cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jh5bn42pm9.1
title: Data for: Chemical characterization of PM10 samples collected simultaneously at a rural and an urban site in the Caribbean coast: local and long-range source apportionment

description: Raw data for the article: Chemical characterization of PM10 samples collected simultaneously at a rural and an urban site in the Caribbean coast: local and long-range source apportionment.
This data was used to identify the main sources of PM10 in rural and urban environments in Cienfuegos, Cuba. Using this dataset, a source apportionment study employing PMF 5.0 coupled with the conditional bivariate probability function (CBPF) and concentration weighted trajectory (CWT) was performed as an integrated approach in order to evaluate the local and long-range (Sahara dust) contributions to PM10 for the first time in the studied region.
DOI: 10.17632/yrh5fs68r2.1
title: A behavioral tagging account of kinase contribution to memory formation after spaced aversive training

description: Long-term memory (LTM) can be induced by repeated spaced training trials. Using the weak inhibitory avoidance (wIA) task, we showed that one wIA session does not lead to a 24-h LTM, whereas two identical wIA sessions spaced by 15 min to 6 h induce a 24-h LTM. This LTM promotion depends both on hippocampal protein synthesis and the activity of several kinases. In agreement with the behavioral tagging (BT) hypothesis, our results suggest that the two training sessions induce transient learning tags and lead, via a cooperative effect, to the synthesis of plasticity-related proteins (PRPs) that become available and captured by the tag from the second session. Although ERKs1/2 are needed for PRPs synthesis and CaMKs are required for tag setting, PKA participates in both processes. We conclude that the BT mechanism accounts for the molecular constraints underlying the classic effect of spaced learning on LTM formation.
DOI: 10.17632/3g63ns889n.1
title: LINF_350009700

description: HAP2/GCS1; Leishmania infantum (strain JPCM5)
DOI: 10.17632/f5h2d3wmn7.2
title: Groundwater and surface water data of Ganga Delta

description: The present study attempts to characterize the strontium signatures and exchanges between surface water and multi-depth groundwater in and around the tropical, Himalayan Ganga River mega-delta. This work is an amalgamation of previously published datasets and newly collected data from surface and groundwater reservoirs which are predicted as potential strontium sources. Rainwater, seawater, river water, estuarine water and groundwater are considered as the different reservoirs within the delta where continuous cycling between the surface and subsurface waters is clearly observable. Strontium concentration data along with other solute geochemistry such as calcium, magnesium and salinity are reviewed from various previous literatures. Additionally, groundwater is sampled and analysed in two distinctly different parts of the delta. The first cluster of groundwater stations is distributed methodically in Nadia District, located inland in the northern part of the delta. The second set of groundwater stations is placed in 5 locations on the Bakkhali Island of Sundarbans, situated at the southern end. In total 13 observation wells, categorized into four depth ranges ̶   D1 (14 to 25 m bgl), D2 (30 to 50 m bgl), D3 (115 m bgl), and D4 (333 m bgl) and 2 monitoring wells were installed. D1 and D2 wells are installed in each of the five locations. D3 has two wells at locations B and D while D4 has only one well for observation at location A. This aids in a spatial understanding of the study area. For a similar reason, the assimilated groundwater data is geographically classified into Eastern and Western Bengal Basin whereas hydrostratigraphically, following our previous continuing study by Chakraborty et al., 2022 it is categorized under Type-I, Type-II and Type-III aquifers. Depth-wise variation is furthermore scrutinized to identify varying surface, shallow surface and deeper subsurface processes prevailing in both inland and coastal aquifers. Again, data variability from coastal reservoirs to further inland areas is used to demarcate a spatial change in the dominant hydrogeochemical process controlling water geochemistry and strontium evolution in the delta.
DOI: 10.17632/3m9w4mzgk2.1
title: LINF_350007300

description: NADH-ubiquinone oxidoreductase complex I subunit | NDUFA5 ortholog; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nxp594x6fr.1
title: Psychological Distress, Antipsychotic Medications, and Cardiovascular Risk Factors Among Patients with Schizophrenia

description: The Aims: This study aims to assess the correlation between antipsychotic drug use, psychological distress, and cardiovascular risk factors among patients with schizophrenia. 
Methods: After obtaining the ethical permissions, 143 schizophrenic patients were conveniently selected for this study. Data was collected by measuring selected cardiovascular risk indicators and a self-administered questionnaire. The questionnaire comprised of sociodemographic data, clinical history, and the self-assessment of psychological distress measures. The Statistical Package for the Social Sciences (SPSS) version 25.0 was used for the data analysis. STROBE guidelines were followed to report the findings of this study. Results: The use of antipsychotics was associated with increased cardiovascular risk factors including blood pressure (BP), body mass index (BMI), and waist-to-height ratio. Atypical antipsychotic medications were associated with weight gain and obesity which increase the risk of diabetes and cardiovascular diseases. Additionally, high blood pressure was associated with the duration of antipsychotic use. 
The data includes 57 variables including the total/mean variables, the description of each variable is available in the data file under "Lable"
DOI: 10.17632/hd3thwcyjd.1
title: Dataset for Indoor Air Temperature Measurements using Ultrasonic Travel-Time Tomography

description: This dataset presents the indoor air temperature measurement results using the novel technique of Acoustic travel time TOMography (ATOM) in the ultrasonic frequency range. The
data was collected across a decreasing and increasing indoor air temperature scenarios within the climate chamber laboratory of the Building Physics department at Bauhaus-University Weimar. The temperatures derived from the ATOM system were compared against those recorded by highly accurate NTC thermistors as a benchmark. The measurements encompassed both steady state and transient conditions. Moreover, the developed ultrasonic setup contains a preamplifier to enhance the power of the recorded signal. This preamplifier introduces a phase shift which should be measured and compensated accordingly. Accordingly, the results of the phase shift measurements for the utilized preamplifier are provided. It cover two approaches of performing the measurements in a numeric computing platform i.e. MATLAB and validating measurements by conducting phase shift measurements using an oscilloscope.
DOI: 10.17632/p42xjtv8pv.1
title: UCM_FibIoT2024

description: The UCM_FibIoT2024 dataset is a detailed collection of data aimed at improving the understanding of Distributed Denial of Service (DDoS) attacks against smart home central control units, specifically the Fibaro Home Center 3. This dataset documents various types of DDoS attacks, including TCP SYN flood, ICMP flood, and HTTP flood, to provide insight into their impact on the functionality and availability of IoT devices.

Data collection was performed on a local network using the hping3 tool for SYN and ICMP flood attacks, and the LOIC tool for HTTP flood attacks. Network traffic was captured using Wireshark software, and the dataset is available in both PCAP and CSV formats for detailed analysis. The captured data includes key attributes such as timestamps, source and destination IP addresses, protocols, packet lengths, and port numbers.

The primary goal of this dataset is to facilitate the simulation and analysis of DDoS attacks on smart home central control units, providing a resource for researchers focused on cybersecurity and IoT device protection. By examining the network traffic logs and packet captures, researchers can identify attack patterns, understand the dynamics of different types of DDoS attacks, and develop effective mitigation mechanisms.

The dataset is organized to include detailed logs of each attack, such as start and end times, frame numbers, and total number of attack packets. For ease of use, the data is organized into folders, and the SYN flood attack data is further subdivided by the ports targeted (80, 443, and 500).

The UCM_FibIoT2024 dataset serves as a valuable tool for analyzing and developing defenses against DDoS attacks on IoT devices. It provides a practical resource for researchers and cybersecurity professionals to effectively simulate, analyze, and mitigate DDoS attacks.
DOI: 10.15468/dl.y655we
title: Occurrence Download

description: A dataset containing 27458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ploceus subaureus A.Smith, 1839)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 27458 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000270-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60503/d3/djzeun
title: Iraqi Arabic - English Lexical Database

description: Iraqi Arabic - English Lexical Database was developed by the Linguistic Data Consortium (LDC). It contains six interrelated tables presenting over 67,000 Iraqi Arabic words as orthographic forms in Arabic script and pronunciation forms in International Phonectic Alphabetic (IPA) format, along with more than 120,000 English tokens. This release is the result of a collaboration with Georgetown University Press to enhance and update three dialectal Arabic dictionaries -- Iraqi, Moroccan and Syrian -- originally published in the 1960s. The Georgetown Dictionary of Iraqi Arabic was published in 2013. That work was based on, and expanded, two dictionaries, A Dictionary of Iraqi Arabic: English-Arabic (Clarity, Stowasser and Wolfe, eds., 2003) and A Dictionary of Iraqi Arabic: Arabic-English (Woodhead and Beene, eds., 2003). The several enhancements developed by LDC in the updated and enhanced dictionary and the lexical database included facilitating comparisons across Arabic dialects and Modern Standard Arabic by providing Arabic script spellings and IPA pronunciations to Iraqi words and phrases; promoting ease of use by language learners and researchers by developing reasonable orthographic conventions for applying the Arabic alphabet to the dialect; and facilitating a user's understanding of morphological and lexical relations by adding information on the linguistic structures of Iraqi Arabic.
DOI: 10.5066/p13frlc5
title: Scanned logs of down-hole lithologic and radiologic information from Arizona, Colorado, South Dakota, Utah, and Wyoming

description: This data release contains digitized well logs from a historic uranium exploration program conducted by the U.S. Atomic Energy Commission (AEC) between 1948 and 1956. The well logs document down-hole lithologic and radiologic information from drilling activities primarily in the Colorado Plateau (Colorado, Utah, Arizona, New Mexico), Wyoming, and South Dakota. These logs, originally archived in paper and Mylar formats, were digitized by the U.S. Geological Survey (USGS) and are provided in .pdf format, and associated header information describing file is also compiled.

These scans of well logs, provide a significant, though incomplete, record of the drilling activities conducted during this period. The logs were transferred through various governmental bodies before being housed at the USGS in Denver. While well headers often do not contain sufficient information for georeferencing, related AEC and USGS reports often include maps with drill hole locations. This data release offers a valuable historical resource for research and public access, with the scanned logs available for download by state.
DOI: 10.17632/p2swf4v5hp.1
title: Light wavelength modulates search behavior performance in zebrafish

description: Waalkes et al
Visual systems have evolved to discriminate between different wavelengths of light. The ability to perceive color, or specific light wavelengths, is important as color conveys crucial information about both biotic and abiotic features in the environment. Indeed, different wavelengths of light can drive distinct patterns of activity in the vertebrate brain, yet what remains incompletely understood is whether distinct wavelengths can invoke etiologically relevant behavioral changes. To address how specific wavelengths in the visible spectrum modulate behavioral performance, we use larval zebrafish and a stereotypic light-search behavior. Prior work has shown that the cessation of light triggers a transitional light-search behavior, which we use to interrogate wavelength-dependent behavioral modulation. Using 8 narrow spectrum light sources in the visible range, we demonstrate that all wavelengths induce motor parameters consistent with search behavior, yet the magnitude of search behavior is spectrum sensitive and the underlying motor parameters are modulated in distinct patterns across short, medium, and long wavelengths. However, our data also establishes that not all motor features of search are impacted by wavelength. To define how wavelength modulates search performance, we performed additional assays with alternative wavelengths, dual wavelengths, and variable intensity. Last, we also tested blind larvae to resolve which components of wavelength dependent behavioral changes potentially include signaling from non-retinal photoreception. These findings have important implications as organisms can be exposed to varying wavelengths in laboratory and natural settings and therefore impose unique behavioral outputs.
DOI: 10.17632/j4zhwgg4fk.2
title: Sleep quality assessment in Fitness Functional Athletes: A Cross-sectional Study

description: Introduction: Functional fitness is an intense sport that requires adequate recovery, with sleep playing a critical role in recovery. Factors such as training load and caffeine consumption may affect sleep quality, but few studies have examined these aspects simultaneously. Objective: To describe the quality and quantity of sleep in Fitness Functional athletes, considering training load and caffeine consumption. Method: Cross-sectional and descriptive study of male functional fitness athletes (18 to 35 years old). Sociodemographic data, sleep quality (Pittsburgh Sleep Quality Index - PSQI), training load and food consumption patterns were collected during the transmutation phase using an online form. Results: Of the 20 included athletes, 85% reported good or very good subjective sleep quality, but 90% had poor sleep quality according to the total PSQI score. In addition, 30% of participants reported sleeping less than 7 hours per night and low consumption of caffeinated beverages and energy supplements. Conclusion: Although athletes reported good subjective sleep quality, the objective assessment (PSQI) showed poor quality that was not related to caffeine or supplement consumption. The high energy demands of sport may negatively affect sleep, with resting times below international recommendations.
DOI: 10.17632/w2nh5j3hcz.2
title: WINRACK Project baseline Quantitative dataset on catalyzing women’s involvement in post-COVID-19 recovery through agricultural cooperatives in Kenya.

description: This is the baseline data of the WINRACK project on catalyzing women’s involvement in post-COVID-19 recovery through agricultural cooperatives in Kenya. https://idrc-crdi.ca/en/project/catalyzing-womens-involvement-post-covid-19-recovery-through-agricultural-cooperatives.
DOI: 10.15468/dl.euqcmc
title: Occurrence Download

description: A dataset containing 4386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus carpio Linnaeus, 1758",
 "Country is Spain",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 4386 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000271-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5jk89vpbh2.1
title: CUSP9v3-U3118-part2

description: Label-free live-cell imaging and endpoint cell viability data obtained from exposing the patient derived glioblastoma cell line U3118 (see related article below), on all combinations of the CUSP9v3 protocol from order 5 to 9. The standard-of-care drug, temozolomide, was used as add-on to all combinations. 

There are 4 .zip files containing all the imaging data, one for each 384-well plate used. Every .zip file contains 5544 grayscale images of size 800x992 pixels and every experimental well consists of a temporal sequence of 18 such images. The experiment was performed in quadruplicate and the associated plate layouts used for acoustic liquid dispension are also included as .xlsx files. The .log file contains the cell viability data for all plates.
DOI: 10.17632/8h8c9dkyrf.1
title: Data on Experimental Investigation of PVA Fiber-Reinforced MICP Treatment for Improving Dispersive Soil Properties

description: This dataset contains comprehensive experimental data on the enhancement of dispersive soil properties using the PVA fiber-reinforced microbial-induced calcium carbonate precipitation (MICP) technique. The dataset includes raw and processed data from laboratory tests evaluating soil dispersivity, unconfined compressive strength (UCS), split tensile strength (STS), disintegration resistance, calcium carbonate (CaCO3) content, and stress-strain behavior. Additionally, it features chemical environment monitoring data, microstructural analysis using SEM and EDS, and mineralogical analysis through X-ray diffraction (XRD). This dataset provides a detailed foundation for understanding the mechanisms underlying the improvement of soil dispersivity, as well as its engineering applications in erosion control and ecological restoration.
DOI: 10.17632/5wh9bdmnm5.1
title: Isolated Data Acquisition with Trigger Pulse Generation for Ion Mobility Spectrometry

description: This work presents an isolated data acquisition based on two simultaneous sampled 16-bit ADCs of type LTC1864 (Analog Devices) and the synchronized generation of trigger pulse patterns required for the operation of ion mobility spectrometers.
DOI: 10.17632/4fgcswrw3v.1
title: Data for: First mitochondrial genomes of true ferns allow modeling the mitogenomic inflation syndrome across all land plant lineages

description: This data repository includes scripts and supporting data sets, like mapping files from RNAseq analysis.
DOI: 10.17632/xtww8jmgwr.1
title: A model for one-dimensional consolidation of clayey soils with non-linear viscosity

description: In this repository files are stored referring to an algorithm developed to calculate the one-dimensional consolidation of clayey soils, based on a model where creep is attributed to the non-linear viscous behavior of this type of soil.
DOI: 10.17632/b35mwzmxcg.1
title: LINF_350011300

description: UTP20; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.j4dsvu
title: Occurrence Download

description: A dataset containing 181320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Cyanistes caeruleus (Linnaeus, 1758)"
 ]
}

 The dataset includes 181320 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000268-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zhj366m53p.1
title: Synthetic Mobile Money Transaction Dataset

description: This dataset comprises synthetic mobile money transaction records, meticulously generated to closely resemble real transaction data for training machine learning models in financial fraud detection. It was produced using the MoMTSim platform, a multi-agent-based simulation specifically tailored to emulate the mobile money financial ecosystem. The simulation inputs are based on real financial data to ensure realism in transaction dynamics. The dataset's fidelity to real-world data has been validated through several statistical methods including the sum of squared errors approach, the Kolmogorov-Smirnov test, and Bland-Altman plots, confirming its accuracy and utility for research and practical applications in detecting fraudulent transactions.
DOI: 10.17632/ffkm3swt28.1
title: LDHU3_10.1530

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/67shfscvvy.1
title: LDHU3_10.1490

description: Poly(A) polymerase; Leishmania donovani (HU3 strain)
DOI: 10.17632/c3zh4k89nx.1
title: A new approach for estimating trade elasticities and measuring the productivity effects associated with trade (dataset and codes)

description: This dataset accompanies the paper "A New Approach for Estimating Trade Elasticities and Measuring the Productivity Effects Associated with Trade". It contains the data and Stata code used to replicate the analysis presented in the paper. These files include:
.dta files: Stata datasets used in the analysis.
.do files: Stata scripts containing the code to perform the estimations and obtain the tables and figures.
Readme file: Instructions and guidance for reproducing the results.

This paper provides a new method for estimating trade elasticities based on a production model where trade elasticities and technological parameters are estimated simultaneously. Using data from the World Input-Output Database, we obtain trade elasticities that align with those reported in the literature. Following the theoretical framework by Caliendo et al. (2018), we derive the benefits of international trade on total factor productivity (TFP). Our proposed production model is later used to understand the main determinants of the countries’ and sectors’ participation in international trade, as well as measuring the different factors affecting productivity changes due to the Covid-19 pandemic.
DOI: 10.17632/t4gw54s8k3.2
title: Multi-omics analysis reveals the associations between altered gut microbiota, metabolites, and immune functions during pregnancy

description: The metabolomics data and STORMS checklist
DOI: 10.17632/p2tscdczns.1
title: The socio-environmental protection of the territory on the border zone between Bolivia and Chile. Cases of Oruro, Potosí, Tarapacá, Arica and Parinacota

description: This database is the support of an article, taht seeks to understand the tensions produced by the formal protection measures applied in territories with biological and ethnic characteristics in the border area between Chile and Bolivia (departments of Oruro and Potosí, regions of Tarapacá and Arica-Parinacota.). This dataset systematizes the results of a documentary review, interviews with officials, a cartographic and historical analysis focusing on the changes that protected areas and indigenous territories underwent during between the 20th and 21st century.