cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8198763
title: Data on a citation context analysis focusing on natural sciences and social sciences and humanities

description: This dataset contains data on citation context analysis between natural sciences (NS) and social sciences and humanities (SSH). In particular, the data were created through manual coding of each citation between papers related to SDG7 (renewable energy) and SDG13 (climate change) and papers cited by them. This dataset consists of 9 files, associated with the article: Nishikawa, K. How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities. Scientometrics (2023). https://doi.org/10.1007/s11192-023-04664-y The files are numbered as follows: 00 – README 01 – Data by citation pair for SDG7 (original) 02 – Data by citation pair for SDG13 (original) 03 – Data by mention location for SDG7 (original) 04 – Data by mention location for SDG13 (original) 05 – Data by citation pair for SDG7 (additional) 06 – Data by citation pair for SDG13 (additional) 07 – Data by mention location for SDG7 (additional) 08 – Data by mention location for SDG13 (additional) See README for more information.
description: {"references": ["Nishikawa, K. How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities. Scientometrics (2023). https://doi.org/10.1007/s11192-023-04664-y"]}
DOI: 10.5281/zenodo.8198714
title: Sint Maartenskliniek - IMU Gait Analysis (Validation study, release tag v1.1.0)

description: https://github.com/SintMaartenskliniek/IMU_GaitAnalysis/releases/tag/v1.1.0
DOI: 10.5281/zenodo.8198713
title: Sint Maartenskliniek - IMU Gait Analysis (Validation study, release tag v1.1.0)

description: https://github.com/SintMaartenskliniek/IMU_GaitAnalysis/releases/tag/v1.1.0
DOI: 10.34619/30qc-jzno
title: Multilingual Multidomain Dictionary

description: Multilingual Multidomain Dictionary é uma base de dados criada a partir dos trabalhos desenvolvidos pelos alunos da UC Terminologia (NOVA FCSH) durante o 1º semestre do ano letivo 2022-2023 (1º ciclo de estudos). Os dados terminológicos que compõem as fichas foram extraídos de corpora de especialidade compilados pelos alunos. Os domínios de especialidade dos glossários desenvolvidos em aula foram escolhidos pelos elementos de cada grupo de trabalho.
description: Ramos, Margarida; Costa, Rute (2023). Multilingual Multidomain Dictionary [dataset]. NOVA CLUNL.
DOI: 10.6084/m9.figshare.23799399
title: D11_COVID1.rds

description: Seurat object with the scRNA-Seq dataset of human peripheral blood CD4 T lymphocytes.Donor ID: D11Sex: MaleAge: 42Tissue: Peripheral BloodTissue Details: Sorted CD4 Effector/memory T cells (gated as CD4+ NOT[CD27+ CD45RA+])Collection Date: 30.04.2021For raw data, and metadata details, please refer to NCBI SRA (BioProject: PRJNA995237)The object is used in this analysis pipeline.Seurat metadata includes the most frequent TCR alpha and TCR beta clonotypes in cells.<br><br>
DOI: 10.6084/m9.figshare.23799399.v1
title: D11_COVID1.rds

description: Seurat object with the scRNA-Seq dataset of human peripheral blood CD4 T lymphocytes.Donor ID: D11Sex: MaleAge: 42Tissue: Peripheral BloodTissue Details: Sorted CD4 Effector/memory T cells (gated as CD4+ NOT[CD27+ CD45RA+])Collection Date: 30.04.2021For raw data, and metadata details, please refer to NCBI SRA (BioProject: PRJNA995237)The object is used in this analysis pipeline.Seurat metadata includes the most frequent TCR alpha and TCR beta clonotypes in cells.<br><br>
DOI: 10.6084/m9.figshare.23799405
title: D11_COVID2_rep1.rds

description: Seurat object with the scRNA-Seq dataset of human peripheral blood CD4 T lymphocytes.Donor ID: D11Sex: MaleAge: 43Tissue: Peripheral BloodTissue Details: Sorted CD4 Effector/memory T cells (gated as CD4+ NOT[CD27+ CD45RA+])Collection Date: 24.01.2022For raw data, and metadata details, please refer to NCBI SRA (BioProject: PRJNA995237)The object is used in this analysis pipeline.Seurat metadata includes the most frequent TCR alpha and TCR beta clonotypes in cells.
DOI: 10.6084/m9.figshare.23799405.v1
title: D11_COVID2_rep1.rds

description: Seurat object with the scRNA-Seq dataset of human peripheral blood CD4 T lymphocytes.Donor ID: D11Sex: MaleAge: 43Tissue: Peripheral BloodTissue Details: Sorted CD4 Effector/memory T cells (gated as CD4+ NOT[CD27+ CD45RA+])Collection Date: 24.01.2022For raw data, and metadata details, please refer to NCBI SRA (BioProject: PRJNA995237)The object is used in this analysis pipeline.Seurat metadata includes the most frequent TCR alpha and TCR beta clonotypes in cells.
DOI: 10.6084/m9.figshare.23799408
title: D11_COVID2_rep2.rds

description: Seurat object with the scRNA-Seq dataset of human peripheral blood CD4 T lymphocytes.Donor ID: D11Sex: MaleAge: 43Tissue: Peripheral BloodTissue Details: Sorted CD4 Effector/memory T cells (gated as CD4+ NOT[CD27+ CD45RA+])Collection Date: 24.01.2022For raw data, and metadata details, please refer to NCBI SRA (BioProject: PRJNA995237)The object is used in this analysis pipeline.Seurat metadata includes the most frequent TCR alpha and TCR beta clonotypes in cells.
DOI: 10.6084/m9.figshare.23799408.v1
title: D11_COVID2_rep2.rds

description: Seurat object with the scRNA-Seq dataset of human peripheral blood CD4 T lymphocytes.Donor ID: D11Sex: MaleAge: 43Tissue: Peripheral BloodTissue Details: Sorted CD4 Effector/memory T cells (gated as CD4+ NOT[CD27+ CD45RA+])Collection Date: 24.01.2022For raw data, and metadata details, please refer to NCBI SRA (BioProject: PRJNA995237)The object is used in this analysis pipeline.Seurat metadata includes the most frequent TCR alpha and TCR beta clonotypes in cells.
DOI: 10.6084/m9.figshare.23807355
title: Soil biogeochemical variables

description: Soil biogeochemistry data
DOI: 10.6084/m9.figshare.23807352
title: Soil respiration data

description: Measured rates of soil respiration
DOI: 10.6084/m9.figshare.23807352.v1
title: Soil respiration data

description: Measured rates of soil respiration
DOI: 10.21227/bmjt-3a29
title: Parameters in paper “Distributed Optimal load Frequency Control in Power Systems Considering Multiple Physical Constraints and Time Delay via ADRC”.

description: With the increasing penetration of renewable energy sources in power systems, the distributed optimal control (DOC) method has been regarded as an effective way to integrally solve the load frequency control and economic dispatch problem in real time. Considering the multiple physical constraints and time delay of power systems, this paper proposes two novel DOC methods which are practical and applicable to engineering. Firstly, based on the basic active disturbance rejection control (ADRC) based DOC method, the positive projection operators are introduced to handle the generation saturation constraints and thermal constraints of tie-lines. And the Lyapunov stability of this method is theoretically proved. Then, a delay-compensated extended state observer is designed to further develop the DOC method that could deal with both multiple physical constraints and time delay. Finally, simulation results are presented and analyzed to verify the effectiveness of the proposed methods.This file is about the Parameters in paper Distributed Optimal load Frequency Control in Power Systems Considering Multiple Physical Constraints and Time Delay via ADRC.
DOI: 10.6084/m9.figshare.23735524
title: Interspecies interactions in mixed-species biofilms formed by <i>Enterococcus faecalis</i> and gram-negative bacteria isolated from polymicrobial diabetic foot ulcers

description: Diabetic foot ulcers (DFU) are exacerbated by bacterial colonisation. Here, a high prevalence of <i>Enterococcus faecalis</i> was observed in DFU patients from an Argentinean hospital. <i>E. faecalis</i> was frequently co-isolated with <i>Escherichia coli</i>, <i>Morganella morganii</i>, and <i>Pseudomonas aeruginosa</i>. The effect of interspecies interactions on bacterial growth was investigated in mixed-species macrocolony biofilms developed in Lubbock-Glc-agar. Similar cell counts were found for <i>E. faecalis</i> and <i>M. morganii</i> growing in mixed and single-species biofilms. An <i>E. faecalis</i> strain showed 1 Log higher cell counts in mixed biofilms with <i>E. coli</i>. Remarkably, <i>E. faecalis</i> strains showed 2 to 4 Log higher cell counts in mixed biofilms with <i>P. aeruginosa</i>. This effect was not observed in planktonic growth or biofilms developed in tryptic soy agar. The present findings reveal bacterial interactions that benefit <i>E. faecalis</i> in mixed-species biofilms, mainly with <i>P. aeruginosa</i>, in a medium that partially mimics the nutrients found in DFU.
DOI: 10.6084/m9.figshare.23735524.v1
title: Interspecies interactions in mixed-species biofilms formed by <i>Enterococcus faecalis</i> and gram-negative bacteria isolated from polymicrobial diabetic foot ulcers

description: Diabetic foot ulcers (DFU) are exacerbated by bacterial colonisation. Here, a high prevalence of <i>Enterococcus faecalis</i> was observed in DFU patients from an Argentinean hospital. <i>E. faecalis</i> was frequently co-isolated with <i>Escherichia coli</i>, <i>Morganella morganii</i>, and <i>Pseudomonas aeruginosa</i>. The effect of interspecies interactions on bacterial growth was investigated in mixed-species macrocolony biofilms developed in Lubbock-Glc-agar. Similar cell counts were found for <i>E. faecalis</i> and <i>M. morganii</i> growing in mixed and single-species biofilms. An <i>E. faecalis</i> strain showed 1 Log higher cell counts in mixed biofilms with <i>E. coli</i>. Remarkably, <i>E. faecalis</i> strains showed 2 to 4 Log higher cell counts in mixed biofilms with <i>P. aeruginosa</i>. This effect was not observed in planktonic growth or biofilms developed in tryptic soy agar. The present findings reveal bacterial interactions that benefit <i>E. faecalis</i> in mixed-species biofilms, mainly with <i>P. aeruginosa</i>, in a medium that partially mimics the nutrients found in DFU.
DOI: 10.5281/zenodo.8198828
title: Supplementary data

description: This supporting information provides: (1) Analytical Methods for whole-rock major and trace element compositions, titanite BSE imaging and major element analysis, titanite trace element analysis; (2) Figures S1-S5 to show whole-rock geochemistry and titanite U-Pb dating, trace elements and Sm-Nd isotopes of the syn-exhumation granites; (3) Tables S1-S6 of whole-rock major and trace element compositions, titanite major-trace element compositions, U-Pb isotope compositions and Nd isotope compositions.
DOI: 10.5281/zenodo.8198827
title: Supplementary data

description: This supporting information provides: (1) Analytical Methods for whole-rock major and trace element compositions, titanite BSE imaging and major element analysis, titanite trace element analysis; (2) Figures S1-S5 to show whole-rock geochemistry and titanite U-Pb dating, trace elements and Sm-Nd isotopes of the syn-exhumation granites; (3) Tables S1-S6 of whole-rock major and trace element compositions, titanite major-trace element compositions, U-Pb isotope compositions and Nd isotope compositions.
DOI: 10.6084/m9.figshare.21681284
title: Data and codes of mcRPL

description: The zip files include two geospatial raster algorithms parallelized using mcRPL and test datasets for them.
DOI: 10.6084/m9.figshare.21681284.v1
title: Data and codes of mcRPL

description: The zip files include two geospatial raster algorithms parallelized using mcRPL and test datasets for them.
DOI: 10.5281/zenodo.8187903
title: Extracellular recordings and juxtacellular labelling with glass electrodes in the mouse medial septum and hippocampus

description: This repository contains MAT files consisting of simultaneously recorded mouse medial septal and hippocampal local field potentials (20 kHz sampling rates) and spikes from single medial septal cells. Data were recorded with glass electrodes during spontaneous movement and rest periods, followed by juxtacellular labelling of the medial septal cell. Text files of the spike times and detected hippocampal CA1 theta (5-12 Hz) oscillation trough times are associated with each MAT file. The files are organised by cell (neuron) name. For further details, see the CSV file included with the dataset. These recorded and labelled single cells were originally reported in Joshi et al 2017, Viney et al 2018, and Salib et al 2019. Each MAT file contains the following channels, exported from the original Spike2 (smr) recording files: (1) Details of the recording (2) Detected spikes (in seconds) from the single medial septal cell (3) Movement detection (eg. accelerometer or rotary encoder) (4) Local field potential (medial septum), in mV (5) Local field potential (hippocampal CA1), in mV; see CSV file for precise location (e.g. within stratum pyramidale) This dataset is made available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license: If you share or adapt these data you must give appropriate credit, provide a link to the license, and indicate if changes were made.
description: {"references": ["Joshi, A., Salib, M., Viney, T.J., Dupret, D., and Somogyi, P. (2017). Behavior-Dependent Activity and Synaptic Organization of Septo-hippocampal GABAergic Neurons Selectively Targeting the Hippocampal CA3 Area. Neuron 96, 1342-1357 e1345.", "Viney, T.J., Salib, M., Joshi, A., Unal, G., Berry, N., and Somogyi, P. (2018). Shared rhythmic subcortical GABAergic input to the entorhinal cortex and presubiculum. Elife 7. 10.7554/eLife.34395.", "Salib, M., Joshi, A., Katona, L., Howarth, M., Micklem, B.R., Somogyi, P., and Viney, T.J. (2019). GABAergic Medial Septal Neurons with Low-Rhythmic Firing Innervating the Dentate Gyrus and Hippocampal Area CA3. J Neurosci 39, 4527-4549."]}
DOI: 10.5281/zenodo.8187902
title: Extracellular recordings and juxtacellular labelling with glass electrodes in the mouse medial septum and hippocampus

description: This repository contains MAT files consisting of simultaneously recorded mouse medial septal and hippocampal local field potentials (20 kHz sampling rates) and spikes from single medial septal cells. Data were recorded with glass electrodes during spontaneous movement and rest periods, followed by juxtacellular labelling of the medial septal cell. Text files of the spike times and detected hippocampal CA1 theta (5-12 Hz) oscillation trough times are associated with each MAT file. The files are organised by cell (neuron) name. For further details, see the CSV file included with the dataset. These recorded and labelled single cells were originally reported in Joshi et al 2017, Viney et al 2018, and Salib et al 2019. Each MAT file contains the following channels, exported from the original Spike2 (smr) recording files: (1) Details of the recording (2) Detected spikes (in seconds) from the single medial septal cell (3) Movement detection (eg. accelerometer or rotary encoder) (4) Local field potential (medial septum), in mV (5) Local field potential (hippocampal CA1), in mV; see CSV file for precise location (e.g. within stratum pyramidale) This dataset is made available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license: If you share or adapt these data you must give appropriate credit, provide a link to the license, and indicate if changes were made.
description: {"references": ["Joshi, A., Salib, M., Viney, T.J., Dupret, D., and Somogyi, P. (2017). Behavior-Dependent Activity and Synaptic Organization of Septo-hippocampal GABAergic Neurons Selectively Targeting the Hippocampal CA3 Area. Neuron 96, 1342-1357 e1345.", "Viney, T.J., Salib, M., Joshi, A., Unal, G., Berry, N., and Somogyi, P. (2018). Shared rhythmic subcortical GABAergic input to the entorhinal cortex and presubiculum. Elife 7. 10.7554/eLife.34395.", "Salib, M., Joshi, A., Katona, L., Howarth, M., Micklem, B.R., Somogyi, P., and Viney, T.J. (2019). GABAergic Medial Septal Neurons with Low-Rhythmic Firing Innervating the Dentate Gyrus and Hippocampal Area CA3. J Neurosci 39, 4527-4549."]}
DOI: 10.5284/1049651
title: Britannia Monographs

description: Digital versions of the Britannia Monographs series.
DOI: 10.5255/ukda-sn-856610
title: Many Models in R: A Tutorial - National Child Development Study: Age 46, Sweep 7, 2004-2005: Synthetic Data, 2023

description: The deposit contains a dataset created for the paper, 'Many Models in R: A Tutorial'. ncds.Rds is an R format synthetic dataset created with the synthpop dataset in R using data from the National Child Development Study (NCDS), a birth cohort of individuals born in a single week of March 1958 in Britain. The dataset contains data on fourteen biomarkers collected at the age 46/47 sweep of the survey, four measures of cognitive ability from age 11 and 16, and three covariates, sex, body mass index at age 11 and father's social class. The data is only intended to be used in the tutorial - it is not to be used for drawing statistical inferences.
DOI: 10.5281/zenodo.8198891
title: Benchmark: Architectural Smell ICSE 2024

description: Benchmark of Architectural Smell ICSE 2024 paper
DOI: 10.5281/zenodo.8198890
title: Benchmark: Architectural Smell ICSE 2024

description: Benchmark of Architectural Smell ICSE 2024 paper
DOI: 10.26050/wdcc/ar6.c6cmgigeghn
title: IPCC DDC: NASA-GISS GISS-E2.1G model output prepared for CMIP6 CMIP hist-nat

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NASA-GISS.GISS-E2-1-G.hist-nat' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. NOTE (NASA-GISS 2019-09-16): variables nbp, nep, cSoil, cSoilAbove1m, rh were retracted for all dataset versions earlier than 2019-09-16. The GISS-E2.1G climate model, released in 2019, includes the following components: aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI. The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.
DOI: 10.26050/wdcc/ar6.c6cmgigeg
title: IPCC DDC: NASA-GISS GISS-E2.1G model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NASA-GISS.GISS-E2-1-G' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. NOTE (NASA-GISS 2019-09-16): variables nbp, nep, cSoil, cSoilAbove1m, rh were retracted for all dataset versions earlier than 2019-09-16. The GISS-E2.1G climate model, released in 2019, includes the following components: aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, ocean: GISS Ocean (GO1, 1 degree; 360 x 180 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: GISS SI. The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km.