cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7793615
title: Data for the article: "A quantum electromechanical interface for long-lived phonons"

description: The data used for generating the figures in the article: "A quantum electromechanical interface for long-lived phonons".
DOI: 10.5281/zenodo.7793614
title: Data for the article: "A quantum electromechanical interface for long-lived phonons"

description: The data used for generating the figures in the article: "A quantum electromechanical interface for long-lived phonons".
DOI: 10.34740/kaggle/dsv/5307320
title: MLB Hitting and Pitching Stats Through All Time
DOI: 10.34740/kaggle/dsv/5281032
title: Titanic Leaderboard March 2023
DOI: 10.6084/m9.figshare.21735797
title: Data Set from Evaluating Stage Motion for Automated Electron Microscopy

description: Dataset includes 311 *.bmp images acquired by the PNNL AutoEM system and calculations of various types of stage precision. Associated with the manuscript "Evaluating Stage Motion for Automated Electron Microscopy" by Kevin Fiedler, Matthew Olszta, Kayla Yano, Christina Doty, Derek Hopkins, Sarah Akers, and Steven Spurgeon.
DOI: 10.6084/m9.figshare.21735797.v2
title: Data Set from Evaluating Stage Motion for Automated Electron Microscopy

description: Dataset includes 311 *.bmp images acquired by the PNNL AutoEM system and calculations of various types of stage precision. Associated with the manuscript "Evaluating Stage Motion for Automated Electron Microscopy" by Kevin Fiedler, Matthew Olszta, Kayla Yano, Christina Doty, Derek Hopkins, Sarah Akers, and Steven Spurgeon. <br> Data added on April 3, 2023 includes an additional 216 *.bmp images demonstrating the testing standard on another microscope that is included in the supplemental information in the revision of the manuscript above.
DOI: 10.5517/ccdc.csd.cc2dyvx4
title: CCDC 2233237: Experimental Crystal Structure Determination

description: Related Article: Ming Liu, Yan Xiong, Weixiu Xu, Yong Wang|2023|New J.Chem.|47|6796|doi:10.1039/D3NJ00049D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dyvy5
title: CCDC 2233238: Experimental Crystal Structure Determination

description: Related Article: Ming Liu, Yan Xiong, Weixiu Xu, Yong Wang|2023|New J.Chem.|47|6796|doi:10.1039/D3NJ00049D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5tq5rq32
title: MassIVE MSV000091622 - Effect of salinity stress on the exoproteome profile of Bacillus amyloliquefaciens EB2003A
title: The study focused on the effect of 200 mM NaCl on the exoproteome profile of Bacillus amyloliquefaciens.
DOI: 10.25919/dh0j-3n95
title: Parkes observations for project P595 semester 2022OCTS_10

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.6084/m9.figshare.22540213
title: fNIRS Scans

description: The data set is provided in the native NIRStar format (.wl1 and .wl2 file format).
DOI: 10.5281/zenodo.7790159
title: Data for WarpX Milestone ECP-ADSE06.FY23.1: Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages.

description: # Artifact Description This dataset includes the inputs, outputs, job submission scripts, and data analysis scripts used to prepare the ECP WarpX Year 7 Milestone 1 report for "Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages." The code versions of WarpX, AMReX, and PICSAR used are stored in the output* file for each run. Furthermore, a 3D visualization of a completed run is included. However, since the used code version included very recent enhancements that will only enter the WarpX mainline (development) branch at a later point in time via pull request, this dataset also contains the WarpX source code that was used for the runs. Features added include: https://github.com/ECP-WarpX/WarpX/pull/3734 Please see the meta-data for a link to the WarpX mainline repository/archives and documentation of WarpX. Each run directory contains the input and submission scripts, compute-job related output files, a Jupyter notebook for analysis, and an analysis directory. The latter contains a figure comparing the mean beam energy (Lorentz factor), and emittance evolution over the course of the simulation. It also contains the data in CSV format that was used to create the figures. # Acknowledgments WarpX is supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation's exascale computing imperative.
DOI: 10.5281/zenodo.7790160
title: Data for WarpX Milestone ECP-ADSE06.FY23.1: Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages.

description: # Artifact Description This dataset includes the inputs, outputs, job submission scripts, and data analysis scripts used to prepare the ECP WarpX Year 7 Milestone 1 report for "Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages." The code versions of WarpX, AMReX, and PICSAR used are stored in the output* file for each run. Furthermore, a 3D visualization of a completed run is included. However, since the used code version included very recent enhancements that will only enter the WarpX mainline (development) branch at a later point in time via pull request, this dataset also contains the WarpX source code that was used for the runs. Features added include: https://github.com/ECP-WarpX/WarpX/pull/3734 Please see the meta-data for a link to the WarpX mainline repository/archives and documentation of WarpX. Each run directory contains the input and submission scripts, compute-job related output files, a Jupyter notebook for analysis, and an analysis directory. The latter contains a figure comparing the mean beam energy (Lorentz factor), and emittance evolution over the course of the simulation. It also contains the data in CSV format that was used to create the figures. # Acknowledgments WarpX is supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation's exascale computing imperative.
DOI: 10.5281/zenodo.7796420
title: Data for WarpX Milestone ECP-ADSE06.FY23.1: Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages.

description: # Artifact Description This dataset includes the inputs, outputs, job submission scripts, and data analysis scripts used to prepare the ECP WarpX Year 7 Milestone 1 report for "Convergence study in 3-D of 15 to 30 consecutive multi-GeV stages." The code versions of WarpX, AMReX, and PICSAR used are stored in the output* file for each run. Furthermore, a 3D visualization of a completed run is included. However, since the used code version included very recent enhancements that will only enter the WarpX mainline (development) branch at a later point in time via pull request, this dataset also contains the WarpX source code that was used for the runs. Features added include: https://github.com/ECP-WarpX/WarpX/pull/3734 Please see the meta-data for a link to the WarpX mainline repository/archives and documentation of WarpX. Each run directory contains the input and submission scripts, compute-job related output files, a Jupyter notebook for analysis, and an analysis directory. The latter contains a figure comparing the mean beam energy (Lorentz factor), and emittance evolution over the course of the simulation. It also contains the data in CSV format that was used to create the figures. # Acknowledgments WarpX is supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation's exascale computing imperative.
DOI: 10.26182/80cs-xm11
title: Broad genotypic variation of  a genetic diverse Brassica napus population
DOI: 10.5281/zenodo.7789759
title: CMIP6 derived ensemble of global vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration

description: Climate change induced trends in long-term aridity—via changes to atmospheric water demand for have the potential to impact surface water availability across the globe by altering efficiency by which precipitation is converted to runoff. Quantification of aridity requires estimates of evaporative demand, often using vapor pressure deficit, potential evapotranspiration, and/or reference evapotranspiration, but no comprehensive estimate of these climate variables exists to date from the Coupled Model Intercomparison Project 6 (CMIP6). Here we present global monthly estimates of the Penman-Monteith short grass reference evapotranspiration, its advective and radiation components, Priestley-Taylor potential evapotranspiration, and vapor pressure deficit from 16 CMIP6 general circulation models (GCM) for the historical period and four future emission scenarios ranging from low to high projected emissions. The purpose of this dataset is to offer structured and well-documented estimates of historical and future projected evaporative demand derived from the state-of-the-science CMIP6 climate models for use in hydrologic and ecological analyses. We produce a single file for all monthly values of each variable for individual GCM/emission scenario combination gridded at the given GCMs native resolution. Produced alongside all of the files are descriptions of each of the variables and generated python scripts that contain the functions used to estimate vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration.
DOI: 10.5281/zenodo.7789758
title: CMIP6 derived ensemble of global vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration

description: Climate change induced trends in long-term aridity—via changes to atmospheric water demand for have the potential to impact surface water availability across the globe by altering efficiency by which precipitation is converted to runoff. Quantification of aridity requires estimates of evaporative demand, often using vapor pressure deficit, potential evapotranspiration, and/or reference evapotranspiration, but no comprehensive estimate of these climate variables exists to date from the Coupled Model Intercomparison Project 6 (CMIP6). Here we present global monthly estimates of the Penman-Monteith short grass reference evapotranspiration, its advective and radiation components, Priestley-Taylor potential evapotranspiration, and vapor pressure deficit from 16 CMIP6 general circulation models (GCM) for the historical period and four future emission scenarios ranging from low to high projected emissions. The purpose of this dataset is to offer structured and well-documented estimates of historical and future projected evaporative demand derived from the state-of-the-science CMIP6 climate models for use in hydrologic and ecological analyses. We produce a single file for all monthly values of each variable for individual GCM/emission scenario combination gridded at the given GCMs native resolution. Produced alongside all of the files are descriptions of each of the variables and generated python scripts that contain the functions used to estimate vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration.
DOI: 10.26182/p0bd-k580
title: Field trials for validation of canola heat tolerance under heat-prone environments (Cycle 1)
DOI: 10.6084/m9.figshare.22541335
title: Availability of access, watch, and reserve (AWaRe) group of antibiotics in community pharmacies located close to a tertiary care hospital in Lalitpur, Nepal

description: The dataset describes the availability of antibiotics belonging to access, watch, reserve, and not recommended categories in community pharmacies located within a two-kilometer radius of a teaching hospital in Lalitpur, Nepal
DOI: 10.13140/rg.2.2.21657.08809
title: Dados IDER e IDEL
DOI: 10.13140/rg.2.2.35078.86081
title: Dados IDER e IDEL
DOI: 10.13140/rg.2.2.13268.48004
title: Dados IDER e IDEL
DOI: 10.13140/rg.2.2.26690.25286
title: Dados IDER e IDEL
DOI: 10.5281/zenodo.7591162
title: ST data for ADEPT

description: ST dataset with GT (DLPFC and BC)
DOI: 10.34740/kaggle/dsv/5307727
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.26188/22541608
title: Rickettsiella viridis 16S rRNA gene

description: Rickettsiella viridis 16S rRNA gene sequences in both the native Acythosiphon pisum and novel Myzus persicae host.
DOI: 10.26188/22541608.v1
title: Rickettsiella viridis 16S rRNA gene

description: Rickettsiella viridis 16S rRNA gene sequences in both the native Acythosiphon pisum and novel Myzus persicae host.
DOI: 10.6084/m9.figshare.22541335.v1
title: Availability of access, watch, and reserve (AWaRe) group of antibiotics in community pharmacies located close to a tertiary care hospital in Lalitpur, Nepal

description: The dataset describes the availability of antibiotics belonging to access, watch, reserve, and not recommended categories in community pharmacies located within a two-kilometer radius of a teaching hospital in Lalitpur, Nepal
DOI: 10.34740/kaggle/dsv/5307766
title: History Channel's Alone Seasons 1-3 and 5-9
DOI: 10.34740/kaggle/dsv/5307769
title: History Channel's Alone Seasons 1-3 and 5-9
DOI: 10.6084/m9.figshare.22542535
title: Data and code of "Can a general allometric relationship between plant biomass and leaf area predict the responses of biomass to global warming?"

description: The data and code for the paper "Can a general allometric relationship between plant biomass and leaf area predict the responses of biomass to global warming?" The data is in the .xls file and the codes are in .txt file.
DOI: 10.6084/m9.figshare.22542535.v1
title: Data and code of "Can a general allometric relationship between plant biomass and leaf area predict the responses of biomass to global warming?"

description: The data and code for the paper "Can a general allometric relationship between plant biomass and leaf area predict the responses of biomass to global warming?" The data is in the .xls file and the codes are in .txt file.
DOI: 10.24431/rw1k7db
title: Gulf Watch Ocean Acidification Monitoring, year 2020 to year 2022. Samples collected from the science cruises conducted by the Prince William Sound Science Center and the Katchemak Bay National Estuarine Research Reserve. Samples were processed at the Alutiiq Pride Marine Center's Ocean Acidification Research Laboratory.

description: These data are part of the Gulf Watch Alaska (GWA) Non-Program Project initative, Pelagic Component of the Exxon Valdez Oil Spill Trustee Council, project number 22200127. Gulf Watch Alaska is the long-term ecosystem monitoring program of the Exxon Valdez Oil Spill Trustee Council for the marine ecosystem affected by the 1989 oil spill. The Chugach Regional Resources Commission (CRRC) operates the Alutiiq Pride Marine Institute (APMI), and its Ocean Acidification Research Laboratory (OAR Lab), in Seward Alaska. This project incorporates dissolved inorganic carbon (DIC) sampling for the purposes of quantifying ocean acidification into the Gulf Watch Program currently funded by Exxon Valdez Oil Spill Trustee Council (EVOSTC). The Gulf Watch program, through its routine sampling, has added the collection of DIC samples to several of its sampling sites. This has added to the current data sets from these locations and offers a broader understanding of ocean acidification in Prince William Sound and Lower Cook Inlet. The Prince William Sound Science Center (PWSSC) and the Kachemak Bay National Estuarine Research Reserve (KBNERR) are current partners in the Gulf Watch program and routinely conduct marine (vessel-based) sampling transects on a time series. The cost to sample and process DIC samples ($34,323 per year) is the only additional cost to the PWSSC and KBNERR existing programs and would go directly to CRRC.
DOI: 10.6084/m9.figshare.22543024
title: Supplemental Tables.docx

description: Supplemental Tables for Losartan alleviates renal fibrosis by inhibiting the biomechanical stress-induced epithelial-mesenchymal transition of renal epithelial cells <br>
DOI: 10.6084/m9.figshare.22543024.v1
title: Supplemental Tables.docx

description: Supplemental Tables for Losartan alleviates renal fibrosis by inhibiting the biomechanical stress-induced epithelial-mesenchymal transition of renal epithelial cells <br>
DOI: 10.13140/rg.2.2.11748.04489
title: ماجيستير لكحل فيصل.pdf
DOI: 10.24431/rw1k7dc
title: Gulf Watch Ocean Acidification Monitoring, year 2020 to year 2023. Samples collected from the science cruises conducted by the Prince William Sound Science Center and the Katchemak Bay National Estuarine Research Reserve. Samples were processed at the Alutiiq Pride Marine Center's Ocean Acidification Research Laboratory.

description: These data are part of the Gulf Watch Alaska (GWA) Non-Program Project initative, Pelagic Component of the Exxon Valdez Oil Spill Trustee Council, project number 22200127. Gulf Watch Alaska is the long-term ecosystem monitoring program of the Exxon Valdez Oil Spill Trustee Council for the marine ecosystem affected by the 1989 oil spill. The Chugach Regional Resources Commission (CRRC) operates the Alutiiq Pride Marine Institute (APMI), and its Ocean Acidification Research Laboratory (OAR Lab), in Seward Alaska. This project incorporates dissolved inorganic carbon (DIC) sampling for the purposes of quantifying ocean acidification into the Gulf Watch Program currently funded by Exxon Valdez Oil Spill Trustee Council (EVOSTC). The Gulf Watch program, through its routine sampling, has added the collection of DIC samples to several of its sampling sites. This has added to the current data sets from these locations and offers a broader understanding of ocean acidification in Prince William Sound and Lower Cook Inlet. The Prince William Sound Science Center (PWSSC) and the Kachemak Bay National Estuarine Research Reserve (KBNERR) are current partners in the Gulf Watch program and routinely conduct marine (vessel-based) sampling transects on a time series. The cost to sample and process DIC samples ($34,323 per year) is the only additional cost to the PWSSC and KBNERR existing programs and would go directly to CRRC.
DOI: 10.24431/rw1k7dd
title: Gulf Watch Ocean Acidification Monitoring, year 2020 to year 2023. Samples collected from the science cruises conducted by the Prince William Sound Science Center and the Katchemak Bay National Estuarine Research Reserve. Samples were processed at the Alutiiq Pride Marine Center's Ocean Acidification Research Laboratory.

description: These data are part of the Gulf Watch Alaska (GWA) Non-Program Project initative, Pelagic Component of the Exxon Valdez Oil Spill Trustee Council, project number 22200127. Gulf Watch Alaska is the long-term ecosystem monitoring program of the Exxon Valdez Oil Spill Trustee Council for the marine ecosystem affected by the 1989 oil spill. The Chugach Regional Resources Commission (CRRC) operates the Alutiiq Pride Marine Institute (APMI), and its Ocean Acidification Research Laboratory (OAR Lab), in Seward Alaska. This project incorporates dissolved inorganic carbon (DIC) sampling for the purposes of quantifying ocean acidification into the Gulf Watch Program currently funded by Exxon Valdez Oil Spill Trustee Council (EVOSTC). The Gulf Watch program, through its routine sampling, has added the collection of DIC samples to several of its sampling sites. This has added to the current data sets from these locations and offers a broader understanding of ocean acidification in Prince William Sound and Lower Cook Inlet. The Prince William Sound Science Center (PWSSC) and the Kachemak Bay National Estuarine Research Reserve (KBNERR) are current partners in the Gulf Watch program and routinely conduct marine (vessel-based) sampling transects on a time series. The cost to sample and process DIC samples ($34,323 per year) is the only additional cost to the PWSSC and KBNERR existing programs and would go directly to CRRC.
DOI: 10.5517/ccdc.csd.cc2dnkbz
title: CCDC 2224291: Experimental Crystal Structure Determination

description: Related Article: Jiang Nan, Xin Ren, Qiang Yan, Shilei Liu, Jing Wang, Yangmin Ma, Michal Szostak|2023|Chemical Science|14|3338|doi:10.1039/D3SC00301A
description: Related Article: Xin Ren|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dnfh0
title: CCDC 2224172: Experimental Crystal Structure Determination

description: Related Article: Olga A. Storozhenko, Alexey A. Festa, Leonid G. Voskressensky, Victor B. Rybakov|2022|CSD Communication|||
description: Related Article: Olga A. Storozhenko, Alexey A. Festa, Valeria A. Zolotareva, Victor B. Rybakov̂, Alexey V. Varlamov, Leonid G. Voskressensky|2023|Org.Lett.|25|438|doi:10.1021/acs.orglett.2c04214
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7281/t1154f09/qnmddx
title: 1A_MatLab_code_for_experiments_dataoutput_movies.zip

description: MatLab codes used to produce: 1) video and experimental results in download File 1, 2) testing thermodynamic system size effects, and 3) video for File 3. (c.f. Sec. 1, Supplemental Info & Figs 1-3. See readme file if reproducing movies from code).
DOI: 10.7281/t1154f09/vyhx95
title: 1_Thermodynamic_sys_size_microscopy_experiments.zip

description: Video files showing video microscopy of experimental results (see sec 1, supplemental info & Fig. 1) testing thermodynamic system size effects. Includes Fig 1 movies in Widows Media video format (.wmv) and MJPG format & individual frame capture snapshots used in publication.