cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24792442.v1
title: Additional file 2 of Genetic insights into the association of statin and newer nonstatin drug target genes with human longevity: a Mendelian randomization analysis

description: Additional file 2: Table S2. Date resources of the exposures and outcomes used in this study. Table S3. The instrumental variables used for circulating lipids in the discovery datasets. Table S4. The instrumental variables used for circulating lipids in the validation datasets. Table S5. Association of circulating lipids with human Lifespan in the discovery and validation datasets. Table S6. Genetically instrumented lipid-lowering genetics variants of target genes in discovery datasets. Table S7. Genetically instrumented lipid-lowering genetics variants of target genes in validation datasets. Table S8. Effects of genetically proxied lipid-lowering variants on Human lifespan. Table S9. Results of heterogeneity and pleiotropy tests for the causal effects of circulating Lipids on human lifespan. Table S10. Sensitivity analysis using different LD r2 thresholds of the Lipid-lowering gene variants. Table S11. Statistical power for drug-target MR analyses. Table S12. Genetic association between the expression of lipid-lowering drug target genes in tissues and human lifespan. Table S13. Colocalization analysis for the serum LDLR expression on Human Lifespan.
DOI: 10.1594/pangaea.323130
title: Water temperature and salinity real-time profiles from cruise 1335500 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323198
title: Water temperature and salinity real-time profiles from cruise 4187400 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323093
title: Water temperature real-time profiles from cruise NDQV99 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323357
title: Water temperature and salinity CTD profiles from cruise 18PZ96024 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323131
title: Water temperature and salinity real-time profiles from cruise 1335600 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323358
title: Water temperature and salinity CTD profiles from cruise 18PZ96027 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323199
title: Water temperature and salinity real-time profiles from cruise 4187500 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323094
title: Water temperature real-time profiles from cruise NFBS99 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323098
title: Water temperature real-time profiles from cruise NJFL99 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323200
title: Water temperature and salinity real-time profiles from cruise 4187800 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323359
title: Water temperature and salinity CTD profiles from cruise 18PZ96032 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323132
title: Water temperature and salinity real-time profiles from cruise 1335699 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323365
title: Water temperature and salinity bottle samples from cruise 18NE96001 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323133
title: Water temperature and salinity real-time profiles from cruise 1385700 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323201
title: Water temperature and salinity real-time profiles from cruise 4188000 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323099
title: Water temperature real-time profiles from cruise NNJB99 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323134
title: Water temperature and salinity real-time profiles from cruise 1385898 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323366
title: Water temperature and salinity bottle samples from cruise 18NE96002 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323202
title: Water temperature and salinity real-time profiles from cruise 4188099 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323367
title: Water temperature and salinity bottle samples from cruise 18NE96003 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323135
title: Water temperature and salinity real-time profiles from cruise 1385900 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323137
title: Water temperature and salinity real-time profiles from cruise 1386298 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323368
title: Water temperature and salinity bottle samples from cruise 18NE96004 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323152
title: Water temperature and salinity real-time profiles from cruise 1900099 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323203
title: Water temperature and salinity real-time profiles from cruise 4188100 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323066
title: Water temperature real-time profiles from cruise 6273499 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323204
title: Water temperature and salinity real-time profiles from cruise 4188199 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323153
title: Water temperature and salinity real-time profiles from cruise 1900100 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323156
title: Water temperature and salinity real-time profiles from cruise 1900300 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323074
title: Water temperature real-time profiles from cruise ELVZ600 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323205
title: Water temperature and salinity real-time profiles from cruise 4188398 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323206
title: Water temperature and salinity real-time profiles from cruise 4188399 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323207
title: Water temperature and salinity real-time profiles from cruise 4188499 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323075
title: Water temperature real-time profiles from cruise EVL0399 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323208
title: Water temperature and salinity real-time profiles from cruise 4188500 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323077
title: Water temperature real-time profiles from cruise GDLS99 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323209
title: Water temperature and salinity real-time profiles from cruise 4188599 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.322966
title: Water temperature BT profiles from cruise 18OK96004 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323060
title: Water temperature real-time profiles from cruise 1500499 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.322968
title: Water temperature BT profiles from cruise 18OK96008 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.323018
title: Water temperature XBT profiles from cruise FNAV99 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.6084/m9.figshare.27088648.v4
title: <b>Differential DNA methylation is associated with coat color in Alaskan coastal wolves (</b><b><i>Canis lupus ligoni</i></b><b>)</b>

description: In North America, wolves generally have either gray or black coats, and the proportions of these colors vary across populations. Coat color is an important signal of individual condition and immunological status in wolves. Yet, the molecular mechanisms underpinning variation in this trait remain unclear. Epigenetic modifications, such as DNA methylation, play an important role in mediating environmental effects on melanin-based coloration in mammals, especially in relation to diet. Yet, how DNA methylation varies with coat color in wild animals has not been investigated, limiting our understanding of how variation in this trait emerges. Here, we used a population-level, reduced representation sequencing approach to survey DNA methylation among 147 black and gray Alexander Archipelago wolves (<i>Canis lupus ligoni</i>). We detected 880 differentially methylated regions (DMRs) between black and gray wolves. Of these DMRs, 93% of loci were hypermethylated in black compared to gray wolves. Across the entire genome however, black wolves had significantly lower levels of total DNA methylation compared to gray wolves. When we coupled our epigenomic data with information on wolves’ diet, we found that of the 880 DMRs detected between black and gray wolves, only 55 loci (6.5%) were also associated with diet. This finding suggests that the relationship between DNA methylation and coat color is not driven by dietary differences in our study. Together, our findings warrant future investigation into how coat color varies with DNA methylation at functionally relevant genetic loci (e.g., <i>MC1R</i>, <i>Agouti</i>, and <i>CBD103</i>). This will augment our understanding of how intraspecific coat color differences emerge among North American wolves, as well as its eco-evolutionary significance.
DOI: 10.15468/dl.bq94wn
title: Occurrence Download

description: A dataset containing 1503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Crescentia alata Kunth"
 ]
}

 The dataset includes 1503 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025662-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc2v6w
title: Occurrence Download

description: A dataset containing 7034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hakea sericea Schrad. & J.C.Wendl., Conchium acicularis Sm. ex Vent., Hakea brachyrhyncha Meisn., Conchium aciculare Sm. ex Vent., Hakea acicularis var. smithii Endl., Hakea obliqua G.Lodd., Hakea tenuiflora Dum.Cours., Conchium acicularis Sm., Conchium compressum Sm., Hakea sericea Hort.Ups. ex Regel, Hakea tenuifolia Dum.Cours., Banksia tenuifolia Salisb., Hakea tenuifolia (Salisb.) A.T.Lee, Conchium aciculare Sm., Conchium aciculare Donn, Hakea tenuifolia var. typica Domin, Hakea sericea Hort.Ups., Hakea tenuifolia (Salisb.) Domin, Banksia acicularis (Sm. ex Vent.) J.Parm., Hakea acicularis (Sm. ex Vent.) Knight, Hakea tenuifolia (Salisb.) Britten)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 7034 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025663-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.datjsq
title: Occurrence Download

description: A dataset containing 33821499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 33821499 records from 3534 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025625-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0195330.10fu
title: SH0195330.10FU

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/sh0195331.10fu
title: SH0195331.10FU

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/sh0195332.10fu
title: SH0195332.10FU

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/sh0195333.10fu
title: SH0195333.10FU

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/sh0195334.10fu
title: SH0195334.10FU

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/sh0195335.10fu
title: SH0195335.10FU

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/sh0195336.10fu
title: SH0195336.10FU

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/sh0195337.10fu
title: SH0195337.10FU

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/sh0195338.10fu
title: SH0195338.10FU

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.