cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fwcjyc754h.1
title: DroNER: Dataset for Drone Named Entity Recognition

description: The dataset is constructed using several drone images acquired from VTO Labs Drone Forensic Dataset [1]. The dataset's main objective is to attempt performing NER on the human-readable messages contained in the drone flight log files. Six entity types, i.e., component, action, issue, parameter, state, and function, are identified as the region of interest in the domain problem, which is then used to label the entities mentioned in a log message. The entity type identification is performed in the context of drone forensics, as the original intention of constructing this dataset is to build an information extraction model to help the forensic investigator pinpoint an incident-related log record. The NER dataset is annotated using consistent and contextual tagging to compare the effect of contextual tagging on the NER model's performance. Contextual tagging considers surrounding words and uses the longest span as the context to determine which entity type of a particular word belongs to. Contrarily, consistent tagging uses the shortest span as the context of a word within a sentence. The train and test set are split based on the drone models resulting in a proportion of 76:24 since the number of messages extracted from each drone image is uncontrollable.
DOI: 10.17632/tw34c7hv7z.1
title: polycystic ovary syndrome

description: Aim : explore pathophysiology of polycystic ovary syndrome. We have conducted a case control study.  Polycystic ovary syndrome were diagnosis according to Rotterdam criteria. For all participants blood analysis were made on the third day of meases.
DOI: 10.17632/hwm673bv4m.2
title: SFU-HW-Objects-v1

description: The dataset SFU-HW-Objects-v1 contains bounding boxes and object class labels for High Efficiency Video Coding (HEVC) v1 Common Test Conditions (CTC) video sequences. The presented dataset contains only object labels; raw video sequences themselves can be obtained from the Joint Collaborative Team on Video Coding (JCT-VC).
DOI: 10.17632/8s4pv78c8g.1
title: Risk of Rebound Psoriasis Flare from Systemic Corticosteroid Use in Patients with Psoriasis: A Retrospective Cohort Study [Supplement]

description: Supplemental tables for the Research Letter, "Risk of Rebound Psoriasis Flare from Systemic Corticosteroid Use in Patients with Psoriasis: A Retrospective Cohort Study", published in Journal of the American Academy of Dermatology.
DOI: 10.17632/f4ynnmwkr2.1
title: Examining Mechanics Problem-Solving Strategies among Engineering Students in Rwanda dataset

description: This is the dataset of a research entitled: Examining Mechanics Problem-Solving Strategies among Engineering Students at a Selected Public University in Rwanda
DOI: 10.17632/rm5767gyxv.1
title: Data for: Optimal Cross-Licensing Arrangements: Collusion versus Entry Deterrence

description: See above
DOI: 10.17632/pthgd7rx92.1
title: Signs of Democracy (adjectival modifications of the English noun 'democracy')

description: A database of real existing adjectives that have been used to describe the noun democracy. Each individual description points to a distinctive archive that might be one publication or several hundred thousand publications large. It is in these archives where the meaning—or meanings—of a description can be found.
DOI: 10.17632/v9mgbmtnf2.1
title: Predicting Long-term Dynamics of Soil Salinity and Sodicity on a Global Scale

description: This dataset globally (excluding frigid/polar zones) quantifies the different facets of variability in surface soil (0 – 30 cm) salinity and sodicity for the period between 1980 and 2018. This is realised by developing 4-D predictive models of Electrical Conductivity of saturated soil Extract (ECe) and soil Exchangeable Sodium Percentage (ESP) as indicators of soil salinity and sodicity. These machine learning-based models make predictions for ECe and ESP at different times, locations, and depths and by extracting meaningful statistics form those predictions, different facets of variability in the surface soil salinity and sodicity are quantified. The dataset includes 10 maps documenting different aspects of soil salinity and sodicity variations, and auxiliary data required for generation of those maps. Users are referred to the corresponding "READ_ME" file for more information about this dataset.
DOI: 10.17632/5bwmbhs3fs.1
title: ZooMS Spectra 1 (Brown et al.)

description: Spectra for samples identified using ZooMS from Denisova Cave. Brown et al., Zooarchaeology through the lens of collagen fingerprinting at Denisova Cave
DOI: 10.17632/5xkbhr3bxd.1
title: Data for: Inequality and government debt: evidence from OECD panel data

description: Data for: "Inequality and government debt: evidence from OECD panel data" from Weijie Luo.
DOI: 10.17632/f46zt2g83x.1
title: PaveDistress: A comprehensive dataset of pavement distresses detection

description: The PaveDistress dataset is a high-quality collection of road surface images designed for non-destructive detection of pavement distresses like cracks, patches, and potholes. Captured using a specialized inspection vehicle, the images were taken along the S315 highway in China, covering diverse lighting conditions and real-world scenarios such as shadows, oil stains, and debris. Each image has a resolution of 3854 × 2065 pixels, representing an actual road coverage area of 3.9m × 2.1m. The dataset is organized into categories including cracks (transverse, longitudinal, and map cracks), patches, potholes, and background images without defects. This dataset supports the development of deep learning models for detecting, classifying, and segmenting road distresses, contributing to improved automation in pavement maintenance systems. Its diverse and representative content makes it valuable for research in civil engineering, enabling machine learning applications for road monitoring and condition assessment. Researchers can use this dataset to train models for accurate detection, which can be applied in real-world road maintenance operations.
DOI: 10.17632/wb6k5hbwtf.1
title: brain signal of COVID-19 related rumors authenticity evaluation

description: Here, we conducted an experiment to collect behavioral and EEG data during rumor detection. Forty-four healthy and right-handed students (23 males and 22 females, aged 18-25 years, age: 19.6 ± 1.25 years) from different faculties were recruited via university bulletins. These subjects are right-handed and have no background in neuroscience and psychology.The participants performed a credibility judgment task, in which they needed to read 80 rumors randomly presented and judge their credibility. We found that only 22% of participants could detect false rumors better than chance. The ERPs results show enhanced negative ERPs (N400) for truth decisions than false ones but larger positive ERPs (P2, P3, and LPP) for false decisions than truth. In addition, our work found sex differences during information processing related to brain activity, possibly due to different strategies employed. Males exhibited more positive P2 and enhanced N400 than females. In comparison, females displayed larger P3 and LPP amplitudes in detecting the rumors compared to males.
DOI: 10.17632/5xbth6245n.1
title: Adoption and Actual use of GeoGebra

description: This data represent how teachers background influence the adoption and actual use of GeoGebra
DOI: 10.17632/zb7cgmnvzj.1
title: Difficult To Treat Areas

description: Supplementary tables and figures for the manuscript entitled, Prevalence and Burden of Atopic Dermatitis Involving the Head, Neck, Face, and Hand: A Cross Sectional Study from the TARGET-DERM AD Cohort
DOI: 10.17632/dvp4y5ttd5.1
title: COVID-19 immune features revealed by a large-scale single cell transcriptome atlas. Ren et al.

description: Supplemental information of the study entitiled "COVID-19 immune features revealed by a large-scale single cell transcriptome atlas".
DOI: 10.17632/csbx34pzsy.1
title: Raw data: Meteorological indicator dataset for selected European NUTS 3 regions

description: Raw data to "Meteorological indicator dataset for selected European NUTS 3 regions", which consists of daily gridded data for 13 countries for the period from 1989 to 2018. The size of the grid is 25kmx25km. The data is a subset of the "Gridded Agro-Meteorological Data in Europe" dataset provided by the Joint Research Centre (JRC) of the European Commission (EC) and available under: https://agri4cast.jrc.ec.europa.eu/DataPortal/Index.aspx?o=
DOI: 10.17632/r5d8x5zgnw.1
title: The list of Russian Journals from Scopus Master List (August 2019)

description: The data about the Russian Journals from Scopus. The data was prepared for article: Прогноз развития российских научных журналов: индексация в международных указателях цитирования // Scholarly Research and Information [https://www.neiconjournal.com/jour]
DOI: 10.17632/gy79dgksgg.1
title: Data for: Solvent mixing generating air bubbles as a template for polydopamine nanobowl fabrication: underlying mechanism, nanomotor assembly and application in cancer treatment

description: Fabrication of hollow or bowl-like materials using gas bubbles as templates is an attractive technique. However, it is challenging to develop simple and mild methods that produce nanosized and homogeneous gas bubble templates. Herein, excess air could outgas in the form of bubbles by mixing water and water-soluble solvents in the proper proportion. And polydopamine (PDA) nanobowls are fabricated using these bubble templates.
DOI: 10.17632/d3bgrrfz7k.4
title: Evapotranspiration and crop coefficients of potato in a semi-arid climate (South Africa)

description: Correct estimation of crop coefficients is essential to accurately assess water requirements of crops and thereby optimize irrigation management. The objectives of this study were (i) to quantify evapotranspiration and water use efficiency of potato crops grown in different locations and seasons in a semi-arid climate under irrigation, (ii) to estimate Kc values for these crops at different growth stages, and (iii) to assess the usefulness of the Penman-Monteith equation to estimate evapotranspiration and irrigation requirements. An eddy covariance system (ECV) was used in potato fields in three production regions of South Africa: the western Free State (summer crop), North West (spring crop) and Limpopo (winter crop). An IRGASON integrated open-path CO2/H2O gas analyzer - the ECV system (Campbell Scientific) was used to measure the H2O vapour fluxes above the crop canopy. It was integrated with a sonic anemometer, which measures the three-dimensional wind speed. Additional supporting sensors (fine wire thermocouple, NR-Lite net radiometer, silicon pyranometer, krypton hygrometer, CS616 reflectometer, Hukseflux heat flux plates) and a tipping bucket rain gauge were added to the system. Data were sampled at a frequency of 10 Hz, processed using EasyFlux DL software (Campbell Scientific), and recorded using a CR3000 datalogger. Seasonal mean crop evapotranspiration (ETc) was 4.6, 4.4 and 2.8 mm/day, respectively, for the summer, spring and winter crops. The reference evapotranspiration (ETo) correlated well with the daily patterns in ETc (r = 0.89, 0.56 and 0.76 for winter, spring and summer potato crops, respectively) and can be used for irrigation scheduling of potato. Seasonal mean Kc values varied considerably between the winter (1.00) and the spring (0.69) / summer (0.79) crops. This range is within the range reported from other parts of the world. The winter crop had the highest WUE of 3.2 kg dry potato tuber m3 of water evapotranspired, whilst WUE for the spring and summer crops was 2.9 and 2.2 kg/m3. The corresponding dry matter tuber yields were 12.0 t/ha (winter crop), 14.1 t/ha (spring crop) and 9.1 t ha/1 (summer crop). Our results suggest that ETo, which can be relatively easily estimated based on data from a weather station, can be used for irrigation scheduling of potato, but Kc values used to estimate crop evapotranspiration and irrigation requirements may need to be adjusted depending on the cropping season. Water use efficiency of potato was higher for the crop growing in the cooler winter compared to the crops growing in spring / summer. To optimize water use efficiency of potato in water-scarce areas that rely mostly on irrigation water for potato production, it is advisable to grow potato crops in the cooler season, outside the frost-prone period if possible.
DOI: 10.17632/fyz96745hn.1
title: Automated Two-stage Contractors' Selection System

description: This automated system can assess and select the contractor more efficiently. The system is developed in MS-Excel format.
DOI: 10.17632/7p663wrgjs.1
title: ELENDIF: A time-dependent Boltzmann solver for partially ionized plasmas

description: Abstract ELENDIF calculates the time evolution of the electron energy distribution function in a mixture of partially ionized gases with or without an applied electric field. The code can treat inelastic and superelastic processes, electron-electron and electron-ion collisions, photon-electron (free-free) processes, attachment and recombination, ionization including a distribution of secondary electrons, and an external source of electrons (e.g. an electron beam). The code also computes the mean elect... Title of program: ELENDIF77 Catalogue Id: ABLX_v1_0 Nature of problem ELENDIF calculates the time evolution of the electron energy distribution function in a mixture of partially ionized gases with or without an applied electric field. The code can treat inelastic and superelastic processes, electron-electron and electron-ion collisions, photon-electron (free-free) processes, attachment and recombination, ionization including a distribution of secondary electrons, and an external source of electrons (e.g. an electron beam). The code also computes the mean electron ... Versions of this program held in the CPC repository in Mendeley Data ABLX_v1_0; ELENDIF77; 10.1016/0010-4655(90)90141-M This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/rdyy9wwmpg.1
title: The variation of tensile strength, void ratio, and suction under F-T cycles

description: It mainly contains the following data: (1) Variations of water content with the number of freeze-thaw cycles; (2) Soil void ratio versus water content; (3) Soil suction versus water content; (4) Tensile load versus tensile displacement; (4) Tensile strength versus water content for specimens with different compaction states under freeze-thaw cycles.
DOI: 10.17632/tgmppk9kkt.1
title: esg_dataset

description: The dataset is a sample of 72 publicly traded US industrial companies with an ESG rating for the years 2012–2021. Data was downloaded from Bloomberg and Refinitiv Eikon databases. The dataset includes financial and non-financial indicators of companies.
DOI: 10.17632/tfn8ycrds3.1
title: Current knowledge on dietary studies of amphibians in Colombia: research gaps and trends

description: Trophic interactions are essential components of population and community structuring. Amphibians are primarily a generalist predator group and are essential in the energy transformation chain in different ecosystems globally. Many amphibian species lack any basic information about diet or prey consumption, which is essential for understanding ecological requirements, changes in the natural history of species and populations, the impact of habitat modification, and to develop conservation strategies. We present current knowledge on amphibian diets in Colombia—the second most diverse and endemic rich, and the most threatened nation for amphibians—to determine: (a) the number of species studied and their spread across families and genera; (b) the temporal and regional patterns in scientific productivity on trophic ecology, and (c) the trends of topics studied associated with trophic ecology in Colombian amphibians. We found 70 published studies on amphibian trophic ecology between years 1914 and 2022, spanning 100 amphibian species. The Andean region is the best represented, and the Amazon and Orinoco the least. The topics most frequently studied are the prey items consumed and ontogeny, followed by a predominance of systematic and taxonomy, and land-use change impacts. Forty-one prey items were consumed, with invertebrates being the best represented group. While the development of information on dietary ecology has recently increased, knowledge remains limited, with a significant information gap for many Colombian species in different regions. This synthesis is a starting point to identify research gaps for amphibian diet in Colombia, and ultimately for implementing conservation strategies in Colombian amphibians.
DOI: 10.17632/6bjy52jkm9.1
title: Elsevier 2022 Sustainable Development Goals (SDG) Mapping

description: The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind.

Since 2018, Elsevier has generated SDG search queries to help researchers and institutions track and demonstrate progress toward the SDG targets. In the past 3 years, these queries, along with the university’s own data and evidence supporting progress and contributions to the particular SDG outside of research-based metrics, are used for the THE Impact Rankings.

For 2022, all SDGs used the exact same search query and ML algorithm as the Elsevier 2021 SDG mapping, except SDG 3. Working in conjunction with our university partners, we agreed that Covid related search terms should be added to SDG 3 - Good health and well-being. We made no changes to the ML algorithm.

The newly added Covid query adds a little more than 190,000 publications to SDG 3, out of about 300,000 publications containing Covid related terms. We focused on public health, clinical medicine, and biomedical research, avoiding publications related to the impact of the pandemic on research spheres outside health research (e.g., economic, political, etc.).
DOI: 10.17632/ch87yswbz4.1
title: Alzheimer's disease dataset

description: The below attached files are those pertinent to image classification of brain MRI scans for Alzheimer's disease prediction. The dataset which contains of four directories and are classified in accordance with that. The classification is performed using Convolutional neural networks and a commendable accuracy rate is acheieved. The architecture and the working framework is charted out in the companion framework.
DOI: 10.17632/svz439j8hb.1
title: Training dataset for acoustic emission analysis

description: Training dataset containing acoustic emission features of various damage mechanisms of composite materials. Collected acoustic emission features: maximum amplitude in dB (A), rise time in µs (R), total duration in µs (D), number of threshold counts (CNTS), total energy in eu (E) and average frequency in MHz (F).
DOI: 10.17632/h5nyfd3y92.2
title: Data on terpene content in pre-rolled paper cones infused with terpene-containing flavours based on the formation of a partially soluble precipitate

description: The dataset comprises raw data from the absorbance measurement of flavor-containing terpene (FCT) infused in pre-rolled cone paper and glue. Measurement was performed using UV-Vis spectrophotometric method at a wavelength of 538 nm. FCT was directly used as the standard for expressing the terpene content equivalence. The measurement of FCT infused in pre-rolled cone paper and glue was initiated by extracting the terpene content using chloroform, formation of partially soluble reddish-brown precipitate using sulphuric acid, and the absorbance measurement of the precipitate. The decrement of the FCT content from infused pre-rolled cone paper and glue was performed after the incubation of the sample for 1 day and 7 day. The effect of several parameters on the decrement of FCT content was evaluated, that is the effect of tube sealing and additive (ethanol and polypropylene glycol) addition.
DOI: 10.17632/bjv6c9pmp4.1
title: Body Measurements Datasets

description: ~Dataset Information~ This dataset could be the first of its kind and probably the only of its kind on public database. We intended to conduct research using human body measurement but we could not find any open access data. So we decided to build our data. Attribute information: Gender (Male and Female (M=1 & F= 2) (391 Males & 324 Females) Age (1 year and above) HeadCircumference (in inches) ShoulderWidth (in inches) ChestWidth (in inches) Belly (in inches) Waist (in inches) Hips (in inches) ArmLength (in inches) ShoulderToWaist (in inches) WaistToKnee (in inches) LegLength (in inches) TotalHeight - from head to toe (in inches) Class Label (Not defined) Dataset Characteristics: Multivariate, Numerical Attribute Characteristics: Real Associated Tasks: Classification, Regression Number of Instances: 13 Number of Attributes: 716 Missing Values: No Domain: cross domain
DOI: 10.15468/dl.extpxq
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico, Guatemala, Belize, El Salvador, Honduras, Nicaragua, Costa Rica, Panama)",
 "TaxonKey is Leucotrichum mitchelliae (Baker) Labiak"
 ]
}

 The dataset includes 96 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009165-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bbrrsxpn5t.1
title: Effects of kinship and host quality on group reproduction in Sclerodermus cereicollis using a choice test

description: This dataset describes the behaviour and reproductive outcomes of Sclerodermus cereicollis foundresses, focusing on how host size variation and female relatedness affect these dynamics. Foundresses, grouped according to kinship, were given two hosts of different sizes. Key observations included host selection, oviposition timing, movement between hosts and foundress mortality. 
Data are provided for foundress mortality, timing of victim attack and subsequent offspring development from oviposition to emergence, offspring emergence, and foundress movements and positions.
DOI: 10.17632/wb6yvr725d.4
title: A semi-simulated EEG/EOG dataset for the comparison of EOG artifact rejection techniques

description: This work presents a semi-simulated EEG dataset, where artifact-free EEG signals are manually contaminated with ocular artifacts following the model proposed by [1]. The significant part of this dataset is that it contains the pre-contamination EEG signals, so the brain signals underlying the EOG artifacts are known and thus the performance of every artifact rejection technique can be objectively assessed. The main differences of the proposed dataset compared to others (p.e. see [2,3]) is that it is focused only on EOG artifacts, using a realistic model for the contamination of artifact-free EEGs and not a random procedure. [1] T. Elbert, W. Lutzenberger, B. Rockstroh, N. Birbaumer, Removal of ocular artifacts from the EEG--a biophysical approach to the EOG., Electroencephalogr. Clin. Neurophysiol. 60 (1985) 455–63. http://www.ncbi.nlm.nih.gov/pubmed/2580697 (accessed April 10, 2013). [2] X. Yong, M. Fatourechi, R.K. Ward, G.E. Birch, Automatic artefact removal in a self-paced hybrid brain- computer interface system, J. Neuroeng. Rehabil. 9 (2012) 50. doi:10.1186/1743-0003-9-50. [3] A.K. Abdullah, C.Z. Zhang, A.A.A. Abdullah, S. Lian, Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm, Math. Probl. Eng. 2014 (2014) 1–25. doi:10.1155/2014/324750.
DOI: 10.17632/9zxbx9m8dj.1
title: LINF_310032700

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)