cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26564140.v5
title: Global surface ocean fCO2 from CSIR-ML6 (v2024)

description: The CSIR-ML6-v2024 is an update to the original CSIR-ML6 method by Gregor et al. (2019), extending the CO2 data product until 2023-12-15. The following changes have been made:SOCAT-v2024 is used;ERA5 reanalysis wind data and mean sea level pressure (MSLP) are used (instead of ERA-interim);The gas-exchange coefficient (kw) used, is appropriately scaled for the ERA5 wind product as recommended by Fay and Gregor et al. (2021);fCO2, the sea surface fugacity of CO2 is reported as per the Global Carbon Budget recommendation instead of pCO2, the sea surface partial pressure of CO2.<br><b>NETCDF FILE:</b>The dataset is stored in a single netCDF file and it mainly contains the following data variables:sfco2 = surface fugacity of CO2 for the ensemble average (in µatm). Therefgco2 = air-sea CO2 fluxes (in mol m-2 yr-1).area = is the total surface ocean area per 1º by 1º grid cell (in m2) - doubles as mask for the data.sol: is the solubility of CO2 in seawater, in units mol m−3 𝜇atm−1, calculated using the Weiss (1974) parameterization with EN4 salinity and OISST temperatures.kw: is the gas transfer velocity, calculated for wind speed (ERA-5) scaled independently to a 14-C bomb flux estimate of 16.5 cm/hr using the quadratic formulation by Wanninkhof (1992).𝑖𝑐𝑒: is the ice fraction, i.e. the open ocean fraction, to account for the seasonal ice cover in high latitudes.afco2: is the atmospheric fCO2 from NOAA's marine boundary layer product.<br><b>CITATION</b>Please cite the dataset as Djeutchouang et al. (2024), see the DOI: 10.6084/m9.figshare.26564140, as well as the original publication by Gregor et al. (2019), see the DOI: 10.5194/gmd-12-5113-2019.<br><b>HOST</b>CSIR, Southern Ocean Carbon – Climate Observatory (SOCCO)
DOI: 10.6084/m9.figshare.5284483.v1
title: Python vs C

description: Data related to the paper "A controlled experiment on Python vs C for an Introductory Programming course: students' outcomes" by Jacques Wainer and Eduardo Xavier, to be published in ACM Transactions on Computer Education.
DOI: 10.17632/hxpmt994js
title: Dataset: A generalisable data-driven filtering methodology for Energy Performance Certification databases

description: The dataset supports the research conducted in "Defining a data-driven standardized generalizable methodology to validate a large EPC dataset, a case study in Ireland" by Raushan et al. (2024). It consists of a filtered Energy Performance Certificate (EPC) database for residential buildings in Ireland, obtained through rigorous data validation methods to eliminate erroneous entries and outliers. EPCs contain crucial details regarding building energy efficiency and characteristics. The original EPC database for Ireland is publicly accessible but contains over 1 million unfiltered entries with inconsistent and erroneous values, potentially biasing analysis. This processed dataset enhances the quality and reliability of EPC data for applications in building stock modeling and research. The data is openly available in .CSV format, accompanied by the methodology employed for processing the raw database, documented in comprehensive Python scripts. Supplementary notes and metadata provide insights into the filtering process, experimental design, and details of 213 variables categorized into informational, thermophysical, geometric, and system attributes. By making this standardized, data-driven filtered EPC dataset accessible, the research empowers stakeholders, both novice and expert, to utilize this higher quality input for understanding and analyzing the Irish housing stock.
DOI: 10.6084/m9.figshare.4658779.v1
title: FACS raw data Fig. 7

description: Here are the raw data of Fig. 7 as generated by the S3 Biorad flow cytometer using the ProSort software. The ROIs should be used according to the number of the experiment.
DOI: 10.17632/888872ygtv
title: KWV-1 Core and well log data set

description: Core log and well log of the SE part of the main Karoo Basin, South Africa.
DOI: 10.17632/9yn47cy5jv
title: Supplementary Data for the FRASE-bot / CIB1 manuscript

description: Input/output files for/from the FRASE-bot Pipeline Pilot protocols for CIB1.
DOI: 10.17632/rd2rc4r2vh
title: Dataset Based on Photoelastic Polarization Images

description: In the synthetic dataset, each set of four polarized images corresponds to the same stress field. In contrast, the real dataset is acquired separately based on different polarization directions.
DOI: 10.17632/tnkpz57ytd
title: Malaysia Fuel Price Data Set 1

description: Cleaned data for Modelling the  Malaysian fuel price, Ron 97
DOI: 10.6084/m9.figshare.19092749.v1
title: Oscilloscope data for SPAD quenched by adaptive resistive switch (ARS)

description: Oscilloscope data for adaptive resistive switch (ARS) which is used for figure 2-figure 4<br>Oscilloscope data of SPAD quenched by ARS for "Dynamic-quenching of a single-photon avalanche photodetector using an adaptive resistive switch" <br>
DOI: 10.6084/m9.figshare.22751654.v1
title: Manually validated and checked signals

description: compressed archive with {measurmentId}.npy files from contacless method for detecting partial discharges in xlpe cc power transmission lines
DOI: 10.6084/m9.figshare.24147900.v1
title: Baltic_cod_herring_isotopes_Karlson et al.xlsx

description: <i>Time series data (1980-2019) for carbon and nitrogen isotope composition in cod and herring from the Baltic Sea used in the manuscript "</i><b>Improving trophic position estimates from amino acid stable isotopes by accounting for physiology and environment</b><i>" (under second review for Ecosphere).</i><i> Fish have been sampled in the Swedish contaminant monitoring program (similar size of fish, same sampling site(s) and time each year). Collected fish have been stored frozen in the Environmental Specimen Bank prior to the retrospective isotope analyses in this project, which were performed at UC Davis Stable isotope facility (</i><i>δ</i><sup><em>15</em></sup><i>N in amino acids and bulk </i><i>δ</i><sup><em>15</em></sup><i>N and </i><i>δ</i><sup><em>13</em></sup><i>C</i><i>). Data from each year and species represent a pooled muscle tissue of ten individuals.</i><i>Sampling locations (October-November all years): Cod: 56° 53’N, 18° 38’E, </i><i>Herring: </i><i>58° 42’N, 18° 04’E</i>
DOI: 10.6084/m9.figshare.20110838.v1
title: Clinical data

description: The data records are organized into four folders, including Clinical data, Optical acquisition & imaging, Machine Learning (artificial intelligence, AI) based ROI scoring, and Colocalize. The structure of our data records is shown in Figure. 5. This is the Clinical data part of our data records.
DOI: 10.6084/m9.figshare.28457171.v1
title: Data for flatworm-Daphnia trial under light pollution

description: (from the manuscript)<br>"To explore the effects of flatworms on <i>Daphnia</i> abundance under artificial light at night (ALAN), we conducted a population growth experiment over 19 days. The experimental design consisted of a flatworm treatment (flatworm absent / present) crossed with an ALAN treatment (dark at night / light at night), using four replicates per treatment combination (N = 24)....The experiment ran for 19 days, during which we counted the number of <i>Daphnia</i> three times per week."<br><br>The column names in the data set are self explanatory.
DOI: 10.6084/m9.figshare.5660503.v1
title: Inference on the Gamma Distribution

description: This study develops inferential procedures for a gamma distribution. Based on the Cornish–Fisher expansion and pivoting the cumulative distribution function, an approximate confidence interval for the gamma shape parameter is derived. The generalized confidence intervals for the rate parameter and other quantities such as mean are explored. The proposed generalized inferential procedures are extended to construct prediction limits for a single future measurement and for at least <i>p</i> of <i>m</i> measurements at each of <i>r</i> locations. The performance of the proposed procedures is evaluated using Monte Carlo simulation. The simulation results show that the proposed procedures are very satisfactory. Finally, three real examples are used to illustrate the proposed procedures. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7320812.v1
title: Additional file 10: of Annual Dialysis Data Report 2016, JSDT Renal Data Registry

description: Table S10. Major causes of death, 1983â 2016. (XLSX 12Â kb)
DOI: 10.15131/shef.data.4602472.v2
title: The Standardised Tibia

description: This model was originally developed by Hans Gray and Riche Gill, at that time working at the Orthopaedic Oxford Engineering Centre, University of Oxford (UK), in the frame of a collaboration with Luca Cristofolini and Marco Viceconti, at that time based at the Medical Technology Lab of the Rizzoli Orthopaedic Institute, in Italy. The research that motivated the generation of this model was published here [ref1]. The fileset contains two STL surfaces representing the inner and outer surface obtained by segmenting a clinical CT of a composite tibia model 3101, at that time produced by Pacific Research Laboratories, Vashon, Washington, USA, that was then bought by Sawbones . The fileset was originally made available as Open Access to the research community in 2004 as part of the now defunct BEL Repository, which was then absorbed into the also now defunct PhysiomeSpace repository.
DOI: 10.17632/4t66cff89g
title: Data for: Not All Distances Are the Same: The Effects of Various Forms of Inter-Member Distances on Global Virtual Team Effectiveness

description: The data used in the present study in Stata format. Provided for the study review purposes. Please do not share or distribute otherwise.
DOI: 10.17632/c74wnj5vv3
title: Alloy Search and Predict outputs for 100,000 equimolar four-element combinations with the lowest microscopic thermal neutron absorption cross-section

description: A rapid high-throughput computational technique, for assessment of alloy formation, implemented into the program "Alloy Search and Predict (ASAP)" (www.alloyasap.com) was used to search for an alloy suitable as a nuclear reactor cladding material for generations III+ and IV reactors. It is advantageous for these materials to have low thermal neutron cross-sections, high melting temperatures and phase stability. A linear combination of the microscopic thermal neutron absorption cross sections (σ) was performed in combination with ASAP to make an assessment of the stability of the solid solution phase (Φ), mismatch in atomic radii (𝛿) and σ. Over 1 million unique equimolar four-element systems were evaluated were it was deemed that the Nb-Ti-V-Zr warranted further experimental and theoretical investigation. The full list of systems assessed by ASAP is available in the "Full_ASAP_output.csv" and the ASAP output data corresponding to the 100,000 combinations that have the lowest microscopic thermal neutron absorption cross-section are included in "100000_lowest_ASAP_dataset.xlsx".
DOI: 10.17632/yxk5vcjyww
title: DNCC WM dataset: Dhaka North City Corporation Waste Management Dataset

description: This dataset contains raw data, necessary correction, and author's calculations on the data from the Dhaka North City Corporation's waste management department and its private contractors. The purpose of data collection, was to test whether the local governments' administrative units (called 'wards') with privatized (contracted-out) waste collection service, collected significantly more waste than wards which were not privatized. All data is ward-wise, unless otherwise stated. Available data was collected on variables which may influence waste collection. Waste collection in this dataset refers to "secondary waste", which is the waste that is delivered from Secondary Transfer Stations (STS) to the landfill. The dataset contains monthly data on collected waste (in ton), number of trips, and number of workers, for the period 2017 January to 2019 December. 2020 data was avoided for likely disruption in typical average figures due to COVID-19. Monthly waste collection data prior to 2017 was unavailable. The monthly data on collected waste and number of trips, is the weigh-bridge data obtained with permission of the City Corporation waste management department. Monthly workers data, number of vehicles by type and capacity, and allotted fuel and trips, for the above period was also obtained from the City Corporation's waste management department and private contractors. Formal application requests were submitted as required.
In addition to monthly data, annual data is included for collected waste, population estimates, population density, and per capita per day waste collection. These were obtained from the City Corporation's annual waste reports. The annual figures are for financial years, spanning 3 financial years from 2016-17 to 2018-19.
Number of STS is also included, which was obtained from the City Corporation. The City Corporation had a list of all the STS for the period with their corresponding dates of establishment, and this was used to show the month-wise distribution of completed STS in the dataset.
The data is associated with a research article. The data columns for the author's correction and calculations on the raw data are present in the dataset, and can be updated in future as needed. All data has also been normalized using the Min-Max normalization formula. Calculated percentages (per capita) have also been normalized in the same way. Findings are discussed in the associated research article.
DOI: 10.6084/m9.figshare.16179339.v1
title: Sunshine duration

description: Gridded sunshine duration dataset during 1981-2016 (daily) at 0.01° for Peru.
DOI: 10.6084/m9.figshare.19354055.v1
title: Data for "Centennial memory of the Arctic Ocean for future Arctic climate recovery in response to a carbon dioxide removal"

description: Data for "Centennial memory of the Arctic Ocean for future Arctic climate recovery in response to a carbon dioxide removal"
DOI: 10.6084/m9.figshare.1625355
title: A coupled analytical model for salt intrusion and tides in convergent estuaries

description: In this paper we develop a coupled analytical model for salinity and tidal propagation in estuaries where the cross-sectional area varies exponentially. A simple analytical model for tidal dynamics has been used to estimate the tidal excursion, which has an important influence on the salt intrusion process since it determines the extreme salinities (i.e. salinity distribution for high water slack and low water slack). The objective of the coupling is to reduce the number of calibration parameters, which subsequently strengthens the reliability of the salt intrusion model. Moreover, the coupling enables us to assess the potential impacts of external changes, both human-induced interventions (e.g. dredging) and natural changes (e.g. global sea level rise), on the salt intrusion process. In addition, the fully analytical solution for hydrodynamics allows immediate estimation of the tidally averaged depth and friction coefficient for given water level recordings and salinity measurements. This is particularly useful when a geometric survey is not available. The coupled model has been applied to six previously unsurveyed estuaries in Malaysia and the results show that the correspondence between analytical estimations and observations is very good. Thus, the coupled model proves to be a useful tool to obtain estimates of salt intrusion in estuaries based on a minimum amount of information required and for assessing the effect of human-induced or natural changes. <b>EDITOR</b> D. Koutsoyiannis <b>ASSOCIATE EDITOR</b> B. Dewals <b>EDITOR</b> D. Koutsoyiannis <b>ASSOCIATE EDITOR</b> B. Dewals
DOI: 10.6084/m9.figshare.17111453.v1
title: data

description: data for multiple linear regression analysis on the evaluation factors of resident demand
DOI: 10.6084/m9.figshare.28248977.v1
title: Ft_TypeB_Table S2.xlsx

description: Supplemental material for submission of the manuscript titled "Virulence and genome analysis of three historical <i>Francisella tularensis</i> ssp <i>holarctica</i> isolates for development of a Type B test panel."
DOI: 10.17632/2fh69dt922
title: Data Structures in Java: Active Learning Techniques to Enhance Learning in STEM

description: This dataset contains a collection of scholarly articles focused on the implementation of active learning techniques in data structures courses, with a particular emphasis on Java programming and its application in enhancing student learning in STEM (Science, Technology, Engineering, and Mathematics) disciplines. This collection provides a comprehensive view of various teaching strategies that promote deeper and more meaningful learning through active methods. Each included article has been selected for its relevance, accessibility (Open Access), and contribution to educational practice in programming and data structures.

Keywords: Active learning, data structures, Java programming, STEM, education, teaching strategies, student engagement.

This dataset provides a solid foundation for research and implementation of active learning techniques in data structures and programming courses, benefiting educators and students in the STEM field.

Dataset Contents:

Learning more about active learning
Author: Graeme Stemp-Morlock
DOI: 10.1145/1498765.1498771
Publication Date: April 1, 2009
Abstract: Discusses how active learning algorithms can reduce label complexity compared to passive methods.

A Compendium of Rationales and Techniques for Active Learning
Author: C. Reiness
DOI: 10.1187/CBE.20-08-0177
Publication Date: October 1, 2020
Abstract: Provides a collection of strategies for promoting active learning.

Defining Active Learning: A Restricted Systemic Review
Authors: Peter Doolittle, Krista Wojdak, Amanda Walters
DOI: 10.20343/teachlearninqu.11.25
Publication Date: September 22, 2023
Abstract: Defines active learning as a student-centered approach to knowledge construction focusing on higher-order thinking.

The Curious Construct of Active Learning
Authors: D. Lombardi, T. Shipley
DOI: 10.1177/1529100620973974
Publication Date: April 1, 2021
Abstract: Discusses the different interpretations of active learning in STEM domains.

Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Authors: Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, E. Xing, Min Xu
DOI: 10.1093/bioinformatics/btab123
Publication Date: February 23, 2021
Abstract: Proposes a hybrid active learning framework to reduce labeling burden in cryo-ET tasks.
DOI: 10.17632/9d7mhxzt9g
title: Selective pressures of platinum compounds shape the evolution of therapy-related myeloid neoplasms

description: This repository includes all code and data that is needed to reproduce the figures from Bertrums et al. 2024 on platinum treatment and therapy-related myeloid neoplasms, including the somatic mutations, structural variants, and copy number variations found in these samples. It includes both WGS of bulk t-MN, and single cell/clone WGS used for constructing phylogenetic trees.
A comprehensive description of the data files can be found in "input_data/README".
A comprehensive description of the scripts and how to run them can be found in: "scripts/README"
DOI: 10.17632/mchkcdnp3r
title: daraz_raw_tshirt_sales_data

description: The dataset contains raw t-shirt sales data from Daraz, including product names, prices, discounts, sales volume, reviews, seller locations, product links, IDs, and SKUs, providing insights into pricing, discounts, and location impacts on sales and customer engagement. It contains 3280 rows of data and 9 columns.
DOI: 10.6084/m9.figshare.14802732.v1
title: OCIM2-48L base state model output

description: This dataset contains output from the OCIM2-48L data assimilation model presented in the paper "Diffusion controls the ventilation of a Pacific Shadow Zone above abyssal overturning" by Holzer, DeVries, and de Lavergne, published in Nature Communications. See the readme file for more information and references.<br>
DOI: 10.6084/m9.figshare.3561363.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.12712814.v8
title: TPW and Zenith Sky Temperature Data for Socorro, NM

description: Data collected at New Mexico Tech to study the relationship between sky temperature and precipitable water in the Socorro, NM climate zone.
DOI: 10.6084/m9.figshare.22691368.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.5090749.v1
title: Immunohistochemistry picture.zip

description: Immunohistochemistry
DOI: 10.6084/m9.figshare.6871421.v1
title: Experiment and survey data from Drawing power of virtual crowds

description: Experiment and survey data csv file with headers
DOI: 10.17632/jkdxpvcb23
title: Analyzing Children's Fine Motor Skills and Emotions Through Handwriting Features: A Valuable Dataset

description: Handwriting can reveal crucial insights into an individual's motor skills and emotional state. This data article explores handwriting features to assess a child's Fine Motor Skills (FMS) and emotions while writing. The study encompasses two distinct handwriting tasks: sentence bolding and word copying. Three psychologists use These tasks to observe children's expressions and movements, enabling a comprehensive analysis of their emotional responses and FMS proficiency during the writing process. The data acquisition process unfolds in real-time, facilitated by a high-performance digitizer known as WACOM Cintiq 13HD, which operates at a sampling frequency of 220 Hz. The resulting handwriting dataset comprises seven variables and three target data collected from 98 elementary students aged 6 to 9. Due to the scarcity of datasets tailored to children's FMS and emotions within scientific research and education, this dataset emerges as a valuable resource across various fields, including psychology, machine learning, data mining, and more, promising to contribute significantly to empirical research and educational initiatives.
DOI: 10.17632/t4rysh9rxf
title: Eggplant_Hyperspectral_Dataset

description: Eggplant crop hyperspectral data was acquired using a terrestrial hyperspectral imaging spectroradiometer.