cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8222783
title: Creating speech zones with self-distributing acoustic swarms (Augmented Dataset Part 2 of 2)

description: Datasets used in the paper: "Creating speech zones with self-distributing acoustic swarms" This deposit contains the <strong>second</strong> part of the augmented dataset containing simulated and real world collected data. The datasets contains 18000 training mixtures of 3-5 speakers, of which 6000 are simulated using PyRoomAcoustics, 6000 are created from synchronized real world recordings in an anechoic chamber, and 6000 are created from synchronized recordings in ordinary reverberant rooms. It also includes a validation set of 500 mixtures from reverberant rooms, and a testing set of 1000 mixtures from reverberant rooms. The source sounds are various utterances from the VCTK dataset. For real world data, the utterances are played over a Rokono Bass+ Mini Speaker. The recordings are captured from an array of 7 microphones, as they are recorded by our robotic swarm as it is distributed across the table. The recorded audio in the real world has been subjected to audio compression and decompression using the Opus Codec to enable multiple simultaneous streams. You must download <strong>both</strong> the first and the second part of this dataset in order to use it properly. To uncompress the two datasets, download both and execute: ```cat *.tar.gz.* | tar xvfz -``` Please see the Readme for more information. Please see related identifiers for other datasets.
DOI: 10.6084/m9.figshare.23902359
title: Design of Participatory Process Democratic Quality Index, A Systematic Review - Dataset

description: This dataset contains the extracted data from a systematic literature review for the design of a participatory process democratic quality index, used in public policies. The systematic review followed the PRISMA guidelines and searched the Scopus and Web of Science databases for relevant studies published in English, French and Spanish from December 2022 to March 2023.After screening and eligibility assessment, 12 studies were included in the final review. Data was extracted on the evaluation dimensions identified as important for democratic quality.The extracted data is presented in two tables:Table 1 summarizes the key characteristics of the 12 studies including validation of methods, methodology, sample, scope and setting.Table 2 organizes the extracted data by dimension of democratic quality including representation, independence, phases of involvement, stakeholder influence, transparency, resources, task definition, structured decision-making, and cost-effectiveness. It also covers data on additional relevant dimensions like easy understanding of information, quality of deliberation and facilitation, and methods of evaluation.
DOI: 10.5281/zenodo.8222929
title: testing data repository111

description: testtesttest
DOI: 10.5281/zenodo.8222928
title: testing data repository111

description: testtesttest
DOI: 10.25912/rdf_1691450584432
title: International survey of the usage of Whole Building Life Cycle Assessment software
DOI: 10.5281/zenodo.7036322
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7052086
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7269069
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7343820
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7430398
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7460053
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7563099
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7703177
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7730821
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7776265
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7814752
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7860677
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7884580
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.7959607
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8008191
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrea Weeks, https://orcid.org/0000-0002-0000-4541. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.8223007
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gordon Eugene Hunter, http://www.wikidata.org/entity/Q121289445. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q121289445
DOI: 10.5281/zenodo.8223006
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gordon Eugene Hunter, http://www.wikidata.org/entity/Q121289445. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q121289445
DOI: 10.5519/qd.48d04z69
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (101 records)
DOI: 10.6084/m9.figshare.21365409
title: Smart Device Interest, Perceived Usefulness, and Preferences in Rural Alabama Seniors

description: Survey Seniors in Rural Alabama on their Interest in Smart Home devicesQ3-Q7 - Percevied usefulness and ease of use for smart lightsQ9-Q13-Percevied usefulness and ease of use for A/C or heatersQ15-Q18-Percevied usefulness and ease of use for smart electricutyy monitoringQ20-Q24-Percevied usefulness and ease of use for smart locksQ25-Q31 - Interaction via screens, voice, robots or conventional mechanismsQ32-Technilogical ReadinessQ33-Technology ownershipQ34-Technology experiencesQ35-BFI Personality InventoryQ36-39-Demographic Information
DOI: 10.25345/c53x83w72
title: MassIVE MSV000092614 - GNPS Chromatographic data of two chemotypes of lippia alba CDF
title: Chromatographic analysis of compounds produced by two lippia alba chemotypes
DOI: 10.18112/openneuro.ds004327.v1.0.2
title: Odor imagery but not perception drives risk for food cue reactivity and adiposity
DOI: 10.26183/sw56-z237
title: Understanding Women’s Experiences of Seeking Help for Vaginismus: Implications for their Constructions of Sense of Self dataset

description: This dataset contains qualitative interview data collected over zoom from Jan 2020 to May 2020. This data focusses on women's help seeking experiences for their vaginismus and the ways that it shapes their sense of self. There were 21 Australian participants interviewed. Audio files and transcripts are available. Transcripts have been de-identified and supplied with pseudonyms. 
This dataset contains sensitive data. To discuss the data please contact Rashmi Pithavadian at r.pithavadian@westernsydney.edu.au ORCID 0000-0002-7499-9393.
DOI: 10.26182/et7h-6k03
title: Supplement for: Epigenome-wide association study shows differential DNA methylation of MDC1, KLF9 and CUTA in autoimmune thyroid disease
DOI: 10.34740/kaggle/dsv/6266330
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.8088503
title: Supplemental materials

description: The file includes supplemental Table S1 and Figure S1.
DOI: 10.5281/zenodo.8088504
title: Supplementary Table S1

description: The file includes supplementary Table S1.
DOI: 10.5281/zenodo.8223050
title: Supplemental materials

description: The file includes supplemental Table S1 and Figure S1.
DOI: 10.6084/m9.figshare.22045280.v1
title: Data of Beigou section.xlsx

description: Mineral magnetic and geochemical data of Beigou loess section from the southern Hunshandake Sandy Land, Inner Mongolia.
DOI: 10.5517/ccdc.csd.cc2f7bjk
title: CCDC 2241378: Experimental Crystal Structure Determination

description: Related Article: Mohammed Enamullah, Imdadul Haque, Afsana Mim, Baldeep K. Sidhu, David E. Herbert, Dennis Woschko, Christoph Janiak|2023|J.Mol.Struct.|1292|136078|doi:10.1016/j.molstruc.2023.136078
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/skg3w6yxhc.1
title: Tomato bacterial wilt severity identification dataset

description: Hyperspectral dataset of tomato plants at different bacterial wilt levels. The hyperspectral images were acquired by using a Specim IQ camera (Specim Ltd., Oulu, Finland)
Tomato bacterial wilt severity was usually assessed by visual inspection of the percentage of wilted leaves. In this experiment, it was classified as: level 0, healthy; level 1, infected but no obvious symptoms of wilting; level 2, infected and 1-33% of leaves wilting; level 3, infected and 34-66% of leaves wilting; level 4, infected and 67-100% of leaves wilting. The infected tomato plants were artificially inoculated in the greenhouse.
Two hyperspectral images are given for each bacterial wilt level along with their corresponding RGB images.  In addition, the hyperspectral images are given in .tif format, which can be processed directly in matlab.
DOI: 10.17632/99yzs665b9.1
title: Research Data Collection Methodology: A Robust Framework for Responsible Data Generation

description: This research encompasses a broad range of complex multidisciplinary scientific topics spanning cryptography, genomics, computer science, statistics, ethics, law, and public policy. Rigorously addressing the challenges surrounding online identity systems requires drawing from these diverse domains and leveraging their interconnections.

Cryptographic methods provide mathematical assurances for securing sensitive biometric data like DNA fingerprints when used for identification purposes. Expertise in cryptography allows developing provably secure and privacy-enhancing protocols tailored to the constraints and risks surrounding identity information.

Knowledge of human genomics is essential for properly generating and validating simulated DNA fingerprinting data that captures the complexity of genetic biomarkers. Statistical genetics helps ensure fictional data models real-world biological properties to enable robust technology testing and analysis.

Sophisticated computer science capabilities underpin the creation of scalable platforms for identity verification that are accessible, ethical, and rights-preserving. Distributed systems, algorithm design, security engineering, and privacy-enhancing technologies are all salient to constructing such frameworks.

Forensic science contributes an evidentiary basis for using DNA fingerprinting to reliably link physical and digital identity. Translating forensic biometrics to online environments requires adapting statistical models while preserving scientific rigor.

Data science and analytics provide the mathematical tools to quantify uncertainty, optimize algorithms, identify vulnerabilities, and evaluate system performance in an identity context. Statistical proficiency is key for provable confidence.

Expertise in ethics helps align emerging innovations with principles of justice, morality, and wisdom. Multidisciplinary ethical analysis preempts abuse and focuses technology trajectories toward empowering human potential.

Understanding policy and legal dimensions allows structuring equitable governance models and advising sensible regulations that balance innovation, rights, access, and security.

Synthesizing these diverse disciplines enables holistically advancing the science surrounding digital identity and crafting solutions that serve society. This demands rigorous integrated mastery spanning multiple complex specialties.
DOI: 10.17632/k7tvzcjwyd.1
title: Survey Data on Consumer Attitudes towards Sustainable Apparel: An Investigation of the Theory of Planned Behavior Framework

description: The data obtained from this study will be effective in enhancing the understanding of consumer attitude towards environmentally friendly clothing and how these sentiments influence their shopping experience.
DOI: 10.17632/k7tvzcjwyd.2
title: Survey Data on Consumer Attitudes towards Sustainable Apparel: An Investigation of the TPB Framework

description: The data obtained from this study will be effective in enhancing the understanding of consumer attitude towards environmentally friendly clothing and how these sentiments influence their shopping experience.
DOI: 10.17632/sm66hkjvf4.1
title: DATASET - Risk Factor Prevalence in Handball Athletes with and without Overuse Injury History 

description: DATASET of the transversal study on the neuromuscular profile of handball athletes with and without overuse injury history.
DOI: 10.17632/v472w8sc3x.1
title: Tea farmer data & analysis

description: Tea farmer data & analysis
DOI: 10.17632/w952cwrz2j.1
title: Supplementary data Cutaneous tuberculosis

description: Supplementary data concerning manuscript "Cutaneous tuberculosis: a 24-year retrospective multicenter study in Paris, France"
DOI: 10.17632/bwxwx35yx4.1
title: A Systematic Review of Modeling Approaches for Flexible Energy Resources: Dataset

description: This dataset was generated during the data extraction for the literature review mentioned above.
DOI: 10.17632/bwxwx35yx4.2
title: A Systematic Review of Modeling Approaches for Flexible Energy Resources: Dataset

description: This dataset was generated during the data extraction for the literature review mentioned above.
DOI: 10.17632/gtx4534dtx.1
title: Dataset on endophytic bacterial communities of the cashew plant grown in Dak Lak, Vietnam

description: This work reports the 16S rRNA metagenomic dataset on endophytic bacterial communities in the cashew plant (Anacardium occidentale L.) grown in Dak Lak, Vietnam.
DOI: 10.17632/3nzj933ttx.1
title: codes & data of "The effect of market-motivated environmental regulation on corporate ESG performance: a quasi-natural experiment based on China's carbon emission trading scheme"

description: This file includes all data and codes of the paper "The effect of market-motivated environmental regulation on corporate ESG performance: a quasi-natural experiment based on China's carbon emission trading scheme".
DOI: 10.17632/5czndsmdmp.1
title: Environmental inequality in European NUTS regions

description: The dataset provides the population-weighted Gini coefficient and average of exposure to environmental hazards and services in European NUTS regions.
DOI: 10.17632/brg7pmdwmg.1
title: Near and Far side imaging using vibrothermography with multiple voltage.

description: LDV experiment is performed to find out the LDR frequency of defects (BVID/IVID) that are created using a low-velocity impactor. Then, Vibrothermography is performed with an uncooled camera to create images of the defects from the far and near sides of the plate. The visibility of defects is increasing with increasing voltage.
DOI: 10.17632/xbt9nhr454.1
title: LDV and Vibrothermgraphy experiments using forward and backward frequency sweep 

description: The out-plane LDR mode shape and amplitude variation have been studied in case of forward and backward sweep using laser Doppler
vibrometry. It was observed that the backward sweep generates a higher amplitude due to softening nonlinearity at the defect. The out-of-plane LDR frequency and shape of the defect estimated by laser Doppler vibrometry are found to be in agreement with LDR-based vibro-thermography results. Also, a backward sweep provides more temperature rise in all cases. Therefore, LDR-based vibro-thermography using a backward sweep is found to be the most efficient method for sizing impact damage in composites.
DOI: 10.17632/p3p3hyfmdw.1
title: Scoping review data - gamification in education

description: Mapped data from scoping review of games and gamification in autonomous learning.
DOI: 10.17632/sx3fkmfrwn.1
title: Cerebral kynurenic acid levels are increased by asphyxia but not by its putative neuroprotectant analogue SZR72 in a piglet model of hypoxic-ischemic encephalopathy

description: Targeted UHPLC-MS/HRMS raw data files.
DOI: 10.17632/gcrdw33hsd.1
title: Automated medicinal plant identification from leaf images

description: Here is the code for assessing the performance of the deep learning algorithm for the identification of medicinal plants.
DOI: 10.17632/gcrdw33hsd.2
title: Automated medicinal plant identification from leaf images

description: Here is the code for assessing the performance of the deep learning algorithm for the identification of medicinal plants.
DOI: 10.17632/xs53w94yst.1
title: Journal of Biomolecular Structure & Dynamics

description: Supplemental material
DOI: 10.17632/gcw965g795.1
title: World Waste Status

description: World Waste Status was a project organized by Let's Do It! in 2012 - 2013. It was aimed at collecting, analyzing, and visualizing data on the state of the waste issue in the world and its connection to climate change. The project was funded by the Ministry of Environment of Estonia.
The present dataset contains the following data up until the year 2012:
+ Comparative statistics of waste generation (total and per capita), composition, collection and treatment in practically every country of the world;
+ Generation of greenhouse gas (GHG) emissions from landfilled waste in each country according to the two most used models for GHG emissions estimation: IPCC and LandGEM;
+ Locations of waste management facilities (dumps, landfills, incinerators, recycling centers, etc.) in each country.
DOI: 10.17632/gcw965g795.2
title: World Waste Status

description: World Waste Status was a research and awareness-raising project implemented by the organization Let's Do It! and its Knowledge Team in 2012 - 2013. It was aimed at collecting, analyzing, and visualizing data on the state of the waste issue in the world and its connection to climate change. The project was funded by the Ministry of Environment of Estonia.

Key objectives of the World Waste Status project included:
1. Acquire the most recent data on the waste generation, accumulation, composition and management in all countries of the world;
2. Obtain the data on the characteristics of the major landfill sites and incinerators in each country: amount of waste there, its composition, sources, etc.;
3. Based on waste quantities estimate the amount of greenhouse gas (GHG) emissions (carbon dioxide and methane) generation in each country (including major landfills and incinerators) and their avoidance in case of moving towards the “zero waste world” vision (including assumptions about both legal and illegal landfills).

Thus, the World Waste Status dataset contains the following data up until the year 2012:
1. Comparative statistics of waste generation (per capita per day, total per day, per capita per year, total per year), composition (in % and in tones per year), collection and treatment (in % and in tones per year) in practically every country of the world;
2. Generation of greenhouse gas (GHG) emissions from landfilled waste in each country according to the two most used models for GHG emissions estimation: IPCC and LandGEM;
3. Locations of waste management facilities (open dumps, landfills, and waste incinerators) in each country.
DOI: 10.6084/m9.figshare.22045280
title: Data of Beigou section.xlsx

description: Mineral magnetic and geochemical data of Beigou loess section from the southern Hunshandake Sandy Land, Inner Mongolia.
DOI: 10.17632/nfvpcd9wpf.1
title: Trends in U.S. self-reported health and self-care behaviors during the COVID-19 pandemic

description: tbd