cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/7tz3-9m33
title: Parkes observations for project P1058 semester 2020OCTS_04

description: We propose to continue the timing campaign of the new millisecond pulsar, J1431-6328, discovered by the Australian SKA Pathfinder (ASKAP). PSR J1431-6328 has a spin period of 2.77 ms and is in a very wide binary system with an orbital period of 88 days. The relatively low mass of the companion and the long orbital period make this binary system extremely interesting for the understanding of binary evolution. The stable profile and wide orbit of J1431-6328 also makes it a good candidate for pulsar timing arrays and tests of the strong equivalence principle. By the end of this semester, we plan to summarise the timing campaign with a paper and publish the timing solution, wide band polarisation properties of this pulsar and studies of the binary system.
DOI: 10.25919/vraa-6112
title: Parkes observations for project P1079 semester 2020OCTS_01

description: Pulsars in compact binary systems are unique laboratories to probe gravitational theories, measure pulsar masses and study the formation and evolution of binary systems. However, such binary systems are difficult to find because of their orbital modulation. New surveys at both radio and optical wavelengths open up new opportunities to search for pulsars in compact binaries with novel methods. In this proposal, we combined radio continuum surveys with the Gaia DR2 catalogue, and identified a sample of pulsar candidates based on their optical-radio association, large transverse velocities and steep spectra. We propose to search for their periodic singles with Parkes UWL receiver. Thanks to the superior performance of UWL below 1GHz, we will be able to detect their periodic signals with relatively short integration and avoid the effect of potential strong orbital modulation.
DOI: 10.6084/m9.figshare.14043716
title: HIIT_supplemental_e1_table.docx

description: Supplemental data table of raw data from both HIIT protocols.
DOI: 10.6084/m9.figshare.14043716.v1
title: HIIT_supplemental_e1_table.docx

description: Supplemental data table of raw data from both HIIT protocols.
DOI: 10.25345/c5br4q
title: MassIVE MSV000086889 - Fecul Cultures with Microbially Conjugated Bile Acids
title: A collection of cultured fecal samples exposed to microbialy conjugated bile acids and bile acid controls.
DOI: 10.6084/m9.figshare.14038589
title: Data set for OA2443 (final version)

description: The quantitative data used in this study, Google Forms format used in PIF-SRL, and items used used in the questionnaire and the interview form for PIF-SRL participants are available at this link.
DOI: 10.6084/m9.figshare.14038589.v1
title: Data set for OA2443 (final version)

description: The quantitative data used in this study, Google Forms format used in PIF-SRL, and items used used in the questionnaire and the interview form for PIF-SRL participants are available at this link.
DOI: 10.6084/m9.figshare.14043761
title: vpic3_nu_deck.zip

description: There is a description.txt in the folder. Besides, the simulation uses VPIC code, which is available here:<br>https://github.com/lanl/vpic<br><br>For more details, please refer to the example: https://github.com/lanl/vpic/tree/master/sample/reconnection/open-collisional/head<br>
DOI: 10.6084/m9.figshare.14043761.v1
title: vpic3_nu_deck.zip

description: There is a description.txt in the folder. Besides, the simulation uses VPIC code, which is available here:<br>https://github.com/lanl/vpic<br><br>For more details, please refer to the example: https://github.com/lanl/vpic/tree/master/sample/reconnection/open-collisional/head<br>
DOI: 10.6084/m9.figshare.14043776
title: Data for the manuscript: Non-overlapping climatic niches and biogeographic barriers explain disjunct distributions of continental Urania moths

description: Species occurrences and variables used for the analyzis in the manuscript "Non-overlapping climatic niches and biogeographic barriers explain disjunct distributions of continental Urania moths"
DOI: 10.6084/m9.figshare.13837499.v1
title: Fine Temporal Resolution Data of Suspended Fines (&lt; 62 µm) and Sand (0.062-2.0 mm) in Small Watersheds

description: The repository contains streamflow and suspended sediment concentration (SSC) measurements and the generated fine temporal resolution (15-min) timeseries for the period 1982-2002 at 12 stations in the Goodwin Creek, Mississippi, USA.<br>Description of dataset files can be found in ReadMe.txt file.More information about the measurements and methods used for generating the time series is available in:<br><br>Al-Ghorani, N., Hassan, M. A., & Langendoen, E. J. (2021). Spatiotemporal Patterns of Fractional Suspended Sediment Dynamics in Small Watersheds. In preparation.<br>
DOI: 10.25345/c5721r
title: MassIVE MSV000086890 - high fiber diet mice methanol extracts
title: comparison between high fiber diet and ctrl mice methanol extraction, q exactive hf, 28 min method
DOI: 10.5281/zenodo.4538911
title: Data For "Finding Druggable Sites in Proteins using TACTICS"

description: This upload contains data for the TACTICS paper. tactics_output.zip contains the output obtained by running the TACTICS binding-site finding algorithm on three protein systems: the aryl carrier protein (ArCP), the SARS-CoV-2 main protease (M-pro or 3CLpro), and the SARS-CoV-2 2'-O RNA methyltransferase (MTase). MTase.tar.gz contains MD simulation data for the SARS-CoV-2 nsp10/nsp16 dimer (methyltransferase). M-pro.tar.gz contains MD simulation data for the SARS-CoV-2 main protease. ArCP.tar.gz contains MD simulation data for the yersinia pestis aryl carrier protein in apo, holo, and loaded forms
DOI: 10.5281/zenodo.4538910
title: Data For "Finding Druggable Sites in Proteins using TACTICS"

description: This upload contains data for the TACTICS paper. tactics_output.zip contains the output obtained by running the TACTICS binding-site finding algorithm on three protein systems: the aryl carrier protein (ArCP), the SARS-CoV-2 main protease (M-pro or 3CLpro), and the SARS-CoV-2 2'-O RNA methyltransferase (MTase). MTase.tar.gz contains MD simulation data for the SARS-CoV-2 nsp10/nsp16 dimer (methyltransferase). M-pro.tar.gz contains MD simulation data for the SARS-CoV-2 main protease. ArCP.tar.gz contains MD simulation data for the yersinia pestis aryl carrier protein in apo, holo, and loaded forms
DOI: 10.6084/m9.figshare.14043797
title: Having difficulties reading the facial expression of older individuals? Blame it on the facial muscles, not the wrinkles.

description: <b>Abstract: <br></b><b><br></b>Previous studies have found that it is more difficult to identify an emotional facial expression displayed by an older than a younger face. It is unknown whether this is caused by age-related changes such as wrinkles and folds interfering with perception, or by the aging of facial muscle, potentially reducing the ability of older individuals to display an interpretable expression. To discriminate between these two possibilities, we conducted a psychophysics experiment where participants attempted to identify emotional facial expression under different conditions. To control for the variables (wrinkles/folds vs facial muscles, we made use of Generative Adversarial Networks (GAN) to make images of faces look older or younger. As expected, emotions expressed by older faces (Condition 2) were harder to identify than those expressed by younger faces (Condition 1). Interestingly, participants' accuracy in identifying emotions was not affected when the "young faces" (Condition 1) were artificially aged (Condition 3). On the other hand, using a reverse aging filter to make the older faces (Condition 2) look young (Condition 4) significantly reduced the ability of our participants to identify the correct emotional expression. Taken together, these results suggest that an age-related decline in ability to produce recognizable facial expressions, rather than the age-related physical changes in the face such as folds and wrinkles, explain why it is more difficult to recognize facial expressions from older faces. Consequently, facial muscle exercises might improve the capacity to convey facial emotional expressions in the elderly.<br><br><b>To promote transparency and repeatability</b> of our manuscript, "<i>Having difficulties reading the facial expression of older individuals? Blame it on the facial muscles, not the wrinkles.</i>" currently under review for publications in Frontiers Psychology, we make the following files available: "facedata.xlsx", which contains the raw data collected for our study (400 trials x 28 participants = 11,200 trials) and an expanded table based upon the hierarchical logistic regression analysis (a more limited version will be available in the published manuscript).<br>For questions about the raw data or table, please contact Nicolas Brunet at brunenm@millsaps.edu<br><br><br><br>
DOI: 10.6084/m9.figshare.14043797.v1
title: Having difficulties reading the facial expression of older individuals? Blame it on the facial muscles, not the wrinkles.

description: <b>Abstract: <br></b><b><br></b>Previous studies have found that it is more difficult to identify an emotional facial expression displayed by an older than a younger face. It is unknown whether this is caused by age-related changes such as wrinkles and folds interfering with perception, or by the aging of facial muscle, potentially reducing the ability of older individuals to display an interpretable expression. To discriminate between these two possibilities, we conducted a psychophysics experiment where participants attempted to identify emotional facial expression under different conditions. To control for the variables (wrinkles/folds vs facial muscles, we made use of Generative Adversarial Networks (GAN) to make images of faces look older or younger. As expected, emotions expressed by older faces (Condition 2) were harder to identify than those expressed by younger faces (Condition 1). Interestingly, participants' accuracy in identifying emotions was not affected when the "young faces" (Condition 1) were artificially aged (Condition 3). On the other hand, using a reverse aging filter to make the older faces (Condition 2) look young (Condition 4) significantly reduced the ability of our participants to identify the correct emotional expression. Taken together, these results suggest that an age-related decline in ability to produce recognizable facial expressions, rather than the age-related physical changes in the face such as folds and wrinkles, explain why it is more difficult to recognize facial expressions from older faces. Consequently, facial muscle exercises might improve the capacity to convey facial emotional expressions in the elderly.<br><br><b>To promote transparency and repeatability</b> of our manuscript, "<i>Having difficulties reading the facial expression of older individuals? Blame it on the facial muscles, not the wrinkles.</i>" currently under review for publications in Frontiers Psychology, we make the following files available: "facedata.xlsx", which contains the raw data collected for our study (400 trials x 28 participants = 11,200 trials) and an expanded table based upon the hierarchical logistic regression analysis (a more limited version will be available in the published manuscript).<br>For questions about the raw data or table, please contact Nicolas Brunet at brunenm@millsaps.edu<br><br><br><br>
DOI: 10.6084/m9.figshare.3761562.v1777
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: 10.5517/ccdc.csd.cc25qnl5
title: CCDC 2017777: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnm6
title: CCDC 2017778: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnn7
title: CCDC 2017779: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnp8
title: CCDC 2017780: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnq9
title: CCDC 2017781: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnrb
title: CCDC 2017782: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnsc
title: CCDC 2017783: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qntd
title: CCDC 2017784: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnvf
title: CCDC 2017785: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25qnwg
title: CCDC 2017786: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Pournara, Sofia Rapti, Alexandros Valmas, Irene Margiolaki, Euaggelos Andreou, Gerasimos S. Armatas, Athanassios C. Tsipis, John C. Plakatouras, Dimosthenis L. Giokas, Manolis J. Manos|2021|J.Mater.Chem.A|9|3379|doi:10.1039/D0TA11653J
DOI: 10.5517/ccdc.csd.cc25y69n
title: CCDC 2024061: Experimental Crystal Structure Determination

description: Related Article: Shuang Gai, Ruiqing Fan, Jian Zhang, Xuesong Zhou, Kai Xing, Ke Zhu, Wenwen Jia, Wenbo Sui, Ping Wang, Yulin Yang|2021|J.Mater.Chem.A|9|3369|doi:10.1039/D0TA09624E
DOI: 10.17608/k6.auckland.13888811.v1
title: 1002 Yeast Genome Dataset ploidy information

description: The ploidy information for 789 isolates from 1002 Yeast genome dataset
DOI: 10.17608/k6.auckland.13888811
title: 1002 Yeast Genome Dataset ploidy information

description: The ploidy information for 789 isolates from 1002 Yeast genome dataset
DOI: 10.5066/f72v2f2w
title: Potential movement paths for male grizzly bear (Ursus arctos) dispersal between the Northern Continental Divide and Greater Yellowstone Ecosystems, 2000-2015

description: For several decades, grizzly bear (Ursus arctos) populations in the Greater Yellowstone Ecosystem (GYE) and the Northern Continental Divide Ecosystem (NCDE) have increased in numbers and range extent. Whereas the NCDE population is contiguous with grizzly bear populations in the Canadian Rocky Mountains, genetic evidence suggests the GYE population remains isolated. Recent analyses indicate the effective population size of GYE grizzly bears has increased and is approaching levels needed for long-term viability. With only ~110 km distance separating current estimates of occupied range for these populations, the potential for immigration into the GYE from an NCDE migrant, or vice versa, is likely greater now than it has been for many decades. Therefore, we sought to delineate potential movement paths providing connectivity for male-mediated gene flow between the two populations. Using GPS locations for 124 male grizzly bears monitored during 199 bear-years, and covariates describing ecological, physical, and anthropogenic features of the landscape, we first developed step-selection functions to generate conductance layers of bear movements for each ecosystem. We then used randomized shortest path (RSP) algorithms to estimate the average number of net passages for all grid cells in the study region, when moving from an origin to a destination node. Given the conductance layer, movement paths follow certain grid cell sequences more than others and resulting RSP values thus provide a measure of movement potential. Repeating this process for 100 pairs of random origin and destination nodes, we identified movement paths for 3 levels of random deviation (&#920;) from the least-cost path. We observed broad-scale concordance between model predictions for paths originating in the NCDE and those originating in the GYE for all 3 levels of movement exploration. Our model predictions indicate that grizzly bear movement between the ecosystems could involve a variety of routes, and verified observations of grizzly bears outside occupied range support this finding.
DOI: 10.17608/k6.auckland.13838144
title: set 2 - 500 random draws for comaprison with Suillus Brevipes

description: set 2 - 500 draws
DOI: 10.5066/f79885zt
title: Multi-century reconstructions of temperature, precipitation, and runoff efficiency for the Upper Colorado River Basin

description: With increasing concerns about the impact of warming temperatures on water resources, more attention is being paid the relationship between runoff and precipitation, or runoff efficiency. Temperature is a key influence on Colorado River runoff efficiency, and warming temperatures are projected to reduce runoff efficiency. Here, we investigate the nature of runoff efficiency in the upper Colorado River (UCRB) basin over the past 400 years, with a specific focus on major droughts and pluvials, and to contextualize the instrumental period. We first verify the feasibility of reconstructing runoff efficiency from tree-ring data. The reconstruction is then used to evaluate variability in runoff efficiency over periods of high and low flow, and its correspondence to a reconstruction of late runoff season UCRB temperature variability. Results indicate that runoff efficiency has played a consistent role in modulating the relationship between precipitation and streamflow over past centuries, and that temperature has likely been the key control. While negative runoff efficiency is most common during dry periods, and positive runoff efficiency during wet years, there are some instances of positive runoff efficiency moderating the impact of precipitation deficits on streamflow. Compared to past centuries, the 20th century has experienced twice as many high flow years with negative runoff efficiency, likely due to warm temperatures. These results suggest warming temperatures will continue to impact runoff efficiency in wet or dry years, and that future flows will be less than anticipated from precipitation due to warming temperatures.
DOI: 10.5066/f7c53jdw
title: Conventional and quantitative PCR assays for detecting Tetracapsuloides bryosalmonae in fish tissue and environmental DNA water samples

description: We developed and validated conventional and quantitative real-time PCR assays for the detection of DNA from the myxozoan parasite Tetracapsuloides bryosalmonae, the causative agent of proliferative kidney disease in fish. Assays were tested on fish tissue and on field-collected water samples to assess diagnostic and environmental DNA capabilities. The specificity, sensitivity, and broad applicability of the present assays surpass previous methods for detecting T. bryosalmonae DNA from fish tissue and water samples.
DOI: 10.5066/f7ff3rnw
title: Elk GPS collar data from National Elk Refuge (2006-2015)

description: 17 adult female elk were captured on or around the National Elk Refuge and monitored with GPS collars from 2006 to 2015. Each of these elk were monitored for 1 to 2 years and migrated from the National Elk Refuge to Yellowstone National Park during the spring. Here we provide the unique identifier for each individual elk, the date/time stamp of each GPS location, the GPS location of the elk in UTMs and Lat-Long, the month of each GPS location, the year of each GPS location, and the date of each GPS location in numeric form.
DOI: 10.5066/f7j38rhg
title: Yellowstone Cutthroat Trout and Brown Trout capture-recapture and diet data from Duck Creek, MT in summer and fall (2013-2016)

description: We collected lengths and weights and diets of Yellowstone cutthroat trout (Oncorhynchus clarkii bouvieri) and brown trout (Salmo trutta) above (Yellowstone cutthroat trout allopatry) and below (Yellowstone cutthroat trout sympatry with brown trout) a natural barrier in Duck Creek, Montana.
DOI: 10.5066/f7js9pr2
title: Environmental DNA detection data of Northern pike (Esox lucius) using a portable, field-based platform and a lab-based platform

description: We used a portable, field-based approach (hereafter referred to as Biomeme approach) and a standard lab-based approach (hereafter referred to as lab approach) to analyze field water samples for northern pike ((Esox lucius) DNA. The Biomeme approach included a field-capable DNA extraction, a shelf-stable assay, and a portable real-time PCR thermocycler. The lab approach included lab-based DNA extraction, a lab-bound assay, and a benchtop real-time PCR thermocycler. Here, we provide raw data (detect, no detect) for each approach.
DOI: 10.17608/k6.auckland.13837808
title: Median coverage rDNA copy number calculation using 20-copy strain

description: rDNA copy number calculated using median coverage for 20-copy yeast strain
DOI: 10.17608/k6.auckland.13837808.v1
title: Median coverage rDNA copy number calculation using 20-copy strain

description: rDNA copy number calculated using median coverage for 20-copy yeast strain
DOI: 10.17608/k6.auckland.13830701
title: rDNA copy number estimations using rRNA coding region only using a 20-copy S. cerevisiae strain at different coverage levels

description: rDNA copy number estimates using only the rRNA coding region using modal coverage pipeline. The estimates has been done using a 20-copy yeast strain at different coverage levels (4X-12X) and different sliding window sizes (100, 200, 500, and 1000bp)
DOI: 10.17608/k6.auckland.13830701.v1
title: rDNA copy number estimations using rRNA coding region only using a 20-copy S. cerevisiae strain at different coverage levels

description: rDNA copy number estimates using only the rRNA coding region using modal coverage pipeline. The estimates has been done using a 20-copy yeast strain at different coverage levels (4X-12X) and different sliding window sizes (100, 200, 500, and 1000bp)