cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3711648
title: Model data for "Flow Separation and Increased Drag Coefficient in Estuarine Channels with Curvature"

description: These are the model data we generated using ROMS and analyzed for the journal article "Increased Drag Coefficient in Estuarine Channels with Curvature". Files include 8 sinuous channel models and 2 straight channels. sinuous_channel_1.nc and straight_channel_1.nc are the pair of models analyzed in section 3. sinuous_channel_1_avg.nc and straight_channel_1_avg.nc are the one-hour average result. sinuous_channel_2_avg.nc and straight_channel_2_avg.nc are the pair of deep channel models. sinuous_channel_3_avg.nc and others are the other different sinuous channel models.
DOI: 10.5281/zenodo.3711647
title: Model data for "Flow Separation and Increased Drag Coefficient in Estuarine Channels with Curvature"

description: These are the model data we generated using ROMS and analyzed for the journal article "Increased Drag Coefficient in Estuarine Channels with Curvature". Files include 8 sinuous channel models and 2 straight channels. sinuous_channel_1.nc and straight_channel_1.nc are the pair of models analyzed in section 3. sinuous_channel_1_avg.nc and straight_channel_1_avg.nc are the one-hour average result. sinuous_channel_2_avg.nc and straight_channel_2_avg.nc are the pair of deep channel models. sinuous_channel_3_avg.nc and others are the other different sinuous channel models.
DOI: 10.6084/m9.figshare.13093094
title: PyStan PROBPROG example

description: InferenceData containing results of the radon model generated with PyStan and ArviZ
DOI: 10.6084/m9.figshare.13093094.v1
title: PyStan PROBPROG example

description: InferenceData containing results of the radon model generated with PyStan and ArviZ
DOI: 10.15139/s3/x0ohpd
title: Replication Data for: MiniMUGA Validation and Performance

description: This archive includes genotyping results and sample metadata used in the development of the MiniMUGA platform as described in "Content and performance of the MiniMUGA genotyping array, a new tool to improve rigor and reproducibility in mouse research".
DOI: 10.15468/dw9f2t
title: Flora of potential exploitable ranches in the Zou and Collines departments of Benin

description: This list of occurrences gives the geo-referencing of plant species encountered in certain ranches in the Zou and Collines departments in Benin as part of the PAGEFCOM 2 Project studies, focused on floristic inventories, carbon sequestration, ecotourism. and wildlife, for an inventory in order to promote these different available ranches.
DOI: 10.5281/zenodo.3939046
title: Time series of electricity output for large grid connected photovoltaic installations in Chile

description: These data sets accompany the paper "Simulation of multi-annual time series of solar photovoltaic power: is the ERA5-land reanalysis the next big step?". They include capacity factors (values 0 to 1) in hourly temporal resolution of 103 large PV installations in Chile derived from official sources as well as simulated capacity factors using PV_LIB with ERA5-land and MERRA-2 reanalysis data. The data covers the period 2014-2018 and simulations were performed assuming either a "fixed" system with orientation towards north and inclination equal to the latitude (i.e. optimal inclination) or a horizontal single axis “tracking” system with backtracking. Furthermore, accuracy indicators (Pearson’s correlation, mean bias error and root mean square error) are provided, comparing the simulated time series with capacity factors derived from official sources. Capacity factors were calculated for the 103 installations and both alternative configurations (“fixed” and “tracking”) but only a subset of 23 installations has reference data of sufficient quality to allow for a validation (for a more detailed description, see the paper). Indicators were also calculated for all installations and configurations but should be only compared for installations inside a particular configuration: there are 14 systems classified as “tracking” and 9 as “fixed”. Further details are available in the paper and the entire Python and R code is available on github at https://github.com/inwe-boku/PV_from_era5.
description: The file "input_data.rar" includes a shape file "solares_fd0779de_0870_4194_b962_83a842d8c316.shp" containing the locations of the PV installation as well as a subdirectory "energia_abierta" where all raw time series of the installations in their original download. The MERRA-2 and ERA5-land files are not provided but the time series of the variables transformed to the units useful for the simulations for the location of each plant are provided in individual files (per variable and reanalysis source) in the file "data.rar". The file "data.rar" also includes all necessary files to run the R analysis scripts. The content of the file is described in more detail in the excel file "data_description".
DOI: 10.6084/m9.figshare.13092881
title: R0190_20170905a_videos

description: Rat 0190, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.13012/b2idb-4045402_v1
title: Multiple stem and environmental variables dataset

description: Data on permanent plots at Fortuna and the Panama Canal Watershed, Republic of Panama, containing counts and percent of trees with one or more multiple stems &gt;10cm diameter, with and without palms. Accompanying environmental data includes elevation, precipitation, soil type and soil chemical variables (pH, total N, NO3, NO4, resin P, mehlich Ca, K and Mg.
DOI: 10.5281/zenodo.4088929
title: Analysis of an obstetrics point-of-care ultrasound training program for healthcare practitioners in Zanzibar, Tanzania

description: Data set for antenatal care P\practitioners who participated in an obstetrics ultrasound education program in Zanzibar, Tanzania
DOI: 10.5281/zenodo.4088928
title: Analysis of an obstetrics point-of-care ultrasound training program for healthcare practitioners in Zanzibar, Tanzania

description: Data set for antenatal care P\practitioners who participated in an obstetrics ultrasound education program in Zanzibar, Tanzania
DOI: 10.6084/m9.figshare.13093256
title: Diversidade florística em Áreas de Preservação Permanente de um plantio comercial de eucalipto no bioma Pampa, sul do Brasil –– Floristic diversity of Areas of Permanent Preservation in an eucalyptus tree crop farm in the Pampa biome, Brazil –– Material Suplementar / Supplementary Material

description: <b>Possuidores de elevada biodiversidade, os campos do sul do Brasil vêm sendo ameaçados por diversos fatores, dentre eles, o avanço das fronteiras agrícolas. Áreas de Preservação Permanente (APPs) podem contribuir para a conservação da biota desses ecossistemas mesmo em paisagens cultivadas. O objetivo deste estudo foi descrever a diversidade florística de quatro APPs inseridas em um plantio comercial de </b><i>Eucalyptus saligna</i><b>. localizado em Pantano Grande, Rio Grande do Sul, no bioma Pampa. </b> <b><br></b><b>Grasslands of southern Brazil are composed of high biodiversity and threatened by several factors, such as the advancement of agricultural frontiers. Areas of Permanent Preservation (APP) can contribute to the preservation of these environments. However, studies on their floristic composition are limited, especially about the herbaceous stratum. The objective of this study is to describe the floristic diversity of four Areas of Permanent Preservation inserted in an </b><i>Eucalyptus saligna</i><b>. tree crop farm in Pantano Grande, RS, located in the Pampa biome. </b><b><br></b>
DOI: 10.6084/m9.figshare.13093256.v1
title: Diversidade florística em Áreas de Preservação Permanente de um plantio comercial de eucalipto no bioma Pampa, sul do Brasil –– Floristic diversity of Areas of Permanent Preservation in an eucalyptus tree crop farm in the Pampa biome, Brazil –– Material Suplementar / Supplementary Material

description: <b>Possuidores de elevada biodiversidade, os campos do sul do Brasil vêm sendo ameaçados por diversos fatores, dentre eles, o avanço das fronteiras agrícolas. Áreas de Preservação Permanente (APPs) podem contribuir para a conservação da biota desses ecossistemas mesmo em paisagens cultivadas. O objetivo deste estudo foi descrever a diversidade florística de quatro APPs inseridas em um plantio comercial de </b><i>Eucalyptus saligna</i><b>. localizado em Pantano Grande, Rio Grande do Sul, no bioma Pampa. </b> <b><br></b><b>Grasslands of southern Brazil are composed of high biodiversity and threatened by several factors, such as the advancement of agricultural frontiers. Areas of Permanent Preservation (APP) can contribute to the preservation of these environments. However, studies on their floristic composition are limited, especially about the herbaceous stratum. The objective of this study is to describe the floristic diversity of four Areas of Permanent Preservation inserted in an </b><i>Eucalyptus saligna</i><b>. tree crop farm in Pantano Grande, RS, located in the Pampa biome. </b><b><br></b>
DOI: 10.6084/m9.figshare.13093064.v1
title: Soss PROBPROG example

description: InferenceData containing results of the radon model generated with Soss and ArviZ.jl<br>
DOI: 10.5517/ccdc.csd.cc1yvfy5
title: CCDC 1812878: Experimental Crystal Structure Determination

description: Related Article: Christopher John Moody,  Steven Wales,  Holly Adcock,  Daniel Hamza,  William Lewis|2018|Eur.J.Org.Chem.|2018|4696|doi:10.1002/ejoc.201800962
DOI: 10.5517/ccdc.csd.cc1yvfz6
title: CCDC 1812879: Experimental Crystal Structure Determination

description: Related Article: Christopher John Moody,  Steven Wales,  Holly Adcock,  Daniel Hamza,  William Lewis|2018|Eur.J.Org.Chem.|2018|4696|doi:10.1002/ejoc.201800962
DOI: 10.5517/ccdc.csd.cc1yvg08
title: CCDC 1812880: Experimental Crystal Structure Determination

description: Related Article: Christopher John Moody,  Steven Wales,  Holly Adcock,  Daniel Hamza,  William Lewis|2018|Eur.J.Org.Chem.|2018|4696|doi:10.1002/ejoc.201800962
DOI: 10.5517/ccdc.csd.cc1yvg19
title: CCDC 1812881: Experimental Crystal Structure Determination

description: Related Article: Christopher John Moody,  Steven Wales,  Holly Adcock,  Daniel Hamza,  William Lewis|2018|Eur.J.Org.Chem.|2018|4696|doi:10.1002/ejoc.201800962
DOI: 10.5517/ccdc.csd.cc1yw511
title: CCDC 1813563: Experimental Crystal Structure Determination

description: Related Article: Anton Ivanov, Clément Falaise, Pavel Abramov, Michael Shestopalov, Kaplan Kirakci, Kamil Lang, Mhamad Moussawi, Maksim Sokolov, Sebastien Floquet, David Landy, Nikolay Naumov, Mohamed Haouas, Konstantin Brylev, Yuri Mironov, Yann Molard, stéphane Cordier, Emmanuel Cadot|2018|Chem.-Eur.J.|24|13467|doi:10.1002/chem.201802102
DOI: 10.5517/ccdc.csd.cc1yxv7y
title: CSD 1815181: Experimental Crystal Structure Determination

description: Related Article: Frank Heinke, Philipp Urban, Anton Werwein, Christina Fraunhofer, Tobias Rosenthal, Stefan Schwarzmüller, Daniel Souchay, Felix Fahrnbauer, Vadim Dyadkin, Gerald Wagner, Oliver Oeckler|2018|Inorg.Chem.|57|4427|doi:10.1021/acs.inorgchem.8b00105
DOI: 10.5517/ccdc.csd.cc1yxvg5
title: CSD 1815188: Experimental Crystal Structure Determination

description: Related Article: Frank Heinke, Philipp Urban, Anton Werwein, Christina Fraunhofer, Tobias Rosenthal, Stefan Schwarzmüller, Daniel Souchay, Felix Fahrnbauer, Vadim Dyadkin, Gerald Wagner, Oliver Oeckler|2018|Inorg.Chem.|57|4427|doi:10.1021/acs.inorgchem.8b00105
DOI: 10.5517/ccdc.csd.cc1yxvh6
title: CSD 1815189: Experimental Crystal Structure Determination

description: Related Article: Frank Heinke, Philipp Urban, Anton Werwein, Christina Fraunhofer, Tobias Rosenthal, Stefan Schwarzmüller, Daniel Souchay, Felix Fahrnbauer, Vadim Dyadkin, Gerald Wagner, Oliver Oeckler|2018|Inorg.Chem.|57|4427|doi:10.1021/acs.inorgchem.8b00105
DOI: 10.5517/ccdc.csd.cc1yxvj7
title: CSD 1815190: Experimental Crystal Structure Determination

description: Related Article: Frank Heinke, Philipp Urban, Anton Werwein, Christina Fraunhofer, Tobias Rosenthal, Stefan Schwarzmüller, Daniel Souchay, Felix Fahrnbauer, Vadim Dyadkin, Gerald Wagner, Oliver Oeckler|2018|Inorg.Chem.|57|4427|doi:10.1021/acs.inorgchem.8b00105
DOI: 10.5517/ccdc.csd.cc1yxvk8
title: CSD 1815191: Experimental Crystal Structure Determination

description: Related Article: Frank Heinke, Philipp Urban, Anton Werwein, Christina Fraunhofer, Tobias Rosenthal, Stefan Schwarzmüller, Daniel Souchay, Felix Fahrnbauer, Vadim Dyadkin, Gerald Wagner, Oliver Oeckler|2018|Inorg.Chem.|57|4427|doi:10.1021/acs.inorgchem.8b00105
DOI: 10.5517/ccdc.csd.cc1yxvl9
title: CSD 1815192: Experimental Crystal Structure Determination

description: Related Article: Frank Heinke, Philipp Urban, Anton Werwein, Christina Fraunhofer, Tobias Rosenthal, Stefan Schwarzmüller, Daniel Souchay, Felix Fahrnbauer, Vadim Dyadkin, Gerald Wagner, Oliver Oeckler|2018|Inorg.Chem.|57|4427|doi:10.1021/acs.inorgchem.8b00105
DOI: 10.5517/ccdc.csd.cc1yy6vy
title: CSD 1815541: Experimental Crystal Structure Determination

description: Related Article: Scott Forbes, Tai Kong, Robert J. Cava|2018|Inorg.Chem.|57|3873|doi:10.1021/acs.inorgchem.7b03197
DOI: 10.5517/ccdc.csd.cc1yy6wz
title: CSD 1815542: Experimental Crystal Structure Determination

description: Related Article: Scott Forbes, Tai Kong, Robert J. Cava|2018|Inorg.Chem.|57|3873|doi:10.1021/acs.inorgchem.7b03197
DOI: 10.5517/ccdc.csd.cc1yy6x0
title: CSD 1815543: Experimental Crystal Structure Determination

description: Related Article: Scott Forbes, Tai Kong, Robert J. Cava|2018|Inorg.Chem.|57|3873|doi:10.1021/acs.inorgchem.7b03197
DOI: 10.5517/ccdc.csd.cc1z1rqh
title: CSD 1818947: Experimental Crystal Structure Determination

description: Related Article: Volodymyr Gvozdetskyi, Anatoliy Senyshyn, Roman Gladyshevskii, Viktor Hlukhyy|2018|Inorg.Chem.|57|5820|doi:10.1021/acs.inorgchem.8b00208
DOI: 10.5517/ccdc.csd.cc1z1yzy
title: CSD 1819141: Experimental Crystal Structure Determination

description: Related Article: Solène Miaskiewicz, John H. Reed, Pavel A. Donets, Caio C. Oliveira, Nicolai Cramer|2018|Angew.Chem.,Int.Ed.|57|4039|doi:10.1002/anie.201801300
description: Related Article: Joyce Pham, Gordon J. Miller|2018|Inorg.Chem.|57|4039|doi:10.1021/acs.inorgchem.8b00214
DOI: 10.5517/ccdc.csd.cc1z1z00
title: CSD 1819142: Experimental Crystal Structure Determination

description: Related Article: Solène Miaskiewicz, John H. Reed, Pavel A. Donets, Caio C. Oliveira, Nicolai Cramer|2018|Angew.Chem.,Int.Ed.|57|4039|doi:10.1002/anie.201801300
description: Related Article: Joyce Pham, Gordon J. Miller|2018|Inorg.Chem.|57|4039|doi:10.1021/acs.inorgchem.8b00214
DOI: 10.5517/ccdc.csd.cc1z24hp
title: CCDC 1819312: Experimental Crystal Structure Determination

description: Related Article: Solène Miaskiewicz, John H. Reed, Pavel A. Donets, Caio C. Oliveira, Nicolai Cramer|2018|Angew.Chem.,Int.Ed.|57|4039|doi:10.1002/anie.201801300
DOI: 10.5281/zenodo.4087670
title: 3D metabolic profiles acquired by a Time-of-Flight Secondary Ion Mass Spectrometry (TOF-SIMS)

description: Dataset for "Spatially resolved 3D metabolomic profiling in tissues" The Dataset has 6 subdata of TOF-SIMS signal raw data:<br> * Inside germinal center dataset separate into 2<br> * Outside germinal center dataset<br> * Border germinal center dataset<br> * Unlabeled dataset separate into 2<br> * Labeled tonsil tissue dataset<br> * Unlabeled tonsil tissue dataset 1 processed data for python numpy version: 3D metabolites npy Data.zip Each dataset is a folder that has 191 txt files corresponding to the signal of 189 mass channels, the sum of all signals and the rest of signals not captured. <br> In each folder, the signal corresponding to a channel is named: name - molecular compound<br>
DOI: 10.5281/zenodo.4087669
title: 3D metabolic profiles acquired by a Time-of-Flight Secondary Ion Mass Spectrometry (TOF-SIMS)

description: Dataset for "Spatially resolved 3D metabolomic profiling in tissues" The Dataset has 6 subdata of TOF-SIMS signal raw data:<br> * Inside germinal center dataset separate into 2<br> * Outside germinal center dataset<br> * Border germinal center dataset<br> * Unlabeled dataset separate into 2<br> * Labeled tonsil tissue dataset<br> * Unlabeled tonsil tissue dataset 1 processed data for python numpy version: 3D metabolites npy Data.zip Each dataset is a folder that has 191 txt files corresponding to the signal of 189 mass channels, the sum of all signals and the rest of signals not captured. <br> In each folder, the signal corresponding to a channel is named: name - molecular compound<br>
DOI: 10.25345/c5fn4m
title: MassIVE MSV000086287 - 10142020_Fe_binding_compounds_Keyzers
title: Purified rutin and nicotiflorin and extracts were subjected to iron addition at 500 uM and 1 mM concentrations.
DOI: 10.6084/m9.figshare.13092884
title: R0184_20170901a_videos

description: Rat 0184, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.25345/c59v0x
title: MassIVE MSV000086288 - test dataset for testing massive
title: asdf;ndsf;kjbadf;kjbdf;kjabsdf;kjabsdf;kjabsdf;kjabdf;kjabdf;kjad f;kjad sf;akjd f;akjsdf ;akjdf a;kjdf a;ksjdf a;kdsjf ;aksdjf a;kjdsf a;kdf a;kdsjf
DOI: 10.18112/openneuro.ds003233.v1.2.0
title: Think Like an Expert
DOI: 10.21227/sx8p-j298
title: Supplementary Material To: A Safety Benchmark for Capacitive Proximity Sensing Robotic Skins –Safe Transient Contact in Compliance to ISO TS 15066: Power and Force Limiting (PFL)

description: Supplementary Data for Publication "A Safety Benchmark for Capacitive Proximity Sensing Robotic Skins - Safe Transient Contact in Compliance to ISO TS 15066: Power and Force Limiting (PFL) Disclaimer: This publication was submitted and is currently under review to be published for IEEE RA-L with ICRA 2021 option. Fundings: The research leading to this results has received fundingfrom the ”Kärntner Wirtschaftsförderung Fonds” (KWF) and the ”European Regional Development Fund” (EFRE) within the CapSize project 26616/30969/44253 Preliminary version of the abstract: During co-presence of human workers and robotsin the same workspace, Power and Force Limiting (PFL)according to ISO TS 15066 is required to avoid injuries duringundesired contacts. Capacitive Proximity Sensors (CPSs) offer acost-effective solution to cover the entire robot manipulator withfast close-range perception for Human Robot Collaboration(HRC) tasks.Compared to pure tactile or force sensing, the sensors allowan increase of operating speeds of cobots while still maintainingPFL. The robot reacts before impacts occur and does not sufferfrom occlusion, as the sensors close the perception gap left bytactile detection and mid range distance sensors. However, sincecapacitive coupling to obstacles varies not only with distance,but also with shape and material properties, the projectionfrom capacitance to actual distances is a general problem. Areference benchmark is required for the evaluation to ensuresafe PFL.We derive the requirements described in ISO TS 15066for PFL of critical body regions and propose a method fordetermining the pre-detection operation speed to comply withPFL. Researchers from four different institutes present threedifferent designs of capacitive sensors and their applicabilityon different robots. We propose a universal benchmark testprocedure for fellow researchers to evaluate their capacitivesensors for safe PFL
DOI: 10.6084/m9.figshare.13050386.v3
title: Code and data for estimating fishing effort from spatially extensive data across a lake-rich landscape

description: This repository contains code and data used to answer the following questions: 1. When fit to spatially extensive data, can models detect annual, seasonal, and daily changes in fishing effort? 2. How do fishing effort estimates derived from extensive observations compare to those derived from intensive observation? 3. How well can models fit to extensive data predict total fishing effort on unobserved lakes? 4. How can these model-based methods be applied to predict fishing effort across a fisheries landscape? <br>All subfolders of code and data can be found in "code data output subfolders.zip"<br>v.3 update: This code pulls from the 'csvs' folder as well as from the 10/13/2020 version (v.3) of the MFE database found and downloaded here: https://caryinstitute.figshare.com/articles/MFE_database_Data_from_ecosystem_ecology_research_by_Jones_Solomon_and_collaborators_on_the_ecology_and_biogeochemistry_of_lakes_and_lake_organisms_in_the_Upper_Midwest_USA/7438598 <br>See the "ReadMe.txt" file for code order and metadata.<br>
DOI: 10.6084/m9.figshare.13050386.v2
title: Code and data for estimating fishing effort from spatially extensive data across a lake-rich landscape

description: This repository contains code and data used to answer the following questions: 1. When fit to spatially extensive data, can models detect annual, seasonal, and daily changes in fishing effort? 2. How do fishing effort estimates derived from extensive observations compare to those derived from intensive observation? 3. How well can models fit to extensive data predict total fishing effort on unobserved lakes? 4. How can these model-based methods be applied to predict fishing effort across a fisheries landscape? <br>All subfolders of code and data can be found in "code data output subfolders.zip"<br>This code pulls from the 'csvs' folder as well as from the 9/30/2020 version of the MFE database found here: https://caryinstitute.figshare.com/articles/MFE_database_Data_from_ecosystem_ecology_research_by_Jones_Solomon_and_collaborators_on_the_ecology_and_biogeochemistry_of_lakes_and_lake_organisms_in_the_Upper_Midwest_USA/7438598 <br>See the "ReadMe.txt" file for code order and metadata. <br>
DOI: 10.6084/m9.figshare.3761562.v1644
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: 10.6084/m9.figshare.13093064
title: Soss PROBPROG example

description: InferenceData containing results of the radon model generated with Soss and ArviZ.jl<br>
DOI: 10.6084/m9.figshare.13093064.v3
title: Soss PROBPROG example

description: InferenceData containing results of the radon model generated with Soss and ArviZ.jl<br>
DOI: 10.6084/m9.figshare.13093064.v2
title: Soss PROBPROG example

description: InferenceData containing results of the radon model generated with Soss and ArviZ.jl<br>
DOI: 10.15784/601380
title: SP19 Gas Chronology

description: We present the SP19 gas chronology for the South Pole ice core. The chronology is based on stratigraphic matching of abrupt methane (CH4) changes. To construct the chronology, abrupt changes in CH4 during the glacial period and small, 20-30ppb, centennial scale changes in CH4 were used with analogous data from the West Antarctic Ice Sheet Divide ice core. Stratigraphic matching was verified by an optimization algorithm. The ages cover the last 52,586 years. Absolute uncertainty increases with depth until ± 540 years.
DOI: 10.15784/601381
title: South Pole ice core (SPC14) discrete methane data

description: We present the methane (CH4) concentration data for the South Pole ice core (SPC14). CH4 concentrations were measured jointly at Oregon State University and Pennsylvania State University. All depths are in meters below the surface. Methane data have been corrected for blank offsets, solubility, and gravitational fractionation. All ages are in years before 1950 C.E. on the SP19 gas chronology.