cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18273788
title: Disynaphia DC. 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.hdy3fu
title: Occurrence Download

description: A dataset containing 389467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is North America",
 "Country is Canada",
 "Geometry POLYGON((-122.65783 49.34779,-122.68108 49.33491,-122.76662 49.21417,-122.71778 49.1821,-122.68625 49.18358,-122.65424 49.18824,-122.62889 49.22027,-122.55535 49.3557,-122.65259 49.35196,-122.65783 49.34779))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 389467 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015607-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18273812
title: Global proteomic analysis of the lung in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Global proteomic analysis of the lung 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 and homogenized. Protein were digested and dried down before resuspension for LC-MS/MS analysis. DIA data was processed in Spectronaut (version 18, Biognosys, Switzerland) using direct DIA. Data was searched against the Mus musculus proteome, including expected mutations. The manufacturer's default parameters were used. Each experimental group contained biological replicates (n = 4 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.18273813
title: Global proteomic analysis of the lung in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Global proteomic analysis of the lung 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 and homogenized. Protein were digested and dried down before resuspension for LC-MS/MS analysis. DIA data was processed in Spectronaut (version 18, Biognosys, Switzerland) using direct DIA. Data was searched against the Mus musculus proteome, including expected mutations. The manufacturer's default parameters were used. Each experimental group contained biological replicates (n = 4 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.18273806
title: Disynaphia calyculata (Hook. & Arn.) 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.18273807
title: Disynaphia calyculata (Hook. & Arn.) 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.18273818
title: Targeted metabolomic profiling of the plasma in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Targeted metabolomic profiling of the plasma 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, and whole blood was collected from cardiac puncture. 50 μL plasma from each mouse was split and processed using the Bligh-Dyer method. 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 = 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.18273819
title: Targeted metabolomic profiling of the plasma in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Targeted metabolomic profiling of the plasma 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, and whole blood was collected from cardiac puncture. 50 μL plasma from each mouse was split and processed using the Bligh-Dyer method. 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 = 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.18273823
title: Targeted metabolomic profiling of the liver in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Targeted metabolomic profiling of the liver 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. 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 = 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.18273822
title: Targeted metabolomic profiling of the liver in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Targeted metabolomic profiling of the liver 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. 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 = 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.18273821
title: Disynaphia ericoides (DC.) 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.18273825
title: Targeted metabolomic profiling of the striatum in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Targeted metabolomic profiling of the striatum 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. 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 = 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.18273820
title: Disynaphia ericoides (DC.) 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.18273824
title: Targeted metabolomic profiling of the striatum in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Targeted metabolomic profiling of the striatum 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. 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 = 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.18273827
title: Disynaphia megapotamica (Spreng.) P.L.R.Moraes. 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.18273826
title: Disynaphia megapotamica (Spreng.) P.L.R.Moraes. 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.18273835
title: Targeted metabolomic 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: "Targeted metabolomic 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. 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 = 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.18273833
title: Targeted metabolomic profiling of the lung in G2019S LRRK2 knockin mice under a specialized diet

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

Title: "Targeted metabolomic profiling of the lung 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. 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 = 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