cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19533804
title: Additional file 2 of The evolution of microtubule associated proteins – a reference proteomic perspective

description: Additional file 2. Linux bash script used for InterProtScan analysis. Code used to run InterProtScan on University of Iowa Argon HPC.
DOI: 10.6084/m9.figshare.19533804.v1
title: Additional file 2 of The evolution of microtubule associated proteins – a reference proteomic perspective

description: Additional file 2. Linux bash script used for InterProtScan analysis. Code used to run InterProtScan on University of Iowa Argon HPC.
DOI: 10.6084/m9.figshare.19533807
title: Additional file 3 of The evolution of microtubule associated proteins – a reference proteomic perspective

description: Additional file 3. Statistical analysis and graph generation. Code used for statistical analysis and generation of graphs.
DOI: 10.6084/m9.figshare.19533807.v1
title: Additional file 3 of The evolution of microtubule associated proteins – a reference proteomic perspective

description: Additional file 3. Statistical analysis and graph generation. Code used for statistical analysis and generation of graphs.
DOI: 10.6084/m9.figshare.19533812
title: Additional file 2 of Selection and demography drive range-wide patterns of MHC-DRB variation in mule deer

description: Additional file 2. Sample details, microsatellite and MHC genotypes per individual.
DOI: 10.6084/m9.figshare.19533809
title: Additional file 1 of Selection and demography drive range-wide patterns of MHC-DRB variation in mule deer

description: Additional file 1: Figure S1. Sequencing depth and allele calls. Figure S2. Alignment of MHC amino acid sequences. Figure S3. STRUCTURE results. Table S1. MHC allele frequencies and sequencing results by population. Table S2. Microsatellite allele frequencies by population.
DOI: 10.6084/m9.figshare.19533809.v1
title: Additional file 1 of Selection and demography drive range-wide patterns of MHC-DRB variation in mule deer

description: Additional file 1: Figure S1. Sequencing depth and allele calls. Figure S2. Alignment of MHC amino acid sequences. Figure S3. STRUCTURE results. Table S1. MHC allele frequencies and sequencing results by population. Table S2. Microsatellite allele frequencies by population.
DOI: 10.6084/m9.figshare.19533812.v1
title: Additional file 2 of Selection and demography drive range-wide patterns of MHC-DRB variation in mule deer

description: Additional file 2. Sample details, microsatellite and MHC genotypes per individual.
DOI: 10.6084/m9.figshare.19533896
title: Additional file 2 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 2: Table S1. Metadata for 13,612 Salmonella serovar I 4,[5],12:i:- strain sequences from the NCBI Pathogen Detection database.
DOI: 10.6084/m9.figshare.19533896.v1
title: Additional file 2 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 2: Table S1. Metadata for 13,612 Salmonella serovar I 4,[5],12:i:- strain sequences from the NCBI Pathogen Detection database.
DOI: 10.6084/m9.figshare.19533902
title: Additional file 4 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 4: Table S3. Salmonella serovar I 4,[5],12:i:- genes in the shell genome representing gene families present at intermediate frequencies.
DOI: 10.6084/m9.figshare.19533905.v1
title: Additional file 5 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 5: Table S4. Salmonella serovar I 4,[5],12:i:- genes in the cloud genome representing gene families present at low frequencies.
DOI: 10.6084/m9.figshare.19533902.v1
title: Additional file 4 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 4: Table S3. Salmonella serovar I 4,[5],12:i:- genes in the shell genome representing gene families present at intermediate frequencies.
DOI: 10.6084/m9.figshare.19533905
title: Additional file 5 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 5: Table S4. Salmonella serovar I 4,[5],12:i:- genes in the cloud genome representing gene families present at low frequencies.
DOI: 10.6084/m9.figshare.19533908.v1
title: Additional file 6 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 6: Table S5. GO term enrichment analysis for accessory genome cluster A.
DOI: 10.6084/m9.figshare.19533911
title: Additional file 7 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 7: Table S6. GO term enrichment analysis for accessory genome cluster B.
DOI: 10.6084/m9.figshare.19533908
title: Additional file 6 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 6: Table S5. GO term enrichment analysis for accessory genome cluster A.
DOI: 10.6084/m9.figshare.19533911.v1
title: Additional file 7 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 7: Table S6. GO term enrichment analysis for accessory genome cluster B.
DOI: 10.6084/m9.figshare.19533914
title: Additional file 8 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 8: Table S7. GO term enrichment analysis for accessory genome cluster C.
DOI: 10.6084/m9.figshare.19533914.v1
title: Additional file 8 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 8: Table S7. GO term enrichment analysis for accessory genome cluster C.
DOI: 10.6084/m9.figshare.19533917
title: Additional file 9 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 9: Table S8. Putative transmission clusters for Salmonella enterica serovar I 4,[5],12:i:- strain sequences.
DOI: 10.6084/m9.figshare.19533917.v1
title: Additional file 9 of Relationship and distribution of Salmonella enterica serovar I 4,[5],12:i:- strain sequences in the NCBI Pathogen Detection database

description: Additional file 9: Table S8. Putative transmission clusters for Salmonella enterica serovar I 4,[5],12:i:- strain sequences.
DOI: 10.6084/m9.figshare.19533957.v1
title: Additional file 1 of A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database

description: Additional file 1: Raw data of relevant clinical data of stroke patients.
DOI: 10.6084/m9.figshare.19533957
title: Additional file 1 of A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database

description: Additional file 1: Raw data of relevant clinical data of stroke patients.
DOI: 10.6084/m9.figshare.19533975
title: Additional file 1 of Diagnostic delay in soft tissue tumors: a single-center study of a university cancer center with a focus on health services research

description: Additional file 1.
DOI: 10.6084/m9.figshare.19533975.v1
title: Additional file 1 of Diagnostic delay in soft tissue tumors: a single-center study of a university cancer center with a focus on health services research

description: Additional file 1.
DOI: 10.6084/m9.figshare.19534002
title: Additional file 1 of Opening up a tailored tutor qualification program for medical students to other healthcare students – a mixed-method study

description: Additional file 1: Suplementary Table. Evaluation Data from the cohorts 2016-2020.
DOI: 10.6084/m9.figshare.19534002.v1
title: Additional file 1 of Opening up a tailored tutor qualification program for medical students to other healthcare students – a mixed-method study

description: Additional file 1: Suplementary Table. Evaluation Data from the cohorts 2016-2020.
DOI: 10.25405/data.ncl.19342055
title: RNA Extraction Yields

description: RNA Extraction yields from RNA Extraction performed on blood samples taken from patients with Graves disease who have been treated with Daratumumab, Patients with Graves Disease, and Healthy controls via the Manual Purification of Total RNA from Human Whole Blood Collected into PAXgene Blood RNA Tubes Protocol by Qiagen.
DOI: 10.25405/data.ncl.19342055.v1
title: RNA Extraction Yields

description: RNA Extraction yields from RNA Extraction performed on blood samples taken from patients with Graves disease who have been treated with Daratumumab, Patients with Graves Disease, and Healthy controls via the Manual Purification of Total RNA from Human Whole Blood Collected into PAXgene Blood RNA Tubes Protocol by Qiagen.
DOI: 10.25405/data.ncl.19406648
title: Ct and Converted Fold Gene Expression Values for RANK Expression

description: Data set including the raw Ct values from TaqMan qPCR of GD patients and GD patients treated with Daratumumab. Raw Ct values have also been converted to Fold Gene Expression values according to the 2^-(∆∆Ct) method.
DOI: 10.25405/data.ncl.19406648.v1
title: Ct and Converted Fold Gene Expression Values for RANK Expression

description: Data set including the raw Ct values from TaqMan qPCR of GD patients and GD patients treated with Daratumumab. Raw Ct values have also been converted to Fold Gene Expression values according to the 2^-(∆∆Ct) method.
DOI: 10.5281/zenodo.6420666
title: Supplementary information for 'Distinct gene expression dynamics in developing and regenerating crustacean limbs', by Sinigaglia et al.

description: Supplementary data and code for the manuscript <em>'Distinct gene expression dynamics in developing and regenerating crustacean limbs'</em>, by Sinigaglia et al.
description: Research supported by the European Union Horizon 2020 programme, grant ERC-2015-AdG #694918
DOI: 10.5281/zenodo.6405210
title: Research Artefact: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types

description: This is a research artefact for the paper: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types. This artefact is a repository consisting of the collected dataset including 447,542 React-related SO question posts and 384 representative samples that were obtained randomly. This artefact aims to enable researchers to replicate our dataset of the paper and reuse the dataset for further research.
DOI: 10.5281/zenodo.6405209
title: Research Artefact: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types

description: This is a research artefact for the paper: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types. This artefact is a repository consisting of the collected dataset including 447,542 React-related SO question posts and 384 representative samples that were obtained randomly. This artefact aims to enable researchers to replicate our dataset of the paper and reuse the dataset for further research.
DOI: 10.20375/0000-000e-c301-4
title: Protest actions in Belarus 1997-2020_documentation.pdf
DOI: 10.20375/0000-000e-c302-3
title: Protest actions in Belarus 1997-2020.pdf
DOI: 10.20375/0000-000e-c303-2
title: Protest actions in Belarus 1997-2020.xlsx
DOI: 10.48320/2b200cff-0f8a-457d-92cb-d51e91da4f00
title: Protest actions in Belarus 1997-2020
DOI: 10.5281/zenodo.6420682
title: Supplementary information for 'Distinct gene expression dynamics in developing and regenerating crustacean limbs', by Sinigaglia et al.

description: Supplementary data and code for the manuscript <em>'Distinct gene expression dynamics in developing and regenerating crustacean limbs'</em>, by Sinigaglia et al.
description: Research supported by the European Union Horizon 2020 programme, grant ERC-2015-AdG #694918
DOI: 10.5281/zenodo.6420693
title: Geometries of Mo-Isocyanide Photosensitizers

description: Geometries retrieved by the means of DFT and TD-DFT (excited state tracking) of the compounds discussed in our recent work "Deep-Red Luminescent Molybdenum(0) Complexes with Bi- and Tridentate Isocyanide Chelate Ligands".
description: The geometires are compressesd in ZIP-format.
DOI: 10.5281/zenodo.6420692
title: Geometries of Mo-Isocyanide Photosensitizers

description: Geometries retrieved by the means of DFT and TD-DFT (excited state tracking) of the compounds discussed in our recent work "Deep-Red Luminescent Molybdenum(0) Complexes with Bi- and Tridentate Isocyanide Chelate Ligands".
description: The geometires are compressesd in ZIP-format.
DOI: 10.5281/zenodo.6420659
title: LARC - LARge Cache processor research: benchmarks, tools, and logs

description: snapshot (https://gitlab.com/domke/LARC ; git hash: b7e367e0) of all the source code, patches, scripts, and collected data from the LARC simulations which has been conducted at R-CCS
description: {"references": ["arXiv:2204.02235"]}
DOI: 10.5281/zenodo.6420658
title: LARC - LARge Cache processor research: benchmarks, tools, and logs

description: snapshot (https://gitlab.com/domke/LARC ; git hash: b7e367e0) of all the source code, patches, scripts, and collected data from the LARC simulations which has been conducted at R-CCS
description: {"references": ["arXiv:2204.02235"]}
DOI: 10.6084/m9.figshare.19534243
title: Questionnaires

description: Questionnaires related to participants sleep, diet, stress and fitness level.
DOI: 10.6084/m9.figshare.19534243.v1
title: Untitled Item

description: Questionnaires related to participants sleep, diet, stress and fitness level.
DOI: 10.5281/zenodo.6420273
title: Street Spectra aggregated classifications

description: CSV file containing aggregated classifications for light sources data and metadata.
DOI: 10.5281/zenodo.6420272
title: Street Spectra aggregated classifications

description: CSV file containing aggregated classifications for light sources data and metadata.
DOI: 10.5281/zenodo.6420275
title: Street Spectra individual classifications

description: CSV file containing individual classifications for subjects data and metadata.
DOI: 10.5281/zenodo.6420274
title: Street Spectra individual classifications

description: CSV file containing individual classifications for subjects data and metadata.
DOI: 10.6084/m9.figshare.19289561
title: Supplementary Material for: Expression of Programmed Cell Death-1 and Programmed Cell Death Ligands in Nodal Peripheral T-Cell Lymphoma: Expression Pattern and Potential Prognostic Relevance

description: Medicine
DOI: 10.6084/m9.figshare.19289561.v1
title: Supplementary Material for: Expression of Programmed Cell Death-1 and Programmed Cell Death Ligands in Nodal Peripheral T-Cell Lymphoma: Expression Pattern and Potential Prognostic Relevance

description: Medicine
DOI: 10.5281/zenodo.6343977
title: Prosociality as response to slow- and fast-onset climate hazards

description: This repository contains the information videos used in the treatments, as well as the data and code that replicates tables and figures for the following paper:<br> <strong>Title:</strong> Prosociality as response to slow- and fast-onset climate hazards<br> <strong>Authors:</strong> Ivo Steimanis<sup>1</sup> & Björn Vollan<sup>1,*</sup><br> <strong>Affiliations:</strong> <sup>1</sup> Department of Economics, Philipps University Marburg, 35032 Marburg, Germany<br> <strong>*Correspondence to:</strong> Björn Vollan bjoern.vollan@wiwi.uni-marburg.de<br> <strong>ORCID:</strong> Steimanis: 0000-0002-8550-4675; Vollan: 0000-0002-5592-4185<br> <strong>Classification:</strong> Social Sciences, Economic Sciences<br> <strong>Keywords:</strong> climate hazards, prosociality, in-group favoritism, antisociality
DOI: 10.5281/zenodo.6343976
title: Prosociality as response to slow- and fast-onset climate hazards

description: This repository contains the information videos used in the treatments, as well as the data and code that replicates tables and figures for the following paper:<br> <strong>Title:</strong> Prosociality as response to slow- and fast-onset climate hazards<br> <strong>Authors:</strong> Ivo Steimanis<sup>1</sup> & Björn Vollan<sup>1,*</sup><br> <strong>Affiliations:</strong> <sup>1</sup> Department of Economics, Philipps University Marburg, 35032 Marburg, Germany<br> <strong>*Correspondence to:</strong> Björn Vollan bjoern.vollan@wiwi.uni-marburg.de<br> <strong>ORCID:</strong> Steimanis: 0000-0002-8550-4675; Vollan: 0000-0002-5592-4185<br> <strong>Classification:</strong> Social Sciences, Economic Sciences<br> <strong>Keywords:</strong> climate hazards, prosociality, in-group favoritism, antisociality
DOI: 10.6084/m9.figshare.19534219
title: Demographics.csv

description: Participant's demographics and body composition data
DOI: 10.6084/m9.figshare.19534216
title: Study_Information.csv

description: Information regarding the start and end of each condition in the data collection protocol.
DOI: 10.6084/m9.figshare.19534216.v1
title: Study_Information.csv

description: Information regarding the start and end of each condition in the data collection protocol.
DOI: 10.21942/uva.14519475.v2
title: METADATA RECORD: Psychological Coping and Behavioral Adjustment among Older Adults in Times of COVID-19: Exploring the Protective Role of Working Memory and Habit Propensity

description: Data is divided over multiple datafiles, linked by subjectID (ppnr). A codebook is also included, which explains what each datafile and variables includes and gives specific instructions on how (and in which order) to use the amended analysis scripts (in R).<br>For more information, please contact l.p.brinkhof@uva.nl. Data is available upon reasonable request. The codebook and analysis scripts are openly accessible via https://doi.org/10.21942/uva.14610132<br><br>
DOI: 10.21942/uva.14519475.v1
title: METADATA RECORD: Mental Resilience among Older Adults in Times of COVID-19: The Role of Working Memory and Habit Propensity

description: Data is divided over multiple datafiles, linked by subjectID (ppnr). A codebook is also included, which explains what each datafile and variables includes and gives specific instructions on how (and in which order) to use the amended analysis scripts (in R).<br>For more information, please contact l.p.brinkhof@uva.nl. Data is available upon reasonable request. The codebook and analysis scripts are openly accessible via https://doi.org/10.21942/uva.14610132<br><br>
DOI: 10.6084/m9.figshare.18131255
title: code&data.zip

description: Five data sets and FCM, ARIMA, it2fcm prediction codes
DOI: 10.5281/zenodo.6417900
title: Mars Express thermal power dataset

description: This dataset contains several features related to the power resources and general situation of ESA's Mars Express spacecraft. Its purpose is the design of predictive models related to thermal power consumption. Having an efficient planning on the allocation of power is critical, as it allows to maximize the scientific gain and extend the life-time of the overall mission. The data has been split into two sets: MEX1 containing 5795 orbits from 01.01.2015 to 18.08.2019 MEX2 containing 1507 orbits from 08.08.2019 to 31.10.2020 MEX1 can be seen as a training set. It was used to fit a reference model (THP 2.0 - Thermal Power Model) which is available in the <strong>thp2 </strong>column. MEX2 can be seen as a test set, providing previously unseen orbits. All the features are aggregated for each full orbit of the spacecraft. They include: <strong>timestamp</strong>: time [unix timestamp] <strong>sme</strong>: the value of Sun-Mars-Earth angle [deg] <strong>s_m_distance</strong>: Sun-Mars distance in [km] <strong>orbital_p</strong>: length of orbital period [s] <strong>average_power</strong>: measured average power consumption [W] <strong>right_flag</strong>: Guidance flag, North/South flag, determines whether LVA is exposed to sun, 1 = yes, 0 = no <strong>eclipse_l</strong>: length of the eclipse in orbit [s] <strong>full_off</strong>: whether full off or drive off, full off = 1, only drive off = 0 <strong>average_xtx</strong>: average current drawn by transmitter component [A] (multiply by 28V to get W) <strong>gsep_dur</strong>: time spent in GSEP [s] <strong>lvah</strong>: Heating of the LVA (launch vehicle adapter) [combined feature] <strong>sh</strong>: Solar heating [combined feature] <strong>thp2</strong>: output of the reference model THP2 model [W] <strong>lvah </strong>is a heating related to the orientation of the spacecraft and is computed by \(LVAH = SME \cdot \text{right_flag} \) <strong>sh</strong> is another aggregated feature representing the total solar power influx. It is computed by: \(SH = \left( 1 - \frac{\text{eclipse_d}}{\text{orbital_p}}\right) \frac{3.846 \cdot 10^{26} W}{4 \cdot \pi \cdot (\text{s_m_distance} \cdot 1000)^2} \) <strong>average_power</strong> is the target of prediction and thus of interest to estimate from other parameters. <strong>thp2 </strong>provides a reference model that has been developed by ESA engineers to predict <strong>average_power.</strong>
DOI: 10.5281/zenodo.6417899
title: Mars Express thermal power dataset

description: This dataset contains several features related to the power resources and general situation of ESA's Mars Express spacecraft. Its purpose is the design of predictive models related to thermal power consumption. Having an efficient planning on the allocation of power is critical, as it allows to maximize the scientific gain and extend the life-time of the overall mission. The data has been split into two sets: MEX1 containing 5795 orbits from 01.01.2015 to 18.08.2019 MEX2 containing 1507 orbits from 08.08.2019 to 31.10.2020 MEX1 can be seen as a training set. It was used to fit a reference model (THP 2.0 - Thermal Power Model) which is available in the <strong>thp2 </strong>column. MEX2 can be seen as a test set, providing previously unseen orbits. All the features are aggregated for each full orbit of the spacecraft. They include: <strong>timestamp</strong>: time [unix timestamp] <strong>sme</strong>: the value of Sun-Mars-Earth angle [deg] <strong>s_m_distance</strong>: Sun-Mars distance in [km] <strong>orbital_p</strong>: length of orbital period [s] <strong>average_power</strong>: measured average power consumption [W] <strong>right_flag</strong>: Guidance flag, North/South flag, determines whether LVA is exposed to sun, 1 = yes, 0 = no <strong>eclipse_l</strong>: length of the eclipse in orbit [s] <strong>full_off</strong>: whether full off or drive off, full off = 1, only drive off = 0 <strong>average_xtx</strong>: average current drawn by transmitter component [A] (multiply by 28V to get W) <strong>gsep_dur</strong>: time spent in GSEP [s] <strong>lvah</strong>: Heating of the LVA (launch vehicle adapter) [combined feature] <strong>sh</strong>: Solar heating [combined feature] <strong>thp2</strong>: output of the reference model THP2 model [W] <strong>lvah </strong>is a heating related to the orientation of the spacecraft and is computed by \(LVAH = SME \cdot \text{right_flag} \) <strong>sh</strong> is another aggregated feature representing the total solar power influx. It is computed by: \(SH = \left( 1 - \frac{\text{eclipse_d}}{\text{orbital_p}}\right) \frac{3.846 \cdot 10^{26} W}{4 \cdot \pi \cdot (\text{s_m_distance} \cdot 1000)^2} \) <strong>average_power</strong> is the target of prediction and thus of interest to estimate from other parameters. <strong>thp2 </strong>provides a reference model that has been developed by ESA engineers to predict <strong>average_power.</strong>