cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14011983
title: Panorama das políticas federais de ciência aberta no Brasil no período de 2020 a 2023

description: Conjunto de dados contendo:

i) planilha em formato xls com amostra de entes pesquisados, lista de documentos recuperados e categorização dos documentos elegíveis para análise de conteúdo

ii) documentos elegíveis para análise de conteúdo (formato doc e pdf, compactados no zip) 
description: A implementação da ciência aberta depende de políticas que garantam os recursos, as infraestruturas e os incentivos necessários para aumentar a colaboração e a transparência nas pesquisas. Dado o papel regulador e indutor dos governos no ecossistema científica, essas políticas devem ser estabelecidas, sobretudo, pelos governos. De natureza descritiva, este estudo tem por objetivo investigar os marcos regulatórios com foco em ciência aberta, na forma de leis, regulamentos, normativos, diretrizes, guias e programas estabelecidos por órgãos da União (Poderes Executivo e Legislativo) no período de janeiro de 2020 a dezembro de 2023. Baseado em pesquisa documental e análise de conteúdo, o estudo analisou 588 documentos pertencentes a uma amostra intencional de 125 entes federais e encontrou 57 documentos que mencionam a ciência aberta, pertencentes a 23 entes diferentes. O levantamento mostra que, no período analisado, o país segue sem uma política federal específica sobre o tema; que as ações federais são, sobretudo, decorrentes dos planos de Governo Aberto, focadas na dimensão dos dados de pesquisa abertos e protagonizadas pelo Ibict e a Fiocruz, com participação crescente do CNPq. Os resultados apontam para um cenário de avanços, com a ciência aberta aparecendo em um número pequeno mas crescente de políticas, ações e normativos das pastas de ciência e tecnologia, educação, saúde, minas e energia, e direitos humanos e de universidades de todas as regiões do país.
DOI: 10.5281/zenodo.14011984
title: Panorama das políticas federais de ciência aberta no Brasil no período de 2020 a 2023

description: Conjunto de dados contendo:

i) planilha em formato xls com amostra de entes pesquisados, lista de documentos recuperados e categorização dos documentos elegíveis para análise de conteúdo

ii) documentos elegíveis para análise de conteúdo (formato doc e pdf, compactados no zip) 
description: A implementação da ciência aberta depende de políticas que garantam os recursos, as infraestruturas e os incentivos necessários para aumentar a colaboração e a transparência nas pesquisas. Dado o papel regulador e indutor dos governos no ecossistema científica, essas políticas devem ser estabelecidas, sobretudo, pelos governos. De natureza descritiva, este estudo tem por objetivo investigar os marcos regulatórios com foco em ciência aberta, na forma de leis, regulamentos, normativos, diretrizes, guias e programas estabelecidos por órgãos da União (Poderes Executivo e Legislativo) no período de janeiro de 2020 a dezembro de 2023. Baseado em pesquisa documental e análise de conteúdo, o estudo analisou 588 documentos pertencentes a uma amostra intencional de 125 entes federais e encontrou 57 documentos que mencionam a ciência aberta, pertencentes a 23 entes diferentes. O levantamento mostra que, no período analisado, o país segue sem uma política federal específica sobre o tema; que as ações federais são, sobretudo, decorrentes dos planos de Governo Aberto, focadas na dimensão dos dados de pesquisa abertos e protagonizadas pelo Ibict e a Fiocruz, com participação crescente do CNPq. Os resultados apontam para um cenário de avanços, com a ciência aberta aparecendo em um número pequeno mas crescente de políticas, ações e normativos das pastas de ciência e tecnologia, educação, saúde, minas e energia, e direitos humanos e de universidades de todas as regiões do país.
DOI: 10.48597/43cg-8jn8
title: Measurement of Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.48597/s7jk-3xw2
title: Measurement of Sulphate_corrected at Koksijde

description: Measurement of Sulphate_corrected at Koksijde
DOI: 10.48597/k7qq-sat3
title: Particle_number_size_distribution at Villeneuve d'Ascq

description: Measurement of Particle_number_size_distribution at Villeneuve d'Ascq
DOI: 10.48597/ypjr-h2ww
title: Measurement of Particle_number_size_distribution at Villeneuve d'Ascq

description: Measurement of Particle_number_size_distribution at Villeneuve d'Ascq
DOI: 10.48597/rev5-ds8t
title: Measurement of Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.48597/xsch-zzvn
title: Sulphate_corrected at Koksijde

description: Measurement of Sulphate_corrected at Koksijde
DOI: 10.48597/3wca-6ypc
title: Measurement of Sulphate_corrected at Koksijde

description: Measurement of Sulphate_corrected at Koksijde
DOI: 10.48597/6wsp-zdq6
title: Measurement of Sulphate_corrected at Koksijde

description: Measurement of Sulphate_corrected at Koksijde
DOI: 10.48597/gm7j-h3hz
title: Measurement of Sulphate_corrected at Koksijde

description: Measurement of Sulphate_corrected at Koksijde
DOI: 10.48597/uu7n-9qdv
title: Measurement of Sulphate_corrected at Koksijde

description: Measurement of Sulphate_corrected at Koksijde
DOI: 10.48597/wefe-g44c
title: Measurement of Sulphate_corrected at Koksijde

description: Measurement of Sulphate_corrected at Koksijde
DOI: 10.48597/bhsx-tba5
title: Measurement of Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.48597/kghg-yunr
title: Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.48597/uwyr-fyka
title: Measurement of Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.48597/4e88-7c59
title: Measurement of Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.48597/mzvc-p3vw
title: Measurement of Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.48597/wakk-5c96
title: Measurement of Inorganics in precipitation at Koksijde

description: Measurement of Inorganics in precipitation at Koksijde
DOI: 10.6084/m9.figshare.27262947
title: Graph-based deep learning models for thermodynamic property prediction: The interplay between target definition, data distribution, featurization, and model architecture

description: This folder contains the formation energy of BDE-db, QM9, PC9, QMugs, and QMugs1.1 datasets by filtering (The training, test, and validation sets were randomly split in a ratio of 0.8, 0.1, and 0.1, respectively). The filtered process is described in the article "Graph-based deep learning models for thermodynamic property prediction: The interplay between target definition, data distribution, featurization, and model architecture" and the code can be found at https://github.com/chimie-paristech-CTM/thermo_GNN.After application of the filter procedure described in the article, final versions of the QM9 (127,007 data points), BDE-db (289,639 data points), PC9 (96,634 data points), QMugs (636,821 data points) and QMugs1.1 (70,546 data points) were obtained and used throughout this study.
DOI: 10.6084/m9.figshare.27262947.v2
title: Graph-based deep learning models for thermodynamic property prediction: The interplay between target definition, datadistribution, featurization, and model architecture

description: This folder contains the formation energy of BDE-db, QM9, PC9, QMugs, and QMugs1.1 datasets by filtering (The training, test, and validation sets were randomly split in a ratio of 0.8, 0.1, and 0.1, respectively). The filtered process is described in the article "Graph-based deep learning models for thermodynamic property prediction: The interplay between target definition, data distribution, featurization, and model architecture" and the code can be found at https://github.com/chimie-paristech-CTM/thermo_GNN:After application of above procedure, final versions of the QM9 (127,007 data points), BDE-db (289,639 data points), PC9 (96,634 data points), QMugs (636,821 data points) and QMugs1.1 (70,546 data points) were obtained, and used throughout this study.
DOI: 10.15468/dl.byfdyc
title: Occurrence Download

description: A dataset listing the 23 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Continent is Africa",
 "Geometry POLYGON((28.85295 -24.15225,28.41446 -24.1967,28.41446 -24.4808,28.66781 -24.92343,29.40838 -24.82619,29.61301 -24.36546,29.46684 -24.09889,28.85295 -24.15225))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2007-2024"
 ]
}

 The dataset's 23 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011969-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dautu9
title: Occurrence Download

description: A dataset listing the 1820 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.50175 35.94825,-114.7101 35.94825,-114.7101 36.39282,-115.50175 36.39282,-115.50175 35.94825))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 1820 records were derived from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011970-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14002688
title: SERENA EJP SOIL: Soil organic carbon concentration map for the topsoil of Hungary (2016)

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

The data was prepared according to the methodology of SERENA SOC loss cookbook for the territory of Hungary. To compile the soil organic carbon map, soil organic carbon (0-30 cm, year 2016) data of the Hungarian Soil Information and Monitoring System (SIMS) were used, which are not publicly available. The selection of environmental covariates, which are then used to model and map SOC content, was based on the ‘scorpan’ model: (s) soil properties, (c) climate, (o) organisms, (r) relief, (p) parent material, (a) age and (n) spatial coordinates. The following covariates were used: soil type map of Hungary (Pásztor et al., 2018); long-term mean annual evapotranspiration, -evaporation, -precipitation, and -temperature (Szentimrey et al., 2007); CORINE Land Cover 2012; EU-DEM and derivatives; Geological map of Hungary (Gyalog & Síkhegyi, 2005). Random forest kriging (RFK, combination of the random forest machine learning algorithm and the kriging technique) was used for the prediction of the SOC concentration.
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:



It is the result of a modelling exercise and does not necessarily reflect reality.

Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge.

It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.


Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.15468/dl.nrbz4e
title: Occurrence Download

description: A dataset containing 11055257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11055257 records from 5549 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011968-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qnr6s
title: Occurrence Download

description: A dataset containing 2145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artocarpus altilis (Parkinson) Fosberg"
 ]
}

 The dataset includes 2145 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275631-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epwxxj
title: Occurrence Download

description: A dataset containing 2013 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neoscona oaxacensis (Keyserling, 1864)"
 ]
}

 The dataset includes 2013 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000400-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re9ub8
title: Occurrence Download

description: A dataset containing 15824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catopsilia pomona (Fabricius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15824 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078539-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztnzu0
title: Occurrence Download

description: A dataset containing 4309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "InstitutionCode is mzl"
 ]
}

 The dataset includes 4309 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006566-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em49xt
title: Occurrence Download

description: A dataset containing 2940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Allophylus edulis (A.St.-Hil., Cambess. & A.Juss.) Radlk. ex Warm."
 ]
}

 The dataset includes 2940 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230227-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85avqu
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cenchrus trachyphyllus (Pilg.) Morrone"
 ]
}

 The dataset includes 232 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013941-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtkkiz
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Lantana camara L."
 ]
}

 The dataset includes 37 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008833-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrj84y
title: Occurrence Download

description: A dataset containing 690958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Hirundo rustica Linnaeus, 1758",
 "Year 2010-2020"
 ]
}

 The dataset includes 690958 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074663-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4ho7t
title: Occurrence Download

description: A dataset containing 30924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anas diazi Ridgway, 1886"
 ]
}

 The dataset includes 30924 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009632-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyn6s2
title: Occurrence Download

description: A dataset containing 742331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-31.565747 48.58410666666667, 2.479608666666667 48.58410666666667, 2.479608666666667 65.67073733333334, -31.565747 65.67073733333334, -31.565747 48.58410666666667))",
 "EventDate is 2022-08-01,2022-08-31"
 ]
}

 The dataset includes 742331 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016618-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mftm82
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "Year 2015-2020",
 "TaxonKey is Detarium microcarpum Guill. & Perr."
 ]
}

 The dataset includes 638 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034872-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.666avo
title: Occurrence Download

description: A dataset containing 9969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanellus resplendens (Tschudi, 1843)"
 ]
}

 The dataset includes 9969 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009636-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73wunb
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 14.243386618873",
 "DecimalLongitude is less than 14.2464461720574",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 394 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016604-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag8b3h
title: Occurrence Download

description: A dataset listing the 39408 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((43.94531 39.55078,45.35156 33.79395,48.64746 29.39941,52.4707 26.45508,56.29395 26.32324,60.99609 24.65332,66.57715 24.3457,68.24707 22.76367,72.24609 24.43359,70.40039 27.33398,73.87207 27.99316,76.4209 32.34375,78.09082 31.37695,81.91406 28.56445,88.41797 28.16895,94.61426 28.69629,98.52539 33.83789,103.13965 35.06836,108.67676 39.94629,108.63281 38.14453,115.66406 41.04492,123.39844 47.19727,127.00195 51.15234,126.03516 53.78906,129.28711 60.55664,120.9375 63.7207,101.68945 64.33594,87.89063 60.29297,79.27734 57.39258,75.84961 53.70117,69.16992 55.72266,61.25977 54.58008,55.81055 52.03125,47.28516 51.41602,44.29688 48.69141,45.08789 46.05469,39.02344 45.70313,39.55078 42.09961,41.74805 40.69336,43.94531 39.55078))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 39408 records were derived from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220707-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dl9qf
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Year 1950-2019",
 "TaxonKey is Piranga hepatica Swainson, 1827"
 ]
}

 The dataset includes 379 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016639-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kkzwu
title: Occurrence Download

description: A dataset containing 38842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 14.2892799166389",
 "DecimalLongitude is less than 14.2923394698233",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 38842 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016654-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tphsj6
title: Occurrence Download

description: A dataset containing 1230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Coleonyx elegans Gray, 1845"
 ]
}

 The dataset includes 1230 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289544-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyjkch
title: Occurrence Download

description: A dataset containing 31172 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Year 1950-2019",
 "TaxonKey is Passerina versicolor (Bonaparte, 1838)"
 ]
}

 The dataset includes 31172 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016641-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.