cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0978113.10fu
title: SH0978113.10FU

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/sh0978114.10fu
title: SH0978114.10FU

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/sh0978115.10fu
title: SH0978115.10FU

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/sh0978116.10fu
title: SH0978116.10FU

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/sh0978117.10fu
title: SH0978117.10FU

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/sh0978118.10fu
title: SH0978118.10FU

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/sh0978119.10fu
title: SH0978119.10FU

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.ny8ztg
title: Occurrence Download

description: A dataset containing 1181942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fraxinus excelsior L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1181942 records from 3366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109504-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bc2ffv
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paspalum saurae (Parodi) Parodi"
 ]
}

 The dataset includes 916 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182485-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjjms2
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peperomia erythropremna Trel."
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182484-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6q65g
title: Occurrence Download

description: A dataset containing 21707478 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 21707478 records from 5682 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185369-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvqm3y
title: Occurrence Download

description: A dataset containing 5566 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laminaria japonica J.E.Areschoug"
 ]
}

 The dataset includes 5566 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097216-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfe8a3
title: Occurrence Download

description: A dataset containing 7292618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is one of (USA.11_1, USA.1_1, USA.10_1, USA.41_1, USA.34_1, USA.47_1, USA.49_1, USA.8_1, USA.21_1, USA.31_1, USA.33_1, USA.39_1, USA.36_1, USA.15_1, USA.14_1, USA.26_1, USA.43_1, USA.25_1, USA.19_1, USA.4_1, USA.44_1, USA.37_1, USA.28_1, USA.33.32_1)",
 "InstitutionCode is one of (inaturalist, tpwd, uf, bison, usgs, clo, vecb, ny, inhs, university of texas biodiversity collections (utbc))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 7292618 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097129-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pnws2
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron tsusiophyllum Sugim."
 ]
}

 The dataset includes 193 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097219-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8352742
title: Single-cell multi-omics analysis identifies context specific gene regulatory gates and mechanisms

description: There is a growing interest in inferring context specific gene regulatory networks from single-cell RNA sequencing (scRNA-seq) data. This involves identifying the regulatory relationships between transcription factors (TFs) and genes in individual cells, and then characterizing these relationships at the level of specific cell types or cell states. In this study, we introduce scGATE (single-cell gene regulatory gate) as a novel computational tool for inferring TF-gene interaction networks and reconstructing Boolean logic gates involving regulatory TFs using scRNA-seq data. In contrast to current Boolean models, scGATE eliminates the need for individual formulations and likelihood calculations for each Boolean rule (e.g., AND, OR, XOR). By employing a Bayesian framework, scGATE infers the Boolean rule after fitting the model to the data, resulting in significant reductions in time-complexities for logic-based studies. We have applied assay for transposase-accessible chromatin with sequencing (scATAC-seq) data and TF DNA binding motifs to filter out non-relevant TFs in gene regulations. By integrating single-cell clustering with these external cues, scGATE is able to infer context specific networks. The performance of scGATE is evaluated using synthetic and real single-cell multi-omic data from mouse tissues and human blood, demonstrating its superiority over existing tools for reconstructing TF-gene networks. Additionally, scGATE provides a flexible framework for understanding the complex combinatorial and cooperative relationships among TFs regulating target genes by inferring Boolean logic gates among them.
DOI: 10.5281/zenodo.8352743
title: scGATE data

description: Raw scRNA-seq data for cell-type specific logic gate inference in the mouse haematopoiesis
DOI: 10.5281/zenodo.8353409
title: Single-cell multi-omics analysis identifies context specific gene regulatory gates and mechanisms

description: There is a growing interest in inferring context specific gene regulatory networks from single-cell RNA sequencing (scRNA-seq) data. This involves identifying the regulatory relationships between transcription factors (TFs) and genes in individual cells, and then characterizing these relationships at the level of specific cell types or cell states. In this study, we introduce scGATE (single-cell gene regulatory gate) as a novel computational tool for inferring TF-gene interaction networks and reconstructing Boolean logic gates involving regulatory TFs using scRNA-seq data. In contrast to current Boolean models, scGATE eliminates the need for individual formulations and likelihood calculations for each Boolean rule (e.g., AND, OR, XOR). By employing a Bayesian framework, scGATE infers the Boolean rule after fitting the model to the data, resulting in significant reductions in time-complexities for logic-based studies. We have applied assay for transposase-accessible chromatin with sequencing (scATAC-seq) data and TF DNA binding motifs to filter out non-relevant TFs in gene regulations. By integrating single-cell clustering with these external cues, scGATE is able to infer context specific networks. The performance of scGATE is evaluated using synthetic and real single-cell multi-omic data from mouse tissues and human blood, demonstrating its superiority over existing tools for reconstructing TF-gene networks. Additionally, scGATE provides a flexible framework for understanding the complex combinatorial and cooperative relationships among TFs regulating target genes by inferring Boolean logic gates among them.
DOI: 10.15468/dl.a46jte
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Robiquetia pantherina (Kraenzl.) Ames"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097221-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.du9sfh
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron afghanicum Aitch."
 ]
}

 The dataset includes 37 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097220-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jjmzrzm4z3.1
title: Audios from study about Risk Perception, Experiences and Opinions on Human Papillomavirus Prevention: A Gender Perspective. APROFE Guayaquil 2024

description: 1. Audios of individualized interviews with men and women.
2. Transcripts.
DOI: 10.15468/dl.w6kqnq
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Renanthera histrionica Rchb.f."
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097222-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v555ec
title: Occurrence Download

description: A dataset containing 39252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus arvensis L."
 ]
}

 The dataset includes 39252 records from 792 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097218-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62qt7x
title: Occurrence Download

description: A dataset containing 3086301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spinus psaltria (Say, 1822)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3086301 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097156-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvshm2
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rotala stagnina Hiern"
 ]
}

 The dataset includes 147 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097223-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/49gxpjrcn9.1
title: Craniofacial cartilage organoids from human neural crest stem cells

description: We hypothesize that knowledge of cell signaling pathways that drive human neural crest differentiation into craniofacial chondrocytes may be obtained using human stem cells that self-organize into organoids. We developed a differentiation protocol that generated self-organizing craniofacial cartilage organoids from human embryonic stem cell-derived neural crest stem cells. Histological staining of cartilage organoids revealed tissue architecture and staining typical of elastic cartilage. Protein and post-translational modification (PTM) mass spectrometry and snRNA-seq data showed that chondrocyte organoids expressed robust levels of cartilage extracellular matrix (ECM) components: many collagens, aggrecan, perlecan, proteoglycans, and elastic fibers.
DOI: 10.17632/26s932pcb7.1
title: Critical and Qualitative Analysis of the Mollie Tibbetts Murder on Twitter

description: This supplemental dataset includes tables that further explicate the contours of the Tibbetts tragedy as it unfolded on Twitter (aka X). It is meant to append to the article "From Local Tragedy to National News: Twitter, Anti-Immigrant Discourse, and the Politicization of Public Mourning Online" which provides more useful critical analysis of how these data hold meaning.
DOI: 10.17632/f33j84nr64.1
title: Military personnel Resilience

description: The study identified that the psychological state of the military personnel is a complex and important component of their overall health. The results helped to identify personal characteristics and resilience predictors of the military personnel to overcome the negative impact on their mental state in wartime. The study was conducted during the summer 2023 and involved 64 Ukrainian military personnel who have participated in military operations since the beginning of the war in Ukraine, i.e. since February 2022. Our study of the Ukrainian military resilience involved the use of the following methods: Nicholson McBride Resilience Questionnaire (NMRQ); Ryff’s Scales of Psychological Well-Being; Person’s Quality of Life Questionnaire; The Subjective Happiness Scale; Arousability and Optimism Scale (AOS); The Wiesbaden Inventory for Positive Psychotherapy and Family Therapy.
DOI: 10.17632/gxcs8wzcfb.2
title: Individual, family, school environment, and neighborhood characteristics related to different expressions of physical activity in adolescents

description: The aim of this study was to investigate the association among individual, family, school environment and neighborhood characteristics with the different expressions of physical activity (PA) [number of steps (NS), light PA (LPA) and moderate to vigorous PA (MVPA)] in adolescents from Viçosa, MG, Brazil. A cross-sectional study was carried out with 309 adolescents with a mean age of 15.37 (± 0.57) years. LPA, MVPA, NS and sleep time were assessed by accelerometry. Individual characteristics were determined by anthropometry and questionnaires, while family, school environment and neighborhood characteristics were assessed using questionnaires. Robust Regression analysis was performed considering a significance level of 5%. The NS showed a negative association with the variables of sex, places to walk and paved roads, and a positive association with work and crime. LPA had a negative association with the variables of sex, commuting to school, sleep and paved roads, and a positive association with work. The MVPA showed a negative association with the variables of sex and paved roads, and a positive association with work, commuting to school and crime. Such results indicated that boys, those who work and those who live in unpaved neighborhoods presented greater NS and time in LPA and MVPA; those who live in neighborhoods with higher crime had higher NS and time spent in MVPA; those who live in neighborhoods without an adequate place to walk performed a higher NS; and those who passively commute to school had more time in LPA. There was an average reduction of 5.0 minutes in LPA time for each additional hour of sleep. Finally, students who actively commute to school had more time in MVPA. Individual factors and factors related to the neighborhood environment can play an important role in understanding the variables which can influence the different expressions of PA in adolescents.