cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2z75w23nrg
title: Data for: Global food waste across the income spectrum: Implications for food prices, production and resource use

description: Here we develop a new panel database on household food waste at the national level based on the Energy Balance equation, including adjustments for changes in body weight over time. Since food waste at the country level is not directly observed at present, we must infer this from other observables, including food availability (FA), estimates of physical activity levels (PAL) and basal metabolic rates (BMR), and changes in Body Mass Index (BMI). This leads to the following system of equations for deducing food waste: Energy expenditure = Physical activity level*Basal Metabolic Rate (1) Food Intake = 𝛥 𝐵𝑜𝑑𝑦 𝑤𝑒𝑖𝑔ℎ𝑡*𝜌 + 𝐸𝑛𝑒𝑟𝑔𝑦 𝐸𝑥𝑝𝑒𝑛𝑑𝑖𝑡𝑢𝑟𝑒 (2) Food Waste = 𝐹𝑜𝑜𝑑 𝐴𝑣𝑎𝑖𝑙𝑎𝑏𝑙𝑒 − 𝐹𝑜𝑜𝑑 𝐼𝑛𝑡𝑎𝑘𝑒 (3) Where 𝜌 is a convertor of changes (of increases) in body weight to excessive intake of calories based on the energy balance equations (Hall et al. 2011). Following this approach, the uneaten calories at household level are quantified as the difference between the available calories (kcal/cap/day) and the caloric intake (kcal/cap/day). Country-specific food availability (kcal/cap/day) is obtained from the FAO Food Balance Sheets (FAO/WHO 2017) over the period 1975-2013. The country-specific average Energy Expenditure are calculated from the product of country-specific BMR and the country-specific PAL. The composite BMR, for an average person in each country, is a function of countries’ demographics (age, average weight, and sex) retrieved from World Bank Database (World Bank 2018). PAL based on different lifestyles retrieved from (FAO/WHO 2004). We extend Verma et al. (2017) by incorporating the increment of body weight into this equation. The country-specific average increase 𝛥𝐵𝑜𝑑𝑦 𝑤𝑒𝑖𝑔ℎ𝑡 (𝐵𝑊) was obtained from the differences in BMI reported for the years 1975, 85, 95, 2005, and 2014 (Abarca-Gómez et al. 2017) and country-specific average height for male and female from NCD Risk Factor Collaboration (Risk and Collaboration 2016). The increment in body weight is converted to energy (Kcal/cap/day) by applying a weight change model (Hall et al. 2011). Finally, by assuming a uniform intertemporal distribution of changes on energy expenditure due to changes on average weight, we can calculate country-specific average annual energy daily intake for the period 1975-2013. The final dataset contains average daily households’ uneaten calories for 158 countries (95% of the overall population) for the period 1975-2013. This dataset was used for the paper “Global food waste across the income spectrum: Implications for food prices, production and resource use” (Lopez Barrera and Hertel).
DOI: 10.17632/fvbjxyxtn6
title: Customer engagement on social networking sites in hospitality settings

description: A survey focused on quantitative research was implemented at the end of 2023 in Czechia. For quota sampling, an online panel by Talk (2024a) was utilized. Data were collected using a self-administered questionnaire. The study provides new insights into consumer behavior on social media in hospitality. The research integrates the uses and gratifications theory framework with the cohort theory framework to create a conceptual model for empirical testing (cf. Kulikovskaja et al. 2023). The results of mediation analysis with a generation as a moderator highlight that consumer engagement varies based on the content that users engage with. Content types on social media impact customer engagement, which in turn further influences word-of-mouth and loyalty. These findings enrich the literature on how customers engage with social media platforms within the hospitality sector. The results also show that generational differences exist and should be considered when marketers segment followers and prospective customers on a firm’s social media profile.
DOI: 10.17632/r3r5spdcpm
title: Test case of a multi-objective hierarchical flexible optimization model

description: We propose a multi-objective flexible hierarchical optimisation framework for the deterministic requirements of cogeneration air separation systems. This is a test case.
DOI: 10.6084/m9.figshare.25998154.v1
title: NBA Press Releases and ESPN Articles.xlsx

description: The NBA Press Releases and ESPN articles used to do a case study on the NBA's response to the COVID-19 pandemic. The case study investigates how the NBA developed organizational resilience and the press releases and articles are the primary and secondary sources.
DOI: 10.6084/m9.figshare.28883291.v1
title: Vickrey–Clarke–Groves Mechanism-Based Integrated Electricity and Gas System Optimal Operation Considering CCS in Electricity-Gas-Carbon Joint Market

description: Dataeset for <b>Vickrey–Clarke–Groves Mechanism-Based Integrated Electricity and Gas System Optimal Operation Considering CCS in Electricity-Gas-Carbon Joint Market</b>
DOI: 10.17632/265tjt9f4m
title: Thermophilic lignocellulolytic microorganisms in composting

description: This data set contains the information of thermophilic bacteria and fungi isolates obtained from lignocellulose-based composting throughout the critical stages of the process, which have lignocellulose-degrading activity. The collection consists of 186 strains, including 159 bacteria and 27 fungi, for whom the specific composting stage when they were obtained, their quantity and temperature inside the composting pile at sampling time was known. Bacterial strains only had xylanolytic activity while among the fungi also cellulolytic and ligninolytic activities were found for some strains. All isolates were identified by sequencing 16S rRNA or 5.8S-ITS region for bacteria and fungi, respectively. In addition, the range of growth at temperatures between 20 and 60 °C as well as the optimal temperature for growth was determined for each isolate. Each isolate is classified as thermotolerant or thermophilic according to these traits.
DOI: 10.17632/gtzzs3659m
title: Unemployment and COVID-19

description: This data was used to evaluate the effect of COVID-19 on unemployment in OECD Countries. The countries were classified into two groups based on the gender of the head of state.
DOI: 10.17632/44sgp2jvj5
title: Dataset for Characterizing viral samples using machine learning for Raman and absorption spectroscopy

description: We demonstrated the application of machine learning methods, such as convolutional neural networks and random forests, to predict the concentration of viral samples through Raman and absorption Spectroscopy. Our study demonstrates that concatenating the Raman and absorption data increases the prediction accuracy compared to using either Raman or absorption spectrum alone. In this dataset, we've included the raw and processed data files associated with the manuscript.
DOI: 10.17632/5kmttx8kgj
title: Dynamic Shooting in SWAT operators

description: Dataset includes dynamic shooting performance from SWAT operators. A data dictionary is included.
DOI: 10.17632/mmphhx6gkx
title: Data for: Determining Lyapunov exponents of non-smooth systems: perturbation vectors approach

description: Source code for Example 3.5 from the paper "Determining Lyapunov exponents of non-smooth systems: perturbation vectors approach" (Balcerzak, Stefański, Dąbrowski, Błażejczyk-Okolewska)
DOI: 10.17632/vr37ss8xm6
title: Gathered and generated database for crack detection on concrete and brick walls

description: Database was used for Master's thesis work "Identification of Asset Integrity Issues using Image Based Data Analysis and Deep Learning Methods" by Andrius Ambrutis and supervised by Mayur Pal.
Data contains pipeline model for cracks imitations, two classes of images (cracks and not cracks) as well as code and Matlbab .mat file with trained network on 40% of entire data.

Part of data in this dataset was generated using data gathered from:
1. ÖZGENEL, Ç.F. and GÖNENÇ SORGUÇ, A. Performance Comparison of Pretrained Convolutional Neural Networks on Crack Detection in Buildings. Surface Crack Detection. ISARC 2018, Berlin. Online. 2018. [viewed 2023-04-30]. Available from: <https://www.kaggle.com/datasets/arunrk7/surface-crack-detection>.
2. Pexels. Brick Wall Cracks Photos, Download The BEST Free Brick Wall Cracks Stock Photos & HD Images. Online. [viewed 2023-04-30]. Available from: <https://www.pexels.com/search/brick%20wall%20cracks/>.

In case of citation these sources should be mentioned as well (1 and 2) also usesage of these images should note violate lisences of earlier memtioned sources.

In addition to dataset, we include 3d pipeline model created in Blender which can be used to generate data for almost any environment.
DOI: 10.17632/z8yjcxw4ph
title: Associations of tobacco smoking, naswar use, physical activity and diet with hypertension and type 2 diabetes mellitus in the city of Kandahar, Afghanistan: A community-based cross-sectional study

description: The current study aims to describe the association of physical inactivity, unhealthy diet, tobacco smoking and naswar use with NCDs in the Afghan population living in Kandahar city.
DOI: 10.17632/csxc27sk5y
title: Data for: Origin of the early Cretaceous Liucheng OIB-type dolerite sill in Zhejiang Province, coastal region of SE China: Implications for recycling of the Paleo-Pacific slab

description: Geochemical Dataset
DOI: 10.17632/d52pwdmcww
title: Dermatologic Conditions, Care, and Considerations for Patients Experiencing Homelessness in the U.S.

description: A clinical review on dermatologic conditions and care for patients experiencing homelessness in the U.S.
DOI: 10.17632/dtxy4j6pcn
title: The Sex Independent Angle of Type 2 Diabetes

description: Patients were randomly recruited from two hospitals and divided into two groups. One group had no form of diabetes and served as controls (n = 50). The other group had the condition of type 2 diabetes (n = 71). Measurements of minimal waist, umbilical waist and hip circumference were taken. Fasting blood samples from subjects were analyzed for glycated hemoglobin, blood glucose and lipid profile. All sex independent anthropometric variables and blood data were compared between groups with and without type 2 diabetes. Patients with type 2 diabetes had a significantly higher Angle Index (AI) value as compared to controls (p &lt; 0.001). AI was the superior sex independent anthropometric index in relation to type 2 diabetes (AUC = 0.717; p &lt; 0.001) as compared to other sex independent variables. AI correlated with glycated hemoglobin [Spearman's Correlation (r) = 0.28, p = 0.003) and fasting blood glucose (r = 0.31, p = 0.001) levels. Patients with type 2 diabetes were four times more likely to have an AI &gt; 184 degrees [OR 4.2 (1.8 – 9.9)] as compared to controls. Angle Index (AI) was a superior sex independent index for discriminating between patients with type 2 diabetes and patients without diabetes, as compared to waist circumference, abdominal volume index, conicity index, blood pressure readings, triglyceride levels and very low density lipoprotein (VLDL) levels.
DOI: 10.6084/m9.figshare.28748906.v1
title: Dataset

description: This study investigates the critical role of flagellin deficiency in antibiotic resistance mechanisms in Salmonella Typhimurium and Salmonella Choleraesuis, with direct implications for understanding the emergence of multi-drug resistant (MDR) S. 4,[5],12:i:-, a clinically significant monophasic variant. Our work demonstrates that the deletion of flagellin genes (fljB and fliC) in Salmonella enhances antibiotic resistance despite impairing biofilm formation. Intriguingly, residual biofilms in flagellin-deficient mutants exhibit significantly higher antibiotic tolerance, accompanied by upregulated efflux pump activity. These findings suggest that flagellin loss may drive MDR in S. 4,[5],12:i:- through dual mechanisms involving biofilm adaptation and efflux pump potentiation.
DOI: 10.17632/j7d76jyvvf
title: MCYgene expression-qPCR

description: You can check the qPCR data, which investigated the effect of phosphorus limitation, using this dataset.
DOI: 10.17632/frby7hxwhs
title: Data for: Tectonic and paleoceanographic environment in the northern South China Sea for the past 3.2 million years: Evidenced from high-resolution geochemistry, mineralogy and isotopes of hydrogenous ferromanganese nodules

description: Figure S1. The major and trace elements of the Fe-Mn nodule in the northern South China Sea.
DOI: 10.17632/nh2rvcbvns
title: Raw concentration data - Serum metabolomic features of diabetic retinopathy in glucose well-controlled diabetic patients

description: To investigate systematic metabolic biomarkers for early diagnosis of glucose-well-controlled DM patients who still developed diabetic retinopathy (GW-DR) and explore potential biomarker-based precise treatment strategies for DR, a prospective hospital-based diabetes cohort was established at the Department of endocrinology and metabolism at Shanghai General Hospital. a total of 2126 diabetic patients have been recruited to receive diabetes management including glycemia control and regular follow-up care. A total of 42 glucose well-controlled diabetic participants, including 21 GW-DR subjects and 21 control subjects (GW-C) with matched HbA1c, fasting blood glucose (FBG), homeostasis model assessment for insulin resistance (HOMA-IR), homeostasis model assessment-b (HOMA-b), age, body mass index (BMI), and other clinical information both at baseline and follow-up using propensity score matching (PSM) were enrolled for serum metabolites analysis. To reveal the metabolic features of GW-DR patients, we used liquid chromatography-mass spectrometry to profile the metabolomic patterns in the serum of GW-DR and GW-C subjects.
DOI: 10.17632/j3j8yvwhgy
title: Data for: New Middle Eocene Omomyines (Primates, Haplorhini) from San Diego County, California

description: NEXUS files for running the phylogenetic analyses on the two character matrixes (Ni et al 2016 and Tornow 2008).
DOI: 10.6084/m9.figshare.25685523.v1
title: Mikolajewicz et al (2024)

description: R object containing seurat object of integrated sham, and CT2A- and GL261-engrafted brain samples. Data were integrated using rPCA and annotated as described in the corresponding manuscript (Mikolajewicz 2024). Please contact Dr. Nicholas Mikolajewicz (n.mikolajewicz@utoronto.ca) for any questions regarding the data.
DOI: 10.6084/m9.figshare.3518762.v1
title: Appendix D. Model ranking of detection probability (p) models for wood frogs within Cormack-Jolly-Seber mark–recapture models.

description: Model ranking of detection probability (p) models for wood frogs within Cormack-Jolly-Seber mark–recapture models.
DOI: 10.17632/6zk62khdw2
title: Journal of Iran's Economic Essays; "Jostarhaye Eghtesadiye Iran; No. 17

description: Journal of Economic Essays; an Islamic approach (JEE) is an open-access double-blind peer-reviewed academic quarterly journal that publishes original research, written with an Islamic approach in various Economic areas including Islamic economics and finance, Iran's economy, Fiqh (Islamic jurisprudence) and economics, philosophy of economics, economic theory, ethics and business, Islamic banking, economic development, and social security institution in Islam. JEE especially welcomes comparative articles that study the western and Muslim scholars' viewpoints about important economic issues to find the best answer to theoretical and applied questions and also to explore their differences and similarities with the aim of bringing them closer to each other. This journal accepts analytical articles that reread Muslim scholars' ideas according to new approaches in economics, moral philosophy, Islamic banking and finance, social security, econometrics, and Islamic economic institutions. Therefore, it aims to serve the interests of a wide range of thoughtful and academic readers, economists, philosophers, theologians, banking and finance experts and others interested in the multidisciplinary study of economics and Islam (including Fiqh "Islamic jurisprudence"). We hope that this publication creates an atmosphere of constructive dialogue on different economic topics between national and international scholars by which it could have a role in the growth of Islamic economic thought in Iran. In addition, Islamic solutions to the economic problems of Iran and the world will be examined and analyzed, and they will be presented to the policy makers to help improve the Islamic economic system.

Major Topics

 The Journal publishes papers, including the following fields:

- Islamic economics and finance;

 - Iran's economy;

 - Fiqh (Islamic jurisprudence) and economics;

 - Philosophy of economics;

 - Economic theory;

 - Ethics;

- Islamic economic institutions

 - Islamic banking;

 - Economic development;

- Social security.
DOI: 10.6084/m9.figshare.6790028.v1
title: Diachronic Maps

description: These maps represent a modeled distribution of population based on the nominal censuses of the town of Curitiba and adjacent towns. Classification of data is normalized for each category to allow comparison between different periods of time.
DOI: 10.17632/wtwzx7w777
title: Data on constituents of S&P 500 index

description: This data set has been used to explore the bi-directional relationship between corporate environmental performance and corporate financial performance. The dataset contains annual company information on constituents on S&P 500 index over the period of 2011 to 2020. The data is obtained from Bloomberg and Refinitiv.
DOI: 10.6084/m9.figshare.26972530.v1
title: Paramuricea_Density

description: Density of Paramuricea spp. from submersible video analysis.
DOI: 10.17632/b92bpvp4xd
title: Running with added leg mass

description: This repo contains the experimental data of a study on the effects of added mass on running biomechanics and energetics.
 The data includes:
  * Raw .C3D files of 14 participants who ran at 3 m/s with different mass conditions on their limbs.
  * Processed data of kinematic, kinetic, and metabolic variables derived from the .C3D files.
  * Metabolic measurements of oxygen consumption and carbon dioxide production for each trial.
You can find more details about the data collection and analysis methods in the ReadMe file and the related papers.

We hope that our data will be useful for researchers and practitioners interested in exoskeleton design,  running performance,  and injury prevention. 
If you use our data, please cite our related papers:
Metabolic power response to added mass on the lower extremities during running:
https://doi.org/10.1016/j.apergo.2023.104109
Joint kinematic and kinetic responses to added mass on the lower extremities during running:
https://doi.org/10.1016/j.apergo.2023.104050
DOI: 10.17632/7xxbfsybxz
title: Machine learning in energy forecasts with an application to high frequency electricity consumption data

description: This file contains Python codes related to the research paper
 'Machine learning in energy forecasts with an application to high frequency electricity consumption data'. 
(see https://www.uni-marburg.de/en/fb02/research-groups/economics/macroeconomics/research/magks-joint-discussion-papers-in-economics/papers/2021-papers/35-2021_heilmann.pdf )

The file 'Paper experiment code' contains the complete experiment of the paper, but without the used dataset 'HessianLoad'. 
The dataset can be requested at https://www.uni-kassel.de/eecs/en/sections/intelligent-embedded-systems/downloads . 
The codes of the approach Auto-LSTM can be found in the sub file 'rl_forecast'.
Together with the dataset 'HesseanLoad' the main file 'experiment_file.py' (respectively 'util.py') is in principle fully functional. 
However, we strongly recommend NOT to run the experiment, because of very long calculation times.
The numerical results of the experiment are can be found in the sub file 'results'.

As addition to the full experiment, we provide an easy example in the file 'Easy Example'.
The main code 'EASY EXAMPLE.py' is finctional with the provided exemplary data.
The example contains the simplified application of the approaches ARIMAX and ANN on the basis of a shortened input dataset.
It can be used to reproduce the machine learning rpcoess, introduced in the paper.
DOI: 10.17632/zkn8rs76hy
title: Bednikund Lake Dataset

description: The “Bednikund Lake Dataset” is multiproxy data (grain size, environmental magnetism, stable carbon isotope, total nitrogen, and total organic carbon) generated on a ~116 cm long trench from the high altitude alpine Badnikund lake in the Central Himalaya. This dataset also includes environmental magnetic and organic geochemistry data of 11 catchment soil samples of the Bednikund lake. The chronology of Bednikund lake trench (BBK) profile is well established with seven AMS 14C dates. The multiproxy data are provided in tabular format in an excel file along with modeled ages. The multiproxy data can be significantly utilized for regional correlation of Indian summer monsoon variability during the middle Holocene as well as for the correlation of global climatic events. The data can be also reused in paleoclimate modeling for precipitation change over the past ~6000 years. The data is related to the research article “Rawat, V., Rawat, S., Srivastava, P., Negi, P.S., Prakasam, M., Kotlia, B.S., 2021. Middle Holocene Indian summer monsoon variability and its impact on cultural changes in the Indian subcontinent. Quaternary Science Reviews.” A detailed description of dataset generation could be found in the “Data in Brief” article “Rawat, V., Rawat, S., Srivastava, P., Negi, P.S., Prakasam, M., Kotlia, B.S., 2021. Multiproxy paleoclimate dataset from the Bednikund alpine lake in the Central Himalaya. Data in Brief.
DOI: 10.6084/m9.figshare.13139335.v2
title: Serum anion gap at admission predicts all-cause mortality in critically ill patients with cerebral infarction: evidence from the MIMIC-III database

description: Recent studies reported that serum anion gap could be regarded as a prognostic biomarker for patients admitted to intensive care units. However, the association between AG and mortality in cerebral infarction patients remained largely unknown. Relevant clinical data were collected from Medical Information Mart for Intensive Care III. Patients were divided into three groups according to tertiles of AG. Kaplan–Meier curve and Cox proportional hazards models were used to evaluate the association between AG levels and all-cause mortality. Subgroup analyses were performed to verify the predictive role of AG on mortality. Kaplan–Meier analysis showed that patients with higher AG had shorter survival time. Cox regression model indicated high AG as an independent risk factor of 30-day, 60-day and 180-day all-cause mortality (30-day: HR = 2.45, 95% CI = 1.21–4.97, 60-day: HR = 2.04, 95% CI = 1.07–3.89, and 180-day: HR = 1.85, 95% CI = 1.02–3.36). However, no significance was observed between AG and 365-day all-cause mortality (HR = 1.56, 95% CI = 0.87–2.78). High AG was associated with increased risk of all-cause mortality, and AG could be an independent short-term prognostic factor for cerebral infarction.