cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5747774
title: Analyses of human cancer driver genes uncovers evolutionarily conserved RNA structural elements involved in posttranscriptional control - associated datasets

description: These datasets include raw data output and associated files from ScanFold and CMbuilder analyses of human cancer driver gene mRNA. ScanFold was used to predict RNA regions of unusual thermodynamic stability, and CMbuilder was used to evaluate covariation of the predicted structures in those regions. Please view the file <em>README_general_description_Zenodo_files.txt</em> for brief descriptions of the content. These data are associated with the manuscript entitled <em>Analyses of human cancer driver genes uncovers evolutionarily conserved RNA structural elements involved in posttranscriptional control</em>. The manuscript has currently been submitted for review in PLOS ONE.
description: Thank you to NIH-NIGMS R01GM133810 for funding.
DOI: 10.5281/zenodo.5422338
title: Analyses of human cancer driver genes uncovers evolutionarily conserved RNA structural elements involved in posttranscriptional control - associated datasets

description: These datasets include raw data output and associated files from ScanFold and CMbuilder analyses of human cancer driver gene mRNA. ScanFold was used to predict RNA regions of unusual thermodynamic stability, and CMbuilder was used to evaluate covariation of the predicted structures in those regions. Please view the file <em>README_general_description_Zenodo_files.txt</em> for brief descriptions of the content. These data are associated with the manuscript entitled <em>Analyses of human cancer driver genes uncovers evolutionarily conserved RNA structural elements involved in posttranscriptional control</em>. The manuscript has currently been submitted for review in PLOS ONE.
description: Thank you to NIH-NIGMS R01GM133810 for funding.
DOI: 10.6073/pasta/8c9f759d32699902d88c7b5d607fb2f7
title: Soil Carbon and Nitrogen Deep Core Surveys at the Kellogg Biological Station, Hickory Corners, MI (2001 to 2013)

description: Dataset Abstract An LTER project goal is to periodically collect and analyze deep soil cores for the main site treatments and successional and forest sites. Soil is sampled to a depth of one meter, and analyzed for horizon depths, texture, moisture, and carbon and nitrogen content. original data source http://lter.kbs.msu.edu/datasets/47
DOI: 10.6073/pasta/193a9609b5ff5cec2690b3ac67b57c82
title: Mammalian herbivores restrict the altitudinal range limits of three alpine grass species (transplant and herbivore exclusion experiment and demographic data from natural populations), West Elk Mountains, Colorado, USA 2015-2018

description: Though rarely experimentally tested, biotic interactions have long been hypothesized to limit low-elevation range boundaries of species. We tested the effects of herbivory on three alpine-restricted plant species by transplanting plants below (novel), at the edge (limit), or in the center (core) of their current elevational range and factorially fencing-out above- and belowground mammals in the West Elk Mountains, Colorado, USA from 2015-2018. Herbivore damage was greater in range limit and novel habitats than in range cores. Exclosures increased plant biomass and reproduction more in novel habitats than in range cores, suggesting demographic costs of novel interactions with herbivores. We then used demographic models to project population growth rates, which increased 5-20% more under herbivore exclosure at range limit and novel sites than in core habitats. Our results identify mammalian herbivores as key drivers of the low-elevation range limits of alpine plants and indicate that upward encroachment of herbivores could trigger local extinctions by depressing plant population growth.
DOI: 10.6073/pasta/de88483cb6767157e3d430ba8dcb39cd
title: Resprouting of 46 Florida scrub species in relation to fire intensities, burn season, and habitat

description: We measured responses in 46 species of resprouting plants of Florida scrub and related habitats at Archbold Biological Station following 15 single fires from 2006-2012. Resprouting species were grouped into seven species groups and four habitat types. Burns occurred during either the wet, dry or fire season as defined by Platt et al. 2015. Fire temperatures and residence times were recorded using HOBO data loggers at the base of each marked plant. Survival and growth measures were recorded pre- and for up to eight years post-fire. Fires had variable intensities with maximum temperatures ranging from 47-890 degrees C (mean 549 degrees C) and residence times ranging from 0-83 minutes (mean ten). Consumed plants experienced higher fire intensity than scorched plants, and residence times were higher during the fire season and with drier conditions. Across all species affected by fire, 86% of plants survived and resprouted post-fire. First year survival was unrelated to fire variables with high survival across all maximum temperatures and residence times. Burn season, habitat, and species group did not significantly affect survival. On average across all species, post-fire growth recovered to pre-fire heights within four years. RGR was significantly affected by species group and burn season. Herbs and palmettos recovered relatively rapidly. Recovery was slowest during the fire season, and fastest after burns conducted in the fire season. Resprouting perennial plants that dominate Florida scrub and surrounding habitats appear resilient to a wide range of fire intensities, as measured by maximum temperatures and residence times. Post-fire growth was rapid, with recovery of pre-fire heights in four years. Species groups varied in post-fire recovery rates. In these habitats, fire is critical to maintain the habitat structure for many animals and plants, including many rare species. The slower recovery of biomass for some species like oaks, results in the longer availability of gaps for these rare species. In addition, variability in post-fire survival and growth among species groups likely contributes to the persistence of species diversity and complexity across habitats. However, variation in fire intensity will have little effect on species composition and habitat structure. A range of fire regimes can be used in management without having major impacts on resprouting plants in Florida scrub and related vegetation.
DOI: 10.6084/m9.figshare.17072390.v1
title: MOSAICA datasets

description: This package includes all the experimental datasets that were used for the figures in the paper '<i>Spatial transcriptomics using combinatorial fluorescence spectral and lifetime encoding, imaging and analysis</i>'.Each folder is associated to a figure (3 through 6) and each experiment is accompanied by a csv file with the extracted data.The raw data can be analyzed using our image processing pipeline for MATLAB, available in FigShare:MOSAICA software (figshare.com)<br>
DOI: 10.5281/zenodo.5747884
title: FUV and NUV observations of the bulge of M31

description: This is the set of FUV and NUV filter images (F148W, F169M, F172M, N219M and N279N) of Field 1 of M31, containing the bulge of M31.
description: images processed as described in "FUV to FIR SED modelling of the stellar formation history of the M31 Bulge" Leahy, D., Seminoff, N, Leahy, C. (currently under review by AJ, on Dec.1, 2021), and in Leahy, D.A., Buick, M, and Postma, J.E., 2021, AJ, 162, 199 (and references therein).
DOI: 10.5281/zenodo.5747883
title: FUV and NUV observations of the bulge of M31

description: This is the set of FUV and NUV filter images (F148W, F169M, F172M, N219M and N279N) of Field 1 of M31, containing the bulge of M31.
description: images processed as described in "FUV to FIR SED modelling of the stellar formation history of the M31 Bulge" Leahy, D., Seminoff, N, Leahy, C. (currently under review by AJ, on Dec.1, 2021), and in Leahy, D.A., Buick, M, and Postma, J.E., 2021, AJ, 162, 199 (and references therein).
DOI: 10.5281/zenodo.5084298
title: The detection of radio emission from known X-ray flaring star EXO 040830−7134.7

description: This is the radio light curve of known X-ray flaring star EXO 040830−7134.7 observed by MeerKAT as part of ThunderKAT. These data are part of a publication in the Monthly Notice of the Royal Astronomical Society (Driessen et al., Accepted 2021 November 25. Received 2021 November 25; in original form 2021 August 25). The light curve is from the full-time-integration, full-frequency-integration images of VW Hyi, as processed by the LOFAR Transients Pipeline (TraP). The columns in the file are: mjd: the modified Julian Date (MJD) of the observation. The MJD is given by MJD=JD-2400000.5 where JD is the Julian Date f_int_Jy: the integrated flux density of the source in Jansky (Jy) determined by the LOFAR TraP f_int_err_Jy: the uncertainty on f_int_Jy in Jansky determined by the LOFAR TraP freq_eff_Hz: the effect frequency in Hertz (Hz) as determined by the LOFAR TraP taustart_ts: the ISO 8601 time of the observation in Coordinated Universal Time (UTC) The files were made using the Pandas package, so we recommend Python users load them using <pre><code>import pandas as pd pd.read_csv(filename, comment='#')</code></pre> If you use the data shared here please ensure that you cite the MNRAS paper (Driessen at al. 2021) and the Zenodo DOI: 10.5281/zenodo.5084298. The MeerKAT telescope is operated by the South African Radio Astronomy Observatory, which is a facility of the National Research Foundation, an agency of the Department of Science and Innovation.<br> LND acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 694745).
DOI: 10.5281/zenodo.5728409
title: Data for time series tutorial

description: These are sample data files to be used in the time series tutorial found here: https://github.com/abigailStev/timeseries-tutorial They are public datasets from the NICER X-ray Timing Instrument of a black hole, MAXI J1535-571, and a neutron star, Swift J0243.6+6124. There are also Good Time Intervals I created for each of the photon event lists.
description: {"references": ["Wilson-Hodge, C. et al. (2018). \"NICER and Fermi GBM Observations of the First Galactic Ultraluminous X-Ray Pulsar Swift J0243.6+6124,\" ApJ, 863, 9.", "Stevens, A.L. et al. (2018). \" A NICER Discovery of a Low-frequency Quasi-periodic Oscillation in the Soft-intermediate State of MAXI J1535-571,\" ApJ, 865, L15."]}
DOI: 10.5281/zenodo.5084297
title: The detection of radio emission from known X-ray flaring star EXO 040830−7134.7

description: This is the radio light curve of known X-ray flaring star EXO 040830−7134.7 observed by MeerKAT as part of ThunderKAT. These data are part of a publication in the Monthly Notice of the Royal Astronomical Society (Driessen et al., Accepted 2021 November 25. Received 2021 November 25; in original form 2021 August 25). The light curve is from the full-time-integration, full-frequency-integration images of VW Hyi, as processed by the LOFAR Transients Pipeline (TraP). The columns in the file are: mjd: the modified Julian Date (MJD) of the observation. The MJD is given by MJD=JD-2400000.5 where JD is the Julian Date f_int_Jy: the integrated flux density of the source in Jansky (Jy) determined by the LOFAR TraP f_int_err_Jy: the uncertainty on f_int_Jy in Jansky determined by the LOFAR TraP freq_eff_Hz: the effect frequency in Hertz (Hz) as determined by the LOFAR TraP taustart_ts: the ISO 8601 time of the observation in Coordinated Universal Time (UTC) The files were made using the Pandas package, so we recommend Python users load them using <pre><code>import pandas as pd pd.read_csv(filename, comment='#')</code></pre> If you use the data shared here please ensure that you cite the MNRAS paper (Driessen at al. 2021) and the Zenodo DOI: 10.5281/zenodo.5084298. The MeerKAT telescope is operated by the South African Radio Astronomy Observatory, which is a facility of the National Research Foundation, an agency of the Department of Science and Innovation.<br> LND acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 694745).
DOI: 10.5281/zenodo.5728408
title: Data for time series tutorial

description: These are sample data files to be used in the time series tutorial found here: https://github.com/abigailStev/timeseries-tutorial They are public datasets from the NICER X-ray Timing Instrument of a black hole, MAXI J1535-571, and a neutron star, Swift J0243.6+6124. There are also Good Time Intervals I created for each of the photon event lists.
description: {"references": ["Wilson-Hodge, C. et al. (2018). \"NICER and Fermi GBM Observations of the First Galactic Ultraluminous X-Ray Pulsar Swift J0243.6+6124,\" ApJ, 863, 9.", "Stevens, A.L. et al. (2018). \" A NICER Discovery of a Low-frequency Quasi-periodic Oscillation in the Soft-intermediate State of MAXI J1535-571,\" ApJ, 865, L15."]}
DOI: 10.6084/m9.figshare.17105903
title: DPHP-DTS Field Experiment at Lake Wheeler Field Laboratory

description: Data used in the Manuscript. Includes: 1- DTS raw temperature signals 2- DTS calibrated temperature signals3- EC5 sensor measurements and locations<br>
DOI: 10.6084/m9.figshare.17105903.v1
title: DPHP-DTS Field Experiment at Lake Wheeler Field Laboratory

description: Data used in the Manuscript. Includes: 1- DTS raw temperature signals 2- DTS calibrated temperature signals3- EC5 sensor measurements and locations<br>
DOI: 10.6084/m9.figshare.7757312
title: FO-DPHP DTS DATA

description: Data used in the Manuscript. Includes:1- DTS raw temperature signals2- RBRSOLO temperature measurements of the Calibration baths.3- Distances of the valid DTS data points included in the analysis<br>4- EC5 sensor measurements5- KD2 sensor measurements<br>
DOI: 10.6084/m9.figshare.7757312.v1
title: FO-DPHP DTS DATA

description: Data used in the Manuscript. Includes:1- DTS raw temperature signals2- RBRSOLO temperature measurements of the Calibration baths.3- Distances of the valid DTS data points included in the analysis<br>4- EC5 sensor measurements5- KD2 sensor measurements<br>
DOI: 10.6073/pasta/a593a675d644fdefb736750b291579a0
title: SBC LTER: Reef: Abundance, size and fishing effort for California Spiny Lobster (Panulirus interruptus), ongoing since 2012

description: Data on abundance, size and fishing pressure of California spiny lobster (Panulirus interruptus) are collected along the mainland coast of the Santa Barbara Channel. Spiny lobsters are an important predator in giant kelp forests off southern California. Two SBC LTER study reefs are located in or near the California Fish and Game Network of Marine Protected Areas (MPA), Naples and Isla Vista, both established as MPAs on 2012-01-01. MPAs provide a unique opportunity to investigate the effects of fishing on kelp forest community dynamics. Sampling began in 2012 and is ongoing. This dataset contains two tables. 1) Abundance and size data collected annually by divers in late summer before the start of the fishing season at five SBC LTER long term kelp forest study sites: two within MPAs (Naples and Isla Vista) and three outside (Arroyo Quemado, Mohawk and Carpinteria). 2) Fishing pressure, as determined by counting the number of commercial trap floats. Data are collected every two to four weeks during the lobster fishing season (October to March) at nine sites along the mainland, eight of which are also SBC LTER long-term kelp forest study reefs.
DOI: 10.5281/zenodo.5748080
title: Reconstruction of simulated air shower footprints measured at a hypothetical ground-based cosmic-ray observatory

description: Ultra-high energy cosmic rays produce extensive air showers of secondary particles upon entering the atmosphere. Sampling the footprint of these particles with surface detectors is a widely used detection technique. In this data set, the reconstruction of cosmic-ray properties like the shower maximum using the measured particle footprint can be investigated. The Observatory features 9 x 9 stations arranged in a Cartesian grid with a spacing of 1500 m. Each station can measure the time-dependent signals in a window of 80 bins a 25 ns. The data were simulated using a modified version of https://git.rwth-aachen.de/DavidWalz/airshower and used in https://arxiv.org/abs/2107.00656.
DOI: 10.5281/zenodo.5748079
title: Reconstruction of simulated air shower footprints measured at a hypothetical ground-based cosmic-ray observatory

description: Ultra-high energy cosmic rays produce extensive air showers of secondary particles upon entering the atmosphere. Sampling the footprint of these particles with surface detectors is a widely used detection technique. In this data set, the reconstruction of cosmic-ray properties like the shower maximum using the measured particle footprint can be investigated. The Observatory features 9 x 9 stations arranged in a Cartesian grid with a spacing of 1500 m. Each station can measure the time-dependent signals in a window of 80 bins a 25 ns. The data were simulated using a modified version of https://git.rwth-aachen.de/DavidWalz/airshower and used in https://arxiv.org/abs/2107.00656.
DOI: 10.18154/rwth-2021-09905
title: Forschungsdaten zu: "Verständnis von Arsen- und Uranquellen und -mobilität in Grundwasserströmungssystemen von zwei Gebieten in San Luis Potosi, Mexiko: Cerritos- und Villa de Reyes-Becken"
title: Research data to: "Understanding arsenic and uranium sources and mobility in groundwater flow systems from two areas in San Luis Potosi, Mexico: Cerritos and Villa de Reyes Basins"

description: The appendix includes all data generated throughout the research project and used in the thesis. The folders include data from different experiments, laboratory analysis, data modeling, statistical evaluation, tables, and images published in the thesis.
DOI: 10.6073/pasta/a98c5ce00cc51d5424b07aebcfcf9f74
title: Operational taxonomic unit (OTU) table characterizing water track and adjacent soil microbial communities in Taylor Valley, Antarctica during the 2012-13 austral summer

description: This data package includes the abundance of microbial operational taxonomic units (OTUs) for samples collected during the austral summer of 2012-2013 in the Lake Hoare and Goldman Glacier Basins of Taylor Valley, Antarctica. A total of twenty samples from on- and off-water track soils were collected and analyzed. Samples were collected from the Lake Hoare Basin on 27 December 2012 and from the Goldman Glacier Basin on 4 January 2013. The aim of the study was to identify how variation in the measured physical and chemical environment of water tracks within the two water track systems influenced soil microbial community structure and diversity. Soil bacterial biodiversity was assessed using cultivation independent 16S rRNA gene sequencing.
DOI: 10.6084/m9.figshare.17105897
title: VoE output

description: All modeling output from this study outside of the T2D benchmarking.
DOI: 10.5281/zenodo.5748125
title: Low carbon energy R&D portfolios that are robust when models and experts disagree

description: This data archive contains model runs and data analysis files to the research article <strong>Low carbon energy R&D portfolios that are robust when models and experts disagree</strong> by Franklyn Kanyako, Erin Baker, David Anthoff <strong>All Model output and Non-Dominated Portfolios</strong>: This contains all expected values of all model outputs, used to determine the non-dominated portfolios under each policy. <strong>Large Scale Expert Elicitation of R&D Investment</strong>: Contains samples of expert elicitation from each elicitation team.
DOI: 10.5281/zenodo.5748124
title: Low carbon energy R&D portfolios that are robust when models and experts disagree

description: This data archive contains model runs and data analysis files to the research article <strong>Low carbon energy R&D portfolios that are robust when models and experts disagree</strong> by Franklyn Kanyako, Erin Baker, David Anthoff <strong>All Model output and Non-Dominated Portfolios</strong>: This contains all expected values of all model outputs, used to determine the non-dominated portfolios under each policy. <strong>Large Scale Expert Elicitation of R&D Investment</strong>: Contains samples of expert elicitation from each elicitation team.
DOI: 10.34740/kaggle/dsv/2875641
title: Gasoline Prices in Italy - 20211201
DOI: 10.6084/m9.figshare.11791512.v1
title: Correlates of Self-Reported Cotton Fever Experience among People Who Inject Opioids

description: <i>Background:</i> Cotton fever is a febrile syndrome occurring after intravenous drug injection. Although its clinical presentation is well described in the literature, data regarding prevention is lacking. We aimed to assess proportion and correlates of cotton fever experience among people who inject opioids. <i>Methods:</i> We performed a cross-sectional study using data from the community-based survey PrebupIV conducted in France in 2015 among 557 people who regularly injected opioids. Self-reported sociodemographic data, together with data on substance use, injecting practices and occurrence of cotton fever were all collected through face-to-face (<i>n</i> = 398) or online (<i>n</i> = 159) questionnaires. Factors associated with cotton fever experience were assessed using logistic regression model. <i>Results:</i> Over half of the participants (54%) reported cotton fever experience. In the multivariable logistic regression, crack cocaine injection (adjusted Odds Ratio (aOR) = 1.96, 95% Confidence Interval (CI) = 1.03–3.63), longer duration of opioid use (for 1 year of use: aOR = 1.05, 95%CI = 1.02–1.09), and filtering mainly with cotton filters (compared with membrane filters, aOR = 1.86, 95%CI = 1.24–2.78) were all associated with cotton fever experience. <i>Conclusions:</i> Our findings highlight that cotton fever is a frequent complication of injecting drug use. Avoiding the use and reuse of cotton balls to filter injected solutions, and promoting membrane filters use could reduce the risk of the condition occurring.
DOI: 10.6084/m9.figshare.11791512
title: Correlates of Self-Reported Cotton Fever Experience among People Who Inject Opioids

description: <i>Background:</i> Cotton fever is a febrile syndrome occurring after intravenous drug injection. Although its clinical presentation is well described in the literature, data regarding prevention is lacking. We aimed to assess proportion and correlates of cotton fever experience among people who inject opioids. <i>Methods:</i> We performed a cross-sectional study using data from the community-based survey PrebupIV conducted in France in 2015 among 557 people who regularly injected opioids. Self-reported sociodemographic data, together with data on substance use, injecting practices and occurrence of cotton fever were all collected through face-to-face (<i>n</i> = 398) or online (<i>n</i> = 159) questionnaires. Factors associated with cotton fever experience were assessed using logistic regression model. <i>Results:</i> Over half of the participants (54%) reported cotton fever experience. In the multivariable logistic regression, crack cocaine injection (adjusted Odds Ratio (aOR) = 1.96, 95% Confidence Interval (CI) = 1.03–3.63), longer duration of opioid use (for 1 year of use: aOR = 1.05, 95%CI = 1.02–1.09), and filtering mainly with cotton filters (compared with membrane filters, aOR = 1.86, 95%CI = 1.24–2.78) were all associated with cotton fever experience. <i>Conclusions:</i> Our findings highlight that cotton fever is a frequent complication of injecting drug use. Avoiding the use and reuse of cotton balls to filter injected solutions, and promoting membrane filters use could reduce the risk of the condition occurring.