cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12366494
title: Casali et al. 2020 data "“Andrà tutto bene”: Associations Between Character Strengths, Psychological Distress and Self-efficacy During Covid-19 Lockdown"

description: Data refers to an analysis of the protective role of character strengths on psychological distress and self-efficacy during Covid-19 lockdown.<br>The datasets includes:Participants: participant number<br>Four columns for the second-order strengths factors previously extracted via PCA:OpennessRestraintTranscendenceInterpersonal<br>The three dependent measuresDASS_21 (Depression Anxiety and Stress Scale)<br>GHQ_12 (General Health Questionnaire)SEC (Self-efficacy for Covid-19)<br>Six demographic variables added in the analysis:AgeGenderWork (representing the perceived work change subsequent to lockdown)<br>Student (being a student or not)<br>Day (how many days passed when the participant responded since the day the survey was opened)<br>Sons (having at least a child at home [1] or not [0])<br>The 24 scores for the single strengthsThe scores for the 3 subscales of DASS_21<br><br>
DOI: 10.6084/m9.figshare.12366494.v2
title: Casali et al. 2020 data "“Andrà tutto bene”: Associations Between Character Strengths, Psychological Distress and Self-efficacy During Covid-19 Lockdown"

description: Data refers to an analysis of the protective role of character strengths on psychological distress and self-efficacy during Covid-19 lockdown.<br>The datasets includes:Participants: participant number<br>Four columns for the second-order strengths factors previously extracted via PCA:OpennessRestraintTranscendenceInterpersonal<br>The three dependent measuresDASS_21 (Depression Anxiety and Stress Scale)<br>GHQ_12 (General Health Questionnaire)SEC (Self-efficacy for Covid-19)<br>Six demographic variables added in the analysis:AgeGenderWork (representing the perceived work change subsequent to lockdown)<br>Student (being a student or not)<br>Day (how many days passed when the participant responded since the day the survey was opened)<br>Sons (having at least a child at home [1] or not [0])<br>The 24 scores for the single strengthsThe scores for the 3 subscales of DASS_21<br><br>
DOI: 10.6084/m9.figshare.12366494.v1
title: Covid-19 and Character Strengths

description: Data refers to an analysis of the protective role of character strengths on psychological distress and self-efficacy during Covid-19 lockdown.<br>The datasets includes:Participants: participant number<br>Four columns for the second-order strengths factors previously extracted via PCA:OpennessRestraintTranscendenceInterpersonal<br>The three dependent measuresDASS_21 (Depression Anxiety and Stress Scale)<br>GHQ_12 (General Health Questionnaire)SEC (Self-efficacy for Covid-19)<br>Six demographic variables added in the analysis:AgeGenderWork (representing the perceived work change subsequent to lockdown)<br>Student (being a student or not)<br>Day (how many days passed when the participant responded since the day the survey was opened)<br>Sons (having at least a child at home [1] or not [0])<br>The 24 scores for the single strengthsThe scores for the 3 subscales of DASS_21<br><br>
DOI: 10.20351/29he19930601
title: VARIMED Cruise, RV Hespérides

description: VARIMED Cruise (29HE19930601) carried out on the Research Vessel Hespérides in 1993
DOI: 10.20351/29he19920501
title: BOCA Cruise, RV Hespérides

description: BOCA Cruise (29HE19920501) carried out on the Research Vessel Hespérides in 1992
DOI: 10.20351/29he20080408
title: TRYNITOP-2 Cruise, RV Hespérides

description: TRYNITOP-2 Cruise (29HE20080408) carried out on the Research Vessel Hespérides in 2008
DOI: 10.6084/m9.figshare.13889500
title: R script used to generate the theoretical conductance values based on cell size and leaf porosity. from Maximum CO<sub>2</sub> diffusion inside leaves is limited by the scaling of cell size and genome size

description: Maintaining high rates of photosynthesis in leaves requires efficient movement of CO<sub>2</sub> from the atmosphere to the mesophyll cells inside the leaf where CO<sub>2</sub> is converted into sugar. CO<sub>2</sub> diffusion inside the leaf depends directly on the structure of the mesophyll cells and their surrounding airspace, which have been difficult to characterize because of their inherently three-dimensional organization. Yet, faster CO<sub>2</sub> diffusion inside the leaf was likely critical in elevating rates of photosynthesis that occurred among angiosperm lineages. Here we characterize the three-dimensional surface area of the leaf mesophyll across vascular plants. We show that genome size determines the sizes and packing densities of cells in all leaf tissues and that smaller cells enable more mesophyll surface area to be packed into the leaf volume, facilitating higher CO<sub>2</sub> diffusion. Measurements and modelling revealed that the spongy mesophyll layer better facilitates gaseous phase diffusion while the palisade mesophyll layer better facilitates liquid-phase diffusion. Our results demonstrate that genome downsizing among the angiosperms was critical to restructuring the entire pathway of CO<sub>2</sub> diffusion into and through the leaf, maintaining high rates of CO<sub>2</sub> supply to the leaf mesophyll despite declining atmospheric CO<sub>2</sub> levels during the Cretaceous.
DOI: 10.6084/m9.figshare.13889503
title: Supplementary Tables from Maximum CO<sub>2</sub> diffusion inside leaves is limited by the scaling of cell size and genome size

description: Supllemental Tables S1, S2, S3, S4, and S6
DOI: 10.6084/m9.figshare.13889503.v1
title: Supplementary Tables from Maximum CO<sub>2</sub> diffusion inside leaves is limited by the scaling of cell size and genome size

description: Supllemental Tables S1, S2, S3, S4, and S6
DOI: 10.6084/m9.figshare.13889500.v2
title: R script used to generate the theoretical conductance values based on cell size and leaf porosity. from Maximum CO<sub>2</sub> diffusion inside leaves is limited by the scaling of cell size and genome size

description: Maintaining high rates of photosynthesis in leaves requires efficient movement of CO<sub>2</sub> from the atmosphere to the mesophyll cells inside the leaf where CO<sub>2</sub> is converted into sugar. CO<sub>2</sub> diffusion inside the leaf depends directly on the structure of the mesophyll cells and their surrounding airspace, which have been difficult to characterize because of their inherently three-dimensional organization. Yet, faster CO<sub>2</sub> diffusion inside the leaf was likely critical in elevating rates of photosynthesis that occurred among angiosperm lineages. Here we characterize the three-dimensional surface area of the leaf mesophyll across vascular plants. We show that genome size determines the sizes and packing densities of cells in all leaf tissues and that smaller cells enable more mesophyll surface area to be packed into the leaf volume, facilitating higher CO<sub>2</sub> diffusion. Measurements and modelling revealed that the spongy mesophyll layer better facilitates gaseous phase diffusion while the palisade mesophyll layer better facilitates liquid-phase diffusion. Our results demonstrate that genome downsizing among the angiosperms was critical to restructuring the entire pathway of CO<sub>2</sub> diffusion into and through the leaf, maintaining high rates of CO<sub>2</sub> supply to the leaf mesophyll despite declining atmospheric CO<sub>2</sub> levels during the Cretaceous.
DOI: 10.6084/m9.figshare.13889500.v1
title: R script used to generate the theoretical conductance values based on cell size and leaf porosity. from Maximum CO<sub>2</sub> diffusion inside leaves is limited by the scaling of cell size and genome size

description: Maintaining high rates of photosynthesis in leaves requires efficient movement of CO<sub>2</sub> from the atmosphere to the mesophyll cells inside the leaf where CO<sub>2</sub> is converted into sugar. CO<sub>2</sub> diffusion inside the leaf depends directly on the structure of the mesophyll cells and their surrounding airspace, which have been difficult to characterize because of their inherently three-dimensional organization. Yet, faster CO<sub>2</sub> diffusion inside the leaf was likely critical in elevating rates of photosynthesis that occurred among angiosperm lineages. Here we characterize the three-dimensional surface area of the leaf mesophyll across vascular plants. We show that genome size determines the sizes and packing densities of cells in all leaf tissues and that smaller cells enable more mesophyll surface area to be packed into the leaf volume, facilitating higher CO<sub>2</sub> diffusion. Measurements and modelling revealed that the spongy mesophyll layer better facilitates gaseous phase diffusion while the palisade mesophyll layer better facilitates liquid-phase diffusion. Our results demonstrate that genome downsizing among the angiosperms was critical to restructuring the entire pathway of CO<sub>2</sub> diffusion into and through the leaf, maintaining high rates of CO<sub>2</sub> supply to the leaf mesophyll despite declining atmospheric CO<sub>2</sub> levels during the Cretaceous.
DOI: 10.20351/29he19950210
title: DRAKE-95 Cruise, RV Hespérides

description: DRAKE-95 Cruise (29HE19950210) carried out on the Research Vessel Hespérides in 1995
DOI: 10.6084/m9.figshare.14034680.v1
title: Characterization of rice starches

description: Data includes physcicochemical, morphological characterization and in-vitro digestibility studies of four rice starches from cultivars grown in Indian temperate region
DOI: 10.34740/kaggle/dsv/1944270
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.20393/c0181249-81ee-4d21-b0eb-21213866471c
title: CoCliME (Co-development of Climate Services for adaptation to changing Marine Ecosystems) Harmful Algal Blooms (HABs) and Toxin Weekly Maximum Data 2011-2019

description: This 9 year dataset contains data on maximum cell abundance of harmful taxa per week in each location, namely, Dinophysis acuta, Dinophysis acuminata, total Dinophysis spp., “Pseudo-nitzschia delicatissima” complex, “Pseudo-nitzschia seriata” complex, total Pseudo-nitzschia spp., Karenia mikimotoi and total Karenia spp. as well as maximum toxin level per week in each location (HY OA, HY DTX1, HY DTX2, PTX1, PTX2) in the period from 1st January 2011 to 31st December 2019. As stated in the script used to process this dataset,
DOI: 10.5517/ccdc.csd.cc24bhvv
title: CCDC 1976307: Experimental Crystal Structure Determination

description: Related Article: Yijie Wang, Jianbo Yin, Di Liu, Chengqi Gao, Zixi Kang, Rongming Wang, Daofeng Sun, Jianzhuang Jiang|2021|J.Mater.Chem.A|9|2683|doi:10.1039/D0TA07207A
DOI: 10.20393/de3337cb-e1d9-4d6c-91f0-cf843a9ea0be
title: Harmful Algal Blooms (HABs) weekly mean and environmental dataset 1997-2016 North East Atlantic Ocean

description: This dataset was created for ZINB GAMM with (Harmful Algal Blooms) HABs weekly mean and wekly mean dataset from hindcast model.This 20 year dataset contains data on weekly mean cell abundance of harmful taxa, namely, Dinophysis acuta, Dinophysis acuminata, total Dinophysis spp., “Pseudo-nitzschia delicatissima” complex, “Pseudo-nitzschia seriata” complex, total Pseudo-nitzschia spp., Karenia mikimotoi and total Karenia spp. and environmental data, Sea Surface Temperature, Near Bottom Temperature, Sea Surface Salinity, Near Bottom Salinity, Mixed Layer Depth and Potential Envergy Defecit in the period from 1st January 1997 to 31st December 2016; this time period matches the hindcast numerical model output (20 year hindcast [1997-2016], SW_IRL_ROMS_Hindcast).
DOI: 10.20393/1b8e720d-fa4f-465a-b9be-085b82d5ab1f
title: CoCliME (Co-development of Climate Services for adaptation to changing Marine Ecosystems) Harmful Algal Blooms (HABs) Data 1997 - 2016

description: This 20 year dataset contains data on cell abundance of harmful taxa, namely, Dinophysis acuta, Dinophysis acuminata, total Dinophysis spp., “Pseudo-nitzschia delicatissima” complex, “Pseudo-nitzschia seriata” complex, total Pseudo-nitzschia spp., Karenia mikimotoi and total Karenia spp. in the period from 1st January 1997 to 31st December 2016; this time period matches the hindcast numerical model output (20 year hindcast [1997-2016], SW_IRL_ROMS_Hindcast). The geographic boundary box of in-situ sites in this database is located similar to the hindcast model domain, i.e., 11.602˚ W ; 8.025˚ W and 50.078˚ N; 52.788˚ N.
DOI: 10.18112/openneuro.ds003517.v1.0.0
title: ContinuousVideoGamePlay
DOI: 10.15131/shef.data.13525679
title: Impacts of extraction for commercial use or trade on species abundance

description: Data collected from a thorough literature search assessing the impact of commercial use (not subsistence consumption) on species abundance. All comparisons are treatment vs control - sites that are under extractive pressure vs those that are not, we did not include presence/absence data or comparisons through time.Search covered all WoS databases, SCOPUS, Google Scholar, eTheses repositories etc. Data extracted and supplemented with species IUCN information, bodymass and georeferenced study site coordinates. <br>The attached README.txt document gives further detail on the columns present in the data. <br><br>Currently used in a meta-analysis. (https://www.nature.com/articles/s41559-021-01399-y)<br>
DOI: 10.15131/shef.data.13525679.v2
title: Impacts of extraction for commercial use or trade on species abundance

description: Data collected from a thorough literature search assessing the impact of commercial use (not subsistence consumption) on species abundance. All comparisons are treatment vs control - sites that are under extractive pressure vs those that are not, we did not include presence/absence data or comparisons through time.Search covered all WoS databases, SCOPUS, Google Scholar, eTheses repositories etc. Data extracted and supplemented with species IUCN information, bodymass and georeferenced study site coordinates. <br>The attached README.txt document gives further detail on the columns present in the data. <br><br>Currently used in a meta-analysis. (https://www.nature.com/articles/s41559-021-01399-y)<br>
DOI: 10.15131/shef.data.13525679.v1
title: Impacts of extraction for commercial use or trade on species abundance

description: Data collected from a thorough literature search assessing the impact of commercial use (not subsistence consumption) on species abundance. All comparisons are treatment vs control - sites that are under extractive pressure vs those that are not, we did not include presence/absence data or comparisons through time.Search covered all WoS databases, SCOPUS, Google Scholar, eTheses repositories etc. Data extracted and supplemented with species IUCN information, bodymass and georeferenced study site coordinates. <br>The attached README.txt document gives further detail on the columns present in the data. <br><br>Currently used in a meta-analysis (in review).<br>Full methods and article to be linked here when the study is peer reviewed and published.
DOI: 10.5281/zenodo.4460187
title: FT49 Küss (2) 10-key tenoroon: measurements, photos, endoscopic video

description: Dataset of FT49 Küss (2) 10-key tenoroon, containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5281/zenodo.4460186
title: FT49 Küss (2) 10-key tenoroon: measurements, photos, endoscopic video

description: Dataset of FT49 Küss (2) 10-key tenoroon, containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.6084/m9.figshare.13537379.v1
title: USTRANSCOM 777 Hangar Master Spreadsheet with raw data

description: USTRANSCOM Aug 2020 - Commercial Aircraft Cabin Aerosol Dispersion Test - 777 Hangar Master Spreadsheet with raw data<br>
DOI: 10.6084/m9.figshare.12200909
title: E23K allele generation data sheet.pdf

description: Data supporting “The KCNJ11-E23K gene variant reduces glucose tolerance and accelerates diet-induced diabetes progression in mice by impairing glucose-induced insulin secretion”: <br><br>Data sheet on generation and genotyping of the C57BL/6NTac-Kcnj11em1H /H allele in mice<br><br><br>
DOI: 10.6084/m9.figshare.12272873
title: Underlying data for figures – Part 1: standard diet.

description: Data supporting “The KCNJ11-E23K gene variant reduces glucose tolerance and accelerates diet-induced diabetes progression in mice by impairing glucose-induced insulin secretion”.<br><br>Underlying data for figures – Part 1: standard diet.<br>Figure 1B – Data on the electrophysiological effect of the Kcnj11-K23 allele in isolated beta cells.<br>Figure 2A – Data on the body weight of female and male mice carrying two risk alleles (KK) or none (EE), from 3 to 18 weeks of age.<br>Figure 2B – Data on the fed blood glucose concentration of female and male mice carrying two risk alleles (KK) or none (EE), from 7 to 17 weeks of age.<br>Figures 3A,3C & 3D and supplemental figures 2 & 3 – File 1: Glucose data on the IPGTT of female and male mice carrying two risk alleles (KK) or none (EE), at 12 weeks of age. File 2: Data on the plasma insulin concentrations measured during the IPGTT. Mouse numbering is consistent between file 1 and 2.<br>Figure 3B - Glucose data on the IPITT of female and male mice carrying two risk alleles (KK) or none (EE), at 16 weeks of age.<br>Figure 4A – Data on glucose stimulated insulin secretion from pancreatic islets isolated from female and male mice, carrying two risk alleles (KK) or none (EE), at 18 weeks of age.<br>Figure 4B – Data on islet insulin content from pancreatic islets isolated from female and male mice, carrying two risk alleles (KK) or none (EE), at 18 weeks of age.<br>
DOI: 10.6084/m9.figshare.12420839
title: Underlying data for figures – Part 2: high fat diet (HFD).

description: Data supporting “The KCNJ11-E23K gene variant reduces glucose tolerance and accelerates diet-induced diabetes progression in mice by impairing glucose-induced insulin secretion”.<br>Underlying data for figures – Part 2: high fat diet (HFD).<br>Figure 5 - Data on the body weight gain on a HFD of female and male mice carrying two risk alleles (KK) or none (EE), from 3 to 23 weeks of age. At 8 weeks of age animals were switched from a standard to a HFD.<br>Supp. Figure 4 - Data on the fed blood glucose concentration of female and male mice carrying two risk alleles (KK) or none (EE), from 7 to 17 weeks of age (HFD from week 8).<br>Supp. Figures 5,6 and 7 – File 1: Glucose data on the IPGTT of female and male mice carrying two risk alleles (KK) or none (EE), at 12 weeks of age, after 4 weeks on a HFD. File 2: Data on the plasma insulin concentrations measured during the IPGTT. Mouse numbering is consistent between file 1 and 2.<br>Figure 6A - Glucose data on the IPITT of female and male mice carrying two risk alleles (KK) or none (EE), on a HFD at 16 weeks of age.<br>Figures 6B,6C & 6D and supplemental figures 8 & 9 – File 1: Glucose data on the IPGTT of female and male mice carrying two risk alleles (KK) or none (EE), at 26 weeks of age, after 18 weeks on a HFD. File 2: Data on the plasma insulin concentrations measured during the IPGTT. Mouse numbering is consistent between file 1 and 2.<br>Figure 7 - Data on haemoglobin glycation of female and male mice carrying two risk alleles (KK) or none (EE), at 28 weeks of age (HFD from week 8).<br>Figure 8 - Data on glucose stimulated insulin secretion per islet (file 1), on the islet insulin content (file 2) and on glucose/sulfonylurea-stimulated insulin secretion, normalized to insulin content (file 3). Pancreatic islets were isolated from female and male mice, carrying two risk alleles (KK) or none (EE), at 23 weeks of age (HFD from week 8).<br><br>
DOI: 10.6084/m9.figshare.12200909.v1
title: E23K allele generation data sheet.pdf

description: Data supporting “The KCNJ11-E23K gene variant reduces glucose tolerance and accelerates diet-induced diabetes progression in mice by impairing glucose-induced insulin secretion”: <br><br>Data sheet on generation and genotyping of the C57BL/6NTac-Kcnj11em1H /H allele in mice<br><br><br>
DOI: 10.6084/m9.figshare.12272873.v1
title: Underlying data for figures – Part 1: standard diet.

description: Data supporting “The KCNJ11-E23K gene variant reduces glucose tolerance and accelerates diet-induced diabetes progression in mice by impairing glucose-induced insulin secretion”.<br><br>Underlying data for figures – Part 1: standard diet.<br>Figure 1B – Data on the electrophysiological effect of the Kcnj11-K23 allele in isolated beta cells.<br>Figure 2A – Data on the body weight of female and male mice carrying two risk alleles (KK) or none (EE), from 3 to 18 weeks of age.<br>Figure 2B – Data on the fed blood glucose concentration of female and male mice carrying two risk alleles (KK) or none (EE), from 7 to 17 weeks of age.<br>Figures 3A,3C & 3D and supplemental figures 2 & 3 – File 1: Glucose data on the IPGTT of female and male mice carrying two risk alleles (KK) or none (EE), at 12 weeks of age. File 2: Data on the plasma insulin concentrations measured during the IPGTT. Mouse numbering is consistent between file 1 and 2.<br>Figure 3B - Glucose data on the IPITT of female and male mice carrying two risk alleles (KK) or none (EE), at 16 weeks of age.<br>Figure 4A – Data on glucose stimulated insulin secretion from pancreatic islets isolated from female and male mice, carrying two risk alleles (KK) or none (EE), at 18 weeks of age.<br>Figure 4B – Data on islet insulin content from pancreatic islets isolated from female and male mice, carrying two risk alleles (KK) or none (EE), at 18 weeks of age.<br>
DOI: 10.6084/m9.figshare.14035878.v1
title: Protein identification from Creation of a peptide database of corneous beta-proteins of marine turtles for the identification of tortoiseshell: archaeological combs as case study

description: List of proteins identified in reference samples
DOI: 10.6084/m9.figshare.14035878
title: Protein identification from Creation of a peptide database of corneous beta-proteins of marine turtles for the identification of tortoiseshell: archaeological combs as case study

description: List of proteins identified in reference samples
DOI: 10.6084/m9.figshare.14035884
title: Phosphorylation from Creation of a peptide database of corneous beta-proteins of marine turtles for the identification of tortoiseshell: archaeological combs as case study

description: Sites of phosphorylation in CBP markers
DOI: 10.6084/m9.figshare.14035884.v1
title: Phosphorylation from Creation of a peptide database of corneous beta-proteins of marine turtles for the identification of tortoiseshell: archaeological combs as case study

description: Sites of phosphorylation in CBP markers
DOI: 10.25625/cnap14/0cdf9y
title: Figure S1

description: Upper panel: comparison of jet spectra of MeOH+2FAP in He with the same total substance consumption \Sigma n (1500 pulses at the gratin (gr, red, displaced by +0.24 along the ordinate), 36 pulses at the filet (fi, green) jet). As a point of reference, the total consumption at the gratin jet (2 fillings of the reservoir) was chosen. Lower panel: negative decadic logarithm of the root-mean-square error (-lg(RMSE)) of the noise level in a 50 cm^-1 moving window with respect to a quadratic fit of the baseline. The spectral regions occupied by absorption bands of the sample mixture, which cannot be used for the analysis of the noise level, are shaded in grey.
DOI: 10.25625/cnap14/eoltes
title: Figure S2

description: Upper panel: comparison of jet spectra of MeOH+2FAP in He with the same total real time of measurements, \Sigma t_real (168 pulses at the gratin (gr, red, displaced by +0.24 along the ordinate), 150 pulses at the filet (fi, green) jet). Lower panel: negative decadic logarithm of the root-mean-square error (-lg(RMSE)) of the noise level in a 50 cm^-1 moving window with respect to a quadratic fit of the baseline. The spectral regions occupied by absorption bands of the sample mixture, which cannot be used for the analysis of the noise level, are shaded in grey.
DOI: 10.25625/cnap14
title: [186]

description: Supporting Data for Suhm publication [186]