cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rg8kjt
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eriobotrya japonica (Thunb.) Lindl."
 ]
}

 The dataset's 1 records were derived from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005408-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e217165
title: Texas EFNEP

description: Data used to analyze the impact of Texas EFNEP on participant's dietary changes.
DOI: 10.3886/e217165v1
title: Texas EFNEP

description: Data used to analyze the impact of Texas EFNEP on participant's dietary changes.
DOI: 10.25934/pr00010137
title: Predicting Placebo Response in Major Depressive Disorder on Clinical Trials Data Using Artificial Intelligence (AI)/Machine Learning (ML) on Clinical Data

description: 
Depression is a multifaceted condition that impacts over 350 million individuals globally. Its diagnosis and treatment are challenging due to the heterogeneous nature of its manifestations, complicating the identification of effective therapeutic interventions. Notably, approximately 30% of individuals diagnosed with Major Depressive Disorder (MDD) exhibit treatment-resistant depression (TRD), emphasizing the necessity for treatments that are customized to the specific needs of each patient.

The placebo effect is a significant phenomenon in this context, wherein individuals experience symptomatic improvement following the administration of a treatment lacking active therapeutic ingredients, driven solely by the belief that they are receiving an actual treatment. This phenomenon underscores the powerful influence of psychological factors on health outcomes and presents a substantial challenge in clinical trials for novel antidepressants, as it can obscure the true efficacy of the investigational drug.

To address these challenges, researchers are increasingly utilizing clinical data to identify biomarkers predictive of this responses. By employing machine learning techniques to analyze clinical data, we aim to uncover patterns indicative of a patient’s potential response to placebo treatments. Identifying placebo responders can also help enhance the accuracy of effect size estimation for active interventions. When researchers can account for individuals who respond largely due to placebo mechanisms, the measured difference between the treatment and control groups becomes more precise. Consequently, effect sizes for genuinely effective medications are less likely to be diluted or confounded, leading to clearer insights into a drug’s true therapeutic valueю Ultimately, these findings enable more personalized treatment strategies, improving outcomes for individuals suffering from depression and other conditions.
DOI: 10.15468/dl.cbbp9s
title: Occurrence Download

description: A dataset containing 669 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zestusa dorus (Edwards, 1882)"
 ]
}

 The dataset includes 669 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005418-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ujqqc
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cossypha archeri Sharpe, 1902"
 ]
}

 The dataset includes 1791 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005417-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15124/c1735d64-db1e-41a3-9729-45dbf505dcfc
title: Self-limiting trade-off between CO yield and CO2 conversion energy efficiency in atmospheric pressure Ar-CO2 plasmas: picosecond laser spectroscopy

description: Embargoed until the publication of the associated research paper
DOI: 10.6084/m9.figshare.25676209
title: EnSiWiki-2020 corpus for textual complexity modelling

description: The EnSiWiki-2020 Corpus is designed for modeling textual complexity using paired articles from Simple English and standard English Wikipedia. It employs two key sampling methods: age-based ranking and pair-based sampling. Age-based ranking ensures the inclusion of mature, high-quality articles while controlling for differing Wikipedia growth rates. Pair-based sampling links Simple-English articles with their standard English counterparts, enabling resampling and train-test splits at the group (pair) level. This minimizes overfitting to specific topics and helps disentangle complexity from meaning. These characteristics make EnSiWiki-2020 well-suited for training models to capture readability and textual complexity.DescriptionThe EnSiWiki dataset comprises Wikipedia pages sampled from Simple-English and standard English Wikipedia as of April 1, 2020. The dataset includes a total of 311,656 pages, with metadata including the age rank of each pair. This metadata facilitates the selection of matured pairs, which are more likely to reflect the intended quality level and writing style of both Wikipedia versions.Data File and StructureData are stored in in `.db` (SQLite3) format, facilitating easy access of the text data. The database file <code>ensiwiki2020.db</code> contains two tables: Pages and Pairs. Pages details individual articles, Pairs links Simple English articles with their standard English counterparts. Specific columns are:<b>Table Pages:</b>`id`: Article identifier.`page_id`: Article identifier used by Wikipedia.`lang`: Either 'english' or 'simple'.`title`, `text`: Full-text of Wikipedia articles, parsed using the JWPL MediaWiki parser (see https://dkpro.github.io/dkpro-jwpl/JWPLParser/).`pairs_id`: Pair identifier.`simple_agerank`, `english_agerank`: Rank of articles after sorting them by age, based on their first-revision date.`agerank`: Mean rank of both simple and english ranks.`is_disambiguation`, `is_discussion`, `redirect_count`, `stub_count`: Metadata columns summarizing Wikipedia tags of disambiguation, discussion, redirect, and stub pages aggregated per pair.`min_word_count`, `min_sentence_count`: The smallest word count and sentence count of either of the articles within a pair.<b>Table Pairs:</b>`id`: Pair identifier.`simple_id`, `english_id`: Article identifiers from table Pages.PurposeThe <b>EnSiWiki-2020 Corpus</b> is designed to detect interactions between various readability features, making it ideal for training textual complexity models. It includes age rank and additional metadata to ensure the quality and maturity of the articles, facilitating its validity for training purposes.Licensing<b>EnSiWiki-2020</b>: Wikipedia articles are shared under the CC-BY 4.0 license, which allows for redistribution and reuse under certain conditions.
DOI: 10.6084/m9.figshare.25676209.v1
title: EnSiWiki-2020 corpus for textual complexity modelling

description: The EnSiWiki-2020 Corpus is designed for modeling textual complexity using paired articles from Simple English and standard English Wikipedia. It employs two key sampling methods: age-based ranking and pair-based sampling. Age-based ranking ensures the inclusion of mature, high-quality articles while controlling for differing Wikipedia growth rates. Pair-based sampling links Simple-English articles with their standard English counterparts, enabling resampling and train-test splits at the group (pair) level. This minimizes overfitting to specific topics and helps disentangle complexity from meaning. These characteristics make EnSiWiki-2020 well-suited for training models to capture readability and textual complexity.DescriptionThe EnSiWiki dataset comprises Wikipedia pages sampled from Simple-English and standard English Wikipedia as of April 1, 2020. The dataset includes a total of 311,656 pages, with metadata including the age rank of each pair. This metadata facilitates the selection of matured pairs, which are more likely to reflect the intended quality level and writing style of both Wikipedia versions.Data File and StructureData are stored in in `.db` (SQLite3) format, facilitating easy access of the text data. The database file <code>ensiwiki2020.db</code> contains two tables: Pages and Pairs. Pages details individual articles, Pairs links Simple English articles with their standard English counterparts. Specific columns are:<b>Table Pages:</b>`id`: Article identifier.`page_id`: Article identifier used by Wikipedia.`lang`: Either 'english' or 'simple'.`title`, `text`: Full-text of Wikipedia articles, parsed using the JWPL MediaWiki parser (see https://dkpro.github.io/dkpro-jwpl/JWPLParser/).`pairs_id`: Pair identifier.`simple_agerank`, `english_agerank`: Rank of articles after sorting them by age, based on their first-revision date.`agerank`: Mean rank of both simple and english ranks.`is_disambiguation`, `is_discussion`, `redirect_count`, `stub_count`: Metadata columns summarizing Wikipedia tags of disambiguation, discussion, redirect, and stub pages aggregated per pair.`min_word_count`, `min_sentence_count`: The smallest word count and sentence count of either of the articles within a pair.<b>Table Pairs:</b>`id`: Pair identifier.`simple_id`, `english_id`: Article identifiers from table Pages.PurposeThe <b>EnSiWiki-2020 Corpus</b> is designed to detect interactions between various readability features, making it ideal for training textual complexity models. It includes age rank and additional metadata to ensure the quality and maturity of the articles, facilitating its validity for training purposes.Licensing<b>EnSiWiki-2020</b>: Wikipedia articles are shared under the CC-BY 4.0 license, which allows for redistribution and reuse under certain conditions.
DOI: 10.17172/nomad/2025.01.30-1
title: NOMAD dataset: Cu3BHT-graphene
DOI: 10.3886/e211161
title: ECIN Replication Package for "A closer look at Doleac and Mukherjee (2022) and the effects of naloxone access laws on opioid ER admissions"

description: The replication materials provided here are associated with the study with the following abstract:<br><br>Doleac and Mukherjee (2022) conclude that broadening access to a life-saving drug – naloxone – does not reduce opioid-related mortality as the drug simultaneously encourages riskier drug use. I show issues with their data, design, and estimation methods. For example, their Google Search data has an unverifiable origin, the law timing is incorrect, and the statistical inference is invalid. Correcting these issues within a triple difference design shows that naloxone, contrary to their findings, does not increase ER opioid admissions. I conclude that the moral hazard (and the ensuing adverse consequences) of naloxone use lacks empirical support.
DOI: 10.3886/e211161v5-165676
title: ECIN Replication Package for "A closer look at Doleac and Mukherjee (2022) and the effects of naloxone access laws on opioid ER admissions"

description: The replication materials provided here are associated with the study with the following abstract:<br><br>Doleac and Mukherjee (2022) conclude that broadening access to a life-saving drug – naloxone – does not reduce opioid-related mortality as the drug simultaneously encourages riskier drug use. I show issues with their data, design, and estimation methods. For example, their Google Search data has an unverifiable origin, the law timing is incorrect, and the statistical inference is invalid. Correcting these issues within a triple difference design shows that naloxone, contrary to their findings, does not increase ER opioid admissions. I conclude that the moral hazard (and the ensuing adverse consequences) of naloxone use lacks empirical support.
DOI: 10.6084/m9.figshare.28314545
title: Free volatile aroma compounds in young Corvina wine from Harvests of 2023.

description: Free volatile aroma compounds in Corvina wine from Harvests of 2022. Results are reported in µg/L only those marked with * are reported as ng/L. Obtained from three replicates. 38 vineyards.
DOI: 10.6084/m9.figshare.28314545.v1
title: Free volatile aroma compounds in young Corvina wine from Harvests of 2023.

description: Free volatile aroma compounds in Corvina wine from Harvests of 2022. Results are reported in µg/L only those marked with * are reported as ng/L. Obtained from three replicates. 38 vineyards.
DOI: 10.15468/dl.3nmryj
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agave fourcroydes Lem., Agave rigida var. elongata Baker, Agave fourcroydes var. espiculata L.H.Dewey, Agave rigida subsp. elongata Baker, Agave sullivanii Trel., Agave fourcroydes subsp. espiculata Dewey)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 154 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005421-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4p7u3k
title: Occurrence Download

description: A dataset containing 1008753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sus scrofa Linnaeus, 1758",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1008753 records from 3052 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005414-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pf248n
title: Occurrence Download

description: A dataset containing 1350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Batrachuperus tibetanus Schmidt, 1925"
 ]
}

 The dataset includes 1350 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282396-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s84h9s
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-74.12756 4.63035,-74.12066 4.62693,-74.11589 4.63872,-74.12186 4.64043,-74.12756 4.63035))",
 "Geometry POLYGON((-74.12006 4.62674,-74.1268 4.62951,-74.13916 4.60272,-74.12905 4.59787,-74.12605 4.60285,-74.12006 4.62674))"
 ]
 },
 "HasGeospatialIssue is false",
 "TaxonKey is Zenaida auriculata (Des Murs, 1847)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179282-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx6z8n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithops pseudotruncatella (A.Berger) N.E.Br.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201128-220831081235567/datasets/export for details.
DOI: 10.15468/dl.9ngs2g
title: Occurrence Download

description: A dataset containing 8527525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2018-2023"
 ]
}

 The dataset includes 8527525 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261164-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmrs2c
title: Occurrence Download

description: A dataset containing 136993 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chelonia mydas (Linnaeus, 1758)"
 ]
}

 The dataset includes 136993 records from 419 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184416-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.df5q59
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyptis guanchezii Harley"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251722-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pu3sq
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania anthelmintica (L.) Mosyakin & Clemants",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 136 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201144-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a8hx6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Krascheninnikovia ceratoides (L.) Gueldenst.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201147-220831081235567/datasets/export for details.
DOI: 10.15468/dl.t95sp6
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lappula semiglabra (Ledeb.) Gürke",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 274 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261221-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kn7ta
title: Occurrence Download

description: A dataset containing 490722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tussilago farfara L.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 490722 records from 1472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261229-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwzzkr
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isochilus bracteatus (Lex.) Espejo & López-Ferr.",
 "Geometry POLYGON((-106 14,-106 24,-92 24,-92 14,-106 14))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006651-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4pkny
title: Occurrence Download

description: A dataset containing 1206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Ajuste de los planes de manejo ambiental de los humedales del departamento de Tolima - Fase VII: Caracterización biológica y ambiental de seis humedales"
 ]
}

 The dataset includes 1206 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039292-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lvgzoo
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave palmeri Engelm."
 ]
}

 The dataset includes 361 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006651-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yty2rs
title: Occurrence Download

description: A dataset containing 5544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lactuca L., Brassica L., Raphanus L., Apium L., Asparagus Tourn. ex L., Daucus L., Spinacia L., Cichorium L., Eruca Mill., Diplotaxis DC., Allium L., Valerianella Mill., Beta L., Rubus L., Fragaria L., Solanum L., Capsicum L., Cucumis L., Cucurbita L., Citrullus Schrad. ex Eckl. & Zeyh., Foeniculum Hill)"
 ]
}

 The dataset includes 5544 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139145-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7442k3
title: Occurrence Download

description: A dataset containing 2493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Armigeres subalbatus (Coquillett, 1898)"
 ]
}

 The dataset includes 2493 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016389-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmo1aw
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picumnus spilogaster Sundevall, 1866",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006651-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68bxjb
title: Occurrence Download

description: A dataset containing 849 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Claytonia rosea Rydb."
 ]
}

 The dataset includes 849 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139149-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0jedwv
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Obstwiese Osterberg"
 ]
}

 The dataset includes 110 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006651-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbbf7p
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cleisocentron gokusingii J.J.Wood & A.Lamb"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139163-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.