cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3fn2m6sj9x.1
title: Iranian-Turkish economic relations 1978-1979 In the documents of the US Embassy in Tehran

description: The Iranian-Turkish relations are among the very sensitive and important historical-political issues. Both countries had played an important and pivotal role since previous centuries, specifically since the fourteenth century, after the establishment of the Safavid state and the beginning of sectarian conflicts between the two parts of the Islamic world (the Iranians and the Ottomans), and developed These relations are sometimes negative, other times positive, until they reached what they reached during the days of the Pahlavi family government and after a few days following the outbreak of the Iranian Islamic Revolution in February 1979 AD
Our research is about shedding light on the nature of economic dealings and relations between Iran and Turkey, starting from the middle of 1978 to the middle of the year 1979 AD. We have found it important to shed light on these very important documents and to show what they contain of very important historical information about the relations between the two countries, Iran and Turkey .
We relied on the Persian version and the translated version to reveal the locations of these important documents, and we found only slight and simple changes between both versions
DOI: 10.17632/358bfdjvwg.3
title: Atomic Mass – Energy-Primary Colour

description: Lot of out of text question arise in childhood mind during study in between different problems. Like – E=mc2 ; then ,what is the relation of E (energy) with “c2”? Different food item, Bettery;etc. have energy; in which “c2 or,the reation of the speed of ligft with it , or,why the orbit of electron of an Atom is like this etc. 

The calculations or, formulae which have shown in this is based on Every element are created from the collaboration of different energy. This energy known as heat energy, magnetic energy , light energy etc.

            Since then, many more articles have been published in data format in support of this article and in a (strongly) scientifically sound manner, arguing that the quantum numbers used in this article and all the other mathematical calculations used in this article are not unreasonable or unrealistic. Where we can find out many unknown facts of science by placing the calculations obtained in my article in place of different numbers or units used in modern science. 
E.g, As in all these articles, the source of Pi has been obtained in different ways or the sources of numbers like 22, 7, 9, etc., so if we put the calculation of 22 and  7 sources in place of Pi, we will understand why Pi has been used as mentioned. Or what is the secret of Pi.  So I request all the readers to read every article written by me. 
All of these articles can be found by searching Google or Mendeley  Data. 
There are also many well-known organizations and social media (like Google - Blog, Twitter, Facebook, etc)   around the world who are relentlessly striving to advance science, exploring every article I write.
 Explore at ‘narcis.nl, easy.dans.knaw.nl,  mendeley.figshare.com,  datacite.com,  commons datacite.com, datasetsearch.research.google.com, semanticscholar.org, b2find.eudat.eu, etc.
DOI: 10.17632/5sc7njfcyn.1
title: Nation-wide open soil property maps of up to 100 cm depth for Sri Lanka

description: The first ever national level digital soil database of Sri Lanka. This dataset contains interpolated maps for 9 soil properties; pH, bulk density (gcm-3), cation exchange capacity (cmol+ kg–1), organic carbon content (%), volumetric moisture content (VMC) at 0.33 bars level (drainage upper limit – mm mm-1), VMC at 15 bars level (wilting point – mm mm-1), clay (%), sand (%) and silt content (%). The data are available at 5 different depths as 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm and 60-100 cm. Observed data from 122 locations that were distributed throughout the country were used for interpolation mapping. The choice of interpolation method can generate different results, therefore several interpolation methods were used in the interpolation process. The least Root Mean Square Error (RMSE), through the process of cross-validation or leaving-one-out of determined the final method used for mapping each property. For sand, silt and clay, the Radial Basis Function interpolation was used while all other properties were interpolated using the Empirical Bayesian Kriging method. The resolution of the interpolation maps is approximately 1 km. Other than the soil properties, standard error maps of respective properties were also made available. It can be used to explain the variation of the final results of simulation models. The dataset is mainly designed for process-based crop models, but it can be used for any soil-related studies in Sri Lanka.
DOI: 10.17632/v62t9z83xb.1
title: Date for: Individuals of higher social class engage in other-oriented and adaptive humor

description: data
DOI: 10.17632/t8j8v4hnm4.1
title: Raw Data: Multimodal Dataset of Freezing of Gait in Parkinson's Disease

description: Freezing of gaits (FOG), a debilitating transitory inability to pursue moving, is one of the severest symptoms of Parkinson's disease (PD). An accurate and reliable detection or prediction of FOG is of great significance for PD patients' assessment and rehabilitation. It is difficult to detect FOG with sufficient low-latency and high precision based on single sensor information. In order to improve the detection accuracy and facilitate further research, we gathered and presented a new multimodal dataset by combining rich physical and physiological sensor information. The multimodal data, including electroencephalogram (EEG), electromyogram (EMG), electrocardiogram (ECG), skin conductance (SC), and acceleration (ACC) in walking tasks, were collected using a high-quality hardware system integrated commercial and self-designed sensors. A standard experimental procedure was carefully designed to induce FOG in hospital surroundings. A total number of 12 PD patients completed the experiments and produced a total length of 3 hours and 42 minutes valid data. The FOG episodes in the multimodal data were labeled by two qualified physicians. The multimodal data can be used to efficiently discriminant FOG from normal locomotion, and indicated that changes in the multimodal motional and electrophysiological signals during FOG episodes could be used to guide PD patients' treatment and recovery.
DOI: 10.17632/k49x47v732.1
title: Indian Coin Currency Dataset

description: Currency recognition and classification is one essential task to do. Both paper and coin currency play important role in transactions in everyday life. But provided there are many datasets available for paper currency, and very less datasets are available for coin currency.  Coin currency recognition becomes important because even though the amount for which people do coin transactions is small but inaccuracy in recognition can lead to huge loss. Following are the objectives to create this dataset:

·        Create a dataset of old and new Indian coin currency.

·        Dataset of good quality images with properly fixed dimensions of 256*256 pixels.

·        Dataset is in two formats, Yolo and PASCAL(VOC).

This image dataset consists of 1907 images, having 4 classes: Re 1 coin, Rs 2 coins, Rs 5 coins, and Rs 10 coins. The images were taken by the mobile phone’s rear camera. They were taken under different conditions like light differences, and different backgrounds, also each class has a different type of coin, for example, a 1re coin has 3 types of different coins based on its design and structure.
DOI: 10.17632/mdrwctxxj2.1
title: Лексические особенности гватемальского национального варианта современного испанского языка

description: The article highlights the unique lexical characteristics of Guatemalan Spanish. Despite Spanish being widespread in Latin America, the Guatemalan variant is under-researched. The article discusses the historical spread of Spanish in Guatemala since the 16th century, the influence of indigenous languages like Nahuatl, and the development of a distinct Guatemalan lexicon. It categorizes the vocabulary into panhispanisms, hispanoamericanisms, regionalisms, and localisms, emphasizing the semantic, phonetic, and grammatical differences. The work also explores the integration of indigenous terms and the influence of English on Guatemalan slang, underlining the dynamic nature of the language variant.
DOI: 10.17632/5hcdd3tdvb.1
title: Ball Bearing Vibration, and Temperature Run-to-Failure Dataset

description: This data includes vibration data according to the time from when the bearing is normal to when it is failed.

The bearing was rotated at a constant speed of 3600 RPM until bearing failure (operated for 5 minutes, and operated for 15 minutes with rest). The accelerated bearing life test was terminated when the bearing temperature exceeded 85 °C (Celsius) and the vibration value exceeded 9 mm/s^2.

For the accelerated life test, an axial load of 300 kg (2.94 kN) and a vertical load of 600 kg (5.88 kN) were applied to the ball bearing.

Due to capacity issues, data were extracted and published at hourly intervals.

* Experiment Details
Operating period: 2022.06.20 17:00 ~ 2022.06.26 01:00 (128 hours)
Rotating speed: 3600 RPM
Kinds of acquired data: vibration (x-axis), vibration (y-axis), temperature (bearing), temperature (Atmospheric)
Axial load of 300 kg: (2.94 kN) 
Vertical load of 600 kg: (5.88 kN)



* Ball Bearing specifications
Model: NSK 6205 Ball Bearing (steel-sealing)
Inside diameter: 25mm
Outside diameter: 52 mm
Width: 15 mm
Cage type: Steel
Maximum Rotational Speed: 13000 RPM
Basic dynamic load rating: 1509 kg (14.8 kN)
Basic static load rating: 795 kg (7.8 kN)
DOI: 10.17632/sss89tjddy.1
title: Pesplanus Dataset

description: Pes planus, colloquially known as flatfoot, is a deformity defined as the collapse, flattening, or loss of the medial longitudinal arch of the foot. The weight-bearing lateral X-ray image of the foot provides functional information for diagnosing pes planus and it is the gold standard method due to its short acquisition time, cost-effective, and low radiation dose. Therefore, in this study, we collected the weight-bearing X-ray images for automated pes planus detection. We retrospectively analyzed weight-bearing X-ray images of patients admitted to the Radiology Department of Elazığ Fethi Sekin City Hospital for routine pre-military health screening or suspected flatfoot and collected a new pes planus dataset consisting of X-ray images of 439 patients aged 14–47 years. These images are stored as .JPG images. Patients with a known neurological disorder, acute orthopedic trauma, or previous orthopedic lower extremity surgery were not included in this study. Images were collected after approval from the ethics committee of Fırat University, Turkey. All images were acquired with Philips, dual detector digital X-ray (65 kV, 6.3 mAs). In the collected pes planus dataset, X-ray images of 18 patients with low quality and resolution were discarded. 842 X-ray images of the remaining 421 patients were labeled by two specialist radiologists by measuring the calcaneal inclination angle. A third specialist radiologist performed the post-labeling by re-examining the conflicting examples. In the labeling process, patients with a calcaneal angle below 18 degrees were assigned to the pes planus class, and patients 18 degrees and above were assigned to the normal class. At the end of the labeling process, 440 of the 842 X-ray images were assigned to the normal class and 402 to the pes planus class.

Citation:
Gül, Y., Yaman, S., Avcı, D., Çilengir, A. H., Balaban, M., & Güler, H. (2023). A Novel Deep Transfer Learning-Based Approach for Automated Pes Planus Diagnosis Using X-ray Image. Diagnostics, 13(9), 1662.
DOI: 10.17632/tdbm9dgw9r.1
title: Dataset on plot inventories of species diversity and structural parameters of natural and rehabilitated mangrove forest in the Trat Province of Thailand

description: The data presented here is the original data that relates to the research article “A history of the rehabilitation of mangroves and an assessment of their diversity and structure using Landsat annual composites (1987-2019) and transect plot inventories” [1]. The data is presented as a single .xlsx file, with the title “DataTrat2019”. The data sheet contains parameters of indigenous and rehabilitated mangrove forest that includes plot number, province (location), forest type, species, number of trees in each plot, abbreviations (as used in article [1] for the name of the species), branches, mean girth at breast height, mean height per species, number of seedlings per plot, and age (only applicable for rehabilitated mangroves).
DOI: 10.17632/mndb4h87yg.1
title: PHYTOPK28-D1D2: A curated database of 28S rRNA gene D1-D2 domains from eukaryotic organisms dedicated to metabarcoding analyses of marine phytoplankton samples

description: The PHYTOPK28-D1D2 database comprises accession numbers, taxonomic classification and 28S rDNA (D1-D2 domains) sequences that are available in public DNA databases. The sequences, listed in FASTA format, are identified by the accession number and the hierarchical taxonomy information. The PHYTOPK28-D1D2 database was built for the taxonomic annotation of DNA metabarcodes generated from water samples collected in six French Mediterranean lagoons, once a month between May and September/October 2012, and fractionated by size (three size ranges: 0.7-5 µm, 5-20 µm and 20-100 µm). This metabarcode dataset was deposited in the European Nucleotide Archive under the accession number PRJEB18757. The PHYTOPK28-D1D2 database was started with an initial dataset that was retrieved on the April 19, 2013 from the ribosomal DNA database SILVA. Further sequences were added by extensive BLAST searches in the NCBI/GenBank nucleotide database by targeting the main taxonomic divisions among eukaryotic, marine or freshwater, algal and plankton lineages, and excluding environmental sequences. The hereby first version of the database assembled by the end of June 2015, PHYTOPK28-D1D2_v1, reached 8,753 reference sequences, including more than 3,600 from algal/phytoplanktonic lineages (Chlorophyta, Cryptophyta, Dinophyceae, Haptophyceae, Stramenopiles, Rhodophyta, Euglenozoa, Rhizaria, Glaucocystophyceae) and ~700 from microzooplankton (including ciliates, rotifers, copepods) when it was used for computing the annotation of the metabarcode library. It is not claimed that this PHYTOPK28-D1D2 database is exhaustive with respect to its purpose. It is not warranted that the database does not contain overlooked identification errors from undetected errors originating from the deposition in public databases or from missed literature reporting taxonomic changes. The database can also lack recently released data at the time of use in June 2015. It is intended to further enrich the database by adding new–mostly recently released–sequence accessions and to make a new database version available from time to time. Anyone interested in receiving a recently updated database can contact the first author (DG). Any information reporting errors, omissions or recently released sequences would also be welcome to help in this updating effort. It would be interesting to make this database become richer by adding more information on reference sequences, for example by linking the accession numbers to GenBank database information, by adding and linking to the article reference related to the sequence submission (an information that is not always updated in the public DNA databases) and eventually, the subsequent literature references leading to changes in the taxonomic name or in the classification of organisms.
DOI: 10.17632/vkgw6gg8v3.1
title: Data and code for image-based load estimation in RC beams and slabs

description: The data, codes and processing tools used to develop image-based load estimation and classification models for RC beams and slabs. The data was collected from 17 previously published studies on RC beams and slabs with/without shear reinforcement. For more details, please see the papers below by the authors: [1] Structural Load Estimation Using Machine Vision and Surface Crack Patterns for Shear-Critical RC Beams and Slabs. Journal of Computing in Civil Engineering. Volume 32 Issue 4 - July 2018 [2] Data-Driven Vision-Based Inspection for Reinforced Concrete Beams and Slabs: Quantitative Damage and Load Estimation. Journal of Automation in Construction. Elsevier.
DOI: 10.17632/tftrff2fwt.1
title: MeshFix

description: This software takes as input a polygon mesh and produces a copy of the input where all the occurrences of a specific set of "defects" are corrected. MeshFix has been designed to correct typical flaws present in RAW DIGITIZED mesh models, thus it might fail or produce coarse results if run on other sorts of input meshes (e.g. tessellated CAD models). When the software fails, it appends a textual description to the file "meshfix.log". The input is assumed to represent a single CLOSED SOLID OBJECT, thus the output will be a SINGLE WATERTIGHT TRIANGLE MESH bounding a polyhedron. All the singularities, self-intersections and degenerate elements are removed from the input, while regions of the surface without defects are left unmodified.
DOI: 10.17632/4xkc5jtjj5.1
title: Repository of Water Quality Datasets & Models for the Lenguazaque River Basin (Cundinamarca, Colombia)

description: This repository contains the datasets, models, and code necessary to reproduce the methods 
related to water quality of my PhD Thesis. The Thesis can be found here -> https://repositorio.uniandes.edu.co/handle/1992/64730
Specifically, the methods are described in Section 3.3 of the Thesis and in the study area is presented in Chapter 4. 
Accordingly, materials in this repository lead to the results presented in Chapter 5.  These contents are also found in the following peer reviewed publication, currently under review:

Fernandez, N. & Camacho L.A. (2023). Water quality modeling in headwater catchments: 
Comprehensive data assessment, model development and simulation of scenarios. Water. Under 
review (submitted on January 20th, 2023).

The repository is organized according to the following description:
▪ Folder 1 (Data): This folder contains all primary and secondary water quality records available 
at the sites presented in Fig. 5.19 and described in Table 5.7.
▪ Folder 2 (Models): This folder contains all QUAL2Kw model files with the results presented 
in Section 5.3.2.3. Files are available for calibrated and verified models in Streams A, B, and C 
as defined in Fig. 5.25. The files include models with optimal parameters, as well as quantiles 
2.5 and 97.5 quantiles as presented in Table 5.13.
▪ Folder 3 (Code): This folder contains the analyses of the three stages of the proposed 
framework for water quality modeling, as presented in Table 3.2, where code was involved. All 
codes were written in Matlab and are numbered following the order of the activities of the 
proposed framework as closely as possible.
DOI: 10.17632/nwzb4p7h8b.7
title: Supplementary Information to: Life-cycle impacts of wind energy development on bird diversity in Norway

description: See the SI description document.
DOI: 10.17632/wc8tmdmsxm.2
title: Spatial architecture of high-grade glioma reveals tumor heterogeneity within distinct domains

description: Background: High-grade gliomas (HGG) are aggressive primary brain cancers with poor response to standard regimens, driven by immense heterogeneity. In isocitrate dehydrogenase (IDH) wild-type high-grade glioma (glioblastoma, GBM), increased intra-tumoral heterogeneity is associated with more aggressive disease. 

Methods: Spatial technologies can dissect complex heterogeneity within the tumor ecosystem by preserving cellular organization in situ. We employed GeoMx® digital spatial profiling, CosMx® spatial molecular imaging, Xenium® in situ mapping and Visium® spatial gene expression in experimental and validation patient cohorts to interrogate the transcriptional landscape in HGG. 

Results: Here, we construct a high-resolution molecular map of heterogeneity in GBM and IDH-mutant patient samples to investigate the cellular communities that compose high-grade glioma. We uncovered striking diversity in the tumor landscape and degree of spatial heterogeneity within the cellular composition of the tumors. The immune distribution was diverse between samples, however consistently correlated spatially with distinct tumor cell phenotypes, validated across tumor cohorts. Reconstructing the tumor architecture revealed two distinct niches, one composed of tumor cells that most closely resemble normal glial cells, associated with microglia; and the other niche populated by monocytes and mesenchymal tumor cells. 

Conclusions: This primary study reveals high levels of intra-tumoral heterogeneity in high-grade gliomas, associated with a diverse immune landscape within spatially localized regions.
DOI: 10.17632/6scy6h8sjz.1
title: ElectroCom61: A Multiclass Dataset for Detection of Electronic Components

description: The "ElectroCom61" dataset contains 2071 annotated images of electronic components sourced from the Electronic Lab Support Room, the United International University (UIU). This dataset was specifically designed to facilitate the development and validation of machine learning models for the real-time detection of electronic components. To mimic real-world scenarios and enhance the robustness of models trained on this data, images were captured under varied lighting conditions and against diverse backgrounds. Each electronic component was photographed from multiple angles, and following collection, images were standardized through auto-orientation and resized to 640x640 pixels, introducing some degree of stretching. The dataset is organized into 61 distinct classes of commonly used electronic components. The dataset were split into training (70%), validation (20%), and test (10%) sets.
DOI: 10.17632/6n8brzcg7t.3
title: Nguyen-Viet, Bang (2023). Dataset on the effect of gamification elements on learning effectiveness: A case study of Vietnamese students

description: Data were collected through direct distribution and collection from students and graduate students in Hanoi and Ho Chi Minh City, Vietnam from January to March 2023. The data set includes 255 valid responses.