cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16832686.v2
title: Inputs (.csv spreadsheets) for 'Conservation implications of a mismatch between data availability and demographic impact'

description: This dataset contains estimates of the following vital rates (as required to parameterise matrix population models), for the common eider (<em>Somateria mollissima</em>): 1st year survival (measured either from hatching, or from fledging, to 1 year old); 2nd year survival; adult annual survival; first breeding (both age-specific recruitment probability, and breeding propensity across potential recruitment ages); breeding propensity of established female breeders; clutch size; hatching success; and fledging success. These estimates are drawn from 134 studies, across the scientific and grey literature – including three previously inaccessible datasets on clutch size that were contributed in response to a call for data through the IUCN Species Survival Commission’s Duck Specialist Group (IDs 127, A and B). This is a relational database, linking estimates and associated metadata to the relevant study (or unique unpublished combination thereof) by a unique ID number in the 'MASTER' sheet. The files in this dataset closely correspond to those in the Dryad datatset linked below, with minor edits to facilitate their use in meta-analysis (see details in the README here). For further information, refer to the Dryad database (linked below), the Ecological Solutions and Evidence publication associated with that database (https://doi.org/10.1002/2688-8319.12108), or the pre-print entitled 'Conservation implications of a mismatch between data availability and demographic impact' (DOI: 10.22541/au.165337565.54669681/v1), which uses these inputs. There is also a 'probability matrix' .csv file, used for the background of pre-print Figure 4 (to be read into the output code), and equivalent plots for pre-print Appendix D (to be read into the comparative code). <br> ** 2023/02/20 edits - to MASTER, hs, and README - reflect minor corrections to the underlying Dryad database **
DOI: 10.17632/6rkxx9j2wr
title: code

description: Boosting the Vat Photopolymerization Fidelity through a Machine Learning based Boundary Prediction
DOI: 10.17632/wjpbtgdyzm
title: A multi-sensory dataset for the activities of daily living

description: The dataset contains multiple instances of 9 Activities of Daily Living (ADL)-related actions namely Walk, Sit Down, Stand Up, Open Door, Close Door, Pour Water, Drink Glass, Brush Teeth and Clean Table. Each of the 10 volunteers performed each activity at least 14 times, with the notable exception of the walking activity that has been performed 40 times, in different sequences and alternating the used hand. For each volunteer, the dataset contains 7 CSV files, i.e., one file for each of the 6 IMU sensors worn by the volunteer on different body parts, as described in Figure 1, namely left lower arm (lla.csv), left upper arm, (lua.csv), right lower arm (rla.csv), right upper arm (rua.csv) and right thigh (rt.csv). Each file contains the overall sequence recorded during the experiment. The first column contains a label "qags" indicating the type of recorded data (quaternions, acceleration, angular velocity). The next column is the time-stamp in milliseconds elapsed from 00:00:0.000 AM (with a 30 milliseconds sampling time). The next four columns are the quaternions (with a resolution of 0.0001 ). Following them, we have three columns with the accelerations along the x, y and z axes (with a 0.1 mG resolution). The last three columns refer to the angular velocity about the x, y and z axes (with a 0.01 dps resolution). The last CSV file (annotation.csv) contains the data labelling. The first two columns of this file contain the time in the format hh.mm.ss.000 (current day time) and in milliseconds elapsed from 00:00:0.000 AM. All the remaining columns are organised as couples where the first element represents the scope of the labelling and the second indicates whether the labelled activity is starting or ending. In the annotation file, there are four different labelling scopes. • “BothArms”: all instances of each activity are labelled independently of which arm has been used; • “RightArm”: are labelled the activity instances using only the right arm, or in case they belong to the Walk, Sit Down or the Stand Up activities; • “LeftArm”: are labelled the activity instances using only the left arm, or in case they belong to the Walk, Sit Down or the Stand Up activities; • “Locomotion”: in this scope are labelled only the instances of Walk, Sit Down and Stand Up. Finally, the last two columns report a session ID. There are four different sessions characterised by the order in which the activities are performed, and by the used arm (see also Table 3), and whether the session starts or ends. The videos recorded during the experiments have been only used for labelling purposes, and they are not published. Together with the dataset, we provide a MATLAB script named TimeStampExtraction.m that extract from the annotation and the data files, for each volunteer and for each sensor, the time stamp associated with the start and end of each ADL.
DOI: 10.17632/y7c66ky4sx
title: Examining the relationship between the accreditation of engineering programmes and institutional performance - Supplementary Material

description: Supplementary data for journal paper "Examining the relationship between the accreditation of engineering programmes and institutional performance" Purpose: The purpose of this study is to examine the relationship between Engineering Programme Accreditation (EPA) and Institutional Performance (IP) using perceptual measures. Two IP dimensions have been explored to test this relationship: graduate employability and student retention and attrition. Design/methodology/approach: This quantitative research is based on the perceptions of 211 academic staff holding a range of positions within 15 Higher Education Institutions (HEIs) located in the Gulf Cooperation Council countries (GCC). Linear regression was used to test the relationships in the data. Findings: The empirical analyses proved that EPA has a statistically significant positive relationship with the IP dimensions: graduate employability, student retention and attrition. Data consists of three tables showing (1) Accredited and unaccredited engineering programmes; (2) Response rate for GCC HEIs; (3) Survey items
DOI: 10.17632/fgn2chjdnz
title: Mineralogical, geochemical, and geophysical logs of the Lower Cretaceous (Middle Aption-Early Albian) Shahezi Formation in the Lishu Rift Depression, Songliao Basin, NE Asia

description: Mineral compositions, major element concentrations, geochemical pyrolysis, and wireline logging curves were measured for the Lower Cretaceous (Middle Aption-Early Albian) Shahezi Formation rocks, which were recovered by the JLYY1 borehole in the southeastern Songliao Basin for continental shale gas resource exploration.
DOI: 10.17632/5xjdgvjb84
title: Raw data from measurements of gas hydrate equilibrium conditions in the CO2–H2O and CO2–H2O–dimethyl sulfoxide systems

description: The folder named 'Raw data CO2+H2O+DMSO' contains the raw data for the measurements of the hydrate equilibrium conditions in the carbon dioxide–water and carbon dioxide–water–dimethyl sulfoxide (DMSO) system. The three-phase vapor–aqueous solution–gas hydrate equilibrium for CO2–H2O and CO2–H2O–DMSO systems was measured at various pressures and temperatures (243–283 K, 1–4.5 MPa, 0–50% DMSO) and the results are described in [1,2]. The non-invariant four-phase vapor–aqueous solution–ice–gas hydrate equilibrium for the CO2–H2O system was directly measured for the first time (T = 271.60 ± 0.01 K and P = 1.044 ± 0.002 MPa, lower quadruple point Q1, see [3] for details).
Forty-six points of three-phase vapor–aqueous solution–gas hydrate equilibrium were measured. For each one there is a separate file with the extension .dat (or .xlsx) containing the values of time, temperature (°C) and gauge pressure (bar), stirrer speed (rpm) in the GHA350 autoclave. The column labeled 'Temperature (ｰC) Bath' contains the measured temperature values in the autoclave at each time point. The file name represents the point number, which is from Table 2 of the data paper [2]. Six independent measurements of the four-phase vapor–aqueous solution–ice–gas hydrate equilibrium were made.

The raw data is linked to the papers:
[1] Anton P. Semenov, Rais I. Mendgaziev, Andrey S. Stoporev, Vladimir A. Istomin, Daria V. Sergeeva, Timur B.Tulegenov, Vladimir A.Vinokurov (2022) Dimethyl sulfoxide as a novel thermodynamic inhibitor of carbon dioxide hydrate formation // Chemical Engineering Science, 255, 117670 DOI: 10.1016/j.ces.2022.117670 
[2] Anton P. Semenov, Rais I. Mendgaziev, Andrey S. Stoporev, Vladimir A. Istomin, Daria V. Sergeeva, Timur B. Tulegenov, Vladimir A.Vinokurov (2022) Dataset for the dimethyl sulfoxide as a novel thermodynamic inhibitor of carbon dioxide hydrate formation // Data in Brief, 42, 108289 DOI: 10.1016/j.dib.2022.108289
[3] Anton Semenov, Rais Mendgaziev, Andrey Stoporev, Vladimir Istomin, Timur Tulegenov, Murtazali Yarakhmedov, Andrei Novikov, Vladimir Vinokurov (2023) Direct Measurement of the Four-Phase Equilibrium Coexistence Vapor–Aqueous Solution–Ice–Gas Hydrate in Water–Carbon Dioxide System // International Journal of Molecular Sciences, 24(11), 9321 DOI: 10.3390/ijms24119321
DOI: 10.17632/8yrt523khm
title: Replication Data for "The Distributional Impacts of Transportation Networks in China"

description: See the readme files inside for instructions. All the data and codes required to replicate the results in "The Distributional Impacts of Transportation Networks in China."

The files here do not contain the pixel-level time cost data. The pixel and segment-level data are hosted on Github at this link: https://github.com/malin84/transportation_networks_of_china/
DOI: 10.17632/gg9vykbvgn
title: book files "Metodologías de cálculo actuarial a través de excel"

description: book files "Metodologías de cálculo actuarial a través de excel"
DOI: 10.17632/r46wfcj9hw
title: Fire stimulates seedling recruitment from the seed bank in the Cerrado

description: Seed bank seedling density per plant species from sites with different fire histories, before and after prescribed fires, in open savannas of the Cerrado in Southeastern Brazil.
DOI: 10.17632/tww5fbwy62
title: Supplementary Material for JAAD

description: Supplementary Material for Efficacy and Safety of Intense Focused Ultrasound for Skin Rejuvenation: A Systematic Review and Meta-analysis
DOI: 10.6084/m9.figshare.26232527.v1
title: <b>From Trust to Transaction: The Role of Micro-Influencer Image Satisfaction and Advertising Trust in Shaping Purchase Intentions</b>

description: This research tries to explore the factors that contribute to forming attitudes towards micro-influencers on social media. We explore the antecedents through which SMIs create image satisfaction and advertising trust leading to purchase intention. Taking a sample of 748 Instagram users in Gujarat, India the conceptual model was tested using Structural Equation Modelling on AMOS and SPSS statistical software. The study examined the hypothesis testing the attitudes of consumers (image satisfaction and advertising trust) towards SMIs. It was hypothesized that three variables namely attractiveness, originality and expertize positively affect attitudes of consumers. Through analysis, it was found that all hypotheses were supported except two. Expertize did not impact image satisfaction significantly and advertising trust did not impact purchase intention significantly. A complete theoretical framework is presented based on the influence of micro influencers who are increasingly being used for advertising and marketing. This study provides a thorough understanding of the variables influencing purchasing intention, which benefits both academics and practitioners.
DOI: 10.6084/m9.figshare.29117525.v2
title: Supplementary Material for review (Revealing the co-occurrence patterns of the group emotions from social media data)

description: his repository includes the data, code, and step-by-step instructions for reproducing the findings presented in our IJGIS manuscript, including Tables 1、3、4 and Figures 1–9. All files are anonymized and provided to support reproducibility.Section Figure/Table Script(s) Input Output3.1 Table 3 Code/bert.py data/wh_data_cleaned.csv Model accuracy assessment3.1 Table 4 Code/bert.py data/wh_data_cleaned.csv Examples of emotional structures3.1 Figure 4 Code/graph.py Result/bert/wh/128 Different types of emotions3.2 Figure 5 Code/mode_heatmap.py sentiment_density.csv Distribution of kernel density 3.3 Figures 7-8 Code/tree_v2.py Result/bert/wh/128/clustering_results.pkl Emotional grid management 4.2 Table 5-6 Code/tree_v2.py Result/bert/wh/128/clustering_results.pkl indexSection Figure/Table Source/Production Methods Output2.2 Table 1 data/wh_data_cleaned.csv Examples of data 2.2 Figure 1 ArcGIS pro Heatmap of the social media data 2.2 Figure 2 Customize images based on power point The proposed framework2.2 Figure 3 Customize images based on power point Fixed Grids vs. Adaptive Grids3.2 Figure 6 Data/emotion_prediction_wh.csv(Customize images based on EXCEL) Percentages of different emotional patterns4.1 Figure 9 Data/emotion_prediction_wh.csv(Customize images based on EXCEL) Histogram of comparisons among different types of emotions
DOI: 10.17632/kzv4ky9g6k
title: Data for "Que país é esse?: estudo decolonial, com uso da semiótica, sobre o discurso de desenvolvimento em campanhas das Havaianas" published by BAR - Brazilian Administration Review

description: This dataset is related to the article "Que país é esse?: A decolonial study using semiotics on the discourse of development in Havaianas' campaigns", published by BAR - Brazilian Administration Review. It includes all the images featured in the article and represents the visual materials used in the analysis. This study aims to analyze, from a decolonial perspective on the discourse of development, how advertisements used by a Brazilian company contribute to the construction of an image of development/underdevelopment of the country, focusing on the case of the Havaianas brand. The analysis revealed that Havaianas advertisements exploit elements of a stereotyped Brazilian identity, emphasizing natural aspects and the notion of Brazil as a 'tropical paradise', thus reinforcing perceptions of supposed underdevelopment. It also sheds light on how advertisements perpetuate coloniality within the marketing field.
DOI: 10.17632/9fckvw84z8
title: Natural Data-augmentation for Skin Lesions (ISIC-2017 Challenge Dataset)

description: Data augmentation techniques may mitigate many limitations of datasets, such as imbalanced data among the classes of skin lesions and heterogeneous sources of data, by adding augmented samples with different image transformations, such as rotation, random crop, horizontal and vertical flip, translation, shear, color jitter, and colorspace. It is proven in many studies that data augmentation improved the diagnosis of skin cancer. In the HAM10000 dataset, the skin lesion images were captured at different magnifications or angles or with different cameras, a process known as natural data augmentation. We used a deep learning architecture called Faster R-CNN to develop the algorithm to generate augmented copies similar to the natural data-augmentation for ISIC-2017 challenge dataset.
DOI: 10.17632/4kdtskdtmc
title: [Dataset] Innovative green composites: Material characterization of starch-based nanoscaffolds reinforced with Sargassum ilicifolium-mediated copper oxide nanostructures

description: This dataset provides a comprehensive physicochemical characterization of novel starch-based nanoscaffolds incorporated with copper oxide (CuO) nanostructures synthesized via a green route using Sargassum ilicifolium, a marine brown alga known for its rich phytochemical content. The bio-reduction approach enables an environmentally benign synthesis of CuO nanoparticles, promoting sustainability in nanomaterial development. A series of advanced analytical tools were employed to evaluate the structural, morphological, thermal, and optical properties of the resulting nanocomposites. UV–visible spectroscopy confirmed the successful formation of CuO nanostructures through distinct absorption peaks. Fourier-transform infrared spectroscopy (FT-IR) identified key functional groups involved in the capping and stabilization of nanoparticles within the starch matrix. X-ray diffraction (XRD) patterns revealed the crystalline phases of the embedded CuO, verifying their structural integrity. Scanning electron microscopy (SEM) provided visual insights into surface morphology and nanoparticle distribution across the scaffold. Thermogravimetric analysis (TGA) assessed the thermal stability and decomposition profile of the composites. Dynamic light scattering (DLS) determined the hydrodynamic size and dispersity of the nanoparticles, indicating stable colloidal behavior. Overall, this dataset offers valuable insights into the green fabrication and material profiling of bio-nanocomposites with potential applications in biomedicine, packaging, and environmental remediation.
DOI: 10.17632/nf3gds4zk9
title: Traffic and Emission data

description: Traffic data (Location: Thamrin) from Jakarta Transportation Department; emission data (location: Bundaran HI) from the Ministry of Environment and Forestry
DOI: 10.17632/ws3bbcndfw
title: Data and analysis files for Parker, Kelly et al "Evaluating the Effects of Cognitive Fatigue on Youth’s Energy Intake"

description: The underlying data in SPSS and the SPSS syntax file, plus the manuscript and supplemental material, are supplied for Parker, Kelly et al, "Evaluating the Effects of Cognitive Fatigue on Youth’s Energy Intake" submitted to Eating Behavior.
DOI: 10.17632/zc2jz2vtr5
title: Mendeley Supplemental Figures: The molecular anatomy of mouse skin during hair growth and rest
DOI: 10.17632/vfywjgs8v4
title: Bio-inspired underwater vehicles data

description: Please find the geometry for the bio-inspired underwater vehicles herewith.
For further details, please refer to the article 'Bio-inspired profile improving the flow near the stern of an underwater vehicle'.
DOI: 10.6084/m9.figshare.19180664.v2
title: CODCLAB_Level1&2&3

description: CODCLAB_Level1 The Level 1 data in tiff format stores the original static or time series rater data set of CODCLAB, e.g., topography, climate, anthropogenic, and soils data set. <br> CODCLAB_Level2 Lake-basin scale characteristics assigned to the basins are stored in shapefiles associated with lake-basin polygons, such as supply coefficient of lakes, etc. <br> CODCLAB_Level3 All lake-basin attributes are provided in Level 3 tables associated with the lake ID, i.e., ‘Anth_CODCLAB.xlsx’ file, which stores anthropogenic information including lake ID, population density, GDP, etc.
DOI: 10.17632/5nhx7tgrxc
title: Free-ranging short-finned pilot whales morphometric measurements from aerial photographs (North Atlantic)

description: DATABASE
UAV photogrammetry data on short-finned pilot whales (Globicephala macrorhynchus) collected in the Canaries (off Tenerife island in 2021 and 2022 years, lead PI: arranz@ull.edu.es), the Lesser Antilles (off Dominica in 2017 lead PI: shane@thespermwhaleproject.org) and the Azores (off Terceira island in 2018 and 2021 years, lead PI: fleurvisser@gmail.com).  
Please contact the respective lead PI for any use of the data set and information provided here.

PERMITS
In the Canaries, the UAVs were operated under an UAV Operator licence (Register # 2020064914) and an Advanced certificate of aircraft piloted by remote control (RPA20605OT and RPA20605OP) under the Spanish Aviation Safety and Security Agency (AESA). Research was conducted under a research permit from the Spanish Ministry for the Ecological Transition and the Demographic Challenge (permit AUTSPP/41/2020). In Dominica, research was undertaken under permit #RP16-04/88FIS-9 in 2016 and #RP17-08/12FIS-1 from the Fisheries Division of the Ministry of the Blue and Green Economy of the Government of Dominica.

FUNDING
Research in Tenerife was supported by the Agustín de Betancourt Fellowship financed by the Cabildo of Tenerife and the Canary Islands Development Fund (FDCAN),  the Technology Transfer Office of the University of La Laguna, the Spanish Foundation for Science and Technology project FILMAR (FCT-19-1441), the Canary Agency for Research, Innovation and Information Society project START-BLUE (ProID2021010029) and the Canary Islands Government project INMAR (EIS-2020-07). Research in Dominica was funded through a FNU fellowship for the Danish Council for Independent Research supplemented by a Sapere Aude Research Talent Award, a Carlsberg Foundation expedition grant, a grant from Focused on Nature, and a CRE Grant from the National Geographic Society to SG; a FNU Large Frame Grant and Villum Foundation Grant to Peter T. Madsen at Aarhus University; and supplementary grants from the Arizona Center for Nature Conservation, Quarters For Conservation, the Dansk Akustisks Selskab, Oticon Foundation, and the Dansk Tennis Fond.
DOI: 10.17632/7yns77mnsh
title: Efficacy of nicotine replacement therapy, bupropion, and both for treating nicotine addiction
DOI: 10.17632/6dnw4dymkp
title: Statistical dataset on water sorption isotherms in roasted specialty coffee (Coffee arabica L.)

description: This work presents a comprehensive dataset of adsorption isotherms and infrared spectral data for roasted specialty coffee (Coffea arabica L.). The dataset includes adsorption isotherms for whole roasted beans and ground coffee at medium (850 µm) and fine (600 µm) particle sizes. Adsorption isotherms were experimentally determined using the Dynamic Dewpoint Isotherm (DDI) method, considering a water activity range from 0.1 to 0.9 and temperatures of 25, 35, and 45 °C. Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy was used to characterize the coffee samples spectrally. The dataset also provides two calibrated sorption models: Peleg and Double Logarithm Polynomial (DLP), which are highly suitable for practical applications, allowing users to predict the equilibrium moisture content of coffee as a function of water activity, temperature, and coffee type (whole beans or ground coffee). These tools offer valuable insights for researchers, coffee producers, and decision-makers in computing critical parameters related to roasted specialty coffee's shelf life, determining optimal packaging materials, and understanding the hygroscopic properties of coffee. The calibrated models could be used to optimize coffee storage processes and improve the understanding of water sorption behavior in different particle sizes. The dataset compiles the experimental adsorption isotherms and infrared spectra in Excel sheets according to the experimental conditions and replicates. Furthermore, this dataset includes different MATLAB® R2023a (The MathWorks Inc., Natick, MA, USA) files where the models have been calibrated with the experimental adsorption isotherms using the “Curve Fitting” tool and are available for their use in the coffee industry.
DOI: 10.17632/y9x53dzyhg
title: ISAO-cec2017-main

description: This data compression package contains a total of two folders, one being the test-cec2017-plot folder, which is used to evaluate the independent contributions of the three improvement modules. The other is the ISAO-cec2017-main folder to test the ISAO algorithm against the other five classical optimization algorithms.