cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1305817
title: Mental health data of 776 Mexican medical students (PHQ-9, GAD-7 and Epworth Sleepiness Scale Scores)

description: <strong>Data </strong><strong>description</strong> In 2014, we randomly selected 1200 of 4520 medical students enrolled in a private Mexican university. 776 Medical students agreed to participate (64.6% response).<br> <strong>Variables</strong>- unique anonymous identifier: "id"- school year in course (1,2,3,4): "school_year"- semester in course (1,2,3,4,5,6,7,8): "semester"- age in years: "age" - binary gender: "gender"- Height in meters: "height"- Weight in kg: "weight"- PHQ-9: "phq1", "phq2", ... "phq9"<br>- Whether if the student has seriously thought dropping out of school: "thoughts_of_dropping_out"- Previous depression diagnosis: "previous_depression_diagnosis"- Previous medical treatment for depression: "previous_depression_treatment" - GAD-7: "gad1", "gad2", ... "gad7"- Previous anxiety diagnosis: "previous_anxiety_diagnosis"- Previous medical treatment for anxiety: "previous_anxiety_treatment" - Epworth Sleepiness Scale: "epworth1", "epworth2", ..."epworth9".- Self reported usual bed time (going to sleep): "bed_time"- Self reported usual wake up time: "wake_up_time"- Self reported night sleep hours: "reported_sleep_hours"- Self reported number of times for taking naps in a week: "times_week_nap"- Self reported usual duration of such naps: "nap_duration"- Self reported number of extra-school weekly hours dedicated to studying: "weekly_study_hours"- Self reported grade point average (1.0-10.0) to date: "grades"<br><b>References:</b> <strong>PHQ-9:</strong> Adewuya AO, Ola BA, Afolabi OO. Validity of the patient health questionnaire (PHQ-9) as a screening tool for depression amongst Nigerian university students. J Affect Disord. 2006;96:89- 93. <strong>GAD-7:</strong> Garcia-Campayo J, Zamorano E, Ruiz MA et al. Cultural adaptation into Spanish of the generalized anxiety disorder-7 (GAD-7) scale as a screening tool. Health and Quality of Life Outcomes. 2010;8. The GAD-7 scale was accurate for diagnosing generalised anxiety disorder. Spitzer RL, Kroenke K, Williams JB, et al. A brief measure for assessing generalised anxiety disorder: the GAD-7. Arch Intern Med 2006;166:1092–7. <strong>Epworth Sleepiness Scale: </strong>Johns, Murray W. "A new method for measuring daytime sleepiness: the Epworth sleepiness scale." sleep 14.6 (1991): 540-545. Campos-Morales, Rosa M., et al. "Sleepiness, performance and mood state in a group of Mexican undergraduate students." Biological rhythm research 36.1-2 (2005): 9-13.
DOI: 10.6084/m9.figshare.1305815
title: PACMAN deployment July 2013

description: Four low-cost sensor packages developed by NIWA, were deployed between Wednesday 10th and Wednesday 17th of July 2013. One in the kitchen,one in a bedroom, one in the lounge and one over the main heating source of the occupied home of a volunteer in Auckland, New Zealand. The headers in the data represent: <strong>Date_octave</strong>: Fractional day as obtained by <strong>datenum</strong> in GNU Octave. <strong>Count</strong>: Record number within individual raw data files. <strong>Year, Month, Day, Hour, Minute, Second</strong>: NZST local time. <strong>Distance</strong>: Raw output from the PACMAN's range finder [mV] <strong>Temperature_mV</strong>: Tempearture as reported by the sensor outside the enclosure [C]. <strong>Temperature_IN_C</strong>: Temperature as reported by the internal real time clock [C]. <strong>PM_mV</strong>: Raw output from the PACMAN's dust sensor [mV]. <strong>CO2_mV</strong>: Raw output from the PACMAN's CO2 sensor [mV]. <strong>CO_mV</strong>: Raw output from the PACMAN's CO sensor [mV] <strong>Movement</strong>: Binary indicator of movement in the preceeding second [-] <strong>COstatus</strong>: Indicator of the heating setting of the CO sensor. 1=HIGH;2=LOW. <strong>COvalid</strong>: Indicator of the valid state of the CO reading. 1=Valid reading; 0=Not valid reading.
DOI: 10.6084/m9.figshare.1305815.v1
title: PACMAN deployment July 2013

description: Four low-cost sensor packages developed by NIWA, were deployed between Wednesday 10th and Wednesday 17th of July 2013. One in the kitchen,one in a bedroom, one in the lounge and one over the main heating source of the occupied home of a volunteer in Auckland, New Zealand. The headers in the data represent: <strong>Date_octave</strong>: Fractional day as obtained by <strong>datenum</strong> in GNU Octave. <strong>Count</strong>: Record number within individual raw data files. <strong>Year, Month, Day, Hour, Minute, Second</strong>: NZST local time. <strong>Distance</strong>: Raw output from the PACMAN's range finder [mV] <strong>Temperature_mV</strong>: Tempearture as reported by the sensor outside the enclosure [C]. <strong>Temperature_IN_C</strong>: Temperature as reported by the internal real time clock [C]. <strong>PM_mV</strong>: Raw output from the PACMAN's dust sensor [mV]. <strong>CO2_mV</strong>: Raw output from the PACMAN's CO2 sensor [mV]. <strong>CO_mV</strong>: Raw output from the PACMAN's CO sensor [mV] <strong>Movement</strong>: Binary indicator of movement in the preceeding second [-] <strong>COstatus</strong>: Indicator of the heating setting of the CO sensor. 1=HIGH;2=LOW. <strong>COvalid</strong>: Indicator of the valid state of the CO reading. 1=Valid reading; 0=Not valid reading.
DOI: 10.6084/m9.figshare.1305817.v1
title: PHQ-9, GAD-7 and Epworth Sleepiness Scale Scores of 783 Mexican Medical Students

description: <strong>Sample description</strong> We randomly selected 1200 of 4520 medical students from a private Mexican university. 783 Medical students agreed to participate (65.3% response). <strong>Variables</strong> - PHQ-9: "phq1", "phq2", ... "phq9" - GAD-7: "gad1", "gad2", ... "gad7" - Epworth Sleepiness Scale: "epworth1", "epworth2", ..."epworth9". - Height in meters: "height" - Weight in kg: "weight" - Previous depression diagnosis: "prev_depression_dx" - Previous medical treatment for depression: "prev_depression_rx" - Previous anxiety diagnosis: "prev_anxiety_dx" - Previous medical treatment for anxiety: "prev_anxiety_rx" <strong>PHQ-9:</strong> Adewuya AO, Ola BA, Afolabi OO. Validity of the patient health questionnaire (PHQ-9) as a screening tool for depression amongst Nigerian university students. J Affect Disord. 2006;96:89- 93. <strong>GAD-7:</strong> Garcia-Campayo J, Zamorano E, Ruiz MA et al. Cultural adaptation into Spanish of the generalized anxiety disorder-7 (GAD-7) scale as a screening tool. Health and Quality of Life Outcomes. 2010;8. The GAD-7 scale was accurate for diagnosing generalised anxiety disorder. Spitzer RL, Kroenke K, Williams JB, et al. A brief measure for assessing generalised anxiety disorder: the GAD-7. Arch Intern Med 2006;166:1092–7. <strong>Epworth Sleepiness Scale: </strong>Johns, Murray W. "A new method for measuring daytime sleepiness: the Epworth sleepiness scale." sleep 14.6 (1991): 540-545. Campos-Morales, Rosa M., et al. "Sleepiness, performance and mood state in a group of Mexican undergraduate students." Biological rhythm research 36.1-2 (2005): 9-13.
DOI: 10.6084/m9.figshare.1305786
title: Self-reported Occupational Exposures Relevant for Cancer among 28,000 Offshore Oil Industry Workers Employed between 1965 and 1999

description: The objective of this study was to examine self-reported frequency of occupational exposure reported by 28,000 Norwegian offshore oil workers in a 1998 survey. Predictors of self-reported exposure frequency were identified to aid future refinements of an expert-based job-exposure-time matrix (JEM). We focus here on reported frequencies for skin contact with oil and diesel; exposure to oil vapor from shaker, to exhaust fumes, vapor from mixing chemicals used for drilling, natural gas, chemicals used for water injection and processing, and to solvent vapor. Exposure frequency was reported by participants as the exposed proportion of the work shift, defined by six categories, in their current or last position offshore (between 1965 and 1999). Binary Poisson regression models with robust variance were used to examine the probabilities of reporting frequent exposure (≥¼ vs.
DOI: 10.6084/m9.figshare.1305786.v1
title: Self-reported Occupational Exposures Relevant for Cancer among 28,000 Offshore Oil Industry Workers Employed between 1965 and 1999

description: ABSTRACTThe objective of this study was to examine self-reported frequency of occupational exposure reported by 28,000 Norwegian offshore oil workers in a 1998 survey. Predictors of self-reported exposure frequency were identified to aid future refinements of an expert-based job-exposure-time matrix (JEM). We focus here on reported frequencies for skin contact with oil and diesel, exposure to oil vapor from shaker, to exhaust fumes, vapor from mixing chemicals used for drilling, natural gas, chemicals used for water injection and processing, and to solvent vapor. Exposure frequency was reported by participants as the exposed proportion of the work shift, defined by six categories, in their current or last position offshore (between 1965 and 1999). Binary Poisson regression models with robust variance were used to examine the probabilities of reporting frequent exposure (≥¼ vs.
DOI: 10.6084/m9.figshare.1305776
title: Molecular docking and dynamic simulation studies evidenced plausible immunotherapeutic anticancer property by Withaferin A targeting indoleamine 2,3-dioxygenase

description: Indoleamine 2,3-dioxygenase (IDO) is emerging as an important new therapeutic drug target for the treatment of cancer characterized by pathological immune suppression. IDO catalyzes the rate-limiting step of tryptophan degradation along the kynurenine pathway. Reduction in local tryptophan concentration and the production of immunomodulatory tryptophan metabolites contribute to the immunosuppressive effects of IDO. Presence of IDO on dentritic cells in tumor-draining lymph nodes leading to the activation of T cells toward forming immunosuppressive microenvironment for the survival of tumor cells has confirmed the importance of IDO as a promising novel anticancer immunotherapy drug target. On the other hand, Withaferin A (WA) – active constituent of <i>Withania Somnifera</i> ayurvedic herb has shown to be having a wide range of targeted anticancer properties. In the present study conducted here is an attempt to explore the potential of WA in attenuating IDO for immunotherapeutic tumor arresting activity and to elucidate the underlying mode of action in a computational approach. Our docking and molecular dynamic simulation results predict high binding affinity of the ligand to the receptor with up to −11.51 kcal/mol of energy and 3.63 nM of IC50 value. Further, <i>de novo</i> molecular dynamic simulations predicted stable ligand interactions with critically important residues SER167; ARG231; LYS377, and heme moiety involved in IDO’s activity. Conclusively, our results strongly suggest WA as a valuable small ligand molecule with strong binding affinity toward IDO.
DOI: 10.6084/m9.figshare.1305775
title: ANTsR data

description: ANTsR test data
DOI: 10.6084/m9.figshare.1305776.v1
title: Molecular docking and dynamic simulation studies evidenced plausible immunotherapeutic anticancer property by Withaferin A targeting indoleamine 2,3-dioxygenase

description: Indoleamine 2,3-dioxygenase (IDO) is emerging as an important new therapeutic drug target for the treatment of cancer characterized by pathological immune suppression. IDO catalyzes the rate-limiting step of tryptophan degradation along the kynurenine pathway. Reduction in local tryptophan concentration and the production of immunomodulatory tryptophan metabolites contribute to the immunosuppressive effects of IDO. Presence of IDO on dentritic cells in tumor-draining lymph nodes leading to the activation of T cells toward forming immunosuppressive microenvironment for the survival of tumor cells has confirmed the importance of IDO as a promising novel anticancer immunotherapy drug target. On the other hand, Withaferin A (WA) – active constituent of <i>Withania Somnifera</i> ayurvedic herb has shown to be having a wide range of targeted anticancer properties. In the present study conducted here is an attempt to explore the potential of WA in attenuating IDO for immunotherapeutic tumor arresting activity and to elucidate the underlying mode of action in a computational approach. Our docking and molecular dynamic simulation results predict high binding affinity of the ligand to the receptor with up to −11.51 kcal/mol of energy and 3.63 nM of IC50 value. Further, <i>de novo</i> molecular dynamic simulations predicted stable ligand interactions with critically important residues SER167; ARG231; LYS377, and heme moiety involved in IDO’s activity. Conclusively, our results strongly suggest WA as a valuable small ligand molecule with strong binding affinity toward IDO.
DOI: 10.6084/m9.figshare.1305774
title: 100_T_T 2

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305775.v1
title: ANTsR data

description: ANTsR test data
DOI: 10.6084/m9.figshare.1305773
title: 100_T_T 1

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305786.v2
title: Self-reported Occupational Exposures Relevant for Cancer among 28,000 Offshore Oil Industry Workers Employed between 1965 and 1999

description: The objective of this study was to examine self-reported frequency of occupational exposure reported by 28,000 Norwegian offshore oil workers in a 1998 survey. Predictors of self-reported exposure frequency were identified to aid future refinements of an expert-based job-exposure-time matrix (JEM). We focus here on reported frequencies for skin contact with oil and diesel; exposure to oil vapor from shaker, to exhaust fumes, vapor from mixing chemicals used for drilling, natural gas, chemicals used for water injection and processing, and to solvent vapor. Exposure frequency was reported by participants as the exposed proportion of the work shift, defined by six categories, in their current or last position offshore (between 1965 and 1999). Binary Poisson regression models with robust variance were used to examine the probabilities of reporting frequent exposure (≥¼ vs.
DOI: 10.6084/m9.figshare.1305774.v1
title: 100_T_T 2

description: Archive with graphs.
DOI: 10.6084/m9.figshare.1305769
title: In-order incremental Vietoris-Rips construction

description: Timing and growth rate data, as well as python scripts with a reference implementation and with testing functionality for the in-order incremental Vietoris-Rips constructions as proposed in Vejdemo-Johansson and Skraba: <em>Vietoris-Rips and persistent homology of streaming data</em> (2015).
DOI: 10.6084/m9.figshare.1305770
title: Wikipedia Clickstream

description: This project contains data sets containing counts of (referer, resource) pairs extracted from the request logs of Wikipedia. A referer is an HTTP header field that identifies the address of the webpage that linked to the resource being requested. The data shows how people get to a Wikipedia article and what links they click on. In other words, it gives a weighted network of articles, where each edge weight corresponds to how often people navigate from one page to another. For more information and documentation, see the link in the references section below.
DOI: 10.6084/m9.figshare.1305786.v4
title: Self-reported Occupational Exposures Relevant for Cancer among 28,000 Offshore Oil Industry Workers Employed between 1965 and 1999

description: The objective of this study was to examine self-reported frequency of occupational exposure reported by 28,000 Norwegian offshore oil workers in a 1998 survey. Predictors of self-reported exposure frequency were identified to aid future refinements of an expert-based job-exposure-time matrix (JEM). We focus here on reported frequencies for skin contact with oil and diesel; exposure to oil vapor from shaker, to exhaust fumes, vapor from mixing chemicals used for drilling, natural gas, chemicals used for water injection and processing, and to solvent vapor. Exposure frequency was reported by participants as the exposed proportion of the work shift, defined by six categories, in their current or last position offshore (between 1965 and 1999). Binary Poisson regression models with robust variance were used to examine the probabilities of reporting frequent exposure (≥¼ vs.
DOI: 10.6084/m9.figshare.1305762
title: MesoWest Climate data 2012 Bearden Knob Station (BDKW2)

description: Station data downloaded from http://mesowest.utah.edu/ for the Bearden Knob Weather Station (BDKW2) for calander year 2012 http://mesowest.utah.edu/html/help/main_index.html#usage Column descriptions and units: DATETIME – date (mm/dd/yyyy) with time (hh:mm) TEMP – air temperature in degrees Celsius RELH – Relative humidity (%) WIND – hourly wind speed (m/s) GUST – peak wind speed gust during hour (m/s) DIR – wind speed direction (compass degrees) QFLG – Quality of data (OK = good to use; CAUTION = examine for incongruity) SOLAR – Incoming solar radiation (w/m^2) PRECIPcum – cumulative precipitation (cm) PRECIP – precip during past hour (cm) PEAK – duplicate column of max wind gust (m/s) PEAKDIR – direction of PEAK and GUST columns (compass degrees) DWP – dew point (degrees Celsius)
DOI: 10.6084/m9.figshare.1305761
title: MesoWest Climate data 2011 Bearden Knob Station (BDKW2)

description: Station data downloaded from http://mesowest.utah.edu/ for the Bearden Knob Weather Station (BDKW2) http://mesowest.utah.edu/html/help/main_index.html#usage Column descriptions and units: DATETIME – date (mm/dd/yyyy) with time (hh:mm) TEMP – air temperature in degrees Celsius RELH – Relative humidity (%) WIND – hourly wind speed (m/s) GUST – peak wind speed gust during hour (m/s) DIR – wind speed direction (compass degrees) QFLG – Quality of data (OK = good to use; CAUTION = examine for incongruity) SOLAR – Incoming solar radiation (w/m^2) PRECIPcum – cumulative precipitation (cm) PRECIP – precip during past hour (cm) PEAK – duplicate column of max wind gust (m/s) PEAKDIR – direction of PEAK and GUST columns (compass degrees) DWP – dew point (degrees Celsius)
DOI: 10.6084/m9.figshare.1305786.v3
title: Self-reported Occupational Exposures Relevant for Cancer among 28,000 Offshore Oil Industry Workers Employed between 1965 and 1999

description: The objective of this study was to examine self-reported frequency of occupational exposure reported by 28,000 Norwegian offshore oil workers in a 1998 survey. Predictors of self-reported exposure frequency were identified to aid future refinements of an expert-based job-exposure-time matrix (JEM). We focus here on reported frequencies for skin contact with oil and diesel; exposure to oil vapor from shaker, to exhaust fumes, vapor from mixing chemicals used for drilling, natural gas, chemicals used for water injection and processing, and to solvent vapor. Exposure frequency was reported by participants as the exposed proportion of the work shift, defined by six categories, in their current or last position offshore (between 1965 and 1999). Binary Poisson regression models with robust variance were used to examine the probabilities of reporting frequent exposure (≥¼ vs.
DOI: 10.6084/m9.figshare.1305761.v2
title: MesoWest Climate data 2011 Bearden Knob Station (BDKW2)

description: Station data downloaded from http://mesowest.utah.edu/ for the Bearden Knob Weather Station (BDKW2) http://mesowest.utah.edu/html/help/main_index.html#usage Column descriptions and units: DATETIME – date (mm/dd/yyyy) with time (hh:mm) TEMP – air temperature in degrees Celsius RELH – Relative humidity (%) WIND – hourly wind speed (m/s) GUST – peak wind speed gust during hour (m/s) DIR – wind speed direction (compass degrees) QFLG – Quality of data (OK = good to use; CAUTION = examine for incongruity) SOLAR – Incoming solar radiation (w/m^2) PRECIPcum – cumulative precipitation (cm) PRECIP – precip during past hour (cm) PEAK – duplicate column of max wind gust (m/s) PEAKDIR – direction of PEAK and GUST columns (compass degrees) DWP – dew point (degrees Celsius)
DOI: 10.6084/m9.figshare.1305761.v1
title: MesoWest Climate data 2011 Bearden Knob Station (BDKW)

description: Station data downloaded from http://mesowest.utah.edu/ for the Bearden Knob Weather Station (BDKW2) http://mesowest.utah.edu/html/help/main_index.html#usage Column descriptions and units: DATETIME – date (mm/dd/yyyy) with time (hh:mm) TEMP – air temperature in degrees Celsius RELH – Relative humidity (%) WIND – hourly wind speed (m/s) GUST – peak wind speed gust during hour (m/s) DIR – wind speed direction (compass degrees) QFLG – Quality of data (OK = good to use; CAUTION = examine for incongruity) SOLAR – Incoming solar radiation (w/m^2) PRECIPcum – cumulative precipitation (cm) PRECIP – precip during past hour (cm) PEAK – duplicate column of max wind gust (m/s) PEAKDIR – direction of PEAK and GUST columns (compass degrees) DWP – dew point (degrees Celsius)
DOI: 10.6084/m9.figshare.1305762.v2
title: MesoWest Climate data 2012 Bearden Knob Station (BDKW2)

description: Station data downloaded from http://mesowest.utah.edu/ for the Bearden Knob Weather Station (BDKW2) for calander year 2012 http://mesowest.utah.edu/html/help/main_index.html#usage Column descriptions and units: DATETIME – date (mm/dd/yyyy) with time (hh:mm) TEMP – air temperature in degrees Celsius RELH – Relative humidity (%) WIND – hourly wind speed (m/s) GUST – peak wind speed gust during hour (m/s) DIR – wind speed direction (compass degrees) QFLG – Quality of data (OK = good to use; CAUTION = examine for incongruity) SOLAR – Incoming solar radiation (w/m^2) PRECIPcum – cumulative precipitation (cm) PRECIP – precip during past hour (cm) PEAK – duplicate column of max wind gust (m/s) PEAKDIR – direction of PEAK and GUST columns (compass degrees) DWP – dew point (degrees Celsius)