cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12130980.v97
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.3886/e118948
title: Code for: Macro and Micro Dynamics of Productivity: From Devilish Details to Insights

description: Firm-level revenue-based productivity measures are ubiquitous in studies of firm dynamics and aggregate outcomes. One common measure is increasingly interpreted as reflecting ``distortions" since in distortions' absence, equalization of marginal revenue products should yield no dispersion in this measure. Another common, but distinct, measure is the residual of the firm-level revenue function, which reflects ``fundamentals". Using micro-level U.S. manufacturing data, we find these alternative measures are highly correlated, exhibit similar dispersion, and have similar relationships with growth and survival. However, the distinction between these alternative measures is critically important for quantitative assessment of the level and decline of allocative efficiency. <br>
description: Establishments in U.S. Manufacturing.
DOI: 10.3886/e118948v1
title: Code for: Macro and Micro Dynamics of Productivity: From Devilish Details to Insights

description: Firm-level revenue-based productivity measures are ubiquitous in studies of firm dynamics and aggregate outcomes. One common measure is increasingly interpreted as reflecting ``distortions" since in distortions' absence, equalization of marginal revenue products should yield no dispersion in this measure. Another common, but distinct, measure is the residual of the firm-level revenue function, which reflects ``fundamentals". Using micro-level U.S. manufacturing data, we find these alternative measures are highly correlated, exhibit similar dispersion, and have similar relationships with growth and survival. However, the distinction between these alternative measures is critically important for quantitative assessment of the level and decline of allocative efficiency. <br>
description: Establishments in U.S. Manufacturing.
DOI: 10.17632/hmhfhnn6v6.1
title: Comparative transcriptome analysis of muscle of zebrafish (Danio rerio) acclimated to different environmental temperatures

description: Temperature is an important environmental factor that could alter physiological and biochemical process of fish. We hypothesize that long-term temperature acclimation may alter muscle growth and collagen deposition in zebrafish, thus affecting the flesh texture of fish. Here, comparative transcriptome analysis was conducted to explore the potential molecular mechanism underlying the effects of temperature on flesh texture (collagen depostion, muscle fiber growth, etc) of zebrafish. We analyzed the differentially expressed genes (DEGs) between muscle of zebrafish acclimated to different temperatures (18°C，28°C，34°C) . Several important DEGs and KEGG pathways were identified to be potentially involved in the temperature-regulated alternation of flesh texture of fish. File S1: Expression and functional annotation of unigenes in differerent temperature groups; File S2: DEGs of muscle in 18 °C vs 28 °C group; File S3: DEGs of muscle in 28 °C vs 34 °C group； File S4: DEGs of muscle in 18 °C vs 34 °C group； File S5: KEGG pathway enrichment analysis of the DEGs in 18 °C vs 28 °C group; File S6: KEGG pathway distribution of the DEGs in 18 °C vs 28 °C group. File S7: KEGG pathway enrichment analysis of the DEGs in 28 °C vs 34 °C group; File S8: KEGG pathway distribution of the DEGs in 28 °C vs 34 °C group. File S9: KEGG pathway enrichment analysis of the DEGs in 18 °C vs 34 °C group; File S10: KEGG pathway distribution of the DEGs in 18 °C vs 34 °C group.
DOI: 10.17632/3v37p6hxk6.1
title: Meteorological Data Set of the Canary Islands

description: The dataset collects the meteorological data of the seven Canary Islands (Tenerife, Las Palmas, La Palma, Fuerteventura, La Gomera, Lanzarote and El Hierro).
DOI: 10.15468/z5vr5y
title: Triplocania Roesler: a new species, redescriptions, description of the female of Triplocania spinosa Mockford, and revalidation of the original combination of Belicania cervantesi (García Aldrete) (Psocodea: ‘ Psocoptera’: Ptiloneuridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Silva-Neto, Alberto Moreira da, Aldrete, Alfonso Neri García, Rafael, José Albertino (2018): Triplocania Roesler: a new species, redescriptions, description of the female of Triplocania spinosa Mockford, and revalidation of the original combination of Belicania cervantesi (García Aldrete) (Psocodea: ‘ Psocoptera’: Ptiloneuridae). Papéis Avulsos de Zoologia 58: 1-11, DOI: 10.11606/1807-0205/2018.58.21
DOI: 10.6084/m9.figshare.12957380
title: Spatial genetic patterns of Octopus vulgaris in the Mediterranean Sea

description: octovul_630.fas: Full data set in FASTA file format containing 860 partial sequences of the Cytochrome c oxidase subunit I (COI). Data set was assembled merging new sequences (458) with those available on Genbank. Sequences were trimmed to a length of 621 bp.<br><br>octomed.fas: Full data set in FASTA file format containing 782 partial sequences of the Cytochrome c oxidase subunit I (COI). Data set was assembled merging new sequences (442) with those available on Genbank. Sequences were trimmed to 500 bp length.<br>monthly_currents_Jul_Dec_1998_2015.nc: data set in netCDF file format of monthly averaged mean marine currents. Data set encompass the period from July 1998 to December 2015 and contains only months covering the reproductive and recruitment period of Octopus vulgaris in the Mediterranean (July to December). The file was generated by modifying data set of monthly mean marine currents available at European Union (EU) Copernicus Marine Service Information ((http://marine.copernicus.eu/). Monthly mean currents over the period here considered were downloaded by Mediterranean Sea physical reanalysis (MEDREA 1987-2015) dataset, whose model horizontal grid resolution is 1/16˚ (about 6-7 km). The resulting netCDF file was uploaded within the R 3.5.2 statistical environment (R Core Team 2015) using the library ncdf4 1.17 (Pierce 2019) and it was cropped in order to contain only months from July to December. The R script to crop the data set is available upon request by the author <br> <br>
DOI: 10.6084/m9.figshare.12957380.v1
title: Spatial genetic patterns of Octopus vulgaris in the Mediterranean Sea

description: octovul_630.fas: Full data set in FASTA file format containing 860 partial sequences of the Cytochrome c oxidase subunit I (COI). Data set was assembled merging new sequences (458) with those available on Genbank. Sequences were trimmed to a length of 621 bp.<br><br>octomed.fas: Full data set in FASTA file format containing 782 partial sequences of the Cytochrome c oxidase subunit I (COI). Data set was assembled merging new sequences (442) with those available on Genbank. Sequences were trimmed to 500 bp length.<br>monthly_currents_Jul_Dec_1998_2015.nc: data set in netCDF file format of monthly averaged mean marine currents. Data set encompass the period from July 1998 to December 2015 and contains only months covering the reproductive and recruitment period of Octopus vulgaris in the Mediterranean (July to December). The file was generated by modifying data set of monthly mean marine currents available at European Union (EU) Copernicus Marine Service Information ((http://marine.copernicus.eu/). Monthly mean currents over the period here considered were downloaded by Mediterranean Sea physical reanalysis (MEDREA 1987-2015) dataset, whose model horizontal grid resolution is 1/16˚ (about 6-7 km). The resulting netCDF file was uploaded within the R 3.5.2 statistical environment (R Core Team 2015) using the library ncdf4 1.17 (Pierce 2019) and it was cropped in order to contain only months from July to December. The R script to crop the data set is available upon request by the author <br> <br>
DOI: 10.15468/r2faby
title: A new species of Arene (Vetigastropoda, Areneidae) from Canopus Bank, off NE Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cavallari, Daniel Caracanhas, Simone, Luiz Ricardo Lopes de (2018): A new species of Arene (Vetigastropoda, Areneidae) from Canopus Bank, off NE Brazil. Papéis Avulsos de Zoologia 58: 1-4, DOI: 10.11606/1807-0205/2018.58.23
DOI: 10.5281/zenodo.4946917
title: Exploratory analysis using machine learning of predictive factors for falls in persons with type 2 diabetes: A Longitudinal Study

description: The risk of falls in elderly individuals with diabetes was reported to be 1.5 - 3 times higher than in those without diabetes. However, it is not clear what risk factors are strongly related to falls in those with diabetes. In this study, we aimed to investigate the status of falls and to identify important risk factors for falls in persons with type 2 diabetes (T2D) including the non-elderly. Participants were 316 persons with T2D who were admitted to the University of Tsukuba Hospital for treatment of diabetes. They were assessed for medical history, laboratory data and physical capabilities during the hospitalization and were given a questionnaire on falls one year after discharge. Two different statistical models, logistic regression and random forest classifier, were used to investigate important predictors of falls. The response rate to the survey was 72%; of the 226 respondents, there were 129 males and 97 females (median age 62 years). The fall rate during the first year after discharge was 19% and increased with age; fall rates were 17% for those &lt;60 years, 20% for those aged 60 – 69 years and 24% for those ≥70 years. Logistic regression revealed that knee extension strength (β= -0.698, P = 0.002), fasting C-peptide (F-CPR) level (β= 0.492, P = 0.009) and dorsiflexion strength (β= -0.432, P = 0.047) were independent predictors of falls. The random forest classifier placed knee extension strength (covariate importance = 0.304), grip strength (0.234), F-CPR level (0.232) and dorsiflexion strength (0.230) in the top 4 important variables for falls. The rate of falls in persons with T2D was high even in middle age. Lower extremity muscle weakness as well as elevated F-CPR levels and reduced grip strength were shown to be important risk factors for falls in T2D.
DOI: 10.5281/zenodo.4744325
title: Exploratory analysis using machine learning of predictive factors for falls in persons with type 2 diabetes: A Longitudinal Study

description: The risk of falls in elderly individuals with diabetes was reported to be 1.5 - 3 times higher than in those without diabetes. However, it is not clear what risk factors are strongly related to falls in those with diabetes. In this study, we aimed to investigate the status of falls and to identify important risk factors for falls in persons with type 2 diabetes (T2D) including the non-elderly. Participants were 316 persons with T2D who were admitted to the University of Tsukuba Hospital for treatment of diabetes. They were assessed for medical history, laboratory data and physical capabilities during the hospitalization and were given a questionnaire on falls one year after discharge. Two different statistical models, logistic regression and random forest classifier, were used to investigate important predictors of falls. The response rate to the survey was 72%; of the 226 respondents, there were 129 males and 97 females (median age 62 years). The fall rate during the first year after discharge was 19% and increased with age; fall rates were 17% for those &lt;60 years, 20% for those aged 60 – 69 years and 24% for those ≥70 years. Logistic regression revealed that knee extension strength (β= -0.698, P = 0.002), fasting C-peptide (F-CPR) level (β= 0.492, P = 0.009) and dorsiflexion strength (β= -0.432, P = 0.047) were independent predictors of falls. The random forest classifier placed knee extension strength (covariate importance = 0.304), grip strength (0.234), F-CPR level (0.232) and dorsiflexion strength (0.230) in the top 4 important variables for falls. The rate of falls in persons with T2D was high even in middle age. Lower extremity muscle weakness as well as elevated F-CPR levels and reduced grip strength were shown to be important risk factors for falls in T2D.
DOI: 10.6084/m9.figshare.12765968
title: Franco-Cantabrian dataset

description: 190 Franco-Cantabrian samples genotyped with Affymetrix Axiom® Genome-Wide Human Origins 1 array.
DOI: 10.5281/zenodo.4983576
title: Base de données / Sons instruments

description: Différente note de musiques de guitare et piano
DOI: 10.34740/kaggle/dsv/2348129
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.14806707
title: Collagen Conc Animals Stover 2021.xlsx

description: The collagen concentrations for young and adult domestic turkeys, as well as wild turkeys as measured by hydroxyproline concentration.
DOI: 10.6084/m9.figshare.14806707.v1
title: Collagen Conc Animals Stover 2021.xlsx

description: The collagen concentrations for young and adult domestic turkeys, as well as wild turkeys as measured by hydroxyproline concentration.
DOI: 10.6084/m9.figshare.14806731
title: muscle fiber csa Animals Stover 2021.xlsx

description: The muscle fiber cross sectional areas for wild, young domestic and adult domestic turkeys as measured by the area surrounded by endomysium on SEM images of lateral gastrocnemius muscle samples.
DOI: 10.6084/m9.figshare.14806731.v1
title: muscle fiber csa Animals Stover 2021.xlsx

description: The muscle fiber cross sectional areas for wild, young domestic and adult domestic turkeys as measured by the area surrounded by endomysium on SEM images of lateral gastrocnemius muscle samples.
DOI: 10.5517/ccdc.csd.cc24v1ln
title: CCDC 1991241: Experimental Crystal Structure Determination

description: Related Article: David Elder, Paul Taylor, Robert O. Gould|1992|Thesis|||
DOI: 10.5517/ccdc.csd.cc251gzp
title: CCDC 1997422: Experimental Crystal Structure Determination

description: Related Article: Jannik Benecke, Erik Svensson Grape, Alexander Fuß, Stephan Wöhlbrandt, Tobias A. Engesser, A. Ken Inge, Norbert Stock, Helge Reinsch|2020|Inorg.Chem.|59|9969|doi:10.1021/acs.inorgchem.0c01124
DOI: 10.5517/ccdc.csd.cc25kw5t
title: CCDC 2013176: Experimental Crystal Structure Determination

description: Related Article: Zhuoer Wang|2021|CSD Communication|||
DOI: 10.5281/zenodo.4983856
title: Photochemical model data for "Impact production of nitrogen oxides in the Hadean atmosphere"

description: This is raw data associated with the publication "Impact production of nitrogen oxides in the Hadean atmosphere" submitted to the Journal of Geophysical Research: Planets. A reference will be provided on acceptance. The two data files are: ARGO_model_data_neutral_case.txt<br> ARGO_model_data_reducing_case.txt These contain the model output used to generate figures in the paper for the neutral and reducing atmospheres, respectively.
DOI: 10.15468/z7e2xw
title: Taxonomic review of the subfamily Lohmannellinae (Acari: Trombidiformes Halacaridae) with morphological comparisons among genera

description: This dataset contains the digitized treatments in Plazi based on the original journal article Abé, Hiroshi (2021): Taxonomic review of the subfamily Lohmannellinae (Acari: Trombidiformes Halacaridae) with morphological comparisons among genera. Zootaxa 4980 (2): 201-255, DOI: https://doi.org/10.11646/zootaxa.4980.2.1
DOI: 10.6084/m9.figshare.13703407
title: Cognitive Performance in Pain is Predicted by Effort, Not Goal Desire - Data

description: These data show that effort, and not financial rewards or motivation to achieve a goal, predict cognitive-task performance both in and out of pain. A lab-based study with small- and large-financial incentives and induced pain.
DOI: 10.15468/wxq6s8
title: A new species of Trichomyia (Diptera: Psychodidae: Trichomyiinae) and report of antennal sensilla in adult

description: This dataset contains the digitized treatments in Plazi based on the original journal article Araújo, Maíra Xavier, Bravo, Freddy (2018): A new species of Trichomyia (Diptera: Psychodidae: Trichomyiinae) and report of antennal sensilla in adult. Papéis Avulsos de Zoologia (e 20185837) 58: 1-5, DOI: 10.11606/1807-0205/2018.58.37
DOI: 10.6084/m9.figshare.14806839.v1
title: muscle force pcsa Animals Stover 2021.xlsx

description: Muscle force per physiological cross sectional area for wild turkeys and young and adult domestic turkeys.
DOI: 10.6084/m9.figshare.14806839
title: muscle force pcsa Animals Stover 2021.xlsx

description: Muscle force per physiological cross sectional area for wild turkeys and young and adult domestic turkeys.
DOI: 10.5281/zenodo.4809980
title: Dataset supporting the manuscript dedicated to lignin precursor incorporation analysis, bioorthogonal labeling, parametric and AI based segmentation.

description: This dataset aims to test the algorithms presented in an article submitted by the authors and untitled: <strong>The combination of chemical reporter-, segmentation- and ratiometric-methods enables high-quality mapping of lignification dynamics in plant cell walls</strong> <strong>Are available:</strong> -the algorithm with graphical user interface for imageJ and its installation procedure ("Cell_Wall_Segmentation " and "Tutorial Cell_Wall_Segmentation") -a folder comprising a classifier and a data set compatible with the machine learning part of the algorithm "data and classifier for weka" - representative images adapted for testing “representative images” - the macro corresponding to the parametric segmentation procedure (see imageJ documentation for installation instructions) “parametric_segmentation”
DOI: 10.5281/zenodo.4809979
title: Dataset supporting the manuscript dedicated to lignin precursor incorporation analysis, bioorthogonal labeling, parametric and AI based segmentation.

description: This dataset aims to test the algorithms presented in an article submitted by the authors and untitled: <strong>The combination of chemical reporter-, segmentation- and ratiometric-methods enables high-quality mapping of lignification dynamics in plant cell walls</strong> <strong>Are available:</strong> -the algorithm with graphical user interface for imageJ and its installation procedure ("Cell_Wall_Segmentation " and "Tutorial Cell_Wall_Segmentation") -a folder comprising a classifier and a data set compatible with the machine learning part of the algorithm "data and classifier for weka" - representative images adapted for testing “representative images” - the macro corresponding to the parametric segmentation procedure (see imageJ documentation for installation instructions) “parametric_segmentation”
DOI: 10.5281/zenodo.4983658
title: Scripts and raw data for comparing 2D vs 3D image analysis of zebrafish embryo microscopic data

description: Raw data and MatLab scripts used for image analysis of RNA polymerase II with serine 5 phosphorylation in the C-terminal domain (CTD) of the subunit 1 (Pol II Ser5P) in a fixed zebrafish embryo, comparing a 2D vs 3D approach to segment out the Pol II Ser5P clusters. Pol II Ser5P was labeled by immunofluorescence, microscopy images were acquired by instant-SIM microscopy and analyzed using MatLab scripts and the bioformats importer.
description: Steps needed to carry out the analysis: 1. (if necessary) Install bfmatlab from OME, add it to the MatLab path 2. Run comparison_script.m
DOI: 10.5281/zenodo.4983657
title: Scripts and raw data for comparing 2D vs 3D image analysis of zebrafish embryo microscopic data

description: Raw data and MatLab scripts used for image analysis of RNA polymerase II with serine 5 phosphorylation in the C-terminal domain (CTD) of the subunit 1 (Pol II Ser5P) in a fixed zebrafish embryo, comparing a 2D vs 3D approach to segment out the Pol II Ser5P clusters. Pol II Ser5P was labeled by immunofluorescence, microscopy images were acquired by instant-SIM microscopy and analyzed using MatLab scripts and the bioformats importer.
description: Steps needed to carry out the analysis: 1. (if necessary) Install bfmatlab from OME, add it to the MatLab path 2. Run comparison_script.m
DOI: 10.21227/y32j-xg16
title: THERMAL INFRARED AND MULTISPECTRAL IMAGE DATASET

description: This is the image dataset for satellite image processing which is a collection therml infrared and multispectral images .
DOI: 10.3886/e117241
title: Data and Code for: Trade in Commodities and Business Cycle Volatility

description: This paper studies the role of differences in the patterns of production and international trade on the business cycle volatility of emerging and developed economies. We study a multi-sector small open economy in which firms produce and trade commodities and manufactures. We estimate the model to match key cross-sectional and time-series differences across countries. Emerging economies run trade surpluses in commodities and trade deficits in manufactures, while sectoral trade flows are balanced in developed economies. We find that these differences amplify the response of emerging economies to commodity price fluctuations. We show evidence consistent with this mechanism using cross-country data.
description: countries. Smallest Geographic Unit: Country