cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8215035
title: Udmurt spatial cases dataset

description: This is a dataset and accompanying R code for studying the variation between the two source cases (elative and egressive) and goal cases (illative and terminative). The data folder include four files including data for analysing the effect of properties of the Landmark and the associated verb form on the choice between the source and goal cases. The script folder contains four R markdown files, which contain the code to analyse the four data files.

The data set is manually annotated for various variables that are hypotethised to affect the choice between the pairs of cases. Not all the variables are used in the analysis presented. 

In V2.0 the R code is heavily changed. Only the code in files R_goal3 and R_source3 should be used in analysis. The data files are the same in both versions, but in V2.0 they have been checked and some minor mistakes have been fixed. Therefore, only the data files in the new version should be used if replicationg the analysis represented by the code in files R_goal3 and R_source3.

The author of this dataset is Riku Erkkilä and it is published under CC-BY-NC-ND licence. If used in a publication, please refer to this publication as well as mention the original source:

Arkhangelskiy, Timofey 2018: Udmurt corpus. http://udmurt.web-corpora.net/index.html.

The R packages used in the analysis are:Hothorn, Torsten; Hornik, Kurt; Strobl, Carolin & Zeileis, Achim 2023: Party 1.3-13. https://CRAN.R-project.org/package=party.Wickham, Hadley 2023: Tidyverse 2.0.0. https://CRAN.R-project.org/package=tidyverse.
DOI: 10.25549/independent-c69-4254
title: indep-box07-13-02
DOI: 10.6084/m9.figshare.25746954
title: Supplementary material: An evaluation of stakeholder engagement in comparative effectiveness research: lessons learned from SWOG S1415CD

description: <b>These are peer-reviewed supplementary materials for the article '</b><b>An evaluation of stakeholder engagement </b><b>in comparative effectiveness research: </b><b>lessons learned from SWOG S1415CD</b><b>' published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>ESAG Interview Questions</b><b>Optional Questions (if time)</b><b>Aim: </b>Stakeholder engagement is central to comparative effectiveness research yet there are gaps in definitions of success. We used a framework developed by Lavallee et al. defining effective engagement criteria to evaluate stakeholder engagement during a pragmatic cluster-randomized trial. <b>Methods:</b> Semistructured interviews were developed from the framework and completed to learn about members’ experiences. Interviews were analyzed in a deductive approach for themes related to the effective engagement criteria. <b>Results: </b>Thirteen members participated and described: respect for ideas, time to achieve consensus, access to information and continuous feedback as areas of effective engagement. The primary criticism was lack of diversity. <b>Discussion: </b>Feedback was positive, particularly among themes of respect, trust and competence, and led to development of a list of best practices for engagement. The framework was successful for evaluating engagement. Conclusion: Standardized frameworks allow studies to formally evaluate their stakeholder engagement approach and develop best practices for future research.
DOI: 10.25549/independent-c69-4228
title: indep-box07-13-02
DOI: 10.25549/independent-c69-4225
title: indep-box07-13-02
DOI: 10.25549/independent-c69-4289
title: indep-box07-13-02
DOI: 10.25549/independent-c69-4182
title: indep-box07-13-02
DOI: 10.25549/independent-c69-4214
title: indep-box07-13-02
DOI: 10.25549/independent-c69-4172
title: indep-box07-13-02
DOI: 10.25549/independent-c69-4195
title: indep-box07-13-02
DOI: 10.25549/independent-c69-4199
title: indep-box07-13-02
DOI: 10.25549/independent-c69-34686
title: Disposition summaries - City Attorney's Office, 1987

description: Christopher Commission - Collection of City Attorney's case disposition reports, 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-34608
title: Disposition summaries - City Attorney's Office, 1987

description: Christopher Commission - Collection of City Attorney's case disposition reports, 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.6084/m9.figshare.25746954.v1
title: Supplementary material: An evaluation of stakeholder engagement in comparative effectiveness research: lessons learned from SWOG S1415CD

description: <b>These are peer-reviewed supplementary materials for the article '</b><b>An evaluation of stakeholder engagement </b><b>in comparative effectiveness research: </b><b>lessons learned from SWOG S1415CD</b><b>' published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>ESAG Interview Questions</b><b>Optional Questions (if time)</b><b>Aim: </b>Stakeholder engagement is central to comparative effectiveness research yet there are gaps in definitions of success. We used a framework developed by Lavallee et al. defining effective engagement criteria to evaluate stakeholder engagement during a pragmatic cluster-randomized trial. <b>Methods:</b> Semistructured interviews were developed from the framework and completed to learn about members’ experiences. Interviews were analyzed in a deductive approach for themes related to the effective engagement criteria. <b>Results: </b>Thirteen members participated and described: respect for ideas, time to achieve consensus, access to information and continuous feedback as areas of effective engagement. The primary criticism was lack of diversity. <b>Discussion: </b>Feedback was positive, particularly among themes of respect, trust and competence, and led to development of a list of best practices for engagement. The framework was successful for evaluating engagement. Conclusion: Standardized frameworks allow studies to formally evaluate their stakeholder engagement approach and develop best practices for future research.
DOI: 10.15468/dl.aergbr
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "BasisOfRecord is Human Observation",
 "CollectionCode is Observations",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is one of (Turdus ludoviciae (Lort Phillips, 1895), Turdus lherminieri Lafresnaye, 1844, Geokichla erythronota (P.L.Sclater, 1859), Geokichla dohertyi (Hartert, 1896), Geokichla schistacea (A.B.Meyer, 1884))"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006554-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n2kjk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arisaema odoratum J.Murata & S.K.Wu"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012427-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdmlje
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limonium sucronicum Erben",
 "Country is Spain"
 ]
}

 The dataset includes 110 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002111-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-43535
title: Disposition summaries - City Attorney's Office, 1986

description: Christopher Commission - Collection of City Attorney's case disposition reports, 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.qu7jr7
title: Occurrence Download

description: A dataset containing 17274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 {
 "or" : [
 "TaxonKey is Arenaria delaguardiae G.López & Nieto Fel.",
 "TaxonKey is Arenaria racemosa Willk.",
 "TaxonKey is Loeflingia baetica Lag.",
 "TaxonKey is Helianthemum cinereum (Cav.) Pers.",
 "TaxonKey is Sedum lagascae Pau",
 "TaxonKey is Pseudoscabiosa grosii (Font Quer) Devesa",
 "TaxonKey is Erica andevalensis Cabezudo & J.Rivera",
 "TaxonKey is Rhododendron ponticum L.",
 "TaxonKey is Anthyllis tejedensis subsp. plumosa (Cullen ex E.Domínguez) Benedí",
 "TaxonKey is Platycapnos tenuiloba subsp. parallela Lidén",
 "TaxonKey is Gentiana sierrae Briq.",
 "TaxonKey is Thymus carnosus Boiss.",
 "TaxonKey is Orobanche densiflora Salzm. ex Reut.",
 "TaxonKey is Armeria colorata Pau",
 "TaxonKey is Armeria velutina Boiss. & Reut.",
 "TaxonKey is Primula elatior (L.) L.",
 "TaxonKey is Salsola papillosa (Coss.) Willk.",
 "TaxonKey is Frangula alnus subsp. baetica (Willk. & E.Rev.) Rivas Goday ex Devesa",
 "TaxonKey is Prunus insititia L.",
 "TaxonKey is Prunus mahaleb L.",
 "TaxonKey is Galium viridiflorum Boiss. & Reut.",
 "TaxonKey is Salix caprea L.",
 "TaxonKey is Salix eleagnos Scop.",
 "TaxonKey is Aristolochia pallida subsp. castellana E.Nardi",
 "TaxonKey is Adenocarpus desertorum Castrov."
 ]
 }
 ]
}

 The dataset includes 17274 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002111-150721130643939/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzvopi
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setonix brachyurus (Quoy & Gaimard, 1830)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 664 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002111-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rtxey
title: Occurrence Download

description: A dataset containing 38498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-115 30,-115 25,-110 25,-110 30,-115 30))"
 ]
}

 The dataset includes 38498 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002111-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-34706
title: Disposition summaries - City Attorney's Office, 1987

description: Christopher Commission - Collection of City Attorney's case disposition reports, 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-34719
title: Disposition summaries - City Attorney's Office, 1987

description: Christopher Commission - Collection of City Attorney's case disposition reports, 1986. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15156/bio/sh1060198.10fu
title: SH1060198.10FU

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.
DOI: 10.15156/bio/sh1060199.10fu
title: SH1060199.10FU

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.
DOI: 10.15156/bio/sh1060200.10fu
title: SH1060200.10FU

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.
DOI: 10.15156/bio/sh1060202.10fu
title: SH1060202.10FU

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.
DOI: 10.15156/bio/sh1060205.10fu
title: SH1060205.10FU

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.
DOI: 10.15156/bio/sh1060207.10fu
title: SH1060207.10FU

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.
DOI: 10.15156/bio/sh1060208.10fu
title: SH1060208.10FU

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.
DOI: 10.15156/bio/sh1060209.10fu
title: SH1060209.10FU

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.