cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/qugw8v/9pyh5c
title: fGenes.tab

description: :unav
DOI: 10.7910/dvn/qugw8v/fpz21k
title: mGenes.tab

description: :unav
DOI: 10.7910/dvn/qugw8v/hoc4t0
title: 5_build_author_models.R

description: :unav
DOI: 10.7910/dvn/qugw8v/q5nizw
title: 4_build_models.R

description: :unav
DOI: 10.7910/dvn/qugw8v/ru4n0p
title: 4_plot_figure4.R

description: :unav
DOI: 10.7910/dvn/qugw8v/ze3pyd
title: Figure5Data.tab

description: :unav
DOI: 10.7910/dvn/iapi0x/2rfgw1
title: train_rollpi_plo_m_lay_set18to22_10000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/bqy7cm
title: test_rollpi_plo_m_lay_set23to24_3000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/egbwfg
title: test_rollpi_plo_f_lay_set23to24_3000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/jnn9tn
title: train_rollpi_m_lay_set18to22_10000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/qybfyb
title: train_rollpi_m_lay_set10to17_16000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/rszdmt
title: test_rollpi_f_lay_set23to24_3000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/u5xt3e
title: train_rollpi_plo_f_lay_set18to22_10000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/u8rypn
title: train_rollpi_plo_m_lay_set10to17_16000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/xduwcq
title: train_rollpi_plo_f_lay_set10to17_16000.p

description: :unav
DOI: 10.7910/dvn/iapi0x/xlegzl
title: train_rollpi_f_lay_set18to22_10000.p

description: :unav
DOI: 10.5286/isis.e.rb2010022
title: Local boron and oxygen structure in lanthanide orthoborates LnBO3

description: We propose to carry out neutron total scattering on a series of five compounds with the formula LnBO3 (Ln = Y, Tb, Ho, Er, Yb). This will enable us to study the B--O distances and the local coordination environments of the B and O atoms, which we know to be disordered from previous experiments.
DOI: 10.5286/isis.e.rb2010022-1
title: Local boron and oxygen structure in lanthanide orthoborates LnBO3

description: We propose to carry out neutron total scattering on a series of five compounds with the formula LnBO3 (Ln = Y, Tb, Ho, Er, Yb). This will enable us to study the B--O distances and the local coordination environments of the B and O atoms, which we know to be disordered from previous experiments.
DOI: 10.7910/dvn/iapi0x/7ub15n
title: test_rollpi_f_lay_set23to24_3000_qt_convnet_1_anglesDC_184000ct_128b_x5pm_tnh_clns10p_100e_00002lr.p

description: :unav
DOI: 10.7910/dvn/iapi0x/odhp5q
title: test_rollpi_f_lay_set23to24_3000_qt_convnet_1_anglesDC_184000ct_128b_x1pm_tnh_clns10p_100e_2e-05lr.p

description: :unav
DOI: 10.5066/p9a682gw
title: SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southeastern United States, 2012 Base Year

description: The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based water-quality load estimates. This USGS data release includes input and output files associated with 2012 SPARROW simulations of streamflow, total nitrogen, total phosphorus and suspended-sediment load in streams of the Southeast region. Model construction, calibration and results are described in Hoos and Roland (2019, https://doi.org/10.3133/sir20195135).
DOI: 10.21227/hwz4-1238
title: FoodCounting

description: These three datasets cover Western, Chinese and Japanese food used for food instance counting and segmentation evaluation.
DOI: 10.21227/vwsd-6s95
title: FoodCounting

description: These three datasets cover Western, Chinese and Japanese food used for food instance counting and segmentation evaluation.
DOI: 10.24431/rw1k43h
title: ADF&G Central Region (Bristol Bay, Prince William Sound, Cook Inlet) Salmon Age Sex Length Data, 1957-2018

description: Salmon age, sex, and length (ASL) data (which often includes other measurements as well) have been collected across Alaska by state biologists with the Alaska Department of Fish and Game (ADF&G) since statehood (1959) and prior to that by federal biologists. These data are used for a variety of stock assessment applications, including forecasts and spawning escapement goals, and an important component of salmon management. These data are also have ecological importance as they can be used to examine trends in size and growth of salmon populations over time. In addition, physical specimens have value for examining changes in the diets and genetic characteristics of salmon populations over time. The datasets associated with this project are specific to the Central Region of ADF&G's Division of Commercial Fisheries, which includes the following fisheries management areas: Prince William Sound, Upper and Lower Cook Inlet, and Bristol Bay. Data were collected from salmon in a variety of fisheries (sport, subsistence, commercial, personal use, etc.) and for research projects such as at weirs. As such, data include samples from marine and freshwater environments. Salmon ages were interpreted from the scales of fish, except in the rare instances where ages were estimated from otoliths. Salmon lengths were measured from mideye-to-fork. Age interpretation was done by biologists and technicians at area offices in Cordova, Homer, Soldotna, King Salmon, Dillingham, Anchorage, and elsewhere. Data assembled for this project are in csv formats.
DOI: 10.5066/p9cac0f6
title: Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon

description: A three-dimensional hydrogeologic framework model (3D HFM) of the westernmost western Snake River Plain (WSRP) aquifer system was prepared to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the 3D HFM was lithologic data from a total of 291 well-driller reports. These data were then processed using Rockware Rockworks17 three-dimensional modeling software. The data released here are grouped into three datasets: (1) An ASCII text file of the 3D HFM containing XYZ data. (2) Comma-delineated CSV files containing well information including lithology. (3) An MP4 video file showing the 3D HFM model as it is revealed by slices and then rotated.
DOI: 10.24431/rw1k43i
title: ADF&G Prince William Sound Salmon Aerial Survey Data, 1948-2018

description: Data in this collection include counts of salmon in Prince William Sound (PWS) streams (including bay, mouth and stream counts) 1948-2018. Data were generated from visual counts of salmon from airplane-based observers during low-level flyovers. Data were collected as part of ADF&G efforts to estimate salmon escapement by stream for management of commercial fisheries. Data are presented as CSV files that contain bay, mouth, and stream counts for each species and survey stream by day. Data include other observations including environmental conditions and presence of bears.
DOI: 10.5519/qd.ti94eyjo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (578 records)
DOI: 10.3886/e115968
title: Workforce Capacity in Municipal Government

description: Please cite the corresponding article if this dataset is used to support additional findings:<br><br>Leon-Moreta, Agustin, and Vittoria R. Totaro. “Workforce Capacity in Municipal Government.” Public Administration Review, February 19, 2020. https://doi.org/10.1111/puar.13155.<br>The data described here were used in the analysis and findings reported in the article reference above. A STATA (V. 13) do-file for calculating variables is also included. Please cite the corresponding article if this dataset is used to support additional findings.<br>
description: Municipalities in the United States
DOI: 10.3886/e115968v1
title: Workforce Capacity in Municipal Government

description: Please cite the corresponding article if this dataset is used to support additional findings:<br><br>Leon-Moreta, A. "Workforce Capacity in Municipal Government." Public Administration Review. (In press).<br>The data described here were used in the analysis and findings reported in the article reference above. A STATA (V. 13) do-file for calculating variables is also included. Please cite the corresponding article if this dataset is used to support additional findings.
description: Municipalities in the United States
DOI: 10.20393/hpxp-4q69
title: Nephrops Underwater TV Survey FU16 Porcupine Bank

description: <i>Nephrops norvegicus</i> are common around the Irish coast, occurring in geographically distinct sandy or muddy areas where the sediment is suitable for construction of their burrow dwellings. This dataset provides quality assured estimates of <i>Nephrops</i> burrow densities from a randomised isometric grid of underwater television (UWTV) stations at six nautical mile spacing over the known spatial and bathymetric distribution of the FU (functional unit) 16: Porcupine Bank (illustrative shapefile provided with data). This dataset covers the period of 2012 and is ongoing. One hundred percent of the survey grid was covered in all years but 2012, where sixty-nine percent of the grid was covered (47 stations), and 2015, where no survey data are available due to research vessel breakdown. Dataset fields are Nephrops Functional Unit Number; Nephrops Ground Name; Survey Code; Year; UWTV Station number; Decimalised longitude and latitude midpoint of the UWTV station track; Adjusted density (Nephrops burrows/m²) ;Length in metres of the UWTV station track; Source of length data (USBL sled GPS, SHIP GPS, estimated GPS);Field of View in metres of camera system; Data Extraction source (SQL, MSAccess); Research Vessel Name; Correction Factor (Density / Correction Factor = Adjusted Density) and Depth (metres). Underwater TV Survey reports for this Nephrops stock are available at:http://hdl.handle.net/10793/1431 Also available is the ICES Cooperative Research Reports which details use of UWTV surveys to assess Nephrops stocks. Further details of stock assessment can found by accessing the following report: https://tinyurl.com/ices-nephrops
DOI: 10.5066/p9wcnwej
title: Hawaii Volcanoes National Park Plant Trait, Percent Cover, and Environmental Data 2014

description: This data release includes data and metadata on 1) the coverage and composition of plants 2) species specific plant traits 3) sampling locations and 4) environmental data. All sites were within Hawaii Volcanoes National Park on Hawaii Island. Plant cover data were obtained from National Park Service Inventory and Monitoring Program. Plant trait data was collected for these plots in 2014. This study aims to evaluate how traits of native and exotic plant species change along environmental gradients and what this suggests for plant competition and invasion.
DOI: 10.5281/zenodo.3598424
title: BIDS Data for "Effects of Acute and Chronic Reuptake Inhibitionon on Optogenetically Induced Serotonergic Activity"

description: Base data package for the “Effects of Acute and Chronic Reuptake Inhibitionon Optogenetically Induced Serotonergic Activity” article, formatted corresponding to the Brain Imaging Data Structure.
DOI: 10.5281/zenodo.3598569
title: Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits

description: Data for the preprint "Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits.”, by Legay N. , Grassein F., Arnoldi C., Segura R., Laîné P., Lavorel S., Clément J.C.
DOI: 10.5281/zenodo.3598570
title: Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits

description: Data for the preprint "Studies of NH4+ and NO3- uptake ability of subalpine plants and resource-use strategy identified by their functional traits.”, by Legay N. , Grassein F., Arnoldi C., Segura R., Laîné P., Lavorel S., Clément J.C.
DOI: 10.21227/ezeh-7t77
title: Combining machine learning and metabolomics to identify weight gain biomarkers

description: This dataset was used in the article "Combining machine learning and metabolomics to identify weight gain biomarkers, 2019, Flávia Luísa Dias-Audibert, Luiz Claudio Navarro, Diogo Noin de Oliveira, Jeany Delafiori, Carlos Fernando Odir Rodrigues Melo, Tatiane Melina Guerreiro, Mohamed Ziad Dabaja, Flávia Troncon Rosa, Diego Lima Petenuci, Maria Angelica Ehara Watanabe, Licio Augusto Velloso, Anderson Rezende Rocha, Rodrigo Ramos Catharino" submitted to Frontiers Bioengineering and Biotechnology with review finalized on 22 Nov 2019.Article abstract:Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important factor that contributes to the development of such comorbidities. Therefore, laboratory methods that allow the identification of subjects at higher risk for severe weight-associated morbidity are of utter importance, considering the health and safety of populations. This contribution analyzed the plasma of 180 Brazilian individuals, equally divided into a eutrophic control group and case group, to assess the presence of biomarkers related to weight gain, aiming at characterizing the phenotype of this population. Samples were analyzed by mass spectrometry and most discriminant features were determined by a machine learning approach using Random Forest algorithm. Five biomarkers related to the pathogenesis and chronicity of inflammation in weight gain were identified. Two metabolites of arachidonic acid were upregulated in the case group, indicating the presence of inflammation, as well as two other molecules related to dysfunctions in the cycle of nitric oxide (NO) and increase in superoxide production. Finally, a fifth case group marker observed in this study may indicate the trigger for diabetes in overweight and obesity individuals. The use of mass spectrometry combined withmachine learning analyses to prospect and characterize biomarkers associated with weight gain will pave the way for elucidating potential therapeutic and prognostic targets.
DOI: 10.21227/sr2s-p746
title: Combining machine learning and metabolomics to identify weight gain biomarkers

description: This dataset was used in the article "Combining machine learning and metabolomics to identify weight gain biomarkers, 2019, Flávia Luísa Dias-Audibert, Luiz Claudio Navarro, Diogo Noin de Oliveira, Jeany 1 Delafiori, Carlos Fernando Odir Rodrigues Melo, Tatiane Melina Guerreiro, Mohamed Ziad Dabaja, Flávia Troncon Rosa, Diego Lima Petenuci, Maria Angelica Ehara Watanabe, Licio Augusto Velloso, Anderson Rezende Rocha, Rodrigo Ramos Catharino" submitted to Frontiers Bioengineering and Biotechnology with review finalized on 22 Nov 2019.Article abstract:Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important factor that contributes to the development of such comorbidities. Therefore, laboratory methods that allow the identification of subjects at higher risk for severe weight-associated morbidity are of utter importance, considering the health and safety of populations. This contribution analyzed the plasma of 180 Brazilian individuals, equally divided into a eutrophic control group and case group, to assess the presence of biomarkers related to weight gain, aiming at characterizing the phenotype of this population. Samples were analyzed by mass spectrometry and most discriminant features were determined by a machine learning approach using Random Forest algorithm. Five biomarkers related to the pathogenesis and chronicity of inflammation in weight gain were identified. Two metabolites of arachidonic acid were upregulated in the case group, indicating the presence of inflammation, as well as two other molecules related to dysfunctions in the cycle of nitric oxide (NO) and increase in superoxide production. Finally, a fifth case group marker observed in this study may indicate the trigger for diabetes in overweight and obesity individuals. The use of mass spectrometry combined withmachine learning analyses to prospect and characterize biomarkers associated with weight gain will pave the way for elucidating potential therapeutic and prognostic targets.
DOI: 10.25345/c55h4r
title: MassIVE MSV000084760 - Proteomic and Transcriptomic Changes in Hibernating Grizzly Bears Reveal Metabolic and Signaling Pathways that Protect against Muscle Atrophy
title: Muscle atrophy is a physiological response to disuse and malnutrition, but hibernating bears are largely resistant to this phenomenon. Unlike other mammals, they efficiently reabsorb amino acids from urine, periodically activate muscle contraction, and their adipocytes differentially responds to insulin. The contribution of myocytes to the reduced atrophy remains largely unknown. Here we show how metabolism and atrophy signaling are regulated in skeletal muscle of hibernating grizzly bear.
DOI: 10.5281/zenodo.3599778
title: Measurement of 139La(p,x) cross sections from 35-60 MeV by stacked-target activation

description: This repository contains all raw gamma-ray spectra analyzed for the present manuscript, as well as calibration spectra. Further details and analysis code are available on reasonable request. A stacked-target of natural lanthanum foils (99.9119% 139La) was irradiated using a 60 MeV proton beam at the LBNL 88-Inch Cyclotron. 139La(p,x) cross sections are reported between 35–60 MeV for nine product radionuclides. The primary motivation for this measurement was the need to quantify the production of 134Ce. As a positron-emitting analogue of the promising medical radionuclide 225Ac, 134Ce is desirable for in vivo applications of bio-distribution assays for this emerging radio-pharmaceutical. The results of this measurement were compared to the nuclear model codes TALYS, EMPIRE and ALICE (using default parameters), which showed significant deviation from the measured values.
DOI: 10.5281/zenodo.3599779
title: Measurement of 139La(p,x) cross sections from 35-60 MeV by stacked-target activation

description: This repository contains all raw gamma-ray spectra analyzed for the present manuscript, as well as calibration spectra. Further details and analysis code are available on reasonable request. A stacked-target of natural lanthanum foils (99.9119% 139La) was irradiated using a 60 MeV proton beam at the LBNL 88-Inch Cyclotron. 139La(p,x) cross sections are reported between 35–60 MeV for nine product radionuclides. The primary motivation for this measurement was the need to quantify the production of 134Ce. As a positron-emitting analogue of the promising medical radionuclide 225Ac, 134Ce is desirable for in vivo applications of bio-distribution assays for this emerging radio-pharmaceutical. The results of this measurement were compared to the nuclear model codes TALYS, EMPIRE and ALICE (using default parameters), which showed significant deviation from the measured values.
DOI: 10.6073/pasta/4e3776445b3d255783bd24470008b0bb
title: Advanced Laser Fluorescence (ALF) measurements of chlorophyll-a (Chl), phycoerythrin (PE), chromophoric dissolved organic matter (CDOM), and variable fluorescence (Fv/Fm) from CCE process cruises in the California Current System, 2006 - 2012.

description: The Advanced Laser Fluorometry (ALF) provides spectral deconvolution (SDC) analysis of the laser-stimulated emission (LSE) excited at 405 or 532/510 nm for assessment of chlorophyll a, phycoerythrin, and chromophoric dissolved organic matter. Three spectral types of phycoerythrin are discriminated for characterization of cyanobacteria and cryptophytes in mixed phototrophic populations. The SDC analysis is integrated with measurements of variable fluorescence, Fv/Fm, corrected for the SDC-retrieved background fluorescence, BNC, for improved photophysiological assessments of phytoplankton photochemical efficiency. Fluorescence measurements are normalized to the water Raman scattering to improve the accuracy of measurements. The ALF measurements of discrete water samples from various depths were made using several ALF instrument modifications (ALF-1, ALF-T, Aquatic Laser Fluorescence Analyzer (ALFA) , or Custom Laser Analytical Spectroscopic System (CLASS)) during CCE process cruises.
DOI: 10.25919/5e139578c78d4
title: Parkes observations for project P885 semester 2019OCTS_09

description: We propose to observe the magnetars 1E 1547.0-5408 and PSR J1622-4950 approximately weekly, to track their rotation, flux density, and polarisation, as we have been doing through this project. Also, as of late 2018, XTE J1810-197 is again a radio magnetar after 10 years dormant! Its chaotic rotation is better tracked in detail elsewhere, but weekly observations with the UWL receiver are already providing unique measurements of its radio spectrum and broad-band behaviour. Our observations provide an important window into remarkably dynamic magnetar magnetospheres, and characterise the conditions under which radio emission takes place therein, placing constraints on the emission mechanisms, which in at least some significant respects differ from those of ordinary pulsars.
DOI: 10.3886/e113486v1-21583
title: Replication data for: Student Loan Information Provision and Academic Choices

description: We examine the effect of a student loan information intervention on changes in college major using administrative data from the Montana University System from 2002-2014. Our difference-in-difference-in-differences strategy exploits the relative trends for students at Montana State University above and below the cutoff for receiving a warning letter about their student debt, compared to their counterparts at the University of Montana. We find that students who receive information suggesting they may be unlikely to be able to repay their loans are more likely to switch to higher earning majors, with higher academic performers most likely to choose STEM fields.
DOI: 10.7910/dvn/ije4rj/5crcu1
title: replication_files.zip

description: :unav