cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bes4p6
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Mammals MZS, Ptilocercidae, AMNH Mammal Collections, Museum of Comparative Zoology, Harvard University, Order Scandentia, INSDC Sequences, Field Museum of Natural History (Zoology) Mammal Collection, Natural History Museum (London) Collection Specimens, NMNH Extant Specimen Records (USNM, US))",
 "OccurrenceStatus is Present",
 "TaxonKey is Ptilocercus lowii"
 ]
}

 The dataset's 3 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031990-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pte2j7
title: Occurrence Download

description: A dataset containing 5774329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.2_2"
 ]
}

 The dataset includes 5774329 records from 883 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031973-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/6350
title: Golden-Root-Symbiotic-Unity-Civilization-Model
DOI: 10.57967/hf/6165
title: Golden-Root-Symbiotic-Unity-Civilization-Model
DOI: 10.15468/dl.cuyf4t
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trapa L."
 ]
}

 The dataset includes 149 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001493-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq7nhx
title: Occurrence Download

description: A dataset containing 3079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lutjanus monostigma",
 "Year 2000-2025"
 ]
}

 The dataset includes 3079 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009409-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yq2zq
title: Occurrence Download

description: A dataset containing 1377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia streptacantha"
 ]
}

 The dataset includes 1377 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009410-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17717191
title: SYMECO - Focus Group Dataset on Sexual Corruption and Digital Public Services

description: This dataset contains anonymised, NVivo-derived coding matrices and analytical summaries from the SYMECO project (Marie Skłodowska-Curie Actions, Horizon Europe), focusing on sexual corruption and gendered interactions in public service delivery in Brazil. The data were produced through qualitative analysis of ten focus groups with 110 women, conducted in 2025, examining how sexual corruption, harassment, and gendered power asymmetries intersect with digital government platforms and technology-mediated services.

The dataset does not include interview transcripts or direct quotations. Instead, it presents aggregated coding outputs and interpretive summaries structured across five analytic axes: (1) Digital Government – Access and Possibilities, (2) Gender Sereotypes in Service Delivery, (3) Sexual Corruption – Prevalence and Contexts, (4) Consequences, Avoidance and Withdrawal, and (5) Agency, Resistance and Protection.

The Excel workbook comprises eight sheets:– Insights: axis-level interpretive summaries that synthesise the main patterns observed in each analytic axis.– Summaries Per Question: narrative summaries of each focus-group question, disaggregated by focus group (FG1–FG10).– By Code: percentage distributions of NVivo codes by focus group, distinguishing ten groups: FG1 High School Teachers, FG2 Middle School Teachers, FG3 Civic Movement, FG4 Women Association, FG5 Women Protection Group, FG6 Public University Students, FG7 Afro-Brazilian Women Group, FG8 Political Party Supporters, FG9 University Students and Professors, and FG10 Health Care Professionals.– By Age, By Education, By Socioeconomic: code frequencies expressed as percentages across age ranges, educational levels, and socioeconomic groupings, enabling analysis of how experiences and themes vary across these dimensions.– Word Freq and Visual Cues: word-frequency and word-cloud-based interpretive summaries, including top-level interpretations of tone, focus, and emotional content for each analytic axis.

All data have been fully anonymised at the level of NVivo coding and aggregation, with no individual-level identifiers, no direct quotes, and no contextual details that would allow the identification of specific participants. The dataset is intended to support further research on sexual corruption, gendered public-service encounters, digital government, and institutional trust, as well as methodological work on qualitative coding and the analysis of marginalised women’s experiences of public service delivery.
DOI: 10.5281/zenodo.17717190
title: SYMECO - Focus Group Dataset on Sexual Corruption and Digital Public Services

description: This dataset contains anonymised, NVivo-derived coding matrices and analytical summaries from the SYMECO project (Marie Skłodowska-Curie Actions, Horizon Europe), focusing on sexual corruption and gendered interactions in public service delivery in Brazil. The data were produced through qualitative analysis of ten focus groups with 110 women, conducted in 2025, examining how sexual corruption, harassment, and gendered power asymmetries intersect with digital government platforms and technology-mediated services.

The dataset does not include interview transcripts or direct quotations. Instead, it presents aggregated coding outputs and interpretive summaries structured across five analytic axes: (1) Digital Government – Access and Possibilities, (2) Gender Sereotypes in Service Delivery, (3) Sexual Corruption – Prevalence and Contexts, (4) Consequences, Avoidance and Withdrawal, and (5) Agency, Resistance and Protection.

The Excel workbook comprises eight sheets:– Insights: axis-level interpretive summaries that synthesise the main patterns observed in each analytic axis.– Summaries Per Question: narrative summaries of each focus-group question, disaggregated by focus group (FG1–FG10).– By Code: percentage distributions of NVivo codes by focus group, distinguishing ten groups: FG1 High School Teachers, FG2 Middle School Teachers, FG3 Civic Movement, FG4 Women Association, FG5 Women Protection Group, FG6 Public University Students, FG7 Afro-Brazilian Women Group, FG8 Political Party Supporters, FG9 University Students and Professors, and FG10 Health Care Professionals.– By Age, By Education, By Socioeconomic: code frequencies expressed as percentages across age ranges, educational levels, and socioeconomic groupings, enabling analysis of how experiences and themes vary across these dimensions.– Word Freq and Visual Cues: word-frequency and word-cloud-based interpretive summaries, including top-level interpretations of tone, focus, and emotional content for each analytic axis.

All data have been fully anonymised at the level of NVivo coding and aggregation, with no individual-level identifiers, no direct quotes, and no contextual details that would allow the identification of specific participants. The dataset is intended to support further research on sexual corruption, gendered public-service encounters, digital government, and institutional trust, as well as methodological work on qualitative coding and the analysis of marginalised women’s experiences of public service delivery.
DOI: 10.15468/dl.u23gs3
title: Occurrence Download

description: A dataset containing 96 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 2286069 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2286069 OR CAST(occurrence.kingdomkey AS INTEGER) = 2286069 OR CAST(occurrence.phylumkey AS INTEGER) = 2286069 OR CAST(occurrence.classkey AS INTEGER) = 2286069 OR CAST(occurrence.orderkey AS INTEGER) = 2286069 OR CAST(occurrence.familykey AS INTEGER) = 2286069 OR CAST(occurrence.genuskey AS INTEGER) = 2286069 OR CAST(occurrence.specieskey AS INTEGER) = 2286069)
 AND LOWER(occurrence.v_scientificname) = LOWER('Crassostrea gigas')
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 96 records were derived from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009363-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58119/ulg/aaxpgd
title: Replication Data for: Noun incorporation in English: A typological perspective

description: This dataset comprises Dataset 1 and Dataset 2 that were used in the article “Noun incorporation in English: A typological perspective”, co-authored by Dana Louagie and An Van linden, and published in Functions of Language (2025). Dataset 1 contains 13 comma-separated values (csv) files, one file per N-V lexeme investigated, with each containing 100 items (or less if fewer tokens were found). The data result from a basic sorting of exhaustive samples extracted from all subcorpora of WordBanks Online. The extractions targeted three spelling variants: (i) N and V linked with a hyphen, (ii) N and V in a single graphological word, and (iii) N and V in two graphological words. Dataset 2, in turn, comprises 9 comma-separated values (csv) files containing the results of 9 semi-open searches of N-V combinations in WordBanks Online, with either N or V lexically specified.
DOI: 10.5281/zenodo.17720904
title: 20251125_Lorenz_Carmen
DOI: 10.5281/zenodo.17720903
title: 20251125_Lorenz_Carmen
DOI: 10.60597/348n-bp26
title: e-SIS - Base de données du dépistage organisé du cancer du sein (DOCS) du Gard et de la Lozère entre 2004 et 2019
DOI: 10.15468/dl.bcs2wj
title: Occurrence Download

description: A dataset containing 5991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhabdophis tigrinus)",
 "DecimalLatitude is greater than or equal to 0",
 "DecimalLatitude is less than or equal to 60",
 "DecimalLongitude is greater than or equal to 60",
 "DecimalLongitude is less than or equal to 150",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5991 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009411-251120083545085/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.30719730
title: Focused operations to improve the patient flow in full-service healthcare organisations

description: Full-service healthcare providers struggle to enhance productivity due to their complexity. To address this, we studied how greater operational focus could improve their productivity. After conducting a systematic literature review, we created a framework aimed at fostering focused healthcare organizations. We applied this framework in a case study of a full-service provider, analyzing care processes by patient volume and variety. Our findings reveal that blending simple and complex care processes lowers flow efficiency while segmenting them into either high-volume, low-variety (focused) and low-volume, high-variety (general) significantly improves productivity. Our framework serves as a tool for healthcare managers to define strategic directions, evaluate operational focus, and implement streamlined operations. It aids in resource allocation by differentiating between processes needing flexible staffing and those that can be optimized, decreasing overtime costs and preventing staff burnout. We recommend that full-service providers embrace a dual-focus model to better manage complexity and enhance operational efficiency.
DOI: 10.6084/m9.figshare.30719730.v1
title: Focused operations to improve the patient flow in full-service healthcare organisations

description: Full-service healthcare providers struggle to enhance productivity due to their complexity. To address this, we studied how greater operational focus could improve their productivity. After conducting a systematic literature review, we created a framework aimed at fostering focused healthcare organizations. We applied this framework in a case study of a full-service provider, analyzing care processes by patient volume and variety. Our findings reveal that blending simple and complex care processes lowers flow efficiency while segmenting them into either high-volume, low-variety (focused) and low-volume, high-variety (general) significantly improves productivity. Our framework serves as a tool for healthcare managers to define strategic directions, evaluate operational focus, and implement streamlined operations. It aids in resource allocation by differentiating between processes needing flexible staffing and those that can be optimized, decreasing overtime costs and preventing staff burnout. We recommend that full-service providers embrace a dual-focus model to better manage complexity and enhance operational efficiency.
DOI: 10.2908/gov_10dd_rmd
title: Échéances résiduelles de la dette brute des administrations publiques
title: Remaining maturity of general government gross debt
title: Verbleibende Laufzeiten des Bruttoschuldenstands des Staatssektors
DOI: 10.15468/dl.mk9p75
title: Occurrence Download

description: A dataset containing 5824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia tomentosa"
 ]
}

 The dataset includes 5824 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009412-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vn26y
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Acrocephalus paludicola)",
 "BasisOfRecord is one of (Human Observation)",
 "Country is Spain",
 "HasCoordinate is true",
 "Year is one of (2024)"
 ]
}

 The dataset includes 76 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009413-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ts83cd
title: Occurrence Download

description: A dataset containing 1761 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opuntia leucotricha"
 ]
}

 The dataset includes 1761 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009414-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwt2pa
title: Occurrence Download

description: A dataset containing 8449 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is SHN.2_1"
 ]
}

 The dataset includes 8449 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009415-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11198589
title: Replication package for paper: "The Current Status of Open Source ERP Systems: A GitHub Analysis"

description: This dataset contains the main data and results of an analysis of open source ERPs (Enterprise Resource Planning) found in GitHub repositories.



erp-repositories-ALL-short-filtered-v2.csv is the main dataset file containing information collected for repositories using the GitHub Search API (11,500 relevant repositories after applying filtering criteria). It is also the main file that can be used for replication purposes of the reserch work.

The remaining files contain results from the analysis on the dataset.


The relevant paper from the 2024 International Conference on Software and Systems Reuse (ICSR) can be used for citing this work: The current status of open source ERP systems: a GitHub analysis, by Georgia M. Kapitsaki and Maria Papoutsoglou.
DOI: 10.5281/zenodo.11198588
title: Replication package for paper: "The Current Status of Open Source ERP Systems: A GitHub Analysis"

description: This dataset contains the main data and results of an analysis of open source ERPs (Enterprise Resource Planning) found in GitHub repositories.



erp-repositories-ALL-short-filtered-v2.csv is the main dataset file containing information collected for repositories using the GitHub Search API (11,500 relevant repositories after applying filtering criteria). It is also the main file that can be used for replication purposes of the reserch work.

The remaining files contain results from the analysis on the dataset.


The relevant paper from the 2024 International Conference on Software and Systems Reuse (ICSR) can be used for citing this work: The current status of open source ERP systems: a GitHub analysis, by Georgia M. Kapitsaki and Maria Papoutsoglou.
DOI: 10.5281/zenodo.17720946
title: Direct observational evidence of amplified nitrate formation by the coupled chemical–boundary layer interactions in a Northern China valley
DOI: 10.5281/zenodo.17720947
title: Direct observational evidence of amplified nitrate formation by the coupled chemical–boundary layer interactions in a Northern China valley
DOI: 10.6084/m9.figshare.30644117
title: <b>Global patterns of leaf-level intrinsic water use efficiency in planted and natural forests</b>

description: The detailed experimental treatments and data processing can be found at Materials and Methods section of the publication.
DOI: 10.6084/m9.figshare.30644117.v1
title: <b>Global patterns of leaf-level intrinsic water use efficiency in planted and natural forests</b>

description: The detailed experimental treatments and data processing can be found at Materials and Methods section of the publication.
DOI: 10.25919/4yyb-n023
title: NBDL-HK3SZKVEHDSEQQ
DOI: 10.25919/2xs3-kp17
title: NBDL-HK48NMHKNSCNSJ
DOI: 10.25919/msct-2a56
title: NBDL-HK4A8AEQKAKGPW
DOI: 10.25919/ygn8-zy60
title: NBDL-HK48NMFRPQ0TBD
DOI: 10.15468/dl.kthray
title: Occurrence Download

description: A dataset containing 1843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 14.085278",
 "DecimalLatitude is less than or equal to 19.085278",
 "DecimalLongitude is greater than or equal to -160.0",
 "DecimalLongitude is less than or equal to -155.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1843 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009416-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/e3cw-6p60
title: NBDL-HK3SZKWRPDPWJG
DOI: 10.25919/zkzp-ht28
title: NBDL-HK3SZKX5MDBZEW
DOI: 10.15468/dl.23z2j8
title: Occurrence Download

description: A dataset containing 3239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lutjanus fulviflamma",
 "Year 2000-2025"
 ]
}

 The dataset includes 3239 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009417-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/e9xv-2318
title: NBDL-HK3SZKXJJD8TH8
DOI: 10.25919/ph7p-k152
title: NBDL-HK4B09FSKBNEB4
DOI: 10.25919/73ky-x646
title: NBDL-HK3T5NRTPR6KB6
DOI: 10.25919/h8qh-4d61
title: NBDL-HK4A8AFDQAH5PM
DOI: 10.25919/7t51-yz08
title: NBDL-HK4AMQXFKC8XAE
DOI: 10.25919/sfbf-jr28
title: NBDL-HK4AMQY4GCQ937
DOI: 10.25919/z734-gj22
title: NBDL-HK48NMJAJSBD2B
DOI: 10.25919/v9d7-d358
title: NBDL-HK3SXDXKH32H2B
DOI: 10.25919/2tr6-gn16
title: NBDL-HXDQPBA9HQ53HZ
DOI: 10.25919/9vbw-vr44
title: NBDL-HK4B09J7QDWN1J
DOI: 10.25919/6dad-ym50
title: NBDL-HK3SZKWFGD9VGM
DOI: 10.25919/ry17-5276
title: NBDL-HK48NMJ1GS8WS7
DOI: 10.15468/dl.upmpz6
title: Occurrence Download

description: A dataset containing 4146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lutjanus russellii",
 "Year 2000-2025"
 ]
}

 The dataset includes 4146 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009418-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/7apd-jm67
title: NBDL-HXDQPB9PGQ1FJY
DOI: 10.25919/h74z-0118
title: NBDL-HK4B09GBPDS57F
DOI: 10.25919/6tqp-2741
title: NBDL-HK3T5NRNMR6NNJ
DOI: 10.25919/fp5z-ba65
title: NBDL-HK3T5NSGJR7FDY
DOI: 10.25919/5qfe-9884
title: NBDL-HK4AMQZJMCP7QF