cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.22brfd
title: Occurrence Download

description: A dataset containing 3117236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GenusKey is Pinus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3117236 records from 3568 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062789-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/1037b955-c7b9-42a0-953d-2598783661f6.v2
title: Research data underlying the publication: Shearography pair method for reliable non-destructive inspection of millimeter and submillimeter defects in fiber-reinforced composites

description: This data refers to shearography measurements (in .bmp format) of an aerospace CFRP laminate with flat bottom holes as reference defects (0.4-3.0 mm in diameter) with thermal loading. The data was acquired using a shearing camera including a Pilot piA2400 camera (2456 × 2058 pixels) by Basler with a Linos MeVis-C 1.6/25 lens and a spectral bandpass filter (center wavelength of 532 nm with bandpass of 4 nm). The measurements were conducted in the Aerospace NDT Laboratory of the Delft University of Technology, Faculty of Aerospace Engineering, during July 2023. A Readme file is also included to summarize the dataset description.
DOI: 10.34740/kaggle/dsv/12205648
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.qh44f2
title: Occurrence Download

description: A dataset containing 137677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((130 -2, 132 -2, 132 0, 130 0, 130 -2))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 137677 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054107-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmnsdc
title: Occurrence Download

description: A dataset containing 191542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is IND.30_1",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 191542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054111-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57978/b8a3-ck29
title:  Dataset for the article: Self-reported COVID-19 severity among persons with tuberculosis infection in western Kenya, 2021.
DOI: 10.23729/fd-d55ad23c-c58c-378e-9883-f236b6a82656
title: Jätteenkäsittelyn biohajoavat jätteet

description: Biomassa-atlaksen jätteenkäsittelylaitoksia koskeva aineisto pohjautuu ympäristöhallinnon Ylva-tietojärjestelmään kirjattuihin lähinnä kompostointi-, biokaasu- ja jätepolttoaineen valmistuslaitoksilta lähteneeseen biohajoavien jätteiden jätevirtaan. Aineistoa on jatkokäsitelty Suomen ympäristökeskuksessa. Kompostointi-, biokaasu- ja jätepolttoaineen valmistuslaitokset ovat ympäristölupavelvollisia toimijoita, ja ne raportoivat jätetietoja YLVAan. Laitokset vastaanottavat biohajoavaa jätettä yrityksiltä, mutta myös niiltä toimijoilta, joiden jätemääriä ei ole mukana Biomassa-atlaksen yritysten jätemäärissä (esimerkiksi kotitalouksien, kauppojen, sairaaloiden, koulujen jne. jätteet). Jätteenkäsittelystä lähtevät jätemäärät ovat osittain päällekkäisiä yritysten biohajoavien jätemäärien kanssa. Tästä syystä em. jätemääriä ei pidä tarkastella kartalla yhtä aikaa, summaten. Kompostointi-, biokaasu- ja jätepolttoaineen valmistuslaitoksien biohajoava jätemäärätieto antaa kuitenkin lisäinformaatiota, kun tavoitteena on biohajoavien jätevirtojen ohjaaminen entistä enemmän materiahyödyntämiseen. Lisäksi em. jätteenkäsittelyn jälkeinen jäte on ominaisuuksiltaan erilaista kuin yrityksiltä jätteenkäsittelyyn lähtenyt jätemäärä. Esimerkiksi yrityksiltä jätteenkäsittelyyn toimitettu biojäte muuttuu kompostoivassa jätteenkäsittelyprosessissa kompostituotteeksi.

Biomassa-atlaksen jätteenkäsittelylaitosten biohajoava jätemäärätieto (t/v) on ilmoitettu jäteasetuksen (Vna jätteistä 179/2012, liite 4) mukaisten jäteluokkien mukaan. Lisäksi lietteille on käytössä kirjaintarkenne A-G, joka ilmaisee lietteen käsittelytavan. Biomassa-atlaksessa jätetiedot on edelleen luokiteltu viiteen pääluokkaan edellä mainittujen EWC-jäteluokkakoodien perusteella:
1) eläin- ja kasvijäte,
2) liete,
3) paperi- ja pahvijäte,
4) puujäte ja
5) sekajäte.
Pääluokkien lisäksi jätemäärätiedot jakautuvat vielä tarkemmin 62 alaluokkaan. Jäteluokitus on esitetty Biomassa-atlaksen verkkosivulla.

Tiedot päivitetään Biomassa-atlakseen kerran vuodessa. Viimeisin päivitys koskee vuotta 2020. Jätemäärätiedoista ei käy ilmi yksittäisen jätteentuottajan nimeä.
DOI: 10.15468/dl.arxhb3
title: Occurrence Download

description: A dataset containing 148218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia artemisiifolia L."
 ]
}

 The dataset includes 148218 records from 864 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054113-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycpxs5
title: Occurrence Download

description: A dataset containing 2310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Norway",
 "DatasetKey is one of (Population research on small rodents (Rodentia) and shrews (Soricidae) in Lierne Municipality – Norway; 1988 – 2017 based on systematic catches with ordinary mouse traps in traplines, iNaturalist Research-grade Observations, Biofokus, Naturbase - funksjonsområder for arter, Norwegian Biodiversity Information Centre - Other datasets, Skandobs, Villreinobservasjoner, Birds and other animals from Fuglevennen.no, Observation.org, Nature data from around the World)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus timidus Linnaeus, 1758"
 ]
}

 The dataset includes 2310 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054118-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57978/9eqa-8s37
title: Dataset for the article: Evaluation of a digital entomological surveillance planning tool for malaria vector control: Three country mixed methods pilot study.
DOI: 10.15468/dl.mkxzmt
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.26936 45.87076,9.45541 45.87076,9.45541 45.94513,9.26936 45.94513,9.26936 45.87076))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Campanula thyrsoides L."
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054119-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvxw4x
title: Occurrence Download

description: A dataset containing 14990 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vachellia tortilis (Forssk.) Galasso & Banfi"
 ]
}

 The dataset includes 14990 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054121-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57978/lstm-q70s-qr85
title: Dataset for the article: Standards-based audit to improve quality of maternal and newborn care – a stepped-wedge cluster randomised trial in Malawi
DOI: 10.5281/zenodo.15689494
title: TechManualQA-350: A Validated Synthetic Question-Answering Benchmark for Technical Manuals

description: This archive contains the full dataset and validation artifacts associated with the CIKM 2025 paper: "A Semi-Automated Pipeline for Synthetic Generation of Grounded, Structurally-Aware QA Datasets for Technical Manuals".

The primary resource is the TechManualQA-350 benchmark, a question-answering dataset containing 350 validated pairs from 10 diverse technical manuals (e.g., home appliances, power tools). The dataset is designed to evaluate Large Language Model (LLM) performance on technical documents and is balanced across three primary question types: General (for factual recall), Procedural (for multi-step guidance), and Unanswerable (for testing hallucination resistance).

Methodology Overview:

The dataset was created using a semi-automated pipeline. A long-context LLM (Gemini 1.5 Pro) generated initial candidates from full-text manuals. These candidates were then refined through a rigorous automated filtering cascade that included semantic deduplication, RAGAS for grounding checks, and a GPT-4.1 model as a quality judge. The final selection was validated by two human annotators to ensure high data quality and reliability, achieving an average Cohen's Kappa of κ=0.82.

Contents of this Archive:



TechManualQA_350.jsonl: The complete benchmark dataset containing 350 question-answering pairs.

human_annotation/: A directory containing the raw, filled-out Excel files from our two annotators (A and B) for both the general and procedural audit tasks. This data is provided for full reproducibility of our inter-rater reliability analysis.

README.md: A file explaining the schema of the main JSONL dataset file.

LICENSE: The dataset is provided under the CC-BY 4.0 license.


The source code for the generation and analysis pipeline is available on GitHub at [https://github.com/tduricic/cikm2025-techmanualqa].
DOI: 10.5281/zenodo.15689495
title: TechManualQA-350: A Validated Synthetic Question-Answering Benchmark for Technical Manuals

description: This archive contains the full dataset and validation artifacts associated with the CIKM 2025 paper: "A Semi-Automated Pipeline for Synthetic Generation of Grounded, Structurally-Aware QA Datasets for Technical Manuals".

The primary resource is the TechManualQA-350 benchmark, a question-answering dataset containing 350 validated pairs from 10 diverse technical manuals (e.g., home appliances, power tools). The dataset is designed to evaluate Large Language Model (LLM) performance on technical documents and is balanced across three primary question types: General (for factual recall), Procedural (for multi-step guidance), and Unanswerable (for testing hallucination resistance).

Methodology Overview:

The dataset was created using a semi-automated pipeline. A long-context LLM (Gemini 1.5 Pro) generated initial candidates from full-text manuals. These candidates were then refined through a rigorous automated filtering cascade that included semantic deduplication, RAGAS for grounding checks, and a GPT-4.1 model as a quality judge. The final selection was validated by two human annotators to ensure high data quality and reliability, achieving an average Cohen's Kappa of κ=0.82.

Contents of this Archive:



TechManualQA_350.jsonl: The complete benchmark dataset containing 350 question-answering pairs.

human_annotation/: A directory containing the raw, filled-out Excel files from our two annotators (A and B) for both the general and procedural audit tasks. This data is provided for full reproducibility of our inter-rater reliability analysis.

README.md: A file explaining the schema of the main JSONL dataset file.

LICENSE: The dataset is provided under the CC-BY 4.0 license.


The source code for the generation and analysis pipeline is available on GitHub at [https://github.com/tduricic/cikm2025-techmanualqa].
DOI: 10.15468/dl.kqvsyu
title: Occurrence Download

description: A dataset containing 61670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.62918 54.91529,12.22714 55.39086,7.79282 55.36982,6.93008 54.89616,6.07757 54.76617,4.67978 53.65952,4.95799 49.57088,6.1044 49.32953,7.31258 46.86817,12.41892 47.08533,13.13105 47.1362,15.09397 48.52191,14.02969 49.86603,15.54621 50.37033,15.60259 51.08414,15.20791 53.89803,13.62918 54.91529))",
 "HasGeospatialIssue is false",
 "TaxonKey is Heracleum mantegazzianum Sommier & Levier"
 ]
}

 The dataset includes 61670 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054112-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15689046
title: Data and code for Deilmann et al. 2025. "Temperate forest floor bryophytes functionally respond to small-scale variability in water, light and nutrient availability". Ecology and Evolution

description: This dataset contains all raw data and code used in the study to produce figures and analyses as can be seen in the publication. Raw data contains weekly vegetation surveys of mosses and measurements of environmental weather and soil variables along several transects in two coniferous forests in the Saale-Elster-Sandsteinplatte Observatory (SESO) in Central Germany in 2022. Furthermore, all R code is included that was used for the publication.
DOI: 10.5281/zenodo.15689047
title: Data and code for Deilmann et al. 2025. "Temperate forest floor bryophytes functionally respond to small-scale variability in water, light and nutrient availability". Ecology and Evolution

description: This dataset contains all raw data and code used in the study to produce figures and analyses as can be seen in the publication. Raw data contains weekly vegetation surveys of mosses and measurements of environmental weather and soil variables along several transects in two coniferous forests in the Saale-Elster-Sandsteinplatte Observatory (SESO) in Central Germany in 2022. Furthermore, all R code is included that was used for the publication.
DOI: 10.57978/lstm.00021510
title: Dataset for the article: Different PfEMP1-expressing Plasmodium falciparum variants induce divergent endothelial transcriptional responses during co-culture
DOI: 10.25505/fiz.icsd.cc2nrdnh
title: CSD 2465357: Experimental Crystal Structure Determination

description: Related Article: yux Deng|2025|ICSD Communication|||
description: Related Article: yux Deng|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.hkdbat
title: Occurrence Download

description: A dataset containing 149255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Norway",
 "DatasetKey is one of (Population research on small rodents (Rodentia) and shrews (Soricidae) in Lierne Municipality – Norway; 1988 – 2017 based on systematic catches with ordinary mouse traps in traplines, iNaturalist Research-grade Observations, Biofokus, Naturbase - funksjonsområder for arter, Norwegian Biodiversity Information Centre - Other datasets, Skandobs, Villreinobservasjoner, Birds and other animals from Fuglevennen.no, Observation.org, Nature data from around the World)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 149255 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054117-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/7kjgx
title: Extending the inventory routing problem to support integrated decision-making in an urban distribution network
DOI: 10.15468/dl.4w8axr
title: Occurrence Download

description: A dataset containing 47727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2024-2025"
 ]
}

 The dataset includes 47727 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054122-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57978/lstm.00021509
title: Dataset for the article: A cross-sectional study of asthma in schoolchildren in an informal (slum) settlement and a more affluent residential area of Nairobi, Kenya: the Tupumue study

description: Contains the protocol and data used to produce this manuscript: A cross-sectional study of asthma in schoolchildren in an informal (slum) settlement and a more affluent residential area of Nairobi, Kenya: the Tupumue study Data comprises respiratory symptom, lung function and air pollution data for children aged &lt;=18 years attending schools in the informal settlement of Mukuru in Nairobi and those attending schools in the adjacent more affluent residential area of Buruburu. This dataset is made available under the Creative Commons Licence Attribution 4.0 International v4.0 (CC BY 4.0). Full details of the licence can be found at https://creativecommons.org/licenses/by/4.0/"
DOI: 10.5281/zenodo.15686210
title: Usability and Safety of a National Automated Urine Output Monitoring Device: Mixed-Methods Evaluation Across Simulated and Clinical Settings

description: Automated urine output monitoring is a promising strategy to optimize clinical management in intensive care units (ICUs), offering improved accuracy, traceability, and reduced manual errors. This study aimed to evaluate the safety, effectiveness, and usability of automated urine measurement devices through a systematic review and the analysis of a novel domestically developed device tailored to the Brazilian hospital context.

The systematic review was registered in PROSPERO (registration number to be included) and followed PRISMA guidelines. A total of 553 studies were identified across databases such as PubMed, Cochrane, Scopus, and LILACS, with 15 meeting inclusion criteria. Results indicate that automated devices outperform traditional methods in measurement accuracy and reduce healthcare workers’ exposure to biological materials. However, barriers such as calibration requirements, clinical integration challenges, and lack of formal usability testing still hinder widespread adoption.

Complementarily, the usability of the national urine output monitor was assessed through formative testing, summative evaluation, and a clinical trial. The device met international performance standards, with a satisfactory System Usability Scale (SUS) score and positive user feedback. Nonetheless, critical areas for improvement were identified, particularly regarding interface design and visual feedback.

These findings underscore the role of usability assessment in the certification of medical devices and position the national urine output monitor as a viable, adaptable solution for the Brazilian healthcare system.
DOI: 10.5281/zenodo.15686209
title: Usability and Safety of a National Automated Urine Output Monitoring Device: Mixed-Methods Evaluation Across Simulated and Clinical Settings

description: Automated urine output monitoring is a promising strategy to optimize clinical management in intensive care units (ICUs), offering improved accuracy, traceability, and reduced manual errors. This study aimed to evaluate the safety, effectiveness, and usability of automated urine measurement devices through a systematic review and the analysis of a novel domestically developed device tailored to the Brazilian hospital context.

The systematic review was registered in PROSPERO (registration number to be included) and followed PRISMA guidelines. A total of 553 studies were identified across databases such as PubMed, Cochrane, Scopus, and LILACS, with 15 meeting inclusion criteria. Results indicate that automated devices outperform traditional methods in measurement accuracy and reduce healthcare workers’ exposure to biological materials. However, barriers such as calibration requirements, clinical integration challenges, and lack of formal usability testing still hinder widespread adoption.

Complementarily, the usability of the national urine output monitor was assessed through formative testing, summative evaluation, and a clinical trial. The device met international performance standards, with a satisfactory System Usability Scale (SUS) score and positive user feedback. Nonetheless, critical areas for improvement were identified, particularly regarding interface design and visual feedback.

These findings underscore the role of usability assessment in the certification of medical devices and position the national urine output monitor as a viable, adaptable solution for the Brazilian healthcare system.
DOI: 10.15468/dl.7vcy6v
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amynthas agrestis (Goto & Hatai, 1899)"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054123-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crsmdd
title: Occurrence Download

description: A dataset containing 219211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.33393 46.79658,16.10845 46.79658,16.10845 55.39544,4.33393 55.39544,4.33393 46.79658))",
 "HasGeospatialIssue is false",
 "TaxonKey is Impatiens glandulifera Royle"
 ]
}

 The dataset includes 219211 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054114-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.