cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16947603
title: Polymorphisms of the <i>TNF</i>, <i>LTA</i>, and <i>TNFRSF1B</i> genes are associated with onsets of menarche and menopause in US women of European ancestry

description: The <i>TNF</i>, <i>LTA</i> and <i>TNFRSF1B</i> genes have been implicated in various traits related to menarche and menopause. To analyse the <i>TNF</i>, <i>LTA</i> and <i>TNFRSF1B</i> genes for their association with ages at menarche (AM) and natural menopause (ANM). The study sample consisted of 314 unrelated females of European ancestry. Twenty SNPs located in and near the genes were analysed using various statistical methods. In addition, the functional significance of the loci associated with AM and ANM was analysed <i>in silico</i>. Locus rs2229094 of the <i>LTA</i> gene was associated with AM according to the additive (<i>β</i> = −0.295, <i>p</i><sub>perm</sub> = 0.016) and recessive (<i>β</i> = −0.940, <i>p</i><sub>perm</sub> = 0.016) genetic models. Haplotype GG rs1148459-rs590368 of the <i>TNFRSF1B</i> gene was associated with AM (<i>β</i> = 0.307, <i>p</i><sub>perm</sub> = 0.023). Haplotype GCA rs2844484-rs2229094-rs1799964 was associated with ANM after adjustment for covariates (<i>β</i> = −1.020, <i>p</i><sub>perm</sub> = 0.035). All studied loci were associated with ANM after adjustment for breastfeeding (raw <i>p</i> The results of the present study suggest that the <i>TNF</i>, <i>LTA</i> and <i>TNFRSF1B</i> genes are associated with AM and ANM.
DOI: 10.6084/m9.figshare.16947603.v1
title: Polymorphisms of the <i>TNF</i>, <i>LTA</i>, and <i>TNFRSF1B</i> genes are associated with onsets of menarche and menopause in US women of European ancestry

description: The <i>TNF</i>, <i>LTA</i> and <i>TNFRSF1B</i> genes have been implicated in various traits related to menarche and menopause. To analyse the <i>TNF</i>, <i>LTA</i> and <i>TNFRSF1B</i> genes for their association with ages at menarche (AM) and natural menopause (ANM). The study sample consisted of 314 unrelated females of European ancestry. Twenty SNPs located in and near the genes were analysed using various statistical methods. In addition, the functional significance of the loci associated with AM and ANM was analysed <i>in silico</i>. Locus rs2229094 of the <i>LTA</i> gene was associated with AM according to the additive (<i>β</i> = −0.295, <i>p</i><sub>perm</sub> = 0.016) and recessive (<i>β</i> = −0.940, <i>p</i><sub>perm</sub> = 0.016) genetic models. Haplotype GG rs1148459-rs590368 of the <i>TNFRSF1B</i> gene was associated with AM (<i>β</i> = 0.307, <i>p</i><sub>perm</sub> = 0.023). Haplotype GCA rs2844484-rs2229094-rs1799964 was associated with ANM after adjustment for covariates (<i>β</i> = −1.020, <i>p</i><sub>perm</sub> = 0.035). All studied loci were associated with ANM after adjustment for breastfeeding (raw <i>p</i> The results of the present study suggest that the <i>TNF</i>, <i>LTA</i> and <i>TNFRSF1B</i> genes are associated with AM and ANM.
DOI: 10.5281/zenodo.5806021
title: Corydoras paleatus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5803759
title: Reference solutions for "A validated non-linear Kelvin-Helmholtz benchmark for numerical hydrodynamics"

description: This dataset contains hdf5 files with reference solutions to the validated non-linear Kelvin-Helmholtz benchmark problem described in Lecoanet et al. (2016). The hdf5 files include snapshots at t=2, 4, 6, 8 for the Re=10^5 D4096 simulation with Δρ/ρ0=1 (5_4096_2_*.h5), the Re=10^5 D2048 simulation with Δρ/ρ0=0 (5_2048_1_*.h5), and the Re=10^6 D2048 simulation with Δρ/ρ0=0 (6_2048_1_*.h5). The velocity, density, temperature, and dye field are contained in the tasks group. The exact output time and the grid are contained in the scales group.
DOI: 10.5281/zenodo.5803758
title: Reference solutions for "A validated non-linear Kelvin-Helmholtz benchmark for numerical hydrodynamics"

description: This dataset contains hdf5 files with reference solutions to the validated non-linear Kelvin-Helmholtz benchmark problem described in Lecoanet et al. (2016). The hdf5 files include snapshots at t=2, 4, 6, 8 for the Re=10^5 D4096 simulation with Δρ/ρ0=1 (5_4096_2_*.h5), the Re=10^5 D2048 simulation with Δρ/ρ0=0 (5_2048_1_*.h5), and the Re=10^6 D2048 simulation with Δρ/ρ0=0 (6_2048_1_*.h5). The velocity, density, temperature, and dye field are contained in the tasks group. The exact output time and the grid are contained in the scales group.
DOI: 10.5281/zenodo.5806069
title: Travel Time Prediction and Explanation with Spatio-TemporalFeatures: A Comparative Study

description: Datasets are used in the paper "Travel Time Prediction and Explanation with Spatio-TemporalFeatures: A Comparative Study".
DOI: 10.5281/zenodo.5806068
title: Travel Time Prediction and Explanation with Spatio-TemporalFeatures: A Comparative Study

description: Datasets are used in the paper "Travel Time Prediction and Explanation with Spatio-TemporalFeatures: A Comparative Study".
DOI: 10.5281/zenodo.5806049
title: Erythroxylum ulei SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806048
title: Erythroxylum ulei SPAdes preassembly

description: .
DOI: 10.23728/fmi-b2share.64748f37e21e4265998dee1b3ab1b6f1
title: RoadSurf Road-weather Model Data RCP8.5 (1986-2100)

description: Projections of road weather from the road weather model RoadSurf, driven by HCLIM38-ALADIN regional climate data and global climate models EC-Earth and GFDL followig the RCP 8.5 climate change scenario for the periods 1986-2005, 2041-2060, and 2081-2100 (monthly averages from hourly resolution) in a 12x12km grid. The analysed domain is northern Europe, including Finland, Sweden, Norway, and Denmark. The model is calibrated to Finland. For model evaluation, an ERA-Interim reanalysis run was done as well for the years 1999-2018 for the full domain (which includes northern and central Europe, as well as UK and Iceland) of northern and central Europe. Road surface temperatures for all periods can be retrieved for the full domain.
DOI: 10.6084/m9.figshare.17694764
title: Nelumbo plastomic SNVs aligment

description: Alignment of <i>Nelumbo </i>species plastomic SNVs used for ML tree.<br>
DOI: 10.6084/m9.figshare.17694764.v2
title: Nelumbo plastomic SNVs aligment

description: Alignment of <i>Nelumbo </i>species plastomic SNVs used for ML tree.<br>
DOI: 10.6084/m9.figshare.17694764.v1
title: Nelumbo plastomic SNVs aligment

description: Alignment of <i>Nelumbo </i>species plastomic SNVs used for ML tree.<br>
DOI: 10.5281/zenodo.5806079
title: Goniobranchus fidelis SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806078
title: Goniobranchus fidelis SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.17645570.v2
title: Species data used in "Evaluating the robustness of Bergmann’s and Rapoport’s rules assessment to different range sources and analytical methods in New World Pit Vipers"

description: Species ranges estimated by experts, from ENMs and the phylogenies used in our analyses
DOI: 10.25646/9472
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: 10.5281/zenodo.5806122
title: Goniobranchus geometricus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806121
title: Goniobranchus geometricus SPAdes preassembly

description: .
DOI: 10.48370/ofd/zzz99k/fbwrgb
title: m-1243.tif

description: :unav
DOI: 10.48370/ofd/zzz99k
title: Hexagonia nitida Durieu Montagne, 1243

description: Grzyby makromycetes
DOI: 10.5066/f7f18wwf
title: Point Measurements of Surface Mass Balance, Eklutna Glacier, Alaska, 2008-2015 (Duplicate DOI)

description: This data set consists of a time-series of direct measurements of glacier surface mass balance, at Eklutna Glacier, Alaska. It includes seasonal measurements of winter snow accumulation and summer snow and ice ablation. Note: This is a duplicate DOI and is being retained in case of external references to it. The primary DOI is F7MP51CB.
DOI: 10.34740/kaggle/dsv/2975035
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.5806148
title: Erythroxylum foetidum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806147
title: Erythroxylum foetidum SPAdes preassembly

description: .
DOI: 10.5066/f7td9w8z
title: Alaska Land Carbon Assessment Data

description: We are provoding a set of table and maps that provides summary of ecosystem carbon balance (pools and fluxes) as simulated by the Dynamic Organic Soil version of the Terrestrial Ecosystem Model. Simulations are provided for the historical period from 1950 to 2009 and projections from 2010 to 2099, for the four main landscape conservation cooperative regions in Alaska (i.e. the Arctic, the Western Alaska, the North Pacific and the Northwest Boreal LCCs). Projections have been conducted at 1km-resolution for two set of climate scenarios for the A1B, B1 and A2 emission scenarios of the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC-SRES). The two global circulation models used for these projections are (1) the 5th generation of the ECHAM general circulation model from the Max Planck Institute for Meteorology (ECHAM5), and (2) the fourth generation global circulation model from the Canadian Centre for Climate Modelling and Analysis (CCCMA). Pools and fluxes are summarized for uplands and lowlands separately. Vegetation carbon pools only concern living biomass. Soil carbon pools include organic layers, 1m deep mineral layers and dead woody debris. Positive fluxes indicate carbon assimilated to the ecosystem. Negative fluxes indicate carbon released to the atmosphere. Carbon fluxes are vegetation Net Primary Productivity (NPP), soil Heterotrophic respiration (HR), CO &amp;amp; CO2 and CH4 fire emissions from organic layer and vegetation burning (PYRO_COCO2 and PYRO_CH4 respectively), biogenic CH4 fluxes (BIO_CH4) and Net Ecosystem Carbon Balance (NECB).
DOI: 10.34740/kaggle/dsv/2975078
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5806172
title: Muscicapa comitata SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806158
title: Raw data for "A-Proof-of -Concept: In vivo Volatile Organic Compounds Secretion Monitoring as a Tool for Prediction of Natural Pest Control Ability"

description: This upload refers to work entitled "A-Proof-of -Concept: In vivo Volatile Organic Compounds Secretion Monitoring as a Tool for Prediction of Natural Pest Control Ability" and contains the unprocessed data obtained during experiments perform.
DOI: 10.5281/zenodo.5806157
title: Raw data for "A-Proof-of -Concept: In vivo Volatile Organic Compounds Secretion Monitoring as a Tool for Prediction of Natural Pest Control Ability"

description: This upload refers to work entitled "A-Proof-of -Concept: In vivo Volatile Organic Compounds Secretion Monitoring as a Tool for Prediction of Natural Pest Control Ability" and contains the unprocessed data obtained during experiments perform.
DOI: 10.5281/zenodo.5806171
title: Muscicapa comitata SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.16811488.v1
title: TableS6

description: Gene Ontology analyses for the snATAC-seq cell specific markers that correlated with the snRNA-seq transcriptomes.
DOI: 10.6084/m9.figshare.15141678.v1
title: TableS7

description: Differentially expressed genes between control and knockdown mice in the snRNA-seq dataset.
DOI: 10.6084/m9.figshare.15141687.v1
title: TableS8

description: Differentially accessible chromatin between control and knockdown mice from the snATAC-seq dataset.
DOI: 10.6084/m9.figshare.16811488
title: TableS6

description: Gene Ontology analyses for the snATAC-seq cell specific markers that correlated with the snRNA-seq transcriptomes.
DOI: 10.6084/m9.figshare.15141687
title: TableS8

description: Differentially accessible chromatin between control and knockdown mice from the snATAC-seq dataset.
DOI: 10.6084/m9.figshare.15141669
title: TableS4_Markers

description: Cell Cluster identification for the kidney snRNA-seq dataset and snATAC-seq dataset.
DOI: 10.6084/m9.figshare.15141663
title: TableS3

description: Primer sequences used in the study.
DOI: 10.6084/m9.figshare.15141669.v1
title: TableS4_Markers

description: Cell Cluster identification for the kidney snRNA-seq dataset and snATAC-seq dataset.
DOI: 10.6084/m9.figshare.15141672
title: TableS5

description: Differentially expressed genes and associated differentially accessible chromatin from the kidney snRNA-seq and snATAC-seq datasets.
DOI: 10.6084/m9.figshare.15141645
title: TableS1_Biometrics.xlsx

description: Mass, kidney mass, and plasma electrolytes from the mice used in this study.
DOI: 10.6084/m9.figshare.15141645.v1
title: TableS1_Biometrics.xlsx

description: Mass, kidney mass, and plasma electrolytes from the mice used in this study.
DOI: 10.6084/m9.figshare.15141678
title: TableS7

description: Differentially expressed genes between control and knockdown mice in the snRNA-seq dataset.
DOI: 10.6084/m9.figshare.15141660
title: TableS2

description: CellRanger ATAC output summary of each sample.
DOI: 10.6084/m9.figshare.15141672.v1
title: TableS5

description: Differentially expressed genes and associated differentially accessible chromatin from the kidney snRNA-seq and snATAC-seq datasets.
DOI: 10.25345/c5h005
title: MassIVE MSV000088618 - Reduced binding of apolipoprotein E4 isoform to complement factor H promotes amyloid-beta induced neuroinflammation
title: Brain total lysate from ad patient. Reduced binding of apolipoprotein E4 isoform to complement factor H promotes amyloid-beta induced neuroinflammation.
DOI: 10.34740/kaggle/dsv/2972359
title: Patient Survival Prediction
DOI: 10.6084/m9.figshare.17645570.v3
title: Species data used in "Evaluating the robustness of Bergmann’s and Rapoport’s rules to different range sources and pattern approaches in New World Pit Vipers"

description: Species ranges estimated by experts, from ENMs and the phylogenies used in our analyses
DOI: 10.5281/zenodo.5806237
title: Characterization of Pore Structure with Box Counting Fractal Dimension Based on Digital Rock

description: This is a supplementary data set for a manuscript submitted to Journal of Geophysical Research: Solid Earth. This data set includes CT samples, process-based model, fractal dimensions calculated by the box counting algorithm, and Matlab codes to implement these modeling and fractal calculations.
DOI: 10.5281/zenodo.5806236
title: Characterization of Pore Structure with Box Counting Fractal Dimension Based on Digital Rock

description: This is a supplementary data set for a manuscript submitted to Journal of Geophysical Research: Solid Earth. This data set includes CT samples, process-based model, fractal dimensions calculated by the box counting algorithm, and Matlab codes to implement these modeling and fractal calculations.
DOI: 10.34740/kaggle/dsv/2975287
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5806245
title: Erythroxylum dillonii decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5806244
title: Erythroxylum dillonii decontaminated FSCR

description: .
DOI: 10.3886/e145141
title: Data and Code for: Measuring the Welfare Effects of Shame and Pride

description: This is the data packet accompanying the manuscript "Measuring the Welfare Effects of Shame and Pride", AER-2019-0433.
DOI: 10.3886/e120746v1
title: Data and Code for: Labor market returns to vocational secondary education

description: We study labor-market returns to vocational versus general secondary education using a regression discontinuity design created by the centralized admissions process in Finland. Admission to the vocational track increases initial annual income and this benefit persists at least through the mid-thirties, and present discount value calculations suggest that it is unlikely that life-cycle returns will turn negative through retirement. Moreover, admission to the vocational track does not increase the likelihood of working in jobs at risk of replacement by automation or offshoring. Consistent with comparative advantage, we observe larger returns for people who express a preference for vocational education.<br>
description: <br>Full population<br>
description: <br>Finnish secondary school students<br>. Smallest Geographic Unit: Finland
DOI: 10.3886/e118722
title: Data and Codes for Offshoring, Automation, Low-Skilled Immigration and Labor Market Polarization

description: We show that the observed polarization of employment toward the high- and low-skill occupations disappears when only native workers are considered. Instead, low-skilled immigration explains employment growth at the low tail of the skill distribution. Moreover, while employment rose, wages remained subdued in low-skill occupations. A data-disciplined structural model accounts for this evidence: Offshoring and automation negatively affect middle-skill occupations but enhance employment and wages for the high-skilled. Low-skill employment is sheltered from offshoring and automation, as it consists of manual, non-tradable services. However, low-skilled immigration depresses low-skill wages and encourages native workers to move up along the skill ladder through training.
DOI: 10.3886/e118722v1
title: Data and Codes for Offshoring, Automation, Low-Skilled Immigration and Labor Market Polarization

description: We show that the observed polarization of employment toward the high- and low-skill occupations disappears when only native workers are considered. Instead, low-skilled immigration explains employment growth at the low tail of the skill distribution. Moreover, while employment rose, wages remained subdued in low-skill occupations. A data-disciplined structural model accounts for this evidence: Offshoring and automation negatively affect middle-skill occupations but enhance employment and wages for the high-skilled. Low-skill employment is sheltered from offshoring and automation, as it consists of manual, non-tradable services. However, low-skilled immigration depresses low-skill wages and encourages native workers to move up along the skill ladder through training.
DOI: 10.3886/e122001
title: Data and Code for: The Long-Run Effects of Recessions on Education and Income

description: This project contains data and code for "The Long-Run Effects of Recessions on Education and Income."
DOI: 10.3886/e122001v1
title: Data and Code for: The Long-Run Effects of Recessions on Education and Income

description: This project contains data and code for "The Long-Run Effects of Recessions on Education and Income."
DOI: 10.5281/zenodo.5806284
title: Bening Flow Data Train (D1)

description: Train dataset only contains benign traffic, this dataset has been collected using Netflow and implementing a sampling rate of 1 packet out of each 1000 to generate the flows, simulating the conditions of the RedCayle’s routers. The traffic has been generated using three Python scripts. The first one simulates email sending using SMTP protocol. The second script simulates SSH connections. The third script simulates a user browsing the internet using different search engines and different protocols like HTTP and HTTPS.
DOI: 10.5281/zenodo.5806295
title: Slow Port Scan Test (D2)

description: Ports scan dataset contains approximately 50% benign flow data and 50% malicious flow data. Benign flow data have been generated with the same python scripts used in D1 and has been labeled as '0'. Malicious flow data has been labeled as '1'. Malicious flow data has been generated using Nmap tool. Different types of slow port scans have been launched on both TCP and UDP ports. The scans carried out were: TCP SYN scanning; TCP Connect scanning; UDP scanning; TCP NULL; FIN; Xmas scanning; TCP ACK scanning; TCP Window scanning; and TCP Maimon scanning. Slow port-scanning attacks have been carried out by 100 attack nodes that scanned 65536 ports on 200 victim nodes. Requests are launched with 5 to 10 seconds of slack time among them.
DOI: 10.5281/zenodo.5806300
title: SQL Injection Test (D3)

description: This dataset has SQL injection attacks as malicious flow data. The attacks carried out are SQL injection for Union Query and Blind SQL injection. To perform the attacks, the SQLmap tool has been used.
DOI: 10.5281/zenodo.5806299
title: SQL Injection Test (D3)

description: This dataset has SQL injection attacks as malicious flow data. The attacks carried out are SQL injection for Union Query and Blind SQL injection. To perform the attacks, the SQLmap tool has been used.
DOI: 10.5281/zenodo.5805530
title: Federated Learning for 5G SS

description: Part of the data for Federated Learning-based 5G spectrum sensing
DOI: 10.5281/zenodo.5805529
title: Federated Learning for 5G SS

description: Part of the data for Federated Learning-based 5G spectrum sensing
DOI: 10.34740/kaggle/dsv/2975490
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.21227/4wv9-q902
title: Predicting Clinical Trial Outcomes Using Drug Bioactivities

description: The ability to estimate the probability of a drug to receive approval in clinical trials provides natural advantages to optimizing pharmaceutical research workflows. Success rates of a clinical trials have deep implications to costs, duration of development, and under pressure due to stringent regulatory approval processes. We propose a machine learning approach that can predict the outcome of trial with reliable accuracies, using biological activities, physico-chemical properties of the compounds, target related features and NLP-based compound representation. Biological activities have never been used as a predictive feature. We have extracted the drug-disease pair from clinical trials and mapped target[s] to that pair using multiple data sources. Empirical results demonstrate that ensemble learning outperforms independently trained, small-data ML models. We report results and inferences derived from a Random forest classifier with an average accuracy of 93\%, and F1 score of 0.96 for the 'Pass' class. 'Pass' refers to one of the two classes (Pass/ Fail) of all clinical trials and the model performed well in predicting the 'Pass' category. An analysis of the features demonstrates that bioactivity plays an important role in predicting the outcome of a clinical trial. A significant effort has gone into production of the dataset that, for the first time, integrates clinical trial information with protein targets. All code to map these entities are available through this study, and all data are from publicly available sources. While our model identifies low-lying inferences when biological activities are included, the code to integrate biological activity and target information provides researchers with access to deep curated and proprietary clinical trial databases the ability to get deeper insights, better statistical significance, and capabilities to better predict trial failures.
DOI: 10.15468/hvggnr
title: Diversity, distribution and community composition of fish in perialpine lakes – “ Projet Lac ” synthesis report

description: This dataset contains the digitized treatments in Plazi based on the original book / thesis / monograph Alexander, Timothy, Seehausen, Ole (2021): Diversity, distribution and community composition of fish in perialpine lakes – “ Projet Lac ” synthesis report. Eawag: Swiss Federal Institute of Aquatic Science and Technology, ISBN: 978-3-906484-76-1, DOI: http://doi.org/10.5281/zenodo.5779569, URL: https://www.dora.lib4ri.ch/eawag/islandora/object/eawag:24051