cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4063703
title: Multidisciplinary Integrated Metabolic Rehabilitation in Elderly Obese Patients: Effects on Cardiovascular Risk Factors, Fatigue and Muscle Performance

description: Background: Obesity is a widespread problem in the elderly, being associated with severe comorbidities negatively influencing life expectancy. Integrated multidisciplinary metabolic rehabilitation aimed to reduce body weight (BW) and fatigue, increase physical autonomy and introduce healthy life style changes has been proposed as a useful intervention to improve the general health status and quality of life of the obese geriatric population. Methods: Six hundred-eighty four severely obese subjects (F/M = 592/92; age range: 61–83 years; mean body mass index, BMI ± SD: 42.6 ± 5.6 kg/m2 ) were admitted to take part in a three-week in-hospital BW reduction program (BWRP), entailing energy restricted diet, psychological counselling, physical rehabilitation and nutritional education. Biochemical parameters, cardiovascular risk factors (throughout the Coronary Heart Disease Risk, CHD-R), fatigue (throughout the Fatigue Severity Scale, FSS) and lower limb muscle performance (throughout the Stair Climbing Test, SCT) were evaluated before and at the end of the BWRP. Results: A 4% BW reduction was achieved at the end of the BWRP. This finding was associated with a significant improvement of the metabolic homeostasis (i.e., decrease in total cholesterol and glucose) and a reduction of systolic blood pressure in both females and males, thus resulting in a reduction of CHD-R in the male group. Total FSS score and SCT time decreased in female and male obese patients. The effects of BWPR were comparable among all age-related subgroups (&gt;60, 60–69 and &gt;70 years), apart from ∆CHD-R, which was higher in male subgroups. Finally, age was negatively correlated with ∆BMI and ∆FSS. Conclusions: Though only a relatively limited number of outcomes were investigated, the present study shows that a 4% BW reduction in severely elderly obese patients is associated with positive multisystemic effects, particularly, muscle-skeletal and cardiometabolic benefits, which can favorably influence their general well-being and improve the autonomy level in performing more common daily activities. The maintenance of a healthy life style, including controlled food intake and regular physical activity, after a BWRP is obviously recommended in all elderly obese patients to further improve their clinical condition.
DOI: 10.5281/zenodo.4063710
title: Indexes of adiposity and body composition in the prediction of metabolic syndrome in obese children and adolescents: Which is the best?

description: Background and aim There is no agreement about which index of adiposity and/or body composition is the most accurate in identifying the metabolic syndrome (METS). The aim of our study was to compare the accuracy of the different indexes in order to recognize the most reliable. Methods and results We evaluated 1332 obese children and adolescents (778 females and 554 males), aged 14.4 ± 1.8 yrs, Body Mass Index (BMI) standard deviation scores (SDS) 2.99 ± 0.55, followed at the Istituto Auxologico Italiano, a tertiary center for childhood obesity. For each subject the following indexes were assessed: BMI, BMI SDS, Fat-Free Mass Index (FFMI), Fat Mass Index (FMI), Tri-Ponderal Mass Index (TMI), Waist-to-Height ratio (WtHR) and a new one, the Body Mass Fat Index (BMFI), which normalizes the BMI for percentage of body fat and the waist circumference. Thereafter we calculated for each index a threshold value for age and sex, in order to compare their accuracy, sensitivity and specificity in identifying the METS. There was a good correlation among indexes (p &lt; 0.0001 for all). However, when the area under the curve (AUC) was compared, some of them, in particular the BMFI and the BMI, performed better than the other ones, although the differences were small. Conclusions BMI, which neither considers body composition nor fat distribution, performs as good as other indexes, and should therefore be the preferred one, also because of the easiness of its calculation.
DOI: 10.5281/zenodo.4063709
title: Indexes of adiposity and body composition in the prediction of metabolic syndrome in obese children and adolescents: Which is the best?

description: Background and aim There is no agreement about which index of adiposity and/or body composition is the most accurate in identifying the metabolic syndrome (METS). The aim of our study was to compare the accuracy of the different indexes in order to recognize the most reliable. Methods and results We evaluated 1332 obese children and adolescents (778 females and 554 males), aged 14.4 ± 1.8 yrs, Body Mass Index (BMI) standard deviation scores (SDS) 2.99 ± 0.55, followed at the Istituto Auxologico Italiano, a tertiary center for childhood obesity. For each subject the following indexes were assessed: BMI, BMI SDS, Fat-Free Mass Index (FFMI), Fat Mass Index (FMI), Tri-Ponderal Mass Index (TMI), Waist-to-Height ratio (WtHR) and a new one, the Body Mass Fat Index (BMFI), which normalizes the BMI for percentage of body fat and the waist circumference. Thereafter we calculated for each index a threshold value for age and sex, in order to compare their accuracy, sensitivity and specificity in identifying the METS. There was a good correlation among indexes (p &lt; 0.0001 for all). However, when the area under the curve (AUC) was compared, some of them, in particular the BMFI and the BMI, performed better than the other ones, although the differences were small. Conclusions BMI, which neither considers body composition nor fat distribution, performs as good as other indexes, and should therefore be the preferred one, also because of the easiness of its calculation.
DOI: 10.6084/m9.figshare.13042178
title: Data from a mixed methods exploratory case study of factors affecting the use of household water treatment chemicals following an outbreak of acute watery diarrhoea in Amhara, Ethiopia

description: This is a Barrier Analysis dataset. Barrier Analysis is a rapid assessment tool which is part of the Designing for Behaviour Change Framework. The Barrier Analysis approach is intended to be used in advance of designing a behaviour change programme. It allows programme designers to identify key barriers and determinants of behaviour which can then be used to develop strategies for behaviour change. This dataset captures the responses of 150 individuals in Sadie Muja, Amhara, Ethiopia, following an outbreak of acute watery diarrhoea. The behaviour of interest is consistent use of household water drinking chemicals.
DOI: 10.6084/m9.figshare.13042178.v1
title: Data from a mixed methods exploratory case study of factors affecting the use of household water treatment chemicals following an outbreak of acute watery diarrhoea in Amhara, Ethiopia

description: This is a Barrier Analysis dataset. Barrier Analysis is a rapid assessment tool which is part of the Designing for Behaviour Change Framework. The Barrier Analysis approach is intended to be used in advance of designing a behaviour change programme. It allows programme designers to identify key barriers and determinants of behaviour which can then be used to develop strategies for behaviour change. This dataset captures the responses of 150 individuals in Sadie Muja, Amhara, Ethiopia, following an outbreak of acute watery diarrhoea. The behaviour of interest is consistent use of household water drinking chemicals.
DOI: 10.5281/zenodo.4063716
title: Mathematical approach to the validation of surface texture form removal software

description: <pre>A new approach to the validation of surface texture form removal methods is introduced. A linear algebra technique is presented that obtains total least squares (TLS) model fits for a continuous mathematical surface definition. This model is applicable to both profile and areal form removal, and can be used for a range of form removal models including polynomial and spherical fits. The continuous TLS method enables the creation of mathematically traceable reference pairs suitable for the assessment of form removal algorithms in surface texture analysis software. Multiple example reference pairs are presented and used to assess the performance of four tested surface texture analysis software packages. The results of each software are compared against the mathematical reference, highlighting their strengths and weaknesses.</pre>
DOI: 10.5281/zenodo.4063156
title: Traces of Gradle and Make builds

description: This is the benchmark accompanied the OOPSlA'20 paper "A Model for Detecting Faults in Build Specification".
DOI: 10.5281/zenodo.4063715
title: Mathematical approach to the validation of surface texture form removal software

description: <pre>A new approach to the validation of surface texture form removal methods is introduced. A linear algebra technique is presented that obtains total least squares (TLS) model fits for a continuous mathematical surface definition. This model is applicable to both profile and areal form removal, and can be used for a range of form removal models including polynomial and spherical fits. The continuous TLS method enables the creation of mathematically traceable reference pairs suitable for the assessment of form removal algorithms in surface texture analysis software. Multiple example reference pairs are presented and used to assess the performance of four tested surface texture analysis software packages. The results of each software are compared against the mathematical reference, highlighting their strengths and weaknesses.</pre>
DOI: 10.5281/zenodo.4063155
title: Traces of Gradle and Make builds

description: This is the benchmark accompanied the OOPSlA'20 paper "A Model for Detecting Faults in Build Specification".
DOI: 10.5281/zenodo.4020314
title: Evidence for the in-situ generation of plasma depletion structures over the geomagnetic low-mid latitude transition region

description: Allsky airglow imager data (630.0 nm emission line) from Hanle, Leh Ladakh, India. New Delhi Ionosonde data Global ROTI data
DOI: 10.5281/zenodo.4020313
title: Evidence for the in-situ generation of plasma depletion structures over the geomagnetic low-mid latitude transition region

description: Allsky airglow imager data (630.0 nm emission line) from Hanle, Leh Ladakh, India. New Delhi Ionosonde data Global ROTI data
DOI: 10.5281/zenodo.4063740
title: herminiogg/shexml-paper-2019-data: First release of ShExML paper data

description: Data and examples about the ShExML paper testing the usability of first time users
DOI: 10.5281/zenodo.4063739
title: herminiogg/shexml-paper-2019-data: First release of ShExML paper data

description: Data and examples about the ShExML paper testing the usability of first time users
DOI: 10.7284/132838
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise KM1908 using a Hawaii UHDAS instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132843
title: Barometer data collected during research cruise KM1908 using a Vaisala PTB220 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132841
title: Fluorometer data collected during research cruise KM1908 using a WET Labs WETStar instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132842
title: Fluorometer data collected during research cruise KM1908 using a Turner 10-AU instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132839
title: Gravimeter data collected during research cruise KM1908 using a Bell BGM-3 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132840
title: Gyrocompass data collected during research cruise KM1908 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132836
title: INS (Inertial Navigation System) data collected during research cruise KM1908 using a Applanix POS/MV-320 V4 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132837
title: Meteorological Station data collected during research cruise KM1908 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132844
title: Meteorological Station data collected during research cruise KM1908 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/132845
title: Multibeam Echosounder data collected during research cruise KM1908 using a Kongsberg EM122 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132835
title: Speedlog data collected during research cruise KM1908 using a Yokogawa EML500FA2 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132834
title: SSV (Sound Speed Velocimeter) data collected during research cruise KM1908 using a AML SV&P instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132833
title: TSG (Thermosalinograph) data collected during research cruise KM1908 using a Sea-Bird SBE-45 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128319
title: INS (Inertial Navigation System) data collected during research cruise RR1720 using a iXSea Phins instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128324
title: INS (Inertial Navigation System) data collected during research cruise RR1720 using a Kongsberg Seapath 320+ instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128311
title: Meteorological Station data collected during research cruise RR1720 using a SIO MET-System instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128314
title: Multibeam Echosounder data collected during research cruise RR1720 using a Kongsberg EM122 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128326
title: Singlebeam Echosounder data collected during research cruise RR1720 using a Knudsen 3260 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128318
title: Winch data collected during research cruise RR1720 using a Markey DUTW-9-11 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128322
title: Winch data collected during research cruise RR1720 using a Markey DUSH-5 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128392
title: INS (Inertial Navigation System) data collected during research cruise RR1722 using a iXSea Phins instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128396
title: INS (Inertial Navigation System) data collected during research cruise RR1722 using a Kongsberg Seapath 320+ instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128384
title: Meteorological Station data collected during research cruise RR1722 using a SIO MET-System instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128398
title: Singlebeam Echosounder data collected during research cruise RR1722 using a Knudsen 3260 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128391
title: Winch data collected during research cruise RR1722 using a Markey DUTW-9-11 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/128394
title: Winch data collected during research cruise RR1722 using a Markey DUSH-5 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.4119/unibi/2944720
title: Supplementary material for the publication “Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy Implications and Potential Technical Measures for Mitigation”
DOI: 10.5517/ccdc.csd.cc1mqsjn
title: CCDC 1511452: Experimental Crystal Structure Determination

description: Related Article: Sathyanarayana Reddy Perumalla, Chenguang Wang, Yiwang Guo, Limin Shi, Changquan Calvin Sun|2019|CrystEngComm|21|2089|doi:10.1039/C8CE01076E
DOI: 10.5517/ccdc.csd.cc1mzc98
title: CCDC 1518730: Experimental Crystal Structure Determination

description: Related Article: Sourav Bhowmick, Achintya Jana, Khushwant Singh, Prerak Gupta, Ankit Gangrade, Biman B. Mandal, Neeladri Das|2018|Inorg.Chem.|57|3615|doi:10.1021/acs.inorgchem.7b01561
DOI: 10.5517/ccdc.csd.cc1mzgmp
title: CCDC 1518833: Experimental Crystal Structure Determination

description: Related Article: Sourav Bhowmick, Achintya Jana, Khushwant Singh, Prerak Gupta, Ankit Gangrade, Biman B. Mandal, Neeladri Das|2018|Inorg.Chem.|57|3615|doi:10.1021/acs.inorgchem.7b01561
DOI: 10.5517/ccdc.csd.cc1n8413
title: CCDC 1527154: Experimental Crystal Structure Determination

description: Related Article: Jean-Pierre Costes, Ghenadie Novitchi, Veacheslav Vieru, Liviu F. Chibotaru, Carine Duhayon, Laure Vendier, Jean-Pierre Majoral, Wolfgang Wernsdorfer|2019|Inorg.Chem.|58|756|doi:10.1021/acs.inorgchem.8b02921
DOI: 10.18743/data.00074
title: Data files for "Metal–silicate partitioning of W and Mo and the role of carbon in controlling their abundances in the Bulk Silicate Earth", Jennings et al. (Geochimica et Cosmochimica Acta)

description: Supplementary tables S1, S2, S3, S4, S5, S6. These constitute the raw research data for the paper: "Metal–silicate partitioning of W and Mo and the role of carbon in controlling their abundances in the Bulk Silicate Earth" by Jennings et al. (Geochimica et Cosmochimica Acta). Table S1: Details of methods Table S2: EPMA and LA-ICP-MS data for silicate and metal phases. See captions and paper for details. Table S3: Sources used for additional data used in the data compilation in the paper Table S4: Variance-covariance matrices for data fitting Tables S5 and S6: Model outputs, see captions and paper for details.
description: See methods section in the accompanying paper for further details. Table S1: Details of experiments and analyses for the different groups of experiments Table S2: Compositional data for the quenched experimental silicate and metal phase, collected by EPMA and LA-ICP-MS (silicate) and EPMA only (metal), at the Bayerisches Geoinstitut. See captions and paper for details. Table S3: Literature sources used for additional data used in the data compilation in the paper Table S4: Variance-covariance matrices for data fitting Tables S5 and S6: Model outputs, see captions and paper for details.
DOI: 10.6084/m9.figshare.12815687
title: Predictions of a null model in which the vibrational modes of H2O are ignored

description: In the null model, the absorption spectrum of water is replaced by a smooth absorption spectrum without the subtle shoulders of the vibrational harmonics. The null model does not predict a spectral landscape with pronounced peaks and valleys (in contrast to models that incorporate the vibrational modes of H<sub>2</sub>O; see Fig. 2 in the main text).<br>Dataset accompanies <b>Extended Data Fig. 2. </b>The <b>approx_euphotic_spectra.R </b>script at github.com/tadzi/spectral_niches_photosynthesis/ should be used in combination with this dataset to approximate the spectral irradiance at the euphotic depth.
DOI: 10.6084/m9.figshare.12815687.v1
title: Predictions of a null model in which the vibrational modes of H2O are ignored

description: In the null model, the absorption spectrum of water is replaced by a smooth absorption spectrum without the subtle shoulders of the vibrational harmonics. The null model does not predict a spectral landscape with pronounced peaks and valleys (in contrast to models that incorporate the vibrational modes of H<sub>2</sub>O; see Fig. 2 in the main text).<br>Dataset accompanies <b>Extended Data Fig. 2. </b>The <b>approx_euphotic_spectra.R </b>script at github.com/tadzi/spectral_niches_photosynthesis/ should be used in combination with this dataset to approximate the spectral irradiance at the euphotic depth.
DOI: 10.6084/m9.figshare.12815711
title: Underwater spectral irradiance landscape

description: Output of Hydrolight simulations containing scalar (Eod) and planar (Ed) irradiance with depth for different CDOM concentrations. Dataset also specifies the beam attenuation coefficient (beam_att), downwelling average cosine (mu_down) and total absorption coefficients (acoef). The Hydrolight output is given for wavelengths in the visible part of the spectrum (391.5 - 699.5 nm). <br>Dataset accompanies F<b>ig. 2, 3, Extended Data Fig. 3, 4</b>
DOI: 10.6084/m9.figshare.12815750
title: Pure sea water absorption and scattering

description: Absorption coefficients in 250-550nm range are updated according to Mason et al. 2016. 250-550 nm: Mason et al. 2016. Appl. Optics 55(25), 7163-7172.555-725 nm: R.M. Pope and E.S. Fry, 1997. Appl. Optics 36(33), 8710-8723. 725-800 nm: R.C. Smith and K. Baker, 1981. Appl. Optics 20(2), 177-184.800-2000nm: D. Segelstein, 1981. "The Complex Refrac. Index of Water", M.S. Thesis, U. MissouriMeasured absorption data were spline fit and resampled to 5 nm resolution.Scattering coefs were computed from A. Morel, 1974. "Optical Aspects Oceanogr.," Chap 1 (L&WEq. 3.31)
DOI: 10.6084/m9.figshare.12815732
title: Energy per spectral niche

description: Fraction of the total scalar irradiance that is contained within one of the 7 niches (violet, violet x blue, blue, blue x green, green, orange and red) at the euphotic depth. <br>Dataset accompanies <b>Fig. 5. b</b> and <b>Extended Data Fig. 5.</b>
DOI: 10.6084/m9.figshare.12815237.v1
title: Measured irradiance spectra for aquatic ecosystems ranging from the clearest ocean waters to a hypertrophic lake.

description: Measured planar irradiance spectra at the euphotic depth in 7 different aquatic ecosystems. The spectra were obtained from (1) the South Pacific gyre (near Easter Island), (2) North Pacific gyre (station ALOHA north of Hawaii), (3) subtropical North Atlantic (Canary Islands), (4) temperate North Atlantic (west of Ireland), (5) Baltic Sea (near Gulf of Finland), (6) lake IJsselmeer (Netherlands) and (7) lake ‘t Joppe (Netherlands).<br>These datasets accompany <b>Extended Data Fig. 4. b</b>