cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14621613
title: ORNLERASE - EPA RADON VAPOR INTRUSION SCREENING LEVELS

description: Radon vapor intrusion screening levels (RVISLs) are a subset of preliminary remediation goals (PRGs), both of which fall under the broader category of screening levels (SLs). RVISLs provide concentration benchmarks for groundwater, soil gas (both sub-slab and exterior to buildings), and indoor air, helping Agency staff make informed decisions about radon vapor intrusion based on limited, initial data. The primary purpose of this dataset is to assist risk assessors, remedial project managers, and other decision-makers working at Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) sites. It supports the development of RVISLs or PRGs for indoor radon isotopes Rn-222, Rn-220, and Rn-219 that are based on risk or dose calculations. Additionally, it aids in demonstrating compliance with the indoor radon standards for Rn-222 and Rn-220 under the Uranium Mill Tailings Radiation Control Act (UMTRCA).
DOI: 10.5281/zenodo.14621614
title: ORNLERASE - EPA RADON VAPOR INTRUSION SCREENING LEVELS

description: Radon vapor intrusion screening levels (RVISLs) are a subset of preliminary remediation goals (PRGs), both of which fall under the broader category of screening levels (SLs). RVISLs provide concentration benchmarks for groundwater, soil gas (both sub-slab and exterior to buildings), and indoor air, helping Agency staff make informed decisions about radon vapor intrusion based on limited, initial data. The primary purpose of this dataset is to assist risk assessors, remedial project managers, and other decision-makers working at Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) sites. It supports the development of RVISLs or PRGs for indoor radon isotopes Rn-222, Rn-220, and Rn-219 that are based on risk or dose calculations. Additionally, it aids in demonstrating compliance with the indoor radon standards for Rn-222 and Rn-220 under the Uranium Mill Tailings Radiation Control Act (UMTRCA).
DOI: 10.15468/dl.bscp9y
title: Occurrence Download

description: A dataset containing 4007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bouteloua dactyloides (Nutt.) Columbus",
 "Year 1980-2025"
 ]
}

 The dataset includes 4007 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015863-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7nwww
title: Occurrence Download

description: A dataset containing 34201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "MediaType is Audio",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cicadidae, Orthoptera)"
 ]
}

 The dataset includes 34201 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015862-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eshk2s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aiouea breedlovei (Lundell) R.Rohde)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015865-250127130748423/datasets/export for details.
DOI: 10.13140/rg.2.2.29875.96802
title: Historical Ge'ez Manuscripts Dataset (HGMD 1.0).rar
DOI: 10.13140/rg.2.2.16663.91040
title: 1E2555CA-73F5-4E68-9A0C-BEA0EE5FC9D9
DOI: 10.13140/rg.2.2.30164.32647
title: 164D915D-51BF-4478-A8B9-989CE2D1CDF5
DOI: 10.13140/rg.2.2.34358.63040
title: 499C2213-3D3F-49A0-A7D5-EC79AE366DCA
DOI: 10.13140/rg.2.2.35197.49125
title: 4F854232-198C-4112-9C17-8D372526101E
DOI: 10.13140/rg.2.2.36088.78088
title: Pakistan Military Review-Military Virtue Buried under 30 Feet of Sewerage Water: Corruption in Pakistan Army and Raheel Sharifs Failures to curb it Paperback -April 27, 2016
DOI: 10.13140/rg.2.2.12246.78402
title: NAJČEŠĆI VESTIBULARNI POREMEĆAJI
DOI: 10.13140/rg.2.2.20425.67686
title: ORBAT BOMBAY DIVISION ATTACKING SERINGAPATTAM JANUARY 1792
DOI: 10.13140/rg.2.2.35105.74083
title: Certificate - Member of the Scientific Committee.
DOI: 10.15468/dl.t2u2nc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nyctelia porcata"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008655-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsrmqj
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Awaous flavus (Valenciennes, 1837)"
 ]
}

 The dataset includes 118 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008654-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3mhnr7frht.1
title: RAWDysPeech: A Preprocessed Raw Audio Dataset For Speech Dysarthria

description: RAWDysPeech: A Preprocessed Raw Audio Dataset For Speech Dysarthria is a Speech Dysarthria Dataset for the applicaton of Audio Classification, Speech Detection and similar avenues of research in ASR. 
RAWDysPeech consists of raw audio files segregated into two classes: 1 and 0, where 1 is for speech involving Dysarthria and 0 is for normal speech. We combine and preprocess some of the most popular speech datasets available open sourced. TORGO, UASPEECH, Ultrax, EasyCall are a few to be named. 
Here's a brief description of the steps taken to preprocess and combine and we also encourage you to cite the original authors if this dataset helps in your research.
--------------------------------------------------------
This dataset provides preprocessed speech recordings from the UASPEECH database, specifically enhanced for machine learning applications using advanced noise reduction and signal processing techniques.

Dataset Description
The dataset contains audio recordings that have been processed using:

I. FFT-based noise reduction:
Hanning window application for better frequency analysis
16-bit audio depth processing
44.1 kHz sampling rate[1]
Stereo channel support with dual MEMS microphone configuration[2]

II. Preprocessing Steps
Signal Processing

Background noise subtraction using ambient noise sampling
Frequency spectrum analysis with FFT
Amplitude scaling and normalization
Single-sided FFT amplitude doubling for accurate frequency representation[1]

III. Audio Parameters

Bit Depth: 16-bit (pyaudio.paInt16)
Sample Rate: 44.1 kHz
Buffer Size: 44100 frames
Channel Configuration: Supports both mono and stereo recording[2]

IV. File Format
Audio files are saved in .WAV format
Timestamps are included in filenames (YYYY_MM_DD_HH_MM_SS_pyaudio)
Data is organized in dedicated data folders with automated directory creation[1]

V. Applications
Speech Recognition Systems
Dysarthric Speech Analysis
Audio Classification Tasks
Speech Pattern Recognition
Acoustic Model Training
Technical Implementation
The preprocessing pipeline includes real-time audio capture, noise profiling, FFT analysis, and spectrogram generation, making it suitable for both research and practical applications
---------------------------------------------------
Citations: 
[1] Heejin Kim, Mark Hasegawa Johnson, Jonathan Gunderson, Adrienne Perlman, Thomas Huang, Kenneth Watkin, Simone Frame, Harsh Vardhan Sharma, Xi Zhou, March 17, 2023, "UASpeech", IEEE Dataport, doi: https://dx.doi.org/10.21227/f9tc-ab45.
[2] Rudzicz, F., Namasivayam, A.K., Wolff, T. (2012) The TORGO database of acoustic and articulatory speech from speakers with dysarthria. Language Resources and Evaluation, 46(4), pages 523--541.
[3] Shah, Arya; Qureshi, Aymen; Polprasert, Chantri (2024), “ADAPTIVE: A Novel Dataset For Acoustic DysArthria deTection through temPoral Inference and Voice Engineering”, Mendeley Data, V1, doi: 10.17632/j5bgddf6rp.1
DOI: 10.17632/v4dvk86gbz.1
title: PepperDisease

description: This dataset is a curated collection of images and metadata used for the study titled "A Multi-Modal Framework for Pepper Disease and Pest Detection". The dataset includes high-quality images of pepper plants exhibiting various symptoms of diseases and pest infestations, annotated with relevant metadata for use in machine learning and deep learning applications. It is designed to support researchers and practitioners in developing and evaluating models for accurate disease diagnosis and pest identification in agricultural settings.
This dataset is particularly suited for:

Developing supervised learning models for disease and pest detection.
Training image classification, object detection, and segmentation algorithms.
Evaluating the robustness of algorithms under varying environmental conditions.

Due to confidentiality agreements with agricultural partners, this dataset represents only a subset of the complete data used in the study.
The complete dataset and associated code are available upon request. Please contact the corresponding author for details.
After project completion, the full dataset will be made publicly available on GitHub.
DOI: 10.17632/8vpx33d8dw.1
title: Western blot

description: Raw Western Blots
DOI: 10.17632/2r9wzh9z5v.1
title: Lithium, Magnesium and Zinc Isotope Systematics of Late Jurassic Mafic Dikes from the Eastern North China Craton

description: The petrological characteristics and geochemical compositions of Late Jurassic Mafic Dikes from the Eastern North China Craton
DOI: 10.17632/4vcpd832ct.1
title: Geochemical, hydrochemical and microbial data base

description: Experimental data supporting the manuscript “Effect of geological structure on natural attenuation of chloroethenes in the aquifer-hyporheic zone system”
DOI: 10.17632/7dyj47grh5.1
title: Adoption and usage of Internet Banking “A Technological Perspective

description: Apart from the traditional type of banking services, customers today require more personalised products and services, and able to access such services at any time and at any place. Although it is not essential for banks to stay competitive, Internet banking is one of the advanced information technologies they can be employed to achieve a high level of customer services. This study explores the factors influencing the adoption and usage of Internet banking in technological perspective. The research commonly uses applied and empirically supported models of information technology adoption to achieve the objective. In this study technology acceptance model (TAM) is extended by two external variables, namely risk and self efficacy. Data were collected using a survey on banking customers in a state area in Malaysia and analysed using hypotheses testing model variables. The results reveal that perceived usefulness, perceived ease of use, and self efficacy have a significant association with intention to use Internet banking. The results of this study also indicate that extended TAM model have low capabilities in explaining the variances in “users' intention to adopt or use Internet banking services.
DOI: 10.17632/dpvrhkyk7y.1
title: Redundant Brake Light Signals in Simulated Driving Project Data

description: 1. Brake light project raw data
2. Extracted data for statistical analysis
DOI: 10.17632/78sht3jsr2.1
title: Flexibility in Choosing Decision Policies in Gathering Discrete Evidence Over Time

description: The datasets are related to the article “Flexibility in Choosing Decision Policies in Gathering Discrete Evidence Over Time.” This study involved two different experiments: a visual experiment and an auditory experiment. So, there are separate datasets for them.
In both tasks, subjects completed four blocks of 168 double and single-pulse trials. In almost 80% of all trials, the stimuli were presented to the subject in two discrete pulses, with the pulses being separated by a temporal gap or an inter-pulse interval (IPI). The duration of each IPI was chosen from a set of four values (0, 120, 360, 480, 1080 ms). Three stimulus strength levels were employed for each pulse of the double-pulse trials, 25%, 30% and 35% for the visual task and 200%, 150% and 100% noise-to-signal ratios for the auditory task.
DOI: 10.17632/4t24ckcvgr.1
title: Dados Agro

description: Data on agribusiness companies associated with B3 in Brazil from 2018 to 2023
DOI: 10.17632/s3p9jp4hjk.1
title: Influence of Faculty Expertise on Hands-on STEM Education: Examining the Roles of Pedagogical Approaches, Curriculum Design, and Resources at Higher Education Institutions in Mogadishu, Somalia

description: The data presented provides insights into the influence of faculty expertise, pedagogical approaches, curriculum design, and resources on hands-on STEM education in higher education institutions in Mogadishu, Somalia. This data was obtained through an online survey administered to academic staff members, employing a stratified random sampling technique.
DOI: 10.15468/dl.2ew46j
title: Occurrence Download

description: A dataset containing 609081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2004",
 "DecimalLongitude is greater than or equal to 7.0",
 "DecimalLongitude is less than or equal to 15.5",
 "DecimalLatitude is greater than or equal to 54.5",
 "DecimalLatitude is less than or equal to 58.0"
 ]
}

 The dataset includes 609081 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008482-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7hsc3z9kp4.1
title: Po River planimetric adjustment and degree of anthropogenic confinement (1954-2021)
DOI: 10.17632/3mcz5hy342.1
title: PIM treatments optimization with PM-TOM using STOPP and Beers criteria and ChatGPT - a case study

description: PM-TOM (Personalized Medicine: Therapy Optimization Method) is a decision support tool designed to find treatments with the minimal STOPP and Beers criteria risks and ADRs caused by ADEs, DDIs, DCIs, DGIs and DFIs. The tool optimizes a treatment by considering drug classes selected by health professionals and applicable to the patient's conditions. The data set includes the details about the admission, discharge and optimized treatments and their comparison.
DOI: 10.17632/3mcz5hy342.2
title: PIM treatments optimization with PM-TOM using STOPP and Beers criteria and ChatGPT - a case study

description: PM-TOM (Personalized Medicine: Therapy Optimization Method) is a decision support tool designed to find treatments with the minimal STOPP and Beers criteria risks and ADRs caused by ADEs, DDIs, DCIs, DGIs and DFIs. The tool optimizes a treatment by considering drug classes selected by health professionals and applicable to the patient's conditions. 

This data set includes the details of a polypharmacy treatment of an older patient's case at admission to a deprescribing facility, discharge, and after applying the PM-TOM optimization. All three treatments were reviewed by ChatGPT 4.0, trained on a large set of medical literature, which confirmed the benefits of the optimized treatment and its alignment with the Beers and STOPP/START criteria. 

The integrated PM-TOM and ChatGPT approach has several advantages: 
1. PM-TOM simplifies finding and reviewing effective drug regimens, allowing healthcare providers to leverage their expertise more efficiently.
2. Detailed PM-TOM reports facilitate the involvement of pharmacists in monitoring and adjusting polypharmacy treatments. 
3. Targeted PM-TOM recommendations help reduce non-actionable alerts, mitigating alert fatigue and minimizing prescribing errors.
4. PM-TOM rapidly evaluates and optimizes complex treatment plans, enabling consideration of multiple safe alternatives. 
5. When applied at the primary care level, this approach helps prevent and reduce inappropriate prescribing, including prescribing cascades.
6. AI tools like ChatGPT, trained on up-to-date medical information, provide additional insights to help healthcare providers refine treatment plans.
DOI: 10.15468/dl.ps2f8c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 76",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008660-241107131044228/datasets/export for details.
DOI: 10.15468/dl.y8j6kh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.65202 25.46927,-100.03742 24.99511,-99.92265 25.04796,-99.90151 25.12045,-100.27752 25.5931,-100.45073 25.70944,-100.82265 25.73203,-100.65202 25.46927))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hedera helix L."
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008658-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mjtx7
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Vicugna pacos (Linnaeus, 1758)"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008662-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2yun7
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notarius rugispinis (Valenciennes, 1840)"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008663-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy5ahy
title: Occurrence Download

description: A dataset containing 1143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrrhulina filamentosa Valenciennes, 1847"
 ]
}

 The dataset includes 1143 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008659-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yc68ym
title: Occurrence Download

description: A dataset containing 22621 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UPS Coleoptera Collection"
 ]
}

 The dataset includes 22621 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008661-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4bfs4rr3m6.1
title: EDUBOT: A comprehensive General Science Question Answering Dataset in Bangla Language

description: Chatbots are increasingly being used for a wide range of services that require interaction in natural language processing. Working with Bangla Natural Language Processing (NLP) is a notable challenge in Bangladesh due to the complexity of the language. To address this, Edubot is created as an educational tool designed to facilitate the development of a question-answering system in the Bangla language, specifically focused on general science topics. This dataset is intended to support the creation of educational tools capable of answering science-related questions in Bangla, covering subjects such as biology, chemistry, physics, and environmental science.

We developed a comprehensive dataset comprising 3,379 questions paired with answers related to general science, all presented in the Bangla language. The data is structured into two columns and is available in CSV format for ease of use.

The dataset includes the following key components:
1. The dataset gathers a variety of resources, including textbooks, articles, and other educational materials.
2. Questions are developed to evaluate comprehension and strengthen understanding of general science concepts.
3. Edubot provides each general science question with a clear, accurate answer, along with the answer's starting position in the dataset for easy reference and verification.

This dataset is highly beneficial for advancing research and development in Bangla NLP, particularly in creating machine learning and artificial intelligence-driven educational chatbots and conversational AI systems.
DOI: 10.5281/zenodo.14082418
title: PR1_M2.951

description: Datasets que contenen la informació relativa a les promocions del supermercat BP-Esclat i els seus establiments obtingunts mitjançant web-scrapping
DOI: 10.5281/zenodo.14082419
title: PR1_M2.951

description: Datasets que contenen la informació relativa a les promocions del supermercat BP-Esclat i els seus establiments obtingunts mitjançant web-scrapping
DOI: 10.6084/m9.figshare.27662301
title: Raw Data for Figure E31287J18

description: Raw Data for Figure E31287J18
DOI: 10.6084/m9.figshare.27662301.v1
title: Raw Data for Figure E31287J18

description: Raw Data for Figure E31287J18
DOI: 10.48610/f1be0dc
title: Dataset - Dietary supplementation with lemon balm, Melissa officinalis, does not improve performance of juvenile barramundi (Lates calcarifer) held under chronic high temperature

description: This data is associated with the publication 'Dietary supplementation with lemon balm, Melissa officinalis, does not improve performance of juvenile barramundi (Lates calcarifer) held under chronic high temperature'. The data includes measurements from 3 treatments of Asian sea bass held under chronic thermal stress (37C) and fed one of three experimental diets: the control diet (no Melissa officinalis (MOF) added), 0.2% MOF, and 0.5% MOF. Measurements include survival over the course of the experiment, growth metrics such as absolute mass gain, feed conversion ratios, specific feeding rates, and specific growth rates. There is also data for physiological performance in resting and maximum metabolic rates and the resultant aerobic scope. Finally, a subset of fish were sampled for baseline values and then the remainder crowded for 2 hrs before the sampling was repeated. Sampling values include haematocrit, haemoglobin, plasma cortisol, whole blood lactate and glucose levels. All data files are saved as CSV files.