cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e201750v1-166741
title: Data and Code for: The A.I. Dilemma: Growth versus Existential Risk

description: This package contains the replication code for the numerical results in "The A.I. Dilemma: Growth versus Existential Risk."
DOI: 10.15468/dl.jpc3we
title: Occurrence Download

description: A dataset containing 4003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geukensia demissa (Dillwyn, 1817)"
 ]
}

 The dataset includes 4003 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021091-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kt5uh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "DatasetKey is one of (Tropicos MO Specimen Data, Phanerogamic Botanical Collections (S), Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), NMNH Extant Specimen Records (USNM, US), The New York Botanical Garden Herbarium (NY), Tropicos Specimens Non-MO)",
 "OccurrenceStatus is Present",
 "TaxonKey is Verbesina gigantea Jacq."
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021092-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/8d3r-4p04
title: Very Bright Dropouts_all

description: All images and spectra used for the Very Bright Dropout study.
DOI: 10.5281/zenodo.14838249
title: Identification, Structural Dynamics, and Expression Analysis of ABCG25 Proteins in Potato (Solanum tuberosum) under Drought Stress

description: This dataset accompanies the study on ABCG25 proteins in Solanum tuberosum under drought stress, focusing on their potential role as ABA transporters. The supplementary materials include:



Docking Scores & Molecular Dynamics Data: Binding affinities and stability analyses of ABCG25 candidate proteins interacting with ABA.

RNA-seq Expression Profiles: Differential expression of SlABCG25-4, SlABCG25-1, and SlABCG25-2 in drought-tolerant and susceptible cultivars.

Computational Workflow: BLAST identification, docking analysis, molecular dynamics, and transcriptomic analysis steps.


These materials provide additional insights into the structural and functional significance of ABCG25 proteins, supporting their potential role in enhancing drought resilience in crops.

For further details, refer to the main manuscript.
DOI: 10.5281/zenodo.14838250
title: Identification, Structural Dynamics, and Expression Analysis of ABCG25 Proteins in Potato (Solanum tuberosum) under Drought Stress

description: This dataset accompanies the study on ABCG25 proteins in Solanum tuberosum under drought stress, focusing on their potential role as ABA transporters. The supplementary materials include:



Docking Scores & Molecular Dynamics Data: Binding affinities and stability analyses of ABCG25 candidate proteins interacting with ABA.

RNA-seq Expression Profiles: Differential expression of SlABCG25-4, SlABCG25-1, and SlABCG25-2 in drought-tolerant and susceptible cultivars.

Computational Workflow: BLAST identification, docking analysis, molecular dynamics, and transcriptomic analysis steps.


These materials provide additional insights into the structural and functional significance of ABCG25 proteins, supporting their potential role in enhancing drought resilience in crops.

For further details, refer to the main manuscript.
DOI: 10.15468/dl.dy96em
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "DatasetKey is one of (Tropicos MO Specimen Data, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Tropicos Specimens Non-MO, NMNH Extant Specimen Records (USNM, US), Edinburgh (E) Herbarium Specimens, Western Illinois University, ​R. M. Myers Herbarium, Natural History Museum (London) Collection Specimens)",
 "OccurrenceStatus is Present",
 "TaxonKey is Verbesina lanata B.L.Rob. & Greenm."
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021093-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm5pwp
title: Occurrence Download

description: A dataset containing 111682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-106.62213 23.05421,-106.17019 23.05421,-106.17019 23.58392,-106.62213 23.58392,-106.62213 23.05421))"
 ]
}

 The dataset includes 111682 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021094-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdzx8h
title: Occurrence Download

description: A dataset containing 432766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "Geometry POLYGON((-47.04899 0.49333,-48.23768 -0.54267,-54.66757 -15.75735,-52.5095 -20.38863,-40.50837 -25.90914,-33.74491 -5.34573,-47.04899 0.49333))",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Rio Grande do Norte, Ceará, Ceara Province, Paraiba, Paraiba State, Piaui, Piaui (State), Maranhao State, Maranhão, Piauhi, PiauÍ, Sergipe, Sergipe state, Rio Grande do Norte State, Pernambuco, Pernambuco - Brasil, Pernambuco state, Pernambuco State, Alagoas, Alagoas Province, Alagoas State, Alagoas state)",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 432766 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021095-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzqsxh
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.65776 31.90644,-104.54366 31.90644,-104.54366 32.91844,-105.65776 32.91844,-105.65776 31.90644))",
 "HasCoordinate is true",
 "TaxonKey is Agathymus neumoegeni (Edwards, 1882)"
 ]
}

 The dataset includes 28 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021097-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsrt5c
title: Occurrence Download

description: A dataset containing 44811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-101.36101 19.58459,-101.04781 19.58459,-101.04781 19.79299,-101.36101 19.79299,-101.36101 19.58459))"
 ]
}

 The dataset includes 44811 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021096-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14405556
title: Identifying Compounds that Alleviate Acute Hypoxic Stress by Fast-tracking Cellular Adaptation

description: Severe acute hypoxic stress is a major contributor to the pathology of human diseases, including ischemic disorders. Current treatments focus on managing consequences of hypoxia, with few addressing cellular adaptation to low-oxygen environments. Here, we hypothesize that accelerating hypoxia adaptation could provide a strategy to alleviate acute hypoxic stress. We developed a high-content phenotypic screening platform to identify compounds that fast-track adaptation to hypoxic stress. Our platform captures a high-dimensional phenotypic hypoxia response trajectory consisting of normoxic, acutely stressed, and chronically adapted cell states. Leveraging this trajectory, we identify compounds that phenotypically liver shift cells from the acutely stressed towards the adapted state, revealing mTOR/PI3K or BET inhibition as strategies to induce this phenotypic shift. Importantly, our compound hits promote the survival of liver cells exposed to ischemia-like stress, and rescue cardiomyocytes from hypoxic stress. Our platform offers a general, target-agnostic strategy to accelerate cellular adaptation, applicable across various stress conditions.
DOI: 10.5281/zenodo.11111656
title: A phenopushing platform to identify compounds that alleviate acute hypoxic stress by fast-tracking cellular adaptation

description: Severe acute hypoxic stress is a major contributor to the pathology of human diseases, including ischemic disorders. Current treatments focus on managing consequences of hypoxia, with few addressing cellular adaptation to low-oxygen environments. Here, we investigate whether accelerating hypoxia adaptation could provide a strategy to alleviate acute hypoxic stress. We develop a high-content phenotypic screening platform to identify compounds that fast-track adaptation to hypoxic stress. Our platform captures a high-dimensional phenotypic hypoxia response trajectory consisting of normoxic, acutely stressed, and chronically adapted cell states. Leveraging this trajectory, we identify compounds that phenotypically shift cells from the acutely stressed towards the adapted state, revealing mTOR/PI3K or BET inhibition as strategies to induce this phenotypic shift. Importantly, our compound hits promote the survival of liver cells exposed to ischemia-like stress, and rescue cardiomyocytes from hypoxic stress. Our “phenopushing” platform offers a general, target-agnostic approach to identify compounds and targets that accelerate cellular adaptation, applicable across various stress conditions.
DOI: 10.5281/zenodo.11111657
title: Identifying Compounds that Alleviate Acute Hypoxic Stress by Fast-tracking Cellular Adaptation

description: Severe acute hypoxic stress is a major contributor to the pathology of human diseases, including ischemic disorders. Current treatments focus on managing consequences of hypoxia, with few addressing cellular adaptation to low-oxygen environments. Here, we hypothesize that accelerating hypoxia adaptation could provide a strategy to alleviate acute hypoxic stress. We developed a high-content phenotypic screening platform to identify compounds that fast-track adaptation to hypoxic stress. Our platform captures a high-dimensional phenotypic hypoxia response trajectory consisting of normoxic, acutely stressed, and chronically adapted cell states. Leveraging this trajectory, we identify compounds that phenotypically liver shift cells from the acutely stressed towards the adapted state, revealing mTOR/PI3K or BET inhibition as strategies to induce this phenotypic shift. Importantly, our compound hits promote the survival of liver cells exposed to ischemia-like stress, and rescue cardiomyocytes from hypoxic stress. Our platform offers a general, target-agnostic strategy to accelerate cellular adaptation, applicable across various stress conditions.
DOI: 10.5281/zenodo.14406186
title: Identifying Compounds that Alleviate Acute Hypoxic Stress by Fast-tracking Cellular Adaptation

description: Severe acute hypoxic stress is a major contributor to the pathology of human diseases, including ischemic disorders. Current treatments focus on managing consequences of hypoxia, with few addressing cellular adaptation to low-oxygen environments. Here, we hypothesize that accelerating hypoxia adaptation could provide a strategy to alleviate acute hypoxic stress. We developed a high-content phenotypic screening platform to identify compounds that fast-track adaptation to hypoxic stress. Our platform captures a high-dimensional phenotypic hypoxia response trajectory consisting of normoxic, acutely stressed, and chronically adapted cell states. Leveraging this trajectory, we identify compounds that phenotypically liver shift cells from the acutely stressed towards the adapted state, revealing mTOR/PI3K or BET inhibition as strategies to induce this phenotypic shift. Importantly, our compound hits promote the survival of liver cells exposed to ischemia-like stress, and rescue cardiomyocytes from hypoxic stress. Our platform offers a general, target-agnostic strategy to accelerate cellular adaptation, applicable across various stress conditions.
DOI: 10.5281/zenodo.14828912
title: Identifying Compounds that Alleviate Acute Hypoxic Stress by Fast-tracking Cellular Adaptation

description: Severe acute hypoxic stress is a major contributor to the pathology of human diseases, including ischemic disorders. Current treatments focus on managing consequences of hypoxia, with few addressing cellular adaptation to low-oxygen environments. Here, we investigated whether accelerating hypoxia adaptation could provide a strategy to alleviate acute hypoxic stress. We developed a high-content phenotypic screening platform to identify compounds that fast-track adaptation to hypoxic stress. Our platform captures a high-dimensional phenotypic hypoxia response trajectory consisting of normoxic, acutely stressed, and chronically adapted cell states. Leveraging this trajectory, we identify compounds that phenotypically shift cells from the acutely stressed towards the adapted state, revealing mTOR/PI3K or BET inhibition as strategies to induce this phenotypic shift. Importantly, our compound hits promote the survival of liver cells exposed to ischemia-like stress, and rescue cardiomyocytes from hypoxic stress. Our platform offers a general, target-agnostic strategy to accelerate cellular adaptation, applicable across various stress conditions.
DOI: 10.5281/zenodo.14837176
title: A phenopushing platform to identify compounds that alleviate acute hypoxic stress by fast-tracking cellular adaptation

description: Severe acute hypoxic stress is a major contributor to the pathology of human diseases, including ischemic disorders. Current treatments focus on managing consequences of hypoxia, with few addressing cellular adaptation to low-oxygen environments. Here, we investigate whether accelerating hypoxia adaptation could provide a strategy to alleviate acute hypoxic stress. We develop a high-content phenotypic screening platform to identify compounds that fast-track adaptation to hypoxic stress. Our platform captures a high-dimensional phenotypic hypoxia response trajectory consisting of normoxic, acutely stressed, and chronically adapted cell states. Leveraging this trajectory, we identify compounds that phenotypically shift cells from the acutely stressed towards the adapted state, revealing mTOR/PI3K or BET inhibition as strategies to induce this phenotypic shift. Importantly, our compound hits promote the survival of liver cells exposed to ischemia-like stress, and rescue cardiomyocytes from hypoxic stress. Our “phenopushing” platform offers a general, target-agnostic approach to identify compounds and targets that accelerate cellular adaptation, applicable across various stress conditions.
DOI: 10.5281/zenodo.13317275
title: National Checklists 2019: Albania Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Albania collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.13316452
title: National Checklists 2019: Brunei Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Brunei collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.13317292
title: National Checklists 2019: Australia Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Australia collected using effechecka and geonames polygons
DOI: 10.34740/kaggle/dsv/10699293
title: WallStreetBets 2022
DOI: 10.5281/zenodo.13316687
title: National Checklists 2019: Lesotho Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Lesotho collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.13316689
title: National Checklists 2019: Liberia Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Liberia collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.13316660
title: National Checklists 2019: Italy Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Italy collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.13317409
title: National Checklists 2019: Curacao Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Curacao collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.13316582
title: National Checklists 2019: Iran Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Iran collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.13316881
title: National Checklists 2019: Timor-Leste Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Timor-Leste collected using effechecka and geonames polygons
DOI: 10.15468/dl.sg7kss
title: Occurrence Download

description: A dataset listing the 54986 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Cuba"
 ]
}

 The dataset's 54986 records were derived from 1295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021098-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0188154.10fu
title: SH0188154.10FU

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/sh0188155.10fu
title: SH0188155.10FU

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/sh0188156.10fu
title: SH0188156.10FU

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/sh0188157.10fu
title: SH0188157.10FU

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.