cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5665348
title: Population-based Age-Stratified Seroepidemiological Investigation for Coronavirus 2019 (COVID-19) Infection in Indonesia

description: Results of population-based age stratified seroepidemiological investigation in Indonesia
DOI: 10.5281/zenodo.5665347
title: Population-based Age-Stratified Seroepidemiological Investigation for Coronavirus 2019 (COVID-19) Infection in Indonesia

description: Results of population-based age stratified seroepidemiological investigation in Indonesia
DOI: 10.5517/ccdc.csd.cc24ctkx
title: CCDC 1977569: Experimental Crystal Structure Determination

description: Related Article: M.S.Grigoriev, A.M. Fedoseev, Ph. Moisy |2019|Frumkin Institute of Physical Chemistry and Electrochemistry RAS — 90 years. Collection of papers. M||74|
DOI: 10.5517/ccdc.csd.cc24ctly
title: CCDC 1977570: Experimental Crystal Structure Determination

description: Related Article: M.S.Grigoriev, A.M. Fedoseev, Ph. Moisy |2019|Frumkin Institute of Physical Chemistry and Electrochemistry RAS — 90 years. Collection of papers. M||74|
DOI: 10.5517/ccdc.csd.cc24kk9l
title: CCDC 1983079: Experimental Crystal Structure Determination

description: Related Article: Charlotte Lorton,  Thomas Castanheiro,  Arnaud Voituriez|2019|J.Am.Chem.Soc.|141|10142|doi:10.1021/jacs.9b02539
DOI: 10.3886/e154469
title: Older Adults and Social Engagement During Social Distancing

description: Interviews with Older adults about their social distancing and social connectedness and technology use during COVID-19
description: face-to-face interview; telephone interview;
DOI: 10.3886/e154469v1
title: Older Adults and Social Engagement During Social Distancing

description: Interviews with Older adults about their social distancing and social connectedness and technology use during COVID-19
description: face-to-face interview; telephone interview;
DOI: 10.25810/vhh8-5e24
title: FIRED GHANA
DOI: 10.34943/3561037a-7d29-4d6c-b36b-cfa8d4e20a7b
title: Endeavour North Bottom Pressure Recorder Deployed 2011-09-14

description: The NRCan Bottom Pressure Recorder 8C was deployed on 2011-09-14 at Endeavour North. This north section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Bottom Pressure Recorder. Bottom Pressure Recorders (BPR) are instruments that can detect small changes in pressure on the seafloor. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.5655635
title: Supplemental Data for "Eyewall Asymmetries and Their Contributions to the Intensification of an Idealized Tropical Cyclone Translating in Uniform Flow"

description: The repository contains a set of files required to reproduce the idealized tropical cyclone simulation analyzed in the manuscript entitled "Eyewall asymmetries and their contributions to the intensification of an idealized tropical cyclone translating in uniform flow", submitted to the Journal of the Atmospheric Sciences. See the README file for brief descriptions about the content of each file within this repository. The simulation was produced with the Cloud Model 1 (CM1) version 19.7, and CM1 can be downloaded at https://www2.mmm.ucar.edu/people/bryan/cm1/.
DOI: 10.5281/zenodo.5655634
title: Supplemental Data for "Eyewall Asymmetries and Their Contributions to the Intensification of an Idealized Tropical Cyclone Translating in Uniform Flow"

description: The repository contains a set of files required to reproduce the idealized tropical cyclone simulation analyzed in the manuscript entitled "Eyewall asymmetries and their contributions to the intensification of an idealized tropical cyclone translating in uniform flow", submitted to the Journal of the Atmospheric Sciences. See the README file for brief descriptions about the content of each file within this repository. The simulation was produced with the Cloud Model 1 (CM1) version 19.7, and CM1 can be downloaded at https://www2.mmm.ucar.edu/people/bryan/cm1/.
DOI: 10.6084/m9.figshare.12130980.v118
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: 10.15468/rbeqfj
title: Rediscovery of two species of Croton (Euphorbiaceae) from littoral habitats of eastern Madagascar

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kainulainen, Kent, Berry, Paul E., Ee, Benjamin van (2017): Rediscovery of two species of Croton (Euphorbiaceae) from littoral habitats of eastern Madagascar. Candollea 72 (1): 35-44, DOI: 10.15553/c2017v721a5
DOI: 10.6073/pasta/e427507f5230b5497ed34cc7acf60a48
title: Aboveground biomass at control and fertilized plots in a Spartina patens-dominated marsh, Rowley River, Plum Island Ecosystem LTER, MA.

description: Aboveground biomass is determined destructively during the growing season at a Spartina patens salt marsh on the Rowley River within the Plum Island Ecosystems (PIE) LTER site.
DOI: 10.3886/e125381v1-101422
title: Data and code for: Place-Based Drivers of Mortality: Evidence from Migration

description: We estimate the effect of current location on elderly mortality by analyzing outcomes of movers in the Medicare population. We control for movers' origin locations as well as a rich vector of pre-move health measures. We also develop a novel strategy to adjust for remaining unobservables, using the correlation of residual mortality with movers' origins to gauge the importance of omitted variables. We estimate substantial effects of current location. Moving from a 10th to a 90th percentile location would increase life expectancy at age 65 by 1.1 years, and equalizing location effects would reduce cross-sectional variation in life expectancy by 15 percent. Places with favorable life expectancy effects tend to have higher quality and quantity of health care, less extreme climates, lower crime rates, and higher socioeconomic status.
DOI: 10.25345/c5hv96
title: MassIVE MSV000088373 - Label-Free Quantitative Proteomics to Identify Novel Serum Markers to Characterize Drug-Induced Liver Injury in Tuberculosis
title: In the present study, the proteomics approach identified potential protein signatures with high discriminative ability in TB patients with and without drug-induced liver injury which might play a crucial role in developing Anti-tubercular drug-induced liver injury.
DOI: 10.25810/e8vk-0j13
title: FIRED GUINEA-BISSAU
DOI: 10.6084/m9.figshare.17001513.v1
title: Supplemental Tables from Diversification of plasmids in a genus of pathogenic and nitrogen-fixing bacteria

description: Supplemental tables S1-S2
DOI: 10.6084/m9.figshare.17001513
title: Supplemental Tables from Diversification of plasmids in a genus of pathogenic and nitrogen-fixing bacteria

description: Supplemental tables S1-S2
DOI: 10.5281/zenodo.5683470
title: Dataset for Manuscript "Evaluating Inequalities in Access to Evidence Based Surgical Care: A Systematic Review of Surgical Literature Publication and Consumption Opportunities Across Resource Settings"

description: Dataset for a global access surgical literature systematic review. registered on Propsero (<strong>CRD42021240227) </strong>and titled <strong>Evaluating Inequalities in Access to Evidence Based Surgical Care: A Systematic Review of Surgical Literature Publication and Consumption Opportunities Across Resource Settings</strong>
DOI: 10.5281/zenodo.5683469
title: Dataset for Manuscript "Evaluating Inequalities in Access to Evidence Based Surgical Care: A Systematic Review of Surgical Literature Publication and Consumption Opportunities Across Resource Settings"

description: Dataset for a global access surgical literature systematic review. registered on Propsero (<strong>CRD42021240227) </strong>and titled <strong>Evaluating Inequalities in Access to Evidence Based Surgical Care: A Systematic Review of Surgical Literature Publication and Consumption Opportunities Across Resource Settings</strong>
DOI: 10.25810/asv0-x516
title: FIRED GUINEA
DOI: 10.5281/zenodo.5594639
title: Dataset: Model-based Cognitive Communications for Low-power Wireless Networks

description: Dataset: Model-based Cognitive Communications for Low-power Wireless Networks
DOI: 10.5281/zenodo.5594638
title: Dataset: Model-based Cognitive Communications for Low-power Wireless Networks

description: Dataset: Model-based Cognitive Communications for Low-power Wireless Networks
DOI: 10.25810/k4yw-jw68
title: FIRED IVORY COAST
DOI: 10.15468/2c6cvn
title: Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huys, Rony, Ohtsuka, Susumu, Conroy-Dalton, Sophie, Kikuchi, Yoshiaki (2005): Description of two new species of Neotachidius Shen & Tai, 1963 (Copepoda, Harpacticoida, Tachidiidae) from Korean brackish waters and proposal of a new genus for Tachidius (Tachidius) vicinospinalis Shen & Tai, 1964. Zoological Journal of the Linnean Society 143 (1): 133-159, DOI: 10.1111/j.1096-3642.2004.00148.x, URL: http://dx.doi.org/10.1111/j.1096-3642.2004.00148.x
DOI: 10.13149/lamb-geogpalp
title: Virtual flight over the Palpa geoglyps and geoglyph database

description: From 1999 to 2004, 639 Nasca geoglyphs near Palpa, south Peru, were recorded in the framework of the PhD project of Karsten Lambers. Aided by Martin Sauerbier, he created a database containing detailed descriptions of all geoglyphs and produced a virtual flight over the geoglyphs.
DOI: 10.25810/d81n-6764
title: FIRED LIBERIA
DOI: 10.15468/82jk49
title: Description and phylogenetic position of a new species of Nematanthus (Gesneriaceae) from Bahia, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chautems, Alain, Perret, Mathieu (2017): Description and phylogenetic position of a new species of Nematanthus (Gesneriaceae) from Bahia, Brazil. Candollea 72 (2): 351-359, DOI: 10.15553/c2017v722a13
DOI: 10.18112/openneuro.ds003831.v1.0.0
title: Cognitive Control Theoretic Mechanisms of Real-time fMRI-Guided Neuromodulation (CTM)
DOI: 10.5281/zenodo.5680660
title: Geodetic mass balance of glaciers in the Manaslu region of Nepal 1970 - 2013

description: Dataset of the geodetic mass balance and surface elevation changes for the period 1970-2013 for glaciers in the Manaslu area of the Nepal Himalaya. Mean geodetic mass balances are computed from a 1970 DEM generated from CoronaKH4 imagery and 2013 HMA DEM elevations. Analysis was done at 8m spatial resolution. Data formats: Data are provided in two formats: 1) shapefile format showing the 1970 glacier outlines for 136 glaciers with valid coverage with a GLIMS ID and mean geodetic mass balance attributes, structured as follows: [POINT_X]: Longitude of the glacier polygon centroid [POINT_Y]: Latitude of the glacier polygon centroid [GLIMSID]: ID of each polygon, generated from the lat long coordinates as per GLIMS standard guidelines [src_image]: image source [src_date]: date of the imagery dh_ma-1: surface elevation change [meters per year] bn_m_weq: geodetic mass balance [ m water equivalent per year] err_dh_ma-1: error term for surface elevation change [meters per year] err_bn : error term for the geodetic mass balance [meters water equivalent per year] area_m2: area of each glacier polygon in m2 area_km2: area of each polygon in km2 line_type: types of glacier (clean/debris covered) analysis_yr: year of analysis 2) excel file containing glacier GLIMS ID, mean elevation change and mean mass balance Coordinate system: UTM datum WGS84 zone 45N
DOI: 10.17632/gr3dg36nzx.1
title: Evaluation of the in vitro effects of irisin and leptin on human ovarian granulosa cells – PCR array data (female infertility panel)

description: Human ovarian granulosa cells were purified from follicular fluid samples obtained from patients undergoing in vitro fertilization procedure by using Percoll PLUS reagent (GE Healthcare, Cat. # 17-5445-02). Cells were grown in DMEM/F12 (50:50) medium (Corning, Cat. # 10-092-CM) supplemented with 10% FBS (VWR, Cat. # 89510-186) and antibiotic/antimycotic mixture (MP Biomedicals, Cat. # 1674049). For experiment, 0.3 x 10(6) cells were seeded in 6-well plates and the following day the cell culture medium was replaced with serum-free medium supplemented with 500 ng/ml of irisin (Enzo, Cat. # ADI-908-307-0010) or 50 ng/ml of leptin (BioVision, Cat. # 4366-02) for 24 hours. After completing the experiment, cells were washed two times with PBS (Corning, Cat. # 46-013-CM) and total RNA was extracted using TRIzol reagent (Ambion, 15596018). RNA was quantified using NanoDrop One spectrophotometer (Thermo Fisher Scientific) and samples were normalized to 1 mg/ml concentration, then converted to cDNA using qScript cDNA SuperMix (Quantabio, Cat. # 95048). PCR array was performed using RT2 Profiler PCR Array – Human Female Infertility (Qiagen, Cat. # 330231, GeneGlobe ID PAHS-164Z) and QuantStudio 3 Real-Time PCR System (Thermo Fisher Scientific) following manufacturer’s protocol. PCR array data were calculated using GeneGlobe Data Analysis Center (https://geneglobe.qiagen.com/us/analyze).
DOI: 10.17632/9vvdjztctb.2
title: Phylogenomics resolves ambiguous relationships within Aciculata (Errantia, Annelida)

description: Dataset used to reconstruct the phylogenetic relationships among Aciculata (Annelida). The datasets comprise transcriptomic matrices, species trees (ASTRAL and concatenated supermatrix) and gene trees used for data exploration.
DOI: 10.5517/ccdc.csd.cc252h5y
title: CCDC 1998389: Experimental Crystal Structure Determination

description: Related Article: Amr El-Demerdash, Ludmila Ermolenko, Emmanuelle Gros, Pascal Retailleau, Binh Nguyen Thanh, Anne Gauvin-Bialecki, Ali Al-Mourabit|2020|Eur.J.Org.Chem.|2020|5677|doi:10.1002/ejoc.202000744
DOI: 10.5519/qd.vn9f1o9c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (395 records)
DOI: 10.6084/m9.figshare.17000704
title: Total surface shortwave flux distributions 1901-2017 in support of carbon cycle modelling.

description: This dataset offers 6-hourly distributions of the total downward shortwave flux over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric and stratospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth.<br><br>The time series of stratospheric aerosol optical depth is taken from the climatology by Sato et al. (doi:10.1029/93JD02553, 1993), which has been updated to 2012. Years 2013-2017 are assumed to be background years so replicate background year 2010. That assumption is supported by the Global Space-based Stratospheric Aerosol Climatology time series (1979-2016; Thomason et al., doi:10.5194/essd-10-469-2018, 2018).<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere.<br>
DOI: 10.6084/m9.figshare.17000704.v2
title: Total surface shortwave flux distributions 1901-2017 in support of carbon cycle modelling.

description: This dataset offers 6-hourly distributions of the total downward shortwave flux over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric and stratospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth.<br><br>The time series of stratospheric aerosol optical depth is taken from the climatology by Sato et al. (doi:10.1029/93JD02553, 1993), which has been updated to 2012. Years 2013-2017 are assumed to be background years so replicate background year 2010. That assumption is supported by the Global Space-based Stratospheric Aerosol Climatology time series (1979-2016; Thomason et al., doi:10.5194/essd-10-469-2018, 2018).<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere.<br>
DOI: 10.6084/m9.figshare.17000704.v1
title: Total surface shortwave flux distributions 1901-2017 in support of carbon cycle modelling.

description: This dataset offers 6-hourly distributions of the total downward shortwave flux over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric and stratospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth.<br><br>The time series of stratospheric aerosol optical depth is taken from the climatology by Sato et al. (doi:10.1029/93JD02553, 1993), which has been updated to 2012. Years 2013-2017 are assumed to be background years so replicate background year 2010. That assumption is supported by the Global Space-based Stratospheric Aerosol Climatology time series (1979-2016; Thomason et al., doi:10.5194/essd-10-469-2018, 2018).<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere.<br>