cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20917264.v2
title: ANTROPOMETRIC INDECES AS POTENTIAL PREDICTORS OF CARDIOMETABOLIC RISK FACTORS IN COLLEGE STUDENTS.

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.6084/m9.figshare.20917264
title: ANTROPOMETRIC INDECES AS POTENTIAL PREDICTORS OF CARDIOMETABOLIC RISK FACTORS IN COLLEGE STUDENTS.

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.6084/m9.figshare.20917264.v1
title: ANTROPOMETRIC INDECES AS POTENTIAL PREDICTORS OF CARDIOMETABOLIC RISK FACTORS IN COLLEGE STUDENTS.

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.5281/zenodo.6503224
title: High resolution soil moisture and soil temperature data during Hurricane Florence, 2018, over the Carolina region (U.S.)

description: We set the study domain over the U.S. east coast to cover the Carolinas and the regions that were affected by Hurricane Florence. Therefore, the selected domain covered the area between -86º to -75º longitude and 30º to 40º latitude. We should note that Hurricane Florence made landfall in the Carolinas on September 14, 2018, as a Category 1 storm. Hurricane reports indicate that “Hurricane Florence made landfall near Wrightsville Beach, North Carolina at 7:15 AM EDT (1115 UTC) on September 14 with estimated maximum winds of 90 mph (150 km/h), and a minimum central pressure estimate of 958 millibars. Winds gusts topping 105 mph (169 km/h) were reported in the Outer Banks of North Carolina.” Rainfall from Florence, as per the initial reports, suggest possible new records for North Carolina (breaking the record set by Hurricane Floyd in 1999). we used the latest development of the high-resolution land surface assimilation system (HRLDAS) that was retrieved from the Github repository (https://github.com/NCAR/hrldas-release). The model was coupled to the Noah land surface modeling system and used the multi-layer soil model, complex canopy resistance with the Penman method for calculating evapotranspiration, and frozen ground physics for the simulations. The atmospheric forcing including 2-meter air temperature, shortwave, and long-wave radiation, 2-meter wind speed, 2-meter specific humidity, and surface pressure data was obtained from the NCEP-DOE Reanalysis 2 (available from psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html). For the precipitation, we used the high-resolution GCIP/EOP surface precipitation NCEP/EMC gridded data (Stage IV) with 4 km of grid spacing. All the forcing data have been retrieved at an hourly frequency from 2016 to 2019. The model was configured with the initial soil moisture and soil temperature conditions at 4 depths (0-10, 10-40, 40-100, 100-200 cm), retrieved from the NCEP data. Other initialization fields including skin temperature and water equivalent snow depth were retrieved from NCEP. The NCEP reanalysis data, however, does not provide “plant canopy surface water” data which is required as an initialization field. This data was retrieved from the NLDAS dataset. The first two years of the model run (2016 and 2017) were considered as the spin-up, and the outcome during 2018 was used for further analysis and public release.
description: The authors acknowledge the financial support provided by the SERB - Purdue OVDF program (SB/S9/Z-03/2017); National Science Foundation AGS-1522492 and AGS-1902642; Department of Science & Technology (SPLICE – Climate Change Programme).
DOI: 10.5281/zenodo.6503225
title: High resolution soil moisture and soil temperature data during Hurricane Florence, 2018, over the Carolina region (U.S.)

description: We set the study domain over the U.S. east coast to cover the Carolinas and the regions that were affected by Hurricane Florence. Therefore, the selected domain covered the area between -86º to -75º longitude and 30º to 40º latitude. We should note that Hurricane Florence made landfall in the Carolinas on September 14, 2018, as a Category 1 storm. Hurricane reports indicate that “Hurricane Florence made landfall near Wrightsville Beach, North Carolina at 7:15 AM EDT (1115 UTC) on September 14 with estimated maximum winds of 90 mph (150 km/h), and a minimum central pressure estimate of 958 millibars. Winds gusts topping 105 mph (169 km/h) were reported in the Outer Banks of North Carolina.” Rainfall from Florence, as per the initial reports, suggest possible new records for North Carolina (breaking the record set by Hurricane Floyd in 1999). we used the latest development of the high-resolution land surface assimilation system (HRLDAS) that was retrieved from the Github repository (https://github.com/NCAR/hrldas-release). The model was coupled to the Noah land surface modeling system and used the multi-layer soil model, complex canopy resistance with the Penman method for calculating evapotranspiration, and frozen ground physics for the simulations. The atmospheric forcing including 2-meter air temperature, shortwave, and long-wave radiation, 2-meter wind speed, 2-meter specific humidity, and surface pressure data was obtained from the NCEP-DOE Reanalysis 2 (available from psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html). For the precipitation, we used the high-resolution GCIP/EOP surface precipitation NCEP/EMC gridded data (Stage IV) with 4 km of grid spacing. All the forcing data have been retrieved at an hourly frequency from 2016 to 2019. The model was configured with the initial soil moisture and soil temperature conditions at 4 depths (0-10, 10-40, 40-100, 100-200 cm), retrieved from the NCEP data. Other initialization fields including skin temperature and water equivalent snow depth were retrieved from NCEP. The NCEP reanalysis data, however, does not provide “plant canopy surface water” data which is required as an initialization field. This data was retrieved from the NLDAS dataset. The first two years of the model run (2016 and 2017) were considered as the spin-up, and the outcome during 2018 was used for further analysis and public release.
description: The authors acknowledge the financial support provided by the SERB - Purdue OVDF program (SB/S9/Z-03/2017); National Science Foundation AGS-1522492 and AGS-1902642; Department of Science & Technology (SPLICE – Climate Change Programme).
DOI: 10.34740/kaggle/dsv/4161173
title: OntoUML/UFO Catalog
DOI: 10.3886/e179221
title: Survey Question Wording Effects

description: Survey researchers have long known that the terms used in questions posed to respondents shape the answers they give. Processes underlying these differences have generally been attributed to differences in respondents’ interpretations of the questions, though it is also possible that some of this difference may stem from respondents’ ability to parse what the questions are asking about. In three online survey experiments we manipulate wordings for policy attitude questions about the DREAM Act, Trump’s trade disputes, and the Affordable Care Act. Different wordings for these issues solicited different attitudes overall as well as across partisan groups. To understand the source of these differences, we examine the sensitivity of wording effects to respondent partisanship as well as awareness of topically relevant information. A simulation approach estimating each individual’s “informed response” allows us to disentangle question wording differences due to incomplete understandings (and misunderstandings) from those attributable to partisan bias. Evidence that individuals with greater topic knowledge better recognize the similarity of different wordings implies that some of the wording effect is associated with whether respondents understand what questions mean. When we attribute the proportion of the wording difference attributable to awareness as opposed to partisan bias, we find that the influence of each of these factors varies across the issues we examine.
DOI: 10.3886/e179221v1
title: Survey Question Wording Effects

description: Survey researchers have long known that the terms used in questions posed to respondents shape the answers they give. Processes underlying these differences have generally been attributed to differences in respondents’ interpretations of the questions, though it is also possible that some of this difference may stem from respondents’ ability to parse what the questions are asking about. In three online survey experiments we manipulate wordings for policy attitude questions about the DREAM Act, Trump’s trade disputes, and the Affordable Care Act. Different wordings for these issues solicited different attitudes overall as well as across partisan groups. To understand the source of these differences, we examine the sensitivity of wording effects to respondent partisanship as well as awareness of topically relevant information. A simulation approach estimating each individual’s “informed response” allows us to disentangle question wording differences due to incomplete understandings (and misunderstandings) from those attributable to partisan bias. Evidence that individuals with greater topic knowledge better recognize the similarity of different wordings implies that some of the wording effect is associated with whether respondents understand what questions mean. When we attribute the proportion of the wording difference attributable to awareness as opposed to partisan bias, we find that the influence of each of these factors varies across the issues we examine.
DOI: 10.34740/kaggle/dsv/4161217
title: BBC News
DOI: 10.34740/kaggle/dsv/4161246
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.6084/m9.figshare.20659710.v1
title: Electronic Supplementary Material 5. from Predator responses to prey camouflage strategies: a meta-analysis

description: Data and list of articles about Attack rate variable used both in global and in moderator analysis. Data and Pearson correlation between Search time and Attack rate.
DOI: 10.6084/m9.figshare.20659725
title: Electronic Supplementary Material 5. from Predator responses to prey camouflage strategies: a meta-analysis

description: Data and list of articles about Attack rate variable used both in global and in moderator analysis. Data and Pearson correlation between Search time and Attack rate.
DOI: 10.6084/m9.figshare.20659725.v1
title: Electronic Supplementary Material 5. from Predator responses to prey camouflage strategies: a meta-analysis

description: Data and list of articles about Attack rate variable used both in global and in moderator analysis. Data and Pearson correlation between Search time and Attack rate.
DOI: 10.6084/m9.figshare.20659728
title: Electronic Supplementary Material 4. from Predator responses to prey camouflage strategies: a meta-analysis

description: R. code. Script with codes necessary to analyse the data.; Data and list of articles about Search time variable used both in global and in moderator analysis.
DOI: 10.6084/m9.figshare.20659710
title: Electronic Supplementary Material 5. from Predator responses to prey camouflage strategies: a meta-analysis

description: Data and list of articles about Attack rate variable used both in global and in moderator analysis. Data and Pearson correlation between Search time and Attack rate.
DOI: 10.6084/m9.figshare.20659722.v1
title: Electronic Supplementary Material 2. from Predator responses to prey camouflage strategies: a meta-analysis

description: Table S1-A: Studies included in the final meta-analysis of the search time and attack rate variables on camouflage strategies.; Table S1-B: Studies excluded from the final meta-analysis of the search time and attack rate variables on camouflage strategies
DOI: 10.6084/m9.figshare.20659722
title: Electronic Supplementary Material 2. from Predator responses to prey camouflage strategies: a meta-analysis

description: Table S1-A: Studies included in the final meta-analysis of the search time and attack rate variables on camouflage strategies.; Table S1-B: Studies excluded from the final meta-analysis of the search time and attack rate variables on camouflage strategies
DOI: 10.6084/m9.figshare.20659728.v1
title: Electronic Supplementary Material 4. from Predator responses to prey camouflage strategies: a meta-analysis

description: R. code. Script with codes necessary to analyse the data.; Data and list of articles about Search time variable used both in global and in moderator analysis.
DOI: 10.6084/m9.figshare.20658333
title: Table S2 from Levers of change: using mathematical models to compare gender equity interventions in universities

description: Summary data of statistical analysis of data variation with time
DOI: 10.6084/m9.figshare.20658333.v1
title: Table S2 from Levers of change: using mathematical models to compare gender equity interventions in universities

description: Summary data of statistical analysis of data variation with time
DOI: 10.6084/m9.figshare.20658336
title: Table S1 from Levers of change: using mathematical models to compare gender equity interventions in universities

description: Number of individuals at each university by rank and research activity level
DOI: 10.6084/m9.figshare.20658336.v1
title: Table S1 from Levers of change: using mathematical models to compare gender equity interventions in universities

description: Number of individuals at each university by rank and research activity level
DOI: 10.21227/34a5-jq14
title: MarsData-V2, a rock segmentation dataset of real Martian scenes

description: We release MarsData-V2, a rock segmentation dataset of real Martian scenes for the training of deep networks, extended from our previously published MarsData. The raw unlabeled RGB images of MarsData-V2 are from here, which were collected by a Mastcam camera of the Curiosity rover on Mars between August 2012 and November 2018. After sorting out images with an opportune shooting distance, labeling Mars rocks with fine-grained boundaries, and performing data augmentation referring to an earlier paper, we obtained 8390 labeled images with a resolution of 512 × 512, and divided them into 5040 images for training, 1680 for validation and 1670 for testing. Limited by the file size, we temporarily release 100 samples in the train, validation and test set of MarsData-V2, respectively. All samples will be provided after our paper is made public.
DOI: 10.25505/fiz.icsd.cc2d023m
title: CSD 2204599: Experimental Crystal Structure Determination

description: Related Article: Yun Gong|2022|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20919970
title: SABC 3 and eTV prime time news reports on 16 Days of activism for no violence against women and children (November 25, 2020 - December 10, 2020)

description: The data collected was 32 English-language prime time news bulletins aired on SABC 3 and eTV between November 25, 2020, and December 10, 2020, both dates inclusive. These dates coincided with the start and end of the 16 days of activism for no violence against women and children campaign.
DOI: 10.6084/m9.figshare.20919970.v1
title: SABC 3 and eTV prime time news reports on 16 Days of activism for no violence against women and children (November 25, 2020 - December 10, 2020)

description: The data collected was 32 English-language prime time news bulletins aired on SABC 3 and eTV between November 25, 2020, and December 10, 2020, both dates inclusive. These dates coincided with the start and end of the 16 days of activism for no violence against women and children campaign.
DOI: 10.6084/m9.figshare.20920459
title: data.csv from Boldness predicts divorce rates in wandering albatrosses (<i>Diomedea exulans</i>)

description: Data used in the study
DOI: 10.6084/m9.figshare.20920459.v1
title: data.csv from Boldness predicts divorce rates in wandering albatrosses (<i>Diomedea exulans</i>)

description: Data used in the study