cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60712/si-id399489.1
title: StrainInfo SI-ID 399489.1

description: StrainInfo dataset 399489 about a strain of Chryseosolibacter indicus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id399490.1
title: StrainInfo SI-ID 399490.1

description: StrainInfo dataset 399490 about a strain of Paenibacillus humicus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.25582/data.2023-06.2830792/2376099
title: Data for EMSL Project 51287 from June 2023
DOI: 10.60712/si-id399584.1
title: StrainInfo SI-ID 399584.1

description: StrainInfo dataset 399584 about a strain of Oceanobacillus kapialis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id399585.1
title: StrainInfo SI-ID 399585.1

description: StrainInfo dataset 399585 about a strain of Bacillus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id399586.1
title: StrainInfo SI-ID 399586.1

description: StrainInfo dataset 399586 about a strain of Leucobacter holotrichiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.rq285k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Betta fusca)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049014-250717081556266/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12579988
title: Michelin Guide Restaurants
DOI: 10.15468/dl.e3h9j2
title: Occurrence Download

description: A dataset containing 1166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1166 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049016-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy3et9
title: Occurrence Download

description: A dataset containing 1279211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aythya marila)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1279211 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048993-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8cbmz
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049018-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16411589
title: VINIF.2021.DA00031
DOI: 10.15468/dl.k2tthw
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049017-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmsu5h
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diplomystes nahuelbutaensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049019-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bexyae
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 182 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049020-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xff5jp
title: Occurrence Download

description: A dataset containing 103223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aythya nyroca)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 103223 records from 390 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049001-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vn652r
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049021-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j66rnx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049022-250717081556266/datasets/export for details.
DOI: 10.15468/dl.mva5zt
title: Occurrence Download

description: A dataset containing 2168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balaeniceps rex)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2168 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049024-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csqc5a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049023-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ts76s8
title: Occurrence Download

description: A dataset containing 891188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aythya valisineria)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 891188 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049008-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbphh9
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acipenser gueldenstaedtii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 190 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049025-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yrm3s
title: Occurrence Download

description: A dataset containing 863380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gadus morhua"
 ]
}

 The dataset includes 863380 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048970-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxrkw4
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049030-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6xuzv
title: Occurrence Download

description: A dataset containing 10965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Basileuterus lachrymosus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 10965 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049027-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16434333
title: Ant suppression impacts on Saint Helena hemipteran community composition

description: Raw data collected on the island of Saint Helena, South Atlantic Ocean, outlining a successful site-scale ant suppression experiment and subsequent shifts in hemipteran community composition.
DOI: 10.5281/zenodo.16434334
title: Ant suppression impacts on Saint Helena hemipteran community composition

description: Raw data collected on the island of Saint Helena, South Atlantic Ocean, outlining a successful site-scale ant suppression experiment and subsequent shifts in hemipteran community composition.
DOI: 10.15468/dl.sd2h9h
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Myanmar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049029-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrjkzr
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 147 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049031-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdum44
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Nauru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049032-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16433424
title: data
DOI: 10.15468/dl.anhv6k
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laimosemion geayi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 52 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049033-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mack26
title: Occurrence Download

description: A dataset containing 1401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bolemoreus hindwoodi)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1401 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049035-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u5hr4
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambassis dussumieri"
 ]
}

 The dataset includes 146 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049034-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mc2qd
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Nigeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 91 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049038-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a8ncg
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista monspessulana",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049036-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46vx5v
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pudica",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 821 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049037-250717081556266/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.29597885
title: SHARP : Generating Synthesizable Molecules via Fragment-based Hierarchical Action-space Reinforcement Learning for Pareto Optimization

description: Designing drug-like molecules that satisfy multiple objectives—such as high binding affinity, synthesizability, and drug-likeness—poses a complex global optimization problem over an astronomically large chemical space. Existing deep learning-based molecular generative models often treat this task as distribution modeling, relying on atom-level autoregressive actions with less consideration of explicit optimization feedback. Consequently, they frequently generate invalid structures, converge to local optima, or produce synthetically infeasible candidates. Here, we introduce SHARP (Synthesizable Hierarchical Action-space Reinforcement learning for Pareto optimization), a molecular generator that addresses these limitations via a fragment-based hierarchical action space and reinforcement learning. SHARP ensures synthetic accessibility by applying action masks guided by a pretrained Synthesizability Estimation Model (SEM). The reinforcement learning (RL) policy is trained using a composite reward function integrating docking scores, pharmacophore matching, and solvent accessibility to generate functionally relevant and experimentally tractable molecules. Furthermore, across four lead optimization tasks—fragment growing, linker design, scaffold hopping, and sidechain decoration—on a diverse receptor set, SHARP consistently outperforms prior methods in producing molecules at high affinity and synthesizability. These results demonstrate that reinforcement learning with a chemically intuitive action space design can be an effective solution to the optimization challenges in AI-driven drug discovery, offering a robust framework for rational molecular design in structure-based applications.
DOI: 10.6084/m9.figshare.29597885.v2
title: SHARP : Generating Synthesizable Molecules via Fragment-based Hierarchical Action-space Reinforcement Learning for Pareto Optimization

description: Designing drug-like molecules that satisfy multiple objectives—such as high binding affinity, synthesizability, and drug-likeness—poses a complex global optimization problem over an astronomically large chemical space. Existing deep learning-based molecular generative models often treat this task as distribution modeling, relying on atom-level autoregressive actions with less consideration of explicit optimization feedback. Consequently, they frequently generate invalid structures, converge to local optima, or produce synthetically infeasible candidates. Here, we introduce SHARP (Synthesizable Hierarchical Action-space Reinforcement learning for Pareto optimization), a molecular generator that addresses these limitations via a fragment-based hierarchical action space and reinforcement learning. SHARP ensures synthetic accessibility by applying action masks guided by a pretrained Synthesizability Estimation Model (SEM). The reinforcement learning (RL) policy is trained using a composite reward function integrating docking scores, pharmacophore matching, and solvent accessibility to generate functionally relevant and experimentally tractable molecules. Furthermore, across four lead optimization tasks—fragment growing, linker design, scaffold hopping, and sidechain decoration—on a diverse receptor set, SHARP consistently outperforms prior methods in producing molecules at high affinity and synthesizability. These results demonstrate that reinforcement learning with a chemically intuitive action space design can be an effective solution to the optimization challenges in AI-driven drug discovery, offering a robust framework for rational molecular design in structure-based applications.
DOI: 10.6084/m9.figshare.29597885.v1
title: SHARP : Generating Synthesizable Molecules via Fragment-based Hierarchical Action-space Reinforcement Learning for Pareto Optimization

description: Designing drug-like molecules that satisfy multiple objectives—such as high binding affinity, synthesizability, and drug-likeness—poses a complex global optimization problem over an astronomically large chemical space. Existing deep learning-based molecular generative models often treat this task as distribution modeling, relying on atom-level autoregressive actions with less consideration of explicit optimization feedback. Consequently, they frequently generate invalid structures, converge to local optima, or produce synthetically infeasible candidates. Here, we introduce SHARP (Synthesizable Hierarchical Action-space Reinforcement learning for Pareto optimization), a molecular generator that addresses these limitations via a fragment-based hierarchical action space and reinforcement learning. SHARP ensures synthetic accessibility by applying action masks guided by a pretrained Synthesizability Estimation Model (SEM). The reinforcement learning (RL) policy is trained using a composite reward function integrating docking scores, pharmacophore matching, and solvent accessibility to generate functionally relevant and experimentally tractable molecules. Furthermore, across four lead optimization tasks—fragment growing, linker design, scaffold hopping, and sidechain decoration—on a diverse receptor set, SHARP consistently outperforms prior methods in producing molecules at high affinity and synthesizability. These results demonstrate that reinforcement learning with a chemically intuitive action space design can be an effective solution to the optimization challenges in AI-driven drug discovery, offering a robust framework for rational molecular design in structure-based applications.
DOI: 10.15468/dl.exmnjt
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fundulus pulvereus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 291 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049039-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.