cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1054128.10fu
title: SH1054128.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054129.10fu
title: SH1054129.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054130.10fu
title: SH1054130.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054132.10fu
title: SH1054132.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1054133.10fu
title: SH1054133.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/mthhd5rx4w.1
title: Online Supplementary Material Anderle et al

description: Online Supplementary Material Case Report Anderle et al
DOI: 10.17632/ds64k8jjjy.1
title: Data for: Power quality and reactive power of water electrolyzers supplied with thyristor converters

description: Simulink model of the thyristor rectifier
DOI: 10.17632/g6j5t2z73z.2
title: Thermal Structure of the Middle and Upper Atmosphere of Mars from ACS/TGO CO2 Spectroscopy

description: This data set represents results from the middle infrared spectrometer of the Atmospheric Chemistry Suite (ACS MIR) operating on board ExoMars Trace Gas Orbiter in regime of solar occultation. The instrument measures altitude profiles of CO2 density and temperature in the atmosphere of Mars. Here we present the profiles measured during 1.5 Martian Years (MY), from the middle of MY 34 to the end of MY 35. This period correspond to ACS MIR observations from May 2018 to January 2021. The selected dataset comprises 306 occultation sessions in the Northern Hemisphere and 299 sessions in the Southern Hemisphere, encompassing seasonal periods of Solar longitude Ls=180°-355° in MY34 and Ls=0°-356° in MY35.

The current Version 1 is a preliminary data storage while the related paper is being under review.

Related paper:
Belyaev, D. A., et al. (2022). Thermal Structure of the Middle and Upper Atmosphere of Mars from ACS/TGO CO2 Spectroscopy. Open access at ESSOAr: doi:10.1002/essoar.10510820.2

For any detail or question mail to: dbelyaev@iki.rssi.ru (Dr. Denis Belyaev)
DOI: 10.17632/fg3r3gf7rj.1
title: PEth Testing False Positives

description: Experts assert that there is no such thing as a false positive DBS PEth test (Dry Blood Spot Phosphatidylethanol). PEth is a biomarker determining alcohol consumption and false positives have caused loss of life, careers, and custody battles. The PEth test is non-FDA approved blood test. The researcher hypothesized that a false positive was possible. The researcher abstained from alcohol for 30 days, then donated five blood samples, on the same day, at a USDTL lab. Each sample submitted provided a different name and number to avoid bias at the lab, but confirmation that all blood samples were from the same person as identified by the methodology of gathering the sample. Sample 1 was a whole blood PEth (WB) sample. Sample 2-5 were Dry Blood Spot PEth (DBS). Samples 1-3 that indicated there was no alcohol consumption, however, tests 4 and 5 indicated positive tests, associated with exessive alcohol consumption. In that all samples came from the same human on the same day within a five-hour period, and three of the five samples confirm no alcohol consumption, this indicates false positives do exist. The significance of this research is that people are unjustly losing their careers, child custody, and their lives if removed from a donor list, because of a false assertion of alcohol consumption.
DOI: 10.17632/6pd2xbjdx4.1
title: LeNaour_et_al_Data&Code

description: Original data and R code
DOI: 10.17632/dk68nhdvz4.1
title: Raw files behind the published paper 'The allergic response mediated by fire ant venom proteins' by Zamith & Fox et al.

description: The present dataset compiles raw data behind the published paper 'The allergic response mediated by fire ant venom proteins', published at provided links. We hereby emphasise on the importance of making raw data available to improve reproducibility and enable later reanalysis of precious experimental data. Mainly you will find: - *Raw Data and R scripts* behind the published manuscript - Original data files and preliminary analysis compiled by Daniel Zamith and Ana Paula Monteiro into PRISM software following experimental procedures as described (below, and see publication) carried out by aforementioned individuals plus Eduardo G P Fox. These include: (i) a failed (undiscussed) experiment carried out in September 2016 as an attempt to evaluate further relevant cytokines (e.g. IL5, ILgamma) in the same model but which provided inconsistent results; mainly the controls have apparently failed and we suspect labels got mixed up. We therefore did not include these data in our conclusions. - The first manuscript version prior to reformulation and comments by all co-authors and reviewers. - Finally as guidelines for future similar illustrations and for curious readers all scanned preliminary sketches behind the published allergy diagram are provided, empowering others to follow the same simple steps.
DOI: 10.17632/yvcwypp8rz.1
title: Papaya Diseases Dataset

description: The dataset consisting of 983 images of papaya fruit obtained from different markets. The images were categorized into six classes: anthracnose disease, Black Spot disease, Ring Spot disease, Phytophthora disease, Powdery Mildew disease, and healthy papaya.
Sl.No. Class of image set Number of images
1 Anthracnose disease 165
2 Black Spot disease 150
3 Ring Spot disease 266
4 Phytophthora disease 148
5 Powdery Mildew disease 155
6 Good papaya 99
DOI: 10.17632/kjzvzt8b7h.1
title: Dataset of the Delphi study on development of an expert consensus-based checklist for quality appraisal of educational resources on adult Basic Life Support

description: This dataset presents original data and supplementary materials for the international two-round Delphi study that was carried out in November-December 2022 to develop an expert consensus-based checklist for quality appraisal of educational resources on adult Basic Life Support.
The dataset contains:
1.	Blank questionnaire forms used for the first round and the second round of the Delphi survey (Dataset_Delphi 1st round Survey Form.xlsx and Dataset_Delphi 2nd round Survey Form.xlsx, respectively)
2.	Tabulated anonymised expert ratings and comments, calculated quantitative expert group results (each item median, lowest and highest ratings, percentage of experts who rated an item ≥7 points, percentage of experts who rated an item ≤3 points) for the first round and the second round of the Delphi survey (Dataset_Delphi 1st round Results.xlsx and Dataset_Delphi 2nd round Results.xlsx, respectively)
3.	A summary of results for the first round, that was sent to the participants before the second round (Dataset_Delphi 1st round Summary & 2nd round Instructions.pdf), and marked modifications made to the checklist based on the first round results (Dataset_Delphi 2nd round Survey Form.xlsx)
4.	The blank template of the produced checklist in its final layout (Dataset_Final Checklist Template.xlsx).
DOI: 10.17632/4t38hwzkzs.1
title: Representations of skin tone and sex in dermatology by generative artificial intelligence: a comparative study (Mendeley supplemental figure 1)

description: “Sample images of a) acne, b) atopic dermatitis, and c) rosacea that were generated using DALL-E 3 (Column 1), Midjourney (Column 2), and DreamStudio Beta (Column 3)”
DOI: 10.17632/k9sxg2twv4.4
title: FPT Open Speech Dataset (FOSD) - Vietnamese

description: This dataset consists of 25,921 recorded Vietnamese speeches (with their transcripts and the labelled start and end times of each speech) manually compiled from 3 sub-datasets (approximately 30 hours in total) released publicly in 2018 by FPT Corporation. The speeches are in *.mp3 format while the transcript file is in *.txt format with utf-8 encoding scheme. The dataset is useful for several speech-related research topics, including but not limited to text-to-speech, speech-to-text applications, gender detection, mood detection, intent detection, onset detection, signal-to-noise improvement, signal processing, speech processing, etc. Copyright 2018 FPT Corporation Permission is hereby granted, free of charge, non-exclusive, worldwide, irrevocable, to any person obtaining a copy of this data or software and associated documentation files (the “Data or Software”), to deal in the Data or Software without restriction, including without limitation the rights to use, copy, modify, remix, transform, merge, build upon, publish, distribute and redistribute, sublicense, and/or sell copies of the Data or Software, for any purpose, even commercially, and to permit persons to whom the Data or Software is furnished to do so, subject to the following conditions: The above copyright notice, and this permission notice, and indication of any modification to the Data or Software, shall be included in all copies or substantial portions of the Data or Software. THE DATA OR SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATA OR SOFTWARE OR THE USE OR OTHER DEALINGS IN THE DATA OR SOFTWARE. Patent and trademark rights are not licensed under this FPT Public License.
DOI: 10.17632/zyysdssxz2.2
title: Dataset of laboratory scale 3-axis filament winding machine integrated with the real-time winding angle measurement system and i-winder app

description: This data article presents three dataset’s results related to a laboratory scale 3-axis filament winding machine. The winding performance experimental tests are described in raw data related to winding angle pattern, range, accuracy programmed winding G-codes, and linear and rotation speeds. The real-time winding angle measurement device is developed to detect and measure the winding angle of filament wound carbon-fiber reinforced plastics (CFRP) tube, which uses dry and wet winding processes. The real-time measurement experimental tests are described as visual captured images. The i-winder app is designed to operate the winding machine with Bluetooth transmission protocols, which MIT App Inventor uses. The data presented in this article can have a benchmark for developing a multi-axis portable filament winding machine with an inexpensive and open-source control system or embedding the real-time winding angle measurement system.
DOI: 10.17632/mtz747tc43.1
title: Healthy Tomato Image Dataset

description: This is a high quality color image dataset of healthy tomatoes in the context of Bangladesh. This dataset can be a valuable resource for computer and agricultural researchers. It can be used to detect and predict various tomato diseases and for quality grading, sorting and crop monitoring. In addition to this, the dataset can serve as a valuable training ground for object detection, classification, image segmentation and analysis, and developing deep learning models.
DOI: 10.17632/j4xs3kh3fd.2
title: HERMOS: An Annotated Image Dataset for Visual Detection of Grape Leaf Diseases

description: Vineyard powdery mildew (Uncinula necator), dead arm (Phomopsis viticola) and vineyard downy mildew (Plasmopara viticola) diseases are frequently seen in the vineyards in the Gediz River Basin, West Anatolia of Turkey and cause significant damage to the crop. These diseases can be detected early using artificial intelligence-based systems that can contribute to crop yields and also reduce the labor of the farmer and the amount of pesticides used. This article presents a dataset, for use in such AI-based systems. The dataset, namely Hermos, contains four classes of grapevine images; leaves with dead root, leaves with powdery mildew, leaves with downy mildew and healthy leaves. 
Diseased areas on the leaf pictures were labeled with the "bounding-box" method. The dataset contains a total of 914 images and 13,904 labels. Labels on the picture are stored in Pascal VOC format in an xml document with the same file name as the picture.
DOI: 10.17632/yfkwrd4d5t.1
title: Package-X 2.0: A Mathematica package for the analytic calculation of one-loop integrals

description: This article summarizes new features and enhancements of the first major update of Package-X. Package-X 2.0 can now generate analytic expressions for arbitrarily high rank dimensionally regulated tensor integrals with up to four distinct propagators, each with arbitrary integer weight, near an arbitrary even number of spacetime dimensions, giving UV divergent, IR divergent, and finite parts at (almost) any real-valued kinematic point. Additionally, it can generate multivariable Taylor series expansions of these integrals around any non-singular kinematic point to arbitrary order. All special functions and abbreviations output by Package-X 2.0 supports Mathematica’s arbitrary precision evaluation capabilities to deal with issues of numerical stability. Finally, tensor algebraic routines of Package-X have been polished and extended to support open fermion chains both on and off shell. The documentation (equivalent to over 100 printed pages) is accessed through Mathematica’s Wolfram Documentation Center and contains information on all Package-X symbols, with over 300 basic usage examples, 3 project-scale tutorials, and instructions on linking to FeynCalc and LoopTools. The previous version of this program (AEXT_v1_0) may be found at http://dx.doi.org/10.1016/j.cpc.2015.08.017.
DOI: 10.17632/xxbwx3wgbf.1
title: Data of Emotional Responses to Visual Stimuli in Mexico

description: The data file includes the valence and arousal values per image. The next descriptive data per image: Arithmetic mean of valence, Valence standard deviation, Arithmetic mean of valence in women, Arithmetic mean of valence in men, Arithmetic mean of activation, Activation standard deviation, Arithmetic mean of activation in women and Arithmetic mean of activation in men. Also, the number of participants before and after the POMS filter. PARTICIPANTS Participants were recruited through an online study web application and provided informed consent. No compensation was offered for their participation. The National Council of Humanities, Science and Technology (CONAHCyT) fellowship network of Mexico was utilized to distribute invitations for the online study. To ensure spatial diversity in our sample, we adopted an unbiased sampling approach, as recommended by Wang. This method involved random selection from the population within the CONAHCyT fellowship network of Mexico. CROSS-CULTURAL ANALYSIS OF EMOTIONAL RESPONSES 6 A total of 1540 adult participants, including university students pursuing bachelor’s, master’s, and doctoral degrees, as well as academic staff, took part in the study. Of the participants, 64.9% were male, and 35.1% were female. The distribution of participants across different states of Mexico is detailed in Table 1. MATERIALS Mood Disturbance Filter To minimize the potential influence of mood disturbances on our results, we implemented a mood filter. Participants exhibiting high mood disturbance were excluded from the analysis. This filter relied on the Profile Of Mood States (POMS) Questionnaire, specifically, a brief Spanish version of the research. There are six factors and their associated parameters, rated on a five-point Likert scoring system. ANGER: Angry Grumpy Irritable Upset Resentful FATIGUE: Exhausted Tired Weary Weak Exhausted VIGOR: Full of energy Energetic Active Animated Vigorous FRIENDLINESS: Kind Comprehensive Helpful Friendly Considered TENSION: Frayed nerves Nervous Uptight Agitated DEPRESSED: Unhappy Sad Hopeless Alone Melancholic IAPS Images The visual stimuli were drawn from the International Affective Picture System (IAPS) database. A key strength of this study lies in the size of the sample per image. We selected a total of 60 IAPS images, categorized as follows: 15 highly positive, 15 positive, 15 negative, and 15 highly negative. Self-Assessment Manikin The Self-Assessment Manikin (SAM) was used as the pictorial instrument to assess the IAPS images. SAM allowed us to measure the dimensions of valence, arousal, and dominance. Specifically: Affective valence, associated with pleasure, hedonism, or valence (SAM-Val), was rated on a scale ranging from a smiling figure (max. score of 9) to an unhappy one (min. score of 1). Arousal, reflecting activation or excitement (SAM-Act), was evaluated on a scale from a figure with open eyes (max. score of 9) to a very relaxed one (min. score of 1).
DOI: 10.17632/b4cg3kyygs.1
title: Building a Diverse Text-to-Image Generation Dataset

description: In the field of generative artificial intelligence, text-to-image generation makes the tremendous advancements necessary to solve many real-world problems. Data is the key attribute for the model to produce efficient results. This dataset was collected for text-to-image generation research purposes, aiming to train models to generate images based on textual descriptions. It comprises images of 11 classes, with multiple images representing each class. This diverse dataset enables the fine-tuning of text-to-image generation models, enhancing their performance. The collected images are mainly focused on Indian scenarios.
DOI: 10.17632/7dh4njvv98.1
title: Immunotherapy Access - Supplement final

description: Supplemental file for manuscript entitled "Geographic disparities in access to immunotherapy clinical trials for metastatic melanoma"
DOI: 10.17632/yzd96xjfsx.1
title: Th2 response drives itch in dystrophic epidermolysis bullosa pruriginosa: a case-control study_supplemental

description: Supplemental methods, results and figures for paper entitled 'Th2 response drives itch in dystrophic epidermolysis bullosa pruriginosa: a case-control study'