cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bmwyh3np9v
title: Internet drug trading: national review of new online drug markets for young people

description: llicit drugs are marketed both via dark web platforms and social media, but there are also research reports buying these drugs online. This study is intended to analyse the risk factors for the purchase of online illicit drugs. We assumed that social interactions, low levels of self-control, and impaired mental health would be correlated with online opioid sales following criminological and addiction analysis research. Moreover, online drug sales are expected to be related to low self-control and daily drug consumption. Participants in this nationwide study were aged 15 to 25 years and lived in Germany (N=1,732) and France (N=1,732). Measures of impulsivity, ability sensitivity, social association, psychological tension, and repetitive activity (drinking, gambling, and Internet use) predicted online drug use. 4% of German and French respondents reported buying drugs online of which, 63% did so via social media services. Online opioid purchases were associated with lower self-control, elevated social anxiety, heavy gambling, and Internet use, as shown by multinomial logistic regression and binary intervention regression models. It was not a risk factor to have online friends, but close social links with offline friends served as a security factor.r. The results indicate that more attention should be paid to mainstream social media services as a source for buying drugs as there are many psychological and self-control issues among online drug consumers.
DOI: 10.17632/tv3xh2hgmh
title: Hohokam-Area Faunal Troika Data

description: This data file includes summary data for an analysis of zooarchaeological abundance at archaeological sites in the Hohokam culture area of the US Southwest. Columns Site: Name of the archaeological site (note that assemblages from different phases or periods within a single site are listed on separate lines). ConsolidatedPeriodCode: Time period of the assemblage, as grouped for the analysis (A=Middle/Late Archaic, B=Early Ceramic/Pioneer/Colonial, C=Sedentary, D=Classic). SiteNum: State of Arizona archaeological site identification number. Lagomorpha: The proportion of lagomorphs out of lagomorphs, artiodactyls, and rodents. Artiodactyla: The proportion of artiodactyls out of lagomorphs, artiodactyls, and rodents. Rodentia: The proportion of artiodactyls out of lagomorphs, artiodactyls, and rodents. TotalNISP: The total number of specimens identified at any taxonomic level, including those outside the classes Lagomorpha, Artiodactyla, and Rodentia. Richness: The count of taxa at the genus level (or higher where no genera are identified within a family or class). Evenness: The inverse of Simpson's Index (Simpson 1949; Hill 1973) for proportions of specimens in the classes Lagomorpha, Artiodactyla, and Rodentia. References Hill, M.O., 1973. Diversity and evenness: a unifying notation and its consequences. Ecology 54:427–432. Simpson, E.H., 1949. Measurement of Diversity. Nature 163:688.
DOI: 10.17632/cxfvnn4kpd
title: An Experiment on Network Density and Sequential Learning: Data and Code

description: Data and code for the article "An Experiment on Network Density and Sequential Learning." We conduct a sequential social-learning experiment where subjects each guess a hidden state based on private signals and the guesses of a subset of their predecessors. A network determines the observable predecessors, and we compare subjects' accuracy on sparse and dense networks. Accuracy gains from social learning are twice as large on sparse networks compared to dense networks. Models of naive inference where agents ignore correlation between observations predict this comparative static in network density, while the finding is difficult to reconcile with rational-learning models.
DOI: 10.17632/9mg42sd35k
title: The Jekyll and Hide fish: Phenotype as a determinant of the invasion potential of Polypterus senegalus Cuvier, 1829

description: Explanatory notes for the data:

probability of entering the labyrinth = binary variable distinguishing whether the individual fish entered the labyrinth throughout the observation period

probability of entering the shelter = binary variable distinguishing whether the individual fish entered the shelter throughout the observation period

boldness = continuous variable describing the time in seconds when individual entered the labyrinth (in case that the individual did not enter it, full time, i.e. 600 s was assigned)

time in shelter = continuous variable expressed in seconds used as a measure of shelter occupancy

lateralization = class variable assigning whether the tested individual used the left or right arm of the labyrinth to reach the shelter

air breathing frequency = number of breathings during the 10-min intervals

interval = class variable taking values from 1 to 6

exploration = number of seconds needed to explore the whole maze (i.e. to get the contact with all antennas in the system)

habitat preference = number of detections within particular artificial channel sectors across the given time interval of one hour

activity = number of artificial channel sectors passed across the given time interval of one hour

light interval = distinguished whether the observations during the time interval occurred during the day or night 

probability of eating a food item = binary variable distinguishing whether the individual fish eat a food item during a given time interval or not

phase = class variable describing the phase of the experiment related to the switch of food items

day = class variable assigning every day of the feeding adaptability experiment and reaching the values from 1 to 20
DOI: 10.17632/c2x4zk9gcm
title: JAAD-D-19-02520 Supplementary Materials

description: Supplementary materials for publication JAAD-D-19-02520 (Nguyen AT et. al. Quantitative Metastatic Lymph Node Burden and Survival in Merkel Cell Carcinoma. J Am Acad Dermatol. 2020)
DOI: 10.17632/gbrw4vc99r
title: original blot for western blot

description: orginial blots for western blot
DOI: 10.17632/kmcwsxk378
title: Data excel of sediment and groundwater

description: Thanks
DOI: 10.17632/srwvfgf42p
title: Prolonged quiescence delays somatic stem cell-like divisions in Caenorhabditis elegans and is controlled by insulin signaling

description: Raw data relative to the work "Prolonged quiescence delays somatic stem cell-like divisions in Caenorhabditis elegans and is controlled by insulin signaling"
DOI: 10.17632/3mz7z2729r
title: Roles of Natural Resources, Globalization, and Technological Innovations in Mitigation of Environmental Degradation in BRI Economies

description: The variable EF is calculated in terms of global hectares per capita, a total of carbon, farmland, built-up land, forest land footprint, fishing grounds, and grazing land. NR is the sum of forest rents, oil rents, coal rents, natural gas rentals, and mineral rents as a proportion of GDP. TE is determined by the number of patent applications. GLO is calculated as the political, social, and economic globalization index sum. The economic growth is computed in terms of constant 2010 US dollars. The GDP and NR data are acquired from the World Development Indicator. The data on EF is extracted from Global Footprint Network, and GLO data is sourced from KOF globalization Index. Lastly, the data on TE is collated from World Intellectual Property Organization.
DOI: 10.17632/gpjzxt7f2f
title: Race, Ethnicity, and Comorbidities are Critical Factors in the Diagnosis of Telogen Effluvium During the COVID- 19 Pandemic

description: Supplemental Figure 1. Incidence of Cicatricial Alopecia and Telogen Effluvium Incidence by Race. Cicatricial Alopecia (scarring hair loss) was diagnosed by ICD-10-CM:L66.*. Telogen effluvium was diagnosed by ICD-10-CM:L65.0.
DOI: 10.15468/dl.zgssg2
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Morelia viridis (Schlegel, 1872)"
 ]
}

 The dataset includes 144 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001528-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6hg6c7kt3z
title: Familiarity, environment and the use of human given cues in horses

description: We assessed the performance of 57 horses in following a pointing gesture in a two-way choice task with either a familiar (N=28) or an unfamiliar pointer (N=29). We investigated the effects of the length of the relationship between the horse a familiar person (main caregiver), their social environment (living alone, in dyads, or in groups) and their physical environment (living in stalls/paddocks, alternating between paddocks and pastures, or living full time in pastures). 

this data contain for each horse, the success (fail = 0, success = 1)  to each of the 10 trial they participated in, the familiarity of the human informant performing the cues (familiar or unfamiliar), the age of the horse, their sex, their breed, the time since they know their owner, their social environment (living in groups, in dyad or alone), their physical environment (living in paddock, in field or alternating both ).
DOI: 10.17632/m47nh2hwnn
title: Italian consumers of dealcoholic wine

description: Data are based on Young adults' preferences toward NOLO wine. Specifically, through this dataset, we would like to understand whether and to what extent healthy-related aspects, social norms, socio-demographics, etc., could affect this preference.
DOI: 10.17632/w6vhzx2gzy
title: Data for: Comparative Effects of Horseradish (Moringa oleifera) Leaves and Seeds on Blood Pressure and Crucial Enzymes Relevant to Hypertension in Rat

description: All figures and tables
DOI: 10.17632/5d59s4t8xn
title: Transthoracic echocardiography in patients undergoing mitral valve repair: comparison of new transthoracic 3D techniques to 2D transoesophageal echocardiography in the localization of mitral valve prolapse

description: Successful mitral valve (MV) repair for degenerative mitral regurgitation (DMR) is mainly related to surgical expertise and MV anatomy. Although 2D echocardiography, specifically transoesophageal (TOE), provides precise information regarding MV anatomy, recent advancements in matrix technology meant a decisive step forward to the point where segmental MV analysis can be accurately performed from a noninvasive 3D transthoracic (TTE) approach. The aims of this study were: (a) to evaluate the feasibility and time required for real-time 3D TTE in a large consecutive cohort of patients with severe DMR in the assessment of MV anatomy; (b) to compare the accuracy of 3D TTE and 2D TOE versus surgical inspection in the recognition and localization of all components of the MV leaflets; (c) to establish the added diagnostic value of 3D colour- Doppler examination to pure 3D morphologic evaluation. 149 consecutive patients with severe DMR underwent complete 3D TTE before surgery and 2D TOE in the operating room. Echocardiographic data obtained by the different techniques were compared with surgical inspection. 3D TTE was feasible in a relatively short time (8 ± 4 min), with good (49%) and optimal (33%) imaging quality in the majority of cases. 3D TTE had significant better overall accuracy compared to 2D TOE (93 and 91%, p &lt; 0.05, respectively). 2D TOE was significantly more specific than 3D TTE in the identification of A3 prolapse (99 vs. 96%). The colourDoppler mode did not improve significantly the accuracy of 3D TTE, albeit it determined a better sensitivity in the detection of A2 prolapse if compared to 2D TOE (95 vs. 85%). 3D TTE with or without colourDoppler is a feasible and useful method in the analysis of MV prolapse; it allows a preoperative and noninvasive description of the pathology as accurate as the 2D TOE.
DOI: 10.17632/shn4g4vksb
title: Data for: Financial return and environmental impact information promotes ESG investments: Evidence from a large, incentivized online-experiment

description: The files contain the data from an incentivized online experiment with experienced retail investors and a representative sample of the Austrian population (N = 2,254 in total) and replication codes to reproduces the main analyses. The data and analysis complement the manuscript "Financial return and environmental impact information promotes ESG investments: Evidence from a large, incentivized online-experiment".
DOI: 10.17632/3hnht4j94k
title: TransROTA: A code for solving collisionality-extended Braginskii's closure formalism for toroidally-rotating plasmas with nonlinear successive overrelaxation

description: TransROTA (Transport analysis based on ROTAtions) is a code that solves the axisymmetric version of Stacey-Sigmar extended plasma rotation model based on a collisionality-extended Braginskii's closure formalism with realistic d-shaped flux surface geometry in toroidally-confined plasmas [Nucl. Fusion 53 (2013) 043,011]. The Stacey-Sigmar model is unique in rotation and transport calculations by retaining all the terms in the angular momentum balance and by considering the first-order poloidal asymmetries in density, velocity, and electrostatic potential, for a higher accuracy in rotation calculations. TransROTA code evolves out of an earlier two-ion code GTROTA [Comp. Phys. Comm. 184 (2013) 2571–2587] and is developed for more practical studies on rotation and transport of up to five ion species (including deuterium and carbon). The main practical application is focused on intrinsic rotation studies. TransROTA requires a well-calibrated radial velocity profile of carbon impurity as one of the 21 required inputs. Once provided, TransROTA stably converges its nonlinear iterations with locally-optimized Successive Overrelaxation (SOR) scheme only, which is a remarkable improvement from GTROTA. This stable convergence is achieved by both modified application of the model equations and improvement in the numerical method. The new numerical scheme successfully removes the numerical instability issues commonly observed in GTROTA to make TransROTA not only to robustly converge the solutions but also to be faster and user-friendly.
DOI: 10.17632/ww5r5cmvhp
title: BLACKBEANS CURRY

description: Dataset Description: Black Bean (Cicer arietinum) Good and Bad Classification

1. Overview

This dataset consists of images of black beans (Cicer arietinum) captured for classification into "Good" and "Bad" categories. The dataset is designed for automated quality assessment based on visual properties. The images were collected under standardized conditions to ensure consistency and accuracy in classification.

2. Data Collection

Total Samples: 500+ black beans (Good and Bad).

Camera Used: iPhone 15 mobile camera.

Lighting Conditions: Natural daylight.

Background: White background for clear contrast.


3. Image Characteristics

Resolution: High-resolution images ensuring detailed visibility of bean surface texture.

Orientation: Beans placed flat, allowing clear identification of surface features.

Focus: Sharp images highlighting key attributes such as color, texture, and defects.

Color Representation: The dataset captures variations in black shades, distinguishing fresh (good) beans from aged or damaged (bad) ones.


4. Classification Criteria

Good Black Beans:

Deep black or dark brown color with a smooth, glossy surface.

Uniform size and shape without cracks.

Hard texture, indicating freshness.


Bad Black Beans:

Discoloration, including faded, dull, or reddish shades.

Wrinkles, cracks, or damaged outer shells.

Mold, insect damage, or shriveled appearance.

Irregular shape or size variations.



5. Application and Use Cases

Machine learning and deep learning models for automated quality classification.

Quality control in agriculture, food processing, and storage.

AI-based grading systems for commercial black bean sorting.

Research on bean spoilage and preservation techniques.


6. Potential Preprocessing Steps

Image Resizing: Standardizing dimensions for model training.

Augmentation: Adjusting brightness, contrast, and rotation for dataset robustness.

Background Processing: Ensuring focus on beans by segmenting out the white background.

Feature Extraction: Analyzing color, shape, and texture for enhanced classification accuracy.


This dataset provides a valuable foundation for AI-driven agricultural quality assessment, enabling automated classification of good and bad black beans with precision.
DOI: 10.17632/znthhmjg7r
title: 2HDECAY—A program for the calculation of electroweak one-loop corrections to Higgs decays in the Two-Higgs-Doublet Model including state-of-the-art QCD corrections

description: We present the program package 2HDECAY for the calculation of the partial decay widths and branching ratios of the Higgs bosons of a general CP-conserving 2-Higgs doublet model (2HDM). The tool includes the full electroweak one-loop corrections to all two-body on-shell Higgs decays in the 2HDM that are not loop-induced. It combines them with the state-of-the-art QCD corrections that are already implemented in the program HDECAY. For the renormalization of the electroweak sector an on-shell scheme is implemented for most of the renormalization parameters. Exceptions are the soft-Z_2-breaking squared mass scale m^2_12, where an MS condition is applied, as well as the 2HDM mixing angles alpha and beta, for which several different renormalization schemes are implemented. The tool 2HDECAY can be used for phenomenological analyses of the branching ratios of Higgs decays in the 2HDM. Furthermore, the separate output of the electroweak contributions to the tree-level partial decay widths for several different renormalization schemes, computed consistently with an automatic parameter conversion between the different schemes, allows for an efficient analysis of the impact of the electroweak corrections and the remaining theoretical error due to missing higher-order corrections. The latest version of the program package 2HDECAY can be downloaded from the URL https://github.com/marcel-krause/2HDECAY.
DOI: 10.17632/myxryzr4z5
title: Parameterisation data for Hough v2 model

description: This is the parameterisation data used in this article:
"Predictive Modeling of Plant Uptake of Pb and Cd: Implications of Aerial Deposition and the Origin of Parameterisation Data"

The parameterisation data are a selection frome the Hogh data base, which is described in the method part of the article.
DOI: 10.15468/dl.88jeep
title: Occurrence Download

description: A dataset containing 6367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Philodromus cespitum (Walckenaer, 1802)"
 ]
}

 The dataset includes 6367 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001500-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5635rkshm7
title: Instances for “A Branch-and-Cut Approach for the Weighted Target Set Selection Problem on Social Networks”

description: We provide the instances used in the paper “A Branch-and-Cut Approach for the Weighted Target Set Selection Problem on Social Networks”, by S. Raghavan and Rui Zhang, published in the INFORMS Journal on Optimization (https://doi.org/10.1287/ijoo.2019.0012) . This repository contains the 260 instances used in the paper. All the instances used in the paper are provided in a compressed archive. The accompanying data is contained in the following file: --InstancesWTSS.zip Description: There are two main folders: One called "Real-World Graphs" contains 180 instances based on real-world graphs. The other one called "Simulated Graphs" contains all instances based on simulated graphs. Within the Simulated Graphs folder, 50 200-node instances are in the "200 Nodes" folder and 30 large instances are in the "Large" folder. For each text file, there are m+2 lines. The first m lines are the edges in the graphs. Nodes are labeled from 0 to n where n is the largest number in the first m lines. The (m+1)th line contains the weight (b) for each node. The (m+2)th line contains the threshold value (g) for each node. The excel file “WTSS_Results.xlsx” reports, for each instance, the upper and lower bounds obtained in the paper.
DOI: 10.17632/ptcvxwjmmp
title: Paying-It-Forward: How Does Social Comparison Impact on Greed Decision-making?

description: This study investigates the effects of social comparison on the greed decision-making. We adopted ERP technology and relevant experimental paradigms and got some interesting conclusion.Behaviorally, there is less greed behaviors in the downward comparison. However, social comparison does not affect paying-it-forward (PIF) greed, which means that individuals tend to treat an uninvolved third person in a greedy way after encountering the greedy treatment of others. There is no interaction effect between social comparison and the way of being treated. On the neural level, the interaction effect indicated that individuals were inclined to keep more cognitive resources by suppressing information processing unfavorable to them, thus to do a greed decision-making.
DOI: 10.17632/w8zmyf7hc5
title: Defence heterogeneity in host populations gives rise to pathogen diversity

description: Data for the manuscript entitled "Defence heterogeneity in host populations gives rise to pathogen diversity" by Hoang K, Read T, and King K.
DOI: 10.17632/hwtd7n6wxv
title: Verification of CRISPR editing and finding transgenic inserts by Xdrop™ Indirect sequence capture followed by short- and long- read sequencing

description: Two reconstructed APOE reference loci on GRCh38.p13 Chr19:44,900,000-44,920,000 including corresponding pEasy Flox fragments of 3.4 kb and 4.4 kb. A reconstructed Pax8-CreERT2 reference loci on GRCm38.p6 chr1: 93570239-93676772.
DOI: 10.17632/zfhhtcj44c
title: PROTOUCH-KANSEI

description: This dataset contains the data used in the article "Exploring visual and tactile perception of plastic textures for car interiors: A Kansei Engineering approach", currently submitted to the Journal "Materials & Design"
DOI: 10.17632/4zjt7kcnb8
title: Datasets-Synergy between adaptations and resilience of livelihood from climate change vulnerability

description: Farm household survey data
DOI: 10.17632/c36j9drkw8
title: Exploring Refugee High School Student Involvement in Leisure and Active Citizenship

description: Qualitative and Quantitative data for the project titled Exploring Refugee High School Student Involvement in Leisure and Active Citizenship
DOI: 10.17632/nyxd78m4fj
title: Recursive evaluation of 3j and 6j coefficients

description: Title of program: J1-RECURSION OF 6J-COEFFICIENTS Catalogue Id: ACWS_v1_0 Nature of problem Subroutine REC6J generates 6j-coefficients from the exact solution of a recursion equation. The algorithm is more efficient and accurate than those based on explicit expressions, particularly, in the commonly arising case in which a complete set of 6j-coefficients is needed. The algorithm is numerically stable for large quantum numbers which occur in problems of molecular dynamics. Versions of this program held in the CPC repository in Mendeley Data acws_v1_0; J1-RECURSION OF 6J-COEFFICIENTS; 10.1016/0010-4655(76)90058-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/d74xzc9kz7
title: Structural neuroplasticity after sleep loss modifies behavior and requires neurexin and neuroligin

description: Tables containing all data for figures and graphs included in "Structural neuroplasticity after sleep loss modifies behavior and requires neurexin and neuroligin." Data labelled by figure and panel.