cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17104829.v4
title: CG. Report 6: The effects of Covid-19 in Care Homes: Mixed Methods Review

description: The data is from a mixed-methods approach to address address three main questions:1 What were the mortality rates in care homes by country? 2. How does the mortality in care homes compare with previous periods? 3. What explains any excess mortality in care homes?List of Tables available in FigshareTable 1. Excess Deaths Study Characteristics Table 2. Care Homes Excess Deaths Study OutcomesTable 3. Quality Assessment: Care Home Excess Deaths studies: Newcastle Ottawa ScaleTable 4. Care Home intervention/exposure studies characteristics Table 5. Care Home intervention/exposure studies outcomesTable 6. Quality Assessment: Care Home Intervention/Exposure studies: Newcastle Ottawa ScaleFigure 1. Flow chartProtocol available at FigshareAppendix 1 National Mortality Data<br><br>
DOI: 10.25646/9346
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.34740/kaggle/dsv/2882302
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/2882333
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5752064
title: Vertical profiles of 3D cluster properties

description: The two zip files contain the properties of the 3D clusters used in the submission version of the Paper "Size-dependence of surface-rooted three-dimensional convective objects in continental shallow cumulus simulations". The paper was submitted to JAMES in May 2021. When unzipped, the data is stored in python panda dataframes in pkl files. Warning! Unzipping the files increases the data size by a factor of 20. The two python scripts contain the functions used to segment the 3D snapshots into individual objects. The most interesting things are in proc_watershed, cusize_functions is just a collection of mostly abandoned functions. The functions in proc_watershed are reasonably well commented.
DOI: 10.5281/zenodo.4744599
title: Vertical profiles of 3D cluster properties

description: The two zip files contain the properties of the 3D clusters used in the submission version of the Paper "Size-dependence of surface-rooted three-dimensional convective objects in continental shallow cumulus simulations". The paper was submitted to JAMES in May 2021. When unzipped, the data is stored in python panda dataframes in pkl files. Warning! Unzipping the files increases the data size by a factor of 20. The two python scripts contain the functions used to segment the 3D snapshots into individual objects. The most interesting things are in proc_watershed, cusize_functions is just a collection of mostly abandoned functions. The functions in proc_watershed are reasonably well commented.
DOI: 10.6084/m9.figshare.17113688
title: scXRD Experimental Tables

description: Two, labelled workbooks are included in the attached spreadsheet file. These contain the experimental CIF data tables for the LESCO and LSCO single-crystal diffraction data, including information relating to the unit cell, data collection, reduction and refinement.
DOI: 10.25824/redu/sixdtd
title: 2DAlGaAs_GaAs_trap_5_nm.in

description: NextNano++ input file
DOI: 10.6084/m9.figshare.17111657
title: LESCO single-crystal refinements

description: Experimental CIFs for key models (LTO, LTT, LTO+LTT and all LTLO variations thereof) and the checkCIFs for those models. We include also those CIFs which are employed in the final geometric analysis, for which the unit cell parameters have been replaced with those taken from the pXRD.
DOI: 10.25824/redu/lifq61
title: 2DAlGaAs_GaAs_trap_2_nm.in

description: NextNano++ input file
DOI: 10.25824/redu/34ocb7
title: 2DAlGaAs_GaAs_trap_1_nm.in

description: NextNano++ input file
DOI: 10.25824/redu/zyixnt
title: 2DAlGaAs_GaAs_trap_10_nm.in

description: NextNano++ input file
DOI: 10.25824/redu/ijadvg
title: 2DAlGaAs_GaAs_trap_1_nm.log
DOI: 10.25824/redu/hqswpe
title: 2DAlGaAs_GaAs_trap_2_nm.log
DOI: 10.6084/m9.figshare.17111735
title: LSCO single-crystal refinements

description: Experimental CIFs for key models (LTO, LTT, LTLO and LTO+LTT at 30, 50 and 100 K; LTO and LTLO at 120 and 150 K) and checkCIFs for those models. We include also those CIFs which are employed in the final geometric analysis, for which the unit cell parameters have been replaced with those taken from the pXRD.
DOI: 10.25824/redu/vczc4r
title: 2DAlGaAs_GaAs_trap_5_nm.log
DOI: 10.25824/redu/un4kw1
title: 2DAlGaAs_GaAs_trap_10_nm.log
DOI: 10.25824/redu/1tkcxb
title: QWModel.py

description: Python code to calculate the QW states
DOI: 10.25824/redu/yttk97
title: Acquire HAADF_3.tif

description: TEM images original
DOI: 10.25824/redu/9g2t8y
title: Acquire HAADF_5.tif

description: TEM image original
DOI: 10.6084/m9.figshare.17113562
title: LESCO pXRD data

description: CIFs for the final selected refinements and the associated raw (.xy) data for LESCO, along with the relevant instrument standard files.
DOI: 10.25824/redu/kj8tzg
title: QWdots.py

description: Python progam plotting FIg. 5 and Fig. 7
DOI: 10.25824/redu/dzg2cy
title: 017_Height_001_P144.tiff

description: Original AFM image
DOI: 10.25824/redu/cyt4k0
title: 017_Potential_001_P144.tiff

description: Original AFM image
DOI: 10.25824/redu/au2unw
title: 003_Height_001_P152.tiff

description: Original AFM image
DOI: 10.25824/redu/nfqnog
title: 003_Potential_001_P152.tiff

description: Original AFM image
DOI: 10.6084/m9.figshare.17113571
title: LSCO pXRD data

description: CIFs for the final selected refinements and the associated raw (.xy) data for LSCO, along with the relevant instrument standard files.
DOI: 10.25824/redu/nos3bb
title: 008_Height_001_P145.tiff

description: Original AFM image
DOI: 10.25824/redu/m835wj
title: 008_Potential_001_P145.tiff

description: Original AFM image
DOI: 10.6084/m9.figshare.17113661
title: LBCO pXRD data

description: CIFs for the final selected refinements and the associated raw (.xy) data for LBCO, along with the relevant instrument standard files.
DOI: 10.25824/redu/xmdozk
title: 012_Height_001_P155.tiff

description: Original AFM image
DOI: 10.6084/m9.figshare.17113661.v1
title: LBCO pXRD data

description: CIFs for the final selected refinements and the associated raw (.xy) data for LBCO, along with the relevant instrument standard files.
DOI: 10.25824/redu/vsa65q
title: 012_Potential_001_P155.tiff

description: Original AFM image
DOI: 10.25824/redu/worcf0
title: Data: imaging the electrostatic landscape of unstrained self-assemble GaAs quantum dots

description: Data related to the publication: "Imaging the electrostatic landscape of unstrained self-assemble GaAs quantum dots"
DOI: 10.5281/zenodo.5752101
title: Supplementary Data 1/2 PhD manuscript BBD

description: Supplementary data 1/2 for PhD manuscript "Etudes des interactions hôte-microbiote chez l'algue brune <em>Saccharina latissima</em>"
DOI: 10.5281/zenodo.5752100
title: Supplementary Data 1/2 PhD manuscript BBD

description: Supplementary data 1/2 for PhD manuscript "Etudes des interactions hôte-microbiote chez l'algue brune <em>Saccharina latissima</em>"
DOI: 10.5281/zenodo.5752111
title: Supplementary Data 2/2 PhD manuscript BBD

description: Supplementary data 2/2 for PhD manuscript "Etudes des interactions hôte-microbiote chez l'algue brune Saccharina latissima"
DOI: 10.5281/zenodo.5752110
title: Supplementary Data 2/2 PhD manuscript BBD

description: Supplementary data 2/2 for PhD manuscript "Etudes des interactions hôte-microbiote chez l'algue brune Saccharina latissima"
DOI: 10.3886/e155941
title: Replication Data for: Identifying Marginal Treatment Effects in the Presence of Sample Selection

description: This article presents identification results for the marginal treatment effect (MTE) when there is sample selection. We show that the MTE is partially identified for individuals who are always observed regardless of treatment, and derive uniformly sharp bounds on this parameter under three increasingly restrictive sets of assumptions. The first result imposes standard MTE assumptions with an unrestricted sample selection mechanism. The second set of conditions imposes monotonicity of the sample selection variable with respect to treatment, considerably shrinking the identified set. Finally, we incorporate a stochastic dominance assumption which tightens the lower bound for the MTE. Our analysis extends to discrete instruments. The results rely on a mixture reformulation of the problem where the mixture weights are identified, extending Lee's (2009) trimming procedure to the MTE context. We propose estimators for the bounds derived and use data made available by Deb, Munkin, and Trivedi (2006) to empirically illustrate the usefulness of our approach.
DOI: 10.3886/e155941v1
title: Replication Data for: Identifying Marginal Treatment Effects in the Presence of Sample Selection

description: This article presents identification results for the marginal treatment effect (MTE) when there is sample selection. We show that the MTE is partially identified for individuals who are always observed regardless of treatment, and derive uniformly sharp bounds on this parameter under three increasingly restrictive sets of assumptions. The first result imposes standard MTE assumptions with an unrestricted sample selection mechanism. The second set of conditions imposes monotonicity of the sample selection variable with respect to treatment, considerably shrinking the identified set. Finally, we incorporate a stochastic dominance assumption which tightens the lower bound for the MTE. Our analysis extends to discrete instruments. The results rely on a mixture reformulation of the problem where the mixture weights are identified, extending Lee's (2009) trimming procedure to the MTE context. We propose estimators for the bounds derived and use data made available by Deb, Munkin, and Trivedi (2006) to empirically illustrate the usefulness of our approach.
DOI: 10.5281/zenodo.5752118
title: The complete chloroplast genome of Pedicularis rudis Maxim. (Lamiales: Orobanchaceae), a perennial herb endemic to China

description: <em>Pedicularis rudis</em> Maxim. is a species of perennial herb endemic to China. In this study, the complete chloroplast genome of <em>P. rudis</em> was determined to be 151,443 bp long with a typical quadripartite structure, comprising two inverted repeat regions (IRa and IRb, 25,719 bp each), a large single-copy (LSC) region (83,119 bp) and a small single-copy (SSC) region (16,886 bp). It encodes a panel of 110 genes with 19 of them being completely or partially duplicated and 18 of them possessing one or two introns. Phylogenetic analysis revealed that <em>P. rudis</em> was most closely related to the congener <em>P. shansiensis</em>.
description: The uploaded files are the annotated chloroplast genome (in GenBank .gb format) and the physical map of the chloroplast genome (in .pdf format) of Pedicularis rudis Maxim.
DOI: 10.5281/zenodo.5752117
title: The complete chloroplast genome of Pedicularis rudis Maxim. (Lamiales: Orobanchaceae), a perennial herb endemic to China

description: <em>Pedicularis rudis</em> Maxim. is a species of perennial herb endemic to China. In this study, the complete chloroplast genome of <em>P. rudis</em> was determined to be 151,443 bp long with a typical quadripartite structure, comprising two inverted repeat regions (IRa and IRb, 25,719 bp each), a large single-copy (LSC) region (83,119 bp) and a small single-copy (SSC) region (16,886 bp). It encodes a panel of 110 genes with 19 of them being completely or partially duplicated and 18 of them possessing one or two introns. Phylogenetic analysis revealed that <em>P. rudis</em> was most closely related to the congener <em>P. shansiensis</em>.
description: The uploaded files are the annotated chloroplast genome (in GenBank .gb format) and the physical map of the chloroplast genome (in .pdf format) of Pedicularis rudis Maxim.
DOI: 10.7910/dvn/9jh7dx
title: The Big Five and Beyond: Which Personality Traits Do Predict Movie and Reading Preferences?

description: The Big Five and Beyond
DOI: 10.21223/ztpo9t/7n7mz2
title: 01_Potato French Fries Processing Results 2020-2021.tab

description: :unav
DOI: 10.5281/zenodo.3547392
title: Data from "Predicting Global Ground Geoelectric Field With Coupled Geospace and Three‐Dimensional Geomagnetic Induction Models"

description: Data presented in http://dx.doi.org/10.1029/2018SW001859 excluding the first and last hours which were determined to contain partially unphysical results and probably should not be used. Each file contains the external ground magnetic field components calculated on 5x5 degree geographic grid and the results of induction modeling using 1d and 3d ground conductivity models: total ground magnetic field components, horizontal ground electric field components. Times are given in UTC. To reproduce Figure 8 in above reference use: import numpy<br> import matplotlib.pyplot<br> data = numpy.load('2006-12-14T22:58:00.npz') # or 2006-12-14T22_58_00.npz<br> matplotlib.pyplot.colorbar(<br> matplotlib.pyplot.imshow(<br> data['B_3D_north'],<br> cmap = matplotlib.pyplot.get_cmap('bwr'),<br> vmin = -800, vmax = 800,<br> extent = (-180, 180, -90, 90)<br> ),<br> format = '%.0f', fraction = 0.02, pad = 0.03<br> )<br> matplotlib.pyplot.show() and substitute B_3D_east, E_3D_north, etc. for the different panels.
DOI: 10.5281/zenodo.3547391
title: Data from "Predicting Global Ground Geoelectric Field With Coupled Geospace and Three‐Dimensional Geomagnetic Induction Models"

description: Data presented in http://dx.doi.org/10.1029/2018SW001859 excluding the first and last hours which were determined to contain partially unphysical results and probably should not be used. Each file contains the external ground magnetic field components calculated on 5x5 degree geographic grid and the results of induction modeling using 1d and 3d ground conductivity models: total ground magnetic field components, horizontal ground electric field components. Times are given in UTC. To reproduce Figure 8 in above reference use: import numpy<br> import matplotlib.pyplot<br> data = numpy.load('2006-12-14T22:58:00.npz') # or 2006-12-14T22_58_00.npz<br> matplotlib.pyplot.colorbar(<br> matplotlib.pyplot.imshow(<br> data['B_3D_north'],<br> cmap = matplotlib.pyplot.get_cmap('bwr'),<br> vmin = -800, vmax = 800,<br> extent = (-180, 180, -90, 90)<br> ),<br> format = '%.0f', fraction = 0.02, pad = 0.03<br> )<br> matplotlib.pyplot.show() and substitute B_3D_east, E_3D_north, etc. for the different panels.
DOI: 10.34740/kaggle/dsv/2882501
title: COVID Vaccination in World (updated daily)
DOI: 10.17632/dghdbmggc4.2
title: Data for: Stress and the brain transcriptome: identifying commonalities and clusters in standardized data from published experiments

description: Supplementary Dataset 1. The dataset contains all retrieved data (full preprocessed dataset), information concerning experimental design and final result of re-annotation and gene name standardization.
Supplementary Table 1. Summary of experiments included in the analysis. It also contains numerical codes used for identification of individual studies and transcriptomic comparisons concerning genotype, sex and stress-sensitivity of tested subjects, applied stress procedures, and analyzed brain areas. 
Supplementary Table 2. Ranking of stress-responsive genes. 
Supplementary Table 3. Referential list of GC-responsive genes.
Supplementary Table 4. Ranking of genes depending on duration of stress.
Supplementary Table 5. Ranking of genes with altered expression in animals that are vulnerable and resistant to stress. 
Supplementary Table 6. Sex-specific genes that are responsive to stress. 
Supplementary Table 7. Ranking of genes that are found both in animal models of stress and human PTSD patients. 
Supplementary Table 8. Calculation of gene expression enrichment in various cell types associated with the mouse nervous system based on data retrieved from http://mousebrain.org/genesearch.html. The analysis is restricted to genes belonging to choroid, meningeal and opalin cluster.
Supplementary Cluster Files 1. Cluster analysis of stress-responsive genes. Use Java Treeview software (https://sourceforge.net/projects/jtreeview/files/) to visualize data following guidelines provided in Supplementary Fig 2. List of experiments and their codes is available in Supplementary Table 1. 
Supplementary Cluster Files 2. Cluster analysis restricted to amygdala. 
Supplementary Cluster Files 3. Cluster analysis restricted to hippocampus. 
Supplementary Cluster Files 4. Cluster analysis restricted to nucleus accumbens. 
Supplementary Cluster Files 5. Cluster analysis restricted to prefrontal cortex. 
Supplementary Cluster Files 6. Cluster analysis restricted to mice. 
Supplementary Cluster Files 7. Cluster analysis restricted to rats. 
Supplementary Cluster Files 8. Cluster analysis restricted to acute stress. 
Supplementary Cluster Files 9. Cluster analysis restricted to prolonged stress (longer than 1 week). 
Supplementary Cluster Files 10. Cluster analysis restricted to stress of medium duration (from 2 to 7 days). 
Supplementary Cluster Files 11. Cluster analysis restricted to stress resilient animals 
Supplementary Cluster Files 12. Cluster analysis restricted to stress vulnerable animals.
DOI: 10.17632/kt6km8bbgx.2
title: WOM Dataset - CZ, SRB, KOS

description: Dataset consists of 831 individual answers from Czechia, Serbia, and Kosovo on topics related to electronic WOM engagement and social relationship variables.
DOI: 10.17632/xc8hs2wc65.1
title: The effect of extreme temperatures on soil organic matter decomposition from Atlantic oak forest ecosystems.(ISCIENCE-D-21-01516R1)

description: This paper focuses on the soil organic matter, SOM, sensitivity to extreme temperatures and intends to relate it to soil organic matter properties which could be attached to the recalcitrance and lability of the organic substrates. The soil samples were collected in oak forests ecosystems in Ireland (Samples DC, G and K) and UK (Samples ROG, BW and NF) and represents the organic matter from different soil horizons: LF samples from the soil surface; the mineral soil under, M samples; and in the case of the samples from Ireland, an intermediate H layer in between LF and M horizons (H samples).
SOM thermal properties were provided by simultaneous thermogravimetry (TG) and differential scanning calorimetry (DSC) (TG-DSC) in an attempt of parametrizing SOM recalcitrance by the red-ox state. This is connected to the response of the soil samples to increasing and decreasing temperatures, measured by calorimetry as the heat rate of SOM decomposition. The calorimeter used is a model TAM III that allows the direct monitoring of the heat rates at different temperatures. 
The simultaneous TG-DSC gave the different soil thermal fractions of the samples and their heat of combustion, QSOM, values, connected to the degree of reduction of organic substrates by well-known principles. Here we attach the raw tabulated data from the TG-DSC measurements for all the samples used in this work as supplementary material S1. They are Excel files with columns representing, from left to right, time in seconds, temperature in Celsius degrees, the heat released in mW and the weight lost in mg.
TAM III allows us to design a calorimetric heat wave and to monitor the heat rate from the soil samples at increasing temperatures from 20 ºC to 30, 40, 50 and 60 ºC, and to decreasing temperatures from 60ºC to 40 and 20 ºC. By this procedure we can compare which samples resist or do not resist the heat wave and to link it to their red-ox state by different statistical analysis. All the raw tabulated data from the calorimetric design with TAM III are provided here too, together with their baselines, as supplementary material S2. The Excel files show the heat flow rate in watts and joules at the different temperatures of the measurement. The files S2a are the data from UK LF samples, S2b the ones from UK Mineral samples, S2c are the calorimetric data from Irish LF samples, S2d the Irish H samples, and S2e the Irish M samples. Samples S2f and S2g are the baselines with the empty ampoules used in the calorimetric measurements, detailed for every experiment in the first folder of the Excel files.
All the details dealing with the samples are explained in the paper.
DOI: 10.17632/d9vn7ygf3z.2
title: Data pertaining to aberrant intracellular calcium handling during androgen deprivation therapy in prostate cancer 

description: The data generated here in relates to the research article “CaV1.3 enhanced store operated calcium promotes resistance to androgen deprivation in prostate cancer”. Our hypothesis was that CaV1.3 contributed to altered calcium during androgen deprivation therapy (ADT) in prostate cancer, leading to castrate resistance disease. Here a model of prostate cancer (PCa) progression to castration resistance was employed, with untreated androgen sensitive LNCaP cell line alongside two androgens deprived (bicalutamide) sublines, either 10 days (LNCaP-ADT) or 2 years (LNCaP-ABL) treatment. Within which using qPCR we examined fold change gene expression of markers linked to androgen resistance, androgen receptor (AR) and neuron specific enolase (NSE), observing an increase under ADT. In addition, the gene expression of a range of calcium channels was measured, with the L-type Voltage gated calcium channel, CaV1.3, demonstrating the largest increase during ADT compared to DMSO control. The effect of CaV1.3 on the gene expression of calcium channels Orai and STIM1 was tested using CaV1.3 siRNA knockdown, with no effect observed. Protein fractionation and subsequent CaV1.3 western blot noted the presence of CaV1.3 c-terminus in the nucleus which was lost in LNCaP-ABL. The calcium channel blocker (CCB), nifedipine, was employed to determine the impact of CaV1.3 on store release and calcium entry measured with Fura-2AM ratiometric dye. In both the presence and absence ADT, nifedipine was found to have no impact on store release induced by thapsigargin (Tg) in 0mM Ca2+ nor calcium entry following the addition of 2mM Ca2. The effect of nifedipine on CaV1.3 in PCa biology was measured through cell survival colony formation assay, with no observed change in the presence of CCB. This data can be reused to inform new studies investigating altered calcium handling in androgen resistant prostate cancer. It provides insight into the mechanism of CaV1.3 and its functional properties in altered calcium in cancer, which can be of use to researchers investigating this channel in disease. Furthermore, it could be helpful in interpretting studies investigating CCB’s as a therapeutic and also in the development of future drugs targeting CaV1.3.
DOI: 10.25405/data.ncl.17076299
title: PriDem WS2.2 interviews with people with dementia and carers

description: In PriDem Workstream (WS) 2.2, we explored six sites in detail which were either based in, or had strong links to, primary care and reflected the diversity of post-diagnostic dementia care identified in WS2.1.<br><br>This dataset comprises individual and/or dyadic interviews with 17 people with dementia and 31 carers from across the six sites.<br>Data from observation and professional interviews are provided in separate datasets.