cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/pggt4n
title: Replication Data for: Turn On, Tune In, Turn Out: Ethnic Radio and Immigrants' Political Engagement

description: Does the ethnic media promote the political engagement of minority ethnic immigrants? This is a salient question in Western democracies, where the political incorporation of immigrants is a continuous challenge. Prevailing accounts place the media as a primary cause of growing public disengagement. In contrast, this article argues that the entry of community-centered ethnic media can increase immigrants’ political engagement by changing their informational environment and their representation in media and state institutions. In 2004 the UK Parliament enacted the Community Radio Order to allow the licensing of community radio stations. Leveraging the introduction of this law and geographical variation in the distribution of licenses with a difference-in-differences approach, this article shows that the exposure of minority ethnic immigrants to radio programming targeted at their community substantively increases their turnout in local elections. The results suggest that immigrants’ participation in politics is stimulated by accommodating diversity within common institutions.
description: This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. 
<br>
 
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science. 
<br>


<br>
Open Materials Badge
DOI: 10.15468/dl.pngan6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Viet Nam, Cambodia, Indonesia, Nepal, Philippines, Malaysia, Chinese Taipei, Bangladesh, Lao People’s Democratic Republic, Thailand, Bhutan)",
 "Geometry POLYGON((100.46083 18.47918,160.53917 18.47918,160.53917 42.52082,100.46083 42.52082,100.46083 18.47918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artemisia fukudo Makino"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008885-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fue323
title: Occurrence Download

description: A dataset containing 4090606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orthosia cerasi Fabricius, 1775, Rhogogaster punctulata (Klug, 1817), Nucifraga caryocatactes (Linnaeus, 1758), Plagiosterna aenea (Linnaeus, 1758), Glis glis (Linnaeus, 1766), Tenthredo livida Linnaeus, 1758, Corylus avellana L., Lathraea squamaria L., Viscum album subsp. album, Encoelia furfuracea (Roth) P.Karst., Anguillosporella vermiformis (Davis) U.Braun, Pucciniastrum coryli Kom., Phyllosticta coryli Westend., Taphrina coryli Nishida, Cheilaria coryli Roberge ex Desm., Asteroma coryli (Fuckel) B.Sutton, Piggotia coryli (Roberge ex Desm.) B.Sutton, Neofabraea malicorticis (Cordley) H.S.Jacks., Cytospora pinastri Fr., Xanthomonas arboricola_C, Mamianiella coryli (Batsch) Höhn., Neonectria ditissima (Tul. & C.Tul.) Samuels & Rossman, Phytoptus avellanae Nalepa, 1889, Quambalaria coyrecup Paap, Kahaono wallacei Evans, 1966, Megachile tosticauda Cockerell, 1912, Purpureicephalus spurius (Kuhl, 1820), Lipotriches flavoviridis (Cockerell, 1905), Zanda baudinii (Lear, 1832), Calyptorhynchus banksii naso Gould, 1837, Calyptorhynchus banksii (Latham, 1790), Thaumastocoris slateri Noack, Cassis & Rose, 2011, Thaumastocoris safordi Noack, Cassis & Rose, 2011, Sabulodes atropesaria Walker, 1860, Strepsicrates ejectana (Walker, 1863), Philemon corniculatus (Latham, 1790), Epichrysocharis burwelli Schauff, 2000, Uraba lugens Walker, 1863, Aporocera iridipennis, Doratifera vulnerans (Lewin, 1805), Dispar compacta (Butler, 1882), Leioproctus amabilis (Smith, 1879), Dryobates nuttallii (Gambel, 1843), Setophaga nigrescens (J.K.Townsend, 1837), Physopelta gutta famelica Stål, 1863, Panacela lewinae Lewin, 1807, Thysiarcha ecclesiastis (Meyrick, 1887), Coelocyba nigrocincta Ashmead, 1900, Pterygogramma postmarginale Girault, 1929, Coccophagus triguttatus Girault, 1915)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4090606 records from 4685 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008851-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.4031
title: CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 HighResMIP highresSST-future

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.HighResMIP.CNRM-CERFACS.CNRM-CM6-1.highresSST-future' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CNRM-CM6-1 climate model, released in 2017, includes the following components:
 aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. 
The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.3907
title: CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 GeoMIP G6sulfur

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.GeoMIP.CNRM-CERFACS.CNRM-ESM2-1.G6sulfur' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CNRM-ESM2-1 climate model, released in 2017, includes the following components:
 aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. 
The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.6084/m9.figshare.28852547.v1
title: R025e - Conjunction Fallacy 2-lever Choice Procedure in Rats

description: Combined data for R025e - Conjunction fallacy task using a two-lever choice procedure. Data includes training, test, and retraining.
DOI: 10.5281/zenodo.15545532
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529m Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529m Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15545533
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529m Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529m Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.ptjdze
title: Occurrence Download

description: A dataset containing 3540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Platycarya strobilacea Siebold & Zucc."
 ]
}

 The dataset includes 3540 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006723-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00011411
title: Data Challenge - ECOFFs and clinical breakpoints

description: Minimum inhibitory concentrations (MIC) indicate the concentration of a specific antibiotic required to prevent the growth of a specific bacteria in vitro. To determine whether a bacteria is labelled as antibiotic-resistant or sensitive, MIC values are then compared to clinical breakpoints, such as the ones provided by EUCAST. The use of clinical breakpoints is currently common practice for epidemiological analyses of AMR in humans. However, these breakpoints can depend on the treatment regimen and vary over time. Hence, their use can introduce artificial trends in regional and temporal resistance levels.
Instead, EUCAST encourages the use of ecological cutoff values (ECOFFs) for AMR surveillance. ECOFFs distinguish between wild-type bacteria and bacteria with acquired resistance to a specific antibiotic, do not vary over time once established, and are independent from the origin of isolates (human or animal). In this project, we aim to investigate whether the use of ECOFFs instead of clinical breakpoints can affect AMR trends and resistance monitoring.
Industry-generated AMR datasets provide the opportunity to answer this question by presenting MIC values for multiple bacteria, antibiotics, countries and years. Using our team’s expertise in analysing and combining these datasets, we will focus on eight pathogens of public health interest (Streptococcus pneumoniae, Staphylococcus aureus, Enterococcus faecalis, Enterococcus faecium, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter spp). We will use either ECOFFs or clinical breakpoints to convert MICs to susceptibility labels, and apply statistical tests and regression methods to compare resulting AMR trends. This will reinforce public health practice by providing a clear example of the usefulness of ECOFFs, alongside an open-source analysis to facilitate their use. We further hope that, in the context of One Health approaches, this work will serve as a basis to improve comparability between different health systems, since ECOFFs are applicable to both humans and animals.
DOI: 10.15468/dl.jghqnv
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Ecdyonurus torrentis Kimmins, 1942"
 ]
}

 The dataset includes 447 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003339-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/kdsv4-c9196
title: Coxiella_ Verocells_28dpi

description: Coxiella burnetii Nine Mile phase II clone 4 (NMIIC4) strain. Coxiella cells purified from infected Vero cells.
description: <strong>Tilt Series Date:</strong> 2017-10-19</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Coxiella burnetii</p>
<strong>Strain:</strong> Nine Mile phase II clone 4</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -7.0 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 Heinzen. Data collected and processed by Debnath Ghosal and Mohammed Kaplan using Caltech tomography pipeline.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Refer to Heinzen lab.</p>
<strong>Sample Preparation:</strong> Freezing: 100% humidity, 4µl sample, Blot force 6, blot time 4 sec. Wait time 0 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/dga2017-10-19-95/rawdata/</p>Cb_vero_20171019b0092.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-10-19-95/rawdata/Cb_vero_20171019b0092.mrc"
        > <i class="download icon"></i> Download </a></p>

        Cb_vero_20171019b0092_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/dga2017-10-19-95/3dimage_89625/Cb_vero_20171019b0092_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.57760/sciencedb.27114
title: Deep learning model for defect detection in concrete structures
title: Deep learning model for defect detection in concrete structures

description: This dataset supports the ​​peer-reviewed paper "Real-time defect detection in concrete structures using attention-based deep learning and GPR imaging". It includes the deep learning models proposed and utilized in the paper.This is a pre-publication version. Updated metadata will follow acceptance.
description: This dataset supports the ​​peer-reviewed paper "Real-time defect detection in concrete structures using attention-based deep learning and GPR imaging". It includes the deep learning models proposed and utilized in the paper.This is a pre-publication version. Updated metadata will follow acceptance.
DOI: 10.22002/7jt2s-5qm43
title: V.cholerae

description: This was imaged to study Yi-wei Msh in V.cholerae. This strain expresses Msh pilus but not any other pili.
description: <strong>Tilt Series Date:</strong> 2017-01-06</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> O1 biovar El Tor</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, 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> Yi-wei</p>
<strong>Purification / Growth Conditions / Treatment:</strong> growth and freezing conditions: pg 95-97 in notebook. next time for vitrobot use: 6, 2.5, 1. 3.5 and 4 ul sample volume</p>
<strong>Sample Preparation:</strong> single tilt. constant angular increment, step: 1.0. tilt range: -60, 60.         dosage: 160e/A2. defocus: -6um. magnification: 27500.</p>
  psa2017-01-06-24_slicer17799.jpg: coated vesicle? psa2017-01-06-24_slicer17800.jpg: strands? psa2017-01-06-24_slicer17801.jpg: strands? psa2017-01-06-24_slicer17802.jpg: coated vesicle
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2017-01-06-24/3dimage_80120/</p>atlas50002_part121_17.rec,  Reconstruction (Pixel Size 1.56 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2017-01-06-24/3dimage_80120/atlas50002_part121_17.rec"
        > <i class="download icon"></i> Download </a></p>

        atlas50002.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/psa2017-01-06-24/rawdata/atlas50002.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/tzwp3-4fn35
title: Lp02-fixed

description: WT Lp02 cells were fixed with GA and re-suspended in  PBS.
description: <strong>Tilt Series Date:</strong> 2017-11-21</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 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> Joelle Gabay and Howard Shuman prepared samples, Debnath Ghosal collected data.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Shuman Lab</p>
<strong>Sample Preparation:</strong> 6 grids were frozen, cell density was increased to 2x by centrifugation. Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4.5 sec. Wait time 0 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/dga2017-11-21-57/rawdata/</p>Legionella_fixed_20171121a0049.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-11-21-57/rawdata/Legionella_fixed_20171121a0049.mrc"
        > <i class="download icon"></i> Download </a></p>

        Legionella_fixed_20171121a0049_part61_11.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/dga2017-11-21-57/3dimage_90512/Legionella_fixed_20171121a0049_part61_11.rec"
        > <i class="download icon"></i> Download </a></p>