cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7083464
title: The Natural History Museum's collection of Dalbergia, Pterocarpus and the Phaseolinae subtribe

description: In 2018 the Natural History Museum (NHMUK, herbarium code: BM) undertook a pilot digitisation project together with the Royal Botanic Gardens Kew (project Lead) and the Royal Botanic Garden Edinburgh to collectively digitise non-type herbarium material of the subtribe <em>Phaseolinae</em> and the genera <em>Dalbergia </em>L.f. and <em>Pterocarpus</em> Jacq. (rosewoods and padauk), all from the economically important family of legumes (<em>Leguminosae</em> or <em>Fabaceae</em>). These taxonomic groups were chosen for two case studies using the herbarium collections to support the aims of the UK’s Department for Environment Food & Rural Affairs (DEFRA)-allocated, Official Development Assistance (ODA) funding: study 1 - to support the development of dry beans as a sustainable and resilient crop; study 2 - to aid conservation and sustainable use of rosewoods and padauk. We present the images and metadata for 11,222 NHMUK specimens. This includes label transcription and georeferencing, along with summary data on geographic, taxonomic, collector and temporal coverage. We also provide timings and the methodology for our transcription and georeferencing protocols. Approximately 35% of specimens digitised were collected in ODA-listed countries, in tropical Africa, but also in south east Asia and South America.
DOI: 10.5281/zenodo.7083465
title: The Natural History Museum's collection of Dalbergia, Pterocarpus and the Phaseolinae subtribe

description: In 2018 the Natural History Museum (NHMUK, herbarium code: BM) undertook a pilot digitisation project together with the Royal Botanic Gardens Kew (project Lead) and the Royal Botanic Garden Edinburgh to collectively digitise non-type herbarium material of the subtribe <em>Phaseolinae</em> and the genera <em>Dalbergia </em>L.f. and <em>Pterocarpus</em> Jacq. (rosewoods and padauk), all from the economically important family of legumes (<em>Leguminosae</em> or <em>Fabaceae</em>). These taxonomic groups were chosen for two case studies using the herbarium collections to support the aims of the UK’s Department for Environment Food & Rural Affairs (DEFRA)-allocated, Official Development Assistance (ODA) funding: study 1 - to support the development of dry beans as a sustainable and resilient crop; study 2 - to aid conservation and sustainable use of rosewoods and padauk. We present the images and metadata for 11,222 NHMUK specimens. This includes label transcription and georeferencing, along with summary data on geographic, taxonomic, collector and temporal coverage. We also provide timings and the methodology for our transcription and georeferencing protocols. Approximately 35% of specimens digitised were collected in ODA-listed countries, in tropical Africa, but also in south east Asia and South America.
DOI: 10.5281/zenodo.7274404
title: The Natural History Museum's collection of Dalbergia, Pterocarpus and the Phaseolinae subtribe

description: In 2018 the Natural History Museum (NHMUK, herbarium code: BM) undertook a pilot digitisation project together with the Royal Botanic Gardens Kew (project Lead) and the Royal Botanic Garden Edinburgh to collectively digitise non-type herbarium material of the subtribe <em>Phaseolinae</em> and the genera <em>Dalbergia </em>L.f. and <em>Pterocarpus</em> Jacq. (rosewoods and padauk), all from the economically important family of legumes (<em>Leguminosae</em> or <em>Fabaceae</em>). These taxonomic groups were chosen for two case studies using the herbarium collections to support the aims of the UK’s Department for Environment Food & Rural Affairs (DEFRA)-allocated, Official Development Assistance (ODA) funding: study 1 - to support the development of dry beans as a sustainable and resilient crop; study 2 - to aid conservation and sustainable use of rosewoods and padauk. We present the images and metadata for 11,222 NHMUK specimens. This includes label transcription and georeferencing, along with summary data on geographic, taxonomic, collector and temporal coverage. We also provide timings and the methodology for our transcription and georeferencing protocols. Approximately 35% of specimens digitised were collected in ODA-listed countries, in tropical Africa, but also in south east Asia and South America.
DOI: 10.6084/m9.figshare.21468774
title: data perindopril vs losartan in coagulation factor.sav

description: <strong>Comparison of Perindopril vs. Losartan with regard to Pro-coagulation Factors in Adipocytes Exposed to SARS-COV-2 Spike Protein</strong>
DOI: 10.6084/m9.figshare.21468774.v1
title: data perindopril vs losartan in coagulation factor.sav

description: <strong>Comparison of Perindopril vs. Losartan with regard to Pro-coagulation Factors in Adipocytes Exposed to SARS-COV-2 Spike Protein</strong>
DOI: 10.6084/m9.figshare.21469377
title: I2G Benchmark

description: Inappropriate Image Prompts (I2G) benchmark for text to image diffusion models.
DOI: 10.6084/m9.figshare.21469377.v1
title: I2G Benchmark

description: Inappropriate Image Prompts (I2G) benchmark for text to image diffusion models.
DOI: 10.34876/yf4n-6902
title: Longitudinal documentation of clinical symptoms assessed during the Pneumocystis spp. study in pigs

description: Data underlying the article "Pneumocystis spp. in pigs: a longitudinal quantitative study and co-infections assessment in Austrian farms"
DOI: 10.5519/qd.j2kvc5re
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (768 records)
DOI: 10.34876/13d4-gc84
title: Species, signalment, origin, pathological findings, and ISH results

description: Raw data of the study "Detection of Pneumocystis and morphological description of fungal distribution and severity of infection in eight mammal orders"; the file contains order, suborder, family, species and breed, age, sex origin, main pathomorphological diagnosis, co-infections and concomitant diseases, and results of in situ hybridization and histopathology of 845 animals
DOI: 10.5519/qd.h3sb09ll
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (819247 records)
DOI: 10.5281/zenodo.4906514
title: Modelling and Simulation of the Gaseous Fission Product Removal in the Molten Salt Fast Reactor - Dataset

description: Dataset associated to the NURETH-19 conference paper "Modelling and Simulation of the Gaseous Fission Product Removal in the Molten Salt Fast Reactor".
DOI: 10.5281/zenodo.4906513
title: Modelling and Simulation of the Gaseous Fission Product Removal in the Molten Salt Fast Reactor - Dataset

description: Dataset associated to the NURETH-19 conference paper "Modelling and Simulation of the Gaseous Fission Product Removal in the Molten Salt Fast Reactor".
DOI: 10.5281/zenodo.4912612
title: Modelling and Simulation of the Gaseous Fission Product Removal in the Molten Salt Fast Reactor - Dataset

description: Dataset associated to the NURETH-19 conference paper "Modelling and Simulation of the Gaseous Fission Product Removal in the Molten Salt Fast Reactor".
DOI: 10.5281/zenodo.5589770
title: Database of PV output forecast errors

description: This database is extracted from 180 studies on PV output forecasting and is used for the research paper "What drives the accuracy of PV output forecasts?". The data of 21 key variables including the publishing year of the papers, the error values, data processing techniques used by the models, the length of the test sets, the forecast resolution, the country and region of the studies, the methodology of the forecast models, the forecast horizon, and the error metrics are included. Besides, other information such as the weather condition of the forecasts, the number of power plants, the installed capacity... is also included.
description: Funding: Germany Federal Ministry of Economic Affairs and Energy under the project reference FKZ 03ET4056
DOI: 10.5281/zenodo.5589771
title: Database of PV output forecast errors

description: This database is extracted from 180 studies on PV output forecasting and is used for the research paper "What drives the accuracy of PV output forecasts?". The data of 21 key variables including the publishing year of the papers, the error values, data processing techniques used by the models, the length of the test sets, the forecast resolution, the country and region of the studies, the methodology of the forecast models, the forecast horizon, and the error metrics are included. Besides, other information such as the weather condition of the forecasts, the number of power plants, the installed capacity... is also included.
description: Funding: Germany Federal Ministry of Economic Affairs and Energy under the project reference FKZ 03ET4056
DOI: 10.5281/zenodo.7274381
title: A database of skill scores on solar forecasting

description: We screen 1,447 papers from Google Scholar, among which the full texts of 320 papers from 2006 to 2022 are thoroughly reviewed for data extraction. A database of 4,687 observations of most of the key factors that can influence the forecast accuracy was built. Analyzing the database using statistical methods (e.g., linear regression), the marginal impacts on skill score of many important factors can be quantified, including climate zone, forecast horizon, inputs, forecast models, resolution of forecasts, train and test data length, type of forecasts (i.e., solar resource or PV output forecasting), and publication date. As the database covers most of the literature on the field that provide skill score, the findings from the database can be applied globally. In the database file, there is a sheet named "Database", which we used for our analysis. Our findings have been published in a working paper (https://arxiv.org/ftp/arxiv/papers/2208/2208.10536.pdf) and are prepared for a journal paper publication. Furthermore, there is a sheet named "LargerDatabase", which include additional variables that we have extracted from the literature but did not include in our analysis to avoid multicollinearity problem. For example, information of irradiance level of regions (GHI, DIF, DNI), the installed capacity of the power plant, country and region of the forecasts, and the use of different techniques (data processing techniques, data engineering and feature selection techniques...) can be found in the LargerDatabase sheet. These additional variables can be of interest to many scholars.
DOI: 10.6084/m9.figshare.21471264
title: Mater Data Hepatitis

description: Data consists of polymorphisms towards HBV DNA
DOI: 10.6084/m9.figshare.21470892
title: Enthalpy and heat capacity vs temperature of FeNiC alloy

description: Enthalpy and heat capacity vs temperature of FeNiC alloy. The enthalpy of each phase is assumed to linearly vary with temperature and is extracted from JMatPro
DOI: 10.6084/m9.figshare.21470892.v1
title: Enthalpy and heat capacity vs temperature of FeNiC alloy

description: Enthalpy and heat capacity vs temperature of FeNiC alloy. The enthalpy of each phase is assumed to linearly vary with temperature and is extracted from JMatPro
DOI: 10.5281/zenodo.7274433
title: Raw time series of GNSS sites used in the manuscript 'South China plate motion modified by 2008 Mw7.9 great Wenchuan earthquake'

description: The *.pre.*.neu files are raw position time series before the Wenchuan earthquake (from July 2001 to December 2004) and the *.aft.*.neu files are the raw position time series after the Wenchuan earthquake (from July 2014 to December 2017). The file 'breaks' contains the epochs of breaks due to equipment changes or that are identified visually.
DOI: 10.5281/zenodo.7274432
title: Raw time series of GNSS sites used in the manuscript 'South China plate motion modified by 2008 Mw7.9 great Wenchuan earthquake'

description: The *.pre.*.neu files are raw position time series before the Wenchuan earthquake (from July 2001 to December 2004) and the *.aft.*.neu files are the raw position time series after the Wenchuan earthquake (from July 2014 to December 2017). The file 'breaks' contains the epochs of breaks due to equipment changes or that are identified visually.
DOI: 10.6084/m9.figshare.21468684
title: Density vs T NiFeC.xlsx

description: Variation of density (<em>ρ</em>) with the temperature of a FeNiC alloy, which is used to consider the transient variation of this property during simulations. This data is based on the results from dilatometry and data obtained from JMatPro and was fitted to different polynomial-type equations
DOI: 10.6084/m9.figshare.21455910.v1
title: Evaluation of Acute Stress in the Domestic Rabbit (Oryctolagus cuniculus f. domestica) by Determination of Glucocorticoids in the Saliva

description: Salivary corticosterone levels in domestic rabbits.
DOI: 10.6084/m9.figshare.21455910
title: Saliva corticosterone in the Domestic Rabbit (Oryctolagus cuniculus f. domestica)

description: Salivary corticosterone levels in domestic rabbits.
DOI: 10.6084/m9.figshare.21455910.v2
title: Evaluation of Acute Stress in the Domestic Rabbit (Oryctolagus cuniculus f. domestica) by Determination of Glucocorticoids in the Saliva

description: Salivary corticosterone levels in domestic rabbits.
DOI: 10.5281/zenodo.6644946
title: Aurora Publications 2022 | 700.000+ records | Enriched with data measuring Societal Relevance, Societal Impact and Scientific Impact, using SDG's, Unpaywall, Altmetric, Scite and Scival

description: This data set contains 700.000+ publications from all Aurora Universities in the period from the early1700's till mid 2022. Additional tables are added with enrichment data: Societal Relevance data: SDG probabilities, Societal Impact data: Altmetric Mentions in News, Policy and Patents, Unpaywall Open Access Status, Scientific Impact data: Scival Field Weighted Citation Impact Scite Citation Sentiment The enrichment tables can be connected to the master table with the publications by DOI, row numbers, university name and SDG label, as follows: https://zenodo.org/api/files/07fb51a8-5b1c-4a2e-8d94-6b9dd540832f/aurora-connecting-tables.png
description: <b>Acknowledgements</b> Many thanks to all project member for delivering the publications from the Aurora universities <br> <b>Funded by</b> Funded by European Commission, Project ID: 101004013, Call: EAC-A02-2019-1, Programme: EPLUS2020, DG/Agency: EACEA <br> <b>Read more</b> [ Project website | Zenodo Community ] <br> <b>Change log</b> 2022-06-15 | v1.0 | initial version of the collected data
DOI: 10.5281/zenodo.6644947
title: Aurora Publications 2022 | 700.000+ records | Enriched with data measuring Societal Relevance, Societal Impact and Scientific Impact, using SDG's, Unpaywall, Altmetric, Scite and Scival

description: This data set contains 700.000+ publications from all Aurora Universities in the period from the early1700's till mid 2022. Additional tables are added with enrichment data: Societal Relevance data: SDG probabilities, Societal Impact data: Altmetric Mentions in News, Policy and Patents, Unpaywall Open Access Status, Scientific Impact data: Scival Field Weighted Citation Impact Scite Citation Sentiment The enrichment tables can be connected to the master table with the publications by DOI, row numbers, university name and SDG label, as follows: https://zenodo.org/api/files/07fb51a8-5b1c-4a2e-8d94-6b9dd540832f/aurora-connecting-tables.png
description: <b>Acknowledgements</b> Many thanks to all project member for delivering the publications from the Aurora universities <br> <b>Funded by</b> Funded by European Commission, Project ID: 101004013, Call: EAC-A02-2019-1, Programme: EPLUS2020, DG/Agency: EACEA <br> <b>Read more</b> [ Project website | Zenodo Community ] <br> <b>Change log</b> 2022-06-15 | v1.0 | initial version of the collected data
DOI: 10.5281/zenodo.5172754
title: Data Storage for Baylis and Boomhower (2022): Fire Characteristics, Expenditures, and Other Miscellaneous Datasets

description: <pre># Description Zenodo data storage for large, non-proprietary data used in "The Economic Incidence of Wildfire Suppression in the United States", by Patrick Baylis and Judson Boomhower. Main OpenICPSR repository (contains code and main README.txt): https://www.openicpsr.org/openicpsr/workspace?goToPath=/openicpsr/144601 # Contents This storage mirrors the following offline directories used in the code. Each .tar file contains a directory of the same name. To replicate the existing code, users should decompress each directory into raw/, following the structure used in the code. (Note: as described in the main README, running most of the code requires access to proprietary data which is not included in this storage). ## Resulting directory structure To be consistent with the original source code, included the .tar files should be decompressed into the following directory structure within the directory designated by the RAW global in 01_Code/globals.R in the main reposistory. raw/calfire/ raw/census/county-tract/ raw/census/income/ raw/census/populated_places raw/gacc/ raw/geo/ raw/gpw/ raw/hpi/ raw/incidents/CalFire/ raw/incidents/FAMWEB/ raw/incidents/InteriorDepartment/ raw/incidents/FEMA/ raw/incidents/KCFAST/ raw/MTBS/ raw/nifc/ raw/preparedness-spending/doi/ raw/preparedness-spending/usfs/ raw/roads/ raw/USFS/ raw/whp/ raw/wui/</pre>
DOI: 10.5281/zenodo.5172938
title: Data Storage for Baylis and Boomhower (2022): LANDFIRE Aspect, Elevation, Slope, and Anderson 13 Fuel Models

description: <pre># Description Zenodo data storage for large, non-proprietary data used in "The Economic Incidence of Wildfire Suppression in the United States", by Patrick Baylis and Judson Boomhower. Main OpenICPSR repository (contains code and main README.txt): https://www.openicpsr.org/openicpsr/workspace?goToPath=/openicpsr/144601 # Contents This storage mirrors the following offline directories used in the code. Each .tar file contains a directory of the same name. To replicate the existing code, users should decompress each directory into raw/, following the structure used in the code. (Note: as described in the main README, running most of the code requires access to proprietary data which is not included in this storage). ## Resulting directory structure To be consistent with the original source code, included the .tar files should be decompressed into the following directory structure within the directory designated by the RAW global in 01_Code/globals.R in the main reposistory. LANDFIRE/Aspect/ LANDFIRE/DEM_Elevation/ LANDFIRE/Slope/ LANDFIRE/US_140FBFM13_12052016/</pre>
DOI: 10.34740/kaggle/dsv/4438887
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.21432558
title: Inertial oscillations and frontal processes in an Alboran Sea jet, data

description: This repository holds the data used in the study entitled "Inertial oscillations and frontal processes in an Alboran Sea jet: Effects on divergence and vertical transport" which is being submitted to the Journal of Geophysical Research: Oceans (first submission: August 2022). This study reports on the wind response interaction with an ocean current jet in geostrophic balance. The primary objective of the study is to better understand the potential role played by Near Inertial Oscilations (NIOs) in generating vertical transport in the upper ocean. This dataset includes near-surface drifters' tracks (CARTHE and SVP), vessel mounted ADCP (Acoustic Doppler Current Profiler) and underway CTD (Conductivity, Temperature and Depth) as well as data generated by an idealised numerical model (slab-layer type). Details of the files are provided in a README.txt and details on the data processing and analysis are provided in the manuscript to be published.
DOI: 10.6084/m9.figshare.21443064
title: data sheet 1.xlsx

description: Data
DOI: 10.6084/m9.figshare.21443064.v1
title: data sheet 1.xlsx

description: Data
DOI: 10.6084/m9.figshare.21473238
title: Shifting settling regimes of clean and biofouled aquatic microplastics in fluvial to marine waters dataset

description: Dataset of results for paper "Shifting settling regimes of clean and biofouled aquatic microplastics in fluvial to marine waters". <br> Includes: Settling_exp_results_all - the results from the settling experiments of PET, PVC fragments and NP&A fibres at various salinity and clay concentrations. Time_trials - the settling results for PET over 0-8 weeks as biofouling occurs Expected_calculations - the results from using Ferguson & Church (2004) to predict microplastic settling for PET and PVC fragments
DOI: 10.5281/zenodo.7112790
title: Visualizations for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions

description: - Author manuscript version of paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions". - Visualization for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions". This enables the 3D dataset to be visualized using the free software package Paraview (https://www.paraview.org). Instructions are provided. - Animation created of 3D visualization (using Aviso) NOTE: The full set of raw data used to create the results in the paper is available at: <pre>https://doi.org/10.5281/zenodo.7108545</pre>
DOI: 10.5281/zenodo.7112791
title: Visualizations for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions

description: - Author manuscript version of paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions". - Visualization for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions". This enables the 3D dataset to be visualized using the free software package Paraview (https://www.paraview.org). Instructions are provided. - Animation created of 3D visualization (using Aviso) NOTE: The full set of raw data used to create the results in the paper is available at: <pre>https://doi.org/10.5281/zenodo.7108545</pre>
DOI: 10.5281/zenodo.6090249
title: Modelling dynamic precipitation in pre-aged aluminium alloys

description: Calculation of precipitation kinetics under deformation This repository contains the data plotted in https://doi.org/10.1016/j.actamat.2022.118036 as well as the code used to generate them. The code can be run reading the instructions contained in README.txt
description: The developers make no other warranties, express or implied, and hereby disclaims all implied warranties, including any warranty of merchantability and warranty of fitness for a particular purpose. The present code is the one used to generate the data plotted in https://doi.org/10.1016/j.actamat.2022.118036 No support can be provided for this code
DOI: 10.5281/zenodo.6090248
title: Modelling dynamic precipitation in pre-aged aluminium alloys

description: Calculation of precipitation kinetics under deformation This repository contains the data plotted in https://doi.org/10.1016/j.actamat.2022.118036 as well as the code used to generate them. The code can be run reading the instructions contained in README.txt
description: The developers make no other warranties, express or implied, and hereby disclaims all implied warranties, including any warranty of merchantability and warranty of fitness for a particular purpose. The present code is the one used to generate the data plotted in https://doi.org/10.1016/j.actamat.2022.118036 No support can be provided for this code
DOI: 10.5281/zenodo.4751272
title: Deformation Enhanced Diffusion in Aluminium Alloys: Supporting Data

description: Supporting data for paper Deformation Enhanced Diffusion in Aluminium Alloys https://doi.org/10.1007/s11661-020-05960-5 J. D. Robson, METALLURGICAL AND MATERIALS TRANSACTIONS A, VOLUME 51A, OCTOBER 2020—5401-5413
DOI: 10.5281/zenodo.4751271
title: Deformation Enhanced Diffusion in Aluminium Alloys: Supporting Data

description: Supporting data for paper Deformation Enhanced Diffusion in Aluminium Alloys https://doi.org/10.1007/s11661-020-05960-5 J. D. Robson, METALLURGICAL AND MATERIALS TRANSACTIONS A, VOLUME 51A, OCTOBER 2020—5401-5413
DOI: 10.5281/zenodo.3983635
title: Deformation Enhanced Diffusion in Aluminium Alloys - Supporting data

description: Supporting data and manuscript for the paper "Deformation Enhanced Diffusion in Aluminium Alloys" published in Metallurgical and Materials Transactions A.