cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yy8my7knhs.1
title: Impact of local COVID-19 Mortality on Brazil's 2018-2022 Election

description: To verify whether either the president or the governors of Brazil were electorally penalized for the worst local performance (municipalities) in the COVID-19 pandemic, we built the present database with secondary data from the 2018/2022 election and COVID mortality for each municipality, in addition to variables of control over the health structure and socioeconomic indicators. There are two databases in the compressed file “databases.7z”: (i) “db_president.dta”, with data from the presidential election; and (ii) “db_governors.dta”, with data on the election for governors.
We also provide Stata scripts for reproducing difference-in-differences regressions to measure the impact of COVID mortality on electoral performance ("regressions_code.7z").
DOI: 10.17632/wg4bpm33hj.1
title: CCAgT: Images of Cervical Cells with AgNOR Stain Technique

description: Contains 9339 images with resolution of 1600×1200 where each pixel is 0.111µmX0.111µm from 15 different slides stained with AgNOR technique, having at least one label per image. Have more than sixty-three thousand annotations. The images from patients of Gynecology and Colonoscopy Outpatient Clinic of the Polydoro Ernani de São Thiago University Hospital of the Universidade Federal de Santa Catarina (HU-UFSC). This research was approved by the UFSC Research Ethics Committee (CEPSH), protocol number 57423616.3.0000.0121. First, all patients involved were informed about the objectives of the study, and those who agreed to participate signed an informed consent form.
DOI: 10.25345/c50v89t4k
title: MassIVE MSV000092878 - Isatis indigotica, Polygonum tinctorium, Baphicacanthus cusia, Alkaloids
title: Isatis indigotica, Polygonum tinctorium, Baphicacanthus cusia, Alkaloids
DOI: 10.57745/jdzj9z
title: depot_data_inrae.zip

description: :unav
DOI: 10.6084/m9.figshare.24151689
title: Gratitude during pandemic .xlsx

description: Its an open ended questions.
DOI: 10.6084/m9.figshare.24151689.v1
title: Gratitude during pandemic .xlsx

description: Its an open ended questions.
DOI: 10.34740/kaggle/dsv/6482313
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.6974229
title: Datasets for ``Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion''

description: <pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion" by P. Carenza, R. Sharma, M. C. D. Marsh, A. Brandenburg, & E. Mueller. If anything turns out to be incomplete, please email brandenb@nordita.org. Content: ALP_MHD.zip (115.4 MB) zip file with all run directories. bb10.dat (1.6 GB) Run S, magnetic field as a single array, bb(512,512,512,3), bb10gau.dat (1.6 GB) Gaussian magnetic field for Run S (same spectrum as bb10.dat) bb8.dat (1.6 GB) Run K, magnetic field as a single array, bb(512,512,512,3), bb8gau.dat (1.6 GB) Gaussian magnetic field for Run K (same spectrum as bb8.dat) D512_Pm20a2_bb8_versus_z.mpg (4.2 MB) Anination of different z cross-sections for Run K D512_Pm20a2_versus_t.mpg (50.3 MB) Anination of time evolution for Run S D512_Pm20a2_versus_z.mpg (5.8 MB) Anination of different z cross-sections for Run S D512_Pm20a_gaussian9_versus_z.mpg (14.3 MB) Anination of different z cross-sections for Gaussian version of Run K D512_Pm20a_gaussian_bb10_versus_z.mpg (9.5 MB) Anination of different z cross-sections for Gaussian version of Run S D512_Pm20a_versus_t.mpg (19.3 MB) Anination of time evolution for Run K rr10.dat (1.1 GB) Density for Run S, rr(512,512,512). rr8.dat (1.1 GB) Density for Run K, rr(512,512,512). </pre>
DOI: 10.5281/zenodo.8342138
title: Datasets for ``Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion''

description: This directory contains an index.html file with links to the run<br> directories and idl plotting routines with secondary data for the other<br> figures for the paper "Magnetohydrodynamics predicts heavy-tailed<br> distributions of axion-photon conversion" by P. Carenza, R. Sharma,<br> M. C. D. Marsh, A. Brandenburg, & E. Mueller. If anything turns out to<br> be incomplete, please email brandenb@nordita.org. We provide details of the simulations of small-scale dynamo used for<br> the paper and provide also 3D snapshots of the magnetic fields for the<br> kinetic stage (bb8.dat) and the saturated stage (bb10.dat). Here, we also provide data files containing the probability of conversion<br> of photon to axion for MHD realization of the magnetic field. These<br> probabilities have been calculated using Eqs. (4) and (6) of our paper<br> and the data files bb8.dat and bb10.dat provided in the previous upload.<br> In data files relevant for Figs. 2, 5, and 6, the first and second<br> columns are the x and y coordinates, the third and fourth column<br> gives the probability of conversion for the linearly polarised light<br> in the y and x direction, respectively, and the fifth column gives the<br> probability for the unpolarised light. Additionally, we have data files,<br> "power_mag_bb8.dat" and "power_mag_bb10.dat," which contain data for<br> the magnetic field power spectra for the kinetic and saturated cases. Content:<br> ALP_MHD.zip (115.4 MB)<br> zip file with all run directories. bb10.dat (1.6 GB)<br> Run S, magnetic field as a single array, bb(512,512,512,3), bb10gau.dat (1.6 GB)<br> Gaussian magnetic field for Run S (same spectrum as bb10.dat) bb8.dat (1.6 GB)<br> Run K, magnetic field as a single array, bb(512,512,512,3), bb8gau.dat (1.6 GB)<br> Gaussian magnetic field for Run K (same spectrum as bb8.dat) D512_Pm20a2_bb8_versus_z.mpg (4.2 MB)<br> Anination of different z cross-sections for Run K D512_Pm20a2_versus_t.mpg (50.3 MB)<br> Anination of time evolution for Run S D512_Pm20a2_versus_z.mpg (5.8 MB)<br> Anination of different z cross-sections for Run S D512_Pm20a_gaussian9_versus_z.mpg (14.3 MB)<br> Anination of different z cross-sections for Gaussian version of Run K D512_Pm20a_gaussian_bb10_versus_z.mpg (9.5 MB)<br> Anination of different z cross-sections for Gaussian version of Run S D512_Pm20a_versus_t.mpg (19.3 MB)<br> Anination of time evolution for Run K rr10.dat (1.1 GB)<br> Density for Run S, rr(512,512,512). rr8.dat (1.1 GB)<br> Density for Run K, rr(512,512,512). <br> Analysis files for figures (34.5 MB each) fig2a_bb8.dat<br> fig2b_bb8.dat<br> fig2c_bb8.dat fig2d_bb10.dat<br> fig2e_bb10.dat<br> fig2f_bb10.dat fig5a_bb8.dat<br> fig5b_bb10.dat fig6a_mask.dat<br> fig6b_clip.dat power_mag_bb8.dat (6 kB)<br> power_mag_bb10.dat (6 kB)
DOI: 10.5281/zenodo.6974228
title: Datasets for ``Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion''

description: This directory contains an index.html file with links to the run<br> directories and idl plotting routines with secondary data for the other<br> figures for the paper "Magnetohydrodynamics predicts heavy-tailed<br> distributions of axion-photon conversion" by P. Carenza, R. Sharma,<br> M. C. D. Marsh, A. Brandenburg, & E. Mueller. If anything turns out to<br> be incomplete, please email brandenb@nordita.org. We provide details of the simulations of small-scale dynamo used for<br> the paper and provide also 3D snapshots of the magnetic fields for the<br> kinetic stage (bb8.dat) and the saturated stage (bb10.dat). Here, we also provide data files containing the probability of conversion<br> of photon to axion for MHD realization of the magnetic field. These<br> probabilities have been calculated using Eqs. (4) and (6) of our paper<br> and the data files bb8.dat and bb10.dat provided in the previous upload.<br> In data files relevant for Figs. 2, 5, and 6, the first and second<br> columns are the x and y coordinates, the third and fourth column<br> gives the probability of conversion for the linearly polarised light<br> in the y and x direction, respectively, and the fifth column gives the<br> probability for the unpolarised light. Additionally, we have data files,<br> "power_mag_bb8.dat" and "power_mag_bb10.dat," which contain data for<br> the magnetic field power spectra for the kinetic and saturated cases. Content:<br> ALP_MHD.zip (115.4 MB)<br> zip file with all run directories. bb10.dat (1.6 GB)<br> Run S, magnetic field as a single array, bb(512,512,512,3), bb10gau.dat (1.6 GB)<br> Gaussian magnetic field for Run S (same spectrum as bb10.dat) bb8.dat (1.6 GB)<br> Run K, magnetic field as a single array, bb(512,512,512,3), bb8gau.dat (1.6 GB)<br> Gaussian magnetic field for Run K (same spectrum as bb8.dat) D512_Pm20a2_bb8_versus_z.mpg (4.2 MB)<br> Anination of different z cross-sections for Run K D512_Pm20a2_versus_t.mpg (50.3 MB)<br> Anination of time evolution for Run S D512_Pm20a2_versus_z.mpg (5.8 MB)<br> Anination of different z cross-sections for Run S D512_Pm20a_gaussian9_versus_z.mpg (14.3 MB)<br> Anination of different z cross-sections for Gaussian version of Run K D512_Pm20a_gaussian_bb10_versus_z.mpg (9.5 MB)<br> Anination of different z cross-sections for Gaussian version of Run S D512_Pm20a_versus_t.mpg (19.3 MB)<br> Anination of time evolution for Run K rr10.dat (1.1 GB)<br> Density for Run S, rr(512,512,512). rr8.dat (1.1 GB)<br> Density for Run K, rr(512,512,512). <br> Analysis files for figures (34.5 MB each) fig2a_bb8.dat<br> fig2b_bb8.dat<br> fig2c_bb8.dat fig2d_bb10.dat<br> fig2e_bb10.dat<br> fig2f_bb10.dat fig5a_bb8.dat<br> fig5b_bb10.dat fig6a_mask.dat<br> fig6b_clip.dat power_mag_bb8.dat (6 kB)<br> power_mag_bb10.dat (6 kB)
DOI: 10.5281/zenodo.8350776
title: Estimation of biomass combustion carbon emissions data for 2015 in Africa based on GABAM fire trail products.

description: Estimated biomass combustion carbon emissions data for the African region in 2015, based on the GABAM 30m burned area product.The product is geographically (latitude/longitude) projected with a resolution of 0.00025° (approx. 30 meters) using the WGS84 horizontal datum and the EGM96 vertical datum, and consists of 10° x 10° tiles covering the entire African region.
DOI: 10.6084/m9.figshare.24126342.v2
title: Raw datasets for creating the negative control data

description: This contains data and script files necessary for reproducing negative control experiment.
DOI: 10.6084/m9.figshare.24151704
title: Data deposition

description: Data deposition
DOI: 10.6084/m9.figshare.24031050.v1
title: Genome annotation and population genetics of Parnassius glacialis

description: (1)Genome sequences: genome-v2.assembly.FINAL-ncbi.fasta(2)CDS sequences: P.glacialis.cds.fasta(3)Protein sequences: P.glacialis.protein.fasta(4)Gene annotation: P.glacialis.genome.gff3(5)8kb Upstream and 8kb downstream sequences of RPLP2 genes: RPLP2-8kup8kdown.fasta(6)VCF file of 9 populations: All41.snp.maf005.geno01.mis1.ld05.vcf.gz
DOI: 10.5281/zenodo.8105706
title: CAFFEINE Dataset

description: The CAFFEINE dataset contains non-intrusive sensor data (time series) and labels (coffee type for each time series, and actuator activation status at each time step) for 130 coffees. Eight sensors are placed along the power chain of the coffee making process (1 current sensor, 1 voltage sensor, 3 accelerometers, 2 temperature sensors, 1 coffee level sensor), producing signals originated by 5 sources (heating coil, infuser translation motor, grinder, vibration pump, (electronics)), sampled at 6250 Hz. The dataset comes with reading scripts and instructions for Python and MATLAB users. Intended uses for this dataset include <strong>blind source separation</strong> (multi-label clustering and signal decomposition), <strong>classification</strong>, as well as <strong>regression</strong> (multivariate time series forecasting), <strong>parameter identification</strong> and <strong>model synthesis</strong>.
DOI: 10.25625/z6f6vq/p7zkzx
title: Si_isotopes_repository.tab

description: Table with Si isotopes
DOI: 10.6084/m9.figshare.24031050
title: Genome annotation and population genetics of Parnassius glacialis

description: (1)Genome sequences: genome-v2.assembly.FINAL-ncbi.fasta(2)CDS sequences: P.glacialis.cds.fasta(3)Protein sequences: P.glacialis.protein.fasta(4)Gene annotation: P.glacialis.genome.gff3(5)8kb Upstream and 8kb downstream sequences of RPLP2 genes: RPLP2-8kup8kdown.fasta(6)VCF file of 9 populations: All41.snp.maf005.geno01.mis1.ld05.vcf.gz
DOI: 10.6084/m9.figshare.24031050.v2
title: Genome annotation and population genetics of Parnassius glacialis

description: (1)Genome sequences: genome-v2.assembly.FINAL-ncbi.fasta(2)CDS sequences: P.glacialis.cds.fasta(3)Protein sequences: P.glacialis.protein.fasta(4)Gene annotation: P.glacialis.genome.gff3(5)8kb Upstream and 8kb downstream sequences of RPLP2 genes: RPLP2-8kup8kdown.fasta
DOI: 10.6084/m9.figshare.24151749
title: Supplementary Material for: Clinical implication of CDH1 mutations in genetic testing for diffuse gastric cancer patients

description: Introduction: The objective of this study was to re-classify published germline CDH1 variants identified in gastric cancer (GC) in accordance with the latest ClinVar definition and to correlate their pathogenicity with the established international clinical criteria for genetic testing. Methods: The relevant literature dating from 1998 to 2019 was systematically searched for data on CDH1 germline mutations in accord with PRISMA guidelines. The collected variants were classified according to the latest ClinVar definition into the following classes: benign (B), likely benign (LB), pathogenic (P), likely pathogenic (LP), and variant of unknown significance (VUS). The Mc-Nemar test was used to compare the adequacy of current versus previous International GC Linkage Consortium (IGCLC) criteria. Results: We re-classified a total of 247 CDH1 variants, and we identified that about 70% of B/LB variant carriers were not fulfilling the defined clinical criteria. Instead, all P/LP variants (100%) were associated with the hereditary diffuse gastric cancer (HDGC) phenotype fulfilling the 2020 ILGCC criteria, with a significant improvement (p=0.025) compared to previous version. Conclusions: We conclude that germline CDH1 genetic testing is indicated only in families meeting the clinical criteria for the HDGC syndrome. This observation suggests that clinical phenotypes that do not clearly fulfill these criteria should not be considered for CDH1 genetic testing.
DOI: 10.6084/m9.figshare.24151749.v1
title: Supplementary Material for: Clinical implication of CDH1 mutations in genetic testing for diffuse gastric cancer patients

description: Introduction: The objective of this study was to re-classify published germline CDH1 variants identified in gastric cancer (GC) in accordance with the latest ClinVar definition and to correlate their pathogenicity with the established international clinical criteria for genetic testing. Methods: The relevant literature dating from 1998 to 2019 was systematically searched for data on CDH1 germline mutations in accord with PRISMA guidelines. The collected variants were classified according to the latest ClinVar definition into the following classes: benign (B), likely benign (LB), pathogenic (P), likely pathogenic (LP), and variant of unknown significance (VUS). The Mc-Nemar test was used to compare the adequacy of current versus previous International GC Linkage Consortium (IGCLC) criteria. Results: We re-classified a total of 247 CDH1 variants, and we identified that about 70% of B/LB variant carriers were not fulfilling the defined clinical criteria. Instead, all P/LP variants (100%) were associated with the hereditary diffuse gastric cancer (HDGC) phenotype fulfilling the 2020 ILGCC criteria, with a significant improvement (p=0.025) compared to previous version. Conclusions: We conclude that germline CDH1 genetic testing is indicated only in families meeting the clinical criteria for the HDGC syndrome. This observation suggests that clinical phenotypes that do not clearly fulfill these criteria should not be considered for CDH1 genetic testing.
DOI: 10.6084/m9.figshare.24151752
title: Supplementary Material for: Clinical implication of CDH1 mutations in genetic testing for diffuse gastric cancer patients

description: Introduction: The objective of this study was to re-classify published germline CDH1 variants identified in gastric cancer (GC) in accordance with the latest ClinVar definition and to correlate their pathogenicity with the established international clinical criteria for genetic testing. Methods: The relevant literature dating from 1998 to 2019 was systematically searched for data on CDH1 germline mutations in accord with PRISMA guidelines. The collected variants were classified according to the latest ClinVar definition into the following classes: benign (B), likely benign (LB), pathogenic (P), likely pathogenic (LP), and variant of unknown significance (VUS). The Mc-Nemar test was used to compare the adequacy of current versus previous International GC Linkage Consortium (IGCLC) criteria. Results: We re-classified a total of 247 CDH1 variants, and we identified that about 70% of B/LB variant carriers were not fulfilling the defined clinical criteria. Instead, all P/LP variants (100%) were associated with the hereditary diffuse gastric cancer (HDGC) phenotype fulfilling the 2020 ILGCC criteria, with a significant improvement (p=0.025) compared to previous version. Conclusions: We conclude that germline CDH1 genetic testing is indicated only in families meeting the clinical criteria for the HDGC syndrome. This observation suggests that clinical phenotypes that do not clearly fulfill these criteria should not be considered for CDH1 genetic testing.
DOI: 10.6084/m9.figshare.24151752.v1
title: Supplementary Material for: Clinical implication of CDH1 mutations in genetic testing for diffuse gastric cancer patients

description: Introduction: The objective of this study was to re-classify published germline CDH1 variants identified in gastric cancer (GC) in accordance with the latest ClinVar definition and to correlate their pathogenicity with the established international clinical criteria for genetic testing. Methods: The relevant literature dating from 1998 to 2019 was systematically searched for data on CDH1 germline mutations in accord with PRISMA guidelines. The collected variants were classified according to the latest ClinVar definition into the following classes: benign (B), likely benign (LB), pathogenic (P), likely pathogenic (LP), and variant of unknown significance (VUS). The Mc-Nemar test was used to compare the adequacy of current versus previous International GC Linkage Consortium (IGCLC) criteria. Results: We re-classified a total of 247 CDH1 variants, and we identified that about 70% of B/LB variant carriers were not fulfilling the defined clinical criteria. Instead, all P/LP variants (100%) were associated with the hereditary diffuse gastric cancer (HDGC) phenotype fulfilling the 2020 ILGCC criteria, with a significant improvement (p=0.025) compared to previous version. Conclusions: We conclude that germline CDH1 genetic testing is indicated only in families meeting the clinical criteria for the HDGC syndrome. This observation suggests that clinical phenotypes that do not clearly fulfill these criteria should not be considered for CDH1 genetic testing.
DOI: 10.6084/m9.figshare.24151755
title: Supplementary Material for: Clinical implication of CDH1 mutations in genetic testing for diffuse gastric cancer patients

description: Introduction: The objective of this study was to re-classify published germline CDH1 variants identified in gastric cancer (GC) in accordance with the latest ClinVar definition and to correlate their pathogenicity with the established international clinical criteria for genetic testing. Methods: The relevant literature dating from 1998 to 2019 was systematically searched for data on CDH1 germline mutations in accord with PRISMA guidelines. The collected variants were classified according to the latest ClinVar definition into the following classes: benign (B), likely benign (LB), pathogenic (P), likely pathogenic (LP), and variant of unknown significance (VUS). The Mc-Nemar test was used to compare the adequacy of current versus previous International GC Linkage Consortium (IGCLC) criteria. Results: We re-classified a total of 247 CDH1 variants, and we identified that about 70% of B/LB variant carriers were not fulfilling the defined clinical criteria. Instead, all P/LP variants (100%) were associated with the hereditary diffuse gastric cancer (HDGC) phenotype fulfilling the 2020 ILGCC criteria, with a significant improvement (p=0.025) compared to previous version. Conclusions: We conclude that germline CDH1 genetic testing is indicated only in families meeting the clinical criteria for the HDGC syndrome. This observation suggests that clinical phenotypes that do not clearly fulfill these criteria should not be considered for CDH1 genetic testing.
DOI: 10.6084/m9.figshare.24151755.v1
title: Supplementary Material for: Clinical implication of CDH1 mutations in genetic testing for diffuse gastric cancer patients

description: Introduction: The objective of this study was to re-classify published germline CDH1 variants identified in gastric cancer (GC) in accordance with the latest ClinVar definition and to correlate their pathogenicity with the established international clinical criteria for genetic testing. Methods: The relevant literature dating from 1998 to 2019 was systematically searched for data on CDH1 germline mutations in accord with PRISMA guidelines. The collected variants were classified according to the latest ClinVar definition into the following classes: benign (B), likely benign (LB), pathogenic (P), likely pathogenic (LP), and variant of unknown significance (VUS). The Mc-Nemar test was used to compare the adequacy of current versus previous International GC Linkage Consortium (IGCLC) criteria. Results: We re-classified a total of 247 CDH1 variants, and we identified that about 70% of B/LB variant carriers were not fulfilling the defined clinical criteria. Instead, all P/LP variants (100%) were associated with the hereditary diffuse gastric cancer (HDGC) phenotype fulfilling the 2020 ILGCC criteria, with a significant improvement (p=0.025) compared to previous version. Conclusions: We conclude that germline CDH1 genetic testing is indicated only in families meeting the clinical criteria for the HDGC syndrome. This observation suggests that clinical phenotypes that do not clearly fulfill these criteria should not be considered for CDH1 genetic testing.
DOI: 10.5519/qd.br4l4bl3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.5519/qd.7bzmkjc4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.5519/qd.zagh27d1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.5281/zenodo.8351549
title: Perception of librarians towards adoption of Linked Open Data

description: This dataset is associated to an article on perception of librarians towards the adoption of Linked Open Data
DOI: 10.5281/zenodo.8351548
title: Perception of librarians towards adoption of Linked Open Data

description: This dataset is associated to an article on perception of librarians towards the adoption of Linked Open Data
DOI: 10.5281/zenodo.8351611
title: Datos

description: Datos de investigación
DOI: 10.5281/zenodo.8351610
title: Datos

description: Datos de investigación
DOI: 10.34740/kaggle/dsv/6482737
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/6482680
title: Tata Motors Employee Reviews Dataset
DOI: 10.5281/zenodo.7703406
title: High-Pressure Single-Crystal Elasticity of Corundum: Implication for Multiple Seismic Structure of 660-km Discontinuity

description: Here are the experimental data.
DOI: 10.5281/zenodo.7703405
title: High-Pressure Single-Crystal Elasticity of Corundum: Implication for Multiple Seismic Structure of 660-km Discontinuity

description: Here are the experimental data.