cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20430708
title: Data from: Spatio-temporal patterns of earthworm abundance suggest time-limited food availability for a subalpine bird species

description: This folder contains the data used in the following publication: <br> Barras, A.G., Candolfi, I. & R. Arlettaz. 2022. Spatio-temporal patterns of earthworm abundance suggest time-limited food availability for a subalpine bird species. <em>Pedobiologia</em> <br> Datasets on the number and biomass of earthworms and a number of environmental variables sampled across the breeding season of Ring Ouzels <em>Turdus torquatus</em> in a subalpine pasture in the Swiss Alps.
DOI: 10.6084/m9.figshare.20430708.v1
title: Data from: Spatio-temporal patterns of earthworm abundance suggest time-limited food availability for a subalpine bird species

description: This folder contains the data used in the following publication: <br> Barras, A.G., Candolfi, I. & R. Arlettaz. 2022. Spatio-temporal patterns of earthworm abundance suggest time-limited food availability for a subalpine bird species. <em>Pedobiologia</em> <br> Datasets on the number and biomass of earthworms and a number of environmental variables sampled across the breeding season of Ring Ouzels <em>Turdus torquatus</em> in a subalpine pasture in the Swiss Alps.
DOI: 10.6084/m9.figshare.14724531
title: Data from: Variation in demography and life-history strategies across the range of a declining mountain bird species

description: This folder contains the data and code for the integrated population models used in the following publication: <br> Barras AG, Blache S, Schaub M and Arlettaz R (2021) Variation in Demography and Life-History Strategies Across the Range of a Declining Mountain Bird Species. Front. Ecol. Evol. 9:780706. <br> These datasets contain information on population counts, productivity and capture-mark-recapture (CMR) from two populations of Ring Ouzels <em>Turdus torquatus alpestris</em> in the Alps, one from the French Vercors (VE) and the other from the Swiss Alps (VA). <br> <br>
DOI: 10.6084/m9.figshare.14724531.v1
title: Data from: Variation in demography and life-history strategies across the range of a declining mountain bird species

description: This folder contains the data and code for the integrated population models used in the following publication: <br> Barras AG, Blache S, Schaub M and Arlettaz R (2021) Variation in Demography and Life-History Strategies Across the Range of a Declining Mountain Bird Species. Front. Ecol. Evol. 9:780706. <br> These datasets contain information on population counts, productivity and capture-mark-recapture (CMR) from two populations of Ring Ouzels <em>Turdus torquatus alpestris</em> in the Alps, one from the French Vercors (VE) and the other from the Swiss Alps (VA). <br> <br>
DOI: 10.6084/m9.figshare.13060409
title: Data from: Nestling diet and parental food provisioning in a declining mountain passerine reveal high sensitivity to climate change.

description: This folder contains the data used in the following publication: <br> Barras, A.G., Niffenegger, C.A., Candolfi, I., Hunziker, Y.A. & R. Arlettaz. 2021. Nestling diet and parental food provisioning in a declining mountain passerine reveal high sensitivity to climate change. <em>Journal of Avian Biology</em> <br> Datasets on hourly provisioning rates and delivered biomass of Alpine Ring Ouzels (<em>Turdus torquatus alpestris</em>) in relation to weather conditions.
DOI: 10.6084/m9.figshare.13060409.v1
title: Data from: Nestling diet and parental food provisioning in a declining mountain passerine reveal high sensitivity to climate change.

description: This folder contains the data used in the following publication: <br> Barras, A.G., Niffenegger, C.A., Candolfi, I., Hunziker, Y.A. & R. Arlettaz. 2021. Nestling diet and parental food provisioning in a declining mountain passerine reveal high sensitivity to climate change. <em>Journal of Avian Biology</em> <br> Datasets on hourly provisioning rates and delivered biomass of Alpine Ring Ouzels (<em>Turdus torquatus alpestris</em>) in relation to weather conditions.
DOI: 10.5281/zenodo.6961533
title: Supplementary dataset to publication: "Neuroglia Infection by Rabies Virus after Anterograde Virus Spread in Peripheral Neurons"

description: Supplementary data to the publication: Potratz M., Zaeck L.M., Weigel C., Klein A., Freuling C.M., Müller T., <strong>Finke S.</strong> <strong>2020. </strong>Neuroglia Infection by Rabies Virus after Anterograde Virus Spread in Peripheral Neurons. <strong>Acta Neuropathologica Communications. </strong>8:199. doi.org/10.1186/s40478-020-01074-6.
DOI: 10.5281/zenodo.6913924
title: Supplementary dataset to publication: "Neuroglia Infection by Rabies Virus after Anterograde Virus Spread in Peripheral Neurons"

description: Supplementary data to the publication: Potratz M., Zaeck L.M., Weigel C., Klein A., Freuling C.M., Müller T., <strong>Finke S.</strong> <strong>2020. </strong>Neuroglia Infection by Rabies Virus after Anterograde Virus Spread in Peripheral Neurons. <strong>Acta Neuropathologica Communications. </strong>8:199. doi.org/10.1186/s40478-020-01074-6.
DOI: 10.5281/zenodo.6875087
title: Dataset for the identification of hypertension in school-aged children from Gqeberha, South Africa

description: Dataset used to evaluate and compare different international references to identify hypertension among South African school-aged children from disadvantaged communities. It encompasses anonymized, unique, identification numbers, anthropometric and blood pressure measures, as well as blood pressure percentiles and the assigned categories derived from four different reference populations (American, German, global and the study population).
DOI: 10.5281/zenodo.6875086
title: Dataset for the identification of hypertension in school-aged children from Gqeberha, South Africa

description: Dataset used to evaluate and compare different international references to identify hypertension among South African school-aged children from disadvantaged communities. It encompasses anonymized, unique, identification numbers, anthropometric and blood pressure measures, as well as blood pressure percentiles and the assigned categories derived from four different reference populations (American, German, global and the study population).
DOI: 10.6084/m9.figshare.14936052.v10
title: Maps of cropping patterns in China during 2015-2021

description: Here we present the first annual 500-m maps of multiple cropping systems in china at national scale during 2015 to 2020,which provide information on cropping intensity with descriptions of three staple crops (Maize,paddy rice and wheat). We produced the cropping patterns maps by developing phenological metrics, which can be applied to national scale.
DOI: 10.17034/8182fa9c-cf30-4509-8e2e-7c701280d17d
title: Python: DIgSILENT computational intensive approach to identify optimal FFR-based battery energy storage locations

description: This code was built-in Python to interface with the DIgSILENT power system dynamic model. The main objective of the code is to accelerate the time domain simulation process in DIgSILENT PowerFactory. This code can help change the location and capacity of battery energy storage systems inside the DIgSILENT model. It can also be used to apply various disturbances to the model and export thousands of data about the model response during transient simulations. The code would be of interest to researchers in the area of power system dynamic analysis who develop power system model scenarios to analyze challenges facing the grid while approaching the Net Zero targets. Note that this code first appeared in Appendix C5 of the connected PhD thesis (pp. 293-299). Note the code is embargoed until 31 July 2027.
DOI: 10.17034/9328b31a-a0be-4576-8595-07b377db4f23
title: Python: DIgSILENT interface to accelerate the dynamic simulation model

description: This code is built-in Python to interface with the DIgSILENT power system dynamic model. The main objective of the code is to accelerate the time domain simulation process in DIgSILENT PowerFactory. This piece of code can help change the parameter of the model inside DIgSILENT and quickly generate a large number of CSV files. It can also be used to apply various disturbances to the model and export thousands of data about the model response during transient simulations. The code would be of interest to researchers in the area of power system dynamic analysis who develop power system model scenarios to analyze challenges facing the grid while approaching the Net Zero targets. Note that this code first appeared in Appendix A4 of the connected PhD thesis (pp. 277-281). Note the code is embargoed until 31 July 2027.
DOI: 10.5281/zenodo.6952972
title: Tabular Data for figures of Soutar et al. 2022

description: Tabular data of analysed data presented in figures of the manuscript "Regulation of mitophagy by the NSL complex underlies genetic risk for Parkinson’s disease at Chr16q11.2 and on the MAPT H1 allele" by Soutar et al., 2022.
DOI: 10.5281/zenodo.6952971
title: Tabular Data for figures of Soutar et al. 2022

description: Tabular data of analysed data presented in figures of the manuscript "Regulation of mitophagy by the NSL complex underlies genetic risk for Parkinson’s disease at Chr16q11.2 and on the MAPT H1 allele" by Soutar et al., 2022.
DOI: 10.6084/m9.figshare.20411082.v1
title: A chromosome-scale genome assembly of Quercus gilva: Insights into the evolution of East Asian evergreen oaks (Quercus section Cyclobalanopsis; Fagaceae)

description: <em>Quercus gilva</em> is an ecologically and economically important species of <em>Quercus</em> section <em>Cyclobalanopsis.</em> In this study, we reported a high-quality chromosome-scale genome assembly of <em>Q. gilva.</em>
DOI: 10.18112/openneuro.ds004091.v1.2.1
title: GAZE PRF
DOI: 10.18112/openneuro.ds004158.v1.0.2
title: rest_eye
DOI: 10.23729/b85f3e7a-4ebd-4a90-b811-8ee390cc1121
title: 3D Library Set 3

description: Third set of structures for the GTK 3D structure library, intended to act as a database for geoinspired design projects. Samples are scanned only to add their structure to the library, with no other direct research interest. Preview dataset found at https://doi.org/10.23729/9ed5b893-eef9-4792-9f05-c59919d65758 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.14279/depositonce-8100
title: Web performance pitfalls data

description: This dataset contains data from the experiment runs of the paper "Web Performance Pitfalls", published by Springer in the Conference Proceedings of the Passive and Active Measurement Conference 2019 (PAM 2019). It includes the load times, HAR files, and resource timing log files Web page loads. In total, the dataset consists of 50 experiment runs, each loading 1000 Web pages, using different browsers and browser automation tools. See https://github.com/theri/web-measurement-tools for more information.
DOI: 10.5281/zenodo.6623588
title: scMEGA: Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference

description: The increasing availability of single-cell multi-omics data allow to quantitatively characterize gene regulation. We here describe scMEGA (Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference) to infer gene regulatory network by combining single cell gene expression and chromatin accessibility profiles. This allows to study complex gene regulation mechanisms for dynamic biological processes, such as cellular differentiation and disease development. We provide a case study on gene regulatory networks controlling myofibroblast activation in human myocardial infarction.
DOI: 10.5281/zenodo.6623587
title: scMEGA: Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference

description: The increasing availability of single-cell multi-omics data allow to quantitatively characterize gene regulation. We here describe scMEGA (Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference) to infer gene regulatory network by combining single cell gene expression and chromatin accessibility profiles. This allows to study complex gene regulation mechanisms for dynamic biological processes, such as cellular differentiation and disease development. We provide a case study on gene regulatory networks controlling myofibroblast activation in human myocardial infarction.
DOI: 10.5281/zenodo.6874961
title: Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors

description: This dataset containts the recordings of 129 participants that wore the Fitbit Charge 3 for seven consecutive days. Each row represent 1 minute. In this dataset you will find information regarding participants' heart rate (BPM), sleep status, steps and other features. The file "Dict.xlsx" contains description of the different columns in the dataset. The full description of the dataset and of the pre-processing steps can be found in Magal et.al (2022) paper: "Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors". For more information please contact Dr. Roee Admon radmon@psy.haifa.ac.il
DOI: 10.5281/zenodo.6874960
title: Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors

description: This dataset containts the recordings of 129 participants that wore the Fitbit Charge 3 for seven consecutive days. Each row represent 1 minute. In this dataset you will find information regarding participants' heart rate (BPM), sleep status, steps and other features. The file "Dict.xlsx" contains description of the different columns in the dataset. The full description of the dataset and of the pre-processing steps can be found in Magal et.al (2022) paper: "Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors". For more information please contact Dr. Roee Admon radmon@psy.haifa.ac.il
DOI: 10.5517/ccdc.csd.cc2cnr60
title: CCDC 2194682: Experimental Crystal Structure Determination

description: Related Article: Lan Wang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20430828
title: Raw data for BA (ID 225066011).zip

description: Raw data for blocking antibody (ID 225066011)
DOI: 10.6084/m9.figshare.20430828.v1
title: Raw data for BA (ID 225066011).zip

description: Raw data for blocking antibody (ID 225066011)
DOI: 10.6084/m9.figshare.20171264
title: Data on perceptions of students towards online learning in medical education

description: This dataset has responses from medical students' perceptions of online teaching during the Covid-19 pandemic. A validated questionnaire was used to collect responses from medical students and a focused group discussion(FGD)guide was used for conducting the FGDs. The qualitative dataset includes transcripts of four focused group discussions conducted with medical students regarding their feedback on online learning during the COVID-19 pandemic. The student's perceptions towards online live lectures and recorded lectures are recorded in these discussions.
DOI: 10.5281/zenodo.6961802
title: The use of Foundational Ontologies in Bioinformatics - Supplementary Material

description: Supplementary material for the paper "The use of Foundational Ontologies in Bioinformatics".
DOI: 10.6084/m9.figshare.20430780
title: Tuberculosis screening among ambulatory people living with HIV: a systematic review and individual participant data meta-analysis

description: ART initiator TB data
DOI: 10.6084/m9.figshare.20430780.v1
title: Tuberculosis screening among ambulatory people living with HIV: a systematic review and individual participant data meta-analysis

description: ART initiator TB data
DOI: 10.6084/m9.figshare.20430789
title: Xpert MTB/RIF Ultra Is Highly Sensitive for the Diagnosis of Tuberculosis Lymphadenitis in a High-HIV Setting

description: Ultra results
DOI: 10.6084/m9.figshare.20430789.v1
title: Xpert MTB/RIF Ultra Is Highly Sensitive for the Diagnosis of Tuberculosis Lymphadenitis in a High-HIV Setting

description: Ultra results
DOI: 10.6084/m9.figshare.20430801
title: Non-actionable results, accuracy and effect of the first- and second-line line 1 probe assays for diagnosing drug resistant tuberculosis, including on smear-2 negative specimens, in a high-volume laboratory

description: Sequencing data
DOI: 10.6084/m9.figshare.20430801.v1
title: Non-actionable results, accuracy and effect of the first- and second-line line 1 probe assays for diagnosing drug resistant tuberculosis, including on smear-2 negative specimens, in a high-volume laboratory

description: Sequencing data
DOI: 10.6084/m9.figshare.20430921.v1
title: Xpert MTB/RIF Ultra and Xpert MTB/RIF for diagnosis of tuberculosis in an HIV-endemic setting with a high burden of previous tuberculosis: a two-cohort diagnostic accuracy study

description: Cohort A and B data
DOI: 10.6084/m9.figshare.20430921
title: Xpert MTB/RIF Ultra and Xpert MTB/RIF for diagnosis of tuberculosis in an HIV-endemic setting with a high burden of previous tuberculosis: a two-cohort diagnostic accuracy study

description: Cohort A and B data
DOI: 10.5281/zenodo.6961846
title: The use of Foundational Ontologies in Bioinformatics - Supplementary Material

description: Supplementary material for the paper "The use of Foundational Ontologies in Bioinformatics".
DOI: 10.5281/zenodo.5793617
title: The use of Foundational Ontologies in Bioinformatics - Supplementary Material

description: Supplementary material for the paper "The use of Foundational Ontologies in Bioinformatics".
DOI: 10.34740/kaggle/dsv/4027641
title: AutoXGB
DOI: 10.5281/zenodo.6861851
title: Training data for 'Functional annotation of protein sequences' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for functional annotation of protein sequences.
DOI: 10.5281/zenodo.6861850
title: Training data for 'Functional annotation of protein sequences' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for functional annotation of protein sequences.
DOI: 10.5281/zenodo.6826729
title: URL list for downloading training data for 'Maximum Likelihood Phylogeny Reconstruction'' (Galaxy Training Material)

description: This data is used for Galaxy Training Network (GTN) training 'Maximum Likelihood Phylogeny Reconstruction'. It is a list of Zenodo URL pointers to a dataset of 173 amino acid alignments of orthologs found in chromosome 5 of four strains of S. cerevisiae. Original sequence data (https://zenodo.org/record/6610704) was processed in Galaxy following GTN 'Preparing genomic data for phylogeny reconstruction' training (10.48546/workflowhub.workflow.359.1) to generate alignments of orthologs.
DOI: 10.5281/zenodo.6826728
title: URL list for downloading training data for 'Maximum Likelihood Phylogeny Reconstruction'' (Galaxy Training Material)

description: This data is used for Galaxy Training Network (GTN) training 'Maximum Likelihood Phylogeny Reconstruction'. It is a list of Zenodo URL pointers to a dataset of 173 amino acid alignments of orthologs found in chromosome 5 of four strains of S. cerevisiae. Original sequence data (https://zenodo.org/record/6610704) was processed in Galaxy following GTN 'Preparing genomic data for phylogeny reconstruction' training (10.48546/workflowhub.workflow.359.1) to generate alignments of orthologs.
DOI: 10.5281/zenodo.6820976
title: Training data for 'Maximum Likelihood Phylogeny Reconstruction'' (Galaxy Training Material)

description: This data is used for Galaxy Training Network (GTN) training 'Maximum Likelihood Phylogeny Reconstruction'. It consists of 173 amino acid alignments of orthologs found in chromosome 5 of four strains of S. cerevisiae. Original sequence data (https://zenodo.org/record/6610704) was processed in Galaxy following GTN 'Preparing genomic data for phylogeny reconstruction' training (10.48546/workflowhub.workflow.359.1) to generate alignments of orthologs.
description: {"references": ["https://doi.org/10.5281/zenodo.6610704"]}
DOI: 10.5281/zenodo.6628296
title: Galaxy Training Data for "Evaluating and ranking a set of pathways based on multiple metrics"

description: <pre>This dataset provides the inputs needed for the Galaxy Pathway Analysis workflow training tutorial (https://galaxy-synbiocad.org). This workflow asseses the performance of predicted pathways by computing 4 criteria (target product flux, thermodynamic feasibility, pathway length, and enzyme availability). A score inform the user about the best candidate pathways to produce a compound of interest. The generated output is a collection of scored and ranked heterologous pathways. The content of the dataset is as follows: - A set of pathways provided in the SBML format (Systems Biology Markup Language) to be ranked, modeling heterologous pathways such as those outputted by the RetroSynthesis workflow (https://galaxy-synbiocad.org). - The GEM (Genome-scale metabolic models) which is a formalized representation of the metabolism of the host organism (the model is E. coli iML1515), provided in the SBML format.</pre>
DOI: 10.5281/zenodo.6820975
title: Training data for 'Maximum Likelihood Phylogeny Reconstruction'' (Galaxy Training Material)

description: This data is used for Galaxy Training Network (GTN) training 'Maximum Likelihood Phylogeny Reconstruction'. It consists of 173 amino acid alignments of orthologs found in chromosome 5 of four strains of S. cerevisiae. Original sequence data (https://zenodo.org/record/6610704) was processed in Galaxy following GTN 'Preparing genomic data for phylogeny reconstruction' training (10.48546/workflowhub.workflow.359.1) to generate alignments of orthologs.
description: {"references": ["https://doi.org/10.5281/zenodo.6610704"]}
DOI: 10.5281/zenodo.6628295
title: Galaxy Training Data for "Evaluating and ranking a set of pathways based on multiple metrics"

description: <pre>This dataset provides the inputs needed for the Galaxy Pathway Analysis workflow training tutorial (https://galaxy-synbiocad.org). This workflow asseses the performance of predicted pathways by computing 4 criteria (target product flux, thermodynamic feasibility, pathway length, and enzyme availability). A score inform the user about the best candidate pathways to produce a compound of interest. The generated output is a collection of scored and ranked heterologous pathways. The content of the dataset is as follows: - A set of pathways provided in the SBML format (Systems Biology Markup Language) to be ranked, modeling heterologous pathways such as those outputted by the RetroSynthesis workflow (https://galaxy-synbiocad.org). - The GEM (Genome-scale metabolic models) which is a formalized representation of the metabolism of the host organism (the model is E. coli iML1515), provided in the SBML format.</pre>
DOI: 10.5281/zenodo.6389653
title: Relative Humidity from Copernicus Essential Climate Variables for July months from 1980 to 2018

description: This dataset can be used if you have issues with the Essential Climate Variables Galaxy Tool for the Training "Getting your hands-on climate data" in the section "Essential Climate Variables". You can then upload this dataset in your Galaxy history and skip the 1st step (<strong>Copernicus Essential Climate Variables</strong>) and directly start with 2. <strong>map plot gridded (lat/lon) netCDF data.</strong>