cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5493704
title: Plasmid Loss images and scripts

description: Image dataset and their corresponding R scripts.
DOI: 10.5285/f2da35c56afb4fa6aebf44094b65dff3
title: HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.0.3.0 (1862-2020)

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 2020, 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 This data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations.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). This release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset. 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: 10.5285/97bc0b64bc354898a242a42238e1b45c
title: HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.0.3.0 (1862-2020)

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 administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1862 to 2020, 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). This release includes data for the calendar year 2020. Ongoing quality checks and data recovery to historical data results in changes to around 0.01% of the observational station data used as input to produce the gridded dataset. A correction to _FillValue assignment in the metadata for seasonal and annual grids has also been applied to be consistent with the rest of the dataset. 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/f1b19872c12d477abfeb229f060a0969
title: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from GOSAT-2, derived using the SRFP (RemoTeC) full physics algorithm, version 1.0.0

description: This dataset contains column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) Near Infrared(NIR) and Shortwave Infrared (SWIR) spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the RemoTeC SRFP Full Physics Retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints. These data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme.
DOI: 10.5285/722fe4748da2487ead0a755f6d09e6ab
title: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from GOSAT-2, generated with the SRPR (RemoTeC) proxy retrieval algorithm, version 1.0.0

description: This dataset contains column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2(TANSO-FTS-2) Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the RemoTeC SRPR Proxy Retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints. These data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme.
DOI: 10.5285/fdd90615b0df45489d9ca47708d98325
title: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from GOSAT-2, generated with the SRFP (RemoTeC) full physics retrieval algorithm, version 1.0.0

description: This dataset contains column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) Near Infrared (NIR) and Shortwave Infrared (SWIR) spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the RemoTeC SRFP Full Physics Retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints. These data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme.
DOI: 10.5285/1c9c816d0b8a4fbf878e7e0bfef5d79f
title: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from Sentinel-5P, generated with the WFM-DOAS algorithm, version 1.2, November 2017 - July 2020

description: This product is the column-average dry-air mole fraction of atmospheric methane, denoted XCH4. It has been retrieved from radiance measurements from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite in the 2.3 µm spectral range of the solar spectral range, using the Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS or WFMD) retrieval algorithm. This dataset is also referred to as CH4_S5P_WFMD. This version of the product is version 1.2, and covers the period from November 2017 - July 2020. The WFMD algorithm is based on iteratively fitting a simulated radiance spectrum to the measured spectrum using a least-squares method. The algorithm is very fast as it is based on a radiative transfer model based look-up table scheme. The product is limited to cloud-free scenes on the Earth's day side. These data were produced as part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project. When citing this dataset, please also cite the following peer-reviewed publication: Schneising, O., Buchwitz, M., Reuter, M., Bovensmann, H., Burrows, J. P., Borsdorff, T., Deutscher, N. M., Feist, D. G., Griffith, D. W. T., Hase, F., Hermans, C., Iraci, L. T., Kivi, R., Landgraf, J., Morino, I., Notholt, J., Petri, C., Pollard, D. F., Roche, S., Shiomi, K., Strong, K., Sussmann, R., Velazco, V. A., Warneke, T., and Wunch, D.: A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor, Atmos. Meas. Tech., 12, 6771–6802, https://doi.org/10.5194/amt-12-6771-2019, 2019.
DOI: 10.5285/b0de069568a141b0b074ca0f7cee004b
title: ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 09

description: This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (XCO2), using the fast atmospheric trace gas retrieval for OCO2 (FOCAL-OCO2). The FOCAL-OCO2 algorithm which has been setup to retrieve XCO2 by analysing hyper spectral solar backscattered radiance measurements from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. FOCAL includes a radiative transfer model which has been developed to approximate light scattering effects by multiple scattering at an optically thin scattering layer. This reduces the computational costs by several orders of magnitude. FOCAL's radiative transfer model is utilised to simulate the radiance in all three OCO-2 spectral bands allowing the simultaneous retrieval of CO2, H2O, and solar induced chlorophyll fluorescence. The product is limited to cloud-free scenes on the Earth's day side. This dataset is also referred to as CO2_OC2_FOCA. This version of the data (v09) was produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg) and got co-funding from the Univ. Bremen and EU H2020 projects CHE (grant agreement no. 776186) and VERIFY (grant agreement no. 776810). When citing this data, please also cite the following peer-reviewed publications: M.Reuter, M.Buchwitz, O.Schneising, S.Noël, V.Rozanov, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup, Remote Sensing, 9(11), 1159; doi:10.3390/rs9111159, 2017 M.Reuter, M.Buchwitz, O.Schneising, S.Noël, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 2: Application to XCO2 Retrievals from OCO-2, Remote Sensing, 9(11), 1102; doi:10.3390/rs9111102, 2017
DOI: 10.5285/dae723e78f9f4a0b9712f352f0a0231d
title: weather@home 2010 global simulations and climatology (1986-2016)

description: This dataset contains atmospheric data, such as wind field and surface air temperature, obtained by running the weather@home general circulation model for the year 2010. The aim of this dataset is to study the 2010 weather extremes which have affected Western Russian and Pakistan. The dataset contains data for both the regional and global GCM models provided as NetCDF v3 files. The gridded global model output is at 1.25°x1.875° (N96) horizontal resolution. The regional model output is provided on a rotated longitude-latitude grid at a 50 km (0.44°x0.44°) horizontal resolution centred over South Asia. In order to compare 2010 data to the climatology of the model, the climatology is calculated for the years 1986 to 2016. This dataset has been produced by the University of Oxford, in cooperation the Potsdam Institute for Climate Impact Research and the VU University of Amsterdam in the context of the GOTHAM project, funded by the Belmont Forum through the Natural Environment Research Council (NE/P006779/1). The weather@home model runs on the climateprecictions.net platform, which provides a volunteer distributed computational system. This dataset contains weather@home global and regional simulations for the year 2010 and for the climatology of both models for the period 1986-2016. The data comprises of: ~700 ensemble members for weather@home (global model) for 2010 (batch 778) ~700 ensemble members for weather@home (regional model, South Asia) for 2010 (nested on batch 778) ~170 ensemble members per year for the period (1987-2016) for weather@home (global model) (batch 845) ~100 ensemble members per year for the period (1986-2015) for weather@home (regional model, South Asia) (batch 697, not nested on batch 845) extracted variables: At daily resolution: geopotential height 300 hPa (item16202), meridional wind velocity at 300 hPa (item15202), surface air temperature at 1.5m (item 3236), precipitation (item5216) At monthly resolution: soil moisture (item8208)
DOI: 10.15468/ygbjh9
title: The Baetidae (Ephemeroptera) of the Comoros and Mayotte

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kaltenbach, Thomas, Mary, Nathalie, Gattolliat, Jean-Luc (2021): The Baetidae (Ephemeroptera) of the Comoros and Mayotte. African Invertebrates 62 (2): 427-463, DOI: http://dx.doi.org/10.3897/afrinvertebr.62.70632, URL: http://dx.doi.org/10.3897/afrinvertebr.62.70632
DOI: 10.15468/bwk454
title: A new Colombian species of Liodessus diving beetles from the Paramo de Sumapaz (Coleoptera, Dytiscidae, Bidessini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Balke, Michael, Suarez-Megna, Yoandri, Ospina-Torres, Rodulfo, Venegas, Juan Simon, Prieto, Carlos, Hendrich, Lars (2021): A new Colombian species of Liodessus diving beetles from the Paramo de Sumapaz (Coleoptera, Dytiscidae, Bidessini). ZooKeys 1059: 79-87, DOI: http://dx.doi.org/10.3897/zookeys.1059.70134, URL: http://dx.doi.org/10.3897/zookeys.1059.70134
DOI: 10.48366/r141811
title: Genetic variation in regional and local scale of Lepidoptera inventories using DNA barcoding

description: Comparison between intraspecific genetic variation vs interspecific genetic divergence in regional and local scale (80 000 Km²) in Lepidoptera species inventories
DOI: 10.6084/m9.figshare.16566414
title: Online Food Delivery Service Questionnaire 2021.xlsx

description: The data recorded the survey questionnaire of the consumers' perception and attitude towards online food delivery services (OFDS) among Malaysians during and post COVID-19 pandemic. It was adopted from past studies.<br>The variables that studied are the convenience motivation, perceived ease of use, time-saving orientation and price-saving orientation on the attitude and behavioural intention towards using OFDS continuingly after the pandemic.<br>
DOI: 10.5281/zenodo.5494488
title: Patient Representatives' Perspective on Informed Consent: Nominal Group Data

description: For Task 1.6 of the i-CONSENT project, a one day workshop was organised with nine attendees from eight European patient groups. During the workshop, Nominal Group Technique (NGT) was used to explore issues that were considered pertinent within each of the four themes (comprehension, patient expectations, gender and assent), and to reach a consensus in terms of their significance. During this exercise, the workshop facilitator presented a short introduction to the theme, before each participant was given sticky notes and instructed to write down as many individual issues as possible using a separate sticky note for each idea. There was no limit to the number of ideas the participants could generate. This stage was conducted in silence and repeated for each of the four themes. The attached documents include the list of all the ideas collected on sticky notes notes during this stage and the ranking of the items done by the participants.
DOI: 10.5281/zenodo.5105559
title: Patient Representatives' Perspective on Informed Consent: Nominal Group Data

description: For Task 1.6 of the i-CONSENT project, a one day workshop was organised with nine attendees from eight European patient groups. During the workshop, Nominal Group Technique (NGT) was used to explore issues that were considered pertinent within each of the four themes (comprehension, patient expectations, gender and assent), and to reach a consensus in terms of their significance. During this exercise, the workshop facilitator presented a short introduction to the theme, before each participant was given sticky notes and instructed to write down as many individual issues as possible using a separate sticky note for each idea. There was no limit to the number of ideas the participants could generate. This stage was conducted in silence and repeated for each of the four themes. The attached documents include the list of all the ideas collected on sticky notes notes during this stage and the ranking of the items done by the participants.
DOI: 10.25402/fsg.16586378
title: imt-2021-0013 - Supplementary Material - Ruxolitinib, a JAK1/JAK2 selective inhibitor, ameliorates acute and chronic steroid-refractory GvHD mouse models

description: <b>Supplementary Table 2. Assessment of GvHD in transplanted mice – modified chronic sclerodermatous GvHD scoring protocol.</b>
DOI: 10.25402/fsg.16586378.v1
title: imt-2021-0013 - Supplementary Material - Ruxolitinib, a JAK1/JAK2 selective inhibitor, ameliorates acute and chronic steroid-refractory GvHD mouse models

description: <b>Supplementary Table 2. Assessment of GvHD in transplanted mice – modified chronic sclerodermatous GvHD scoring protocol.</b>
DOI: 10.25402/fsg.16586372
title: imt-2021-0013 - Supplementary Material - Ruxolitinib, a JAK1/JAK2 selective inhibitor, ameliorates acute and chronic steroid-refractory GvHD mouse models

description: <b>Supplementary </b><b>Table 1. Assessment of GvHD – standard GvHD scoring protocol </b><b>[18].</b>
DOI: 10.25402/fsg.16586372.v1
title: imt-2021-0013 - Supplementary Material - Ruxolitinib, a JAK1/JAK2 selective inhibitor, ameliorates acute and chronic steroid-refractory GvHD mouse models

description: <b>Supplementary </b><b>Table 1. Assessment of GvHD – standard GvHD scoring protocol </b><b>[18].</b>
DOI: 10.6084/m9.figshare.16586379
title: S4: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Recalculated petrographic parameters
DOI: 10.6084/m9.figshare.16586379.v1
title: S4: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Recalculated petrographic parameters
DOI: 10.6084/m9.figshare.16586382.v1
title: S6: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Degree of grains rounding
DOI: 10.6084/m9.figshare.16586382
title: S6: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Degree of grains rounding
DOI: 10.6084/m9.figshare.16586388
title: S5: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Recalculated roundness parameters
DOI: 10.6084/m9.figshare.16586388.v1
title: S5: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Recalculated roundness parameters
DOI: 10.6084/m9.figshare.16586391.v1
title: S1: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Geographic exposure v. mean roundness degree
DOI: 10.6084/m9.figshare.16586391
title: S1: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Geographic exposure v. mean roundness degree
DOI: 10.6084/m9.figshare.16586394
title: S7: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Mean roundness v. grain size
DOI: 10.6084/m9.figshare.16586394.v1
title: S7: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Mean roundness v. grain size
DOI: 10.6084/m9.figshare.16586397.v1
title: S3: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Raw data (sand composition and roundness)
DOI: 10.6084/m9.figshare.16586397
title: S3: Provenance controls on volcaniclastic beach sand: example from the Aeolian Archipelago, Mediterranean Sea

description: Raw data (sand composition and roundness)
DOI: 10.48544/4da913e1-adbb-4cf1-b0c6-308379cf5057
title: De (on)gelukkige relatie tussen Covid-19 en werkgeluk
DOI: 10.6084/m9.figshare.15042809.v1
title: The QSAR-search of effective agents towards coronaviruses applying the Monte Carlo method

description: Perhaps there is some similarity between the coronavirus of 2017 and the COVID-19. Consequently, a predictive model for the antiviral activity for the Middle East respiratory syndrome coronavirus (MERS‐CoV, 2017) could be useful for designing the strategy and tactics in the struggle with coronaviruses in general and with COVID 19 in particular. Quantitative structure-activity relationships (QSARs) of inhibitory activity to MERS-CoV were developed. The index of ideality of correlation was applied to build up these models for the antiviral activity. The statistical quality of the best model is quite good (<i>r</i><sup>2</sup> = 0.84). A mechanistic interpretation of these models based on the molecular features with strong positive (i.e. promoters for endpoint increase) and strong negative (i.e. promoters for endpoint decrease) influence on the inhibitory activity is suggested. A collection of possible biologically active compounds, constructed using data on the above molecular features which are statistically reliable promoters of increase or decrease of the activity, is presented.
DOI: 10.6084/m9.figshare.15042809
title: The QSAR-search of effective agents towards coronaviruses applying the Monte Carlo method

description: Perhaps there is some similarity between the coronavirus of 2017 and the COVID-19. Consequently, a predictive model for the antiviral activity for the Middle East respiratory syndrome coronavirus (MERS‐CoV, 2017) could be useful for designing the strategy and tactics in the struggle with coronaviruses in general and with COVID 19 in particular. Quantitative structure-activity relationships (QSARs) of inhibitory activity to MERS-CoV were developed. The index of ideality of correlation was applied to build up these models for the antiviral activity. The statistical quality of the best model is quite good (<i>r</i><sup>2</sup> = 0.84). A mechanistic interpretation of these models based on the molecular features with strong positive (i.e. promoters for endpoint increase) and strong negative (i.e. promoters for endpoint decrease) influence on the inhibitory activity is suggested. A collection of possible biologically active compounds, constructed using data on the above molecular features which are statistically reliable promoters of increase or decrease of the activity, is presented.