cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fw3ky3scrp.1
title: IBPT - International Building Physics in Simulink

description: IBPT is a Simulink library that contains blocks/models for the analysis of heat transfer through building envelopes and whole buildings. These models are also termed H-Tools. Note that the library has not been updated to newer versions of Matlab/Simulink, which can influence its functionality

IBPT-1 package encloses:

library: IBPT_1.mdl
block documentation: CTH_Documentation.pdf, DTU_Documentation.pdf
material data: CTH_database.mat, DTU_database.mat
weather data: weather.mat (TRY for Copenhagen)
auxiliary files: sun.m, irrad.m, irradh.m, weatherconv.m
examples: CTH_Exercise.mdl, DTU_Excercise.mdl


IBPT-2 package is an upgrade of IBPT-1. Besides H-Tools, IBPT-2 contains also HAM-Tools, which is a library with the models for combined heat, air and moisture transfer analysis of building envelopes and whole buildings. 

IBPT-2 package encloses:

library: IBPT_2.mdl
block documentation: CTH_HAM-Tools documentation.pdf, HAM-Tools validation.pdf
material data: CTH_database.mat, (OBS! different than the one provided with IBPT-1)
weather data : weather.mat (same as in IBPT-1)
auxiliary files: sun.m, irrad.m, irradh.m, weatherconv.m, (same as in IBPT-1)
examples: Basement_StinaW.mdl


Angela Sasic Kalagasidis, Feb 7 2024
DOI: 10.17632/x9krf9cbn7.1
title: The dataset of comments on YouTube videos containing instructions on first aid

description: This dataset contains English-language comments extracted from YouTube video-sharing platform (YouTube LLC, California, USA) in November 2022. 
The comments were collected as follows:
(1) Titles of the first aid-related videos found on YouTube with a “first aid” keyword were screened, and videos potentially providing instructions on how to administer first aid in a health emergency situation were selected (n=104); (2) all comments to the videos (n=16,091) were automatically extracted using the web scraping technique based on a Python script developed by the authors; (3) non-English, duplicate and apparently irrelevant comments and comment replies were excluded (n=15,390).
Eventually, a total of 701 comments composed the dataset.
DOI: 10.17632/b2d83zft4s.1
title: Avocado-DB Dataset

description: The dataset is composed of 342 images corresponding to 19 avocado fruits, the images were captured using a digital camera, the fruits have been positioned at 18 different angles using a physical structure in a controlled environment; in addition the dataset contains the information of the total weight, pulp, pit and peel weight of each avocado fruit.
DOI: 10.17632/6j2v35ykky.1
title: XRF data using varied KClO3

description: XRF data yielding from Froth Flotation Method using varied KClO3 concentrations to examine REE.
DOI: 10.15468/dl.zg8de2
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009211-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yts8495x6h.1
title: Data for: Does Trade reduce Infant Mortality? Evidence from Sub-Saharan Africa

description: Dataset creation for the paper.
DOI: 10.17632/dr8bnrsv94.1
title: Photovoltaic cooling system by using thermosiphon effect
DOI: 10.17632/yy2k5y8mxg.1
title: BRACOL - A Brazilian Arabica Coffee Leaf images dataset to identification and quantification of coffee diseases and pests

description: The dataset was developed with the purpose to evaluate deep learning algorithms for segmentation and classification. it contains images of arabica coffee leaves affected by the main biotic stresses that affect the coffee tree: leaf miner, leaf rust, brown leaf spot, and cercospora leaf spot. The images were obtained using different smartphones (ASUS Zenfone 2, Xiaomi Redmi 5A, Xiaomi S2, Galaxy S8, and iPhone 6S). The leaves were collected at different times of the year in Santa Maria of Marechal Floreano in the mountains regions of the state of Espirito Santo, Brazil. The photos were taken from the abaxial (lower) side of the leaves under partially controlled conditions and placed on a white background. The acquisition of the images was done without much criterion to make the dataset more heterogeneous. A total of 1747 images of arabica coffee leaves were collected, including healthy leaves and diseased leaves, affected by one or more types of biotic stresses. The process of biotic stresses recognition for dataset labeling was assisted by an expert and performed with the captured images. From the obtained photos were generated two datasets. A dataset with the original images of the entire leaves and a second one containing only symptoms images. Details of each dataset are described in the following. Leaf dataset: It consists of the original images of the entire leaves. The images were labeled in relation to the predominant biotic stress of each leaf and its severity. Stress severity was calculated using the symptom and leaf segmentation mask using automatic image processing methods presented in Manso et al. (2019). For certain severity ranges, labels were assigned as follows: healthy (&lt; 0:1%), very low (0.1% - 5%), low (5% - 10%), high (10% - 15%) and very high (&gt; 15%). Symptom dataset: This dataset was created by cropping the isolated symptoms from the original images in a way that only single stress was present in each image. A total of 2147 symptom images were cropped. Each dataset is divided in training, validation and test. GL Manso, H Knidel, RA Krohling, JA Ventura (2019), A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust. arXiv preprint arXiv:1904.00742
DOI: 10.17632/bwrr6zypcj.1
title: Student Learning Preferences 

description: This is a student learning style dataset based on VARK questioner.
DOI: 10.17632/hm9gcff8d9.1
title: Estimated Impact of School Closures in Chile During 2019

description: Data and do file required to reproduce our results in the paper Estimated Impact of School Closures in Chile During 2019.

We combine different sources of information published by the Ministry of Education in Chile (Mineduc) and the Education Quality Agency, which are of public access. We use the Mineduc  Study Center databases from 2018 and 2019 of students from elementary and high-school levels regarding:
•	Monthly attendance.
•	Annual performance per student (GPA). 
•	Students socioeconomic characteristics: Preferred and priority students and beneficiaries of the preferential grant (SEP). 
These three student-level databases use a unique identifier per student that allows us to combine them with each other.  
Additionally, we used databases with the 2017 and 2019 SIMCE standardized 8th grade test scores . We obtained these databases from the Education Quality Agency, which is an independent, public organization that is part of the School Education Quality Assurance System. These databases are of public access, are aggregated at the school level, and have an identifier that allows us to combine them with other databases.
Finally, there is also information gathered by the Mineduc of schools that adhered to the stoppage during 2019, as well as the days of classes lost per school due to the riots of that year after October 18.
DOI: 10.17632/c2gw7fy2j4.1
title: Web page phishing detection

description: The provided dataset includes 11430 URLs with 87 extracted features. The dataset are designed to be used as a a benchmark for machine learning based phishing detection systems. Features are from three different classes: 56 extracted from the structure and syntax of URLs, 24 extracted from the content of their correspondent pages and 7 are extracetd by querying external services. The datatset is balanced, it containes exactly 50% phishing and 50% legitimate URLs. Associated to the dataset, we provide Python scripts used for the extraction of the features for potential replication or extension. dataset_A: contains a list a URLs together with their DOM tree objects that can be used for replication and experimenting new URL and content-based features overtaking short-time living of phishing web pages. dataset_B: containes the extracted feature values that can be used directly as inupt to classifiers for examination. Note that the data in this dataset are indexed with URLs so that one need to remove the index before experimentation. Datasets are constructed on May 2020. Due to huge size of dataset A, only a sample of the dataset is provided, I will try to divide into sample files and upload them one by one, for full copy, please contact directly the author at any time at: hannousse.abdelhakim@univ-guelma.dz
DOI: 10.15468/dl.gyqx8e
title: Occurrence Download

description: A dataset containing 1536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus echinata Mill.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1536 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009212-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kmhgrg4rpz.2
title: The Effect of Climate Change Threat on Public Attitudes towards Ethnic and Religious Minorities and Climate Refugees

description: This entry includes the text of five surveys distributed via Qualtrics company to ethnic white British citizens in 2020 (Study 1: Survey T1 and T2) and 2021 (Study 2 - different sample from Study 1) and 2023 (Study 3: Survey T1 and T2 - different sample from previous surveys) and associated datasets. Hence, Study 1 and Study 3 consist of two survey waves whereby the second wave was a recontact of participants in wave 1. All studies use a different sample of ethnic white British citizens. The surveys used an experimental design (Study 1 (T2) , Study 2, Study 3 (T2)) to investigate the effect of climate change threat on attitudes towards ethnic/religious minorities and climate refugees. We found no significant direct effect. We found that social majority members who are exposed to threatening information about climate change and, at the same time, feel little national efficacy over climate change, evaluate more negatively those minorities that are perceived as posing the biggest challenge to national cohesion and unity (Muslims+Pakistanis). Similar results for the evaluation of climate refugees were statistically significant only in one of the experiments (Study 1). The moderating role of collective climate efficacy beliefs suggests that processes of group-based control may be central for explaining authoritarian and ethnocentric responses to climate change threat. The data was cleaned of variables pertaining to a different study on the effect of climate change threat on environmental extremism, which is still under analysis. More information on this research can be found in these pre-registrations: https://aspredicted.org/S8X_13Z, https://aspredicted.org/ZXZ_SXQ and https://aspredicted.org/6ka4k.pdf.
DOI: 10.17632/56rmx5bjcr.1
title: Knee Osteoarthritis Severity Grading Dataset

description: This dataset contains knee X-ray data for both knee joint detection and knee KL grading. The dataset is organized from OAI (https://oai.epi-ucsf.org/datarelease/).
DOI: 10.17632/mk3xhprm6j.1
title: FOS: A fully integrated open-source program for Fast Optical Spectrum calculations of nanoparticle media

description: FOS, which means light in Greek, is an open-source program for Fast Optical Spectrum calculations of nanoparticle media. This program takes the material properties and a description of the system as input, and outputs the spectral response including the reflectance, absorptance, and transmittance. Previous open-source codes often include only one portion of what is needed to calculate the spectral response of a nanoparticulate medium, such as Mie theory or a Monte Carlo method. FOS is designed to provide a convenient fully integrated format to remove the barrier as well as providing a significantly accelerated implementation with compiled Python code, parallel processing, and pre-trained machine learning predictions. This program can accelerate optimization and high throughput design of optical properties of nanoparticle or nanocomposite media, such as radiative cooling paint and solar heating liquids, allowing for the discovery of new materials and designs. FOS also enables convenient modeling of lunar dust coatings, combustion particulates, and many other particulate systems. In this paper we discuss the methodology used in FOS, features of the program, and provide four case studies.
DOI: 10.17632/zhrfjfzf39.1
title: Origins of International Factor Structures

description: Replication code and data for Origins of International Factor Structures by Zhenyang Jiang and Robert Richmond
DOI: 10.17632/v5fy5dvk8n.1
title: Two-Bottle Choice Test

description: These are the files required to build a fully functional Automated Two-Bottle Choice Test
DOI: 10.17632/wr2ct4r22f.2
title: Instances for the Pickup and Delivery Problem with Time Windows based on open data

description: Instances for the Pickup and Delivery Problem with Time Windows generated using open data on addresses and travel times. There are 300 instances in total, distributed in 12 sets according to the number of customer locations: 100, 200, 400, 600, 800, 1000, 1500, 2000, 2500, 3000, 4000, and 5000 locations. Each set contains 25 instances and is compressed in a single (.zip) file. Instructions to correctly read each instance file are available in a README inside the folder "Instances/". A table with detailed configurations of all instances can be found in the text file "configurations.txt". A valid solution for each instance is available inside the folder "Solutions/". The detailed structure of these files is described in the README file inside the same folder. The file README in the main folder contains general information about the datasets and related topics.
DOI: 10.17632/hpvw6hcz4h
title: Dietary prebiotic-stevioside modulates the growth, antioxidant enzymes, immune response, and IL-1β and hepcidin genes in thinlip mullets subjected to chronic cold stress

description: Raw data from a 60-day experimental trial on the efficacy of stevioside (0, 100, 200, 300, 400, or 500 mg/kg) in thinlip mullet (N=540 juveniles; initial weight 3.50 ± 0.07 g) exposed to a long-term low-temperature regime (18°C).
DOI: 10.17632/m57tdmt3sh.1
title: Conflict and Decision-making

description: Participants in this study were members of presidential leadership teams at Pennsylvania Community Colleges. They were asked to share their personal preferences and observations in decision-making by entering their score on the items related to the variables tested. They rated each statement on a 5-point Likert scale from ‘strongly disagree’ to ‘strongly agree.’ The two response variables for group conflict type were created by combining the scores of three questions per variable into two subscales. The Intragroup Conflict Scale provided subscales for (a) cognitive and (b) affective conflict types. The data for explanatory variables in decision-making style produce two subscales, (a) rationality and (b) intuition. Not all cases were included due to one missing survey response. Hypotheses The research hypotheses are based on theory and research into teams, decision-making and conflict. In this study, decision-making and conflict are believed to be associated with one another, where the observations of conflict are dependent on an individual’s preference in decision-making. Expectations in this study were that each type of conflict would directionally correlate with a separate decision-making style. As intuitive and rational decision-making styles are distinct from one another, it was hypothesized that each would relate to a different type of conflict. Likewise, discrete conflict types should relate to different decision-making preferences. Hypothesis 1: Individual preferences for Rationality will positively correlate with the reported experience of Cognitive conflict in the group. Hypothesis 2: Individual preferences for Intuition will positively correlate with the reported experience of Affective conflict in the group. Hypothesis 3: Individual preferences for Rationality will negatively correlate with the reported experience of Affective conflict in the group. Hypothesis 4: Individual preferences for Intuition will negatively correlate with the reported experience of Cognitive conflict in the group.
DOI: 10.17632/sx2pwtvy66.1
title: Data for: "BEHAVIORAL BIASES AND THE DECISION-MAKING IN ENTREPRENEURS AND MANAGERS” published by RAC-Revista de Administração Contemporânea

description: The text data used in the current study was collected through a semistructured interview: the questions used in the interview addressed what was the participant’s role in a decision was, what he did or did not do;
what did the participant reckon the outcomes, the decision-making process; and questions which intended to bring elements of behavioral biases, both cognitive and emotional, in the decision-making process.
Data analysis was supported by content analysis, The interviews were fully transcript, and the text files were imported into the software NVivo® v. 11. The software was used for organizing, managing, and
coding data, as well as for generating maps for grouping the results for interpretation. Therefore, the file attached contains the text data, nodes, categorization, and maps used by the authors.
DOI: 10.17632/ytstmynn4m.1
title: R codes for longitudinal healthspan data analysis

description: R codes for assessing longitudinal health span data ( frailty Index). These codes are for 0. Preparation steps for calculating Total Scores (mean scores) and converting measurement dates to measurement IDs 1. Repeated Measures Correlation: To assess the correlation between life-expectancy (Remaining Lifespan) and total score ( considering the Intra-dependency of the data set). 2. Mixed Model (mouse as Random effect, treatment and time as fixed effects): Now, to assess the statistical difference between the slopes of regression lines, we applied a mixed model to the combined data set of AKG and control and compared the slopes ( considering the Intra-dependency of the data set collected throughout the study). 3. Mann-Kendall Trend Test : To assess the possible monotonic trend for each frailty phenotype with aging (time).
DOI: 10.17632/44bygxg8w3.2
title: Enterprise Architecture in Healthcare Systems: A systematic literature review

description: This work presents a deep and broad Systematic Literature Review (SLR) to select studies demonstrating current EA practices in healthcare systems. The researchers established an SLR protocol returning 280 primary studies after the first step of the Data Selection and a consolidated inclusion of 46 articles after the second step. They assessed the level of disagreement during the team's evaluations using Cohen's Kappa. This SLR revealed essential aspects of state-of-the-art EA application in healthcare systems, such as the most used methodologies and tools, best practices, and criteria considered for their choice. It also analyzed the main positive impacts, challenges, and critical success factors described by the studies' authors based on empirical approaches. Besides, this work brings the main publication channels and the most influential authors on the topic of EA in Healthcare systems.
DOI: 10.17632/f5ttw4mygy.1
title: Skin Proteomic Analysis of Immune Activation Associated with Regression of Melanoma Metastases Induced by Diphencyprone

description: Supplementary Data for Skin Proteomic Analysis of Immune Activation Associated with Regression of Melanoma Metastases Induced by Diphencyprone
DOI: 10.17632/rm5jv6k35m.1
title: Data for: A supply chain perspective of stakeholder identification as a tool for responsible policy and decision-making

description: Questionnaire used to assess the strengths and weaknesses of SCOPIS.
DOI: 10.17632/2rvtxpjtfg.2
title: An ecotope map of the trilateral Wadden Sea

description: These data present the first digital, publicly available, ecotope map of the trilateral Wadden Sea covering the Netherlands, Germany and Denmark. This ecotope map, representative for the time period 2008-2012, was developed on the basis of bathymetry, salinity, flow velocity, exposure time, sediment composition, hard substrates and salt marshes. Ecotopes are discrete classes of the physical environment based on the distributions of communities in an ecosystem. An ecotope map can give a first–order estimate of the potential spatial distribution of species and communities. The use of a single, consistent and well-defined ecotope system makes it possible to compare the proportions of the different ecotopes and compare properties of the tidal basins over the entire trilateral Wadden Sea.

This ecotope map of the trilateral Wadden Sea area followed the ecotope system for coastal waters ZES.1 typology that was developed in the Netherlands. This ecotope system is based on the notion that local physical environmental factors and processes are main determinants of communities. The main physical environmental factors and processes in the ZES.1 system were mean and variability of salinity, substratum type, mean water depth, and hydrodynamics. Class boundaries were used to classify the continuous variables in order to define the ecotopes. The ZES.1 ecotype system hierarchically arranges the ecotope variables on the basis of the dominance of the physical environmental factors and processes in determining community composition.

CORRIGENDUM. In version 1 of June 2019 an error has been made. The class boundary between shallow sublittoral and low intertidal was not set to 4% mean exposure but to 0.001%. This resulted in a too low cover of sublitoral areas. In Version 2 this is corrected. The data file is a zipped file "EctpWZ3L_gpkg.zip" containing a GeoPackage, holding the geographical data (polygons etc.):
	i. 	EcotopeWS3_mp = polygon geodata of ecotope map
	ii.	bivbeds_focc = geodata for eco-element bivalve beds (polygon)
	iii.	eelgrass_presence = geodata for eco-element seagrass aka eelgrass presence (polygon)
	iv. 	EcotopeWS3CodeInterpretation, table explaining how fields in ecotope map should be interpreted
	v.	ZESsmpleCode2Legend, table expanding ZESsimple from code to full legend text.
and includes:
2) a set of QML-files (symbology definition files for QGIS), 
3) a set of SLD-files (symbology layer definition files for GeoServer),
4) three PNG-files to provide the different textures/patterns used in the symbolising the sediment types.
DOI: 10.17632/bst3xj82yp.1
title: Data for: Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes

description: python_code_for_validation.txt : python code for validation codingBook.xlsx : coding book for make validation data x_val_exam.csv : example for input data g_val_exam.csv : example for neurologic recovery outcome s_val_exam.csv : example for survival to discharge outcome dcaps.h5 : saved Deep-learning-based out-of-hospital cardiac arrest prognostic system (DCAPS) example_image_of_validation.jpeg : captured image for example