cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18273834
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.18273832
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
DOI: 10.5281/zenodo.18273840
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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 = 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.18273839
title: Disynaphia multicrenulata (Baker) 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.18273841
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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 = 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.18273838
title: Disynaphia multicrenulata (Baker) 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.18273844
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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 = 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.18273845
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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 = 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.18273849
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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.18273847
title: Disynaphia spathulata (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.18273848
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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.18273846
title: Disynaphia spathulata (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.18273853
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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.18273852
title: Untargeted lipidomic 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: "Untargeted lipidomic 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. 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.18273859
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.18273863
title: Nucleoside quantification in the plasma of G2019S LRRK2 knockin mice

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

Title: "Nucleoside quantification in the plasma 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, and whole blood was collected from cardiac puncture. 50 μL plasma from each mouse was split 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 =8-9 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.18273864
title: Nucleoside quantification in the plasma of G2019S LRRK2 knockin mice

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

Title: "Nucleoside quantification in the plasma 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, and whole blood was collected from cardiac puncture. 50 μL plasma from each mouse was split 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 =8-9 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