cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24268348
title: Mapping Two Decades of Research Productivity in the Middle Eastern and Arab Countries: A Comprehensive Bibliometric Analysis

description: Mapping Two Decades of Research Productivity in the Middle Eastern and Arab Countries: A Comprehensive Bibliometric Analysis
DOI: 10.34740/kaggle/dsv/6636655
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.8418187
title: miwieg/euphemistic_abuse: Release

description: No description provided.
DOI: 10.5281/zenodo.8418186
title: miwieg/euphemistic_abuse: Release

description: No description provided.
DOI: 10.5281/zenodo.8010584
title: The dispersal capacity of Mollusca - a test on the South Azorean Seamount Chain - supplementary material

description: This study investigates the molluscan fauna of the South Azorean seamount chain (SASC), which comprises several seamounts culminating in 300-1600 m depth, separated by distances less than 200 km. Material was collected mainly by dredging and comprises mostly empty shells. A total of over 111 000 shells representing at least 439 species (409 identified) was collected. Larval development was inferred from protoconch morphology and the assemblage comprises species with planktotrophic larvae, with non-feeding planktonic larva and with lecithotrophic larvae with direct development. The direct developers are more prevalent among species endemic to the SASC in the upper bathyal part (300-800 m) of the seamounts, whereas most planktotrophic species are shared with the Lusitanian seamounts and/or the European mainland. Nevertheless, there are notable exceptions to this trend, where species with non-planktotrophic larvae are also widespread, and a large proportion of the species with non-feeding planktonic larvae are shared with Eastern and/or Western Atlantic. Level of endemism of Mollusca is high within the SASC (22.5% overall, 35.8% considering only the interval &lt; 800 m) and even higher (32.6% overall) when considering together the SASC and the Azores. The generic composition and large set of overlapping fauna suggests a strong relation to the temperate Eastern Atlantic, whereas only 19% of the species are shared with the Western Atlantic. The occurrences of the species in each sampling location are detailed in supplementary Table S1, the list of species with their attributes is given in Table S2, and the list of species with their score in other areas of the Atlantic Ocean Table S3.
DOI: 10.5281/zenodo.8010583
title: The dispersal capacity of Mollusca - a test on the South Azorean Seamount Chain - supplementary material

description: This study investigates the molluscan fauna of the South Azorean seamount chain (SASC), which comprises several seamounts culminating in 300-1600 m depth, separated by distances less than 200 km. Material was collected mainly by dredging and comprises mostly empty shells. A total of over 111 000 shells representing at least 439 species (409 identified) was collected. Larval development was inferred from protoconch morphology and the assemblage comprises species with planktotrophic larvae, with non-feeding planktonic larva and with lecithotrophic larvae with direct development. The direct developers are more prevalent among species endemic to the SASC in the upper bathyal part (300-800 m) of the seamounts, whereas most planktotrophic species are shared with the Lusitanian seamounts and/or the European mainland. Nevertheless, there are notable exceptions to this trend, where species with non-planktotrophic larvae are also widespread, and a large proportion of the species with non-feeding planktonic larvae are shared with Eastern and/or Western Atlantic. Level of endemism of Mollusca is high within the SASC (22.5% overall, 35.8% considering only the interval &lt; 800 m) and even higher (32.6% overall) when considering together the SASC and the Azores. The generic composition and large set of overlapping fauna suggests a strong relation to the temperate Eastern Atlantic, whereas only 19% of the species are shared with the Western Atlantic. The occurrences of the species in each sampling location are detailed in supplementary Table S1, the list of species with their attributes is given in Table S2, and the list of species with their score in other areas of the Atlantic Ocean Table S3.
DOI: 10.3886/e133501v1-142141
title: Data and Code for: Teenage Driving, Mortality, and Risky Behaviors

description: This is data and code for the manuscript, "Teenage Driving, Mortality, and Risky Behaviors."<br><br>Abstract: We investigate the effect of teenage driving on mortality and risky behaviors in the United States using a regression discontinuity design. We estimate that total mortality rises by 5.84 deaths per 100,000 (15%) at the minimum legal driving age cutoff, driven by an increase in motor vehicle fatalities of 4.92 deaths per 100,000 (44%). We also find that poisoning deaths, which are caused primarily by drug overdoses, rise by 0.31 deaths per 100,000 (29%) at the cutoff and that this effect is concentrated among females. Our findings show that teenage driving contributes to sex differences in risky drug use behaviors.
DOI: 10.3886/icpsr06688.v1
title: Health and Ways of Living Study, 1965 Panel: [Alameda County, California]
title: Version 1

description: The purpose of this survey was to explore the influence of health practices and social relationships on the physical and mental health of a typical sample of the population in Alameda County, California. The information obtained for the 6,928 respondents (including approximately 500 women aged 65 years and older) covers chronic health conditions, health behaviors, social involvements, and psychological characteristics. Questions were asked about marital and life satisfaction, parenting, physical activities, employment, and childhood experiences. Demographic variables include data on respondetns' age, race, height, weight, education, income, and religion.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Checked for undocumented or out-of-range codes..
description: Response Rates: 6,928 individuals from a sample of 8,074 responded to the mailed questionnaire.
description: Datasets: 
 
 DS1: Dataset
description: face-to-face interview, mail questionnaire 
See the codebook for an extensive listing of publications related to this study as provided by the Human Population Laboratory at the California Department of Health Services.
description: Households in Alameda County, California. Smallest Geographic Unit: county
description: Stratified random sample of Alameda County households with noninstitutionalized residents aged 21 and older, or aged 16-21 if married.
DOI: 10.17632/hbr5pwk5w5.1
title: Optical Coherence Tomography (OCT) Images of Proliferative Vitreoretinopathy, Uveitis, and Normal Eyes

description: OCT Images of Proliferative Vitreoretinopathy, Uveitis, and Normal Eyes
DOI: 10.25911/5cf751c17b3d4
title: AusMoho data points

description: The full set of estimates for the depth to Moho derived from a variety of techniques including:
seismic refraction
seismic reflection
receiver function methods
autocorrelation studies
description: The full set of estimates for the depth to Moho derived from a variety of techniques including:
seismic refraction
seismic reflection
receiver function methods
autocorrelation studies

collected from a wide variety of studies
DOI: 10.5281/zenodo.7664032
title: The updated check-list of alien plant species in the Republic of Mordovia, European Russia

description: Этот набор данных, “ОБНОВЛЕННЫЙ СПИСОК ЧУЖЕРОДНЫХ ВИДОВ РАСТЕНИЙ РЕСПУБЛИКИ МОРДОВИЯ (ЕВРОПЕЙСКАЯ РОССИЯ)”, включает актуальные на 01 февраля 2023 г. сведения о составе чужеродной флоры Республики Мордовия (Европейская Россия). Набор данных содержит информацию о 456 видах чужеродной флоры, относящихся к 271 роду и 70 семействам. Списки чужеродной флоры Республики Мордовия и каждого муниципального района представлены на отдельных листах файлов *XLSX на русском языке [Dataset(alien plants_Mordovia)RUS.xlsx]. Для каждого вида приведены латинское название вида и семейства согласно публикации Силаевой и др. (2010) и латинское название таксона, согласно POWO (2023). Приведены сведения о распределении каждого вида в районах Республики Мордовия, а также группы по времени интродукции, способу интродукции, степени натурализации. ----------------------- This dataset, “THE UPDATED CHECK-LIST OF ALIEN PLANT SPECIES IN THE REPUBLIC OF MORDOVIA, EUROPEAN RUSSIA”, includes information on the composition of the alien flora of the Republic of Mordovia (European Russia) relevant by 01 February 2023. The dataset contains information on 456 alien plant species belonging to 271 genera and 70 families. Lists of alien flora of both Republic of Mordovia and each municipal district are presented on separate sheets of *XLSX files in Russian [Dataset(alien plants_Mordovia)RUS.xlsx]. For each species, the Latin name of the species and family is given according to Silaeva et al. (2010) and the Latin name of each taxon according to POWO (2023). The dataset provides information about the distribution of each species in districts of the Republic of Mordovia, as well as groups according to the time of introduction, the way of introduction, and the level of naturalisation.
DOI: 10.6084/m9.figshare.1365473.v5
title: Personality and aerobic capacity mediate physiological defense responses in a benthic fish

description: Please refer to ReadMe files and associated manuscript.
DOI: 10.6084/m9.figshare.22632715.v1
title: Characteristics of Proliferative Vitreoretinopathy, Uveitis, and Normal Eyes

description: Characteristics of Proliferative Vitreoretinopathy, Uveitis, and Normal Eyes Data
DOI: 10.5281/zenodo.7632737
title: Intercomparison of atmospheric Carbonyl Sulfide (TransCom-COS; Parts one & two):

description: Atmospheric concentrations of COS simulated by the ATMs (TM5, NICAM5, NICAM6, LMDz, TM3, TOMCAT) used in the Transcom-COS experiment. Zhumker: Anthropogenic component BB: Biomass burning component VEG-SIB4: Vegetation component given by the SIB4 terrestrial model SOIL-SIB4: Soil component given by the ORCHIDEE terrestrial model VEG-ORC: Vegetation component given by the ORCHIDEE terrestrial model SOIL-ORC: Soil component given by the SIB4 terrestrial model OCEAN_Lennartz : Oceanic fluxes with the indirect fluxes through DMS from Lennartz et al. (2017) OCEAN_LennartzPICSES: Oceanic fluxes with the indirect fluxes through DMS from the ocean model NEMO PISCES OPT_JM= Optimized COS fluxes described in Ma et al. (2021) OPT_LSCE= Optimized COS fluxes described in Remaud et al. (2022) Month: Monthly resolution Diurnal: 3 hourly resolution
DOI: 10.5281/zenodo.8008474
title: A modern pollen dataset from lake surface sediments on the central-western Tibetan Plateau

description: This is a modern pollen dataset on the central and western Tibetan Plateaubased on lake surface sediments of 90 lakes. The dataset includes pollen counts and pollen percentages for each lake sediment sample together with their locations (latitude, longitude and altitude) and climatic data.
DOI: 10.5281/zenodo.7773156
title: Data for Accident Severity Prediction Modelling for Indian Highways Case Study

description: Accident Data: Road accidents data is of Indian Highways sections Pune-Solapur and Bengal (BAEL) Section. For the Pune-Solapur Section of NH-9, which is located between Km.144/400 and Km. 249/000 in the state of Maharashtra, accident dates from 2013 to 2018. For the Six-Laning of Barwa-Adda-Panagarh Section of NH-2, which includes Panagarh Bypass and is located in the States of Jharkhand and West Bengal Stretch, accident dates from 2015 to 2019 for the stretch between km 398.240 and km 521.120. The data is sorted and analyzed using Random Forest Machine Learning for Accident Severity Prediction Modelling. Acknowledgement: We highly acknowledge the two organizations 1. National Highways Authority of India, 2. IL&FS Engineering and Construction Company for making the raw data available. Source: 1. National Highways Authority of India, 2. IL&FS Engineering and Construction Company.
DOI: 10.17632/bf5d3hn32z.1
title: Data corresponding to "Auxin production in the green alga Chlamydomonas involves an extracellular L- amino acid oxidase and supports algal-bacterial mutualism with methylobacteria" by Calatrava et al. (2022)

description: Data corresponding to "Auxin production in the green alga Chlamydomonas involves an extracellular L- amino acid oxidase and supports algal-bacterial mutualism with methylobacteria" by Calatrava et al. (2022)
DOI: 10.17632/fgfjpn86bb.1
title: Data for: Environment and host genetics influence the biogeography of plant microbiome structure

description: We collected Lemna and associated microbiomes from 34 populations in the northern and southern range of its distribution in the United States (Fig. 1a and Table S1): Ohio (OH, Cleveland, N = 8; Columbus, N = 5), New Hampshire (NH, N = 2), Massachusetts (MA, N = 2), Rhode Island (RI, N = 2), Louisiana (LA, N = 7), Georgia (GA, N = 4), and South Carolina (SC, N = 4). The field sampling was conducted during the fast-growing season of duckweeds during June–August 2022. In addition, we collected samples from the same two Massachusetts populations during the late growing season in October 2022 to confirm the negligible influence of temporal dynamics on duckweed microbiomes, relative to the other factors we investigated in this study. We also measured the pH, conductivity (EC), and total dissolved solids (TDS) of the aquatic environment at each population using an Ohaus ST20M-B meter (Ohaus Corporation, Parsippany, New Jersey). Additionally, we collected 100 mL surface water in sterile centrifuge tubes and sent to the Wetland Biochemistry Analytical Services at Louisiana State University for additional water chemistry analysis (total organic carbon, TOC; total nitrogen, TN; total phosphorus, TP; major and trace elements including Na, Ca, Mg, Fe, Si, Cu, Zn, Mn, Pb, Cd; Table S1). Duckweed microbiome DNA was sent to the Argonne National Laboratory for bacterial library preparation (16S rRNA V5–V6 region, 799f–1115r primer pair: AACMGGATTAGATACCCKG, AGGGTTGCGCTCGTTG) and sequencing using Illumina MiSeq (paired-end 250 bp). The PE reads were used for detecting bacterial amplicon sequence variants (ASVs) using the package DADA2 v1.20.0 in R v4.1.0. The PE reads were trimmed and quality filtered [truncLen = c(240, 230), trimLeft=c(10, 0), maxN = 0, truncQ = 2, maxEE = c(2,2)] and then used for unique sequence identification that took into account sequence errors. The PE reads were then end joined (minOverlap = 20, maxMismatch = 4) for ASV detection and chimera removal. The ASVs were assigned with taxonomic identification based on the SILVA reference database (132 release NR 99) implemented in DADA2. The ASVs were further filtered before conversion into a bacterial community matrix using the package phyloseq. First, we removed non-focal ASVs (Archaea, chloroplasts, and mitochondria). Second, we conducted rarefaction analysis using the package iNEXT to confirm that the sequencing effort was sufficient to capture duckweed bacterial richness (Fig. S1). We further normalized per-sample reads (median = 20,192 reads) by rarefying to 10,000 reads. Three populations that had fewer reads (one from OH: 9787 reads; two from GA: 5775 and 9484 reads, respectively) but plateaued in the rarefaction analysis were normalized to 10,000 reads. Lastly, we removed low-frequency ASVs (&lt;0.001% of total observations). The final bacterial community matrix consisted of 4880 ASVs across the 36 samples from 34 different populations and was used for all downstream analyses.
DOI: 10.6084/m9.figshare.24268402
title: Preguntas transform

description: Instrumento de evaluación
DOI: 10.6084/m9.figshare.24268402.v1
title: Preguntas transform

description: Instrumento de evaluación
DOI: 10.5281/zenodo.8418294
title: Projekto Diverse duomenų bazė

description: Duomenų rinkinyje pateikiami LMT reikminių tyrimų projekto Diverse išeities duomenys.<br> Finansavimą skyrė Lietuvos mokslo taryba (LMTLT), sutarties Nr. S-REP-22-4.
description: Duomenų rinkinį sudaro: * Comext/metiniai_duomenys - kasmetiniai ES tarptautinės prekybos duomenys už 2015-2022. Duomenų šaltinis Eurostat Comext duomenų bazė. * FIGARO - 2015-2020 sąnaudų-produkcijos lentelės. Duomenų šaltinis - Eurostat FIGARO duomenų bazė. * filtruoti - 2015-2022 Lietuvos tarptautinės prekybos duomenys. Duomenų šaltinis - Eurostat Comext duomenų bazė. Duomenų rinkinys modifikuotas išfiltruojant Lietuvos duomenis. * PRODCOM - duomenys apie Europos Sąjungos šalyse parduotą, importuotą ir eksportuotą produkciją. Eurostat duomenų pakartotinis panaudojimas galimas tik laikantis nuostatų: https://commission.europa.eu/legal-notice_en , https://ec.europa.eu/eurostat/about-us/policies/copyright
DOI: 10.5281/zenodo.8418293
title: Projekto Diverse duomenų bazė

description: Duomenų rinkinyje pateikiami LMT reikminių tyrimų projekto Diverse išeities duomenys.<br> Finansavimą skyrė Lietuvos mokslo taryba (LMTLT), sutarties Nr. S-REP-22-4.
description: Duomenų rinkinį sudaro: * Comext/metiniai_duomenys - kasmetiniai ES tarptautinės prekybos duomenys už 2015-2022. Duomenų šaltinis Eurostat Comext duomenų bazė. * FIGARO - 2015-2020 sąnaudų-produkcijos lentelės. Duomenų šaltinis - Eurostat FIGARO duomenų bazė. * filtruoti - 2015-2022 Lietuvos tarptautinės prekybos duomenys. Duomenų šaltinis - Eurostat Comext duomenų bazė. Duomenų rinkinys modifikuotas išfiltruojant Lietuvos duomenis. * PRODCOM - duomenys apie Europos Sąjungos šalyse parduotą, importuotą ir eksportuotą produkciją. Eurostat duomenų pakartotinis panaudojimas galimas tik laikantis nuostatų: https://commission.europa.eu/legal-notice_en , https://ec.europa.eu/eurostat/about-us/policies/copyright
DOI: 10.5281/zenodo.8380153
title: Monthly runoff and evapotranspiration data at a 0.25-degree for the headwater of seven river basins in the Tibetan Plateau (2001-2100)

description: This data set describes the temporal and spatial distribution of runoff and evapotranspiration for the headwater of seven river basins in the Tibetan Plateau under SSP245 and SSP585 scenarios. We utilized an LSTM-grid model trained with inputs from an observation-constrained distributed cryosphere-hydrology model (WEB-DHM), along with meteorological data from ISIMIP3b (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKESM1-0-LL) and glacier mass balance data (NSIDC) to generate the runoff and evapotranspiration data. The time range is 2001-2100 at a monthly scale, the spatial resolution is 0.25-degree, and the unit is mm/month. The data will provide better data support for the study of the major river in the Tibetan Plateau. For the convenience of users, this data is stored in NC (NetCDF) format, with each combination of different variables (runoff, evapotranspiration) and climate scenarios (SSP245 and SSP585) forming a separate file. The file names are in the format of “runoff(evapotranspiration)_SSP245(SSP585)_2001-2100.nc”, where “2001-2100” represents the years covered by the data. Each file contains three coordinates: lon (longitude), lat (latitude), and time, as well as a data variable (either runoff or evapotranspiration). These files can be opened with Python, MATLAB, and other tools.
DOI: 10.5281/zenodo.8418278
title: Monthly runoff and evapotranspiration data at a 0.25-degree for the headwater of seven river basins in the Tibetan Plateau (2018-2100)

description: This data set describes the temporal and spatial distribution of runoff and evapotranspiration for the headwater of seven river basins in the Tibetan Plateau under SSP245 and SSP585 scenarios. We utilized an LSTM-grid model trained with inputs from an observation-constrained distributed cryosphere-hydrology model (WEB-DHM), along with meteorological data from ISIMIP3b (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKESM1-0-LL) and glacier mass balance data (NSIDC) to generate the runoff and evapotranspiration data. The time range is 2018-2100 at a monthly scale, the spatial resolution is 0.25-degree, and the unit is mm/month. The data will provide better data support for the study of the major river in the Tibetan Plateau. For the convenience of users, this data is stored in NC (NetCDF) format, with each combination of different variables (runoff, evapotranspiration) and climate scenarios (SSP245 and SSP585) forming a separate file. The file names are in the format of “runoff(evapotranspiration)_SSP245(SSP585)_2018-2100.nc”, where “2018-2100” represents the years covered by the data. Each file contains three coordinates: lon (longitude), lat (latitude), and time, as well as a data variable (either runoff or evapotranspiration). These files can be opened with Python, MATLAB, and other tools.
DOI: 10.5281/zenodo.8380152
title: Monthly runoff and evapotranspiration data at a 0.25-degree for the headwater of seven river basins in the Tibetan Plateau (2018-2100)

description: This data set describes the temporal and spatial distribution of runoff and evapotranspiration for the headwater of seven river basins in the Tibetan Plateau under SSP245 and SSP585 scenarios. We utilized an LSTM-grid model trained with inputs from an observation-constrained distributed cryosphere-hydrology model (WEB-DHM), along with meteorological data from ISIMIP3b (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKESM1-0-LL) and glacier mass balance data (NSIDC) to generate the runoff and evapotranspiration data. The time range is 2018-2100 at a monthly scale, the spatial resolution is 0.25-degree, and the unit is mm/month. The data will provide better data support for the study of the major river in the Tibetan Plateau. For the convenience of users, this data is stored in NC (NetCDF) format, with each combination of different variables (runoff, evapotranspiration) and climate scenarios (SSP245 and SSP585) forming a separate file. The file names are in the format of “runoff(evapotranspiration)_SSP245(SSP585)_2018-2100.nc”, where “2018-2100” represents the years covered by the data. Each file contains three coordinates: lon (longitude), lat (latitude), and time, as well as a data variable (either runoff or evapotranspiration). These files can be opened with Python, MATLAB, and other tools.
DOI: 10.57841/casdc.0002608
title: 光学智能引擎人工智能大数据训练库
DOI: 10.5281/zenodo.8418386
title: Sobronite Rocktober 09-10-2023

description: Sobronite Rocktober 09-10-2023
DOI: 10.5281/zenodo.8418385
title: Sobronite Rocktober 09-10-2023

description: Sobronite Rocktober 09-10-2023
DOI: 10.6084/m9.figshare.24268510
title: SLWise Data

description: Data for SLWise model training/evaluation
DOI: 10.34740/kaggle/dsv/6637469
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.24268534
title: Facial asymmetry analysis.xlsx

description: Facial asymmetry analysis data base for patients with posterior crossbite
DOI: 10.6084/m9.figshare.24268534.v1
title: Facial asymmetry analysis.xlsx

description: Facial asymmetry analysis data base for patients with posterior crossbite