cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12763504.v1
title: adult boar from Simultaneous estimation of seasonal population density, habitat preference and catchability of wild boars based on camera data and harvest records

description: population and other related parameters of adults
DOI: 10.6084/m9.figshare.28692182.v1
title: snailmatch supplemantary

description: The supplementary materials of the paper "Multi-Seasonal Remote Sensing and Deep Learning for Snail Habitat Mapping: A Semi-Supervised and Ensemble Approach".
DOI: 10.17632/58n8gf59wg
title: Precise calculation of the local pressure tensor in Cartesian and spherical coordinates in LAMMPS

description: Abstract An accurate and efficient algorithm for calculating the 3D pressure field has been developed and implemented in the open-source molecular dynamics package, LAMMPS. Additionally, an algorithm to compute the pressure profile along the radial direction in spherical coordinates has also been implemented. The latter is particularly useful for systems showing a spherical symmetry such as micelles and vesicles. These methods yield precise pressure fields based on the Irving–Kirkwood contour integrat... Title of program: Compute stress spatial Catalogue Id: AEVH_v1_0 Nature of problem A precise calculation of the pressure (stress) field requires the implementation of the contour integration [2] for each pair in the cluster potentials. Versions of this program held in the CPC repository in Mendeley Data AEVH_v1_0; Compute stress spatial; 10.1016/j.cpc.2014.11.017 AEVH_v1_0; Compute stress spatial; 10.1016/j.cpc.2014.11.017 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/68rcwckvj8
title: Description of Black Vulture flight feathers molt pattern using citizen science images

description: Online Resource 1 List of Coragyps atratus records accessed on the WikiAves website (www.wikiaves.com.
br) and Ebird (https://ebird.org/home), with identification of the photograph, moulting primary, location (state
and municipality), and date.
DOI: 10.6084/m9.figshare.20551626.v1
title: Giant Left Anterior Descending Coronary Artery Aneurysm in a Patient with Behçet’s Disease

description: ABSTRACT Coronary artery involvement is quite rare in the course of Behçet’s disease. Complications secondary to coronary artery aneurysms, including rupture, dissection, and myocardial ischemia, may be fatal. In young patients without cardiovascular risk factors, systemic inflammatory vasculitis syndromes should be investigated in case of acute coronary syndrome secondary to dilated coronary arteries. In this report, we present our management strategy in a 31-year-old male patient with Bechet’s disease.
DOI: 10.17632/hphn58ksfy
title: porousMultiphaseFoam v2107: An open-source tool for modeling saturated/unsaturated water flows and solute transfers at watershed scale

description: The first releases of porousMultiphaseFoam proposed an open-source software suite to solve the equations for multiphase flow (generalized Darcy’s law) in porous media or groundwater flows (Richards' equation) by taking advantage of OpenFOAM, a finite volume platform with automatic discretization on three-dimensional unstructured grids and good parallel efficiency. Recently, the porousMultiphaseFoam toolbox has been confronted with complex cases of fast water flows and solute transfers in realistic hydrological configurations with variable forcing conditions (heterogeneous infiltration and local tracer injection). Several developments have been carried out to make it possible to simulate those cases, which extend the toolbox with: (i) a set of solvers dedicated to groundwater flows, including coupled water flow and solute transport and simplified 2D approaches, (ii) improved numerical techniques for problems with strong non-linearities, (iii) libraries/executables for pre-processing of input data (geographical information and time-variable forcing terms) and (iv) passive or coupled scalar transport (tracer) with groundwater solvers that support any number of species. New solvers are validated on several (un-)saturated configurations by a direct comparison with a well validated finite element code.
DOI: 10.17632/wt8t5kxzbs
title: Compressible turbulent plane channel DNS database

description: The database contains detailed turbulence statistics of compressible turbulent plane channel (TPC) flow, obtained from direct numerical simulation (DNS), solving the compressible Navier-Stokes equations [1,2]. The database contains 25 flow-conditions determined by the corresponding Reynolds and Mach numbers (Retau*, MCLx), covering the range 100 &lt; Retau* &lt;1000 , 0.3&lt; MCLx &lt;2.5.

The directory corresponding to each flow-condition contains 4 subdirectories:
0_GD_global_data
1_PBs_profiles_and_budgets
2_pdfsq_single_variable_pdfs
3_pdfs2q_two_variable_joint_pdfs
each of which contains plain text (.txt.) files. Detailed comments in each file describe its contents, which are space-separated columns. All data can be directly plotted from the files using gnuplot.

Detailed description of the computations and initial physical analysis of the data can be found in [1,2] (both are open access).

[1] Gerolymos G.A, Vallet I.: J. Fluid Mech. 958 (2023) A19; doi:10.1017/jfm.2023.42
[2] Gerolymos G.A, Vallet I.: J. Fluid Mech. 978 (2024) A25; doi:10.1017/jfm.2023.1034
DOI: 10.6084/m9.figshare.9944303.v6
title: Supplementary Material for: Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research

description: Digital health technologies (smartphones, smartwatches, and other body-worn sensors) can act as novel tools to aid in the diagnosis and remote objective monitoring of an individual’s disease symptoms, both in clinical care and in research. Nonetheless, such digital health technologies have yet to widely demonstrate value in clinical research due to insufficient data interpretability and lack of regulatory acceptance. Metadata, i.e., data that accompany and describe the primary data, can be utilized to better understand the context of the sensor data and can assist in data management, data sharing, and subsequent data analysis. The need for data and metadata standards for digital health technologies has been raised in academic and industry research communities and has also been noted by regulatory authorities. Therefore, to address this unmet need, we here propose a metadata set that reflects regulatory guidelines and that can serve as a conceptual map to (1) inform researchers on the metadata they should collect in digital health studies, aiming to increase the interpretability and exchangeability of their data, and (2) direct standard development organizations on how to extend their existing standards to incorporate digital health technologies. The proposed metadata set is informed by existing standards pertaining to clinical trials and medical devices, in addition to existing schemas that have supported digital health technology studies. We illustrate this specifically in the context of Parkinson’s disease, as a model for a wide range of other chronic conditions for which remote monitoring would be useful in both care and science. We invite the scientific and clinical research communities to apply the proposed metadata set to ongoing and planned research. Where the proposed metadata fall short, we ask users to contribute to its ongoing revision so that an adequate degree of consensus can be maintained in a rapidly evolving technology landscape.
DOI: 10.17632/t48yhff7hs
title: An astonishing wealth of new proteasome homologs

description: The clustermap, sequence alignments and structure models used for our new paper, in which we describe the discovery of new proteasome homologs (will be linked here when published). The clustermap provides a visualization of the sequence relationships of these homologs and can be opened with CLANS (https://www.eb.tuebingen.mpg.de/protein-evolution/software/clans/). The subunit structure models were predicted with the tFold server (https://drug.ai.tencent.com) and can be opened with a PDB viewer, such as PyMol. The alignments are provided as fasta files and can be opened most sequence alignment tools, e.g. MUSCLE.
DOI: 10.6084/m9.figshare.28582940.v1
title: Survey Responses

description: Our research introduces the Power Outage – Risk integrated Social Vulnerability Index (PO-RSVI) to assess the social vulnerability of small residential communities to prolonged power outages, incorporating dimensions of outage susceptibility, coping capacity, and accessibility, while exploring its relationship with willingness to pay for emergency power supplies.
DOI: 10.15468/dl.6hpj3b
title: Occurrence Download

description: A dataset containing 9772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Nassella trichotoma (Nees) Hack. & Arechav.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 9772 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012911-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28985072.v1
title: Additional analysis on centroAnno.

description: Additional analysis on centroAnno
DOI: 10.6084/m9.figshare.29069816.v1
title: NGS-Raw-Data-SuFEx-2025.zip

description: This zip file contains the NGS raw data (fastq format, including R1 and R2) of the winner sequences identified by the SuFEx in vitro selection. After unzipping, in the folder or file names, SF, bFS and fFS means phenylsulfonyl fluoride, bare phenylfluorosulfate and fluoride-substituted phenylfluorosulfate as reactive groups, respectively. HER3 and VEGF represents the protein target.
DOI: 10.17632/t4wvpy29fz
title: An Automated and Unbiased Grain Segmentation Method based on Directional Reflectance Microscopy, Wittwer et al.

description: This repository contains the data and code necessary to reproduce the results presented in our publication. Abstract: Identifying individual grains from sectioned polycrystalline metals is a foundational task of microstructure analysis. However, traditional grain segmentation methods applied to optical micrographs may suffer from the lack of optical contrast between grains and require the manual selection of adjustable parameters to achieve acceptable segmentation results. We propose an alternative method which takes advantage of a multi-angle optical microscopy technique termed directional reflectance microscopy. By combining dimensionality reduction, similar-dissimilar classification, and multi-region merging of surface directional reflectance, our method enables fully automated and reliable grain segmentation of polycrystalline surfaces. We apply our method to metal samples with different crystal structures and grain orientation distributions. Our results suggest applicability of the method to a wide range of microstructures, enabling a more objective, robust, and universal characterization of polycrystalline metals.
DOI: 10.17632/yhg7226vbs
title: Construcción de equipos solares en el marco de la tecnicatura universitaria en energía solar (UNSa)

description: Se presenta la construcción de cuatro equipos conversores termo solares: un calefón, un destilador, un secador y una cocina. Estos fueron realizados por alumnos cursantes de la materia cuatrimestral ¨Materiales y Construcción de Equipos Solares¨ del último año de la ¨Tecnicatura Universitaria en Energía Solar¨ de la UNSa. Los equipos fueron elaborados con la premisa de utilizar materiales reciclados y técnicas de bajo costo, si bien los prototipos elaborados son demostrativos y de mediana escala son perfectamente operativos y funcionales. Se muestra un resumen de los resultados obtenidos de las respectivas caracterizaciones las cuales fueron satisfactorias. Los prototipos fueron mostrados y en perfecto funcionamiento en la Semana de la Ciencia, la Tecnología y la Cultura en el marco de los 50° años de la Universidad Nacional de Salta.
DOI: 10.17632/yvtn2gp8zg
title: Hog Plum Leaf Disease Detection Dataset

description: #Purpose: Enables early and accurate identification of Hog plum leaf diseases, aiding sustainable agriculture.
 
#Collection: Captured across multiple locations in Bangladesh with field surveys guided by experts.

#Original Dataset:
3782 images in .jpg format
Categorized into 'healthy' and 'not_healthy' (representing various disease symptoms)

#Augmented Dataset:
20000 images, created through flipping, scaling, and brightening to improve dataset robustness.

#Applications: Ideal for researchers and practitioners to advance machine learning models in agriculture, enhancing disease detection and crop management.
DOI: 10.17632/cdhpc4ys8x
title: Supporting information for “Geochemical and Sr-Nd isotopic characteristics of volcanic rocks from the Iheya Ridge, the middle Okinawa Trough: mantle source and petrogenesis”.

description: This supporting information provides the data tables for Sample location, whole-rock major and trace elements (Table S1) , Mineral composition (Table S2) and Sr-Nd isotope (Table S3).
DOI: 10.17632/dhgbssb8ns
title: Small and medium-sized bakery production data for scheduling

description: Production scheduling is one of the most important research topics in the discipline of industrial engineering and management. The use of a flow shop model and optimization algorithm to find an optimum schedule with the lowest production cost is common. The approach begins with the collection of production data in order to have a better understanding of the production environment.
This dataset contains information from a single bakery production line. It is slightly modified from the original production data. The hybrid no-wait flow shop scheduling concept is applicable for bakeries. There should be no delay between two successive stages. Furthermore, the products are grouped according to their internal dependencies. One product can be produced at any point during the manufacturing process of a group of products. The remainder of the products in the same group, however, are dependent on it.
The parameters in this dataset are described in detail below.

machine_id (M): The id for machines
machine_name: The name of the corresponding machine
machine_category: Machines of the same functionality are identified, so that one of them can be chosen.
employee_id (E): The id for employees
shift_start: The production time [min] when the shift of an employee starts
shift_end: The production time [min] when the shift of an employee ends
pr_group	(PG): Product group number, grouped based on internal dependency of the products
product_id (P): ID for the products within a group
bowl_time_WT (WT): Start time difference between independent product and another product of the group
product_name: Name of the product
batches: Number of batches of a group. If the value is 2 for a group, all the products in this group have to produce two times. However, 2 groups must not be produced at the same time or one after one. In other words, batches of same group do not depend on each other. Therefore, multiple batches can be produced independently. However, products withing a batch of a group must follow the bowl time (WT).
stage_name: Name of the processing stages
duration_PT (PT): Processing time [min] for the stages
machines_ employees_ME (M, E): Required machines or employees that can perform the task. Dough rest and cooling require no machines. For proofing no blockage is considered. It means proving chamber can operate as many product as possible to produce at a time. In such cases, the cells are kept empty. The term "Manual" indicates that the task has to performed by any employee.
DOI: 10.17632/gjhk3wk4h4
title: Supplementary data for SP-2021-PEM-seq

description: The original picture for Fig3 and high-throughput sequencing data for PEM-seq analysis.
DOI: 10.17632/t2s5f6g4w4
title: Data for: Robust thermal infrared object tracking with continuous correlation filters and adaptive feature fusion

description: It is the tracking results of the proposed tracker on the VOT-TIR2016 dataset generated by the vot-toolkit.
DOI: 10.6084/m9.figshare.26414095.v1
title: DWAM-Former Raw Data

description: Raw data includes aduio utterances of healty and depressed participants.
DOI: 10.17632/3cv8z3p43t
title: Tanzanian Bone Setter Interview Transcripts June-July 2017

description: Between June and July 2017, we conducted semi-structured interviews with six self-described traditional bone setters, two each in the Northern Tanzanian regions of Kilimanjaro, Arusha, and Manyara. The bone setters sampled were considered to be key informants based on community perceptions and reputation. Bone setters were interviewed at either their place of work or their home. The interview teams consisted of two to four people, always including at least one foreign and one native investigator and up to two foreign and two native investigators. Interviews were conducted in English by a foreign investigator and live-translated into Swahili or M’aa by a native investigator. Both native and foreign contextual note takers were present during interviews. Interviews lasted between one and two hours and were semi-structured around the topics of background, practices, and views on allopathic medicine for musculoskeletal injuries. Audio and video were recorded for later analysis. We transcribed verbatim each interview and one investigator subsequently translated them into English. Consent to interview was obtained orally prior to the day of interview and written on the day of the interview. Written consent was obtained by initials or thumbprint depending on literacy. Institutional board review approval was obtained from Tumaini University and Kilimanjaro Christian Medical College.
DOI: 10.17632/ktx4cj55pn
title: Radiographic Dataset for VHS determination learning process

description: The data collected at baseline include latero lateral thoracic radiographic images of canine patients. This data was collected in 2019- 2020. The number of patients is 156 canine patients. The dataset consists of 156 radiographic images . The images are in PNG format. Materials and Methods Radiographic images were taken and collected at the Small Animal Veterinary Teaching Hospital, Veterinary Sciences Reasearch Institute, Autonomous University of Baja California. The image collection and classification was performed between 2019- 2020. The instrument used in the radiographic image adquisition process is Universal AV Choice X-Ray System and Rayence XMARU 1417PGA-PCA 14×17″ cassette digital detector (DR system). In the development of radiographic studies, techniques were used in the range of the following parameters using a high peak kilovoltage (kVp 70-80) and low milliampere-second technique (mA 200, ms 10-40) equivalent to 2-8 mAs. This technique allows for latitude (long gray scale) images, which are important when evaluating the structures of the thorax. For a right and left lateral image, patients were positioned on the table with the dependent side down. Relevant anatomical structures in the determination of VHS were included. The laterals beam projections extended from the cranial margin of the manubrium to the caudo-dorsal margin of the lung margin/diaphragmatic crus. The sternum of the patient was included so as not to exclude vital anatomy. The number of images collected initially was 628 and were stored in a DICOM format. DICOM images were converted to PNG format by using a DICOM converter application included on the acquisition software. After performing classification and preprocessing, the number of images included in the final dataset was reduced to 152 representative images. All images were cropped to different sizes to remove unused and unimportant boundaries from the images using fast photo crop. As the original images contain confidential patient information not relevant for the overall educational purpose, the data was anonymized by removing all fields that would enable patient identification. The original VHS measurement was not included in the image because they may affect the output results of the training process.
DOI: 10.6084/m9.figshare.677131.v10
title: neotoma - an R package for the Neotoma Paleoecological Database

description: Current Version - 1.2-0. An R package to allow users to interface with the Neotoma Paleoecological Database (http://www.neotomadb.org) in an R session. Hosted and assisted by ROpenSci at https://github.com/ropensci/neotoma To use, simply extract to the R library folder and use as you would any other package. NOTE: Some Mac users have reported installation problems. The most up to date version can always be installed using: &gt; install.packages("devtools") &gt; require(devtools) &gt; install_github("neotoma", "ropensci") &gt; require(neotoma) More details in the help file and at the linked blog post (below). This package is associated with the following publication: Goring, S., Dawson, A., Simpson, G. L., Ram, K., Graham, R. W., Grimm, E. C., & Williams, J. W.. (2015). neotoma: A Programmatic Interface to the Neotoma Paleoecological Database, 1(1), Art. 2. DOI: http://doi.org/10.5334/oq.ab
DOI: 10.17632/fxfvtgsn66
title: NUMBER OF STAGES AND THERMAL PRETREATMENT EFFECTS ON BIOGAS PRODUCTION FROM LIGNOCELLULOSIC MATERIALS

description: Data of the biogas production and methane content
DOI: 10.17632/m72tyjb8nr
title: Dataset for waste tire and constituent polymers pyrolysis on Me/NT-Ti (Me = Pd, Au, Pt).

description: This dataset includes results on the thermal characterization of waste tires by thermogravimetric analysis. In addition here we report a complete dataset on the analytical pyrolysis (Py-GC/MS) experiments of WT in the presence of different catalysts. The data is complementary to a published paper, thus a complete description of the materials, methods and equipments used to obtain this dataset is provided in those papers. The experiments were done for waste tires coming from light vehicles, and three metals Pd, Pt, Au deposited on titanate nanotubes (NT-Ti) were used as catalysts for selectively produce valuable chemicals. Experimental factors were the metal nature of the catalyst and the pyrolysis temperature (400 – 450ºC). Moreover, the pyrolysis was investigated for three individual polymers (polyisoprene, butadiene, and styrene-butadiene) to establish possible reaction routes describing the role of metals in the pyrolysis reaction map and product distribution. 
Three folders are provided here:
1- Raw datafile for TGA of WT recorded in N2 flow between 20 and 650ºC at 10 ºC/min
2- Datafiles for TurboMass software v5.4 (Perkin Elmer, 2017) with the results of all pyrolytic experiments ordered by materials, temperatures and catalysts nature.
3- Excel files with the retention time, peak area, peak height, among other chromatographic results from the Py-GC/MS.
DOI: 10.4121/uuid:6526d884-e3dd-4333-ad77-9ae7bfd9c214
title: Wave transmission at various types of low-crested structures using neural networks

description: Dataset for training (and verification) of a Neural Network to compute wave transmission trough and over breakwaters