cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3ysvv6fytd.2
title: INHIBITORY CONTROL, RESPONSE TIME, PLASMA BDNF CONCENTRATIONS AFTER A AEROBIC AND RESISTANCE EXERCISE BOUT IN MIDDLE-AGED AND OLDER ADULTS WITH TYPE 2 DIABETES 

description: This pilot study took part in a controlled clinical trial registry in the Brazilian Registry of Clinical Trial (register no. RBR86hfz5, WHO international clinical trials registry platform no. U1111-1202-6942).

Sample characteristics
Eleven physically active middle-aged and older adults (9 post-menopausal women/ 2 men) with a physician diagnosis of T2DM following American Diabetes Association criteria were recruited between September and October/17. 

Experimental design
In the within-subject counterbalanced trial, four visits were programmed to answer the research questions (Figure 1). The first visit was designed to baseline blood samples and cognitive screening. The second visit was intended for anthropometric measures, familiarisation with cognitive tasks, and physical testing to determine the intensity of exercise sessions. Then, at the subsequent two visits, the AER (aerobic exercise) and RES (resistance exercise) situations were performed in a counterbalanced design. Before and immediately after each exercise session, we evaluated cognitive tasks and collected blood samples. 
 
Physical testing and exercise protocol 
The exercise protocols were planned according to the recommendations of the American Diabetes Association for aerobic and resistance exercise in T2DM subjects (Kanaley et al. 2022). Exercise protocols were not energy expenditure matched and were designed to support a greater ecological validity. These 40-minute exercise sessions were interspaced by 72 h and occurred between 2:00 and 4:00 PM. 

The AER exercise intensity was determined by the six-minute walk test (6MWT). In 6MWT, participants should walk at maximal speed for six minutes in a 30-meter indoor room (Rikli and Jones 2013). In AER, participants should walk at 90-95% of the speed obtained in 6MWT. The RES exercise intensity was determined by 10-Repetition Maximum Test (10RM) following the 10-RM protocol guidelines (Baechle, Thomas R.; Earle, Roger 2008). In RES, participants performed eight strength exercises for upper and lower limbs (leg press, bench press, calf raises, front pulldown, knee extension machine, dumbbell shoulder press, wide-grip inclined cable row, and abdominal crunches). The subjects performed three sets of ten repetitions in each exercise, at 70% of 10-RM and 60 seconds of rest between sets. 

Plasma BDNF concentrations
Pre- and post-exercise blood samples were collected in EDTA tubes during the fed state and at the same hour (2-3 PM or 3-4 PM) to measure plasma BDNF concentrations. After collection and plasma separation (10 min, 3500rpm, and 4°C), samples were stored at -80° C until further BDNF determination using sandwich enzyme-linked immunosorbent assay (ELISA) with a commercial kit (DY248 DuoSet, R&D Systems™, MN, USA). Samples were diluted at 1:64 to fit the standard curve range (detection range: 23-1500 pg/ml).
DOI: 10.17632/w2kr9m6s5h.2
title: Active-Distributed Temperature Sensing data collected beneath a braided river for quantification of groundwater recharge

description: This dataset contains Active-Distributed Temperature Sensing (A-DTS) data collected from a 100 m long horizontal subsurface cable installed to approximately 5 m depth beneath the Waikirikiri-Selwyn River in New Zealand. The experiment was conducted over a 24-hour period and comprised twelve surveys each measuring the ambient temperature for 300 s, followed by 3600 s heating the cable with 15 W m-1 power applied and 3300 s measuring the temperature decrease. This dataset can be used to estimate groundwater recharge rates at a high spatiotemporal resolution.
DOI: 10.17632/djcjkw554d.1
title: Microplastics in Sitio Pulo, Navotas, Philippines 2019

description: A dataset of 449 microplastic fragments from Sitio Pulo, Navotas City, Philippines. The microplastics were isolated from the surface water of the barrier island on July 4 and 25, 2019. Four sites of the island were selected for the collection: Site A - 14°40’39.6’’N, 120°55’43.4’’E; Site B - 14°40’44.9’’N, 120°55’38.9’’E; Site C: 14°41’32.5’’N, 120°55’39.4’’E; and Site D: 14°40'40.1''N, 120°55'43.4''E. Sites A and B are located coastal side (facing Manila Bay) of the island while sites C and D are located on the lagoon side (facing Metro Manila mainland) of the island.

The microplastics isolated were characterized by image analysis estimating is length (in micrometers), roundness score, CIE color coordinates L*, a* and b*.
DOI: 10.17632/h7krh54zxc.1
title: A Social Foraging Trade-off in echolocating bats reveals that they benefit from some conspecifics but are impaired when many are around - dataset

description: Data for 10 Molossus nigricans bats: attacks, successful attacks, and conspecific calls per 5-sec windows.
DOI: 10.17632/9kgd88vrbr.1
title: Eco-hotel

description: This dataset includes Online Textual Reviews from both online (e.g., TripAdvisor) and offline (e.g., Guests' book) sources from the Areias do Seixo Eco-Resort (http://www.areiasdoseixo.com/hotel-overview.html). All the 401 reviews were collected between January and August of 2015. The CSV holds one cell per review, except the first row, which is the header. Acknowledgement: This dataset was provided thanks to Gonçalo Alves, the Areias do Seixo Manager.
DOI: 10.17632/xjjn88rpk2.1
title: STC Scientometric Research Corpus

description: Bibliographic Data used for Scientometric Analysis
DOI: 10.17632/6mr577jb6b.2
title: Data From: Fecal indicator bacteria and sewage-associated marker genes are associated with nitrate and environmental properties parameters in Florida freshwater systems

description: This dataset contains measurements of fecal indicator bacteria (Escherichia coli and enterococci), microbial source tracking markers (HF183 and GFD), nutrients, and environmental parameters from two freshwater Florida streams. Water and sediment was collected over a 26-month period. Fecal indicator bacteria were cultured from water and sediment, microbial source tracking markers were assessed in water by qPCR, and nutrients were measured in water and sediment.
DOI: 10.17632/yfg4766xv5.1
title: Discourse Ontology for Incorporation/Transference Events

description: The Discourse Ontology for Incorporation/Transference Events is an OWL ontology, a semantic interpretation ontology (SIO), that contains the concepts and relations used in natural language sentences describing these events. The ontology also contains a set of semantic web language rules (SWLR) to model dates.
This dataset is part of the results obtained from the semantic migration process of DigitArq - Portuguese Archive Database - metadata into CIDOC-CRM Ontology representation. This work is done in the context of the EPISA project (Entity and Property Inference for Semantic Archives), a research project financed by National Funds through the Portuguese funding agency, FCT (Fundação para a Ciência e a Tecnologia) - DSAIPA/DS/0023/2018.
DOI: 10.15468/dl.46se5w
title: Occurrence Download

description: A dataset containing 7723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serotina Ehrh.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 7723 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009347-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c495bkk9vf.1
title: Software of prediction models for 12 poly(A) signal variants in human and feature vectors of regions covering [-300,poly(A) hexamer,+300] for these 12 signal variants.

description: We used human genome hg38 from GENCODE folder at EBI ftp server (ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_28/GRCh38.primary_assembly.genome.fa.gz) 1) Positive set (PAS sequences) Using GENCODE annotation for poly(A) (ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_28/gencode.v28.polyAs.gff3.gz) We selected poly(A) signal annotation. Using bedtools-slop option, we found regions extended 300 bp upstream and 300 bp downstream of the poly(A) hexamer. With the bedtools-getfasta option, we extracted 606 bp fasta sequences from these regions. After eliminating duplicates, we obtained 37’516 presumed true functional poly(A) signal (PAS) sequences. Sequences from this set will be denoted as positive. 2) Negative set (pseudo-PAS sequences) For the negative set, we looked for regions extended outside the region covering 1’000 bp upstream and downstream of the positive poly(A) hexamer signal using bedtools-complement. Homer tool was used to find matches for the 12 most frequent human poly(A) variants. Since the number of matches was huge, sampling was used to select 37’516 pseudo-PAS sequences. Sampling was done from each chromosome proportionally to the chromosomes lengths and also to the expected frequency of the poly(A) variants. Out of these predictions, for each PAS hexamer, we selected the same number of pseudo-PAS sequences as in the positive set. 3) Training and testing sets We selected randomly from each of the positive and negative datasets 20% of sequences for the independent test data. The testing set thus consisted of 15’020 sequences. The remaining data represented the training set that consisted of 60’012 sequences. Both datasets are balanced relative to the true PAS and pseudo-PAS sequences. 4) Processed sequences These sequences are processed by the Matlab code we provide, and sequences are converted to feature vectors of length 205. To the end of each of these features vectors, the class label ('1' for true PAS and '0' for pseudo-PAS) is added. These processed sequences are provided here. 5) Prediction models In addition, we provide software encoding final models for prediction of each of the 12 PAS variants. For each PAS variant, there is a Linear Regression model and a Deep Neural Network (DNN) model.
DOI: 10.17632/vfszbj9b36.1
title: Phishing URL dataset

description: Phishing URL dataset exclusively contains 54,807 URLs identified as phishing, providing a focused resource for studying and combating malicious online activities. Meanwhile, the URL dataset comprises 450,176 URLs sourced from various platforms, including PhisTank, the Majestic Million, and other pertinent sources. Each URL in the dataset is meticulously categorized as either "phishing" or "legitimate." Among these URLs, 104,438 have been flagged as phishing URLs, indicating malicious intent, while the remaining 345,738 URLs are classified as legitimate, denoting non-malicious or benign activity. This extensive dataset, drawn from multiple reputable sources, serves as a crucial asset for cybersecurity researchers and practitioners, facilitating the development and validation of advanced techniques for effectively detecting and mitigating phishing attacks.
DOI: 10.17632/nnh69sng8p.4
title: Image Dataset of Bangladeshi Mango Leaf

description: This dataset includes images from six mango varieties—Amrapali, Banana, Chaunsa, Fazli, Haribhanga, and Himsagar—collected from different locations. Photos were taken using the rear cameras of a Google Pixel 6a and an iPhone XR, and resized to 640 × 480 pixels. Each leaf was photographed from both sides against a white paper background. To further enhance the dataset, we applied image augmentation techniques on 837 original images and increased the total number of images to 6696 (837 original and 5,859 augmented).
DOI: 10.17632/gtrc2r2gzd.1
title: Raw Data of the prices of construction materials in the Northern region of Morocco (2005-2020)

description: The dataset presents an exhaustive list of construction materials prices from 2005 to 2020 in the Northern region of Morocco.
DOI: 10.17632/xpygkfbmr7.2
title: Sumber-sumber Sirah Nabawiyah

description: ABSTRACT Sirah means the details of a person's life or the History of a person's life. Ibn Mandzur in the Arabic book Lisanul states that the meaning of as-sirah according to language is habit, path, method and behavior. In general terms, it means the details of a person's life or the history of a person's life. The discussion of Sirah Nabawiyah focuses on the journey and life story of the Prophet Muhammad in detail. The discussion also emphasizes personal traits, morals and the way he lives his daily life that can be emulated. Meanwhile, history is only discussed about events that are considered important that occurred in the past. The Nabawiyah sirah is sourced only from verses of the Al-quran, the hadith of the prophet, and the history of his companions. Through this paper, we provide reliable sources as references when conveying the Sirah of the Prophet Muhammad SAW. Keywords: Source, Sirah, Nabawiyah, Al-Quran, Hadith ABSTRAK Sirah artinya adalah perincian hidup seseorang atau Sejarah hidup seseorang. Ibnu Mandzur dalam kitab Lisanul Arab menyatakan arti as-sirah menurut bahasa adalah kebiasaan, jalan, cara, dan tingkah laku. Menurut istilah umum, artinya adalah perincian hidup seseorang atau sejarah hidup seseorang. Sirah Nabawiyah pembahasannya bertumpu kepada perjalanan dan kisah hidup Nabi Muhammad secara rinci. Pembahasan juga menekankan sifat pribadi, akhlak serta cara dia menjalani kehidupan sehari yang bisa diteladani. Sedangkan sejarah pembahasannya hanya mengenai peristiwa-peristiwa yang dianggap penting yang terjadi pada masa lampau. Sirah Nabawiyah bersumber hanya dari ayat Al-Quran, hadits nabi, dan riwayat para sahabat dia. Melalui makalah ini menyampaikan sumber-sumber yang dapat dipercaya sebagai rujukan ketika menyampaikan Sirah Nabi Muhammad SAW. Kata kunci: Sumber, Sirah, Nabawiyah, Al-quran, Hadis
DOI: 10.17632/sxjgbgg95y.1
title: Data for: A Simple Algorithm for Despiking Raman Spectra

description: Raman spectra collected from a 12 mm tablet using a LabRAM HR Evolution (HORIBA UK Ltd., Stanmore, UK) spectrometer system plus analysis script to annihilate spikes using a newly developed algorithm
DOI: 10.17632/sz8m2fs46d.1
title: Supplementary data for The role of ultraviolet induced fluorescence dermoscopy for the detection of multiple aggregated yellow-white (MAY) globules in basal cell carcinoma

description: Supplementary dermoscopic images for "The role of ultraviolet induced fluorescence dermoscopy for the detection of multiple aggregated yellow-white (MAY) globules in basal cell carcinoma"
DOI: 10.17632/3fm2p4kfbb.1
title: Multi-objectiveOpSolarDesal

description: Repository components for the simulation based on multi-objective optimization with NSGA-II and NSGA-III for design solar desalination systems with the humidification-dehumidification cycle (SDSHDH)
DOI: 10.17632/h3p7zy5vkt.1
title: Replication package for Modeling the Macroeconomic Consequences of Natural Disasters: Capital Stock, Recovery Dynamics, and Monetary Policy

description: Replication package for Modeling the Macroeconomic Consequences of Natural Disasters: Capital Stock, Recovery Dynamics, and Monetary Policy (Eviews and R)
DOI: 10.17632/rxwfb3tysd.2
title: Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H)-2017 shared task

description: This data accompanies the following publication: Title: Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H) 2017 shared task Journal: Journal of the American Medical Informatics Association (JAMIA) The evaluation data (in addition to the training data) was used for the SMM4H-2017 shared tasks, co-located with AMIA-2017 (Washington DC). Please use the latest version of these files to avoid inconsistencies: (currently v2)
DOI: 10.17632/m9rtjdv7gr.1
title: Data & Code: Public data access and stock price synchronicity: Evidence from China

description: This dataset contains Stata code and associated data files for conducting regression analysis of "Public data access and stock price synchronicity: Evidence from China". The data used in this paper are publicly available, and the code is compatible with Stata version 18.
DOI: 10.17632/rn2nr7tjdb.1
title: The N-body interatomic potential for molecular dynamics simulations of diffusion in tungsten

description: This dataset allows reproducing the results from the article "The N-body interatomic potential for molecular dynamics simulations of diffusion in tungsten"
DOI: 10.17632/jhv73gj2d2.1
title: fNIRS DATA

description: The data included stroke patients and normal subjects. When they performed motions of hand, the prefrontal hemodynamic data were recorded.
DOI: 10.17632/wtc2fbych7.1
title: ANALISIS SENTIMEN PENGGUNA TWITTER TERHADAP BEA CUKAI MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) DENGAN MEMBANDINGKAN FEATURE EXTRACTION

description: The fiks.csv dataset is a raw dataset that was just obtained during the data crawling process from Twitter/X. The preprocessing fiks.csv dataset is a dataset that has been preprocessed and the data is ready to use. The dataset-labelin-final.csv dataset is a dataset that has been labeled as positive, negative or neutral using VADER Lexicon.
DOI: 10.17632/t5572kjfnw.1
title: Data on geotechnical properties of soils and multiple regression analysis

description: Shear strength is a principal engineering property of soil. It controls the stability of a soil mass under structural loads and is used in design of foundation. In this study, a survey was carried out in and around the Bhauti region of Kanpur district, Uttar Pradesh and accordingly nine sampling locations were identified. All the samples were collected from a depth of 50 cm and analyzed for different geotechnical properties such as bulk density, dry density, natural moisture content, specific gravity, particle size, Atterberg’s limits and shear strength parameters (cohesion and angle of shearing resistance). The data pertaining to these parameters were compiled and analyzed further. Based on particle size distribution curves, the data on coefficient of uniformity and coefficient of curvature were found out. Correlations between index properties of soils and shear strength parameters were established. Multiple linear regression analysis was carried out to find out the influence of index properties on shear strength parameters. To know the most influencing parameters on cohesion and angle of shearing resistance, stepwise linear regression procedure was carried out. Incorporating the selected variables, multiple regression models were developed to predict cohesion and angle of shearing resistance. The performance of these models was assessed in terms of R (coefficient of correlation), F-statistics and residual patterns. The developed models can be used to predict the shear strength parameters for the study area. Bearing capacity of shallow foundations of the study area was also assessed.
DOI: 10.17632/wcdp9t7ngk.1
title: Data for: A time-sorting pitfall trap and temperature datalogger for the sampling of surface-active arthropods.

description: Supplemental file list “A time-sorting pitfall trap and temperature datalogger for the sampling of surface-active arthropods.” Parts List Epitfall_partsList.xslx – spreadsheet of parts needed for construction, prices, and vendors CAD Epitfall_sampleWheel2d.dwg – 2D CAD file of sampling wheel Epitfall_sampleWheel2d.pdf - PDF version of 2D CAD file of sampling wheel Epitfall_sampleWheel3d.dwg - 3D CAD file of sampling wheel Epitfall_sampleWheel3d.stl – File for 3D printing of sampling wheel Example Data TRAP2.TXT – example data created by pitfall trap TRAP5.TXT – example data created by pitfall trap community_matrix_EMPTY.csv – empty matrix with rows of sampled time intervals with unique sample ID codes. This file is generated by “Epitfall_dataPull.R” community_matrix_FULL.csv – same as above, but with ant identities and abundances entered. Software Epitfall_24hourlySamples.ino – Arduino script to delay start time by 1 day, collect 24 hourly samples, with temperature measurements every 5 minutes during sample collection Epitfall_dataPull.R – R script to read data files from trap, create summaries of each sampling interval, and create an empty spreadsheet with rows of unique sample ID’s in which to enter arthropod abundance data. Wiring Epitfall_wiringDiagram.fzz – Fritzing file of wiring schematic Epitfall_wiringDiagram.png – image of wiring schematic
DOI: 10.17632/j762xjdpmr.1
title: Dataset of occupational stress, job satisfaction and job performance of male fertility patients (Original data)

description: The original data of survey dataset on occupational stress, job satisfaction and job performance among male fertility patients
DOI: 10.17632/xrbtd74pfj.3
title: Image Dataset of Clinical Urine Test Results on Petri Dishes

description: This dataset contains 1500 images of clinical urine cultures in agar plates. The data is structured in three subdirectories corresponding to each exam result: Positive, Negative, and Uncertain. Each subdirectory contains image files in jpeg format and annotations in XLSX files about the respective result of the exams. There are 498 images in the Positive folder, 500 were classified as Negative and 502 as Uncertain.
A specific image acquisition system was developed to support data collection following a standardized process. The system is composed of a tailored hardware chamber integrated with a smartphone providing the camera and a software application. The chamber consists of a white acrylic cubic box made to set a standard environment for the photos, with appropriate conditions of positioning and lighting. The hardware chamber technical drawing is provided in the methods folder. The camera used is embedded in a Samsung Galaxy Note 9 mobile phone with a 4: 3 sensor ratio and 12-megapixel. (The images on the dataset have a 3024-by-3024 pixels resolution each, which is the original camera output resolution considering a square cut to convert the sensor's ratio from 4:3 to 1:1). A mobile software application, using React Native as front-end technology and Firebase as back-end-as-a-service, was developed to support image acquisition.
DOI: 10.17632/6pv5mfh7g8.1
title: Data file to Čerevková A., Sarabeeva V., Renčo M. (2024) Database on soil nematode abundance and composition from invaded and non-invaded grassland and forest ecosystems in Europe

description: The data file provides information on soil nematode genera abundance and composition distributed across grasslands, deciduous forests, and coniferous forest ecosystems in Slovakia, Poland, Lithuania and Russia. The samples were collected from localities invaded by invasive plants as well as from control plots. Invasive plant species included in this dataset are Asclepias syriaca, Fallopia japonica, Heracleum mantegazzianum, H. sosnowskyi, Impatiens parviflora and Solidago gigantea. Soil properties such as pH, moisture content, carbon, and nitrogen levels were recorded for each sample. The data collection process involved standardized soil sampling techniques across all sites, ensuring consistency and comparability. Nematode genera were classified according to feeding types and colonizer-persister class.
DOI: 10.17632/rwrtt92bv6.2
title: Influence of ESG ratings on WACC

description: Dataset for analyzing influence of ESG rating on WACC using financial indicators as control variables. Dataset contains data for 375 companies from developing countries. Financial metrics were download from Bloomberg, ESG ratings from Sustainalytics.