cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25506865.v1
title: Supplementary Material for: Sex-dependent differences in the neural correlates of cocaine and emotional cue-reactivity in regular cocaine users and non-drug using controls: understanding the role of duration and severity of use

description: Introduction: The development of cocaine use disorder (CUD) in females is suggested to be more strongly related to neural mechanisms underlying stress-reactivity, whereas in males it is suggested to be more strongly related to neural mechanisms underlying drug cue-reactivity. Existing evidence, however, is based on neuroimaging studies that either lack a control group and/or have very small sample sizes that do not allow to investigate sex differences. Methods: The main objective of the current study was to investigate sex differences in the neural correlates of cocaine and negative emotional cue-reactivity within high-risk intranasal cocaine users (CUs: 31 males and 26 females) and non-cocaine-using controls (non-CUs: 28 males and 26 females). A region of interest (ROI) analysis was applied to test for the main and interaction effects of group, sex, and stimulus type (cocaine cues versus neutral cocaine cues and negative emotional cues versus neutral emotional cues) on activity in the dorsal striatum (DS), ventral striatum (VS), amygdala, and dorsal anterior cingulate cortex (dACC). 
Results: There were no significant sex or group differences in cocaine cue-reactivity in any of the ROIs. Results did reveal significant emotional cue-reactivity in the amygdala and VS, but these effects were not moderated by group or sex. Exploratory analyses demonstrated that emotional cue-induced activation of the dACC and VS was negatively associated with years of regular cocaine use in female CUs, while this relationship was absent in male CUs. 
Conclusions: While speculative, the sex-specific associations between years of regular use and emotional cue-reactivity in the dACC and VS suggest that, with longer years of use, female CUs become less sensitive to aversive stimuli, including the negative consequences of cocaine use, which could account for the observed “telescoping effect” in female CUs.
DOI: 10.15468/dl.8edyu3
title: Occurrence Download

description: A dataset containing 2372 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asterias amurensis Lutken, 1871"
 ]
}

 The dataset includes 2372 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013038-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8k27yjghh2
title: Research Data

description: Research data uploaded to the Catena journal
DOI: 10.6084/m9.figshare.16543611.v1
title: West Africa Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Kovacs, E., Borrego-Acevedo, R., Canto, R., Harris, D., Kennedy, E., Lyons, M., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., C., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. West Africa Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.16543611 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.19929980.v4
title: RC05.zip

description: Sample data for quasi periodic signal (superposition of sine waves; angular frequency ratio equals e= 2,718281828... )
DOI: 10.6084/m9.figshare.23243633.v1
title: The global mode-1 N2 internal tide model

description: Global mode-1 N2 internal tides observed using 27 years of satellite altimetry data from 1993 to 2019. The model is developed by a three-step mapping procedure that contains two rounds of plane wave analysis and a spatial bandpass filter in between. Thanks to the long data set and new mapping procedure, we are able to observe weak N2 internal tides, which have SSH amplitudes of several mm.
DOI: 10.6084/m9.figshare.25145585.v1
title: <b>Visualization and Standardized Quantification of Surface Charge Density for Triboelectric Materials</b>

description: Raw data for Visualization and Standardized Quantification of Surface Charge Density for Triboelectric Materials
DOI: 10.6084/m9.figshare.28395422.v1
title: Instances of "New formulations and a matheuristic for the multi-product multi-period inventory lot sizing with supplier selection problem"

description: This research considers the multi-product, multi-period inventory lot-sizing with supplier selection problem, which is a well known complex combinatorial optimization problem proven to be NP-hard. We address the problem from a modeling viewpoint, thus we propose three new mixed integer programming formulations. The first formulation takes advantage of a disaggregated set of constraints, the second one improves a facility location problem (FLP) formulation which is known to have good linear relaxation, but scales poorly and finally a variant of the FLP formulation that, through an auxiliary variable, reduces the size of the decisions variables in the model. Furthermore, we prove that the decision variable related to the production quantity from a supplier in any period always has integer values. Although we present exact mathematical formulations, we take advantage of the properties of the problem and propose a two-phase matheuristic for this problem. The performance of the proposed exact and approximated methodologies is evaluated by comparing them against the traditional formulation and the original FLP formulation using the literature benchmark instances. The new formulations and the matheuristic outperform the previous proposed formulations from the literature in solution quality, computational time, and in some cases scalability.The original instances from Basnet & Leung (2005) are those that do not have the N1 and N2 labels, which correspond to the instances proposed in Cardenas-Barrón et al. (2021).
DOI: 10.17632/prgh4bb3yf
title: Data on COVID-19 vaccine hesitancy among the adult population in Bangladesh

description: The Survey on hesitancy regarding the COVID-19 vaccine and associated factors has been conducted to grab a snapshot of behavioral aspects associated with the acceptance of the COVID-19 vaccine in Bangladesh and produce crucial information regarding the necessary outbreak measures to be taken to tackle the situation. This study focuses on the knowledge of COVID-19 & its vaccine, attitude toward COVID-19 vaccine, vaccine acceptancy, vaccine-related conspiracy, behavioral practice, and subjective norm related to the vaccine. The survey was carried out using a cross-sectional design with an online electronic survey and face-to-face interviews. The survey has generated data through an approximately 10-15-minute survey. Data were collected from 18 years and older Bangladeshi citizens. A sample size of 1533 has been determined through the use of statistical formula (the final sample size was 1497). Participants should take part in the survey voluntarily. The duration of the data collection was 10 days. This study explored the variables, such as knowledge of COVID-19 related vaccine, COVID-19 vaccine-related attitude, vaccine acceptancy, vaccine conspiracy, behavioral practice, subjective norm related to the vaccine, and socio-demographic status.
DOI: 10.5522/04/24243835.v1
title: Registered histology, MRI, and manual annotations of over 300 brain regions in 5 human hemispheres (data from ERC Starting Grant 677697 "BUNGEE-TOOLS")

description: Summary: <br> This repository includes data related to the ERC Starting Grant project 677697: "Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies" (BUNGEE-TOOLS). It includes: (a) Dense histological sections from five human hemispheres with manual delineations of &gt;300 brain regions; (b) Corresponding ex vivo MRI scans; (c) Dissection photographs; (d) A spatially aligned version of the dataset; (e) A probabilistic atlas built from the hemispheres; and (f) Code to apply the atlas to automated segmentation of in vivo MRI scans. <br> <br> More detailed description on what this dataset includes: <br> Data files and Python code for Bayesian segmentation of human brain MRI based on a next-generation, high-resolution histological atlas: "Next-Generation histological atlas for high-resolution segmentation of human brain MRI" A Casamitjana et al., in preparation. This repository contains a set of zip files, each corresponding to one directory. Once decompressed, each directory has a readme.txt file explaining its contents. The list of zip files / compressed directories is: <br> - 3dAtlas.zip: nifti files with summary imaging volumes of the probabilistic atlas. <br> - BlockFacePhotoBlocks.zip: nifti files with the blackface photographs acquired during tissue sectioning, reconstructed into 3D volumes (in RGB). <br> - Histology.zip: jpg files with the LFB and H&E stained sections. <br> - HistologySegmentations.zip: 2D nifti files with the segmentations of the histological sections. <br> - MRI.zip: ex vivo T2-weighted MRI scans and corresponding FreeSurfer processing files <br> - SegmentationCode.zip: contains the the Python code and data files that we used to segment brain MRI scans and obtain the results presented in the article (for reproducibility purposes). Note that it requires an installation of FreeSurfer. Also, note that the code is also maintained in FreeSurfer (but may not produce exactly the same results): https://surfer.nmr.mgh.harvard.edu/fswiki/HistoAtlasSegmentation <br> - WholeHemispherePhotos.zip: photographs of the specimens prior to dissection <br> - WholeSlicePhotos.zip: photographs of the tissue slabs prior to blocking. <br> We also note that the registered images for the five cases can be found in GitHub: https://github.com/UCL/BrainAtlas-P41-16 https://github.com/UCL/BrainAtlas-P57-16 https://github.com/UCL/BrainAtlas-P58-16 https://github.com/UCL/BrainAtlas-P85-18 https://github.com/UCL/BrainAtlas-EX9-19 These registered images can be interactively explored with the following web interface: https://github-pages.ucl.ac.uk/BrainAtlas/#/atlas
DOI: 10.6084/m9.figshare.26824903.v1
title: Chlamydomonas pacifica sequence files

description: Annotation, assembly, and proteins for Chlamydomonas pacifica strain 402
DOI: 10.6084/m9.figshare.3506822.v2
title: Iigaya et al - data for all sessions

description: The data_files.zip folder contains data for all 48 subjects as used in the Matlab analysis of Sessions 1-3. Each subject's data are in a separate excel file with the subject number (two digits) followed by _output as the filename. Each excel file contains 3 separate sheets as follows:<br>Sheet 1: Data from Session 1 (70 trials): ambig = ambiguity of the visual stimulus (see Methods section of paper); loss = threatened loss on each trial and wins = offered win (1= 0 pence; 2=10 pence; 3=20 pence; 4=30 pence etc.); choice = key pressed (1= SAFE key; 2 = REW key)<br>Sheet 2: Data from Session 2 (10 training trials - not analysed): key as for Sheet 1<br>Sheet 3: Data from Session 3 (250 trials): key as for Sheet 1<br>A separate excel file contains 'questionnaire data' (and is given this name). In this file: Subject = subject id; PleasantUnpleasant = treatment group (pl=pleasant, un=unpleasant); Questionnnaire data are identified by measure type (ValGrid= valence score on Affect Grid; ActGrid= activation score on Affect Grid; PA= positive activation on PANS; NA= negative activation on PANAS) and whether the measure was taken at baseline (pre), after Session 1 (during) or after Session 2 (post).
DOI: 10.6084/m9.figshare.9995846.v1
title: Mapping_2.zip

description: Mapped reads from Hendrikson et al. 2017, used as example input for TOBIAS software (https://github.com/loosolab/TOBIAS/) <br>
DOI: 10.17632/6g54g6s5rt
title: LINF_160017400

description: Hypothetical protein - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/tcb8dbtxt4
title: Servant leadership and commitment

description: This article presents data on the impact of servant leadership and commitment among university employees in Pakistan. The article has a quantitative research design and probability sampling technique. The population of the study n=323 includes university employees in randomly selected universities. SPSS and AMOS was used for statistical analyzing the data, Cronbach alpha test for reliability confirmed during the pilot study. Regression for statistical analysis done, and several different techniques used.
DOI: 10.6084/m9.figshare.11926722.v1
title: Training and Verification datasets.zip

description: This file includes the inputs of CNN1 (the fringe images of 1000 scenes), the output of CNN1 (the numerator and denominator terms used to calculate the wrapped phases), the inputs of CNN2 (the fringe patterns of 1000 scenes captured by two cameras, and the reference plane information) and the outputs of CNN2 (the fringe orders corresponding to 1000 scenes).
DOI: 10.6084/m9.figshare.15073671.v1
title: Supplementary Material for: Pediatric Tuberculosis Disease during Years of High Refugee Arrivals: A 6-Year National Prospective Surveillance Study

description: <b><i>Background:</i></b> In Europe, surveillance and monitoring of pediatric tuberculosis (TB) remains important, particularly in the light of migration in recent years. The aim of the study was to evaluate incidence rates of childhood TB and detailed diagnostic pathways and treatment. <b><i>Methods:</i></b> Data were collected through the Swiss Pediatric Surveillance Unit (SPSU) from December 2013 to November 2019. Monthly ­notifications are obtained from the 33 pediatric hospitals in the SPSU, and a detailed questionnaire was sent out upon notification. Inclusion criteria were children and adolescents aged up to 15 years with culture- or molecular-confirmed TB disease or for whom a treatment with ≥3 antimycobacterial drugs had been initiated. Data were compared with age-matched notification data from the Swiss Federal Office of Public Health (FOPH). <b><i>Results:</i></b> Of the 172 cases notified to SPSU, a detailed questionnaire was returned for 161 (93%) children, of which 139 met the inclusion criteria. Reasons for exclusion were age &gt;15 years, double reporting, and not fulfilling the criteria for TB disease. During the same time period, 172 pediatric TB cases were reported to the FOPH, resulting in an incidence of 2.1 per 100,000, ranging from 1.4 to 2.8 per year, without a clear trend over time. In the 64 (46.0%) foreign-born children, incidence rates were higher and peaked in 2016, with 13.7 per 100,000 (<i>p</i> = 0.018). The median interval between arrival in Switzerland and TB diagnosis was 5 (IQR 1–21) months, and 80% were diagnosed within 24 months of arrival. In 58% of the cases, TB disease was confirmed by culture or molecular assays. Age &gt;10 years, presence of fever, or weight loss were independent factors associated with confirmed TB. <b><i>Conclusion:</i></b> The annual pediatric TB incidence rate only varied among foreign-born children and was highest in 2016 when refugee influx peaked in Europe. Importantly, most foreign-born children with TB were diagnosed within 2 years after arrival in Switzerland. Thus, the early period after arrival in Switzerland is associated with a higher risk of TB disease in children, and this should be considered for screening guidance in refugees.
DOI: 10.6084/m9.figshare.27087736.v1
title: Sandy beaches contribution to the ocean silicon cycle

description: <b><i>Experimental data </i></b>Data sets provided include the silicon concentration evolution through time measured at different location in the wave channel for EXP0 and EXP1, namely <b>EXP0 </b>and<b> EXP1</b><br>Temperature and pH conditions throughout the experiments are also provided, namely <b>TpH EXP0</b> and <b>TpH</b> <b>EXP1.</b><b><i>Global up-scaling</i></b>The position of sandy beaches (after density filtering) is given by the <b>Beach positions.mat</b> file and contains both latitude and longitude coordinates. <br>
DOI: 10.6084/m9.figshare.14498046.v1
title: Supplementary Figure 3

description: Supplementary Figure 3 dataset<br>
DOI: 10.6084/m9.figshare.24440608.v2
title: Sedimentary organic nitrogen isotope records in the Northern South China Sea

description: The following supplementary datasets consist of informations of sedimentary organic carbon, biogenic silica and total and organic nitrogen and their stable isotopes collected in a well-dated sediment core (NH07) collected from the northern South China Sea in the summer of 2017.<br>
DOI: 10.6084/m9.figshare.4680715.v1
title: S1S2S3_Murg_20160406.zip

description: Airborne image data, Murg 2016/04/06
DOI: 10.6084/m9.figshare.7811633.v1
title: Dataset for: The dynamics of preferential host switching: host phylogeny as a key predictor of parasite distribution

description: New parasites commonly arise through host-shifts, where parasites jump to and become established in a new host species. There is much evidence that the probability of host-shifts decreases with increasing phylogenetic distance between donor and recipient hosts, but the consequences of such preferential host switching remain little explored. We develop a computational model to investigate the dynamics of parasite host-shifts in the presence of this phylogenetic distance effect. In this model, a clade of parasites evolves on an also evolving clade of host species and can cospeciate with the hosts, switch to new hosts, speciate within hosts or become extinct. Our model predicts that host phylogenies are major determinants of parasite distributions across trees. In particular, we predict that trees consisting of few large clades of host species and those with fast species turnover should harbour more parasites than trees with many small clades and those that diversify more slowly. Within trees, large clades are predicted to exhibit a higher fraction of infected species than small clades. We discuss our results in the light of recent cophylogenetic studies in a wide range of host-parasite systems.
DOI: 10.17632/68zgy243yb
title: VegNet: Vegetable Image Dataset

description: This dataset comprises 6,244 high-resolution JPG images of 40 distinct vegetable varieties, collected from street stalls and local markets in Mirpur, Dhaka City, Bangladesh. Captured under natural lighting conditions using a Smartphone HD camera, the images accurately represent each vegetable’s unique visual traits—including color, texture, and shape—for reliable categorization and analysis. The dataset spans diverse varieties such as Arum Lobe, Ash Gourd, Bitter Melon, Eggplant, Tomato, and Yardlong Bean, among others, ensuring comprehensive coverage. To facilitate computational analysis, the dataset includes both original and resized versions of the images, optimized for machine learning and computer vision applications. Collected between Jan 1 and March 15, 2025, this resource supports researchers, agronomists, and data scientists in advancing vegetable classification, agricultural technology, and food security initiatives. By providing a balanced and detailed visual repository, the dataset bridges the gap between real-world variability and AI-driven agricultural solutions.
DOI: 10.17632/t6yzxkwnc7
title: Pond-reed model

description: Data is organized as follows:

The file “PRF_ Baseline.xlsx” describes the actual baseline pond-reed model. In sense of PPS, it is formulated by state, transition, and connection elements, together with their initial values and the parameters. This VBA-supported MS Excel file serves as an input/output interface and provides the input for the simulation runs (executed by the simulation kernel program of PPS), and takes up the result. In this uploaded baseline case, VBA macros were removed, it aims to visualize the content of the actual model.
Worksheets are as follows:
Admin: Refers to the actual version of the simulation model (especially in case of scenario runs), and the ID is used for the naming of produced input files for the simulation runs.
State_list: Lists the applied compartments, and the corresponding state elements of the actual model
Transition_list: Lists the applied compartments, and the corresponding transition elements of the actual model
Network: Describes the connections, on the basis of the transitions.
States: Started from the data entered in Sheet State_list, provides an interface for the actual initial values and parameters, utilized by the simulation kernel.
Transitions: Started from the data entered in Sheet Transition_list, provides an interface for the parameters, utilized by the simulation kernel.
Define_output: Describe the detailed content of simulation output
Results: Detailed output of the simulation

 
The file “Transition_prototypes.xlsx” contains detailed information about the global variables, inputs, parameters, and outputs in the application specific (locally executable) program code of the model. 
Referred parameters, input and output variables are explained together with listing of their initial and parameter values, as well as their literature references.
Actually applied initial values and parameters can be followed in the respective States and Transitions worksheets of the supplied MS Excel interface files (PRF_ Baseline.xlsx, as well as the scenario files).


Folder “Scenario_runs” contains:
• File “List_of_Scenarios.xls” contains the details and naming of each input/output file regarding the analyzed scenarios. 
• Folder: “Scenario_results” contains files (.xls) with inputs/outputs for the 13 simulated scenarios.