cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/1529780
title: Data from: Less is more: Fewer attract-and-kill sites improve the male annihilation technique against Bactrocera dorsalis

description: The Male Annihilation Technique (also termed the Male Attraction Technique; “MAT”) is often used to eradicate pestiferous tephritid fruit flies, such as Bactrocera dorsalis (Hendel). MAT involves the application of male-specific attractants combined with an insecticide in spots or stations across an area to reduce the male population to such a low level that suppression or eradication is achieved. Currently, implementations of MAT in California and Florida targeting B. dorsalis utilize the male attractant methyl eugenol (ME) accompanied with a toxicant, such as spinosad, mixed into a waxy, inert emulsion STATIC ME (termed here “SPLAT-MAT-ME”). While highly effective against ME-responding species, such applications are expensive owing largely to the high cost of the carrier matrix and labor for application.  Until recently the accepted protocol called for the application of approximately 230 SPLAT-MAT-ME spots per km2; however, findings from Hawaii suggest a lower density may actually be more effective. The present study adopted the methods of that earlier work and estimated kill rates of released B. dorsalis under varying spot densities in areas of California and Florida that have had recent incursions of this invasive species. Specifically, we directly compared trap captures of sterilized marked B. dorsalis males released in different plots under three experimental SPLAT-MAT-ME densities (50, 110, and 230 per km2) in Huntington Beach, CA; Anaheim, CA; and Sarasota-Bradenton, FL. The plots with a density of 110 sites per km2 had a significantly higher recapture proportion than plots with 50 or 230 sites per km2. This result suggests that large amounts of male attractant may reduce the ability of males to locate the source of the odor, thus lowering kill rates and the effectiveness of eradication efforts. Eradication programs would directly benefit from reduced costs and improved eradication effectiveness by reducing the application density of SPLAT-MAT-ME.
Resources in this dataset:


Resource Title: Longitudes and latitudes of experimental plots and release transects
File Name: 2023-09_plots-transects-geodata.csv
Resource Description: Areas where release recapture experiments were conducted.


Resource Title: Longitudes and latitudes of traps used in experiments (LPDs)
File Name: 2023-10_traps-locations.xlsx


Resource Title: Number of flies caught in each trap at each check
File Name: 2023-10_trap-catch.xlsx


Resource Title: Locations of traps, release transects, plots
File Name: 2023-10_MAT-CA-FL.kml


Resource Title: Numbers of flies left in containers after release
File Name: 2023-10_remaining-in-release-containers.xlsx


Resource Title: Quality Control data for each cohort used in releases
File Name: 2023-10_quality-control.xlsx


Resource Title: Metadata
File Name: metadata.txt
DOI: 10.17632/bzd2gx233r
title: Sex-specific differences in the influence of maternal obesity on sphingolipid status in the maternal-placental-fetal unit and on placental transcriptome 

description: Results concerning altered biological processes and genes during maternal obesity in male and female human placenta based on transcritomic data. 
Results concerning Sphingolipid profile in the maternal-placental-fetal unit during maternal obesity and by fetal sex.
Results concerning several placental oxidative stress markers during maternal obesity and by fetal sex.
DOI: 10.17632/vv9n57g87g
title: Targeted brain metabolomics in two Lafora disease mouse models with or without PPP1R3C-deficiency

description: Targeted metabolomic profiles (protein-normalized relative abundances of brain metabolites) were obtained in two Lafora disease mouse models in the presence or absence of PPP1R3C (PTG). Genotypes and biological replicates are as follows: Cohort 1 WT1 (Epm2a+/+, Ppp1r3c+/+) n=9, LKO (Epm2a-/-, Ppp1r3c+/+) n=7, DKO1 (Epm2a-/-, Ppp1r3c-/-) n=10, PKO1 (Epm2a+/+, Ppp1r3c-/-) n=8; WT2 (Nhlrc1+/+, Ppp1r3c+/+) n=11, MKO (Nhlrc1-/-, Ppp1r3c+/+) n=9, DKO2 (Nhlrc1-/-, Ppp1r3c-/-) n=10, PKO2 (Nhlrc1+/+, Ppp1r3c-/-) n=6.
DOI: 10.17632/yy2fs3dtvg
title: Human Factor in Maritime Accidents (1993-2012)

description: Data for occurrences from 1993 and reported to MAIB by the end of April 2012 is attached. Data is provided for all vessel types, for accidents, injuries and near misses reported to MAIB. Accident, and other terms used in the attachment have the meanings specified in Merchant Shipping (Accident Reporting and Investigation) Regulations until the revocation of SI 2005 No. 881 in 2012.
DOI: 10.17632/zvhpnm4nsf
title: Audit tool for medicolegal reports

description: Audit tool and guidelines for reviewing clinical forensic medicine legal reports
DOI: 10.17632/4zdjpmr9jk
title: Multiscale_lineament_analyses_dataset

description: This dataset contains the shapefiles (Bomlo_lineaments_paper.gdb) of the manually picked lineaments and the results (excel tables and spreadsheets) of the analyses and characterizations of geometrical properties (orientation, lengths, density, intensity, spatial organization).
DOI: 10.17632/273p5pc7hd
title: Dataset on the Influence Of Digital Literacy On Intention to Use Investment Applications in Generation Z: A Case Study on Financial Products

description: This dataset contains responses from a survey analyzing the impact of digital literacy on Generation Z’s intention to invest in financial products through investment applications. The data includes key variables such as digital literacy levels, investment awareness, behavioral intention, perceived ease of use, perceived risk, and demographic factors. The study aims to identify the extent to which digital literacy influences financial decision-making among young investors and how technology adoption plays a role in shaping their investment behavior.

The dataset is structured to support statistical analysis, hypothesis testing, and predictive modeling, making it valuable for academic research, business insights, and financial technology development.
DOI: 10.17632/k3djjvjwvm
title: Data: "From Pasture to Plantation: drivers of deforestation and land use succession to oil palm in the Brazilian Amazon"

description: Raw-data of the manuscript "From Pasture to Plantation: drivers of deforestation and land use succession to oil palm in the Brazilian Amazon". Econometrics procedures are not avaliable. 
This study aim to address the following questions: (1) Is the dynamics of land use change in Brazilian Amazon influenced by the oil palm plantations? (2) Is there temporal and spatial correlation between deforestation and oil palm production?
DOI: 10.17632/t6t82b2h7h
title: Dataset for: Machine learning application to automatically classify heavy minerals in river sand by using SEM/EDS data

description: Among them, three tables include the EDS data of analyzed elements including 90-second elemental data of 2255 grains, 40-second elemental data of 492 grains and 6- second elemental data of 320 grains, respectively. The tables 4-7 include the confusion matrixes based on datasets of different analyzing times and different decision attributes.
DOI: 10.17632/kx83jd9wgp
title: Data for: Krackhardt Data Over Time: The Evolution and Emergent Properties of Network Perceptions 

description: Manuscript presenting this data and descriptive findings under development with early draft being updated on SSRN ( https://ssrn.com/abstract=3408547) . 

The data consist of 6 consecutive weeks of Krackhardt data (aka Cognitive Social Structures or CSS) for 20 leadership students working together in 4 groups and experiencing a high-affect group-based experience at week 3. Network data provide structural perceptions, including self, for both Advice and Friend relations. Additional data include assorted participant attributes including study group memberships, groups based quantitative and qualitative outcomes from the mid-course experience, and a full description of that experience (a learning exercise inspired by the classic Prisoner's Dilemma).  Survey questions utilized are also provided. Please note that the network data are provided in two different formats: 1) format is CSV , with multiple individual files (and interpretation instructions) within a ZIP compressed file and  2) an RData file that may be of greater interest to R programmers. 

The researcher sharing this data appreciates your use of this data with attribution in acknowledgement of this effort and in support of open data for our research community.
DOI: 10.17632/pf5dbgwkbm
title: Respiratory Pressure and Flow Data Collection Device Providing a Framework for Closed-Loop Mechanical Ventilation

description: This repo contains the files to replicate a pressure and flow sensor device offering personalized mechanical ventilator support in a closed-loop control system. This device improves on previous respiratory data collection devices and is optimized for the invasive mechanical ventilation use case. 

In current practice, patient response to mechanical ventilation is highly variable, and not patient specific. Furthermore, current weaning best-practice relies on clinical experience which can lead to variability and inequity in both care and health outcomes. Personalized care can improve these inequities when combined with digital twin models, which simulate physiology based on patient specific data. 

The device consists of two 3D printed custom Venturis and a Y-piece, with differential pressure sensors measuring gauge, inhalation and exhalation pressure at the patient. The system uses BLE communication between ESP32-S3 development boards to facilitate the closed loop framework. Within this loop, pressure data is sent to a digital beside sheet, which runs digital twin protocols and sends commands to a BLE controlled ventilator. Overall, this device allows the future development and validation of personalized mechanical ventilation treatment through integration with digital twin models.
DOI: 10.17632/r7774rwc7v
title: Data for: A Realistic and Public Dataset with Rare Undesirable Real Events in Oil Wells

description: This is the first realistic and public dataset with rare undesirable real events in oil wells as far as the authors of this work know. It can be used in development of several kinds of techniques and methods for different tasks associated with undesirable events in oil and gas wells.
DOI: 10.6084/m9.figshare.6977741.v1
title: Scripts and data files for Ellner et al. (2018) Ecology Letters, "An Expanded Modern Coexistence Theory for Empirical Applications"

description: R scripts and data files associated with the paper "An Expanded Modern Coexistence Theory for Empirical Applications" by S.P. Ellner, R.E. Snyder, Peter B. Adler, and Giles J. Hooker (Ecology Letters, 2018). <br>
DOI: 10.17632/8vtxpg68jp
title: Electricity tariff

description: Electricity tariff of Guangdong Province by building types
DOI: 10.17632/fjf53hc6tv
title: Empirical Investigation of factors affecting scope creep in agile global software development

description: The survey method was used to validate scope creep factors from the agile global software development industry. About 1450 software project managers were approached having experience of three years or greater than three years on LinkedIn. The software project managers were first contacted by message on LinkedIn and asked to participate in the research. If the software project managers agreed to participate, the questionnaire was sent to them through a message on LinkedIn. Ultimately, 306 Software Project Managers filled the survey and allowed us to take advantage of their software project estimation experience. We have included the 155 responses of the project manager working in agile global software development to identify the industry's critical factors. Moreover, the questionnaire was distributed in more than 24 countries for the legitimacy of the results. A five-point Likert scale was used in the questionnaire with each identified cost driver (Strongly agree, Agree, Neutral, Disagree, strongly disagree). The obtained responses were then converted into percentages and further refined with data analysis techniques. The questionnaire consists of three parts. The questionnaire contains a closed-ended question. Organization Details about the software house and the respondents were obtained from the first part of the survey. The second part of the survey liberated data about the scope creep factors faced in agile global software development used in that specific software house. The third portion asked tools that organizations use to manage scope change, and human factors influence scope creep in also evaluated. We have followed the literature scope creep factor, which we have validated from AGSD project managers.
DOI: 10.17632/zxdsbcs82k
title: Cordoaria CVM

description: A CVM was applied to i) collect information, ii) assess preferences regarding cultural habits and practices, and iii) elicit the value attributed to the preservation of the landscape. The data collection process involved the use of a survey comprising three sections. A total of 555 questionnaires were collected in late November 2022. The first section of the survey focused on questions related to cultural habits and practices, including attitudes towards cultural goods and services, as well as their feelings about the landscape. The second section presented the CVM, explaining the elicitation method and the payment vehicle. The survey concluded with a set of sociodemographic questions. Participants for the questionnaire were recruited through the Prolific platform, a service that connects individuals willing to participate in surveys (Palan & Schitter 2018).
DOI: 10.6084/m9.figshare.22083131.v2
title: Qualitative raw data

description: None
DOI: 10.17632/gny25p96zw
title: Detecting the backfill pipeline running status through LSTM based deep learning model

description: This dataset contains all the raw data, python codes, and the LSTM-DL model for the manuscript ''Detecting the backfill pipeline running status through LSTM based deep learning model''.
DOI: 10.17632/ggv2wk8ssp
title: Impact of thermal treatment process over carbon based single point cutting tool

description: In this research work, we have found that tool wear rate of the materials of high-speed steel and Stainless steel of 440C Grade which are having optimum composition of carbon and other constituents. Here we have expounded the distinguishing characteristics of high-speed steel and Stainless Steel in respect to the tool wear. Subsequently, we have carried out heat treatment process, where two machined specimens were kept inside the muffle furnace once it attained required temperature, it was maintained at that temperature for a certain period of time and then cooled back to room temperature, we have conducted hardness test, tool wear test. In addition to these cutting operations have performed over mild steel workpiece.
DOI: 10.17632/j88f62p7wv
title: Willingness to donate to the COVID-19 vaccine fund of highly educated people in Vietnam

description: The survey was carried out in Ho Chi Minh City in June 2021. The dataset includes 537 valid responses.
DOI: 10.17632/7hjmb2bxdh
title: Chemical recycling of End-of-Life wind turbine blades

description: This report proposes an effective, environmentally-benign, small molecule-assisted, dynamic reaction approach for recycling waste wind turbine blades. At temperatures below 200 °C, thermoset ester-containing resins in waste wind turbine blades and carbon fiber composites were efficiently dissolved via a transesterification reaction. The obtained glass and carbon fiber materials were easily separated from the product solution. Experimental findings demonstrated that this method could recycle a wide range of genuine carbon and glass fiber resin composites, including wind turbine blades constructed from epoxy-anhydride and polyester resin substrates,
DOI: 10.17632/nfrz39xtnb
title: Bathymetry and sub-bottom profile data

description: Bathymetry and sub-bottom profile data for the manuscript "Geomorphological characteristics and mechanisms of pockmarks in submarine canyons of the Pearl River Mouth Basin, northern South China Sea"
DOI: 10.17632/ycm5dpgc67
title: Data and code: Prediction of Paroxysmal Atrial Fibrillation based on Time- frequency Analysis Network and related studies (Manuscript)

description: These data and codes were used in the submitted manuscript "Prediction of Paroxysmal Atrial Fibrillation based on Time- frequency Analysis Network and related studies", which includes all data and codes for this study.
The AFPDB database used in this study is a public dataset and therefore not uploaded here, the download link is https://physionet.org/content/afpdb/1.0.0/.

Data: It contains the clinical data from Shandong Provincial Hospital (SPHD) used in this study, and the data have been removed from sensitive information. It includes the original .edt data file and the .csv annotation file, all 24h ECG records. Since Mendeley only has 10G of space available, only a portion of the raw data were uploaded. To avoid lack of space and to ensure that all data is uploaded, we also upload the processed .m data files, which are all the data for this study. 'data_n.m' and 'data_p.m' are data from the AFPDB database, and 'data_paf.m' and 'data_nor.m' are the data in SPHD. ' T-Fmaps' folder is the generated ECG time-frequency map and RR interval time-frequency map.

Code: 'edtReader.m' is the code to read the .edt file; 'ConstructTFANet.mlx' is the code to construct TFANet; 'TFANet.m ' is the TFANet network; 'PAFpredict.m' is the code for prediction experiments; 'PAFpredictcross' is the code for cross-patient experiments. No 5 cross-patient experiments were uploaded separately, and only the input data needed to be changed at runtime. The remaining files are functions for denoising and normalization, functions for generating time-frequency maps, code for predicting PAF using RR intervals, predicting PAF based on different time durations, predicting PAF using three classical CNN models, deep learning visualization, and so on. The running environment is Matlab R2022b.
DOI: 10.6084/m9.figshare.5125660.v1
title: Supplementary Material for: Alterations of Global Histone H3K9 and H3K27 Methylation Levels in Bladder Cancer

description: <b><i>Background:</i></b> Epigenetic alterations, including histone modifications, play an important role during carcinogenesis. This study was designed to systematically investigate histone H3K9 and H3K27 methylation levels in bladder cancer (BCa) tissue. <b><i>Methods:</i></b> A tissue microarray with urothelial BCa (150 non-muscle-invasive BCa, NMIBC; 121 muscle-invasive BCa, MIBC; 31 metastatic BCa, MET) and normal urothelium (29, CTRL) specimen was used to determine the global levels of H3K9 and H3K27 mono-, di- and tri-methylation. <b><i>Results:</i></b> Global levels of H3K9 and H3K27 methylation were significantly higher in CTRL than in BCa, and levels in NMIBC were higher compared to MIBC. Histone methylation levels of MET resembled MIBC. We observed furthermore a correlation of histone methylation levels with pT stage (H3K9me1, H3K9me2, H3K9me3, H3K27me1, H3K27me3) and grade (H3K9me2, H3K9me3, H3K27me1) in NMIBC. H3K9me1, H3K9me3, H3K27me1 and H3K27me3 levels were also correlated with pT stage in MIBC. Histone modifications were not associated with recurrence-free or cancer-specific survival. <b><i>Conclusions:</i></b> Global histone H3K9 and H3K27 methylation levels are altered in BCa.
DOI: 10.17632/tfp83376g5
title: Kalisman et al., 2023, WRR

description: Average values of effective saturation, SE, and measured range for three experimental repeats of each treatment: continuous flux (CF) and pressure-pulse flux (PPF); at 0.25, 0.5, 1, and 2 bar boundary pressure.
For each set, the results are a spatial average of a 2 cm long section from 0-16 cm depth.
DOI: 10.17632/2h84fphrhx
title: Low Interest Rates, Capital Misallocation and Welfare

description: Replication file
DOI: 10.17632/bfk3hvdcnt
title: DMO social media engagement dataset

description: The dataset consists of 21677  tweets posted from 25th March 2019  to 31st January 2022 by 23 Destination marketing organizations (DMO). The tweets were collected to study the social media content strategy of DMOs. Specifically, the research attempted to study how the linguistic features in social media content strategies of DMOs change during the pre-Covid, lockdown and post lockdown phases and what was its impact on social media user engagement. Accordingly the data constitutes key variables like confidence and positive engagement expressed in a tweet,  the amount of cognitive content embedded in a tweet,  the media type, number of hashtags, mentions and word count of a tweet. The number of likes and retweets associated with each tweet is also captured. The dataset also captures the date and time stamp of each tweet to classify it according to three different phases namely, pre-COVID, during lockdown and post-COVID. The timelines are choses as per the Government of India's declaration of the lockdown.
DOI: 10.17632/cnwxbw8x48
title: Complementary and Alternative Medicine in Dermatomyositis: A Scoping Review: Search Strategy

description: This figure includes the search strategy and methods for our scoping review.
DOI: 10.17632/fhzfnwsnzf
title: PASMVS: a dataset for multi-view stereopsis training and reconstruction applications

description: A large collection of high precision synthetic, path-traced renderings for use in multi-view stereopsis and 3D reconstruction applications. The material properties are primarily highly specular (reflective metals). Ground truth depth maps, model geometry, object masks and camera extrinsic and intrinsic data is provided together with the rendered images. A total of 18,000 samples are provided (45 camera views for 400 scenes), varying the illumination using five, high-definition HDR environment textures, four models (teapot, bunny, armadillo and dragon), ten material properties (bricks, brushed metal, ceramic, checkerboard, concrete, copper, grunge metal, marble, piano/ivory, and steel) and two camera focal lengths (35 mm and 50 mm). File descriptions: + PASMVS.blend - Blender file (developed using Blender version 2.8.1) used to generate the dataset. The Blender file packs only one of the HDR environmental textures to use as an example. + PASMVS_sample.jpg - a visual collage of 8 scenes, illustrating the variability introduced by using different models, illumination, material properties and camera focal lengths. + PASMVS_576p.tar.xz - The full PASMVS dataset containing all 400 scenes (768x576 pixel resolution). Note that tar.xz archive used due to file size limitations (7.8 Gb); uncompressed the total file size is approximately 35 Gb. The "index.csv" in the root folder provides a summary for all 18,000 scenes, specifying the corresponding file names alongside the the subfolder. + PFMdemo.zip - Python example source code for loading ground truth depth map (PFM file format) as a numpy array. + modelSTL - Stereolithography (STL) file for the models used in the dataset. + sample_armadillo1bricks50mm.zip - A single PASMVS scene sample for easy viewing and download.