.38% and 0.23 - 2.32%, respectively. Additionally, both flour variants contained 11.64 - 16.77% and 33.92 - 40.03% saturated fatty acids (SFAs), 6.60 - 10.25% and 15.07 - 16.08% monounsaturated fatty acids (MUFAs), 10.13 - 20.20% and 4.32 - 4.16% polyunsaturated fatty acids (PUFAs), as well as 56.44 - 59.09% and 65.01 - 66.48% total free amino acids (FAAs), respectively. The higher levels of PUFAs, specifically eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in the flour enriched with MSO signified that this feed ingredient comprised a healthier fat profile and was more optimal in supporting fry growth, thereby benefiting the general fish health.
DOI: 10.15468/dl.7hczvh
title: Occurrence Download

description: A dataset containing 56670 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geometra papilionaria (Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 56670 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083398-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjnyb9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((100.09302325581396 1.7718023255813904,104.09302325581396 1.7718023255813904,104.09302325581396 5.77180232558139,100.09302325581396 5.77180232558139,100.09302325581396 1.7718023255813904))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tapirus indicus Desmarest, 1819",
 "Year 2024-2024"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083400-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7z4v4
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083399-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d73c2z
title: Occurrence Download

description: A dataset containing 18973 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lobophora halterata (Hufnagel, 1767)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 18973 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083401-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5439/1995940
title: mmcrmode03v0021cloth (c1)

description: mmcrmode03v0021cloth
DOI: 10.5439/1995941
title: mmcrmode03v0011cloth (c1)

description: mmcrmode03v0011cloth
DOI: 10.5439/1995942
title: mmcrmode02v0021cloth (c1)

description: mmcrmode02v0021cloth
DOI: 10.5439/1995943
title: mmcrmode01v0021cloth (c1)

description: mmcrmode01v0021cloth
DOI: 10.5439/1995944
title: mfrsraod1mich (s1)

description: mfrsraod1mich
DOI: 10.5439/1995945
title: 15swfcldgrid1long (c1)

description: 15swfcldgrid1long
DOI: 10.5439/1995946
title: 15swfcldfac1long (s1)

description: 15swfcldfac1long
DOI: 10.5439/1995947
title: 15swfcldfac1long (c1)

description: 15swfcldfac1long
DOI: 10.5439/1995948
title: acred (c1)

description: acred
DOI: 10.5439/1995949
title: mmcrmode01v0051cloth (c1)

description: mmcrmode01v0051cloth
DOI: 10.57841/casdc.0001899
title: 胆固醇衍生离子液体复合氮化硼纳米片作为减摩抗磨添加剂的性能研究
DOI: 10.26188/23983911
title: eMelbourne - The Encyclopedia of Melbourne Online

description: eMelbourne is a biographical, bibliographical and archival database about Melbourne, Victoria, Australia, with links to related articles and images.For more information about the project and how to work with the data see https://melbourne.figshare.com/collections/Online_Heritage_Resource_Manager_OHRM_Datasets_transformed_to_Research_Object_Crate_as_part_of_the_Describo_Collections_Integration_Project_funded_by_the_ARDC_/6795084
DOI: 10.6084/m9.figshare.24012879
title: Te17S22XY_PAV_94_accessions.vcf.gz

description: This is a PAV genotype of 94 <i>Spinacia</i> accessions.
DOI: 10.6084/m9.figshare.24012879.v1
title: Te17S22XY_PAV_94_accessions.vcf.gz

description: This is a PAV genotype of 94 <i>Spinacia</i> accessions.
DOI: 10.18112/openneuro.ds004710.v1.1.0
title: Next Generation MRI scanner designed for ultra-high resolution human brain imaging at 7-Tesla
DOI: 10.5281/zenodo.8231527
title: CoffeeWKG (2006-2020)

description: A knowledge graph for meteorological conditions in Colombia's coffee regions created from data extracted from FNC yearbooks available at: https://www.cenicafe.org/es/index.php/nuestras\_publicaciones/anuarios\_meteorologicos
DOI: 10.5281/zenodo.8231528
title: CoffeeWKG (2006-2020)

description: A knowledge graph for meteorological conditions in Colombia's coffee regions created from data extracted from FNC yearbooks available at: https://www.cenicafe.org/es/index.php/nuestras\_publicaciones/anuarios\_meteorologicos
DOI: 10.5281/zenodo.8237867
title: CoffeeWKG (2006-2020)

description: A knowledge graph for meteorological conditions in Colombia's coffee regions created from data extracted from FNC yearbooks available at: https://www.cenicafe.org/es/index.php/nuestras\_publicaciones/anuarios\_meteorologicos
DOI: 10.5281/zenodo.8273938
title: data tomatoes

description: MAS datos
DOI: 10.5281/zenodo.8273937
title: data tomatoes

description: MAS datos
DOI: 10.5281/zenodo.8275076
title: rMATS analysis of alternative splicing events in a mouse model of environmental liver disease

description: rMATS (https://rnaseq-mats.sourceforge.io/) was used to identify differential alternative splicing events (ASEs) corresponding to all five major types of AS patterns, <em>i.e</em>., skipped exon (SE), mutually exclusive exons (MXE), alternative 3’ splice site (A3SS), alternative 5’ splice site (A5SS), and retained intron (RI), in the HFD-fed mouse livers exposed to Ar1260, PCB126, or Ar1260 + PCB126 co-exposure compared to vehicle control This dataset identifies differential ASEs corresponding to all five major types of AS patterns [<em>i.e.,</em> skipped exon (SE), mutually exclusive exons (MXE), alternative 3’ splice site (A3’SS), alternative 5’ splice site (A5’SS), and retained intron (RI)], between Ar1260, PCB126, and Ar1260 + PCB126-exposed samples and vehicle control. For each ASE, the estimation of the alternatively spliced region usage is defined as percent-spliced in (ψ or PSI). Each comparison was made to identify differential ASEs with an associated change in exon usage (∆ψ). Differential ASEs were detected with an FDR of &lt;0.05 and |∆ψ| of≥5%. The difference in the proportion of the two isoforms of the transcript was expressed as the change in mean percentage spliced-inform included (mean ∆ψ).
DOI: 10.5281/zenodo.8275075
title: rMATS analysis of alternative splicing events in a mouse model of environmental liver disease

description: rMATS (https://rnaseq-mats.sourceforge.io/) was used to identify differential alternative splicing events (ASEs) corresponding to all five major types of AS patterns, <em>i.e</em>., skipped exon (SE), mutually exclusive exons (MXE), alternative 3’ splice site (A3SS), alternative 5’ splice site (A5SS), and retained intron (RI), in the HFD-fed mouse livers exposed to Ar1260, PCB126, or Ar1260 + PCB126 co-exposure compared to vehicle control This dataset identifies differential ASEs corresponding to all five major types of AS patterns [<em>i.e.,</em> skipped exon (SE), mutually exclusive exons (MXE), alternative 3’ splice site (A3’SS), alternative 5’ splice site (A5’SS), and retained intron (RI)], between Ar1260, PCB126, and Ar1260 + PCB126-exposed samples and vehicle control. For each ASE, the estimation of the alternatively spliced region usage is defined as percent-spliced in (ψ or PSI). Each comparison was made to identify differential ASEs with an associated change in exon usage (∆ψ). Differential ASEs were detected with an FDR of &lt;0.05 and |∆ψ| of≥5%. The difference in the proportion of the two isoforms of the transcript was expressed as the change in mean percentage spliced-inform included (mean ∆ψ).
DOI: 10.6084/m9.figshare.22721065
title: Effects of seed traits on the cache size of a scatter-hoarding rodent, Leopoldamys edwardsi

description: We analyzed the effects of seed traits on the cache size of a scatter-hoarding rodent, Leopoldamys edwardsi
DOI: 10.6084/m9.figshare.22721065.v5
title: Effects of seed traits on the cache size of a scatter-hoarding rodent, Leopoldamys edwardsi

description: We analyzed the effects of seed traits on the cache size of a scatter-hoarding rodent, Leopoldamys edwardsi
DOI: 10.6084/m9.figshare.24002166
title: Behavioral database: "Nutritional ecology of howler monkeys in montane forest: strategies to cope the spatial distribution and scarcity of food"

description: Description per column:Troop: the study groupID: the name assigned to each individualForest: name assigned to each forest fragmentMonth: months of the studyDate: date of the samplingH.start: start time of each activityH.final: final hour of each activityMin: Minutes of duration in hour formatMinT: Minutes of duration in integerBehavior: each common behavior in primates (feeding, resting, movement, locomotion, social)Activity: subcategory of each behaviorItem: item ingested in the feeding activityContact the authors for further information.
DOI: 10.6084/m9.figshare.24002166.v1
title: Behavioral database: "Nutritional ecology of howler monkeys in montane forest: strategies to cope the spatial distribution and scarcity of food"

description: Description per column:Troop: the study groupID: the name assigned to each individualForest: name assigned to each forest fragmentMonth: months of the studyDate: date of the samplingH.start: start time of each activityH.final: final hour of each activityMin: Minutes of duration in hour formatMinT: Minutes of duration in integerBehavior: each common behavior in primates (feeding, resting, movement, locomotion, social)Activity: subcategory of each behaviorItem: item ingested in the feeding activityContact the authors for further information.
DOI: 10.5281/zenodo.8274425
title: Himachal Diabetes Dataset

description: The dataset comprises the sensor voltages obtained by processing breath samples of 100 patients (62 diabetic and 38 non-diabetic) from a reputed national hospital. It also contains the body vital information of these patients. We use this dataset for training ML models for Diabetes Detection task.
DOI: 10.5281/zenodo.8274426
title: Himachal Diabetes Dataset

description: The dataset comprises the sensor voltages obtained by processing breath samples of 100 patients (62 diabetic and 38 non-diabetic) from a reputed national hospital. It also contains the body vital information of these patients. We use this dataset for training ML models for Diabetes Detection task.
DOI: 10.6084/m9.figshare.23304167
title: Data from: Swirling flight of a seabird caught in a huge typhoon high over mainland Japan

description: The raw trajectory data (latitude, longitude, and altitude) recorded for a streaked shearwater (Calonectris leucomelas) caught in a huge typhoon.
DOI: 10.6084/m9.figshare.24013149
title: Open Streets and Safegraph Mobility Data

description: The dataset features SafeGraph data that measures foot-traffic mobility changes around Open Streets in New York City during Covid-19. In addition to the raw counts of visitors to each POI during the week. It contains weekly pattern data collected between May 2nd, 2020, to July 28th , 2021. The point-level POI data is aggregated to census block group neighborhood-level data to maintain a standard level of resolution for all data used for this study. The Open Streets have been manually geocoded in Google Earth and imported the KMZ data as a shapefile into ArcGIS. Once in ArcGIS, the locations of the Open Streets were matched to CBGs, which either bound or intersect with the Open Streets. Since the Open Streets vary in opening dates, we consider the week that a street first opens as an Open Street as Week 0 for each street. For each observation, we consider the time series data three weeks before the week of opening date (Week 0) and six weeks after as our observation period. To create a control sample, we draw a 1 mile buffer area around each Open Street in ArcGIS to minimize spillover effects, and randomly select a CBG that sits outside this buffer area and pair it with each observation. The buffer takes into account the spatial effects an Open Street is likely to have on surrounding neighborhoods, such that a neighborhood that is within a 15-20 minute walk of an Open Street may see increase in walking behaviors after the introduction of the Open Streets Program, even if the Open Street is not located directly within the CBG. <br>