cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7970109
title: Eliminating Finite-size Effects on the Calculation of X-ray Scattering from Molecular Dynamics Simulations

description: Data repository for the work with the same name. Gitlab version All plots for the figures in the work can be generated via <code>plots_resubmission.ipynb</code> <code>This version is accompanying the final resubmission to JCP.</code> <code>Uses the pypi package grsq</code>
DOI: 10.5281/zenodo.7970110
title: Finite-size Effects on the Calculation of X-ray Scattering from Molecular Dynamics Simulations

description: Data repository for the work with the same name. All plots for the figures in the work can be generated via <code>plots.ipynb</code>
DOI: 10.5281/zenodo.8069984
title: Finite-size Effects on the Calculation of X-ray Scattering from Molecular Dynamics Simulations

description: Data repository for the work with the same name. All plots for the figures in the work can be generated via <code>plots.ipynb</code> <code>This version is identical to the first submission to JPC. </code>
DOI: 10.5281/zenodo.8348081
title: Eliminating Finite-size Effects on the Calculation of X-ray Scattering from Molecular Dynamics Simulations

description: Data repository for the work with the same name. Gitlab version All plots for the figures in the work can be generated via <code>plots_resubmission.ipynb</code> <code>This version is accompanying the final resubmission to JCP.</code> <code>Uses the pypi package grsq</code>
DOI: 10.34740/kaggle/dsv/6477083
title: International IQ
DOI: 10.6084/m9.figshare.24139029.v1
title: PRMD_scripts

description: OverviewThe Analysis Pipeline of Peak Calling in Different Plant SpeciesBuilding work environmentGet BAM formatted filesPeak calling use MACS2Peak calling use exomePeak2Annotation AnalysisCitation
DOI: 10.6084/m9.figshare.24146265
title: PRMD_tables

description: <b>Table 1. Comparison with other integrated RNA modification related databases</b><b>Table S1. MeRIP-Seq datasets information in PRMD.</b><b>Table S2. Data sources and bioinformatics workflow used tools in PRMD.</b><b>Table S3. The data sources from previous published research articles.</b><b>Table S4. Other types of RNA modifications.</b><b>Table S5. The predicted m</b><sup><strong>6</strong></sup><b>A sites for 20 species.</b><b>Table S6. The results of RMplantVar analysis.</b>
DOI: 10.6084/m9.figshare.24146265.v1
title: PRMD_tables

description: <b>Table 1. Comparison with other integrated RNA modification related databases</b><b>Table S1. MeRIP-Seq datasets information in PRMD.</b><b>Table S2. Data sources and bioinformatics workflow used tools in PRMD.</b><b>Table S3. The data sources from previous published research articles.</b><b>Table S4. Other types of RNA modifications.</b><b>Table S5. The predicted m</b><sup><strong>6</strong></sup><b>A sites for 20 species.</b><b>Table S6. The results of RMplantVar analysis.</b>
DOI: 10.6084/m9.figshare.24139029
title: PRMD_scripts

description: OverviewThe Analysis Pipeline of Peak Calling in Different Plant SpeciesBuilding work environmentGet BAM formatted filesPeak calling use MACS2Peak calling use exomePeak2Annotation AnalysisCitation
DOI: 10.6084/m9.figshare.24146337
title: 230621264_SupplementalData_HSPRT2Profiler.xls

description: Heat shock protein gene expression profiling in Chinese hamster A23 CBS I278T cells versus WT controls (n = 3 independent measurements).
DOI: 10.6084/m9.figshare.24146337.v1
title: 230621264_SupplementalData_HSPRT2Profiler.xls

description: Heat shock protein gene expression profiling in Chinese hamster A23 CBS I278T cells versus WT controls (n = 3 independent measurements).
DOI: 10.5281/zenodo.8348205
title: Maerl point data in northern Norway

description: The National Program for Mapping Biodiversity – Coast has had an aim to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. Maerl beds have not been systematically mapped, but maerl coverage has been recorded whenever maerl has been observed. Maerl has been identified in the field using underwater video cameras and GPS and coverage has been defines into one of four classes (1-single observations, 2-scarce occurrences, 3-Moderately dense, 4-Dense/dominating). For some data, coverage has not been defined, and maerl has only been recorded as a presence. Projection: WGS84 geographic. Data owner: Norwegian Institute for Water Research, NIVA, www.niva.no/en The data has been collected in northern Norway. The National Program for Mapping Biodiversity – Coast is funded by the Ministry of Trade, Industry and Fisheries and Ministry of Climate and Environment Project leader: Trine Bekkby, Norwegian Institute for Water Research. http://onlinelibrary.wiley.com/doi/10.1002/9781118496480.ch2/summary
DOI: 10.5281/zenodo.8348204
title: Maerl point data in northern Norway

description: The National Program for Mapping Biodiversity – Coast has had an aim to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. Maerl beds have not been systematically mapped, but maerl coverage has been recorded whenever maerl has been observed. Maerl has been identified in the field using underwater video cameras and GPS and coverage has been defines into one of four classes (1-single observations, 2-scarce occurrences, 3-Moderately dense, 4-Dense/dominating). For some data, coverage has not been defined, and maerl has only been recorded as a presence. Projection: WGS84 geographic. Data owner: Norwegian Institute for Water Research, NIVA, www.niva.no/en The data has been collected in northern Norway. The National Program for Mapping Biodiversity – Coast is funded by the Ministry of Trade, Industry and Fisheries and Ministry of Climate and Environment Project leader: Trine Bekkby, Norwegian Institute for Water Research. http://onlinelibrary.wiley.com/doi/10.1002/9781118496480.ch2/summary
DOI: 10.17632/b6jkn54p79.1
title: Conditions for Divorce in Poland

description: The divorce judgement fundamentally shapes the legal situation of the parties in the future. In the Polish legal system, divorce proceedings fall within the exclusive jurisdiction of the civil court; there is no legal basis for resolving a marriage through the agreement of the spouses or through administrative procedures. Article 56 of the Polish Family and Guardianship Code outlines the circumstances under which a marriage can be terminated legally. (...) adwokat dr Piotr Sobański LL.M. Zielona Góra
DOI: 10.17632/7ygx8fjc67.1
title: Laptop Brand Model Names In Urdu and English

description: "Laptop Brand Model Names Dataset in Urdu and English" is a valuable resource that contains a comprehensive list of laptop brands and their respective model names. This dataset has been meticulously compiled by extracting information from a Wikipedia page using Python libraries for web scraping, and subsequently, manually translating the brand names into Urdu.
DOI: 10.5281/zenodo.8346967
title: Spatiotemporal metabolome data from Bacillus subtilis swarm development

description: Metabolome data and associated Matlab code used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution. The Excel files AminoAcidResults.xslx and OrganicAcidResults.xlsx list raw data containing the positon and timepoints of sampling as well as metabolite concentrations given in µM. More details about these files are given in a ReadMe.txt file. The Excel file nSamples.xlsx summarizes the number of samples for each mean calculated during plotting. There are two m-files with Matlab code, which are used for plotting the metabolite data. To plot metabolite concentrations over time, open "displayData.m" and select the raw data file in lines 5 and 6. Then choose a path to save your data in line 9. Execute the Matlab script to obtain graphs.
DOI: 10.5281/zenodo.8346968
title: Spatiotemporal metabolome data from Bacillus subtilis swarm development

description: Metabolome data and associated Matlab code used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution. The Excel files AminoAcidResults.xslx and OrganicAcidResults.xlsx list raw data containing the positon and timepoints of sampling as well as metabolite concentrations given in µM. More details about these files are given in a ReadMe.txt file. The Excel file nSamples.xlsx summarizes the number of samples for each mean calculated during plotting. There are two m-files with Matlab code, which are used for plotting the metabolite data. To plot metabolite concentrations over time, open "displayData.m" and select the raw data file in lines 5 and 6. Then choose a path to save your data in line 9. Execute the Matlab script to obtain graphs.
DOI: 10.5281/zenodo.8348257
title: Spatiotemporal metabolome data from Bacillus subtilis swarm development

description: Metabolome data and associated Matlab code used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution. The Excel files AminoAcidResults.xslx and OrganicAcidResults.xlsx list raw data containing the positon and timepoints of sampling as well as metabolite concentrations given in µM. More details about these files are given in a ReadMe.txt file. The Excel file nSamples.xlsx summarizes the number of samples for each mean calculated during plotting. There are two m-files with Matlab code, which are used for plotting the metabolite data. To plot metabolite concentrations over time, open "displayData.m" and select the raw data file in lines 5 and 6. Then choose a path to save your data in line 9. Execute the Matlab script to obtain graphs.
DOI: 10.5281/zenodo.8229225
title: Three-dimensional CAD model of the robotic system used for acquiring samples from bacterial swarms

description: This CAD model shows the robotic sampling system that was used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution. The CAD model consists of 81 individual files in IPT or IAM format, which need to be loaded together into a AutoDesk Inventor to be viewed. We used AutoDesk Inventor 2021 to create and view this CAD model.
description: Use AutoDesk Inventor to open this collection of files. We used AutoDesk Inventor 2021 to create and view this CAD model.
DOI: 10.5281/zenodo.8229224
title: Three-dimensional CAD model of the robotic system used for acquiring samples from bacterial swarms

description: This CAD model shows the robotic sampling system that was used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution. The CAD model consists of 81 individual files in IPT or IAM format, which need to be loaded together into a AutoDesk Inventor to be viewed. We used AutoDesk Inventor 2021 to create and view this CAD model.
description: Use AutoDesk Inventor to open this collection of files. We used AutoDesk Inventor 2021 to create and view this CAD model.
DOI: 10.17632/tjwyvt54gt.1
title: 4-2

description: Soundscape future design
DOI: 10.17632/zgm5kyyspx.1
title: Calcium and copper isotope signatures in hydrothermal sediments as proxies for hydrothermal activity on mid-ocean ridges

description: Research data for the paper "Calcium and copper isotope signatures in hydrothermal sediments as proxies for hydrothermal activity on mid-ocean ridges" submitted to Geochimica et Cosmochimica Acta.
This dataset contains (1) a Word file containing the Ca and Cu isotope compositions of hydrothermal sediments collected from the Carlsberg Ridge, Northwest Indian Ocean; and (2) an Excel file with chemical compositions of the hydrothermal sediments.
DOI: 10.22008/fk2/tlcy4m/syntmz
title: dk456_Export2019.zip

description: DK4, DK5 and DK6, MIKESHE / MIKE Hydro modelsetup
DOI: 10.22008/fk2/tlcy4m/wt3qnx
title: dk456_Export2019.zip

description: :unav
DOI: 10.34740/kaggle/dsv/6477221
title: Indian Space Research Organization (ISRO)
DOI: 10.6084/m9.figshare.24146406
title: Explanation Files

description: Explanation files of the data files
DOI: 10.6084/m9.figshare.24146406.v1
title: Explanation Files

description: Explanation files of the data files
DOI: 10.22008/fk2/oqzprm/o01p3m
title: dk12_Export2019.zip

description: DK1 and DK2, MIKESHE / MIKE Hydro modelsetup
DOI: 10.22008/fk2/oqzprm/wmcvmw
title: dk12_Export2019.zip

description: :unav
DOI: 10.17909/g9sg-0633
title: IUE data HD 161480
DOI: 10.22008/fk2/qdybl5/c12a40
title: dk3_Export2019.zip

description: DK3, MIKESHE / MIKE Hydro modelsetup
DOI: 10.22008/fk2/qdybl5/wfut8o
title: dk3_Export2019.zip

description: :unav
DOI: 10.22008/fk2/tc4ib6/jgm4oe
title: dk7_Export2019.zip

description: DK7, MIKESHE / MIKE Hydro modelsetup
DOI: 10.22008/fk2/tc4ib6/jwfeuf
title: dk7_Export2019.zip

description: :unav
DOI: 10.5281/zenodo.8348142
title: Secondary to primary data

description: Secondary to primary data from different datasources
DOI: 10.5281/zenodo.8348141
title: Secondary to primary data

description: Secondary to primary data from different datasources
DOI: 10.5281/zenodo.8346482
title: Understanding structural and functional diversity of ATP-PPases using protein domains and functional families in CATH database

description: The dataset of AF2-predicted HUP domains with overall pLDDT &gt; 90, culled at 90% identity.
DOI: 10.5281/zenodo.8346481
title: Understanding structural and functional diversity of ATP-PPases using protein domains and functional families in CATH database

description: The dataset of AF2-predicted HUP domains with overall pLDDT &gt; 90, culled at 90% identity.
DOI: 10.6084/m9.figshare.24146304.v1
title: List of 558 Global Change Manipulative Experiments in China

description: A dataset on global change manipulative experiments in China. Information included experimental site, climate (mean annual temperature and precipitation), vegetation types, experimental treatments and manipulative magnitudes...
DOI: 10.25405/data.ncl.24050256.v1
title: GeoClassing Dataset

description: Dataset containing the images and labels for the GeoClassing data used in the CVPR NAS workshop Unseen-data challenge under the codename "Sadie"The GeoClassing dataset is comprised of 70,000 BigEarthNet samples with corresponding labels that indicate the location being captured in the image.The data is in a channels-first format with a shape of (n, 3, 64, 64) where n is the number of samples in the corresponding set (50,000 for training, 10,000 for validation, and 10,000 for testing).There are ten classes in the dataset, with 7000 examples of each, distributed evenly between the three subsets.The ten classes and corresponding numerical label are as follows:Ireland: 0,<br>Lithuania: 1,<br>Austria: 2,<br>Finland: 3,<br>Serbia: 4,<br>Belgium: 5,<br>Luxembourg: 6,<br>Kosovo: 7,<br>Switzerland: 8,<br>Portugal: 9
DOI: 10.5281/zenodo.8348250
title: PqiC assembles an octameric toroid that stabilises the outer membrane interaction of a putative inter-membrane transport system.

description: Neutron reflectometry data and custom models used to analyze this data for the article: "PqiC assembles an octameric toroid that stabilises the outer membrane interaction of a putative inter-membrane transport system." The NR data files and the custom models used to fit these using the RasCAL software are provided.
DOI: 10.5281/zenodo.8348249
title: PqiC assembles an octameric toroid that stabilises the outer membrane interaction of a putative inter-membrane transport system.

description: Neutron reflectometry data and custom models used to analyze this data for the article: "PqiC assembles an octameric toroid that stabilises the outer membrane interaction of a putative inter-membrane transport system." The NR data files and the custom models used to fit these using the RasCAL software are provided.
DOI: 10.6084/m9.figshare.24146418
title: Behavioral Data of Pike Trials

description: Behavioral Data of Pike Trials
DOI: 10.6084/m9.figshare.24146418.v1
title: Behavioral Data of Pike Trials

description: Behavioral Data of Pike Trials
DOI: 10.6084/m9.figshare.24146472
title: Raw data files for "<b>Remote Sensing-Based Analysis and Evaluation of Tidal Flats Evolution and Utilization Patterns on the Jiangsu Radial Sandbars in China</b>"

description: Codes for satellite data acquisition and tidal flats analysis in Google Earth Engine in this study
DOI: 10.6084/m9.figshare.24146472.v1
title: Raw data files for "<b>Remote Sensing-Based Analysis and Evaluation of Tidal Flats Evolution and Utilization Patterns on the Jiangsu Radial Sandbars in China</b>"

description: Codes for satellite data acquisition and tidal flats analysis in Google Earth Engine in this study
DOI: 10.5281/zenodo.8124203
title: Standard heat stress indices may not be appropriate for assessing marathons

description: Code and data supporting the manuscript "Standard heat stress indices may not be appropriate for assessing marathons". These scripts rely on some of the data being present in a certain location. But to reproduce this based on the included data, you need only run pet_calculations.py as all the data area in comrades.nc The order in which the scripts were run was: 1. get_utci.py - downloads ERA5-HEAT data<br> 2. unzip_era5_heat.sh - unzips that data<br> 3. query.py - subsets ERA5-HEAT data, and ERA5 data from CEDA<br> 4. pet_calculations.py - calculations and analysis pet_calculations.ipnb shows the results of pet_calculations.py in notebook form.
DOI: 10.5281/zenodo.8124202
title: Standard heat stress indices may not be appropriate for assessing marathons

description: Code and data supporting the manuscript "Standard heat stress indices may not be appropriate for assessing marathons". These scripts rely on some of the data being present in a certain location. But to reproduce this based on the included data, you need only run pet_calculations.py as all the data area in comrades.nc The order in which the scripts were run was: 1. get_utci.py - downloads ERA5-HEAT data<br> 2. unzip_era5_heat.sh - unzips that data<br> 3. query.py - subsets ERA5-HEAT data, and ERA5 data from CEDA<br> 4. pet_calculations.py - calculations and analysis pet_calculations.ipynb shows the results of pet_calculations.py in notebook form.
DOI: 10.5281/zenodo.8348335
title: Standard heat stress indices may not be appropriate for assessing marathons

description: Code and data supporting the manuscript "Standard heat stress indices may not be appropriate for assessing marathons". These scripts rely on some of the data being present in a certain location. But to reproduce this based on the included data, you need only run pet_calculations.py as all the data area in comrades.nc The order in which the scripts were run was: 1. get_utci.py - downloads ERA5-HEAT data<br> 2. unzip_era5_heat.sh - unzips that data<br> 3. query.py - subsets ERA5-HEAT data, and ERA5 data from CEDA<br> 4. pet_calculations.py - calculations and analysis pet_calculations.ipynb shows the results of pet_calculations.py in notebook form.
DOI: 10.5281/zenodo.8348310
title: The assessment of educational and supportive care to the infertile females undergoes In Vitro Fertilization procedure by clinical pharmacist: A Randomized Clinical Trial

description: The assessment of educational and supportive care to the infertile females undergoes In Vitro Fertilization procedure by clinical pharmacist: A Randomized Clinical Trial
DOI: 10.5281/zenodo.8348309
title: The assessment of educational and supportive care to the infertile females undergoes In Vitro Fertilization procedure by clinical pharmacist: A Randomized Clinical Trial

description: The assessment of educational and supportive care to the infertile females undergoes In Vitro Fertilization procedure by clinical pharmacist: A Randomized Clinical Trial