cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/vzmfb-3r909
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> 2017-09-25</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 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.T</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-107/rawdata/</p>Cb_vero_201709250107.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/dga2017-09-25-107/rawdata/Cb_vero_201709250107.mrc"
        > <i class="download icon"></i> Download </a></p>

        Cb_vero_201709250107_part61_7.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/dga2017-09-25-107/3dimage_88591/Cb_vero_201709250107_part61_7.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/cf1b3-8nx42
title: V. cholerae RT4236 (stationary)

description: Classical strain with ctxA deletion.Cell harbors pMT5 plasmid (inducible toxT).
description: <strong>Tilt Series Date:</strong> 2015-05-11</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> O395-N1</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 from Ronald K. Taylor</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Overnight cultures of Vibrio cholerae O395 NI pMT5 grown in LB pH 6.5, 1 mM IPTG and 100 ug/mL ampicilin</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 finder.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-05-11-58/rawdata/</p>20150511_AK07_10058.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/ycw2015-05-11-58/rawdata/20150511_AK07_10058.mrc"
        > <i class="download icon"></i> Download </a></p>

        20150511_AK07_10058_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/ycw2015-05-11-58/3dimage_56515/20150511_AK07_10058_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5517/ccdc.csd.cc2jt8vh
title: CCDC 2347997: Experimental Crystal Structure Determination

description: Related Article: Luke P. Westawker, Bailey S. Bouley, Josh Vura-Weis, Liviu M. Mirica|2025|J.Am.Chem.Soc.|147|17315|doi:10.1021/jacs.5c03770
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jvw6h
title: CCDC 2349527: Experimental Crystal Structure Determination

description: Related Article: Mohit Chourasiya, Vikrant Nawal Vikram, Papireddy Kancharla, Ruchir Kant, Narender Tadigoppula|2025|Org.Lett.|27|5170|doi:10.1021/acs.orglett.5c01328
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kxyzf
title: CCDC 2381326: Experimental Crystal Structure Determination

description: Related Article: David Gómez de Segura, Michèle Salmain, Benoît Bertrand, Julio Fernández-Cestau, Elena Lalinde, M. Teresa Moreno|2025|Inorg.Chem.|64|10243|doi:10.1021/acs.inorgchem.5c01175
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kxz0h
title: CCDC 2381327: Experimental Crystal Structure Determination

description: Related Article: David Gómez de Segura, Michèle Salmain, Benoît Bertrand, Julio Fernández-Cestau, Elena Lalinde, M. Teresa Moreno|2025|Inorg.Chem.|64|10243|doi:10.1021/acs.inorgchem.5c01175
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.qe2m8u
title: Occurrence Download

description: A dataset containing 13715 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Museo de La Salle Bogotá (BOG)"
 ]
}

 The dataset includes 13715 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006773-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.5494
title: MIROC MIROC-ES2L model output prepared for CMIP6 LUMIP deforest-globe

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.LUMIP.MIROC.MIROC-ES2L.deforest-globe' 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 MIROC-ES2L climate model, released in 2018, includes the following components:
 aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa), land: MATSIRO6.0+VISIT-e ver.1.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles, seaIce: COCO4.9. 
The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, land: 500 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: 10.22033/esgf/cmip6.5529
title: MIROC MIROC-ES2L model output prepared for CMIP6 LUMIP esm-ssp585-ssp126Lu

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.LUMIP.MIROC.MIROC-ES2L.esm-ssp585-ssp126Lu' 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 MIROC-ES2L climate model, released in 2018, includes the following components:
 aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa), land: MATSIRO6.0+VISIT-e ver.1.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles, seaIce: COCO4.9. 
The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, land: 500 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: 10.22033/esgf/cmip6.5584
title: MIROC MIROC-ES2L model output prepared for CMIP6 LUMIP hist-noLu

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.LUMIP.MIROC.MIROC-ES2L.hist-noLu' 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 MIROC-ES2L climate model, released in 2018, includes the following components:
 aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T42; 128 x 64 longitude/latitude; 40 levels; top level 3 hPa), land: MATSIRO6.0+VISIT-e ver.1.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), ocnBgchem: OECO ver.2.0; NPZD-type with C/N/P/Fe/O cycles, seaIce: COCO4.9. 
The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 500 km, atmos: 500 km, land: 500 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.29168402
title: Salk Institue data

description: Sepsis is a life-threatening condition caused by an inappropriate host response to an infection that can lead to multi-organ failure and death. Predictive markers that can inform the trajectory and outcome for a septic patient are necessary to inform treatment and increase the likelihood for patient survival. Here, by leveraging the concept of Lethal Dose 50 (LD50), which is the dose of a pathogen that will kill 50% of a genetically identical host population, we tested the hypothesis that variations in brain structure can be readily used to predict trajectory and outcome in a murine model of sepsis. We found that one week prior to infection, mice that were fated to survive exhibited greater cortical volume, solidity, and thickness compared to those who would succumb to the LD50 challenge, and these metrics were sufficient to train multiple predictive models with 75% to 94% accuracy. Our work reveals a readily measurable non-genetic marker for predicting sepsis prognosis in mice and demonstrates the potential for using pre-infection high-resolution structural brain scans to predict infection outcomes in humans.Non-Survivor: 542, 543,577,585,1701,1702,1713Survivor: 502,503,580,589,1457,1710<br>
DOI: 10.15468/dl.rhwu49
title: Occurrence Download

description: A dataset containing 2284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptotrochila",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2284 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045864-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bzd5p
title: Occurrence Download

description: A dataset containing 1801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.84538701900633",
 "DecimalLongitude is less than 6.84844657219073",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1801 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045865-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2ky2k5
title: CCDC 2381437: Experimental Crystal Structure Determination

description: Related Article: Xinya Liu, Valentin Dorokhov, Olivier Provot, Christine Tran, Pascal Retailleau, Jean-François Soulé, Abdallah Hamze|2025|ChemSusChem|18|e202500320|doi:10.1002/cssc.202500320
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ky2l6
title: CCDC 2381438: Experimental Crystal Structure Determination

description: Related Article: Xinya Liu, Valentin Dorokhov, Olivier Provot, Christine Tran, Pascal Retailleau, Jean-François Soulé, Abdallah Hamze|2025|ChemSusChem|18|e202500320|doi:10.1002/cssc.202500320
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ky2m7
title: CCDC 2381439: Experimental Crystal Structure Determination

description: Related Article: Xinya Liu, Valentin Dorokhov, Olivier Provot, Christine Tran, Pascal Retailleau, Jean-François Soulé, Abdallah Hamze|2025|ChemSusChem|18|e202500320|doi:10.1002/cssc.202500320
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.hf3uqc
title: Occurrence Download

description: A dataset containing 46607 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thalassoica antarctica"
 ]
}

 The dataset includes 46607 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045866-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qe67qt
title: Occurrence Download

description: A dataset listing the 34 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "MediaType is Image",
 "TaxonKey is Megachilidae",
 "Year 2000-2025"
 ]
}

 The dataset's 34 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045829-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atw3bt
title: Occurrence Download

description: A dataset containing 1160765848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1160765848 records from 1327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045650-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17652991
title: A Thermodynamic and Symmetry-Based Derivation of the Born Rule from Symbolic Modular Field Theory (SMFT)

description: This paper presents a unified physical and mathematical derivation of the Born rule within the framework of Symbolic Modular Field Theory (SMFT). Rather than assuming the quadratic probability law, the analysis shows that the Born rule arises naturally from two independent and mutually reinforcing principles inside SMFT:

1. Symmetry-Based Derivation (KN Isometry Limit)

SMFT introduces the KN modulation map K_\lambda, a nonlinear symbolic field operator governing resonance dynamics. In the low-dissonance limit D \to 0, this operator becomes an isometry, preserving amplitude ratios and enforcing invariance under unitary-like transformations. This symmetry alone restricts any consistent probability assignment to depend solely on the ℓ₂ norm of the amplitude vector—pointing directly to the Born rule.

2. Thermodynamic Derivation (Symbolic Free-Action Minimization)

SMFT models measurement and collapse through a symbolic free action

F[x] = \mathbb{E}[U(x;D)] - \Theta\, S[x],

combining internal energy, global dissonance, symbolic entropy, and coherence. Minimization of this action under a fixed ℓ₂-norm constraint uniquely selects the ℓ₂ metric as the stable equilibrium structure. The emergent probability distribution from this constrained minimization is precisely the quadratic Born rule.

Unified Result

The symmetry-based and thermodynamic derivations are logically independent yet converge on the same conclusion:

the Born rule is not an axiomatic postulate but a structural necessity within SMFT.

Predicted Deviations at High Dissonance

The paper also derives controlled, basis-dependent deviations from the Born rule in high-dissonance regimes, governed by a modulation parameter

\eta \sim \frac{\lambda D}{1 + D}.

These deviations provide testable predictions for:

 



gravitationally stressed entanglement systems

long-baseline Bell experiments

early-universe cosmology and CMB anisotropies