cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10091009
title: 3D cell tracking dataset of bacterial biofilm deformation and recovery under shear flow

description: This MAT file includes dataset in the scientific article "In vivo microrheology reveals elastic and plastic responses inside three-dimensional bacterial biofilms" by the following authors: Takuya Ohmura, Dominic Skinner, Konstantin Neuhaus, Gary Choi, Jörn Dunkel, Knut Drescher. This MAT file can be conveniently opened with Matlab. 
When you open this file with Matlab, you will find 4 variables stored in the file "Data_v3_loop2_newRxy_bidx1_274.mat"
Variable 1: name_parameter
Names of 31 parameters for columns in 3 variables: 'deformation_all', 'recovery_all' , 'plasticity_all'. The parameters have cell displacements, orientations, coordinates, biofilm indexes and experimental conditions. When the parameters have units, they are shown in the names. 

'x_Frame1[um]'
'y_Frame1[um]'
'z_Frame1[um]'
'Normalized_x_Frame1'
'Normalized_y_Frame1'
'Normalized_z_Frame1'
'LocalDensity_Frame1(VolumeFractionAround30px)'
'LocalCellNumberDensity_Frame1(VolumeFractionAround30px)'
'NematicOrderParameter_Frame1'
'AlignmentFlow_Frame1[rad]'
'AlignmentRadial_Frame1[rad]'
'AlignmentZaxis_Frame1[rad]'
'd_x[um]'
'd_y[um]'
'd_z[um]'
'Normalized_d_x'
'Normalized_d_y'
'Normalized_d_z'
'd_LocalDensity'
'd_LocalNumberDensity[um^-3]'
'd_NematicOrderParameter'
'd_AlignmentFlow[rad]'
'd_AlignmentRadial[rad]'
'd_AlignmentZaxis[rad]'
'CrossProduct[um^2]'
'BiofilmIndexNumber'
'Biofilm_width[um]'
'Biofilm_height[um]'
'Biofilm_volume[um^3]'
'FlowRate[ul/min]'
'Duration[min]'
Variable 2: deformation_all
The rows indicate 704198 single-cell trackings in deformations of 274 bacterial biofilms. Each of the 274 bacterial biofilms has a different 'BiofilmIndexNumber'. The columns indicate 31 parameters which names are shown in 'name_parameter'.
Variable 3: recovery_all
The rows indicate 685991 single-cell trackings in recoveries of 274 bacterial biofilms. Each of the 274 bacterial biofilms has a different 'BiofilmIndexNumber'. The columns indicate 31 parameters which names are shown in 'name_parameter'.
Variable 4: plasticity_all
The rows indicate 665749 single-cell trackings in plasticities of 274 bacterial biofilms. Each of the 274 bacterial biofilms has a different 'BiofilmIndexNumber'. The columns indicate 31 parameters which names are shown in 'name_parameter'.
 
To plot the cell tracked data in the figures of the article, use our MATLAB code uploaded in our GitHub (https://github.com/knutdrescher/biofilm-rheology).
DOI: 10.5281/zenodo.10091191
title: PROSPECTS FOR DEPLOYMENT OF PRODUCTION FORCES IN SOCIO-ECONOMIC DEVELOPMENT OF REGIONS
DOI: 10.5281/zenodo.10091192
title: PROSPECTS FOR DEPLOYMENT OF PRODUCTION FORCES IN SOCIO-ECONOMIC DEVELOPMENT OF REGIONS
DOI: 10.5281/zenodo.10091197
title: CHAKANA TO'LOV TIZIMLARI SAMARADORLIGINI OSHIRISH BORASIDA MARKAZIY BANKNING OLIB BORGAN FAOLIYATINING NATIJALARI
DOI: 10.5281/zenodo.10091198
title: CHAKANA TO'LOV TIZIMLARI SAMARADORLIGINI OSHIRISH BORASIDA MARKAZIY BANKNING OLIB BORGAN FAOLIYATINING NATIJALARI
DOI: 10.5281/zenodo.10091209
title: SPECIFIC RHIZOBACTERIA PROTECT WHEAT PLANTS FROM PHYTOPATHOGENIC FUNGI.
DOI: 10.5281/zenodo.10091208
title: SPECIFIC RHIZOBACTERIA PROTECT WHEAT PLANTS FROM PHYTOPATHOGENIC FUNGI.
DOI: 10.5281/zenodo.10091221
title: STRUCTURAL CLASSIFICATION OF UZBEK NATIONAL INSTRUMENTS
DOI: 10.5281/zenodo.10091220
title: STRUCTURAL CLASSIFICATION OF UZBEK NATIONAL INSTRUMENTS
DOI: 10.5281/zenodo.10091227
title: Answers to the CVBioinfo 2023 assessment questionnaire
DOI: 10.5281/zenodo.10091226
title: Answers to the CVBioinfo 2023 assessment questionnaire
DOI: 10.5281/zenodo.10091267
title: Input data for ismip6-gris-results-processing

description: This archive provides the input data used for scalar processing of ISMIP6 Greenland ice sheet output data. 
Processing scripts are available on github (https://github.com/ismip/ismip6-gris-results-processing) and have been additionally archived on zenodo (https://zenodo.org/records/3939115).
Results are related to publication "The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6" , Goelzer et al., 2020
DOI: 10.5281/zenodo.10091268
title: Input data for ismip6-gris-results-processing

description: This archive provides the input data used for scalar processing of ISMIP6 Greenland ice sheet output data. 
Processing scripts are available on github (https://github.com/ismip/ismip6-gris-results-processing) and have been additionally archived on zenodo (https://zenodo.org/records/3939115).
Results are related to publication "The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6" , Goelzer et al., 2020
DOI: 10.5281/zenodo.10091296
title: IEC Standards List Published from 2018-01-01 to Oct 23
DOI: 10.5281/zenodo.10091297
title: IEC Standards List Published from 2018-01-01 to Oct 23
DOI: 10.25403/upresearchdata.24459556
title: Female undergraduate students' individual experiences of mental illness stigma

description: Dataset for a qualitative study, which is aiming to explore and understand how undergraduate university students in South Africa experiences mental illness stigma. This includes how it affects their perceptions of mental illness and their decision to seek mental health care. The study used in-depth semi-structured interviews which were conducted with nine participants across various faculties about their experiences in their undergraduate studies. Thematic analysis was used to analyse the data, various themes were generated from the areas that were explored with the aim of answering the objectives of the study. The study used pseudonyms to protect the real identities of participants.
DOI: 10.25403/upresearchdata.24459556.v1
title: Female undergraduate students' individual experiences of mental illness stigma

description: Dataset for a qualitative study, which is aiming to explore and understand how undergraduate university students in South Africa experiences mental illness stigma. This includes how it affects their perceptions of mental illness and their decision to seek mental health care. The study used in-depth semi-structured interviews which were conducted with nine participants across various faculties about their experiences in their undergraduate studies. Thematic analysis was used to analyse the data, various themes were generated from the areas that were explored with the aim of answering the objectives of the study. The study used pseudonyms to protect the real identities of participants.
DOI: 10.48544/e789330f-8c4e-4a4a-8109-1c34de33caae
title: Ontwikkelen van een  persoonlijke visie
DOI: 10.5281/zenodo.10091136
title: Dataset for paper "Multidetection scheme for transient-grating-based spectroscopy" by Brioschi M. et al.

description: This dataset complements the publication "Multidetection scheme for transient-grating-based spectroscopy" by Brioschi M. et al.
The data hierarchy is explained in the file "Readme.docx", which also reports relevant metadata.
DOI: 10.5281/zenodo.10091325
title: Circum-Antarctic data used in "Tipping point behaviour of ice-sheet grounding-zone melting due to ocean water intrusion" by Bradley and Hewitt

description: The file 'Antarctica-data.mat' contains the following fields:
'x'       [units: m]   x position of grid points
'y'       [units m]    y position of grid points
'tf_max'  [units: C]   maximum thermal forcing from Adusumilli et al. 2020 (doi: https://doi.org/10.1038/s41561-020-0616-z)
'H'       [units: m]   ice thickness from Bedmachine V3
'B'       [units: m]   bed elevation from Bedmachine V3
'mask'    [units: n/a] Bedmachine V3 mask
'isedge'  [units: n/a] Logical array with 1 corresponding to edges of ice shelves and 0 otherwise
'isgl'    [units: n/a] Logical array with 1 corresponding to grounding line points and 0 otherwise
'isfront' [units: n/a] Logical array with 1 corresponding to ice fronts and 0 otherwise
'vx'      [units: m/a] Ice velocity in the x-direction from ITS_LIVE 240m mosaic
'vy'      [units: m/a] Ice velocity in the y-direction from ITS_LIVE 240m mosaic
DOI: 10.5281/zenodo.10091326
title: Circum-Antarctic data used in "Tipping point behaviour of ice-sheet grounding-zone melting due to ocean water intrusion" by Bradley and Hewitt

description: The file 'Antarctica-data.mat' contains the following fields:
'x'       [units: m]   x position of grid points
'y'       [units m]    y position of grid points
'tf_max'  [units: C]   maximum thermal forcing from Adusumilli et al. 2020 (doi: https://doi.org/10.1038/s41561-020-0616-z)
'H'       [units: m]   ice thickness from Bedmachine V3
'B'       [units: m]   bed elevation from Bedmachine V3
'mask'    [units: n/a] Bedmachine V3 mask
'isedge'  [units: n/a] Logical array with 1 corresponding to edges of ice shelves and 0 otherwise
'isgl'    [units: n/a] Logical array with 1 corresponding to grounding line points and 0 otherwise
'isfront' [units: n/a] Logical array with 1 corresponding to ice fronts and 0 otherwise
'vx'      [units: m/a] Ice velocity in the x-direction from ITS_LIVE 240m mosaic
'vy'      [units: m/a] Ice velocity in the y-direction from ITS_LIVE 240m mosaic
DOI: 10.5281/zenodo.10091137
title: Dataset for paper "Multidetection scheme for transient-grating-based spectroscopy" by Brioschi M. et al.

description: This dataset complements the publication "Multidetection scheme for transient-grating-based spectroscopy" by Brioschi M. et al.
The data hierarchy is explained in the file "Readme.docx", which also reports relevant metadata.
DOI: 10.5281/zenodo.10067669
title: Inlist and Source Code Files for "Fossil Signatures of Main-sequence Convective Core Overshoot Estimated through Asteroseismic Analyses"

description: MESA (r12778) and GYRE (version 6.0) inlist files used in the work described in "Fossil Signatures of Main-sequence Convective Core Overshoot Estimated through Asteroseismic Analyses".
Two subdirectories are provided in the archive:
1) The directory called "inlists" contains different MESA inlist files for different evolutionary period (pms=pre main sequence, ms=main sequence, and rgb=red giant branch) of the stellar model. The file named "inlist_0all" is applied to all evolutionary periods. The different inlist files for the different evolutionary states are called by putting their names in the "inlist" file, for example the include file named "inlist" evolves a MESA model from the pre main sequence until ZAMS (using the stop_near_zams = .true. option in the "inlist_1pms" file). An example gyre (version 6.0) inlist is also included in the "inlists" subdirectory.  The Python scripts used to evaluate the matrix elements (which are used to determine the dipolar mixed-mode frequencies) discussed in this work are available at https://gitlab.com/darthoctopus/mesatricks. 
2) Custom stopping conditions (used for stopping a model before the red giant branch) as well as a custom diffusion cutoff (see Viani et al. 2018, ApJ, 858, 28) are included in the run_star_extras.f file in the "src" subdirectory.
DOI: 10.5281/zenodo.10067668
title: Inlist and Source Code Files for "Fossil Signatures of Main-sequence Convective Core Overshoot Estimated through Asteroseismic Analyses"

description: MESA (r12778) and GYRE (version 6.0) inlist files used in the work described in "Fossil Signatures of Main-sequence Convective Core Overshoot Estimated through Asteroseismic Analyses".
Two subdirectories are provided in the archive:
1) The directory called "inlists" contains different MESA inlist files for different evolutionary period (pms=pre main sequence, ms=main sequence, and rgb=red giant branch) of the stellar model. The file named "inlist_0all" is applied to all evolutionary periods. The different inlist files for the different evolutionary states are called by putting their names in the "inlist" file, for example the include file named "inlist" evolves a MESA model from the pre main sequence until ZAMS (using the stop_near_zams = .true. option in the "inlist_1pms" file). An example gyre (version 6.0) inlist is also included in the "inlists" subdirectory.  The Python scripts used to evaluate the matrix elements (which are used to determine the dipolar mixed-mode frequencies) discussed in this work are available at https://gitlab.com/darthoctopus/mesatricks. 
2) Custom stopping conditions (used for stopping a model before the red giant branch) as well as a custom diffusion cutoff (see Viani et al. 2018, ApJ, 858, 28) are included in the run_star_extras.f file in the "src" subdirectory.
DOI: 10.5281/zenodo.10091123
title: Simulated Sea Ice and Snow Thickness along the MOSAIC drift trajectory, from AWI-CM-1 and AWI-CM-3 nudged simulations.

description: Sea ice thickness and snow (on sea ice) thickness from nudged simulations performed using the coupled climate models AWI-CM-1 (zonal wavenumber truncated at 20) and AWI-CM-3 (T20 truncation; Pithan et al., 2023) with a 1h relaxation time. The model data is collocated to the drift trajectory of the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate (MOSAIC) across the Arctic Ocean, from 01 September 2019 until 31 August 2020. The collocation is done daily, by finding all model grid cells within the area covered by the distributed network of snow and sea ice measuring instruments deployed and maintained during MOSAIC. The sea ice and snow thickness is then spatially averaged for each day.  
Data is provided in three .nc files for each model and variable (m_ice for sea ice thickness, m_snow for snow thickness) representing ensemble members 1 to 3.
description: This work was supported by funding and resources from Helmholtz Research Field Earth & Environment for the Innovation Pool Project SCENIC. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba1264. We thank Sebastian Rast (MPI-M) for support with the spectral nudging in ECHAM, and the ESM-Tools (Barbi et al. 2021) staff for their assistance during the simulations.
DOI: 10.5281/zenodo.10091122
title: Simulated Sea Ice and Snow Thickness along the MOSAIC drift trajectory, from AWI-CM-1 and AWI-CM-3 nudged simulations.

description: Sea ice thickness and snow (on sea ice) thickness from nudged simulations performed using the coupled climate models AWI-CM-1 (zonal wavenumber truncated at 20) and AWI-CM-3 (T20 truncation; Pithan et al., 2023) with a 1h relaxation time. The model data is collocated to the drift trajectory of the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate (MOSAIC) across the Arctic Ocean, from 01 September 2019 until 31 August 2020. The collocation is done daily, by finding all model grid cells within the area covered by the distributed network of snow and sea ice measuring instruments deployed and maintained during MOSAIC. The sea ice and snow thickness is then spatially averaged for each day.  
Data is provided in three .nc files for each model and variable (m_ice for sea ice thickness, m_snow for snow thickness) representing ensemble members 1 to 3.
description: This work was supported by funding and resources from Helmholtz Research Field Earth & Environment for the Innovation Pool Project SCENIC. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba1264. We thank Sebastian Rast (MPI-M) for support with the spectral nudging in ECHAM, and the ESM-Tools (Barbi et al. 2021) staff for their assistance during the simulations.
DOI: 10.17034/7b295b79-6713-47bf-a850-02dee05907e8
title: Dataset for "Ferroelectric Domain Wall p-n Junctions"

description: These files are the raw data used to generate the plots shown in the Figures in Maguire, Jesi; McCluskey, Conor; Holsgrove, Kristina; Suna, Ahmet; Kumar, Amit; McQuaid, Raymond; Gregg, J. Nano Lett 2023. Abstract We have used high-voltage Kelvin Probe Force Microscopy to map the spatial distribution of electrical potential, dropped along curved current-carrying conducting domain walls, in x-cut single crystal ferroelectric lithium niobate thin films. We find that in-operando potential profiles and extracted electric fields, associated with p-n junctions contained within the walls, can be fully rationalised through expected variations in wall resistivity alone. There is no need to invoke additional physics (carrier depletion zones, space-charge fields) normally associated with extrinsically doped semiconductor p-n junctions. Indeed, we argue that this should not even be expected, as inherent Fermi level differences between p- and n- regions, at the core of conventional p-n junction behaviour, cannot occur in domain walls that are surrounded by a common matrix. This is important for domain wall nanoelectronics, as such in-wall junctions will neither act as diodes nor facilitate transistors in the same way as extrinsic semiconducting systems do.
DOI: 10.5281/zenodo.10089247
title: Atlas Cortex SD processed data
DOI: 10.5281/zenodo.10091236
title: Atlas Cortex SD processed data
DOI: 10.5281/zenodo.10091352
title: Dataset for paper "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.

description: This dataset complements the publication "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.
The data hierarchy is explained in the file "Readme.docx", which also reports relevant metadata.
DOI: 10.5281/zenodo.10078997
title: Atlas Cortex SD processed data
DOI: 10.5281/zenodo.10078998
title: Atlas Cortex SD processed data
DOI: 10.5281/zenodo.10091351
title: Dataset for paper "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.

description: This dataset complements the publication "All-Optical Generation and Time-Resolved Polarimetry of Magnetoacoustic Resonances via Transient Grating Spectroscopy" by Carrara P. et al.
The data hierarchy is explained in the file "Readme.docx", which also reports relevant metadata.
DOI: 10.5281/zenodo.7969299
title: TCCIA public data

description: A list of CircRNA IDs identified in TCCIA cohorts.
DOI: 10.5281/zenodo.10057129
title: TCCIA public data

description: Curated CircRNA IDs identified in TCCIA cohorts with an Ensemble approach.
DOI: 10.5281/zenodo.10091408
title: TCCIA public data

description: Curated CircRNA IDs identified in TCCIA cohorts with an Ensemble approach and 4 raw methods.
DOI: 10.5281/zenodo.7969298
title: TCCIA public data

description: Curated CircRNA IDs identified in TCCIA cohorts with an Ensemble approach and 4 raw methods.
DOI: 10.6084/m9.figshare.24463666
title: North Atlantic Body Condition Peer Review Data Repository

description: North Atlantic Humpback Whale Body Condition Raw Data and Code for Napoli et al.
DOI: 10.6084/m9.figshare.24463666.v3
title: North Atlantic Body Condition Peer Review Data Repository

description: North Atlantic Humpback Whale Body Condition Raw Data and Code for Napoli et al.
DOI: 10.6084/m9.figshare.24463666.v2
title: Untitled Item

description: North Atlantic Humpback Whale Body Condition Raw Data and Code for Napoli et al.
DOI: 10.5517/ccdc.csd.cc2fb464
title: CCDC 2244065: Experimental Crystal Structure Determination

description: Related Article: Xiudu  Zhang|2023|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: 10.17037/data.00003690
title: Data for: "Neonatal mortality risk for vulnerable newborn types in 15 countries using 125.5 million nationwide birth outcome records, 2000–2020"

description: Data collected as part of a multi-country, population-based study to compare neonatal mortality risks by birthweight categories, gestational age, and newborn types.
description: We analysed routinely collected data on 125.5 million live births from 1 January 2000 to 31 December 2020 from 15 participating countries. Each country analysed their data and aggregated tables were shared online.
DOI: 10.5281/zenodo.10083759
title: Evaluation of different grow-out systems for oysters in Brazil

description: Aim: Evaluation of different grow-out systems for oysters (Crassostrea gasar).
1) Six systems were tested; Fixed PVC table, Fixed rope table, Floating PVC table, Galvanized steel floating table, BST basket system, Pillows fixed on rope according to the traditional method of the producers of Sergipe.
2) Three systems were tested; Fixed PVC table, Galvanized steel floating table, Pillows fixed on rope according to the traditional method of the producers of Sergipe.
Data includes growth of oysters in different grow-out systems. Data originates from the Brazilian northeast coast.
DOI: 10.5281/zenodo.10083822
title: Evaluation of different seed collection systems for oysters in Brazil

description: Aim: Evaluation of different substrates for making artificial oyster seed collectors.
1) Four substrate types were tested: sanded bottles, flexible smooth PVC strips, flexible sanded PVC strips and factory-textured PVC strips.
2) Four substrate types were tested: sanded bottles, flexible smooth PVC strips, coupelles and commercial Zapco seed collector.
Data includes number of oyster seeds collected per square centimeter. The data originates from the Brazilian Northeast coast.
DOI: 10.5281/zenodo.10091453
title: CURRENT APPROACHES TO TREATMENT OF CHRONIC KIDNEY DISEASE COMPLICATED NEPHROGENIC HYPERTENSION
DOI: 10.5281/zenodo.10091454
title: CURRENT APPROACHES TO TREATMENT OF CHRONIC KIDNEY DISEASE COMPLICATED NEPHROGENIC HYPERTENSION
DOI: 10.6084/m9.figshare.22802777
title: Middleton et al Modeling craniofacial growth Supplemental Information

description: Supplemental Information for "Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton"<br>Files included in this archive<br><b>README.txt</b>This file.<br><b>CF_functions.R</b>Miscellaneous functions common to both sets of analyses. This file is loaded by the others.<br><b>CF_Growth_Cross_Sectional_Fitter.R</b>R script to fit the cross-sectional model. This file can be executed directly to analyze a single sex/trait combination or via Rscript in a batch.<br><b>CF_Growth_Longitudinal_Fitter.R</b>R script to fit the longitudinal model. This file can be executed directly to analyze a single sex/trait combination or via Rscript in a batch.<br><b>longitudinal_model.stan</b>Stan code for the longitudinal model. Used by CF_Growth_Longitudinal_Fitter.R<br><b>xs_model.stan</b>Stan code for the cross-sectional model. Used by CF_Growth_Cross_Sectional_Fitter.R<br><b>XS_Longitudinal_Comparison.Rmd</b>Rmarkdown file that carries out post-processing on the samples for each of the sex/trait combinations. This file can be rendered using only the outputs saved in Generated_Data and Generated_Data_XS (without re-sampling the models).<br><b>Data/DL_Priors.xlsx</b>Contains the double logistic model priors<br><b>Generated_Data</b>The stan samples for the longitudinal models, with four files per sex/trait (one for each chain).<br><b>Generated_Data_XS</b>The stan samples for the cross-sectional models. To reduce the file count, these files are already saved in Rds format after combining the chains.