cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0035604.10fu
title: SH0035604.10FU

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/sh0035605.10fu
title: SH0035605.10FU

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/sh0035606.10fu
title: SH0035606.10FU

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/sh0035607.10fu
title: SH0035607.10FU

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/sh0035608.10fu
title: SH0035608.10FU

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/sh0035609.10fu
title: SH0035609.10FU

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/sh0035610.10fu
title: SH0035610.10FU

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: 10.15468/dl.x2bhxv
title: Occurrence Download

description: A dataset containing 30493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycaena virgaureae",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 30493 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075374-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w9594tjkwp.2
title: A simple dataset of Water pressure and flow rate in a drip irrigation system based on internet of things measuring tools

description: The dataset contains multiple metrics related to the water distribution system in drip irrigation systems, such as pressure and water flow rate. The dataset contains two types of water pressure data: Pressure 1, which represents the water pressure in the upstream part, and Pressure 2, which represents the water pressure in the downstream segment. Data was collected over a span of 5 hours, specifically on May 24, 2024. The data is offered in two distinct formats: raw and filtered. This data can be utilised by researchers, students, and farmers to do additional analysis and provide novel insights.
DOI: 10.17632/z93gzbptf7.1
title: PV Panel: Irradiance, Temperature, Partial Shading - IV Curves

description: The datasets contain data points of various I-V curves of a  PV panel - which is subjected to uniform irradiance as well as partially shaded conditions - that are obtained by varying irradiance and temperature.
From these I-V curves, the important points such as Vmp,Imp; Voc; Isc are extracted and consolidated in a separate file for uniform irradiance and partially-shaded condition.
DOI: 10.17632/924cfprrwr.3
title: Mono Temporal Disaster City 3D Dataset (C3DO)

description: C3DO is a 3D point cloud reconstruction of concrete buildings, with an emphasis on damaged façades. It was generated by reconstructing a 4.5-acre region in the Disaster City® facility using a Terrestrial Laser Scanner system. This dataset consists of a total of 376,006,839 points that were captured with a precision of 5 significant digits (up to 10-5 m). XYZ coordinates of each point including the corresponding RBG value to represent the texture are published in the “C3DO.txt” file. Individual panels in the dataset are manually delineated and points are rounded to 10-3 m, followed by the deletion of duplicate points. XYZ coordinate data are saved based on the panel ID in the sub-directories with a name corresponding to the building they are mounted on. They are presented in the “CompletePanels” sub-directory of the “PanelsXYZ” directory. Following this, individual points in the sampled panels are labeled as either damaged or undamaged. Data annotations are performed manually by visual interpretation. The damaged points are shared based on the panel ID in the “DamagedPoints” subdirectory of the “PanelsXYZ” directory.
DOI: 10.17632/ggyfxz9ky8.2
title: Database of the Manuscript: Depressive symptoms and affective disorders during pregnancy in women from low socioeconomic level in Argentina

description: One dataset is shared. The data file named “Database Depressive symptoms” contains the maternal characteristics and outcomes variables and it is structured with one record per woman. The data includes variables that were constructed in order to run the analysis. The data dictionary of the database is also included and named “Data Dictionary Depressive symptoms”.
DOI: 10.15468/dl.3u2bxx
title: Occurrence Download

description: A dataset containing 1051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus angustifolia E.James",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1051 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009285-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v7835v72tr
title: Suppl. Fig 1. Potential relationship of diet with rich GI/GL content and low antioxidant capacity with metabolic syndrome and oxidative stress in SD.

description: Article title: Investigating the role of dietary glycemic factors and antioxidant capacity, metabolic status, and oxidative stress in seborrheic dermatitis: A case-control study
Suppl. Fig 1. Potential relationship of diet with rich GI/GL content and low antioxidant capacity with metabolic syndrome and oxidative stress in SD.
DOI: 10.17632/xr8fw85n65.1
title: Skin Diseases and Skin Cancer Recognition Dataset

description: • Skin diseases encompass a broad spectrum of conditions affecting the largest organ of the human body, ranging from common dermatological issues to more severe and potentially life-threatening disorders. Skin cancers, a subset of skin diseases, specifically involve the abnormal and uncontrolled growth of skin cells, often triggered by exposure to ultraviolet (UV) radiation, genetic factors, or environmental influences. Skin cancers, including melanoma, basal cell carcinoma, and squamous cell carcinoma, pose a significant health concern globally due to their prevalence and potential for metastasis. On the other hand, non-cancerous skin diseases, such as eczema, psoriasis, and acne, impact millions, affecting quality of life and sometimes leading to complications if left untreated. Research in this field is vital for understanding the complexities of skin diseases and cancers, developing effective detection methods, advancing treatment options, and ultimately improving outcomes for individuals affected by these conditions. • Early detection, accurate diagnosis, and targeted interventions are key elements in the ongoing efforts to mitigate the impact of skin diseases and cancers on public health. • In recent times, computer vision has shown great promise in conducting the classification and identification tasks of this kind. • Fifty seven distinct kinds of skin diseases and skin cancer are shown in this large dataset, which can be used to develop machine vision-based techniques. • In this dataset, there are 978 (primary source 90, secondary source 888) original images of skin diseases and skin cancer. Then, in order to increase the number of data points, shifting, flipping, zooming, shearing, brightness enhancement, and rotation techniques are used to create a total of 630 augmented images from these original images (primary source).
DOI: 10.17632/zc2jz2vtr5.1
title: Mendeley Supplemental Figures: The molecular anatomy of mouse skin during hair growth and rest
DOI: 10.15468/dl.3cj6pm
title: Occurrence Download

description: A dataset containing 4909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erysiphe cichoracearum DC."
 ]
}

 The dataset includes 4909 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009286-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wb6yvr725d.1
title: A semi-simulated EEG/EOG dataset for the comparison of EOG artifact rejection techniques

description: This work presents a semi-simulated EEG dataset, where artifact-free EEG signals are manually contaminated with ocular artifacts following the model proposed by [1]. The significant part of this dataset is that it contains the pre-contamination EEG signals, so the brain signals underlying the EOG artifacts are known and thus the performance of every artifact rejection technique can be objectively assessed. The main differences of the proposed dataset compared to others (p.e. see [2,3]) is that it is focused only on EOG artifacts, using a realistic model for the contamination of artifact-free EEGs and not a random procedure. [1] T. Elbert, W. Lutzenberger, B. Rockstroh, N. Birbaumer, Removal of ocular artifacts from the EEG--a biophysical approach to the EOG., Electroencephalogr. Clin. Neurophysiol. 60 (1985) 455–63. http://www.ncbi.nlm.nih.gov/pubmed/2580697 (accessed April 10, 2013). [2] X. Yong, M. Fatourechi, R.K. Ward, G.E. Birch, Automatic artefact removal in a self-paced hybrid brain- computer interface system, J. Neuroeng. Rehabil. 9 (2012) 50. doi:10.1186/1743-0003-9-50. [3] A.K. Abdullah, C.Z. Zhang, A.A.A. Abdullah, S. Lian, Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm, Math. Probl. Eng. 2014 (2014) 1–25. doi:10.1155/2014/324750.
DOI: 10.17632/s6zh89fb5c.2
title: The roadless map of Greece

description: Scientific context
Roadless land conservation is a measurable tool to preserve the nature of high ecological integrity, hamper fragmentation, and address biodiversity decline (Ibisch et al. 2016; Kati et al. 2020). Greece has introduced a roadless legislation to this aim (BCL 2022; Kati et al. 2022) but risks rapid habitat loss from RES deployment (Kati et al. 2021). Biodiversity-inclusive spatial planning is needed, and roadless maps can be valuable tools for this aim under the Global and European Biodiversity Strategy.

Description
The dataset is the roadless map of Greece (5/2022), updating a previous work (Kati et al. 2020). Definitions:  Roadless Core Area (RCA) is any land patch (excluding large waterbodies) that has a size greater than 1 km2 and lies at least 1 km away from the nearest road (accessible by motor vehicles, excluding paths). Roadless Area (RA) is the RCA and its 1 km buffer zone. Roadless Island (RI) and Roadless islet (Ri) are any non-artificial islands that are road-free in all their area, with a size above and below 1 km2, respectively. Roadless Fragmentation Indicator (RFI) is the percentage of RAs plus RIs of the Greek territory. Content: The dataset includes high-confidence data and consists of four sub-databases in kmz format: (a) 389 RCAs (different colors indicate five different size categories: 1-5, 5-10, 10-20,20-50 and >50 km2, (b) 389 RAs (including the RCAs), (c) 62 RI and (d) 3,456 Ris. Nota: The RFI is 6.1%. Most of the roadless sites had a size of over 1,000ha, lying in mountains and islands.

Significance, use, limitations
We recommend using the database to: 
•	Expand the Greek roadless legislation to roadless sites of at least 1,000ha.
•	Include roadless sites in the strictly protected zones of the national network of protected areas (EC 2020).
•	Identify new areas for expanding and connecting the network of protected areas (EC 2020).
•	Define exclusion zones for new infrastructure development across sectors (SEAs) for Renewable Energy Sources, transport, tourism, industry, etc. 
•	Update the SEBI 13 indicator (EEA 2012) and monitor fragmentation in Greece in more natural ecosystems (RFI) 
•	Trigger policies toward landscape conservation and fragmentation minimization (CoE 2000; EC 2020).
•	Identify wilderness areas of Greece and map old-growth forests

Funding
Green Fund of Greece: program “Natural environment and innovative environmental actions 2021”.

References
BCL 2022. https://bc.lab.uoi.gr/en/research/projects/roadless/
CoE 2000. https://www.coe.int/en/web/conventions/full-list/-/conventions/treaty/176 
EC 2020. https://ec.europa.eu/info/files/communication-eu-biodiversity-strategy-2030-bringing-nature-back-our-lives_en 
EEA 2012. https://www.eea.europa.eu/publications/streamlining-european-biodiversity-indicators-2020 
Ibisch et al. 2016. http://doi.org/10.1126/science.aaf7166 
Kati et al. 2020. https://doi.org/10.3390/d12040124 
Kati et al. 2022. https://doi.org/10.1126/science.abo2014
DOI: 10.17632/236bd4cjmk.2
title: SDN-TCP-SYN ATTACK-DDOS DATASET

description: The dataset has been created by simulating TCP-SYN Flood DDOS attack using Mininet emulator in SDN Environment. 
The Dataset contains 84 columns and 6,234 rows.
DOI: 10.17632/64y2278mzd.1
title: Data for: Disaster Prevention through a harmonized Framework for High Reliability Organisations

description: The questionnaire template is a copy of the questionnaire from which the online survey instrument was extracted. The questionnaire summary is a summary of all the responses obtained by this research.
DOI: 10.17632/8sw4d8xtsx.1
title: dataset-Addressing Maximization Bias in Adaptive Differential Evolution

description: This data set reports the result of proposed Double Q-learning inspired Differential Evolution Algorithm on the CEC 2021 benchmark test suite. The CEC 2021 benchmark test suite contains 10 benchmark problems of 10 and 20 dimensions with five different parametric configurations, offering a total of 100 problem instances. Ten result tables A1-A10 report the mean and best values of each function on each parametric configuration. The obtained results are compared with other state-of-the-art adaptive DE variants to compare the performance of the proposed DQLiDE algorithm.
DOI: 10.17632/2kmwwt5462.1
title: Revisión sistemática hallazgos bucales

description: Artículos incluidos en la revisión sistemática hallazgos bucales en pacientes en unidad de cuidado intensivo.
DOI: 10.17632/n78tkm784n.1
title: Electrochemical impedance spectroscopy (EIS) data of a solid oxide electrolysis (SOEC) stack operated under different operating conditions

description: This dataset consists of a series of EIS data recorded from a cell within a ten-layer SOEC stack operated under 100 different operating conditions.
DOI: 10.17632/42djnzsw8f.2
title: Out of Debt, Out of Burden: The Physical Burdens of Debt

description: The data and materials for the manuscript "Out of Debt, Out of Burden: The Physical Burdens of Debt".
DOI: 10.17632/6zsnhrds9t.1
title: Teeth or Dental image dataset

description: This dataset presents a comprehensive collection of 9,562 images of noncarious teeth from the maxillary and mandibular arches in different views from children aged 1 to 14 years of age. The views primarily taken are maxillary/ upper front, right, left and occlusal views and mandibular/ lower front, right, left and occlusal views. There are 8 subcategories in all, which contain images captured under controlled conditions and uploaded to the Mendeley repository. Given the focus on dental assessment and machine learning, this dataset likely includes categories relevant to both a dentist's examination and the data that a computer vision model would need to analyze machine learning algorithms. This could enable the clinician to assess patients with respect to dental problems at a faster rate and even remotely.
DOI: 10.17632/k363z3kp3x.1
title: 5D histogram package NORA

description: The presented software package is an advanced analogue of the famous HBOOK and, in part, ROOT packages. The main features of the package are as follows.

Standard operations (accumulation, simulation, transformation) are extended up to 5D objects.

A new type of transformations of objects has been introduced, the x-transformation, which includes convolution of distributions.

Objects are accessed mainly by alphabetical name.

The formation of the object space is carried out using a data file, where the user can choose the form of setting attributes.

Automatic adjustment of object attributes is possible (only the number of channels is set).

The number of channels for each of the axes of the object is unlimited.

Operations between two objects (addition, subtraction, etc.) are possible with mismatched attributes.

Data output is carried out in two forms, for graphics and for fit.

Group operations are provided for visualization, outputting files for graphics.

All programmes are written in FORTRAN-90.

The investigation has been performed at the Veksler and Baldin Laboratory of High Energy Physics, JINR.
DOI: 10.17632/94jg7jkt6n.1
title: doi: 10.17632/j6fmfjrc5y.1

description: raw data