cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13635305.v3
title: Data from: Early warning indicators of population collapse in a seasonal environment

description: Bi-seasonal (breeding, <b>b</b>, and <b>non-breeding</b>, <b>nb</b>) abundances (<b>count</b>) from experimental population of <i>Drosophila melanogaster</i> exposed to chronic season-specific habitat loss. Populations were exposed to habitat loss in either the breeding or non-breeding period (<b>seasonT</b>), and were subject to one of two rates of loss: 10% or 20% per generation (<b>lossT</b>). In addition, a subset of individuals were measured from half of the replicate populations (<b>rep</b>; <b>treat_rep</b>). From each individual, measures of locomotion (<b>activity</b>; <b>crosses</b>) were collected using a Drosophila activity monitor, in which the movements of individual flies are autonomously recorded using infrared light beams. These individuals were then frozen, dried, and weighed (<b>weight</b>). <br><b>See readme.txt for definitions of variables in both datasets.<br></b><br>The abundance data has been used to determine whether populations losing breeding and non-breeding habitat decline in different ways and whether the season of decline is detectable in simple vital rates. By combining the abundance and phenotype data, we explored whether the production of trait-based early warning indicators of population collapse differs between populations losing breeding and non-breeding habitat.
DOI: 10.6084/m9.figshare.13635305.v2
title: Data from: Early warning indicators of population collapse in a seasonal environment

description: Bi-seasonal (breeding, <b>b</b>, and <b>non-breeding</b>, <b>nb</b>) abundances (<b>count</b>) from experimental population of <i>Drosophila melanogaster</i> exposed to chronic season-specific habitat loss. Populations were exposed to habitat loss in either the breeding or non-breeding period (<b>seasonT</b>), and were subject to one of two rates of loss: 10% or 20% per generation (<b>lossT</b>). In addition, a subset of individuals were measured from half of the replicate populations (<b>rep</b>; <b>treat_rep</b>). From each individual, measures of locomotion (<b>activity</b>; <b>crosses</b>) were collected using a Drosophila activity monitor, in which the movements of individual flies are autonomously recorded using infrared light beams. These individuals were then frozen, dried, and weighed (<b>weight</b>). <br><b>See readme.txt for definitions of variables in both datasets.<br></b><br>The abundance data has been used to determine whether populations losing breeding and non-breeding habitat decline in different ways and whether the season of decline is detectable in simple vital rates. By combining the abundance and phenotype data, we explored whether the production of trait-based early warning indicators of population collapse differs between populations losing breeding and non-breeding habitat.
DOI: 10.5281/zenodo.4625504
title: Dynamic Characteristics of Lightning Channel Radial Expansion

description: The dynamic evolutional characteristics of return stroke channel are of great significance for studying the micro-physical mechanism of the lightning discharge process. This paper established a simplified radiation-hydrodynamic model (RHM) of the return stroke channel radial expansion based on the fluid dynamics theory and the light radiation characteristics of the discharge process. The temporal evolutions of the return stroke channel were analyzed. The results indicated that the current peak value and the rising time are important factors affecting channel dynamics characteristics. Before the peak current, the channel temperature and pressure reached the maximum, which make the channel accelerate expand. After the peak current, the channel temperature could rise to another higher peak. The decline in temperature was far slower than that of the current. This work provides reference data for further research on the radial energy transport of return stroke channels and the formation mechanism of shock waves.The dynamic evolutional characteristics of return stroke channel are of great significance for studying the micro-physical mechanism of the lightning discharge process. This paper established a simplified radiation-hydrodynamic model (RHM) of the return stroke channel radial expansion based on the fluid dynamics theory and the light radiation characteristics of the discharge process. The temporal evolutions of the return stroke channel were analyzed. The results indicated that the current peak value and the rising time are important factors affecting channel dynamics characteristics. Before the peak current, the channel temperature and pressure reached the maximum, which make the channel accelerate expand. After the peak current, the channel temperature could rise to another higher peak. The decline in temperature was far slower than that of the current. This work provides reference data for further research on the radial energy transport of return stroke channels and the formation mechanism of shock waves.
DOI: 10.5281/zenodo.4625503
title: Dynamic Characteristics of Lightning Channel Radial Expansion

description: The dynamic evolutional characteristics of return stroke channel are of great significance for studying the micro-physical mechanism of the lightning discharge process. This paper established a simplified radiation-hydrodynamic model (RHM) of the return stroke channel radial expansion based on the fluid dynamics theory and the light radiation characteristics of the discharge process. The temporal evolutions of the return stroke channel were analyzed. The results indicated that the current peak value and the rising time are important factors affecting channel dynamics characteristics. Before the peak current, the channel temperature and pressure reached the maximum, which make the channel accelerate expand. After the peak current, the channel temperature could rise to another higher peak. The decline in temperature was far slower than that of the current. This work provides reference data for further research on the radial energy transport of return stroke channels and the formation mechanism of shock waves.The dynamic evolutional characteristics of return stroke channel are of great significance for studying the micro-physical mechanism of the lightning discharge process. This paper established a simplified radiation-hydrodynamic model (RHM) of the return stroke channel radial expansion based on the fluid dynamics theory and the light radiation characteristics of the discharge process. The temporal evolutions of the return stroke channel were analyzed. The results indicated that the current peak value and the rising time are important factors affecting channel dynamics characteristics. Before the peak current, the channel temperature and pressure reached the maximum, which make the channel accelerate expand. After the peak current, the channel temperature could rise to another higher peak. The decline in temperature was far slower than that of the current. This work provides reference data for further research on the radial energy transport of return stroke channels and the formation mechanism of shock waves.
DOI: 10.25646/8170
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: 10.25345/c53b99
title: MassIVE MSV000087079 - The MS/MS data of the metabolic profiles of Pseudogymnoascus sp. HSX2#-11
title: The MS/MS data of the metabolic profiles of Pseudogymnoascus sp. HSX2#-11
DOI: 10.6084/m9.figshare.14254439
title: data.xlsx

description: Data for Nano-scale Wetting Film Impact on Multiphase Transport Properties in Porous Media
DOI: 10.5281/zenodo.4273959
title: Dataset from: Adding leaves to the Lepidoptera phylogeny: Capturing hundreds of nuclear genes from old museum specimens

description: Museum collections around the world contain billions of specimens, including rare and extinct species. If their genetic information could be retrieved at a large scale, this would dramatically increase our knowledge of genetic and taxonomic diversity information, and support evolutionary, ecological and systematic studies. We here present a target enrichment kit for 2953 loci in 1753 orthologous nuclear genes + the barcoding region of cytochrome C oxidase 1, for Lepidoptera and demonstrate its utility to obtain a large number of nuclear loci from dry, pinned museum material collected from 1892 to 2017. We sequenced enriched libraries of 37 museum specimens across the order Lepidoptera, many from higher taxa not yet included in high-throughput molecular studies, showing that our kit can be used to generate comparable data across the order, and provides resolution both for shallower and deeper nodes. The filtered datasets (172 taxa, 234,464 amino acid positions and corresponding nucleotides from 1,835 CDS regions) were used to infer a phylogeny of Lepidoptera, which is largely congruent in topology to recent phylogenomic studies, but with the addition of some key taxa. <br> We furthermore present our TEnriAn (Target Enrichment Analysis) workflow for processing and combining target enrichment, transcriptomic and genomic data.<br>
DOI: 10.5281/zenodo.4273958
title: Dataset from: Adding leaves to the Lepidoptera phylogeny: Capturing hundreds of nuclear genes from old museum specimens

description: Museum collections around the world contain billions of specimens, including rare and extinct species. If their genetic information could be retrieved at a large scale, this would dramatically increase our knowledge of genetic and taxonomic diversity information, and support evolutionary, ecological and systematic studies. We here present a target enrichment kit for 2953 loci in 1753 orthologous nuclear genes + the barcoding region of cytochrome C oxidase 1, for Lepidoptera and demonstrate its utility to obtain a large number of nuclear loci from dry, pinned museum material collected from 1892 to 2017. We sequenced enriched libraries of 37 museum specimens across the order Lepidoptera, many from higher taxa not yet included in high-throughput molecular studies, showing that our kit can be used to generate comparable data across the order, and provides resolution both for shallower and deeper nodes. The filtered datasets (172 taxa, 234,464 amino acid positions and corresponding nucleotides from 1,835 CDS regions) were used to infer a phylogeny of Lepidoptera, which is largely congruent in topology to recent phylogenomic studies, but with the addition of some key taxa. <br> We furthermore present our TEnriAn (Target Enrichment Analysis) workflow for processing and combining target enrichment, transcriptomic and genomic data.<br>
DOI: 10.21227/m32m-4e98
title: Jan 23

description: Jan 23
DOI: 10.5519/qd.0f5s28ww
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8681 records)
DOI: 10.3886/e116363v1-81900
title: Replication data for: Do 40-Year-Old Facts Still Matter? Long-Run Effects of Federal Oversight under the Voting Rights Act

description: In 2013, the Supreme Court struck down parts of the Voting Rights Act that mandated federal oversight of election laws in discriminatory jurisdictions, prompting a spate of controversial new voting rules. Utilizing difference-in-differences to examine the act's 1975 revision, I provide the first estimates of the effects of "preclearance" oversight. I find that preclearance increased long-run voter turnout by 4-8 percentage points, due to lasting gains in minority participation. Surprisingly, Democratic support dropped sharply in areas subject to oversight. Using historical survey and newspaper data, I provide evidence that this was the result of political backlash among racially conservative whites.
DOI: 10.5281/zenodo.4625648
title: ASR dataset

description: Voice dataset - Twi
DOI: 10.25919/np3x-am92
title: Parkes observations for project P1092 semester 2020OCTS_15

description: We propose to use the Parkes UWL receiver for confirmation and monitoring a sub-set of bright FAST-discovered pulsars, especially for those discoveries located outside the sky regions covered by the purchased PX-500 project. For special FAST discoveries that already confirmed by Parkes, such as MSPs or pulsars with interesting emission properties, we propose to do long-term monitoring for them as well. These monitoring aim to solve their parameters, binary orbit, and provide significant insight into the special emission properties of these new discoveries and facilitate science. The Parkes UWL system provides a unique capability for studying the pulsars over wide bandwidths, in term of both the timing precision and frequency-dependent observing properties.
DOI: 10.6084/m9.figshare.14256284
title: Table 2 data for acp-2020-825

description: Aerosol data assimilation results for the table 2 of acp-2020-825
DOI: 10.6084/m9.figshare.14256284.v1
title: Table 2 data for acp-2020-825

description: Aerosol data assimilation results for the table 2 of acp-2020-825
DOI: 10.21227/44sn-aj88
title: Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity forecasting

description: COVID-19 causes issues in energy demand profile forecasting. Day-ahead energy forecasting systems struggle to provide accurate demand predictions. Decomposition-Residuals Deep Neural Networks (DR-DNN) is a two-layer hybrid architecture with: a decomposition and a nonlinear layer. Based on statistical tests, the decomposition layer applies robust signal decomposition and low-order system identification of input data streams into: trend, seasonal and residuals signals. Utilizing calendar information, temporal signals are added: sinusoidal day/night cycles, weekend/weekday, etc. The nonlinear layer can learn unknown nonlinear patterns using typical DNN models like Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). DR-DNN outperformed baseline, linear, and plain DNN models on next-day electricity forecasts within the COVID-19 era (September 2020-January 2021).
DOI: 10.34740/kaggle/dsv/2044924
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.12851066
title: A novel homozygous disruptive <i>PRF1</i> variant (K285Sfs*4) causes very early-onset of familial hemophagocytic lymphohystiocytosis type 2

description: A novel homozygous disruptive <i>PRF1</i> variant (K285Sfs*4) causes very early-onset of familial hemophagocytic lymphohystiocytosis type 2
DOI: 10.6084/m9.figshare.12851066.v1
title: A novel homozygous disruptive <i>PRF1</i> variant (K285Sfs*4) causes very early-onset of familial hemophagocytic lymphohystiocytosis type 2

description: A novel homozygous disruptive <i>PRF1</i> variant (K285Sfs*4) causes very early-onset of familial hemophagocytic lymphohystiocytosis type 2
DOI: 10.5281/zenodo.4621701
title: Data and analyses for Knight et al. 2021 Ornithological Applications

description: Script, data, and models to run analyses for Knight, E.C., A.C. Smith, R.M. Brigham, and E.M. Bayne. 2021. Combination of targeted monitoring and Breeding Bird Survey data improves population trend estimation and species distribution modeling for the Common Nighthawk <strong>For trend estimation</strong>: the analyses compare trends estimated from simulated data for the Canadian Nightjar Survey (CNS) and the North American Breeding Bird Survey (BBS). The main script file "TrendSimulation.R" inputs the four data files, defines and runs the hierarchical model used to parameterize the simulations, generates the simulated data, simulates the trend estimates, and plots the results. <em>Files for trend estimation are prepended with "Trend_", which will need to be removed prior to running scripts.</em> <strong>For species distribution modelling: </strong>the analyses split data, build SDMs, predict on withheld data, and evaluate model performance for the CNS and BBS. The main script file "HabitatModel.R" runs through three analyses for each of three bird conservation regions (BCRs). The three analyses are similar, with differences in habitat covariates for each BCR. Each analysis requires 3 data files and 3 large raster stacks (for prediction).
DOI: 10.5281/zenodo.4621700
title: Data and analyses for Knight et al. 2021 Ornithological Applications

description: Script, data, and models to run analyses for Knight, E.C., A.C. Smith, R.M. Brigham, and E.M. Bayne. 2021. Combination of targeted monitoring and Breeding Bird Survey data improves population trend estimation and species distribution modeling for the Common Nighthawk <strong>For trend estimation</strong>: the analyses compare trends estimated from simulated data for the Canadian Nightjar Survey (CNS) and the North American Breeding Bird Survey (BBS). The main script file "TrendSimulation.R" inputs the four data files, defines and runs the hierarchical model used to parameterize the simulations, generates the simulated data, simulates the trend estimates, and plots the results. <em>Files for trend estimation are prepended with "Trend_", which will need to be removed prior to running scripts.</em> <strong>For species distribution modelling: </strong>the analyses split data, build SDMs, predict on withheld data, and evaluate model performance for the CNS and BBS. The main script file "HabitatModel.R" runs through three analyses for each of three bird conservation regions (BCRs). The three analyses are similar, with differences in habitat covariates for each BCR. Each analysis requires 3 data files and 3 large raster stacks (for prediction).
DOI: 10.5517/ccdc.csd.cc26j1mf
title: CCDC 2041214: Experimental Crystal Structure Determination

description: Related Article: Kento Iwai, Yoshiyuki Mizuhata, Norihiro Tokitoh|2021|Organometallics|40|570|doi:10.1021/acs.organomet.0c00711
DOI: 10.5517/ccdc.csd.cc26j1ng
title: CCDC 2041215: Experimental Crystal Structure Determination

description: Related Article: Kento Iwai, Yoshiyuki Mizuhata, Norihiro Tokitoh|2021|Organometallics|40|570|doi:10.1021/acs.organomet.0c00711
DOI: 10.5517/ccdc.csd.cc26j1ph
title: CCDC 2041216: Experimental Crystal Structure Determination

description: Related Article: Kento Iwai, Yoshiyuki Mizuhata, Norihiro Tokitoh|2021|Organometallics|40|570|doi:10.1021/acs.organomet.0c00711
DOI: 10.5517/ccdc.csd.cc26j1qj
title: CCDC 2041217: Experimental Crystal Structure Determination

description: Related Article: Kento Iwai, Yoshiyuki Mizuhata, Norihiro Tokitoh|2021|Organometallics|40|570|doi:10.1021/acs.organomet.0c00711
DOI: 10.5517/ccdc.csd.cc26j1ld
title: CCDC 2041213: Experimental Crystal Structure Determination

description: Related Article: Kento Iwai, Yoshiyuki Mizuhata, Norihiro Tokitoh|2021|Organometallics|40|570|doi:10.1021/acs.organomet.0c00711
DOI: 10.34740/kaggle/dsv/2044393
title: Turbulence modelling using machine learning
DOI: 10.5281/zenodo.4625629
title: Data&Scripts of "Behavioral temperature stress compensation in a cold-adapted ungulate: forage-mediated responses to warming Alpine summers"

description: Data and Scripts used to generate the results published in the paper: <em>P. Semenzato, F. Cagnacci, F. Ossi, E. Eccel, M. Hewison, N. Morellet, E. Sturaro, M. Ramanzin, 2021. </em>Behavioral temperature stress compensation in a cold-adapted ungulate: forage-mediated responses to warming Alpine summers <em>Ecology letters</em> Datasets are included as .Rdata files. Scripts are in .R and are organised in annual and daily scales analyses (ref. Fig.1, main text). Scripts were written in R language under the R version 4.0.2 (2020-06-22). When .Rdata are loaded in an R Workspace and .R scripts launced, results appearing in Semenzato et al. can be fully reproduced. A Metadata file, with the description of the variables used, and their name both in Datasets/scripts and main text is also included.
description: Regional Police Corp of Belluno and Forestry Police Corp of the State - Veneto section and Luca Rossi (Department of Veterinary Sciences, Torino University) provided strong logistic support and essential help in capturing ibex and rescuing collars after drop off. We thank also M. Á. Párraga Aguado, and members of the Ramanzin and Cagnacci Labs for help in collar rescuing. M. Á. Párraga Aguado contributed to data collection and management during the early periods of the study. F. Urbano and J. De Groeve provided helpful suggestions on the database structure and data management procedure. Regional Agency for the Environmental Protection – Meteorological Service (Agenzia Regionale Prevenzione Ambientale del Veneto - Dipartimento Regionale Sicurezza del Territorio Servizio Meteorologico, ARPAV) provided the meteorological data. We also thank Paola Mercogliano (Euro-Mediterranean Center on Climate Change, CMCC) for providing the original climate projections, using data supplied by the GEMINA project (funded by the Italian Ministry of Education, University, and Research and by the Italian Ministry of the Environment, Land, and Sea). This project was funded by University of Padova, project n. CPDA094513/09, MIUR ex 60%, projects 60A08-2154/14 and 60A08-2017/15, and co-funded by Veneto region, Wildlife and Hunting Service (Regione Veneto-Unità di Progetto Caccia) and Fondazione Edmund Mach, ordinary funds from Autonomous Province of Trento.