cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18164/e56ea8c3-1267-49a7-863b-8ae00eabf11f
title: Greater Toronto Area (GTA) ACES mobile surveys 2022
title: Mesures mobiles collectées par ACES dans le Grand Toronto en 2022

description: These datafiles contain observations collected with the Atmospheric Composition and Environmental Survey (ACES) platform during a series of mobile surveys in the Greater Toronto Area (GTA) in 2022. Each file contains calibrated data from a LI-COR LI-7810 and from an Airmar 220-WX weather station. The LI-COR LI-7810 measures atmospheric CH4, CO2 and H2O mole fractions and the Airmar 220-WX measures weather conditions (air temperature, atmospheric pressure, wind conditions) and GPS coordinates.
description: Ces fichiers de données contiennent les observations collectées avec la plateforme mobile ACES lors d'une campagne de mesures realisées dans le Grand Toronto en 2022. Chaque fichier contient les données calibrées provenant d'un LI-COR LI-7810 ainsi que d'une station météorologique Airmar 220-WX. Le LI-COR LI-7810 mesure les fractions molaires de CH4, CO2 et H2O tandis que l'Airmar 220-WX mesures les conditions météorologiques (température de l'air, pression atmosphérique, conditions de vent) et les coordonnées GPS.
DOI: 10.15131/shef.data.22795418
title: MSS3 SWAT data

description: Data from a study embedded within the MSS3 randomised controlled trial (ISRCTN57050216; REC 18/NW/0422) designed to evaluate the effectiveness of a brief participant information leaflet and trial logo branded pen on recruitment to the host trial.<br>Data access will be granted once users have provided a written proposal and consented to a data sharing agreement. Requests can be submitted to multiple.symptoms.study3@sheffield.ac.uk.Aggregated data is available at https://doi.org/10.15131/shef.data.23791731
DOI: 10.15131/shef.data.23791731
title: MSS3 aggregate SWAT data

description: Data from a study embedded within the MSS3 randomised controlled trial (ISRCTN57050216; REC 18/NW/0422) designed to evaluate the effectiveness of a brief participant information leaflet and trial logo branded pen on recruitment to the host trial.
Data have been categorised for sharing. A copy of the dataset with raw age data may be provided upon reasonable request via https://doi.org/10.15131/shef.data.22795418.
DOI: 10.15131/shef.data.23791731.v1
title: MSS3 aggregate SWAT data

description: Data from a study embedded within the MSS3 randomised controlled trial (ISRCTN57050216; REC 18/NW/0422) designed to evaluate the effectiveness of a brief participant information leaflet and trial logo branded pen on recruitment to the host trial.
Data have been categorised for sharing. A copy of the dataset with raw age data may be provided upon reasonable request via https://doi.org/10.15131/shef.data.22795418.
DOI: 10.15131/shef.data.23514405
title: Supporting data for 'Understanding the financialization of English housing associations at the sector-wide scale: A mixed-methods study'

description: Data is provided in .xlsx format within this repository. The data is taken from publicly available datasets published annually by the Regulator of Social Housing, including:

 Global Accounts and Value for Money metrics data (accessed at https://www.gov.uk/government/collections/global-accounts-of-housing-providers)
 Statistical Data Return (accessed at https://www.gov.uk/government/collections/private-registered-provider-social-housing-stock-in-england)

The data covers the financial years from 2016/17 to 2020/21.
R scripts to replicate the analysis are available from a separate repository (doi: 10.15131/shef.data.23523471).
DOI: 10.15131/shef.data.23514405.v1
title: Supporting data for 'Understanding the financialization of English housing associations at the sector-wide scale: A mixed-methods study'

description: Data is provided in .xlsx format within this repository. The data is taken from publicly available datasets published annually by the Regulator of Social Housing, including:

 Global Accounts and Value for Money metrics data (accessed at https://www.gov.uk/government/collections/global-accounts-of-housing-providers)
 Statistical Data Return (accessed at https://www.gov.uk/government/collections/private-registered-provider-social-housing-stock-in-england)

The data covers the financial years from 2016/17 to 2020/21.
R scripts to replicate the analysis are available from a separate repository (doi: 10.15131/shef.data.23523471).
DOI: 10.5281/zenodo.10929572
title: Datasets used in the benchmarking study of MR methods

description: We conducted a benchmarking analysis of 16 summary-level data-based MR methods for causal inference with five real-world genetic datasets, focusing on three key aspects: type I error control, the accuracy of causal effect estimates, replicability, and power.

The datasets used in the MR benchmarking study can be downloaded here:



"dataset-GWASATLAS-negativecontrol.zip":  the GWASATLAS dataset for evaluation of type I error control in confounding scenario (a): Population stratification

"dataset-NealeLab-negativecontrol.zip": the Neale Lab dataset for evaluation of type I error control in confounding scenario (a): Population stratification;

"dataset-PanUKBB-negativecontrol.zip": the Pan UKBB dataset for evaluation of type I error control in confounding scenario (a): Population stratification;

"dataset-Pleiotropy-negativecontrol": the dataset  used for evaluation of type I error control in confounding scenario (b): Pleiotropy;

"dataset-familylevelconf-negativecontrol.zip": the dataset used for evaluation of type I error control in confounding scenario (c): Family-level confounders;

"dataset_ukb-ukb.zip": the dataset used for evaluation of the accuracy of causal effect estimates;

"dataset-LDL-CAD_clumped.zip": the dataset used for evaluation of replicability and power;


Each of the datasets contains the following files:



 "Tested Trait pairs": the exposure-outcome trait pairs to be analyzed;

"MRdat" refers to the summary statistics after performing IV selection (p-value < 5e-05) and PLINK LD clumping with a clumping window size of 1000kb and an r^2 threshold of 0.001.

"bg_paras" are the estimated background parameters "Omega" and "C" which will be used for MR estimation in MR-APSS.


Note:



Supplemental Tables S1-S7.xlxs  provide the download link for the original GWAS summary-level data for the traits used as exposures or outcomes.

The formatted dataset after quality control can be accessible at our GitHub website (https://github.com/YangLabHKUST/MRbenchmarking).

The details on quality control of GWAS summary statistics, formatting GWASs, and LD clumping for IV selection can be found on the MR-APSS software tutorial on the MR-APSS  website (https://github.com/YangLabHKUST/MR-APSS).

R code for running MR methods is also available at https://github.com/YangLabHKUST/MRbenchmarking.
DOI: 10.5281/zenodo.10929571
title: Datasets used in the benchmarking study of MR methods

description: We conducted a benchmarking analysis of 16 summary-level data-based MR methods for causal inference with five real-world genetic datasets, focusing on three key aspects: type I error control, the accuracy of causal effect estimates, replicability, and power.

The datasets used in the MR benchmarking study can be downloaded here:



"dataset-GWASATLAS-negativecontrol.zip":  the GWASATLAS dataset for evaluation of type I error control in confounding scenario (a): Population stratification

"dataset-NealeLab-negativecontrol.zip": the Neale Lab dataset for evaluation of type I error control in confounding scenario (a): Population stratification;

"dataset-PanUKBB-negativecontrol.zip": the Pan UKBB dataset for evaluation of type I error control in confounding scenario (a): Population stratification;

"dataset-Pleiotropy-negativecontrol": the dataset  used for evaluation of type I error control in confounding scenario (b): Pleiotropy;

"dataset-familylevelconf-negativecontrol.zip": the dataset used for evaluation of type I error control in confounding scenario (c): Family-level confounders;

"dataset_ukb-ukb.zip": the dataset used for evaluation of the accuracy of causal effect estimates;

"dataset-LDL-CAD_clumped.zip": the dataset used for evaluation of replicability and power;


Each of the datasets contains the following files:



 "Tested Trait pairs": the exposure-outcome trait pairs to be analyzed;

"MRdat" refers to the summary statistics after performing IV selection (p-value < 5e-05) and PLINK LD clumping with a clumping window size of 1000kb and an r^2 threshold of 0.001.

"bg_paras" are the estimated background parameters "Omega" and "C" which will be used for MR estimation in MR-APSS.


Note:



The formatted dataset after quality control can be accessible at our GitHub website (https://github.com/YangLabHKUST/MRbenchmarking).

The details on quality control of GWAS summary statistics, formatting GWASs, and LD clumping for IV selection can be found on the MR-APSS software tutorial on the MR-APSS  website (https://github.com/YangLabHKUST/MR-APSS).

R code for running MR methods is also available at https://github.com/YangLabHKUST/MRbenchmarking.
DOI: 10.5281/zenodo.13832454
title: Datasets used in the benchmarking study of MR methods

description: We conducted a benchmarking analysis of 16 summary-level data-based MR methods for causal inference with five real-world genetic datasets, focusing on three key aspects: type I error control, the accuracy of causal effect estimates, replicability, and power.

The datasets used in the MR benchmarking study can be downloaded here:



"dataset-GWASATLAS-negativecontrol.zip":  the GWASATLAS dataset for evaluation of type I error control in confounding scenario (a): Population stratification

"dataset-NealeLab-negativecontrol.zip": the Neale Lab dataset for evaluation of type I error control in confounding scenario (a): Population stratification;

"dataset-PanUKBB-negativecontrol.zip": the Pan UKBB dataset for evaluation of type I error control in confounding scenario (a): Population stratification;

"dataset-Pleiotropy-negativecontrol": the dataset  used for evaluation of type I error control in confounding scenario (b): Pleiotropy;

"dataset-familylevelconf-negativecontrol.zip": the dataset used for evaluation of type I error control in confounding scenario (c): Family-level confounders;

"dataset_ukb-ukb.zip": the dataset used for evaluation of the accuracy of causal effect estimates;

"dataset-LDL-CAD_clumped.zip": the dataset used for evaluation of replicability and power;


Each of the datasets contains the following files:



 "Tested Trait pairs": the exposure-outcome trait pairs to be analyzed;

"MRdat" refers to the summary statistics after performing IV selection (p-value < 5e-05) and PLINK LD clumping with a clumping window size of 1000kb and an r^2 threshold of 0.001.

"bg_paras" are the estimated background parameters "Omega" and "C" which will be used for MR estimation in MR-APSS.


Note:



The formatted dataset after quality control can be accessible at our GitHub website (https://github.com/YangLabHKUST/MRbenchmarking).

The details on quality control of GWAS summary statistics, formatting GWASs, and LD clumping for IV selection can be found on the MR-APSS software tutorial on the MR-APSS  website (https://github.com/YangLabHKUST/MR-APSS).

R code for running MR methods is also available at https://github.com/YangLabHKUST/MRbenchmarking.
DOI: 10.5281/zenodo.13833479
title: Exploring agent interaction patterns in the comment sections of fake and real news

description: The code and dataset provided for the paper "Exploring agent interaction patterns in the comment sections of fake and real news" contain all information about fake and real news, as well as the complete code for constructing comment networks and user network experiments.
DOI: 10.5281/zenodo.13833480
title: Exploring agent interaction patterns in the comment sections of fake and real news

description: The code and dataset provided for the paper "Exploring agent interaction patterns in the comment sections of fake and real news" contain all information about fake and real news, as well as the complete code for constructing comment networks and user network experiments.
DOI: 10.34740/kaggle/dsv/9470602
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15131/shef.data.23295284.v1
title: Supporting files for 'Development of a new health-related quality of life measure for people living with diabetes who experience hypoglycaemia: The Hypo-RESOLVE QoL'

description: Supporting files for the development of a novel patient-reported outcome measure for assesing the health-related quality of life impacts of hypoglycaemia in people living with diabetes: the Hypo-RESOLVE QoL. These files are designed to accompany a manuscript submitted for publication entitled: 'Development of a new health-related quality of life measure for people living with diabetes who experience hypoglycaemia: The Hypo-RESOLVE QoL'.
<br>
This research is part of the international Hypo-RESOLVE project, funded by the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 777460. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA and T1DExchange, JDRF, IDF, HCT.
<br>
A protocol for the work has been published online: Carlton et al. (2023), https://doi.org/10.1111/dme.15007
<br>
The research received ethical approval from the UK National Health Service (NHS REC reference: 20/NI/0048)
DOI: 10.15131/shef.data.23295284
title: Supporting files for 'Development of a new health-related quality of life measure for people living with diabetes who experience hypoglycaemia: The Hypo-RESOLVE QoL'

description: Supporting files for the development of a novel patient-reported outcome measure for assesing the health-related quality of life impacts of hypoglycaemia in people living with diabetes: the Hypo-RESOLVE QoL. These files are designed to accompany a manuscript submitted for publication entitled: 'Development of a new health-related quality of life measure for people living with diabetes who experience hypoglycaemia: The Hypo-RESOLVE QoL'.
<br>
This research is part of the international Hypo-RESOLVE project, funded by the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 777460. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA and T1DExchange, JDRF, IDF, HCT.
<br>
A protocol for the work has been published online: Carlton et al. (2023), https://doi.org/10.1111/dme.15007
<br>
The research received ethical approval from the UK National Health Service (NHS REC reference: 20/NI/0048)
DOI: 10.15131/shef.data.23295284.v2
title: Supporting files for 'Development of a new health-related quality of life measure for people living with diabetes who experience hypoglycaemia: The Hypo-RESOLVE QoL'

description: Supporting files for the development of a novel patient-reported outcome measure for assesing the health-related quality of life impacts of hypoglycaemia in people living with diabetes: the Hypo-RESOLVE QoL. These files are designed to accompany a manuscript submitted for publication entitled: 'Development of a new health-related quality of life measure for people living with diabetes who experience hypoglycaemia: The Hypo-RESOLVE QoL'.
<br>
This research is part of the international Hypo-RESOLVE project, funded by the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 777460. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA and T1DExchange, JDRF, IDF, HCT.
<br>
A protocol for the work has been published online: Carlton et al. (2023), https://doi.org/10.1111/dme.15007
<br>
The research received ethical approval from the UK National Health Service (NHS REC reference: 20/NI/0048)
DOI: 10.15468/dl.j79s5c
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)",
 "Year 2000-2024"
 ]
}

 The dataset includes 238 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028201-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10958814
title: Ion beam implanted COC electrical properties
DOI: 10.5281/zenodo.10958815
title: Ion beam implanted COC electrical properties
DOI: 10.5281/zenodo.10958967
title: Ion beam implanted COC electrical properties
DOI: 10.5281/zenodo.12943379
title: Ion beam implanted COC electrical properties
DOI: 10.2909/f425a73e-dc6c-40be-93d6-9d234d4bbe1b
title: EUNIS forest and other wooded land habitat types probability maps - version 1, Dec. 2021

description: This metadata describes the EUNIS forest and other wooded land habitat types probability maps distribution datasets created from habitat probability mapping. Probability maps are refined versions of habitat suitability maps. Suitability maps model areas where the environment is suitable for a certain habitat type. Probability maps include information on existing land cover and narrow the modelled suitable distribution to areas where the habitat type is probable to occur.

The forest and other wooded land habitat type is the land where the dominant vegetation is, or was until very recently, trees with a canopy cover of at least 10%. It includes temporarily unstocked areas due to clear-cutting as part of a forest management practice or natural disasters which are expected to be regenerated within 5 years but does not include land that is predominantly under agricultural or urban land use. Trees are defined as woody plants, typically single-stemmed, that can reach a height of at least 5 m at maturity unless stunted by poor climate or soil. Includes Alnus and Populus swamp forest and riverine Salix forest. Excludes Corylus avellana scrub and Salix and Frangula carrs. Excludes lines of trees, coppices, regularly tilled tree nurseries. Excludes stands of climatically-limited dwarf trees (krummholz) &lt; 3m high, such as occur at the arctic or alpine tree limit which are considered scrub (section S) . Excludes tree stands in agricultural production systems, such as fruit tree plantations, olive orchards and agroforestry systems (dehesa and montado) where crops are grown under tree cover - canopy less than 10%, which are listed under sparsely wooded grasslands. Old plantations which have many of the characteristics of natural or semi-natural forests are included, more intensively managed, and less natural, forests are included in vegetated man-made habitats.

The modelled probability for EUNIS forest and other wooded land habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled probability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the probability modelling not only climate and soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables, like land use, vegetation height, phenology, and LAI (Leaf Area Index). Because the EBV's are restricted by the extent of the remote sensing data (EEA38 countries and the United Kingdom) the modelling result does also not go beyond this boundary.
DOI: 10.15468/dl.bvymju
title: Occurrence Download

description: A dataset containing 26611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum mantegazzianum Sommier & Levier"
 ]
}

 The dataset includes 26611 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028204-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.db49ch
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GLP",
 "TaxonKey is Trachemys stejnegeri Schmidt, 1928"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028205-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bz3tg
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MDG",
 "TaxonKey is Trachylepis comorensis (Peters, 1854)"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028206-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djmty9
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Classification, annotated list and keys for the black flies (Diptera: Simuliidae) of Peninsular Malaysia"
 ]
}

 The dataset includes 49 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028207-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13831046
title: Syringe Services Programs in the U.S., 2022

description: The universe of syringe services programs (SSP) across U.S. Territories and Tribal Nations was created by merging datasets maintained by the North American Syringe Exchange Network (NASEN) and RTI, including:  

·        SSPs in NASEN’s directory of known SSPs in the U.S., its territories, and Tribal Nations

·        SSPs in NASEN’s directory that do not wish to be publicly listed but have agreed to be contacted for research purposes

·        SSPs that belong to NASEN’s Buyer’s Club that are not part of the directory

·        SSPs that are not in NASEN’s directory and do not participate in the Buyer’s Club, but are known to NASEN

·        SSPs that have responded to prior RTI Arnold Ventures Surveys of SSPs that are not included in the NASEN directory

·        SSPs proactively identified through SSP networks by the study team and partners (e.g., state health department websites, state networks, regional conferences, partner organization networks).
DOI: 10.5281/zenodo.13831047
title: Syringe Services Programs in the U.S., 2022

description: The universe of syringe services programs (SSP) across U.S. Territories and Tribal Nations was created by merging datasets maintained by the North American Syringe Exchange Network (NASEN) and RTI, including:  

·        SSPs in NASEN’s directory of known SSPs in the U.S., its territories, and Tribal Nations

·        SSPs in NASEN’s directory that do not wish to be publicly listed but have agreed to be contacted for research purposes

·        SSPs that belong to NASEN’s Buyer’s Club that are not part of the directory

·        SSPs that are not in NASEN’s directory and do not participate in the Buyer’s Club, but are known to NASEN

·        SSPs that have responded to prior RTI Arnold Ventures Surveys of SSPs that are not included in the NASEN directory

·        SSPs proactively identified through SSP networks by the study team and partners (e.g., state health department websites, state networks, regional conferences, partner organization networks).