cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11907858
title: Fast talkers? Investigating the influence of self-talk on mental toughness and finish times in 800-meter runners

description: The purpose of this study was to explore whether a personalized self-talk intervention influenced mental toughness, rating of perceived exertion, sense of the urge to slow down, perceived performance and finish times in a series of 800-meter run time trials. While mental toughness has been associated with improved endurance performance, the effect of changing an individual’s momentary self-talk on mental toughness and finish time has not yet been examined. This single-subject, multiple baseline design case study incorporated three participants who each ran a series of 11 − 13 maximum effort 800-meter time trials on the track, separated by a minimum of two days, across ten weeks. Following an initial series of four to six baseline sessions, they were each then provided a personalized self-talk intervention before running the seven additional sessions. Visual analysis (including review of non-overlapping data points between baseline, intervention, and follow-up sessions) demonstrated the personalized self-talk intervention positively influenced mental toughness and finish times across all three participants but did not consistently affect the rating of perceived exertion, urge to slow down or perceived performance. Additional insights were identified through the integration of social validation interviews informally after each run session and then formally after the intervention. These insights included identifying a new baseline of effort accompanied by different levels of mental toughness and an intrigue on the part of participants about the notable improvement in outcomes in spite of previously perceived “all-out” effort. <i>Lay Summary:</i> Mental toughness variability and 800 meter finish times were both positively influenced by a personalized self-talk intervention in runners. In addition, as mental toughness increased, 800 meter finish times improved.
DOI: 10.6084/m9.figshare.14199521.v1
title: Untargeted lipidomics of non-small cell lung carcinoma data and code

description: Peak lists (unassigned and assigned), as well as code files for the analysis, including two unpublished R packages to enable analysis of the included data files.
DOI: 10.5066/p9geivxd
title: Mercury concentrations in surface water, sediment, and biota in the Laurentian Great Lakes, 2005 through Present

description: Under the Great Lakes Restoration Initiative, the U.S. Geological Survey Mercury Research Lab (USGS MRL) conducted a multiyear assessment of mercury across the Laurentian Great Lakes. Biannual sampling was conducted across all five lakes onboard the U.S. Environmental Protection Agency (US EPA) research vessel Lake Guardian (in years 2010?2014, 2018) at pelagic sampling locations established by the long-term US EPA Great Lakes monitoring program. In addition to the regularly scheduled biannual sampling, in September 2013 and 2014 Lake Michigan and Lake Erie (respectively) were sampled with increased focus on shallow nearshore locations. Throughout these sampling efforts, sediments, mussels, surface water, and plankton were collected from open-water locations within all five of the Great Lakes. Additionally, surface water from Great Lake tributaries were sampled by the USGS MRL and preceded (2005 or 2006) or overlapped (2010-2015) with the open lake sampling efforts. All surface water samples were analyzed for methylmercury, total mercury, and dissolved organic carbon. Plankton and mussel tissue were analyzed for methylmercury, total mercury, and carbon/nitrogen stable isotopes and concentrations (plankton only). Sediments were analyzed for methylmercury, total mercury, and carbon content.
DOI: 10.6084/m9.figshare.15032172.v2
title: Homeostatic Microbiome Disruption as a Cause of Insulin Secretion Disorders . Candida albicans, as a New Factor in Pathogenesis of Diabetes

description: Throat swabs and stool specimen were taken from 38 patients (36 women and two men, mean age 60.6 ± 10.4, min = 34, max = 72). Samples were collected at the Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia in Belgrade. All patients were informed about the purpose of this research and gave their oral consent for voluntary participation in this study, so it is conducted in accordance with the decision of the Ethics Committee of Medical Faculty in Belgrade. All parameters to determine the body mass index (BMI) of patients were obtained. Anthropometric measurements: body weight, body height, body mass index, waist circumference, hip circumference, waist to hip circumference ratio, were performed. Body mass index was calculated as body weight in kilograms divided by the square of the body height in meters. Glucose regulation was tested by oral glucose tolerance test (OGTT) which was performed on fasting patients by drinking 75gr of glucose dissolved in 300 ml of water. Then the values ​​of glycemia and insulin were measured after 0, 30 and 120 minutes. Insulin levels were determined by radioimmunoassay Microbiological analyses of samples (stool and throat swab) were performed by standard procedure at the Institute for Microbiology, Clinical Center in Serbia. Microbiological isolates were identified on the basis of microscopic, cultural and biochemical properties. Microscopic slides were prepared directly from patient samples, and also from colonies on culture plates, and then Gram stained. We used Columbia blood agar plates (7% sheep blood), MacConkey agar and XLD agar plates and Sabourand dextrose agar. Depending on the cultural and morphological characteristics of isolated microorganisms, we have prepared a small series of biochemical tests. Results are presented as count (%), means ± standard deviation or median (25<sup>th</sup> - 75<sup>th</sup> Percentile) depending on data type and distribution. Groups are compared using parametric (t test) and nonparametric (Pearson Chi-square test, Fisher's exact test, Mann-Whitney U test) tests. All p values less than 0.05 were considered significant. All data were analyzed using SPSS 20.0 (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.).
DOI: 10.6084/m9.figshare.15032172
title: Homeostatic Microbiome Disruption as a Cause of Insulin Secretion Disorders . Candida albicans, as a New Factor in Pathogenesis of Diabetes

description: Throat swabs and stool specimen were taken from 38 patients (36 women and two men, mean age 60.6 ± 10.4, min = 34, max = 72). Samples were collected at the Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia in Belgrade. All patients were informed about the purpose of this research and gave their oral consent for voluntary participation in this study, so it is conducted in accordance with the decision of the Ethics Committee of Medical Faculty in Belgrade. All parameters to determine the body mass index (BMI) of patients were obtained. Anthropometric measurements: body weight, body height, body mass index, waist circumference, hip circumference, waist to hip circumference ratio, were performed. Body mass index was calculated as body weight in kilograms divided by the square of the body height in meters. Glucose regulation was tested by oral glucose tolerance test (OGTT) which was performed on fasting patients by drinking 75gr of glucose dissolved in 300 ml of water. Then the values ​​of glycemia and insulin were measured after 0, 30 and 120 minutes. Insulin levels were determined by radioimmunoassay Microbiological analyses of samples (stool and throat swab) were performed by standard procedure at the Institute for Microbiology, Clinical Center in Serbia. Microbiological isolates were identified on the basis of microscopic, cultural and biochemical properties. Microscopic slides were prepared directly from patient samples, and also from colonies on culture plates, and then Gram stained. We used Columbia blood agar plates (7% sheep blood), MacConkey agar and XLD agar plates and Sabourand dextrose agar. Depending on the cultural and morphological characteristics of isolated microorganisms, we have prepared a small series of biochemical tests. Results are presented as count (%), means ± standard deviation or median (25<sup>th</sup> - 75<sup>th</sup> Percentile) depending on data type and distribution. Groups are compared using parametric (t test) and nonparametric (Pearson Chi-square test, Fisher's exact test, Mann-Whitney U test) tests. All p values less than 0.05 were considered significant. All data were analyzed using SPSS 20.0 (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.).
DOI: 10.6084/m9.figshare.15032172.v1
title: Homeostatic Microbiome Disruption as a Cause of Insulin Secretion Disorders . Candida albicans, as a New Factor in Pathogenesis of DiabetesHomeostatic Microbiome Disruption as a Cause of Insulin Secretion Disorders . Candida albicans, as a New Factor in Pathogenesis of Diabetes

description: Throat swabs and stool specimen were taken from 38 patients (36 women and two men, mean age 60.6 ± 10.4, min = 34, max = 72). Samples were collected at the Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Center of Serbia in Belgrade. All patients were informed about the purpose of this research and gave their oral consent for voluntary participation in this study, so it is conducted in accordance with the decision of the Ethics Committee of Medical Faculty in Belgrade. All parameters to determine the body mass index (BMI) of patients were obtained. Anthropometric measurements: body weight, body height, body mass index, waist circumference, hip circumference, waist to hip circumference ratio, were performed. Body mass index was calculated as body weight in kilograms divided by the square of the body height in meters. Glucose regulation was tested by oral glucose tolerance test (OGTT) which was performed on fasting patients by drinking 75gr of glucose dissolved in 300 ml of water. Then the values ​​of glycemia and insulin were measured after 0, 30 and 120 minutes. Insulin levels were determined by radioimmunoassay Microbiological analyses of samples (stool and throat swab) were performed by standard procedure at the Institute for Microbiology, Clinical Center in Serbia. Microbiological isolates were identified on the basis of microscopic, cultural and biochemical properties. Microscopic slides were prepared directly from patient samples, and also from colonies on culture plates, and then Gram stained. We used Columbia blood agar plates (7% sheep blood), MacConkey agar and XLD agar plates and Sabourand dextrose agar. Depending on the cultural and morphological characteristics of isolated microorganisms, we have prepared a small series of biochemical tests. Results are presented as count (%), means ± standard deviation or median (25<sup>th</sup> - 75<sup>th</sup> Percentile) depending on data type and distribution. Groups are compared using parametric (t test) and nonparametric (Pearson Chi-square test, Fisher's exact test, Mann-Whitney U test) tests. All p values less than 0.05 were considered significant. All data were analyzed using SPSS 20.0 (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.).
DOI: 10.5066/p9vgwrv1
title: Topographic data, historical peak-stage data, and 2D flow models for the lowermost Little Colorado River, Arizona, USA, 2017

description: These data were compiled to accompany flow modeling work on Little Colorado river above the mouth (USGS gage 09402300). The data include example models in FaSTMECH and SToRM solvers in the iRIC framework, topographic data collected by LiDAR and total station in June 2017, and high water marks from nine historic floods. Other data also include location and other information for control points and gage structures. Topographic data include ground topography collected by LiDAR and channel bathymetry collected by total station survey of a 2500 meter reach of the Little Colorado River ending near the confluence with the Colorado River. High water mark data were collected by USGS personnel using total station surveys and are divided into nine distinct sets based on elevation profile.
DOI: 10.6073/pasta/811cfcf82679e7969856a0d33f3d4194
title: Gap-filled Meteorological Data for the Virginia Coast Reserve LTER - 1989-2021

description: This is a gap-filled dataset of the VCR-LTER meteorological sensor data on a daily level. It includes the csv of the generated data, as well as the R script used to generate it.
DOI: 10.6073/pasta/e5c0c8ac614a19b1e43a31c04a536a7d
title: Hourly and Daily Climatologies for VCR LTER Weather Stations 1989-2021

description: This dataset contains daily and hourly climatologies for VCR LTER Weather Stations. Each measurement is summarized with the 5th percentile, 10 percent trimmed mean, and 95th percentile values. The datasets contain climatologies for each station, as well as for all data combined. The dataset also contains R scripts used to obtain these climatologies.
DOI: 10.6085/aa/srkx00_xxxitv2xlsr02_20200312.50.1
title: PISCO: Intertidal: site temperature data: Seal Rock, Oregon, USA (SRKX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Seal Rock, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2020-03-12. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10.0 minute intervals.
DOI: 10.6085/aa/srkx00_xxxitv2xlsr03_20200312.40.1
title: (:unkn)
DOI: 10.3886/e114703v1-94320
title: Replication data for: Good Cop, Bad Cop: Using Civilian Allegations to Predict Police Misconduct

description: In response to high-profile cases of police misconduct, reformers are calling for greater use of civilian allegations in identifying potential problem officers. This paper applies an Empirical Bayes framework to data on civilian allegations and civil rights litigation in Chicago to assess the predictive value of civilian allegations for serious future misconduct. We find a strong relationship between allegations and future civil rights litigation, especially for the very worst officers. The worst 1 percent of officers, as measured by civilian allegations, generate almost 5 times the number of payouts and over 4 times the total damage payouts in civil rights litigation. These findings suggest that intervention efforts could be fruitfully concentrated among a relatively small group.
DOI: 10.3886/e114703v1-94321
title: Replication data for: Good Cop, Bad Cop: Using Civilian Allegations to Predict Police Misconduct

description: In response to high-profile cases of police misconduct, reformers are calling for greater use of civilian allegations in identifying potential problem officers. This paper applies an Empirical Bayes framework to data on civilian allegations and civil rights litigation in Chicago to assess the predictive value of civilian allegations for serious future misconduct. We find a strong relationship between allegations and future civil rights litigation, especially for the very worst officers. The worst 1 percent of officers, as measured by civilian allegations, generate almost 5 times the number of payouts and over 4 times the total damage payouts in civil rights litigation. These findings suggest that intervention efforts could be fruitfully concentrated among a relatively small group.
DOI: 10.6085/aa/ialexx_xxxitbpxmsr01_20181204.40.1
title: (:unkn)
DOI: 10.6085/aa/ialexx_xxxitbpxmsr01_20181204.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alegria (IALEXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alegria by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ialexx_xxxitbpxmsr01_20191112.40.1
title: (:unkn)
DOI: 10.6085/aa/ialexx_xxxitbpxmsr01_20191112.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alegria (IALEXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alegria by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/iarhxx_xxxitbpxmsr01_20181204.40.1
title: (:unkn)
DOI: 10.6085/aa/iarhxx_xxxitbpxmsr01_20181204.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Arroyo Hondo (IARHXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Arroyo Hondo by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/iarhxx_xxxix03xmsr01_20191126.40.1
title: (:unkn)
DOI: 10.6085/aa/iarhxx_xxxix03xmsr01_20191126.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Arroyo Hondo (IARHXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Arroyo Hondo by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/icopxx_xxxitbpxmsr01_20181204.40.1
title: (:unkn)
DOI: 10.6085/aa/icopxx_xxxitbpxmsr01_20181204.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Coal Oil Point (ICOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Coal Oil Point by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/icopxx_xxxix03xmsr01_20191213.40.1
title: (:unkn)
DOI: 10.6085/aa/icopxx_xxxix03xmsr01_20191213.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Coal Oil Point (ICOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Coal Oil Point by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/icrpxx_xxxitbpxmsr01_20181204.40.1
title: (:unkn)
DOI: 10.6085/aa/icrpxx_xxxitbpxmsr01_20181204.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Carpinteria (ICRPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Carpinteria by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/icrpxx_xxxix03xmsr01_20191125.40.1
title: (:unkn)
DOI: 10.6085/aa/icrpxx_xxxix03xmsr01_20191125.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Carpinteria (ICRPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Carpinteria by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/imusxx_xxxitbpxmsr01_20181204.40.1
title: (:unkn)
DOI: 10.6085/aa/imusxx_xxxitbpxmsr01_20181204.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Mussel Shoals (IMUSXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Mussel Shoals by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/imusxx_xxxix03xmsr01_20191113.40.1
title: (:unkn)
DOI: 10.6085/aa/imusxx_xxxix03xmsr01_20191113.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Mussel Shoals (IMUSXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Mussel Shoals by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.5281/zenodo.5224578
title: An Extreme Ultraviolet Spectrum of a Coronal Loop Footpoint (from Landi & Young 2009)

description: This record contains a spectrum from the Hinode EUV Imaging Spectrometer (EIS) that was analyzed by Landi & Young (2009, ApJ, 706, 1) and Young & Landi (2009, ApJ, 707, 173). The spectrum was shown in Figures 2-5 of Landi & Young (2009). The items are: sw_spectrum.txt - Spectrum from the EIS short wavelength (SW) channel [format: ASCII] lw_spectrum.txt - Spectrum from the EIS long wavelength (LW) channel [format: ASCII] mask.fits - A FITS file containing a 2D bitmap image that shows the spatial pixels that were averaged to yield the spectrum. The mask applies to the wavelength 194.66 angstroms. The spectra are created from the EIS data file beginning at 01:12 UT on 21-Feb-2007. After calibrating the dataset to level-1, the spectra are generated from the pixel mask using the IDL routine eis_mask_spectrum.pro that is available in the Solarsoft library. Further details about this software are available in EIS Software note 16, which is also available in Solarsoft. The Hinode data are publicly available through the Virtual Solar Observatory (https://sdac.virtualsolar.org/). The Solarsoft library is also publicly available at https://www.lmsal.com/solarsoft/. The spectrum is described at https://iopscience.iop.org/article/10.1088/0004-637X/706/1/1.
DOI: 10.5281/zenodo.5224577
title: An Extreme Ultraviolet Spectrum of a Coronal Loop Footpoint (from Landi & Young 2009)

description: This record contains a spectrum from the Hinode EUV Imaging Spectrometer (EIS) that was analyzed by Landi & Young (2009, ApJ, 706, 1) and Young & Landi (2009, ApJ, 707, 173). The spectrum was shown in Figures 2-5 of Landi & Young (2009). The items are: sw_spectrum.txt - Spectrum from the EIS short wavelength (SW) channel [format: ASCII] lw_spectrum.txt - Spectrum from the EIS long wavelength (LW) channel [format: ASCII] mask.fits - A FITS file containing a 2D bitmap image that shows the spatial pixels that were averaged to yield the spectrum. The mask applies to the wavelength 194.66 angstroms. The spectra are created from the EIS data file beginning at 01:12 UT on 21-Feb-2007. After calibrating the dataset to level-1, the spectra are generated from the pixel mask using the IDL routine eis_mask_spectrum.pro that is available in the Solarsoft library. Further details about this software are available in EIS Software note 16, which is also available in Solarsoft. The Hinode data are publicly available through the Virtual Solar Observatory (https://sdac.virtualsolar.org/). The Solarsoft library is also publicly available at https://www.lmsal.com/solarsoft/. The spectrum is described at https://iopscience.iop.org/article/10.1088/0004-637X/706/1/1.
DOI: 10.5281/zenodo.5224624
title: Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution

description: Data and model files supporting the manuscript: Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution. Repository: https://github.com/alcantarar/Recurrent_GRF_Prediction
DOI: 10.5281/zenodo.4995573
title: Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution

description: Data and model files supporting the manuscript: Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solution. Repository: https://github.com/alcantarar/Recurrent_GRF_Prediction
DOI: 10.6084/m9.figshare.3761562.v1955
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: 10.6084/m9.figshare.15455538
title: Model output for "Flow aware parameterizations invigorate the ocean circulation under the Pine Island ice shelf, West Antarctica"

description: All simulation output, and compile and run time configuration options for the MITgcm necessary to reproduce the results shown in:<br>Smith, T. A. (2021). Flow aware parameterizations invigorate the simulated flow under the Pine Island ice shelf, West Antarctica. Submitted to Journal of Geophysical Research: Oceans.