cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3900211
title: Computer Aided Design (CAD) files for capillaric circuit with 4 retention burst valves

description: AutoCAD design file and STL file for capillaric circuit with 4 retention burst valves.
DOI: 10.5281/zenodo.3900210
title: Computer Aided Design (CAD) files for capillaric circuit with 4 retention burst valves

description: AutoCAD design file and STL file for capillaric circuit with 4 retention burst valves.
DOI: 10.5281/zenodo.3829100
title: Tsunami Efficiency due to Very Slow Earthquakes

description: Data sets of run-ups ds01 Data set for calculated law for Tsunami Efficiency Tsunami Efficiency for different types of rupture
DOI: 10.5281/zenodo.3829099
title: Tsunami Efficiency due to Very Slow Earthquakes

description: Data sets of run-ups ds01 Data set for calculated law for Tsunami Efficiency Tsunami Efficiency for different types of rupture
DOI: 10.5281/zenodo.3554861
title: Estimation of Depth to Bottom of Magnetic Sources using Spectral Methods: Application on Iran's Aeromagnetic Data

description: Aeromagnetic grid of Iran Tilte: Estimation of Depth to Bottom of Magnetic Sources using Spectral Methods: Application on Iran’s Aeromagnetic Data. Authors: Raj Kumar, Abhey Ram Bansal, Abdolreza Ghods Journal: Journal of Geophysical Research: Solid Earth
DOI: 10.5281/zenodo.3554860
title: Estimation of Depth to Bottom of Magnetic Sources using Spectral Methods: Application on Iran's Aeromagnetic Data

description: Aeromagnetic grid of Iran Tilte: Estimation of Depth to Bottom of Magnetic Sources using Spectral Methods: Application on Iran’s Aeromagnetic Data. Authors: Raj Kumar, Abhey Ram Bansal, Abdolreza Ghods Journal: Journal of Geophysical Research: Solid Earth
DOI: 10.7910/dvn/f78iji/glm1wb
title: pisani_et_al_consolidated_data.xlsx

description: Data in support of revised manuscript: COVID-19 amplifies threats to medicine quality; submitted for consideration to the British Medical Journal, 18/06/2020
DOI: 10.5281/zenodo.3900225
title: Tidal gauge dataset, Inhambane deck (Mozambique)

description: This is the data set of the tidal gauge instaled on Inhambane deck (Mozambique) This data is reported in the manuscript: Solana G.; Grifoll, M.; and Espino, M; 2020. Hydrographic variability and estuarine classification of Inhambane Bay (Mozambique) In: Malvárez, G. and Navas, F. (eds.), Proceedings from the International Coastal Symposium (ICS) 2020 (Seville, Spain). Journal of Coastal Research, Special Issue No. 95, pp. 50-54. Coconut Creek (Florida), ISSN 0749-0208. DOI: 10.2112/SI95-126.1 The instrument used was a Arduino + MB7052 XL-MaxSonar METADATA File is in csv format. Time is given in UTM format. Period: 2017/07/29 12:08:10 to 2017/08/06 10:05:43 Data headers: Year/Month/Day, Hour:Min:Seconds, Dist(m) 2017/07/29, 12:08:10, 2.63
description: The field campaign was funded by the Catalan Agency for Development Cooperation (ACCD) and the UPC-CCD. The authors are grateful to ECOSISTEMA-BC (CTM2017-84275-R) project. The authors are grateful to the Direção Provincial de Saúde (DPS), Administração Maritima (ADMAR) of Inhambane and ASFES for their administrative and logistical support, to Joan Puigdefàbregas, and INNOVA for all the help on the field campaigns and with the equipment development.
DOI: 10.5281/zenodo.3900224
title: Tidal gauge dataset, Inhambane deck (Mozambique)

description: This is the data set of the tidal gauge instaled on Inhambane deck (Mozambique) This data is reported in the manuscript: Solana G.; Grifoll, M.; and Espino, M; 2020. Hydrographic variability and estuarine classification of Inhambane Bay (Mozambique) In: Malvárez, G. and Navas, F. (eds.), Proceedings from the International Coastal Symposium (ICS) 2020 (Seville, Spain). Journal of Coastal Research, Special Issue No. 95, pp. 50-54. Coconut Creek (Florida), ISSN 0749-0208. DOI: 10.2112/SI95-126.1 The instrument used was a Arduino + MB7052 XL-MaxSonar METADATA File is in csv format. Time is given in UTM format. Period: 2017/07/29 12:08:10 to 2017/08/06 10:05:43 Data headers: Year/Month/Day, Hour:Min:Seconds, Dist(m) 2017/07/29, 12:08:10, 2.63
description: The field campaign was funded by the Catalan Agency for Development Cooperation (ACCD) and the UPC-CCD. The authors are grateful to ECOSISTEMA-BC (CTM2017-84275-R) project. The authors are grateful to the Direção Provincial de Saúde (DPS), Administração Maritima (ADMAR) of Inhambane and ASFES for their administrative and logistical support, to Joan Puigdefàbregas, and INNOVA for all the help on the field campaigns and with the equipment development.
DOI: 10.5519/qd.so8qz3ra
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.13140/rg.2.2.36618.29128
title: Habitats in transact 20200616_012
DOI: 10.5281/zenodo.3900266
title: A Satellite-Detected Terrestrial Gamma-ray Flash Produced by a Cloud-to-Ground Lightning Leader

description: The data supports the manuscript entitled “A Satellite-Detected Terrestrial Gamma-ray Flash Produced by a Cloud-to-Ground Lightning Leader” that is submitted to GRL. These files can be opened by MATLAB. The data can be used freely for scientific purposes with appropriate citation.
DOI: 10.5281/zenodo.3900265
title: A Satellite-Detected Terrestrial Gamma-ray Flash Produced by a Cloud-to-Ground Lightning Leader

description: The data supports the manuscript entitled “A Satellite-Detected Terrestrial Gamma-ray Flash Produced by a Cloud-to-Ground Lightning Leader” that is submitted to GRL. These files can be opened by MATLAB. The data can be used freely for scientific purposes with appropriate citation.
DOI: 10.5281/zenodo.3900328
title: All Luminosity Templates Associated with "Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates"

description: Zip files for the luminosity normalized individual stellar templates, and all combinations of SB2 templates. The templates are in fits format. The first table extension contains the template (wavelength, luminosity, variance, error). These luminosity templates have units of erg /s /angstrom.
DOI: 10.5281/zenodo.3871958
title: All Luminosity Templates Associated with "Classifying Single Stars and Spectroscopic Binaries Using Optical Stellar Templates"

description: Zip files for the luminosity normalized individual stellar templates, and all combinations of SB2 templates. The templates are in fits format. The first table extension contains the template (wavelength, luminosity, variance, error). These luminosity templates have units of erg /s /angstrom.
DOI: 10.18112/openneuro.ds002900.v1.0.0
title: Spinal Cord MRI Public Database (Single-subject)
DOI: 10.5281/zenodo.3900317
title: Data for The Facets of Women Commodification: Violence in the University Context in Administration

description: The script of research was organized to contribute on four dimensions: (a) the trajectory of the student in the institution, (b) his role and activity in different student groups, (c) his critical position with regard to these groups, and (d) the situations of objectification and commodification experienced or witnessed by the students. <br> The table illustrates some questions asked to the interviewees and the answers obtained in the interview process with university, in order to share in more detail how the in-depth interviews were conducted. The data are in the original language in which they were registered.
DOI: 10.5281/zenodo.3900316
title: Data for The Facets of Women Commodification: Violence in the University Context in Administration

description: The script of research was organized to contribute on four dimensions: (a) the trajectory of the student in the institution, (b) his role and activity in different student groups, (c) his critical position with regard to these groups, and (d) the situations of objectification and commodification experienced or witnessed by the students. <br> The table illustrates some questions asked to the interviewees and the answers obtained in the interview process with university, in order to share in more detail how the in-depth interviews were conducted. The data are in the original language in which they were registered.
DOI: 10.21227/pc7k-hz51
title: Joint localization of Controller and Hypervisor

description: The demo data set consists the propagation path distances of AT & T North America Netowork Topology. The geographical node positions (latitude and longitude) along with the adjacency matrix has been found out from International Topology Zoo and the data set has been formed using the available data. This set has been used in Joint localization prolem of Controller and Hypervisor instances in vSDN enebled 5G Network.
DOI: 10.21227/f258-jm54
title: Joint localization of Controller and Hypervisor

description: The demo data set consists the propagation path distances of AT & T North America Netowork Topology. The geographical node positions (latitude and longitude) along with the adjacency matrix has been found out from International Topology Zoo and the data set has been formed using the available data. This set has been used in Joint localization prolem of Controller and Hypervisor instances in vSDN enebled 5G Network.
DOI: 10.5281/zenodo.3555556
title: An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain

description: Fischer 344 MRI atlas as described in Scientific Reports https://www.nature.com/articles/s41598-020-63965-x ---------------------------version 2 changes--------------------------- -comprehensively modified label definitions for increased accuracy of segmentation
DOI: 10.5281/zenodo.3532064
title: COOS-7 (Cells Out Of Sample 7-Class)

description: This repository contains the version 1.0 of the COOS-7 dataset (to be presented as a poster at NeurIPS 2019; see preprint at https://arxiv.org/abs/1906.07282). COOS-7 contains 132,209 crops of mouse cells, stratified into a training dataset, and four test datasets representing increasing degrees of covariate shift from the training dataset. In the classification task associated with COOS-7, the aim is to build a classifier robust to covariate shifts typically seen in microscopy. Methods developers must train and optimize machine learning models using the training dataset exclusively, and evaluate performance on each of the four test datasets. <strong>Each HDF5 file contains two main dictionaries:</strong><br> 'data' - contains all of the images in a four-dimensional array (images, channels, height, width)<br> 'labels' - contains the labels for each image, in the same order as the images in 'data' <strong>New in this version (1.1) - we have added four additional dictionaries containing metadata:</strong><br> 'plateIDs' - string indicating the plate the image originated from<br> 'wellIDs' - string indicating the well the image originated from (first three numbers indicate row on plate, second three numbers indicate column on plate)<br> 'dateIDs' - string indicating date the image was taken on (YYYYMMDD)<br> 'microscopeIDs' - string indicating which microscope the image was taken on <strong>The value for labels indicates the class of the image, which can be one of seven values:</strong><br> 0 - Endoplasmic Reticulum (ER)<br> 1 - Inner Mitochondrial Membrane (IMM)<br> 2 - Golgi<br> 3 - Peroxisomes<br> 4 - Early Endosome<br> 5 - Cytosol<br> 6 - Nuclear Envelope The h5py package is required to read these files with Python. We provide a Python script, unpackage_COOS.py, that will automatically save the archives as directories of tiff files, organized by class. The two channels for each image will be saved as separate images, with a suffix of "_protein.tif" and "_nucleus.tif", respectively. <strong>To run the unpackaging script, issue the command line argument:</strong><br> python unpackage_COOS.py [path of HDF5 file] [path of directory to save images to]<br> e.g. python unpackage_COOS.py ./COOS7_v1.0_training.hdf5 ./COOS7_v1.0_training_images/ <strong>Full information about the test sets and the images can be found at https://arxiv.org/abs/1906.07282.</strong>
DOI: 10.5281/zenodo.3355598
title: COOS-7 (Cells Out Of Sample 7-Class)

description: This repository contains the version 1.0 of the COOS-7 dataset (to be presented as a poster at NeurIPS 2019; see preprint at https://arxiv.org/abs/1906.07282). COOS-7 contains 132,209 crops of mouse cells, stratified into a training dataset, and four test datasets representing increasing degrees of covariate shift from the training dataset. In the classification task associated with COOS-7, the aim is to build a classifier robust to covariate shifts typically seen in microscopy. Methods developers must train and optimize machine learning models using the training dataset exclusively, and evaluate performance on each of the four test datasets. <strong>Each HDF5 file contains two main dictionaries:</strong><br> 'data' - contains all of the images in a four-dimensional array (images, channels, height, width)<br> 'labels' - contains the labels for each image, in the same order as the images in 'data' <strong>New in this version (1.1) - we have added four additional dictionaries containing metadata:</strong><br> 'plateIDs' - string indicating the plate the image originated from<br> 'wellIDs' - string indicating the well the image originated from (first three numbers indicate row on plate, second three numbers indicate column on plate)<br> 'dateIDs' - string indicating date the image was taken on (YYYYMMDD)<br> 'microscopeIDs' - string indicating which microscope the image was taken on <strong>The value for labels indicates the class of the image, which can be one of seven values:</strong><br> 0 - Endoplasmic Reticulum (ER)<br> 1 - Inner Mitochondrial Membrane (IMM)<br> 2 - Golgi<br> 3 - Peroxisomes<br> 4 - Early Endosome<br> 5 - Cytosol<br> 6 - Nuclear Envelope The h5py package is required to read these files with Python. We provide a Python script, unpackage_COOS.py, that will automatically save the archives as directories of tiff files, organized by class. The two channels for each image will be saved as separate images, with a suffix of "_protein.tif" and "_nucleus.tif", respectively. <strong>To run the unpackaging script, issue the command line argument:</strong><br> python unpackage_COOS.py [path of HDF5 file] [path of directory to save images to]<br> e.g. python unpackage_COOS.py ./COOS7_v1.0_training.hdf5 ./COOS7_v1.0_training_images/ <strong>Full information about the test sets and the images can be found at https://arxiv.org/abs/1906.07282.</strong>
DOI: 10.5281/zenodo.3900470
title: Geopackage of data for Historical Archaeology and JOAD article

description: This file is a Geopackage database that includes the following: Digital Elevation Model for Blue Mountain Charcoal Research Project. https://zenodo.org/record/1252441 Hillshade Analysis of "Digital Elevation Model for Blue Mountain Charcoal Research Project". https://zenodo.org/record/1252520 Slope Analysis of "Digital Elevation Model for Blue Mountain Charcoal Research Project". https://zenodo.org/record/1252977 Identified Charcoal Hearths from "Slope Analysis of 'Digital Elevation Model for Blue Mountain Charcoal Research Project'". https://zenodo.org/record/1252985 Blue Mountain Charcoal Project Research Area. https://zenodo.org/record/1252418 The collection of this data is described here: Description of Methods for Identifying Charcoal Hearths along the Blue Mountain of Pennsylvania. https://zenodo.org/record/1255101 And is published here: Carter, Benjamin P. 2019. “Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.” <em>Historical Archaeology</em> 53 (2): 432–43. https://doi.org/10.1007/s41636-019-00171-1. Carter, Benjamin. 2019. “Data for ‘Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.’” <em>Journal of Open Archaeology Data</em> 7 (July). https://doi.org/10.5334/joad.53. This data can be visualized here: NEEDED
description: {"references": ["Carter, Benjamin. 2019. \"Data for 'Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.'\" Journal of Open Archaeology Data 7 (July). https://doi.org/10.5334/joad.53.", "Carter, Benjamin P. 2019. \"Identifying Landscape Modification Using Open Data and Tools: The Charcoal Hearths of the Blue Mountain, Pennsylvania.\" Historical Archaeology 53 (2): 432\u201343. https://doi.org/10.1007/s41636-019-00171-1."]}
DOI: 10.5281/zenodo.3900550
title: Federal Advisory Council Membership

description: Membership of the Federal Advisory Council dataset. SEC filings for banks who have been members of the FAC,
DOI: 10.5281/zenodo.3900549
title: Federal Advisory Council Membership

description: Membership of the Federal Advisory Council dataset. SEC filings for banks who have been members of the FAC,
DOI: 10.5281/zenodo.3900556
title: Data from Vlasov Plasma Waves solver Kinetic Alfven Waves Solutions in the inner magnetosphere

description: Dispersion analysis output files for plasma waves propagating, at different L-shells and different propagation angles, in the inner magnetosphere considering multi-species and also electron-proton plasma. All data correspond to frequency and plasma wave diagnostic spectra as a function of wavenumber. Data includes: complex frequency polarization magnetic helicity magnetic compressibility electric field magnetic field
DOI: 10.5281/zenodo.3900555
title: Data from Vlasov Plasma Waves solver Kinetic Alfven Waves Solutions in the inner magnetosphere

description: Dispersion analysis output files for plasma waves propagating, at different L-shells and different propagation angles, in the inner magnetosphere considering multi-species and also electron-proton plasma. All data correspond to frequency and plasma wave diagnostic spectra as a function of wavenumber. Data includes: complex frequency polarization magnetic helicity magnetic compressibility electric field magnetic field
DOI: 10.5281/zenodo.3700210
title: An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain

description: Fischer 344 MRI atlas as described in Scientific Reports https://www.nature.com/articles/s41598-020-63965-x ---------------------------version 3 changes--------------------------- -added Tissue Probability Maps and classification files in both MINC and NIfTI -added left and right hemispheric masking files -modified hippocampal and basal forebrain labels for increased label accuracy Note. This is not the newest version of this resource. Please see www.zenodo.com/record/3900544 for the latest version including a description of the changes made.
DOI: 10.5281/zenodo.3900544
title: An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain

description: Fischer 344 MRI atlas as described in Scientific Reports https://www.nature.com/articles/s41598-020-63965-x ---------------------------version 4 changes--------------------------- - added minc header in label.mnc files to include cosines (courtesy of Dr. Eduardo A. Garza-Villarreal) -adjusted file name conventions to be compatible with MAGeT brain atlas library requirements
DOI: 10.5281/zenodo.3555555
title: An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain

description: Fischer 344 MRI atlas as described in Scientific Reports https://www.nature.com/articles/s41598-020-63965-x ---------------------------version 4 changes--------------------------- - added minc header in label.mnc files to include cosines (courtesy of Dr. Eduardo A. Garza-Villarreal) -adjusted file name conventions to be compatible with MAGeT brain atlas library requirements
DOI: 10.6078/m74747z0
title: The Amulets of the Kerma Culture
DOI: 10.7910/dvn/ixmsqy/huzpwg
title: replication_data.tab

description: :unav
DOI: 10.7910/dvn/ixmsqy/l9htsk
title: PSRM_replication_main.pdf

description: :unav
DOI: 10.7910/dvn/ixmsqy/faanxc
title: PSRM_replication_appendix.R

description: :unav
DOI: 10.7910/dvn/ixmsqy/0nuwc1
title: PSRM_replication_tables_appendix.do

description: :unav
DOI: 10.7910/dvn/ixmsqy/sxlv1o
title: PSRM-replication_appendix.pdf

description: :unav
DOI: 10.7910/dvn/ixmsqy/mi9vhd
title: PSRM_replication_main.R

description: :unav
DOI: 10.7910/dvn/ixmsqy/wrgifm
title: PSRM_replication_table_appendix_log.smcl

description: :unav
DOI: 10.7910/dvn/ixmsqy/yfewbo
title: PSRM_replication_tables_main.do

description: :unav
DOI: 10.7910/dvn/ixmsqy/8oipns
title: PSRM_replication_tables_main_log.smcl

description: :unav
DOI: 10.7910/dvn/ixmsqy/wu0xjk
title: JFS_PSRM_publication.pdf

description: :unav
DOI: 10.7910/dvn/ixmsqy/7ijfpo
title: JFS_PSRM publication Appendix.pdf

description: :unav
DOI: 10.21227/44z5-9k90
title: Palisade: A Framework for Anomaly Detection in Embedded Systems Dataset

description: This dataset accompanies the article "Palisade: A Framework for Anomaly Detection in Embedded Systems." It contains traces, programs, and specifications used in the case studies from the paper.
DOI: 10.21227/w25x-mk33
title: Palisade: A Framework for Anomaly Detection in Embedded Systems Dataset

description: This dataset accompanies the article "Palisade: A Framework for Anomaly Detection in Embedded Systems." It contains traces, programs, and specifications used in the case studies from the paper.
DOI: 10.5066/p9ip9k11
title: Modeled and observed trends at reference basins in the conterminous U.S. from October 1, 1983 through September 30, 2016

description: This data release contains trend results computed on the basis of modeled and observed daily streamflows at 502 reference gages across the conterminous U.S. from October 1, 1983 through September 30, 2016. Modeled daily streamflows were computed using the deterministic Precipitation Runoff Modeling System (PRMS), and five statistical techniques: Nearest-Neighbor Drainage Area Ratio (NNDAR), Map-Correlation Drainage Area Ratio (MCDAR), Ordinary Kriging of the logarithms of discharge per unit area (OKDAR), Nearest-Neighbor nonlinear spatial interpolation using flow duration curves (NNQPPQ), and Map-Correlation nonlinear spatial interpolation using flow duration curves (MCQPPQ). Observed daily streamflow data for the study gages were retrieved from the National Water Information System (NWIS). Study gages were selected from among Hydro-Climatic Data Network 2009 (HCDN-2009) gages in the GAGES-II dataset considered to be minimally affected by regulation, diversion, mining, or other anthropogenic activities. Results include trends in annual and monthly means, annual percentiles (1, 5, 10, 25, 50, 75, 90, 95, 99), annual 1-day high, 3-day high, and 7-day low, and annual snowmelt-related runoff timing for a subset of snowmelt dominated basins. Bias and volumetric efficiency statistics between observed and modeled streamflows also are provided.
DOI: 10.7295/w9cil52246
title: CIL:52246, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52247
title: CIL:52247, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52248
title: CIL:52248, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52249
title: CIL:52249, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52234
title: CIL:52234, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52235
title: CIL:52235, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52236
title: CIL:52236, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52237
title: CIL:52237, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52238
title: CIL:52238, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52239
title: CIL:52239, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52242
title: CIL:52242, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.6084/m9.figshare.3761562.v1527
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.7295/w9cil52243
title: CIL:52243, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52244
title: CIL:52244, Mus musculus, Retinal Pigment Epithelial cells
DOI: 10.7295/w9cil52245
title: CIL:52245, Mus musculus, Retinal Pigment Epithelial cells