cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25405/data.ncl.24932436
title: 2023 Community pharmacists' experiences of social prescribing

description: Objectives: Social prescribing is an approach that enables the referral of patients to non-clinical support and places a focus on holistic care. This study explored views of community pharmacists regarding social prescribing in pharmacies.Study design: A qualitative phenomenological approach was used.Methods: A convenience sample of eleven community pharmacists from Northern England were recruited via social media (Twitter, Facebook) and took part in a semi-structured, one-to-one qualitative interviews that asked about their knowledge of social prescribing, the advantages of community pharmacist involvement and any barriers they predicted to its implementation. Interviews were transcribed verbatim and thematically analysed.Data is included from largely male pharmacists (63.3%) with less than five years’ experience (45.5%) and included pharmacists working as employees (63.6%), locums (27.3%) and owners (9%) in both chain (36%) and independent stores (54.5%). The main findings indicate an enthusiasm for but limited understanding of social prescribing. Factors which appeared to influence involvement were training requirements and time available to complete an additional service in busy pharmacies. Opportunities centred on the broader pharmacy team’s role to optimise health outcomes.Conclusions: The findings indicate pharmacists may be an underused resource due to a poor understanding of the full scale and scope of social prescribing beyond health promotion, lifestyle interventions. Further work is needed to explore the transferability of the findings to the broader pharmacy workforce to understand how social prescribing can be positioned within pharmacy practice.
DOI: 10.25405/data.ncl.24932436.v1
title: 2023 Community pharmacists' experiences of social prescribing

description: Objectives: Social prescribing is an approach that enables the referral of patients to non-clinical support and places a focus on holistic care. This study explored views of community pharmacists regarding social prescribing in pharmacies.Study design: A qualitative phenomenological approach was used.Methods: A convenience sample of eleven community pharmacists from Northern England were recruited via social media (Twitter, Facebook) and took part in a semi-structured, one-to-one qualitative interviews that asked about their knowledge of social prescribing, the advantages of community pharmacist involvement and any barriers they predicted to its implementation. Interviews were transcribed verbatim and thematically analysed.Data is included from largely male pharmacists (63.3%) with less than five years’ experience (45.5%) and included pharmacists working as employees (63.6%), locums (27.3%) and owners (9%) in both chain (36%) and independent stores (54.5%). The main findings indicate an enthusiasm for but limited understanding of social prescribing. Factors which appeared to influence involvement were training requirements and time available to complete an additional service in busy pharmacies. Opportunities centred on the broader pharmacy team’s role to optimise health outcomes.Conclusions: The findings indicate pharmacists may be an underused resource due to a poor understanding of the full scale and scope of social prescribing beyond health promotion, lifestyle interventions. Further work is needed to explore the transferability of the findings to the broader pharmacy workforce to understand how social prescribing can be positioned within pharmacy practice.
DOI: 10.15468/dl.mj7897
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymus pallescens de Noé"
 ]
}

 The dataset includes 348 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121262-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24243832
title: Efficient gene knockout and genetic interaction screening using the in4mer CRISPR/Cas12a multiplex knockout platform

description: Figure 1: Meta-analysis of synthetic lethality screens.Figure 2: Multiplexing beyond 2 guides with enAsCas12a.Figure 3: In4mer platform for whole-genome screeningFigure 4: Prototype and Inzolia screensFigure 5: Synthetic chemogenetic interactionsFigure 6: Library size comparisonSupplementary Table 1: dLFC and Cohen's D for five published paralog studies<br>Supplementary Table 2: 388 Identified synthetic lethals, 26 synthetic lethals and gold standard set<br>Supplementary Table 3: Raw read counts for 7mer screens<br>Supplementary Table 4: Prototype library sequence<br>Supplementary Table 5: Inzolia library sequence<br>Supplementary Table 6: Raw read counts for both Prototype and Inzolia library screens<br>Supplementary Table 7: Log fold change by gene for both Prototype and Inzolia library screens<br>Supplementary Table 8: DrugZ score for MELJUSO screen with MEK inhibitor selumetinib <br>Supplementary Table 9: GSEA result for MELJUSO screen with MEK inhibitor selumetinib
DOI: 10.15468/dl.xjk9ge
title: Occurrence Download

description: A dataset containing 2340 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tectaria decurrens (C.Presl) Copel."
 ]
}

 The dataset includes 2340 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121263-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywgtvm
title: Occurrence Download

description: A dataset containing 4031 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum pectinatiforme H.H.Lindb."
 ]
}

 The dataset includes 4031 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121265-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10939478
title: Stochastic Navier-Stokes dataset for probablisitic forecasting

description: This is the Stochastic Navier-Stokes dataset generated and used in our recent paper: https://arxiv.org/abs/2403.13724.
DOI: 10.5281/zenodo.10939479
title: Stochastic Navier-Stokes dataset for probablisitic forecasting

description: This is the Stochastic Navier-Stokes dataset generated and used in our recent paper: https://arxiv.org/abs/2403.13724.
DOI: 10.18167/dvn1/fp4qu7
title: Gendered Food Mapping Data on Gari generated by IITA ENSAI in Cameroon

description: This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the IITA ENSAI team in Cameroon on Gari, within the RTBfoods project (following the Methodological Guidance). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
DOI: 10.15468/dl.3nnewm
title: Occurrence Download

description: A dataset containing 3336 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum balticum Dahlst."
 ]
}

 The dataset includes 3336 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121264-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pawhz5
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetraria arundinacea (Sol. ex Vahl) T.Koyama"
 ]
}

 The dataset includes 279 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121266-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3mn59
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thesium bathyschistum Schltr."
 ]
}

 The dataset includes 51 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121267-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a2hfh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Festuca alpina Suter",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121268-240321170329656/datasets/export for details.
DOI: 10.18167/dvn1/h53niw
title: Gendered Food Mapping Data on Boiled Cassava generated by NaCRRI in Uganda

description: This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the NaCRRI team in Uganda on Boiled Cassava, within the RTBfoods project (following the Methodological Guidance). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
DOI: 10.15468/dl.529r78
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymus pallidus Coss. ex Batt."
 ]
}

 The dataset includes 108 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121269-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkt89j
title: Occurrence Download

description: A dataset containing 223734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex pipiens Linnaeus, 1758",
 "Year 1980-2024"
 ]
}

 The dataset includes 223734 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121238-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/16896406.v3
title: Papyrus - A large scale curated dataset aimed at bioactivity predictions

description: This repository contains the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the manuscript "Papyrus - A large scale curated dataset aimed at bioactivity predictions" (Work in Progress).With the recent rapid growth of publicly available ligand-protein bioactivity data, there is a trove of viable data that can be used to train machine learning algorithms. However, not all data is equal in terms of size and quality, and a significant portion of researcher’s time is needed to adapt the data to their needs. On top of that, finding the right data for a research question can often be a challenge on its own. As an answer to that, we have constructed the Papyrus dataset, comprised of around 60 million datapoints. This dataset contains multiple large publicly available datasets such as ChEMBL and ExCAPE-DB combined with smaller datasets containing high quality data. This aggregated data has been standardised and normalised in a manner that is suitable for machine learning. We show how data can be filtered in a variety of ways, and also perform some rudimentary quantitative structure-activity relationship and proteochemometrics modeling. Our ambition is to create a benchmark set that can be used for constructing predictive models, while also providing a solid baseline for related research.
DOI: 10.5281/zenodo.10943992
title: Dataset - Papyrus 05.4 - A large scale curated dataset aimed at bioactivity predictions

description: This repository contains the version 05.5 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the article "Papyrus - A large scale curated dataset aimed at bioactivity predictions" https://doi.org/10.26434/chemrxiv-2021-1rxhk.

 

With the ongoing rapid growth of publicly available ligand-protein bioactivity data, there is a trove of valuable data that can be used to train a plethora of machine learning algorithms. However, not all data is equal in terms of size and quality and a significant portion of researchers’ time is needed to adapt the data to their needs. On top of that, finding the right data for a research question can often be a challenge on its own. To meet these challenges we have constructed the Papyrus dataset. Papyrus is comprised of around 60 million datapoints. This dataset contains multiple large publicly available datasets such as ChEMBL and ExCAPE-DB combined with several smaller datasets containing high-quality data. The aggregated data has been standardised and normalised in a manner that is suitable for machine learning. We show how data can be filtered in a variety of ways and also perform some example quantitative structure-activity relationship analyses and proteochemometric modelling. Our ambition is that this pruned data collection constitutes a benchmark set that can be used for constructing predictive models, while also providing a solid baseline for related research.
DOI: 10.5281/zenodo.10943993
title: Dataset - Papyrus 05.4 - A large scale curated dataset aimed at bioactivity predictions

description: This repository contains the version 05.5 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the article "Papyrus - A large scale curated dataset aimed at bioactivity predictions" https://doi.org/10.26434/chemrxiv-2021-1rxhk.

 

With the ongoing rapid growth of publicly available ligand-protein bioactivity data, there is a trove of valuable data that can be used to train a plethora of machine learning algorithms. However, not all data is equal in terms of size and quality and a significant portion of researchers’ time is needed to adapt the data to their needs. On top of that, finding the right data for a research question can often be a challenge on its own. To meet these challenges we have constructed the Papyrus dataset. Papyrus is comprised of around 60 million datapoints. This dataset contains multiple large publicly available datasets such as ChEMBL and ExCAPE-DB combined with several smaller datasets containing high-quality data. The aggregated data has been standardised and normalised in a manner that is suitable for machine learning. We show how data can be filtered in a variety of ways and also perform some example quantitative structure-activity relationship analyses and proteochemometric modelling. Our ambition is that this pruned data collection constitutes a benchmark set that can be used for constructing predictive models, while also providing a solid baseline for related research.
DOI: 10.5281/zenodo.10944245
title: Dataset - Papyrus 05.4 - A large scale curated dataset aimed at bioactivity predictions

description: This repository contains the version 05.5 of the Papyrus dataset, an aggregated dataset of small molecule bioactivities, as described in the article "Papyrus - A large scale curated dataset aimed at bioactivity predictions" https://doi.org/10.26434/chemrxiv-2021-1rxhk.

 

With the ongoing rapid growth of publicly available ligand-protein bioactivity data, there is a trove of valuable data that can be used to train a plethora of machine learning algorithms. However, not all data is equal in terms of size and quality and a significant portion of researchers’ time is needed to adapt the data to their needs. On top of that, finding the right data for a research question can often be a challenge on its own. To meet these challenges we have constructed the Papyrus dataset. Papyrus is comprised of around 60 million datapoints. This dataset contains multiple large publicly available datasets such as ChEMBL and ExCAPE-DB combined with several smaller datasets containing high-quality data. The aggregated data has been standardised and normalised in a manner that is suitable for machine learning. We show how data can be filtered in a variety of ways and also perform some example quantitative structure-activity relationship analyses and proteochemometric modelling. Our ambition is that this pruned data collection constitutes a benchmark set that can be used for constructing predictive models, while also providing a solid baseline for related research.
DOI: 10.18167/dvn1/nkwwsr
title: Gendered Food Mapping Data on Boiled Cassava generated by UAC-FSA IITA in Benin

description: This dataset contains data generated during the Activity 3 or Step 2 - Gendered food mapping performed by the UAC-FSA IITA team in Benin on Boiled Cassava, within the RTBfoods project (following the Methodological Guidance). This dataset may contain diverse types of anonymized data (e‧g. questionnaires, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025) This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata.
DOI: 10.15468/dl.gt3rrr
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tectaria degeneri Copel."
 ]
}

 The dataset includes 35 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121271-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbjqwr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Festuca ampla Hack.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121274-240321170329656/datasets/export for details.
DOI: 10.15468/dl.su9g7x
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum pectinatum Kitam."
 ]
}

 The dataset includes 175 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121270-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ckpsq
title: Occurrence Download

description: A dataset containing 6111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thesium bavarum Schrank"
 ]
}

 The dataset includes 6111 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121272-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf6vsj
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum baltistanicum Soest"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121273-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4rqdq
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetraria borneensis J.Kern"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121275-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7k6h3
title: Occurrence Download

description: A dataset containing 9089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymus pannonicus All."
 ]
}

 The dataset includes 9089 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121276-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tdwet
title: Occurrence Download

description: A dataset listing the 832 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Rosaceae"
 ]
}

 The dataset's 832 records were derived from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009687-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.kaxammz0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.qa9p8v
title: Occurrence Download

description: A dataset containing 197274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cymbalaria muralis G.Gaertn., B.Mey. & Scherb.)"
 ]
}

 The dataset includes 197274 records from 1123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009698-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drvvd2
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mazama temama (Kerr, 1792)",
 "Year 2015-2024"
 ]
}

 The dataset includes 517 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009700-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.