cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2s252f
title: Occurrence Download

description: A dataset containing 1110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhytachne rottboellioides"
 ]
}

 The dataset includes 1110 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002260-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3g83w
title: Occurrence Download

description: A dataset containing 5497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Conostegia xalapensis"
 ]
}

 The dataset includes 5497 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002254-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5kw57x8h
title: MassIVE MSV000100665 - ROME BioID2 raw proteomics data from ROME KO manuscript
title: For proteomics, samples were heated for 10 min at 95 degrees. After cooling down to room temperature, 4 uL of 500 mM IAA in 5%SDS was added to a final concentration of 40 mM and incubated in the dark for 30 min. Undissolved matter was centrifuged for 8 min at 13,000 x g. The supernatant was saved and used for downstream processing using a S-Trap column (ProtiFi, LLC). Proteins were digested with sequencing-grade Lys-C/trypsin (Promega) by incubation at 37 degrees overnight. Peptides were analyzed with a nanoAcquity UPLC system coupled with Orbitrap Fusion Lumos mass spectrometer (ThermoFisher) as previously described.
DOI: 10.15482/usda.adc/28586066
title: USDA-ARS Colorado Sunflower Water Use and Productivity Dataset

description: The USDA-Agricultural Research Service conducted a deficit irrigation and water productivity field trial for irrigated sunflower (<i>Helianthus annuus</i>) in northeastern Colorado in 2008 through 2016. Oil-type sunflower was irrigated at a wide range of amounts in a replicated field trial. This dataset from that field trial is composed of 5 Excel workbooks. The dataset includes measurements of irrigation amount, precipitation, soil water storage, and plant responses; daily estimates of crop evapotranspiration; and seasonal crop water use and crop yield data. Soil parameters, hourly and daily weather data and photo images are also provided. The dataset can be useful to develop and evaluate sunflower crop models under varying conditions and levels of water stress.
DOI: 10.15482/usda.adc/28586066.v2
title: USDA-ARS Colorado Sunflower Water Use and Productivity Dataset

description: The USDA-Agricultural Research Service conducted a deficit irrigation and water productivity field trial for irrigated sunflower (<i>Helianthus annuus</i>) in northeastern Colorado in 2008 through 2016. Oil-type sunflower was irrigated at a wide range of amounts in a replicated field trial. This dataset from that field trial is composed of 5 Excel workbooks. The dataset includes measurements of irrigation amount, precipitation, soil water storage, and plant responses; daily estimates of crop evapotranspiration; and seasonal crop water use and crop yield data. Soil parameters, hourly and daily weather data and photo images are also provided. The dataset can be useful to develop and evaluate sunflower crop models under varying conditions and levels of water stress.
DOI: 10.15482/usda.adc/28586066.v1
title: USDA-ARS Colorado Sunflower Water Use and Productivity Dataset

description: The USDA-Agricultural Research Service conducted a deficit irrigation and water productivity field trial for irrigated sunflower (<i>Helianthus annuus</i>) in northeastern Colorado in 2008 through 2016. Oil-type sunflower was irrigated at a wide range of amounts in a replicated field trial. This dataset from that field trial is composed of 5 Excel workbooks. The dataset includes measurements of irrigation amount, precipitation, soil water storage, and plant responses; daily estimates of crop evapotranspiration; and seasonal crop water use and crop yield data. Soil parameters, hourly and daily weather data and photo images are also provided. The dataset can be useful to develop and evaluate sunflower crop models under varying conditions and levels of water stress.
DOI: 10.15468/dl.yz4stv
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tremella tubulosae"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002264-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpsbmx
title: Occurrence Download

description: A dataset containing 3555 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bromus anomalus"
 ]
}

 The dataset includes 3555 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002266-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb5rbk
title: Occurrence Download

description: A dataset containing 9878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.15.4_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Gruiformes, Ciconiiformes, Pelecaniformes, Charadriiformes, Coraciiformes, Anseriformes, Podicipediformes, Suliformes)",
 "Year 2020-2026"
 ]
}

 The dataset includes 9878 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002261-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uv6vqs
title: Occurrence Download

description: A dataset containing 637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rangifer tarandus caribou"
 ]
}

 The dataset includes 637 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002270-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hunvj6
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "TaxonKey is Zinowiewia concinna"
 ]
}

 The dataset includes 180 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002273-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ks79k
title: Occurrence Download

description: A dataset containing 46126 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carnegiea gigantea"
 ]
}

 The dataset includes 46126 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002272-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18423476
title: Operationalizing Ethical Principles in AI-Based Software Systems: A Systematic Mapping Study

description: Background: The widespread adoption of Artificial Intelligence (AI) systems has intensified concerns regarding ethical principles such as fairness, transparency, and  accountability. Although these principles are well established in international guidelines and regulatory initiatives, their effective operationalization within Software  Engineering practices remains fragmented and uneven across the software development life cycle (SDLC). Goal: This study aims to systematically characterize how ethical  principles are addressed and operationalized in AI-based systems within the Software Engineering literature, identifying the principles most frequently discussed and the types of approaches proposed to embed them into SDLC activities. Method: We conducted a Systematic Mapping Study (SMS) following established Software Engineering guidelines, analyzing peer-reviewed studies published between 2021 and 2025. Searches were performed in four major digital libraries (ACM Digital Library, IEEE Xplore,  Scopus, and Web of Science). After a multi-stage screening process, 58 primary studies were included and classified according to the ethical principles addressed and the SDLC phases in which they are operationalized. Results: The results reveal a strong concentration on Fairness, Accountability, and Transparency/Explainability, which  dominate the literature. Operationalization efforts are primarily focused on early and intermediate SDLC phases, particularly Requirements, Design, and Implementation, often through frameworks, checklists, design methods, and technical tools. In contrast, later phases such as Deployment, Operation, and Maintenance, as well as crosscutting areas like DevOps/MLOps and Project Management, receive limited attention. Several ethical principles, including Sustainability and Beneficence, remain underrepresented, indicating uneven maturity in the operationalization of AI ethics within Software Engineering.
DOI: 10.25824/redu/ab8q2k
title: Citações femininas em obras de cronistas e antiquários ingleses (séc VI - XVIII)

description: A tabela contemplada em anexo posiciona por extenso citações retiradas dos documentos de cronistas e antiquários ingleses que se referem a mulheres em suas narrativas. A tabela propõe, ainda, uma análise sobre a caracterização destas mulheres, e seu grau de proximidade com narrativas que explicam Stonehenge.
DOI: 10.5281/zenodo.18423475
title: Operationalizing Ethical Principles in AI-Based Software Systems: A Systematic Mapping Study

description: Background: The widespread adoption of Artificial Intelligence (AI) systems has intensified concerns regarding ethical principles such as fairness, transparency, and  accountability. Although these principles are well established in international guidelines and regulatory initiatives, their effective operationalization within Software  Engineering practices remains fragmented and uneven across the software development life cycle (SDLC). Goal: This study aims to systematically characterize how ethical  principles are addressed and operationalized in AI-based systems within the Software Engineering literature, identifying the principles most frequently discussed and the types of approaches proposed to embed them into SDLC activities. Method: We conducted a Systematic Mapping Study (SMS) following established Software Engineering guidelines, analyzing peer-reviewed studies published between 2021 and 2025. Searches were performed in four major digital libraries (ACM Digital Library, IEEE Xplore,  Scopus, and Web of Science). After a multi-stage screening process, 58 primary studies were included and classified according to the ethical principles addressed and the SDLC phases in which they are operationalized. Results: The results reveal a strong concentration on Fairness, Accountability, and Transparency/Explainability, which  dominate the literature. Operationalization efforts are primarily focused on early and intermediate SDLC phases, particularly Requirements, Design, and Implementation, often through frameworks, checklists, design methods, and technical tools. In contrast, later phases such as Deployment, Operation, and Maintenance, as well as crosscutting areas like DevOps/MLOps and Project Management, receive limited attention. Several ethical principles, including Sustainability and Beneficence, remain underrepresented, indicating uneven maturity in the operationalization of AI ethics within Software Engineering.
DOI: 10.15468/dl.bw6kxy
title: Occurrence Download

description: A dataset containing 163534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 163534 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002279-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.admq5b
title: Occurrence Download

description: A dataset containing 8484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opheodrys vernalis"
 ]
}

 The dataset includes 8484 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002276-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yn6yhd
title: Occurrence Download

description: A dataset containing 11713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-71.54733 6.66717,-72.69209 7.23534,-73.01008 8.13871,-73.79445 8.78873,-74.34564 7.23534,-74.47283 5.97185,-74.09125 5.27564,-72.03491 5.12786,-71.63212 6.35123,-71.54733 6.66717))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 11713 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002282-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9fkpb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia julibrissin Durazz.",
 "Country is Ethiopia"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007335-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsq6z9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia julibrissin Durazz.",
 "Country is Somalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007337-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ngvydd
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lista de árboles y arbustos del Bosque tropical seco del valle alto del río Magdalena, Colombia"
 ]
}

 The dataset includes 655 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010176-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykqd67
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Winteria telescopa Brauer, 1901",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((40.3006 -16.7147,40.6365 -16.1504,35.9648 -16.1504,35.9648 -19.5556,36.0796 -19.4498,36.663 -19.2358,37.5966 -18.1093,38.5624 -17.638,39.3949 -17.5133,39.577 -17.186,40.3006 -16.7147))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010015-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14004247
title: Supplementary material: Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition

description: This dataset contains three files:



S1: Excel file listing literature data (Mg, Sr, Mn and Fe concentrations and/or their ratios to Ca) of main and trace elements from belemnite rostra, including age, locality, taxon. Missing element concentrations and ratios are calculated within the Excel file.

S2: All RevBayes script and input files used for the analyses and resulting tree and log files, including summary trees. The three folders correspond to the files used in the phylogenetic analysis, estimation of evolutionary rates and sensitivity analyses, respectively.

S3: Excel file containing statistical information on the distribution of Mg/Ca and Sr/Ca ratios across the tree. The reference tree is the MCC tree of cluster B. Location of nodes is indicated by parent nodes (PN), which refers to an identifier (ID) of a node or sampled ancestor. Values in red are caluculated directly from the data (File S1), while values in black represent nodes that were calculate using the Brownian Motion model.
DOI: 10.5281/zenodo.14004248
title: Supplementary material: Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition

description: This dataset contains three files:



S1: Excel file listing literature data (Mg, Sr, Mn and Fe concentrations and/or their ratios to Ca) of main and trace elements from belemnite rostra, including age, locality, taxon. Missing element concentrations and ratios are calculated within the Excel file.

S2: All RevBayes script and input files used for the analyses and resulting tree and log files, including summary trees. The three folders correspond to the files used in the phylogenetic analysis, estimation of evolutionary rates and sensitivity analyses, respectively.

S3: Excel file containing statistical information on the distribution of Mg/Ca and Sr/Ca ratios across the tree. The reference tree is the MCC tree of cluster B. Location of nodes is indicated by parent nodes (PN), which refers to an identifier (ID) of a node or sampled ancestor. Values in red are caluculated directly from the data (File S1), while values in black represent nodes that were calculate using the Brownian Motion model.
DOI: 10.6084/m9.figshare.28870406
title: Scripts for Breast Cancer Bulk RNA-Seq Differential Expression, Survival, and Enrichment Analyses Using GEO Data

description: This repository contains R and Python scripts used to analyze bulk RNA-Seq datasets from the Gene Expression Omnibus (GEO) related to breast, prostate, endometrial, lung, and colorectal cancer. The workflow includes differential expression analysis, survival analysis, functional enrichment, and visualization.Included workflows:<b>R scripts:</b><b>Data processing and normalization</b> of GEO-derived bulk RNA-Seq datasets.<b>Differential expression analysis</b> (DEG) using limma.<b>Survival analysis</b> using Cox proportional hazards models<b>Functional enrichment analysis</b> (GO, Reactome) of overlapping DEGs to identify significant pathways<b>Python scripts:</b><b>Forest plot generation</b> using Matplotlib and Seaborn to visualize the survival analysis's hazard ratios and confidence intervals.<b>Data Source:</b>Publicly available bulk RNA-Seq datasets from the <b>Gene Expression Omnibus (GEO)</b> database.
DOI: 10.13140/rg.2.2.25893.15841
title: Classical Spin Simulation of Magnetic Ordering in α-RuCl₃ with J₁–J₂–J₃ Interactions
DOI: 10.15468/dl.92mwrx
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Espeletia colombiana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 35 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009551-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmxw22
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Espeletia lopezii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 90 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009553-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvwd95
title: Occurrence Download

description: A dataset containing 81 records in GBIF matching the query:
SELECT
 '310' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 24.552553756517728
 AND decimalLatitude &lt;= 28.773895969281842
 AND decimalLongitude &gt;= 10.580091890460364
 AND decimalLongitude &lt;= 16.23900266428802
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 81 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009544-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyqqha
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Espeletia timotensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 164 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009554-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5e2d8n
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Betula dahurica"
 ]
}

 The dataset includes 231 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009555-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw6qyj
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ethulia conyzoides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 704 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009558-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14604833
title: BOS Kemdikbud