cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/3tck1-wzh29
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-09-06</p>
<strong>Data Taken By:</strong> Jun Zhang</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 2°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 41000x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/jza2018-09-06-103/rawdata/</p>JV9264_B32.mrc,  Tilt Series (Pixel Size 0.2654 nm), 1.5 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/jza2018-09-06-103/rawdata/JV9264_B32.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9264_B32_full.rec,  Reconstruction (Pixel Size 1.0616 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/jza2018-09-06-103/3dimage_97988/JV9264_B32_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.gttuqy
title: Occurrence Download

description: A dataset containing 3155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arctium minus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3155 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037760-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/1n7ad-4pz31
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-07-25</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 2°, constant angular increment, dosage: 170.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-07-25-52/rawdata/</p>Fjon4_48.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/gca2018-07-25-52/rawdata/Fjon4_48.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjon4_48_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/1qhgr-vtw61
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-10-22</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-55.0°, 55.0°), step: 1°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-81/rawdata/</p>Fjoh1_41.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-81/rawdata/Fjoh1_41.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjoh1_41_full.rec,  Reconstruction (Pixel Size 1.56 nm), 267.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-81/3dimage_98327/Fjoh1_41_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/6vrsa-n6m27
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-09-06</p>
<strong>Data Taken By:</strong> Jun Zhang</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 2°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 41000x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/jza2018-09-06-115/rawdata/</p>JV9264_B43.mrc,  Tilt Series (Pixel Size 0.2654 nm), 1.5 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/jza2018-09-06-115/rawdata/JV9264_B43.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9264_B43_full.rec,  Reconstruction (Pixel Size 1.0616 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/jza2018-09-06-115/3dimage_98008/JV9264_B43_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/tqq3v-rdg81
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-12-06</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -9.0 μm,  magnification: 26000x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-12-06-14/rawdata/</p>conjugation23.mrc,  Tilt Series (Pixel Size 0.53 nm), 1.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-12-06-14/rawdata/conjugation23.mrc"
        > <i class="download icon"></i> Download </a></p>

        conjugation23_full.rec,  Reconstruction (Pixel Size 2.12 nm), 445.4 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/npmqa-vwn76
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-12-07</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -9.0 μm,  magnification: 26000x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-12-07-105/rawdata/</p>conjugationP.mrc,  Tilt Series (Pixel Size 0.53 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-12-07-105/rawdata/conjugationP.mrc"
        > <i class="download icon"></i> Download </a></p>

        conjugationP_full.rec,  Reconstruction (Pixel Size 2.12 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-12-07-105/3dimage_99119/conjugationP_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.nfuukk
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oryza eichingeri"
 ]
}

 The dataset includes 519 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037761-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/n4a0z-2nz84
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-11-08</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-57.0°, 57.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-29/rawdata/</p>Fjoh3_42.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-29/rawdata/Fjoh3_42.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjoh3_42_full.rec,  Reconstruction (Pixel Size 1.56 nm), 267.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-29/3dimage_98485/Fjoh3_42_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/0qxk2-h9f15
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-07-25</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 2°, constant angular increment, dosage: 170.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-07-25-8/rawdata/</p>Fjon4_04.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.8 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-07-25-8/rawdata/Fjon4_04.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjon4_04_full.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/gca2018-07-25-8/3dimage_93746/Fjon4_04_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.dgnmrs
title: Occurrence Download

description: A dataset containing 810 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terminalia muelleri"
 ]
}

 The dataset includes 810 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037762-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10777339
title: Data for: Assessing the impact of climate change and population dynamics on heatstroke incidence in Saitama City, Japan
DOI: 10.15468/dl.3cq33m
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Centruroides ornatus Pocock, 1902"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006071-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axt9z5
title: Occurrence Download

description: A dataset containing 35216115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35216115 records from 3896 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006060-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e227659v1
title: Realizing Equity, Access, and Community Health ACOs

description: The Accountable Care Organization Realizing Equity, Access, and Community Health (ACO REACH) Model dataset provides overview information on REACH ACOs including their name, number of years in the program, and contact information of key personnel. DISCLAIMER: This information is current as of the last update. Changes to ACO information occur periodically. Each ACO has the most up-to-date information about their organization. Consider contacting the ACO for the latest information.<br><br>Model OverviewThe ACO REACH Model provides novel tools and resources for health care providers to work together in an ACO to improve the quality of care for people with Traditional Medicare. REACH ACOs are comprised of different types of providers, including primary and specialty care physicians.The ACO REACH Model makes important changes to the previous Global and Professional Direct Contracting (GPDC) Model which include: <br> Promote Provider Leadership and Governance. The ACO REACH Model includes policies to ensure doctors and other health care providers continue to play a primary role in accountable care. At least 75% control of each ACO's governing body generally must be held by participating providers or their designated representatives, compared to 25% during the first two Performance Years of the GPDC Model. In addition, the ACO REACH Model goes beyond prior ACO initiatives by requiring at least two beneficiary advocates on the governing board (at least one Medicare beneficiary and at least one consumer advocate), both of whom must hold voting rights. <br> Protect Beneficiaries and the Model with More Participant Vetting, Monitoring and Greater Transparency. CMS will ask for additional information on applicants’ ownership, leadership, and governing board to gain better visibility into ownership interests and affiliations to ensure participants’ interests align with CMS’s vision. We will employ increased up-front screening of applicants, robust monitoring of participants, and greater transparency into the model’s progress during implementation, even before final evaluation results, and will share more information on the participants and their work to improve care. Last, CMS will also explore stronger protections against inappropriate coding and risk score growth. Resources for Using and Understanding the DataThis dataset is based on information submitted by ACOs via the 4innovation (4i) System and obtained by CMS during the application review process. Within this data, users can access overview information about REACH ACOs.
DOI: 10.3886/e227659
title: Realizing Equity, Access, and Community Health ACOs

description: The Accountable Care Organization Realizing Equity, Access, and Community Health (ACO REACH) Model dataset provides overview information on REACH ACOs including their name, number of years in the program, and contact information of key personnel. DISCLAIMER: This information is current as of the last update. Changes to ACO information occur periodically. Each ACO has the most up-to-date information about their organization. Consider contacting the ACO for the latest information.<br><br>Model OverviewThe ACO REACH Model provides novel tools and resources for health care providers to work together in an ACO to improve the quality of care for people with Traditional Medicare. REACH ACOs are comprised of different types of providers, including primary and specialty care physicians.The ACO REACH Model makes important changes to the previous Global and Professional Direct Contracting (GPDC) Model which include: <br> Promote Provider Leadership and Governance. The ACO REACH Model includes policies to ensure doctors and other health care providers continue to play a primary role in accountable care. At least 75% control of each ACO's governing body generally must be held by participating providers or their designated representatives, compared to 25% during the first two Performance Years of the GPDC Model. In addition, the ACO REACH Model goes beyond prior ACO initiatives by requiring at least two beneficiary advocates on the governing board (at least one Medicare beneficiary and at least one consumer advocate), both of whom must hold voting rights. <br> Protect Beneficiaries and the Model with More Participant Vetting, Monitoring and Greater Transparency. CMS will ask for additional information on applicants’ ownership, leadership, and governing board to gain better visibility into ownership interests and affiliations to ensure participants’ interests align with CMS’s vision. We will employ increased up-front screening of applicants, robust monitoring of participants, and greater transparency into the model’s progress during implementation, even before final evaluation results, and will share more information on the participants and their work to improve care. Last, CMS will also explore stronger protections against inappropriate coding and risk score growth. Resources for Using and Understanding the DataThis dataset is based on information submitted by ACOs via the 4innovation (4i) System and obtained by CMS during the application review process. Within this data, users can access overview information about REACH ACOs.
DOI: 10.3886/e227659v2
title: Realizing Equity, Access, and Community Health ACOs

description: The Accountable Care Organization Realizing Equity, Access, and Community Health (ACO REACH) Model dataset provides overview information on REACH ACOs including their name, number of years in the program, and contact information of key personnel. DISCLAIMER: This information is current as of the last update. Changes to ACO information occur periodically. Each ACO has the most up-to-date information about their organization. Consider contacting the ACO for the latest information.<br><br>Model OverviewThe ACO REACH Model provides novel tools and resources for health care providers to work together in an ACO to improve the quality of care for people with Traditional Medicare. REACH ACOs are comprised of different types of providers, including primary and specialty care physicians.The ACO REACH Model makes important changes to the previous Global and Professional Direct Contracting (GPDC) Model which include: <br> Promote Provider Leadership and Governance. The ACO REACH Model includes policies to ensure doctors and other health care providers continue to play a primary role in accountable care. At least 75% control of each ACO's governing body generally must be held by participating providers or their designated representatives, compared to 25% during the first two Performance Years of the GPDC Model. In addition, the ACO REACH Model goes beyond prior ACO initiatives by requiring at least two beneficiary advocates on the governing board (at least one Medicare beneficiary and at least one consumer advocate), both of whom must hold voting rights. <br> Protect Beneficiaries and the Model with More Participant Vetting, Monitoring and Greater Transparency. CMS will ask for additional information on applicants’ ownership, leadership, and governing board to gain better visibility into ownership interests and affiliations to ensure participants’ interests align with CMS’s vision. We will employ increased up-front screening of applicants, robust monitoring of participants, and greater transparency into the model’s progress during implementation, even before final evaluation results, and will share more information on the participants and their work to improve care. Last, CMS will also explore stronger protections against inappropriate coding and risk score growth. Resources for Using and Understanding the DataThis dataset is based on information submitted by ACOs via the 4innovation (4i) System and obtained by CMS during the application review process. Within this data, users can access overview information about REACH ACOs.
DOI: 10.5281/zenodo.18241360
title: Quantifying the Impacts of COVID-19 and the Russia-Ukraine War on Global Aviation Emissions within a Polycrisis Framework
DOI: 10.5281/zenodo.18241359
title: Quantifying the Impacts of COVID-19 and the Russia-Ukraine War on Global Aviation Emissions within a Polycrisis Framework
DOI: 10.15468/dl.6wtrqf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"CHN.23.11_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011499-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18255295
title: Dataset for: Biological welding enables rapid and efficient bladder cystotomy closure and reveals the underlying repair mechanism

description: This dataset contains the processed gene expression count matrix (RNA-seq) generated for the study "Biological welding enables rapid and efficient bladder cystotomy closure".Due to archival hardware failure, the raw sequencing data (Fastq) generated in 2017 are no longer available. This repository provides the processed Read Count Matrix, which is sufficient to reproduce the differential expression analysis presented in the manuscript (Figures 7-10).Experimental Design:Organism:Canis lupus familiaris (Beagle dogs).Sample Prep: Total RNA was extracted from pooled bladder tissue samples (n=3 biological replicates pooled per library).Groups included in this dataset:1. Normal: Untreated/Normal bladder tissue (Baseline).2. Control: Traditional Suturing group (1 week, 4 weeks, 12 weeks post-operation).3. Welding: Biological Welding group (1 week, 4 weeks, 12 weeks post-operation).
DOI: 10.5281/zenodo.18255296
title: Dataset for: Biological welding enables rapid and efficient bladder cystotomy closure and reveals the underlying repair mechanism

description: This dataset contains the processed gene expression count matrix (RNA-seq) generated for the study "Biological welding enables rapid and efficient bladder cystotomy closure".Due to archival hardware failure, the raw sequencing data (Fastq) generated in 2017 are no longer available. This repository provides the processed Read Count Matrix, which is sufficient to reproduce the differential expression analysis presented in the manuscript (Figures 7-10).Experimental Design:Organism:Canis lupus familiaris (Beagle dogs).Sample Prep: Total RNA was extracted from pooled bladder tissue samples (n=3 biological replicates pooled per library).Groups included in this dataset:1. Normal: Untreated/Normal bladder tissue (Baseline).2. Control: Traditional Suturing group (1 week, 4 weeks, 12 weeks post-operation).3. Welding: Biological Welding group (1 week, 4 weeks, 12 weeks post-operation).