cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/1j4bx-0p345
title: Thermococcus koakarensis

description: Imaging Thermococcus koakarensis flagella
description: <strong>Tilt Series Date:</strong> 2016-08-25</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Thermococcus kodakarensis</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Robert Gunsalus, UCLA. Data collected and processed by Kiwoo and Debnath Ghosal</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Standard Tk medium with starch and sulfur</p>
<strong>Sample Preparation:</strong> 8 grids were frozen for the this strain. Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3.5 sec. Wait time 8 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-16/rawdata/</p>Tk_250820160016.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-16/rawdata/Tk_250820160016.mrc"
        > <i class="download icon"></i> Download </a></p>

        Tk_250820160016_full.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-16/3dimage_78597/Tk_250820160016_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/ra3gt-9w962
title: S. cerevisiae - 6210 + pAM21

description: Raw data files of S. cerevisiae - 6210 + pAM21
description: <strong>Tilt Series Date:</strong> 2016-10-07</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -6.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Babst Lab (Markus Babst and Akshay Moharir) - Provided strain with the plasmid transformed.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> 6210 + pAM21(Vps36-V5-Strep in Ura plasmid). Grown to saturation overnight and cut back to 0.2 OD and grown until 0.6 OD. Media -> -URA YNB</p>
<strong>Sample Preparation:</strong> Pull down of P13 fraction using Dynabeads® M-280 Streptavidin from 5801D trial kit. IN fraction (Input fraction for Dynabeads - see Jensen Lab Protocols page 14).</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-10-07-27/rawdata/</p>IN_TS25.mrc,  Tilt Series (Pixel Size 0.48 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-10-07-27/rawdata/IN_TS25.mrc"
        > <i class="download icon"></i> Download </a></p>

        IN_TS25_4bin_DB.rec,  Reconstruction (Pixel Size 0.0 nm), 202.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-10-07-27/3dimage_81433/IN_TS25_4bin_DB.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/7cq6v-3tq03
title: M. xanthus knockout minor pilins

description: Grid box YWC130Strain SA6815
description: <strong>Tilt Series Date:</strong> 2015-04-26</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Myxococcus xanthus</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain form Lotte Sogaard-Andersen</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown 2 days in 220 rpm shaking CTT medium at 30 degrees without antibiotics. OD600=0.8</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 3µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 2.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-26-22/rawdata/</p>20150426_YWC130_10028.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-26-22/rawdata/20150426_YWC130_10028.mrc"
        > <i class="download icon"></i> Download </a></p>

        20150426_YWC130_10028.rec,  Reconstruction (Pixel Size 1.56 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-26-22/3dimage_54892/20150426_YWC130_10028.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/0nvbs-4q357
title: M. xanthus knockout minor pilins

description: Grid box YWC130Strain SA6815
description: <strong>Tilt Series Date:</strong> 2015-04-26</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Myxococcus xanthus</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain form Lotte Sogaard-Andersen</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown 2 days in 220 rpm shaking CTT medium at 30 degrees without antibiotics. OD600=0.8</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 3µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 2.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-26-63/rawdata/</p>20150426_YWC130_20006.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-26-63/rawdata/20150426_YWC130_20006.mrc"
        > <i class="download icon"></i> Download </a></p>

        20150426_YWC130_20006_part121_15.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-26-63/3dimage_54967/20150426_YWC130_20006_part121_15.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/zpq10-2tx36
title: Thermococcus kodakarensis

description: flagella
description: <strong>Tilt Series Date:</strong> 2016-08-25</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Thermococcus kodakarensis</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> Undefined</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Robert Gunsalus, UCLA. Data collected and processed by Ki Woo Kim and Debnath Ghosal</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in standard Tk medium with starch and sulfur for one day.</p>
<strong>Sample Preparation:</strong> 8 grids were frozen for the Tk strain. Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3.5 sec. Wait time 8 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-41/rawdata/</p>Tk_250820160041.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-41/rawdata/Tk_250820160041.mrc"
        > <i class="download icon"></i> Download </a></p>

        Tk_250820160041_full.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-41/3dimage_78644/Tk_250820160041_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.25582/data.2024-04.3096529/2561996
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096530/2561997
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096531/2561998
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096532/2561999
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096533/2562000
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096534/2562001
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096536/2562002
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096538/2562003
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096539/2562004
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096540/2562005
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3096541/2562006
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.17650954
title: SPCI1D

description: This repository contains raw data files and source code to obtain the plots included in the paper (1+1)-Dimensional Schrödinger-Poisson equation with contact interaction. Source code was written in Jupyter Notebook files using the programing language Julia.
DOI: 10.5281/zenodo.17650955
title: SPCI1D

description: This repository contains raw data files and source code to obtain the plots included in the paper (1+1)-Dimensional Schrödinger-Poisson equation with contact interaction. Source code was written in Jupyter Notebook files using the programing language Julia.
DOI: 10.5518/326
title: Dataset associated with 'Patient-specific parameterised cam geometry in finite element models of femoroacetabular impingement of the hip'

description: This dataset contains an excel sheet with the raw results data from models found in the associated paper. A Python script used to generate the models with Abaqus is also included, as well as an example Abaqus output file. A Matlab script provides the ability to generate parameters for models based on desired cam severities.
DOI: 10.34740/kaggle/dsv/13793248
title: India Job Market & Salary Trends Dataset
DOI: 10.5285/7d09c677-134f-49ae-8128-6bc00784967a
title: Electrical Resistivity Tomography (ERT) measurements over UK farmlands, April-September 2021

description: Repeat electrical resistivity tomography (ERT) measurements were conducted over four sites to capture the changing resistivity of the soil throughout the agricultural growing season, with measurements taken in Spring, Summer, and Autumn to detect the change between the construction, production, and post-harvest stages of the crop. Initial measurements were undertaken in April/May, Summer measurements in June/July, and final measurements in September 2021. 
description: For each detailed survey location, a single 19m ERT transect was positioned with 96 electrodes spaced at 20cm intervals using a Campus Tigre system. The surveys were collected using a Wenner Array to collect data through the subsurface at sufficient vertical and horizontal resolutions. Each traverse collected approx. 660 apparent resistivity readings of the subsurface down to around 1m bgl. Data was collected in the field using ImagerPro2006.
DOI: 10.15468/dl.pazjpb
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vulpia microstachys",
 "HasCoordinate is true"
 ]
}

 The dataset includes 923 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045411-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkzuf5
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-113.0688 28.49913, -112.9188 28.49913, -112.9188 28.64913, -113.0688 28.64913, -113.0688 28.49913))"
 ]
}

 The dataset includes 104 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045412-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw83tf
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trichechus manatus"
 ]
}

 The dataset includes 211 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045410-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13xzcba
title: Earthquake Magnitude Conversion and Sensitivity Catalogs for the Central and Eastern United States

description: Earthquake catalogs are essential data inputs for seismic hazard modeling. Because earthquake magnitudes are reported in a variety of types (e.g., local magnitudes, moment magnitudes), magnitude conversion relationships must be used to convert the different magnitude types present in a catalog to a uniform magnitude type to avoid biases in the hazard computation. However, these conversion relationships are often uncertain and have been shown to sometimes perform poorly. In a corresponding journal publication, we investigate the sensitivity of the gridded seismicity component of the U.S. Geological Survey National Seismic Hazard Model (NSHM) to the catalog conversion equations in the eastern United States. In the 2023 NSHM, magnitudes of various types were converted to moment magnitudes using equations developed by the Central and Eastern United States Seismic Source Characterization for Nuclear Facilities (CEUS-SSCn; U.S. Department of Energy and others, 2012), based on least squares regressions made using data from a catalog containing events up through 2008. We recompute these equations using events in the Advanced National Seismic System Comprehensive Earthquake Catalog (U.S. Geological Survey Earthquake Hazards Program, 2017) with multiple magnitudes from 2000 through 2023 using orthogonal regression methods, which account for uncertainties in both dependent and independent regression variables (observed moment magnitude and alternative magnitude type, respectively). In some cases, we find large differences between the CEUS-SSCn conversion and the newly computed ones, especially at smaller magnitudes. We compare the spatial distribution of annual rates using three different models: 1) the 2023 NSHM conversions, 2) our updated conversions, and 3) no conversions. We find that the choice of conversions leads to substantial differences in the rate forecasts, which can greatly impact the seismic hazard model, particularly in regions with low seismicity rates like the eastern U.S. where the hazard is dominated by gridded seismicity rather than a fault model.

This data release includes seismicity catalogs used by Llenos and others (2025) to (1) compute new magnitude conversion equations and (2) perform a gridded seismicity sensitivity analysis.

References

Llenos, A.L., Shelly, D.R., and Shumway, A.M., 2025, Magnitude conversion relations create substantial differences in seismic hazard models: Seismological Research Letters, https://doi.org/10.1785/0220250231.

U.S. Geological Survey, Earthquake Hazards Program, 2017, Advanced National Seismic System Comprehensive Catalog of Earthquake Events and Products: U.S. Geological Survey data release, https://doi.org/10.5066/F7MS3QZH.

U.S. Department of Energy, Electric Power Research Institute, and U.S. Nuclear Regulatory Commission, 2012, Central and Eastern United States Seismic Source Characterization for Nuclear Facilities: NUREG-2115, 6 volumes, 3798 p.
DOI: 10.15468/dl.uc4s86
title: Occurrence Download

description: A dataset containing 2315918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "Geometry POLYGON((4.77494 46.03384,4.83895 44.51748,5.63549 44.44507,6.86651 44.43602,6.56328 46.36854,5.81319 46.39638,4.77494 46.03384))",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 2315918 records from 522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045372-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17651131
title: Anonymized Dataset for Mesh-Free Laparoscopic Sacrohysteropexy Outcomes (POP-Q and PISQ-12 Data)

description: This anonymized dataset includes demographic variables (age, BMI, parity), operative outcomes (operative time, estimated blood loss), POP-Q measurements, and PISQ-12 sexual function scores collected during the prospective clinical study titled “Early Outcomes of a Novel Mesh-Free Laparoscopic Sacrohysteropexy Combined with High Uterosacral Ligament Plication Technique for Uterine Prolapse.”

The dataset contains no identifiable patient information and fully complies with ethical standards and confidentiality requirements. It is provided to support transparency, reproducibility, and secondary analysis of the findings reported in the associated manuscript.
DOI: 10.5281/zenodo.17651130
title: Anonymized Dataset for Mesh-Free Laparoscopic Sacrohysteropexy Outcomes (POP-Q and PISQ-12 Data)

description: This anonymized dataset includes demographic variables (age, BMI, parity), operative outcomes (operative time, estimated blood loss), POP-Q measurements, and PISQ-12 sexual function scores collected during the prospective clinical study titled “Early Outcomes of a Novel Mesh-Free Laparoscopic Sacrohysteropexy Combined with High Uterosacral Ligament Plication Technique for Uterine Prolapse.”

The dataset contains no identifiable patient information and fully complies with ethical standards and confidentiality requirements. It is provided to support transparency, reproducibility, and secondary analysis of the findings reported in the associated manuscript.
DOI: 10.5285/ec921bc2-5538-47ed-9e72-0d687b4ca4d3
title: UK maps of habitat suitability surfaces at 1km resolution for mammals, lichens, bryophytes, plants and invertebrates 2000-2015

description: The dataset comprises one 1km habitat suitability surface for each of 5073 species of vascular plant, mammal, bryophyte, lichen, insect and non-insect invertebrate. The outputs are provided as .asc files denoting habitat suitability at a spatial resolution of 1km. The map projection is OSGB 1936 (EPSG:27700).
description: The habitat suitability surfaces represent the average predictions from three species distribution modelling algorithms. The models were fitted to opportunistically collected species occurrence data. Predictors include 25 land cover, climate and topographic covariates.
DOI: 10.5281/zenodo.15754791
title: Digital Inventory of Swiss Construction Systems (DISCS)

description: The Digital Inventory for Swiss Construction Systems is a database structure that provides detailed information on component attributes in as-built load-bearing and insulating layers of existing buildings. The first version of the dataset provides granular data for 102 buildings in Switzerland, each digitalised into a building information model and parameterised using a custom library of 78 attributes.

 

This version of the database was developed by the Structural Xploration Lab (SXL, https://sxl.epfl.ch) at the École Polytechnique Fédérale de Lausanne (EPFL).

 

The authors would like to thank all the building owners (private and public) for providing access to building data. We thank the EPFL students that contributed in processing the raw data and Maxence Grangeot and Xavier Estrella from SXL, EPFL, for their assistance in extracting the data from the 3D models.
DOI: 10.5281/zenodo.17098001
title: Digital Inventory of Swiss Construction Systems (DISCS)

description: The Digital Inventory for Swiss Construction Systems is a database structure that provides detailed information on component attributes in as-built load-bearing and insulating layers of existing buildings. The first version of the dataset provides granular data for 102 buildings in Switzerland, each digitalised into a building information model and parameterised using a custom library of 78 attributes.

 

This version of the database was developed by the Structural Xploration Lab (SXL, https://sxl.epfl.ch) at the École Polytechnique Fédérale de Lausanne (EPFL).

 

The authors would like to thank all the building owners (private and public) for providing access to building data. We thank the EPFL students that contributed in processing the raw data and Maxence Grangeot and Xavier Estrella from SXL, EPFL, for their assistance in extracting the data from the 3D models.
DOI: 10.5281/zenodo.17650557
title: Code from: Rapid establishment of waterbird prey populations in newly created wetlands

description: This data details the R code and figures for the manuscript under the preliminairy title: Rapid establishment of waterbird prey populations in newly created wetlands. This manuscript is to be submitted to Restoration Ecology for their call for papers titled: Cultivating the Living Laboratory Concept through Wetland Restoration. The dataset contains all the code in an R markdown (.Rmd) file and the compiled HTML version of the code as well as two seperate R code files for helper functions. In addition the repository contains high resolution files of all the figures for the manuscript. The data files for macroinvertebrate abundances and biomasses as well as bird counts are added as .csv files.