cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18273858
title: Untargeted lipidomic profiling of the kidney in G2019S LRRK2 knockin mice under a specialized diet

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Untargeted lipidomic profiling of the kidney in G2019S LRRK2 knockin mice under a specialized diet".

Description: G2019S LRRK2 knockin mice and their wild-type littermates were maintained on a normal chow diet (23.7% kcal from fat) for the first 11 months of life. At that time, animals were randomly assigned to either a high-fat diet group (60% kcal from fat) or a control diet group (10% kcal from fat). Mice remained on their respective diets for an additional five months. At 16 months of age, mice were anesthetized with an isoflurane vaporizer, tissue were then collected and immediately snap frozen in liquid nitrogen. Frozen tissues were cryopulverized, homogenized and processed using the Bligh-Dyer method. Lipid identifications were assigned using LipidSearch (v5.0, Thermo Fisher Scientific) which was used to generate a compound list, and lipid peak areas were quantified in Skyline. Each experimental group contained biological replicates (n = 5-6 per group).





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.18273869
title: Nucleoside quantification in the striatum of G2019S LRRK2 knockin mice

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Nucleoside quantification in the striatum of G2019S LRRK2 knockin mice".

Description: G2019S LRRK2 knockin mice and their wild-type littermates (3-5 months old) were anesthetized with an isoflurane vaporizer, tissue were then collected and immediately snap frozen in liquid nitrogen. Frozen tissues were cryopulverized, homogenized and processed using the Bligh-Dyer method. Absolute nucleoside quantitation was accomplished by running an external calibration curve with the samples. The stock mix contained Deoxyadenosine (dA), Deoxycytidine (dC), Deoxyguanosine (dG), Deoxythymidine (dT), and Deoxyuridine (dU). Targeted metabolomics peak picking and integration were conducted in Skyline (v25.1) using accurate mass MS1, MS2 fragmentation pattern matching, and retention time derived from analytical standards run through each chromatography method. Raw data files for all samples of a given experiment were imported and metabolite peaks were auto-integrated based standard verified m/z, precursor adducts, and retention times for all metabolites of interest. Each experimental group contained biological replicates (n = 9 per group).





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.18273870
title: Nucleoside quantification in the ventral midbrain of G2019S LRRK2 knockin mice

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Nucleoside quantification in the ventral midbrain of G2019S LRRK2 knockin mice".

Description: G2019S LRRK2 knockin mice and their wild-type littermates (3-5 months old) were anesthetized with an isoflurane vaporizer, tissue were then collected and immediately snap frozen in liquid nitrogen. Frozen tissues were cryopulverized, homogenized and processed using the Bligh-Dyer method. Absolute nucleoside quantitation was accomplished by running an external calibration curve with the samples. The stock mix contained Deoxyadenosine (dA), Deoxycytidine (dC), Deoxyguanosine (dG), Deoxythymidine (dT), and Deoxyuridine (dU). Targeted metabolomics peak picking and integration were conducted in Skyline (v25.1) using accurate mass MS1, MS2 fragmentation pattern matching, and retention time derived from analytical standards run through each chromatography method. Raw data files for all samples of a given experiment were imported and metabolite peaks were auto-integrated based standard verified m/z, precursor adducts, and retention times for all metabolites of interest. Each experimental group contained biological replicates (n = 9 per group).





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.18273871
title: Nucleoside quantification in the ventral midbrain of G2019S LRRK2 knockin mice

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Nucleoside quantification in the ventral midbrain of G2019S LRRK2 knockin mice".

Description: G2019S LRRK2 knockin mice and their wild-type littermates (3-5 months old) were anesthetized with an isoflurane vaporizer, tissue were then collected and immediately snap frozen in liquid nitrogen. Frozen tissues were cryopulverized, homogenized and processed using the Bligh-Dyer method. Absolute nucleoside quantitation was accomplished by running an external calibration curve with the samples. The stock mix contained Deoxyadenosine (dA), Deoxycytidine (dC), Deoxyguanosine (dG), Deoxythymidine (dT), and Deoxyuridine (dU). Targeted metabolomics peak picking and integration were conducted in Skyline (v25.1) using accurate mass MS1, MS2 fragmentation pattern matching, and retention time derived from analytical standards run through each chromatography method. Raw data files for all samples of a given experiment were imported and metabolite peaks were auto-integrated based standard verified m/z, precursor adducts, and retention times for all metabolites of interest. Each experimental group contained biological replicates (n = 9 per group).





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.18272232
title: Input files, parameters and scripts used in the analysis of the Identification of 14-3-3 and TRP interactions

description: In this File we provide a folder containing all data necessary to replicate the results obtained regarding TRP and 14-3-3 interactions.

Four subfolders are contained:



Scripts: Contains all the python scripts used in the generation and analysis of data.

Coevolution_input: Contains the multiple sequence alignments used for coevolution analysis.

Input_docking: Contains the files required to generate the Lightdock molecular dockings

Input_MD: Contains the necessary files to replicate the molecular dynamics through NAMD.
DOI: 10.5281/zenodo.18272233
title: Input files, parameters and scripts used in the analysis of the Identification of 14-3-3 and TRP interactions

description: In this File we provide a folder containing all data necessary to replicate the results obtained regarding TRP and 14-3-3 interactions.

Four subfolders are contained:



Scripts: Contains all the python scripts used in the generation and analysis of data.

Coevolution_input: Contains the multiple sequence alignments used for coevolution analysis.

Input_docking: Contains the files required to generate the Lightdock molecular dockings

Input_MD: Contains the necessary files to replicate the molecular dynamics through NAMD.
DOI: 10.5281/zenodo.18273868
title: Nucleoside quantification in the striatum of G2019S LRRK2 knockin mice

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Nucleoside quantification in the striatum of G2019S LRRK2 knockin mice".

Description: G2019S LRRK2 knockin mice and their wild-type littermates (3-5 months old) were anesthetized with an isoflurane vaporizer, tissue were then collected and immediately snap frozen in liquid nitrogen. Frozen tissues were cryopulverized, homogenized and processed using the Bligh-Dyer method. Absolute nucleoside quantitation was accomplished by running an external calibration curve with the samples. The stock mix contained Deoxyadenosine (dA), Deoxycytidine (dC), Deoxyguanosine (dG), Deoxythymidine (dT), and Deoxyuridine (dU). Targeted metabolomics peak picking and integration were conducted in Skyline (v25.1) using accurate mass MS1, MS2 fragmentation pattern matching, and retention time derived from analytical standards run through each chromatography method. Raw data files for all samples of a given experiment were imported and metabolite peaks were auto-integrated based standard verified m/z, precursor adducts, and retention times for all metabolites of interest. Each experimental group contained biological replicates (n = 9 per group).





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.6811359
title: SuperDARN data in netCDF format (1995-Nov)

description: 1995-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18273879
title: Disynaphia tacuarembensis (Hieron. & Arechav.) R.M.King & H.Rob. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273878
title: Disynaphia tacuarembensis (Hieron. & Arechav.) R.M.King & H.Rob. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.km5sq3
title: Occurrence Download

description: A dataset containing 75652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaris arundinacea",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 75652 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015610-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18273886
title: Ditassa R.Br. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273885
title: Ditassa R.Br. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273438
title: SuperDARN data in netCDF format (1995-Nov)

description: 1995-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18273890
title: Ditassa megapotamica (Spreng.) Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273889
title: Ditassa megapotamica (Spreng.) Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18075984
title: Massive Stellar Cannibals: How Stellar Mergers Drive Mass-Loss in Extremely Massive Stars

description: Simulation outputs for stellar mergers of extremely massive stars using MESA.
DOI: 10.5281/zenodo.18075985
title: Massive Stellar Cannibals: How Stellar Mergers Drive Mass-Loss in Extremely Massive Stars

description: Simulation outputs for stellar mergers of extremely massive stars using MESA.
DOI: 10.5281/zenodo.18273896
title: Ditaxis Vahl ex A.Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273895
title: Ditaxis Vahl ex A.Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273899
title: Ditaxis acaulis Herter. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273900
title: Ditaxis acaulis Herter. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18267783
title: Power traces for the BIKE key spectrum recovery

description: This dataset provides the power traces required to test the results of the article "Recovering the distance spectrum of BIKE's secret key by exploting power leakages". 

The scripts for the tests are available on the GitHub repository "https://github.com/chloe-baisse/bike-spectrum-rec"
DOI: 10.5281/zenodo.18267782
title: Power traces for the BIKE key spectrum recovery

description: This dataset provides the power traces required to test the results of the article "Recovering the distance spectrum of BIKE's secret key by exploting power leakages". 

The scripts for the tests are available on the GitHub repository "https://github.com/chloe-baisse/bike-spectrum-rec"
DOI: 10.5281/zenodo.18273919
title: Ditaxis montevidensis (Didr.) Pax. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273918
title: Ditaxis montevidensis (Didr.) Pax. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273902
title: Negentropic Thermal Gradients: Experimental Evidence of Entropy Decrease Driven by Active Heat Flux

description: The Second Law of Thermodynamics asserts that entropy in isolated systemstends toward maximum, with heat transfer representing dissipative energy dispersion. We present experimental evidence challenging this axiom through systematicobservations of entropy-decreasing processes driven by active thermal gradients. Using controlled experiments, we demonstrate: (1) spontaneous organization of matteragainst gravitational potential toward heat sources (negentropy), (2) instantaneouscessation of thermodynamic work (<0.2s) upon gradient removal despite thermalstate retention at 100.8°C, demonstrating that work depends on gradient ∇T ratherthan temperature T, and (3) vapor phase transitions at 30.1°C (69.9°C below standard boiling point), indicating gradient-driven extraction violates equilibrium thermodynamics. Analysis reveals tripartite energy dynamics where thermal gradientsstore energy in eld structure (Ugradient), enabling mechanical work through internalenergy reservoirs independent of bulk temperature. We propose that heat ux functions as an organizing attractive force rather than purely dispersive energy, with thethermal gradient generating mechanical work that locally decreases entropy. Thesendings suggest fundamental revision of the Second Law to account for gradientdominated non-equilibrium regimes where |∇T| exceeds critical thresholds.
DOI: 10.5281/zenodo.18273927
title: Ditaxis rhizantha Pax & K.Hoffm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273926
title: Ditaxis rhizantha Pax & K.Hoffm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273929
title: Ditaxis sellowiana Pax & K.Hoffm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18273928
title: Ditaxis sellowiana Pax & K.Hoffm. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18269390
title: Cascading river captures drive windgap propagation and drainage reversal

description: This dataset contains the raw numerical outputs from the landscape evolution simulations used in Peifer et al. (2026) and is sufficient to reproduce and verify the reported results. It includes gridded topography rasters saved at 100,000 year intervals throughout each model run. Files labelled S1–S12 correspond to the numerical outputs used to generate Supplementary Movies S1–S12. The archive also includes the full simulation code and run scripts, including the custom multidirectional stream-power solver and routing diagnostics used to verify D∞ flow partitioning.
DOI: 10.5281/zenodo.18269389
title: Cascading river captures drive windgap propagation and drainage reversal

description: This dataset contains the raw numerical outputs from the landscape evolution simulations used in Peifer et al. (2026) and is sufficient to reproduce and verify the reported results. It includes gridded topography rasters saved at 100,000 year intervals throughout each model run. Files labelled S1–S12 correspond to the numerical outputs used to generate Supplementary Movies S1–S12. The archive also includes the full simulation code and run scripts, including the custom multidirectional stream-power solver and routing diagnostics used to verify D∞ flow partitioning.
DOI: 10.15468/dl.jdv5qw
title: Occurrence Download

description: A dataset containing 275066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Erodium cicutarium (L.) L'Hér.",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 275066 records from 1669 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015612-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy42jv
title: Occurrence Download

description: A dataset containing 807 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acriopsis Reinw. ex Blume"
 ]
}

 The dataset includes 807 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011359-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110825229
title: Persepolis Fortification Elamite Tablet 2291.101, Fort 2291.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2291.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Left edge and lower left corner broken off. Cracks on obverse.