cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5zs2kf17
title: MassIVE Reanalysis RMSV000000354.5217 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TRIM13 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5q814t31
title: MassIVE Reanalysis RMSV000000354.5221 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LCA5 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5v11vm7s
title: MassIVE Reanalysis RMSV000000354.5218 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PYCR1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5kh0f086
title: MassIVE Reanalysis RMSV000000354.5220 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C4BPB [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5fq9q64h
title: MassIVE Reanalysis RMSV000000354.5223 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RNF25 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c59z90d17
title: MassIVE Reanalysis RMSV000000354.5224 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ESD [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.3886/e112813v1-110260
title: Replication data for: Recovery from Financial Crises: Evidence from 100 Episodes

description: We examine the evolution of real per capita GDP around 100 systemic banking crises. Part of the costs of these crises owes to the protracted nature of recovery. On average, it takes about 8 years to reach the pre-crisis level of income; the median is about 6.5 years. Five to six years after the onset of crisis, only Germany and the United States (out of 12 systemic cases) have reached their 2007-2008 peaks in real income. Forty-five percent of the episodes recorded double dips. Post-war business cycles are not the relevant comparator for the recent crises in advanced economies.
DOI: 10.5281/zenodo.6245053
title: msd-errors - Random walk data

description: The data related to the random walk components of the msd-error work, including truly random and temporarily anti-correlated random walks at a series of system and step size. These have either be analysed numerically or analytically (using kinisi, WLS, or OLS).<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.25345/c56970004
title: MassIVE Reanalysis RMSV000000354.5219 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ANGPTL4 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c52j6857v
title: MassIVE Reanalysis RMSV000000354.5222 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HLA-G [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19222413
title: The social isolation enforced by the COVID-19 pandemic reduces the Health-Related Quality of Life score in the adult population of Metropolitan Lima

description: Health data of residents Lima Peru
DOI: 10.6084/m9.figshare.19222413.v1
title: The social isolation enforced by the COVID-19 pandemic reduces the Health-Related Quality of Life score in the adult population of Metropolitan Lima

description: Health data of residents Lima Peru
DOI: 10.25345/c5xs5jj2g
title: MassIVE Reanalysis RMSV000000354.5230 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TCTN1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.48677/e0cff1c2-1465-4017-8af9-ca8a7f8df9af
title: Kataster Grundstücksverzeichnis CSV Stichtag 01.10.2021

description: Das Grundstücksverzeichnis ist der Sachdatenbestand des Katasters und wird katastralgemeindeweise geführt. Es enthält für jedes Grundstück - Katastralgemeindenummer - Grundstücksnummer - Benützungsart und dazugehörige Nutzung - rechtliche Zusatzinformation (wenn vorhanden) - Flächen der Nutzung - Ertragsmesszahl - Geschäftsfallnummer - Katastralgemeindenummer der Einlagezahl - Einlagezahl - sonstige Angaben zur leichteren Kenntlichmachung
DOI: 10.25345/c5t14tq7j
title: MassIVE Reanalysis RMSV000000354.5226 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RMND5A [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19222407
title: Full results of the simulation studies

description: Full results of Simulation 1 and Simulation 2 in the manuscript "Contributions to constructing forced-choice questionnaires using the Thurstonian IRT model"<br>
DOI: 10.6084/m9.figshare.19222407.v1
title: Full results of the simulation studies

description: Full results of Simulation 1 and Simulation 2 in the manuscript "Contributions to constructing forced-choice questionnaires using the Thurstonian IRT model"<br>
DOI: 10.6084/m9.figshare.19222395
title: The social isolation enforced by the COVID-19 pandemic reduces the Health-Related Quality of Life score in the adult population of Metropolitan Lima.xlsx

description: DATA ON THE HEALTH STATUS OF RESIDENTS OF LIMA, PERU
DOI: 10.6084/m9.figshare.19222395.v2
title: The social isolation enforced by the COVID-19 pandemic reduces the Health-Related Quality of Life score in the adult population of Metropolitan Lima.xlsx

description: DATA ON THE HEALTH STATUS OF RESIDENTS OF LIMA, PERU
DOI: 10.6084/m9.figshare.19222395.v1
title: The social isolation enforced by the COVID-19 pandemic reduces the Health-Related Quality of Life score in the adult population of Metropolitan Lima.xlsx

description: DATA ON THE HEALTH STATUS OF RESIDENTS OF LIMA, PERU
DOI: 10.6084/m9.figshare.19222416
title: Data for Meat reduction and vegan promotion in the UK – A mixed-methods examination of campaigns and their participants

description: Data for 'Meat reduction and vegan promotion in the UK – A mixed-methods examination of campaigns and their participants;
DOI: 10.6084/m9.figshare.19222416.v2
title: Data for Meat reduction and vegan promotion in the UK – A mixed-methods examination of campaigns and their participants

description: Data for 'Meat reduction and vegan promotion in the UK – A mixed-methods examination of campaigns and their participants;
DOI: 10.6084/m9.figshare.19222416.v1
title: Data for Meat reduction and vegan promotion in the UK – A mixed-methods examination of campaigns and their participants

description: Data for 'Meat reduction and vegan promotion in the UK – A mixed-methods examination of campaigns and their participants;
DOI: 10.25345/c5p843x29
title: MassIVE Reanalysis RMSV000000354.5231 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LDHA [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5jh3d38z
title: MassIVE Reanalysis RMSV000000354.5232 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GNB2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.3886/e120232
title: Code for: How well targeted are soda taxes?

description: Soda taxes aim to reduce excessive sugar consumption. We assess who are most impacted by soda taxes. We estimate demand using micro longitudinal data covering on-the-go purchases, and exploit the panel dimension to estimate individual specific preferences. We relate these preferences and counterfactual predictions to individual characteristics and show that soda taxes are relatively effective at targeting the sugar intake of the young, are less successful at targeting the intake of those with high total dietary sugar, and are unlikely to be strongly regressive especially if consumers benefit from averted internalities.
DOI: 10.3886/e120232v2
title: Code for: How well targeted are soda taxes?

description: Soda taxes aim to reduce excessive sugar consumption. We assess who are most impacted by soda taxes. We estimate demand using micro longitudinal data covering on-the-go purchases, and exploit the panel dimension to estimate individual specific preferences. We relate these preferences and counterfactual predictions to individual characteristics and show that soda taxes are relatively effective at targeting the sugar intake of the young, are less successful at targeting the intake of those with high total dietary sugar, and are unlikely to be strongly regressive especially if consumers benefit from averted internalities.
DOI: 10.5281/zenodo.5880554
title: Microchromosomes and their association with human diseases

description: Supply table-S1: Commonly used patient derived cell lines, number of average microchromosomes, citation to original article. Supply table-S2: List of PubMed abstracts and annotation of disease identified by artificial intelligence-based technique related to incidence of microchromosomes in human Machine Learning_NER_code_output_20220120.zip: File containing the PubMed abstracts, machine learning analysis output and disease interpretation output. Cell lines karyotype.zip: File containing the raw karyotype data of all head & neck cancer cell lines. Brief description of methodology: To investigate the incidence of microchromosomes in human genome, we mine the PubMed literature for studies related to keywords “((microchromosome) OR ("marker chromosome") OR ("small chromosome"))” and applying the filter “human”. A total of 1,365 abstracts are obtained from PubMed as per date 08-Jan-2022. We analyze the PubMed abstracts using the Named Entity Recognition (NER) technique of Machine Learning (ML) implemented in Spacy (3.0) – scispaCy (0.4.0) – Python (3.7) running on Windows 11 system. The scispaCy package NER model “en_ner_bc5cdr_md” which is pretrained on BC5CDR corpus was used for disease entity recognition (https://allenai.github.io/scispacy/). Approximately 2000 disease entities are recognized by the model from the abstract text of the 1365 articles. The disease entities present in the abstract texts are extracted and then grouped together for most common broad disease classes as shown in excel file Supply_Table-S1.xlsx. The Python code, PubMed input and output files are available in "Machine Learning_NER_code_output_20220120.zip". Overall, inherited or somatically acquired microchromosomes in human individuals are frequently reported with diseases and disorders like Cancer, Trisomy, Turner’s syndrome, Epilepsy, Infertility, and Autism.
DOI: 10.5281/zenodo.5880553
title: Microchromosomes and their association with human diseases

description: Supply table-S1: Commonly used patient derived cell lines, number of average microchromosomes, citation to original article. Supply table-S2: List of PubMed abstracts and annotation of disease identified by artificial intelligence-based technique related to incidence of microchromosomes in human Machine Learning_NER_code_output_20220120.zip: File containing the PubMed abstracts, machine learning analysis output and disease interpretation output. Cell lines karyotype.zip: File containing the raw karyotype data of all head & neck cancer cell lines. Brief description of methodology: To investigate the incidence of microchromosomes in human genome, we mine the PubMed literature for studies related to keywords “((microchromosome) OR ("marker chromosome") OR ("small chromosome"))” and applying the filter “human”. A total of 1,365 abstracts are obtained from PubMed as per date 08-Jan-2022. We analyze the PubMed abstracts using the Named Entity Recognition (NER) technique of Machine Learning (ML) implemented in Spacy (3.0) – scispaCy (0.4.0) – Python (3.7) running on Windows 11 system. The scispaCy package NER model “en_ner_bc5cdr_md” which is pretrained on BC5CDR corpus was used for disease entity recognition (https://allenai.github.io/scispacy/). Approximately 2000 disease entities are recognized by the model from the abstract text of the 1365 articles. The disease entities present in the abstract texts are extracted and then grouped together for most common broad disease classes as shown in excel file Supply_Table-S1.xlsx. The Python code, PubMed input and output files are available in "Machine Learning_NER_code_output_20220120.zip". Overall, inherited or somatically acquired microchromosomes in human individuals are frequently reported with diseases and disorders like Cancer, Trisomy, Turner’s syndrome, Epilepsy, Infertility, and Autism.
DOI: 10.5281/zenodo.6035873
title: The spatio-temporal program of liver zonal regeneration

description: We performed mouse bulk liver mRNA sequencing (mcSCRBseq, Bagnoli et al., 2018), single-cell RNA seq (Feature Barcode 10x) and spatial transcriptomics (10x Visium) of hepatocytes and non-parenchymal cells (NPCs) at several time points along the time course of Acetaminophen (APAP)-induced liver damage and regeneration to identify spatio-temporal dynamics of liver regeneration.
description: see README file for experiment details
DOI: 10.5281/zenodo.5172136
title: The spatio-temporal program of liver zonal regeneration

description: We performed mouse bulk liver mRNA sequencing (mcSCRBseq, Bagnoli et al., 2018), single-cell RNA seq (Feature Barcode 10x) and spatial transcriptomics (10x Visium) of hepatocytes and non-parenchymal cells (NPCs) at several time points along the time course of Acetaminophen (APAP)-induced liver damage and regeneration to identify spatio-temporal dynamics of liver regeneration.
description: see README file for experiment details
DOI: 10.25345/c5dr2p96s
title: MassIVE Reanalysis RMSV000000354.5233 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C14orf135 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5930nw4s
title: MassIVE Reanalysis RMSV000000354.5234 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IMPA1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5599z310
title: MassIVE Reanalysis RMSV000000354.5236 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GMPR2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6245345
title: Not all regions with high pesticide risk deserve priority concern

description: The datasets with 14 sheets contain basic data on pesticide use in China since 1991, parameters of four widely used pesticides (carbofuran, chlorpyrifos, atrazine and acetochlor), and related changing legacies, concentrations, and ecological risk in multimedia of each basin for 30 years. The detailed content can be found in the sheet 'Readme'.
DOI: 10.5281/zenodo.6245344
title: Not all regions with high pesticide risk deserve priority concern

description: The datasets with 14 sheets contain basic data on pesticide use in China since 1991, parameters of four widely used pesticides (carbofuran, chlorpyrifos, atrazine and acetochlor), and related changing legacies, concentrations, and ecological risk in multimedia of each basin for 30 years. The detailed content can be found in the sheet 'Readme'.