cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5125qn2k
title: MassIVE MSV000095937 - Pseudomonas_aeruginosa_supernatants_LC-HRMS analysis - UniGE
title: In this study, we used untargeted metabolomics to analyze and compare the exo-metabolome of wild type P. aeruginosa strain PA14, as well as a mutant (PA14_D4mex) lacking the four clinically relevant efflux pumps (EPs), in which we overexpressed individually the four clinically relevant Mex EPs from an inducible promoter. The supernatants were extracted and analyzed by LC-HRMS.
DOI: 10.3886/e209302
title: Reservoirs of Power: The Political Legacy of Dam Construction in Franco’s Spain

description: This paper delves into infrastructure projects initiated during the dictatorship in Spain, particularly the construction of reservoirs and dams. These projects were instrumental in bolstering support for right-wing factions advocating for Franco’s regime over the years. However, our research reveals a notable trend: areas where dams were erected by the regime demonstrate diminished political backing for right-wing parties in the post-dictatorship era. We present evidence suggesting that this phenomenon is driven by the use of forced labor in dam construction by the regime, as inferred from the proximity to concentration camps. To address endogeneity concerns, we instrument dam construction with river gradient suitability.
DOI: 10.3886/e209302v1
title: Reservoirs of Power: The Political Legacy of Dam Construction in Franco’s Spain

description: This paper delves into infrastructure projects initiated during the dictatorship in Spain, particularly the construction of reservoirs and dams. These projects were instrumental in bolstering support for right-wing factions advocating for Franco’s regime over the years. However, our research reveals a notable trend: areas where dams were erected by the regime demonstrate diminished political backing for right-wing parties in the post-dictatorship era. We present evidence suggesting that this phenomenon is driven by the use of forced labor in dam construction by the regime, as inferred from the proximity to concentration camps. To address endogeneity concerns, we instrument dam construction with river gradient suitability.
DOI: 10.2909/0c4270c4-fd7e-4099-ac2f-5af2079ddbd8
title: EUNIS grassland and lands dominated by forbs, mosses or lichens habitat types probability maps - version 1, Nov. 2021

description: This metadata describes the EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types probability maps distribution datasets created from habitat probability mapping. Probability maps are refined versions of habitat suitability maps. Suitability maps model areas where the environment is suitable for a certain habitat type. Probability maps include information on existing land cover and narrow the modelled suitable distribution to areas where the habitat type is probable to occur.

These habitat types correspond to non-coastal land which is dry or only seasonally wet (with the water table at or above ground level for less than half of the year) with greater than 30% vegetation cover. The vegetation is dominated by grasses and other non-woody plants, including mosses, macrolichens, ferns, sedges and herbs. Includes semiarid steppes with scattered Artemisia scrub. Includes successional weedy vegetation. Excludes regularly tilled habitats (V1) dominated by cultivated herbaceous vegetation such as arable fields and managed grasslands such as recreation fields and lawns.

The verified grasslands and lands dominated by forbs, mosses or lichens habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation probability and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.
DOI: 10.15468/dl.vekk8d
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aplastodiscus ibirapitanga (Cruz, Pimenta & Silvano, 2003)"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028112-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13833224
title: algansea_lacustris_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.13833225
title: algansea_lacustris_zanfona_1.fasta.gz

description: .
DOI: 10.15468/dl.tnu597
title: Occurrence Download

description: A dataset containing 2143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Costularia C.B.Clarke"
 ]
}

 The dataset includes 2143 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028114-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmn3ee
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterflies of Singapore and Peninsular Malaysia (Papilionidae)"
 ]
}

 The dataset includes 481 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028115-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17035/cardiff.26819698
title: Data for "Is there a role for biogenic amine receptors in mediating β-phenylethylamine and RO5256390-induced vascular contraction?"

description: AbstractBackgroundSubstantial evidence indicates trace amines can induce vasoconstriction independently of noradrenaline release. However, the mechanism underlying noradrenaline-independent vasoconstrictor responses to trace amines has not yet been established. This study evaluates the role of trace amine-associated receptor 1 (TAAR1) and other biogenic amine receptors in mediating β-phenylethylamine and the TAAR-1 selective agonist RO5256390-induced vasoconstriction.MethodsVasoconstrictor responses to β-PEA and the TAAR1-selective agonist, RO5256390 were assessed <i>in vitro</i> in endothelium-denuded aortic rings and third-order mesenteric arteries of male Sprague Dawley rats.Resultsβ-PEA and RO5256390 induced concentration-dependent vasoconstriction of aortic rings but not third-order mesenteric arteries. Vasoconstrictor responses in aortic rings were insensitive to antagonists of 5-HT. The murine-selective TAAR1 antagonist, EPPTB, had no effect on either β-PEA or RO5256390-induced vasoconstriction. The α<sub>1</sub>-adrenoceptor antagonist, prazosin, and the α<sub>2</sub>-adrenoceptor antagonist, yohimbine, induced a shift of the β-PEA concentration response curve too small to be ascribed to antagonism of α<sub>1</sub>-or α<sub>2</sub>-adrenoceptors, respectively. The α<sub>2</sub>-adrenoceptor antagonist atipamezole had no effect on β-PEA or RO5256390-induced vasoconstriction.ConclusionVasoconstrictor responses to trace amines are not mediated by classical biogenic amine neurotransmitter receptors. Insensitivity of β-PEA vasoconstrictor responses to EPPTB, may be explained by its low affinity for rat rather than murine TAAR1. Therefore, TAAR1 remains the most likely candidate receptor mediating vasoconstrictor responses to trace amines and that prazosin and yohimbine have low affinity for TAAR1.The data submitted to this repository contains all of the raw data generated for the above research article.
DOI: 10.17035/cardiff.26819698.v1
title: Data for "Is there a role for biogenic amine receptors in mediating β-phenylethylamine and RO5256390-induced vascular contraction?"

description: AbstractBackgroundSubstantial evidence indicates trace amines can induce vasoconstriction independently of noradrenaline release. However, the mechanism underlying noradrenaline-independent vasoconstrictor responses to trace amines has not yet been established. This study evaluates the role of trace amine-associated receptor 1 (TAAR1) and other biogenic amine receptors in mediating β-phenylethylamine and the TAAR-1 selective agonist RO5256390-induced vasoconstriction.MethodsVasoconstrictor responses to β-PEA and the TAAR1-selective agonist, RO5256390 were assessed <i>in vitro</i> in endothelium-denuded aortic rings and third-order mesenteric arteries of male Sprague Dawley rats.Resultsβ-PEA and RO5256390 induced concentration-dependent vasoconstriction of aortic rings but not third-order mesenteric arteries. Vasoconstrictor responses in aortic rings were insensitive to antagonists of 5-HT. The murine-selective TAAR1 antagonist, EPPTB, had no effect on either β-PEA or RO5256390-induced vasoconstriction. The α<sub>1</sub>-adrenoceptor antagonist, prazosin, and the α<sub>2</sub>-adrenoceptor antagonist, yohimbine, induced a shift of the β-PEA concentration response curve too small to be ascribed to antagonism of α<sub>1</sub>-or α<sub>2</sub>-adrenoceptors, respectively. The α<sub>2</sub>-adrenoceptor antagonist atipamezole had no effect on β-PEA or RO5256390-induced vasoconstriction.ConclusionVasoconstrictor responses to trace amines are not mediated by classical biogenic amine neurotransmitter receptors. Insensitivity of β-PEA vasoconstrictor responses to EPPTB, may be explained by its low affinity for rat rather than murine TAAR1. Therefore, TAAR1 remains the most likely candidate receptor mediating vasoconstrictor responses to trace amines and that prazosin and yohimbine have low affinity for TAAR1.The data submitted to this repository contains all of the raw data generated for the above research article.
DOI: 10.5281/zenodo.10257310
title: GeoChanges QA

description: This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 8, 900 question-query-answer triples.

The code used to create this dataset is available here:  github repo

The knowledge graph (rdf dumps) which the queries refer to is available here: DOI 10.5281/zenodo.11508198  //  Knowledge Graph
description: Columns Description:

Subgraph ID: Unique Subgraph type id
SparqlQuery: The SPARQL query
Questions: The Question after replacing Uris_match with template variables
Sample Answer: One sample answer to the SPARQL query
 
Question_Templates:

Subgraph ID: Unique Subgraph type id
Graph: The graph schema for every Subgraph ID
Questions Templates: A list with every question template
description: New Version4 Updates: 



More queries-questions-answers pairs were produced. The dataset contains around 8900 examples

Corrections on question templates

Update KG
DOI: 10.5281/zenodo.10257311
title: GeoChanges QA
DOI: 10.5281/zenodo.10257564
title: GeoChanges QA

description: This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 5, 700 question-query-answer triples.
description: Columns Description:

Q_id: Unique Subgraph type id
Instances: Instances that may be used inside SPARQL Query
Select_type: The target node of the query, what the question asks for
Predicates: The predicates used in the query
Filters: The Filters that may be used in the query. Has the format of {type of the filter, variable1, operator, variable2}
SparqlQuery: The SPARQL query
Uris_match: The matching between question template variables and their values
Questions_templates: The selected Question template for the query
Questions: The Question after replacing Uris_match with template variables
Corrected Questions: The question after passing through the grammar corrector model. If nan no change was needed.
Answers: One sample answer to the SPARQL query
DOI: 10.5281/zenodo.10276960
title: GeoChanges QA

description: This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 5, 700 question-query-answer triples.

The code used to create this dataset is available here:  github repo

The knowledge graph which the queries refer to is available here: Knowledge Graph
description: Columns Description:

Subgraph ID: Unique Subgraph type id
SparqlQuery: The SPARQL query
Questions: The Question after replacing Uris_match with template variables
Sample Answer: One sample answer to the SPARQL query
 
Question_Templates:

Subgraph ID: Unique Subgraph type id
Graph: The graph schema for every Subgraph ID
Questions Templates: A list with every question template
DOI: 10.5281/zenodo.10989422
title: GeoChanges QA

description: This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 8, 900 question-query-answer triples.

The code used to create this dataset is available here:  github repo

The knowledge graph (rdf dumps) which the queries refer to is available here: DOI 10.5281/zenodo.11508198  //  Knowledge Graph
description: Columns Description:

Subgraph ID: Unique Subgraph type id
SparqlQuery: The SPARQL query
Questions: The Question after replacing Uris_match with template variables
Sample Answer: One sample answer to the SPARQL query
 
Question_Templates:

Subgraph ID: Unique Subgraph type id
Graph: The graph schema for every Subgraph ID
Questions Templates: A list with every question template
description: New Version4 Updates: 



More queries-questions-answers pairs were produced. The dataset contains around 8900 examples

Corrections on question templates

Update KG
DOI: 10.5281/zenodo.13764978
title: GeoChanges QA

description: This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 8, 900 question-query-answer triples.

The code used to create this dataset is available here:  github repo

The knowledge graph (rdf dumps) which the queries refer to is available here: DOI 10.5281/zenodo.11508198  //  Knowledge Graph
description: Columns Description:

Subgraph ID: Unique Subgraph type id
SparqlQuery: The SPARQL query
Questions: The Question after replacing Uris_match with template variables
Sample Answer: One sample answer to the SPARQL query
 
Question_Templates:

Subgraph ID: Unique Subgraph type id
Graph: The graph schema for every Subgraph ID
Questions Templates: A list with every question template
description: New Version4 Updates: 



More queries-questions-answers pairs were produced. The dataset contains around 8900 examples

Corrections on question templates

Update KG
DOI: 10.5281/zenodo.13833252
title: gracilaria_parvispora_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.13833253
title: gracilaria_parvispora_zanfona_1.fasta.gz

description: .
DOI: 10.15468/dl.7uv7da
title: Occurrence Download

description: A dataset containing 4845127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is EOD – eBird Observation Dataset",
 "IucnRedListCategory is one of (CR, EN, VU, NT)"
 ]
}

 The dataset includes 4845127 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028113-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmc8ae
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aplastodiscus leucopygius (Cruz & Peixoto, 1985)"
 ]
}

 The dataset includes 203 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028117-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjxp8c
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.12_1, MUS)",
 "TaxonKey is Palea steindachneri (Siebenrock, 1906)"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028116-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/99498d2c-7350-4655-b914-92c5b9e016c5
title: EUNIS coastal habitat types probability maps - version 1, Dec. 2021

description: This metadata describes the EUNIS coastal habitat types distribution datasets created from habitat probability mapping. Probability maps are refined versions of habitat suitability maps. Suitability maps model areas where the environment is suitable for a certain habitat type. Probability maps include information on existing land cover and narrow the modelled suitable distribution to areas where the habitat type is probable to occur.

Coastal habitats are those above spring high tide limit (or above mean water level in non-tidal waters) occupying coastal features and characterised by their proximity to the sea, including coastal dunes and wooded coastal dunes, beaches and cliffs. Includes free-draining supralittoral habitats adjacent to marine habitats which are normally only very rarely subject to any type of salt water, in as much as they may be inhabited predominantly by terrestrial species, strandlines characterised by terrestrial invertebrates and moist and wet coastal dune slacks and dune-slack pools. Supralittoral sands and wracks may be found also in marine habitats (M). Excludes supralittoral rock pools and habitats, the splash zone immediately above the the mean water line, as well the spray zone and zone subject to sporadic inundation with salt water in as much as it may be inhabited predominantly by marine species, which are included in marine (M).

The verified coastal habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.
DOI: 10.15468/dl.8fqc93
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BHS",
 "TaxonKey is Pantherophis alleghaniensis (Holbrook, 1836)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028118-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vhjb-8704
title: Built Environment Data

description: The data for this research are gathered from a variety of environments to evaluate CO2 accumulation under a range of uncontrolled variables. The dataset includes both built environments and transportation settings, offering a comprehensive view of real-world conditions across different contexts:Built Environments: Data were collected from various indoor locations such as offices, banks, and public spaces like gyms and libraries. Each site was selected for its distinct characteristics, including occupancy levels, spatial dimensions, and ventilation systems. For example, data from a bank located on Anna Salai, Chennai, were recorded continuously over a 7-day period, capturing fluctuations in CO2 levels in relation to customer flow and operational hours on weekdays, weekends, and public holidays.Transportation Scenarios: The transportation data focus on enclosed areas with frequent occupant changes, such as air-conditioned buses and metro systems. This dataset includes CO2 measurements from specific routes, like the blue line of the Chennai Metro Rail, where sensors monitored variations in CO2 levels during both peak and off-peak hours, assessing the influence of passenger density on air quality.
DOI: 10.15468/dl.95yw4t
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aplastodiscus perviridis Lutz, 1950"
 ]
}

 The dataset includes 416 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028119-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x834k
title: Occurrence Download

description: A dataset containing 1369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Populus davidiana var. tomentella (C.K.Schneid.) Nakai, Populus davidiana f. ovata Z.Wang & S.L.Tung, Populus davidiana f. laticuneata Nakai, Populus davidiana f. pendula (A.K.Skvortsov) Z.Wang & S.L.Tung, Populus davidiana var. pendula Skvortsov, Populus wutaica Mayr, Populus davidiana Dode)"
 ]
}

 The dataset includes 1369 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028121-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.