cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/2fd7c824e7e549809c1bc6a128ad74db
title: HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.0.2.1 (1862-2019)

description: HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
DOI: 10.5285/1bea761180674b9f9b1830f9aabfac15
title: HadUK-Grid Gridded Climate Observations on a 12km grid over the UK, v1.0.2.1 (1862-2019)

description: HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 12 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. Additionally, this version has corrected the grid definition used for the 12 km grid product to match UKCP18 climate model products. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
DOI: 10.5285/725e1339c06344cc813e4cb123c12f81
title: HadUK-Grid Gridded Climate Observations on a 25km grid over the UK, v1.0.2.1 (1862-2019)

description: HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 25 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
DOI: 10.5285/df33c78736a44019b8ceb20ab440cae1
title: HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.2.1 (1862-2019)

description: HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 60 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
DOI: 10.5285/4f165fc3b96b430fb6e35b859758c9ce
title: HadUK-Grid Climate Observations by UK countries, v1.0.2.1 (1862-2019)

description: HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
DOI: 10.5285/7d205e6cb7b4441eb3cdd5bbc4fd7829
title: HadUK-Grid Climate Observations by UK river basins, v1.0.2.1 (1862-2019)

description: HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2018, but the start time is dependent on climate variable and temporal resolution. The gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). For this version of note is that historical data recovery has improved monthly rainfall 1862-1910, daily rainfall 1883-1910, monthly temperature 1900-1909, and additional sunshine grids for 1919-1928 have been added. The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
DOI: 10.6084/m9.figshare.13120343
title: R0309_20191125a_videos

description: Rat 0309, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4114233
title: Code and data to reproduce case studies embedded in the Arothron R package

description: Code and data to reproduce case studies embedded in the Arothron R package.
DOI: 10.6084/m9.figshare.13122080
title: Phage genomes recovered from Rapid Sand Filters

description: Phage genomes recovered from 12 Danish groundwater-fed rapid sand filters.
DOI: 10.6084/m9.figshare.13122080.v1
title: Phage genomes recovered from Rapid Sand Filters

description: Phage genomes recovered from 12 Danish groundwater-fed rapid sand filters.
DOI: 10.21942/uva.13072712.v1
title: Compliance with COVID-19 mitigation measures in the Netherlands

description: Compliance with COVID-19 mitigation measures in the Netherlands. Survey study (6 cohorts) on compliance with social distancing measures and its predictors. Data and syntax for all 6 surveys + combined dataset Waves 1-6.<br>For more information, please see https://corona-compliance.org/
DOI: 10.21942/uva.13072712
title: Compliance with COVID-19 mitigation measures in the Netherlands

description: Compliance with COVID-19 mitigation measures in the Netherlands. Survey study (6 cohorts) on compliance with social distancing measures and its predictors. Data and syntax for all 6 surveys + combined dataset Waves 1-6.<br>For more information, please see https://corona-compliance.org/
DOI: 10.17632/7jbpnxx967.4
title: Data for: Deterministic matrix-based radiative design using a new general formulation of exergy and exergy efficiency for hybrid solar collectors

description: N/A
DOI: 10.6084/m9.figshare.13122071
title: CFI material

description: Data and materials/stimuli associated relevant to Colombian adaptation of Cognitive Flexibility Inventory.
DOI: 10.6084/m9.figshare.13122071.v1
title: CFI material

description: Data and materials/stimuli associated relevant to Colombian adaptation of Cognitive Flexibility Inventory.
DOI: 10.5281/zenodo.4114065
title: Simulations of a beta-2 adrenergic receptor dimer on a flat membrane

description: Two replicas, trajectories without water.
DOI: 10.5281/zenodo.4114064
title: Simulations of a beta-2 adrenergic receptor dimer on a flat membrane

description: Two replicas, trajectories without water.
DOI: 10.5281/zenodo.3722605
title: Phosphoprotoemics for SARS COV 2 infected VeroE6 cells

description: Vero cells infected with SARS CoV 2 at Bristol University March 2020 this phospho preoteome is matched with fastq data and a total proteome
DOI: 10.5281/zenodo.3722604
title: Phosphoprotoemics for SARS COV 2 infected VeroE6 cells

description: Vero cells infected with SARS CoV 2 at Bristol University March 2020 this phospho preoteome is matched with fastq data and a total proteome
DOI: 10.5281/zenodo.4114356
title: Data for dissemination and communication reporting_v2

description: These data were collected through the periodic monitoring of the project's miscellaneous dissemination activities, such as publications in relevant journals, posts, etc. The data consist of a list that depicts the number of publications, posts, events organized or attended by the consortium partners, etc. as well as the number of different type of stakeholders reached by the project's dissemination activities. The purpose of collecting this data is to assess the outreach and efficiency of the dissemination activities during the implementation of the project.
DOI: 10.5281/zenodo.4114355
title: Data for dissemination and communication reporting_v2

description: These data were collected through the periodic monitoring of the project's miscellaneous dissemination activities, such as publications in relevant journals, posts, etc. The data consist of a list that depicts the number of publications, posts, events organized or attended by the consortium partners, etc. as well as the number of different type of stakeholders reached by the project's dissemination activities. The purpose of collecting this data is to assess the outreach and efficiency of the dissemination activities during the implementation of the project.
DOI: 10.5517/ccdc.csd.cc20lr4j
title: CCDC 1865057: Experimental Crystal Structure Determination

description: Related Article: Ying Xiong, Yan-Zhong Fan, Zhang-Wen Wei, Cheng-Xia Chen, Sha Chen, Dawei Wang, Mihail Barboiu, Ji-Jun Jiang, Cheng-Yong Su|2019|RSC Advances|9|37222|doi:10.1039/C9RA07301A
DOI: 10.5517/ccdc.csd.cc20lr5k
title: CCDC 1865058: Experimental Crystal Structure Determination

description: Related Article: Ying Xiong, Yan-Zhong Fan, Zhang-Wen Wei, Cheng-Xia Chen, Sha Chen, Dawei Wang, Mihail Barboiu, Ji-Jun Jiang, Cheng-Yong Su|2019|RSC Advances|9|37222|doi:10.1039/C9RA07301A
DOI: 10.5517/ccdc.csd.cc20hs6j
title: CCDC 1862207: Experimental Crystal Structure Determination

description: Related Article: Yu-Wei Zhang, Qing Wang, Ping-Ping Shi, Wan-Ying Zhang, Qiong Ye, Da-Wei Fu|2019|Mater. Chem. Front.|3|2077|doi:10.1039/C9QM00427K
DOI: 10.6084/m9.figshare.13049813.v1
title: A Pipeline for Precise and Efficient Genome Editing by sgRNA-Cas9 RNPs in <i>Drosophila</i>

description: Genome editing via homology-directed repair (HDR) has made possible precise and deliberate modifications to gene sequences. CRISPR/Cas9-mediated HDR is the simplest means to carry this out. However, technical challenges remain to improve efficiency and broaden applicability to any genetic background of <i>Drosophila melanogaster</i> as well as to other <i>Drosophila</i> species. To address these issues, we developed a two-stage marker-assisted strategy in which embryos are injected with RNPs and pre-screened using T7EI. Using sgRNA in complex with recombinant Cas9 protein, we assayed each sgRNA for genome-cutting efficiency. We then conducted HDR using sgRNAs that efficiently cut target genes and the application of a transformation marker that generates RNAi against <i>eyes absent</i>. This allows for screening based on eye morphology rather than color. These new tools can be used to make a single change or a series of allelic substitutions in a region of interest, or to create additional genetic tools such as balancer chromosomes.
DOI: 10.6084/m9.figshare.13121039
title: R0310_20191115a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.15129/9b3d786c-2ef9-401f-8517-48b338ba4835
title: Data for: "The effect of variable stiffness of tuna-like fish body and fin on swimming performance"

description: This dataset contains simulation data generated by the simulation of a tuna-like numerical swimmer described in the article "The effect of variable stiffness of tuna-like fish body and fin on swimming performance" published in the journal "Bioinspiration & Biomimetics". The data is the main finding of this research, including mean thrust, power input coefficient and efficiency of different stiffness profiles, and can be read by Excel.
DOI: 10.6084/m9.figshare.13120343.v1
title: R0309_20191125a_videos

description: Rat 0309, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13121039.v1
title: R0310_20191115a_videos

description: Rat 0310, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4114438
title: EMUE-RMG-1-GasFlowCalibration

description: Flow meter calibration using the master meter method This example demonstrates the calibration of a gas flow measuring instrument by the so-called “master meter” method, i.e. by comparing the measured flow on a master meter (reference standard) and the measured flow on the device under test. Files contained in dataset are: Flow_meter_calibration_using_the_master_meter_method.pdf RMG11_ExampleSAGAS.tex: LaTeX file to be compiled in order to produce Flow_meter_calibration_using_the_master_meter_method.pdf, EMPIR.jpg: figure file, EMUELogo-03.jpg: figure file, SAGAS1.png: figure file, SAGASGUMandMCM.jpg: figure file, RMG11.bib: bibliography file, GUM_SAGAS.mat: MATLAB function that calculates measurement uncertainty by following the GUM principle, GUMSupp1_SAGAS.mat: MATLAB function that calculates measurement uncertainty by following GUM Supplement 1 principle (Monte Carlo method), InputData.mat: MATLAB function for input data, MainScript.mat: Model developed in MATLAB that calculates estimated gas flow error and the associated measurement uncertainty (GUM and Monte Carlo method). This file that uses MATLAB functions (developed for this example): SetFormattingSymbols, InputData, GUM_SAGAS, GUMSupp1_SAGAS, Results, PlotGUMAndMCM_SAGAS, PlotGUMAndMCM_SAGAS.mat: MATLAB function for plotting the results, Results.mat: MATLAB function for displaying the results, SetFormatingSymbols.mat: MATLAB function for setting formatting symbols.
description: In the "Flow_meter_calibration_using_the_master_meter_method.pdf" Table 1 and Table 2 the data on flow, pressure, temperature and similar can be found. These data can serve as additional input data when running the program MainScript.mat. Since all the .mat files except MainScript.mat are MATLAB functions necessary for running the MainScript, all of them including MainScript should be located in one folder when running the program.