cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6547727
title: Data from: Chromosome-scale assembly with a phased sex-determining region resolves features of early Z and W chromosome differentiation in a wild octoploid strawberry

description: Abstract: When sex chromosomes stop recombining, they start to accumulate differences. The sex-limited chromosome (Y or W) especially is expected to degenerate via the loss of nucleotide sequence and the accumulation of repetitive sequences. However, how early signs of degeneration can be detected in a new sex chromosome is still unclear. The sex determining region (SDR) of the octoploid strawberries is young, small, and dynamic. Using PacBio HiFi reads, we obtained a chromosome scale assembly of a female (ZW) <em>Fragaria chiloensis</em> plant carrying the youngest and largest of the known SDR on the W in strawberries. We fully characterized the previously incomplete SDR, confirming its gene content, genomic location and evolutionary history. Resolution of gaps in the previous characterization of the SDR added 10 kbp of sequence including a non-canonical LTR-retrotransposon; whereas the Z sequence revealed a <em>Harbinger</em> transposable element adjoining the SDR insertion site. Limited genetic differentiation of the sex chromosomes coupled with structural variation may indicate an early stage of W degeneration. The sex chromosomes have a similar percentage of repeats but differ in their repeat distribution. Differences in the pattern of repeats (transposable element polymorphism) apparently precede sex chromosome differentiation, thus potentially contributing to recombination cessation as opposed to being a consequence of it. Repository content: data (sequence alignments, phylogenetic trees, genome assembly, and vcf files) and scripts associated with the manuscript "Chromosome-scale assembly with a phased sex-determining region resolves features of early Z and W chromosome differentiation in a wild octoploid strawberry"
description: Funding provided by the US National Science Foundation (DEB 1912203 and DEB 1912180)
DOI: 10.48567/5hsc-q512
title: Schwerdtfeger Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/zy3b-za65
title: Siple Dome Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/dhyy-nq74
title: Sky Blu Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/kmt9-3b59
title: Theresa Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/1h82-8k51
title: Thurston Island Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/g7jf-q282
title: Tom Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/tse7-xz41
title: Vito Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/wxyh-4263
title: White Island Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/9abv-pn31
title: Whitlock Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/4gdq-4h61
title: Willie Field Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.48567/gjqv-2z42
title: Windless Bight Automatic Weather Station, 2013 unmodified ten-minute observational data.
DOI: 10.5281/zenodo.6585284
title: Opportunities and Security Risks of Technical Leverage: A Replication Study on the NPM Ecosystem

description: Metadata, technical leverage, and vulnerability reports for 14,042 stable releases and scripts used in "Opportunities and Security Risks of Technical Leverage: A Replication Study on the NPM Ecosystem" paper.
DOI: 10.5281/zenodo.6402981
title: Opportunities and Security Risks of Technical Leverage: A Replication Study on the NPM Ecosystem

description: Metadata, technical leverage, and vulnerability reports for 14,042 stable releases and scripts used in "Opportunities and Security Risks of Technical Leverage: A Replication Study on the NPM Ecosystem" paper.
DOI: 10.5281/zenodo.6320880
title: Long-term simulation of snow cover and its potential impacts on seasonal frost dynamics in croplands across southern Canada

description: <em>In northern climes, accurate simulation of thermal and hydrological budgets for farmlands during overwintering conditions is crucial to both an accurate prediction of spring flooding and the successful management of nutrient losses. As snow cover influences soil freezing dynamics, it has been hypothesized that reduced snow cover due to warmer winters might increase the depth and duration of frozen soil conditions. Nonetheless, such impacts remain poorly understood and, given the difficulty in measuring the depth of frozen soil, no long-term field experiment has documented these potential effects. The present study was designed to test this hypothesis. Drawing upon observed snow depth and soil temperature data collected from six research farms across Southern Canada over various time spans from 1989 to 2020, the Root Zone Water Quality Model, integrated with the Simultaneous Heat and Water model, was calibrated and validated. The potential influence of warmer winter on shifts in soil frost dynamics was evaluated by estimating the depth and duration of frozen soil for each farmland site under various RCP temperature scenarios using the RZ-SHAW model. Soil frozen depth in Eastern site increased with the increase of RCP temperature scenarios in some years, but decreased under the highest RCP temperature scenario. The monthly relationship between snow depth and soil frozen depth was determined through partial correlation analysis. Snow was most effective in alleviating soil freezing in the months of January and February, a period when snow cover depth was least affected by warming air temperatures. This paper suggests that Global warming induced-snow cover reduction would be site-specific and is </em>more likely to occur in <em>regions where energy lost through reduced snow cover would outweigh the energy gained through warmer air temperature.</em>
description: Simulation_output: Original simulated output from RZ-SHAW
DOI: 10.5281/zenodo.6320879
title: Long-term simulation of snow cover and its potential impacts on seasonal frost dynamics in croplands across southern Canada

description: <em>In northern climes, accurate simulation of thermal and hydrological budgets for farmlands during overwintering conditions is crucial to both an accurate prediction of spring flooding and the successful management of nutrient losses. As snow cover influences soil freezing dynamics, it has been hypothesized that reduced snow cover due to warmer winters might increase the depth and duration of frozen soil conditions. Nonetheless, such impacts remain poorly understood and, given the difficulty in measuring the depth of frozen soil, no long-term field experiment has documented these potential effects. The present study was designed to test this hypothesis. Drawing upon observed snow depth and soil temperature data collected from six research farms across Southern Canada over various time spans from 1989 to 2020, the Root Zone Water Quality Model, integrated with the Simultaneous Heat and Water model, was calibrated and validated. The potential influence of warmer winter on shifts in soil frost dynamics was evaluated by estimating the depth and duration of frozen soil for each farmland site under various RCP temperature scenarios using the RZ-SHAW model. Soil frozen depth in Eastern site increased with the increase of RCP temperature scenarios in some years, but decreased under the highest RCP temperature scenario. The monthly relationship between snow depth and soil frozen depth was determined through partial correlation analysis. Snow was most effective in alleviating soil freezing in the months of January and February, a period when snow cover depth was least affected by warming air temperatures. This paper suggests that Global warming induced-snow cover reduction would be site-specific and is </em>more likely to occur in <em>regions where energy lost through reduced snow cover would outweigh the energy gained through warmer air temperature.</em>
description: Simulation_output: Original simulated output from RZ-SHAW
DOI: 10.3886/e113055v1-119200
title: Replication data for: No Price Like Home: Global House Prices, 1870-2012

description: How have house prices evolved over the long run? This paper presents annual house prices for 14 advanced economies since 1870. We show that real house prices stayed constant from the nineteenth to the mid-twentieth century, but rose strongly and with substantial cross-country variation in the second half of the twentieth century. Land prices, not replacement costs, are the key to understanding the trajectory of house prices. Rising land prices explain about 80 percent of the global house price boom that has taken place since World War II. Our findings have implications for the evolution of wealth-to-income ratios, the growth effects of agglomeration, and the price elasticity of housing supply.
DOI: 10.3886/e111663v1-119201
title: Supporting You in Supporting Youth: National Online Survey for Transition Service Providers

description: The Supporting You in Supporting Youth (SYSY) survey was developed in collaborationwith Youth MOVE National to answer the research question, "What are the trainingneeds and preferences of service providers who serve young people with mental healthdifficulties?“ The survey was also used to explore preferred training modalities, tounderstand the major barriers to participating in training, and to gain findings to guidedevelopment of training resources to improve supports to young people. It includes 22items that are demographic questions and quantitative rating scales to collect serviceproviders’ views on (a) the importance of and their personal need for, training inspecific competencies and skills; (b) barriers to their accessing training; and, (c) theirpreferences for specific training modalities. The survey was implemented as a cross-sectional online survey conducted from June 23-July 24, 2017.
description: Response Rates: 100%
description: Convenience sampling. <br><br>See publication for full sampling description.:<br>Jivanjee, P., Grover, L., Thorp, K., Masselli, B., Bergan, J., &amp; Brennan, E. M. (2019).Training needs of peer and non-peer transition service providers: Results of a nationalsurvey. Journal of Behavioral Health Services & Research. Available online: https://doi-org.proxy.lib.pdx.edu/10.1007/s11414-019-09667-3
description: Service providers who serve young people with mental healthdifficulties. Smallest Geographic Unit: State
description: web-based survey;
DOI: 10.6084/m9.figshare.3761562.v2230
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25625/8pfvps/swdjqc
title: B04_Fineroot_morphology_chemistry_raw_data.tab

description: Fine root morphological and functional variables in three soil depths (0-10, 10-30, 30-50 cm) across tropical land-use systems namely natural forest, jungle rubber, rubber monocultures, and oil palm plantations from 32 plots. The file contains the raw data of all the 32 plots.
DOI: 10.25625/8pfvps/4ydsp4
title: B04_fineroot_morphology_chemistry_raw_data.tab

description: Fine root morphological and functional variables in three soil depths (0-10, 10-30, 30-50 cm) across tropical land-use systems namely natural forest, jungle rubber, rubber monocultures, and oil palm plantations from 32 plots. The file contains the raw data of all the 32 plots.
DOI: 10.25625/8pfvps/zbrhd1
title: B04_fineroot_morphology_chemistry_raw_data.tab

description: Fine root morphological and functional variables in three soil depths (0-10, 10-30, 30-50 cm) across tropical land-use systems namely natural forest, jungle rubber, rubber monocultures, and oil palm plantations from 32 plots. The file contains the raw data of all the 32 plots.
DOI: 10.25625/8pfvps/7lyhwb
title: B04_fineroot_morphology_chemistry_raw_data_1-1.tab

description: :unav
DOI: 10.25625/8pfvps/50jo5j
title: B04_fineroot_morphology_chemistry_raw_data.tab

description: The file contains the raw data of all the 32 plots. Including two different methods -"fine root inventory" & "sequential coring"
DOI: 10.25625/8pfvps
title: B04_Fineroot morphology_chemistry_raw_data

description: Fine root morphological and functional variables in three soil depths (0-10, 10-30, 30-50 cm) across tropical land-use systems namely natural forest, jungle rubber, rubber monocultures, and oil palm plantations from 32 plots. The file contains the raw data of all the 32 plots.
DOI: 10.25452/figshare.plus.19653321
title: Video footage of fish and water quality variables in a fish farming scenario

description: This dataset contains measurements of water quality parameters along with behavior-related variables obtained from fish recognition and localization using machine learning techniques on video footage. The water quality data were collected using a Hanna HI98194 multiparameter probe, while the video footage was taken with a webcam connected to a Raspberry Pi 4. A total of 247 uniformly distributed frames from the video footage were manually annotated to train a YOLOv4 model for fish recognition and tracking. Using the trained model, the complete video footage was processed and the time series of fish pairwise distance and average traveled distance were calculated from the recognition model. This dataset can potentially be used to study fish behavior-related and water quality variables and their relationship in fish farming scenarios. Dataset files: <strong>training_data.zip: </strong>247 uniformly distributed frames from the entirety of the video footage were annotated for model training and can be found here in various formats including YOLO. <strong>waterquality_data.zip: </strong>includes 55 hours and 28 minutes of data from physico-chemical variables collected from a water tank with a Hanna HI98194 probe. The collected parameters were temperature, dissolved oxygen, electrical conductivity, resistivity, total dissolved solids and pH. <strong>behavioral_data.zip:</strong> contains the processed variables obtained from the video footage using the trained machine learning model. <strong>weights.zip: t</strong>he weights used for the YOLOv4 model can be found here. <strong>video_xx.zip: </strong>contains 51 hours and 40 minutes of one-minute recordings of the fish tank. Split into 26 two hour sections for download. Useful to extract behavior-related variables. <br> Version history: v1: Initial release. v2: Changed the format for waterquality_data and behavioral_data to fix an error where the timestamp seconds were lost and replaced with 0 when saving and reopening the files.
DOI: 10.25452/figshare.plus.19653321.v1
title: Video footage of fish and water quality variables in a fish farming scenario

description: This dataset contains measurements of water quality parameters along with behavior-related variables obtained from fish recognition and localization using machine learning techniques on video footage. The water quality data were collected using a Hanna HI98194 multiparameter probe, while the video footage was taken with a webcam connected to a Raspberry Pi 4. A total of 247 uniformly distributed frames from the video footage were manually annotated to train a YOLOv4 model for fish recognition and tracking. Using the trained model, the complete video footage was processed and the time series of fish pairwise distance and average traveled distance were calculated from the recognition model. This dataset can potentially be used to study fish behavior-related and water quality variables and their relationship in fish farming scenarios. <br> Dataset files: <br> <strong>training_data.zip: </strong>247 uniformly distributed frames from the entirety of the video footage were annotated for model training and can be found here in various formats including YOLO. <strong>waterquality_data.zip: </strong>includes 55 hours and 28 minutes of data from physico-chemical variables collected from a water tank with a Hanna HI98194 probe. The collected parameters were temperature, dissolved oxygen, electrical conductivity, resistivity, total dissolved solids and pH. <strong>behavioral_data.zip:</strong> contains the processed variables obtained from the video footage using the trained machine learning model. <strong>weights.zip: t</strong>he weights used for the YOLOv4 model can be found here. <strong>video_xx.zip: </strong>contains 51 hours and 40 minutes of one-minute recordings of the fish tank. Split into 26 two hour sections for download. Useful to extract behavior-related variables.
DOI: 10.25790/bml0cm.104
title: ADSv1.zip
DOI: 10.21429/11ve-8h09
title: Soil Moisture Data for the Red River and Rio Grande Basins from 2015-2019

description: Modeled soil moisture raster maps (4km-pixels) displaying volumetric water content (VWC) and fraction of available water (FAW) in 10-cm depth increments for the 2015-2019 period for the Red River and Rio Grande basins.
DOI: 10.5066/f7v122xd
title: Shakemap earthquake scenario: Building Seismic Safety Council 2014 Event Set (BSSC2014)

description: This is a catalog of earthquake scenarios, represented as ShakeMaps. A ShakeMap is a USGS product that facilitates communication of earthquake effects by portraying a map of the severity of shaking. Maps of shaking severity are provided in terms of macroseismic intensity, peak ground acceleration, peak ground velocity, and spectral accelerations (at 0.3, 1.0 and 3 sec oscillator periods).
DOI: 10.5281/zenodo.6585390
title: Farmers' preference of Indigenous legume fodder trees and shrubs in semi humid condition of southern Ethiopia

description: the study was conducted to asses the farmers feed value preferance of the indigenous legume fodder tree and shrub species. 21 ILFTS species were identified the farmers preferance score was assesed for all the species. focus group discussion was held to determine the parameters for the preferance score. accordingly five parameters namely feed value, growth rate, biomass yield, compatability and multifuctionality were identified the parameters for prefrance scoring.
DOI: 10.5281/zenodo.6585389
title: Farmers' preference of Indigenous legume fodder trees and shrubs in semi humid condition of southern Ethiopia

description: the study was conducted to asses the farmers feed value preferance of the indigenous legume fodder tree and shrub species. 21 ILFTS species were identified the farmers preferance score was assesed for all the species. focus group discussion was held to determine the parameters for the preferance score. accordingly five parameters namely feed value, growth rate, biomass yield, compatability and multifuctionality were identified the parameters for prefrance scoring.
DOI: 10.6084/m9.figshare.19895962
title: Genomic data for Ministeria vibrans, Parvularia atlantis, Pigoraptor vietnamica and Pigoraptor chileana

description: This repository includes the metagenome assemblies for the eukaryotic species <em>Ministeria vibrans</em>, <em>Parvularia atlantis</em>, <em>Pigoraptor vietnamica</em> and <em>Pigoraptor chileana</em>. Both the draft and the decontaminated assemblies are included for each species, as well as the corresponding genome annotations for the decontaminated assemblies and the associated protein sequence predictions. As shown in 'methodology.pdf', the draft assemblies were submitted to a comprehensive decontamination pipeline, and hence no contamination is expected neither in the decontaminated assemblies, nor in the corresponding annotations and protein sequence predictions. See the 'README.docx' within each folder for information about the distinct files included within the folder. The raw sequencing data are available at the European Nucleotide Archive (ENA, accession code PRJEB52884).
DOI: 10.6084/m9.figshare.19896418
title: Dr Boluwaji Jaiyesimi COVID 19 Questionnaire (Responses) July 14th.xlsx

description: <strong>The Nigerian youth and their positive attitude towards the national drive against the spread of COVID-19</strong>
DOI: 10.6084/m9.figshare.19896418.v1
title: Dr Boluwaji Jaiyesimi COVID 19 Questionnaire (Responses) July 14th.xlsx

description: <strong>The Nigerian youth and their positive attitude towards the national drive against the spread of COVID-19</strong>
DOI: 10.5517/ccdc.csd.cc276w9n
title: CCDC 2062191: Experimental Crystal Structure Determination

description: Related Article: Kai Zhang, Shao-Wu Du|2021|Dalton Trans.|50|6181|doi:10.1039/D1DT00556A
DOI: 10.5517/ccdc.csd.cc276wbp
title: CCDC 2062192: Experimental Crystal Structure Determination

description: Related Article: Kai Zhang, Shao-Wu Du|2021|Dalton Trans.|50|6181|doi:10.1039/D1DT00556A
DOI: 10.5517/ccdc.csd.cc276wcq
title: CCDC 2062193: Experimental Crystal Structure Determination

description: Related Article: Kai Zhang, Shao-Wu Du|2021|Dalton Trans.|50|6181|doi:10.1039/D1DT00556A
DOI: 10.5517/ccdc.csd.cc276w6k
title: CCDC 2062188: Experimental Crystal Structure Determination

description: Related Article: Kai Zhang, Shao-Wu Du|2021|Dalton Trans.|50|6181|doi:10.1039/D1DT00556A
DOI: 10.5281/zenodo.6585430
title: Strain specific genome scale metabolic models for 1011 Saccharomyces cerevisiae

description: This is generated strain-specific genome scale metabolic models for 1011 S.cerevisiae. This is linked with the paper: Lu, H. et al. <em>A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.</em> Nature Communications 10, 3586 (2019). doi:10.1038/s41467-019-11581-3
DOI: 10.5281/zenodo.6585429
title: Strain specific genome scale metabolic models for 1011 Saccharomyces cerevisiae

description: This is generated strain-specific genome scale metabolic models for 1011 S.cerevisiae. This is linked with the paper: Lu, H. et al. <em>A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.</em> Nature Communications 10, 3586 (2019). doi:10.1038/s41467-019-11581-3
DOI: 10.5281/zenodo.6585265
title: Agapornis roseicollis decontaminated gx

description: .
DOI: 10.5281/zenodo.6585264
title: Agapornis roseicollis decontaminated gx

description: .
DOI: 10.5281/zenodo.6585439
title: Strain specific Genome scale metabolic models for 1011 Saccharomyces cerevisiae

description: This is generated strain specific genome scale metabolic models for 1011 S. cerevisiae strains. This is linked with paper: Lu, H. et al. <em>A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.</em> Nature Communications 10, 3586 (2019). doi:10.1038/s41467-019-11581-3
DOI: 10.5281/zenodo.6585438
title: Strain specific Genome scale metabolic models for 1011 Saccharomyces cerevisiae

description: This is generated strain specific genome scale metabolic models for 1011 S. cerevisiae strains. This is linked with paper: Lu, H. et al. <em>A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.</em> Nature Communications 10, 3586 (2019). doi:10.1038/s41467-019-11581-3
DOI: 10.5281/zenodo.6585441
title: Aquatic Invertebrate Data

description: These data were collected in association with a rotenone treatment of Kings and Anderson Lakes in Southcentral Alaska to remove a population of invasive northern pike. The treatment occurred October 2020. Samples were collected pre-treatment in August 2020, and post-treatment in August 2021.
DOI: 10.5281/zenodo.6585440
title: Aquatic Invertebrate Data

description: These data were collected in association with a rotenone treatment of Kings and Anderson Lakes in Southcentral Alaska to remove a population of invasive northern pike. The treatment occurred October 2020. Samples were collected pre-treatment in August 2020, and post-treatment in August 2021.