cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr39611
title: Developing Bayesian Methods for Noninferiority Trial in Comparative Effectiveness Research [Methods Study], United States, 2015-2020
title: Archival Version

description: Researchers usually design studies to find out if a new treatment works better than no treatment or better than a treatment that is currently used. But sometimes researchers may want to know that a new treatment is not worse than one that's in use. These studies are called non-inferiority, or NI, studies. Researchers conduct NI studies when a new treatment has other benefits such as fewer side effects, even though it may not work better than the one in use. NI studies can provide useful information, but they are hard to design and conduct.
In this study, the research team tested different statistical methods for NI studies that compare treatments.
 To access the methods and software, please visit the following Github repositories:

Poisson3armNI 
Binary3armNI 
bayesianSWcontinuous 
SMART3armNI
description: To develop, evaluate, and apply novel adaptive bayesian statistical techniques to NI-based RCTs for CER. The specific aims are (1) conduct a prior elicitation based on multiple sources, including historical trials and patient and clinician opinions about treatments; (2) perform a meta-analysis that combined several priors into a super-prior; and (3) develop bayesian methods for the 2-arm and 3-arm NI
trials
description: The research team proposed two ways of constructing a non-inferiority margin defined on the RR using a frequentist approach. Using the approach that resulted in greater power, the team developed a frequentist method, a fully Bayesian method, and two Bayesian approximation methods for hypothesis testing using RRs and ORs. The fully Bayesian method is more precise but computationally more demanding compared with the approximation methods.
Then the research team conducted simulation studies to evaluate the performance of the frequentist and Bayesian methods. Finally, the team tested the methods using a published data set from a study comparing the efficacy and safety of antibiotics for the treatment of complicated skin and skin structure infections with those of the standard therapy.
description: Datasets: 
DS1: Developing Bayesian Methods for Noninferiority Trial in Comparative Effectiveness Research [Methods Study], United States, 2015-2020
DOI: 10.3886/icpsr39611.v1
title: Developing Bayesian Methods for Noninferiority Trial in Comparative Effectiveness Research [Methods Study], United States, 2015-2020
title: Version 1

description: Researchers usually design studies to find out if a new treatment works better than no treatment or better than a treatment that is currently used. But sometimes researchers may want to know that a new treatment is not worse than one that's in use. These studies are called non-inferiority, or NI, studies. Researchers conduct NI studies when a new treatment has other benefits such as fewer side effects, even though it may not work better than the one in use. NI studies can provide useful information, but they are hard to design and conduct.
In this study, the research team tested different statistical methods for NI studies that compare treatments.
 To access the methods and software, please visit the following Github repositories:

Poisson3armNI 
Binary3armNI 
bayesianSWcontinuous 
SMART3armNI
description: To develop, evaluate, and apply novel adaptive bayesian statistical techniques to NI-based RCTs for CER. The specific aims are (1) conduct a prior elicitation based on multiple sources, including historical trials and patient and clinician opinions about treatments; (2) perform a meta-analysis that combined several priors into a super-prior; and (3) develop bayesian methods for the 2-arm and 3-arm NI
trials
description: The research team proposed two ways of constructing a non-inferiority margin defined on the RR using a frequentist approach. Using the approach that resulted in greater power, the team developed a frequentist method, a fully Bayesian method, and two Bayesian approximation methods for hypothesis testing using RRs and ORs. The fully Bayesian method is more precise but computationally more demanding compared with the approximation methods.
Then the research team conducted simulation studies to evaluate the performance of the frequentist and Bayesian methods. Finally, the team tested the methods using a published data set from a study comparing the efficacy and safety of antibiotics for the treatment of complicated skin and skin structure infections with those of the standard therapy.
description: Datasets: 
DS1: Developing Bayesian Methods for Noninferiority Trial in Comparative Effectiveness Research [Methods Study], United States, 2015-2020
DOI: 10.71802/c7i1m1ge
title: 2025_10 SlowScience - CRAC Fare divulgazione scientifica per ragazze e ragazzi

description: Tecnoscienza è un progetto made in Bologna che dal 2006 fa divulgazione della scienza e della sostenibilità in contesti nazionali e internazionali attraverso la produzione di libri che esplorano vari tipi di narrazione. Oggi presenteremo la loro ultima realizzazione, il libro illustrato CRAC (Camelozampa, Premio Un libro per l'ambiente 2025). La vita nasce se qualcosa fa CRAC: dalle stelle che esplodono nel buio dello spazio al pianeta Terra, che in continuo si trasforma, dai funghi che silenziosi lavorano nel sottosuolo ai frammenti di mondo che chiamiamo cibo. La storia dell’universo, e quella di ognuno di noi, è la storia di una serie di CRAC: perché senza distruggere non si può creare nulla di nuovo. CRAC è un libro illustrato di divulgazione scientifica che parla delle cose che si rompono e che generano opportunità.

__Lorenzo Monaco__ (Tecnoscienza) e __Matteo Pompili__ (Tecnoscienza) dialogano con __Paola De Nuntiis__ (CNR-ISAC)
DOI: 10.15468/dl.pq2h9k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((90.03423100000001 25.410497, 89.95649400000001 25.40492, 89.880692 25.388327, 89.80871 25.361131, 89.74233599999999 25.32401, 89.68321299999999 25.277884, 89.6328 25.2239, 89.59233500000001 25.163396, 89.562804 25.097869, 89.54491899999999 25.028941, 89.539103 24.958311, 89.54547700000001 24.887721, 89.56386500000001 24.818907, 89.593795 24.75356, 89.634517 24.693281, 89.685019 24.639547, 89.74405299999999 24.593672, 89.810171 24.556776, 89.881753 24.529759, 89.957052 24.513281, 90.03423100000001 24.507744, 90.11141000000001 24.513281, 90.18670899999999 24.529759, 90.258291 24.556776, 90.324409 24.593672, 90.383444 24.639547, 90.43394499999999 24.693281, 90.474667 24.75356, 90.504597 24.818907, 90.52298500000001 24.887721, 90.52936 24.958311, 90.523543 25.028941, 90.50565899999999 25.097869, 90.476128 25.163396, 90.43566199999999 25.2239, 90.385249 25.277884, 90.326126 25.32401, 90.25975200000001 25.361131, 90.18777 25.388327, 90.111968 25.40492, 90.03423100000001 25.410497))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081585-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.18186125
title: Signal Propagation in LOV-Based Multidomain Proteins: Time-Resolved Infrared Spectroscopy Reveals the Complete Photocycle of YF1 and PAL - DATA

description: Data supporting: "Signal Propagation in LOV-Based Multidomain Proteins: Time-Resolved Infrared Spectroscopy Reveals the Complete Photocycle of YF1 and PAL", Physical Chemistry Chemical Physics, Available online 08 January 2026. https://doi.org/10.1039/D5CP03982G
DOI: 10.5281/zenodo.18186126
title: Signal Propagation in LOV-Based Multidomain Proteins: Time-Resolved Infrared Spectroscopy Reveals the Complete Photocycle of YF1 and PAL - DATA

description: Data supporting: "Signal Propagation in LOV-Based Multidomain Proteins: Time-Resolved Infrared Spectroscopy Reveals the Complete Photocycle of YF1 and PAL", Physical Chemistry Chemical Physics, Available online 08 January 2026. https://doi.org/10.1039/D5CP03982G
DOI: 10.34740/kaggle/dsv/14435540
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.rh5cds
title: Occurrence Download

description: A dataset containing 219330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Impatiens parviflora"
 ]
}

 The dataset includes 219330 records from 729 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081547-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhx4sa
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Hedysarum songaricum"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081586-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17898072
title: FutuRaM - Stock and Flow and Recovery Data – WEEE

description: These datasets are part of the FutuRaM deliverable D4.1 "Future trends of Secondary Raw Materials and Critical Raw Materials" and presents the results from the stock and flow and the recovery model for WEEE. These dataset have been used to develop the FutuRaM Urban Mine Platform.
DOI: 10.5281/zenodo.17898073
title: FutuRaM - Stock and Flow and Recovery Data – WEEE

description: These datasets are part of the FutuRaM deliverable D4.1 "Future trends of Secondary Raw Materials and Critical Raw Materials" and presents the results from the stock and flow and the recovery model for WEEE. These dataset have been used to develop the FutuRaM Urban Mine Platform.
DOI: 10.15468/dl.7ut8ct
title: Occurrence Download

description: A dataset containing 1473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemur catta"
 ]
}

 The dataset includes 1473 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081587-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unv4bq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia grisea Standl."
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006184-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwbp9w
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnelus popovi (Taranetz & Andriashev, 1935)"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034299-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjddwz
title: Occurrence Download

description: A dataset containing 1201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guatteria schomburgkiana Mart.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1201 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033670-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxczwp
title: Occurrence Download

description: A dataset containing 4555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centrolenidae"
 ]
}

 The dataset includes 4555 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006185-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brz7yd
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyalopoa pontica (Balansa) Tzvelev",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034313-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85e2w9
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((35.85852 8.6604,94.71916 8.6604,94.71916 48.2028,35.85852 48.2028,35.85852 8.6604))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis cineraria (L.) Druce",
 "Year 1990-2022"
 ]
}

 The dataset includes 62 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003332-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jqqn7
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Physalis cinerascens (Dunal) Hitchc."
 ]
}

 The dataset includes 375 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006196-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpnrqq
title: Occurrence Download

description: A dataset containing 1025 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Holoptelea grandis (Hutch.) Mildbr.)"
 ]
}

 The dataset includes 1025 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161244-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqtcyz
title: Occurrence Download

description: A dataset containing 455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Zea mays L."
 ]
}

 The dataset includes 455 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003352-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wg22et
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia griffinii Ruiz Terán & López-Fig."
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006186-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5udaxj
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudochromis cyanotaenia Bleeker, 1857"
 ]
}

 The dataset includes 629 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034317-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzp9u9
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithodes couesi J.E.Benedict, 1895"
 ]
}

 The dataset includes 484 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123377-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gwaj9
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((35.85852 8.6604,94.71916 8.6604,94.71916 48.2028,35.85852 48.2028,35.85852 8.6604))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis cineraria (L.) Druce",
 "Year 1990-2022"
 ]
}

 The dataset includes 57 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003338-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8g6yc
title: Occurrence Download

description: A dataset containing 1949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus hypocrita Pérez, 1905",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1949 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188151-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.778tye
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1499.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panicum amarum Elliott"
 ]
}

 The dataset includes 297 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123371-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v89cgk
title: Occurrence Download

description: A dataset containing 13584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gratiola officinalis L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13584 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033655-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usumr9
title: Occurrence Download

description: A dataset containing 1983 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gobiomorus dormitor Lacepède, 1800"
 ]
}

 The dataset includes 1983 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034350-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duw9wa
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Asio otus (Linnaeus, 1758)"
 ]
}

 The dataset includes 385 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003341-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3vmaa
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhadinaea taeniata (Peters, 1863)"
 ]
}

 The dataset includes 269 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123384-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc3w62
title: Occurrence Download

description: A dataset containing 20735 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lindera benzoin (L.) Meisn."
 ]
}

 The dataset includes 20735 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034316-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.db4rhs
title: Occurrence Download

description: A dataset containing 1162861 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is MDG"
 ]
}

 The dataset includes 1162861 records from 801 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003350-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1198573.10fu
title: SH1198573.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.