cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s8c6dws3s4.1
title: Erosion-deposition dynamics and long distance propagation of granular avalanches

description: The net erosion-deposition rate of a snow avalanche is fundamental to the dynamics of the flow and in determining its growth or decay. Small-scale experiments are performed in this paper that are analogous to a finite mass release on a marginally stable surface layer of snow. An avalanche is initiated by releasing a given volume of yellow sand onto a stationary erodible layer of the same material, but coloured red, which coats the rough bed of an inclined plane. Depending on the erodible layer depth and the slope angle, the resulting avalanche is found to either decay, grow, propagate steadily or rapidly shed grains to produce secondary avalanches. The use of different coloured sand with identical frictional properties shows that a particle exchange occurs during erosion from the substrate and deposition by the avalanche, which eventually results in a flow that is comprised entirely of particles from the stationary layer rather than the initial release. It is notoriously difficult to model the erosion and deposition processes in granular flows such as these. Nonetheless, it is shown in this paper that a two-dimensional shallow-water-like avalanche model, together with a basal friction rule that is responsible for handling the transition between stationary and moving regions of the flow, is able to qualitatively reproduce of all the observed avalanche behaviours. The model is solved numerically together with equations governing the three-dimensional motion of individual particles, which allows the positions of specific grains to be tracked. The results illustrate how a continuous exchange of particles with the substrate layer is fundamentally important to the propagation of such avalanches. An investigation into long distance propagation distance behaviour reveals that avalanches can reach a steady state, the size and speed of which are independent of the initially released volume but are set by the slope angle and basal layer thickness. In certain conditions, including an abundance of erodible material available, avalanches can sometimes grow to steady states that are significantly more massive than the flows from which they are originally formed. This paper therefore demonstrates the dominant effect that erosion and deposition may have, and the importance of including these effects correctly in operational forecast models of snow avalanches and geophysical mass flows.
DOI: 10.17632/59sz6bkj2n.1
title: Decreasing in patch-size of Cystoseira forests reduces the diversity of their associated molluscan assemblages in Mediterranean rocky reefs - data and scripts

description: This repository contains files to reproduce the analyses carried out in the paper "Decreasing in patch-size of Cystoseira forests reduces the diversity of their associated molluscan assemblages in Mediterranean rocky reefs".
DOI: 10.17632/hg8fwj6c3m.1
title: Data for manuscript: A numerical model for prediction of nanoparticle distribution and microstructure evolution during solidification of metal matrix nanocomposites

description: This dataset contains all the simulation results used for generating the figures of the manuscript titled "A numerical model for prediction of nanoparticle distribution and microstructure evolution during solidification of metal matrix nanocomposites" including raw simulation output files and processed data in spreadsheets. The raw data files are in dat format and can be opened for visualization using tools such as Paraview or Tecplot. The data are arranged according to the figure numbers of the manuscript "A numerical model for prediction of nanoparticle distribution and microstructure evolution during solidification of metal matrix nanocomposites"
DOI: 10.17632/dtrhd258g8.1
title: G-SAM – Guidelines for sustainable agricultural mechanization (SAM)
DOI: 10.17632/spn7rg5b3x.2
title: Fourier Transform Infrared Spectroscopy (FTIR) Analysis of Fish Scale Collagen from Carp Fish

description: Analysis of Fourier Transform Infrared Spectroscopy (FTIR) fish scale collagen obtained from carp fish (Cyprinus carpio).
DOI: 10.17632/f9m85ptmvc.4
title: Dataset for Efficient Microbes Classification System

description: It is a dataset for ten different micro-forms of life (Spirogyra, Volvox, Pithophora, Yeast, Raizopus, Penicillum, Aspergillus sp, Protozoa, Diatom, Ulothrix). It has been created for building a classification model for automatic identification. Following are the features along with their descriptions which are extracted from the microscopic images. 1. Solidity: It is the ratio of area of an object to the area of a convex hull of the object. Computed as Area/ConvexArea. 2. Eccentricity: The eccentricity is the ratio of length of major to minor axis of an object. 3. EquivDiameter: Diameter of a circle with the same area as the region. 4. Extrema: Extrema points in the region. The format of the vector is [top-left top-right right-top right-bottom bottom-right bottom-left left-bottom left-top]. 5. Filled Area: Number of on pixels in FilledImage, returned as a scalar. 6. Extent: Ratio of the pixel area of a region with respect to the bounding box area of an object. 7. Orientation: The overall direction of the shape. The value ranges from -90 degrees to 90 degrees. 8. Euler number: Number of objects in the region minus the number of holes in those objects. 9. Bounding box: Position and size of the smallest box (rectangle) which bounds the object. 10. Convex hull: Smallest convex shape/polygon that contains the object. 11. Major axis: The major axis is the endpoints of the longest line that can be drawn through the object. Length (in pixels) of the major axis is the largest dimension of the object. 12. Minor axis: The axis perpendicular to the major axis is called the minor axis. Length (in pixels) of the minor axis is the smallest line connecting a pair of points on the contour. 13. Perimeter: Number of pixels around the border of the region. 14. Centroid: Centre of mass of the region. It is a measure of object’s location in the image. 15. Area: Total number of pixels in a region/shape.
DOI: 10.17632/xvkr6t263v.1
title: Dataset for Artificial Intelligence in Orthopaedics: A Scoping Review

description: Spreadsheet containing 222 studies that describe the application of artificial intelligence in orthopaedics
DOI: 10.17632/cbdth2nprm.1
title: MDP instances

description: Here are the four real-world instances used in the article https://doi.org/10.1016/j.omega.2021.102392 These instances help other researcher to develop alternative approaches to solve an optimization problem called "Mask Design Problem" (MDP). This problem appears when selecting the field of view and the stellar objects to study in the sky by using a instrument in spectroscopy with a configurable slit unit. The researcher will find here a ".dat" file for each instance that determines the position of all the starts in a catalogue, around one degree square in the sky. For each instance there is also the solution found by the approach in https://doi.org/10.1016/j.omega.2021.102392. Other details (like the computational time, etc) are reported in the article itself.
DOI: 10.17632/3nff493kdd.1
title: DNA_vaccine_SPDv_Salmon
DOI: 10.17632/nyp65n4hct.1
title: PhD Thesis: Scientific instruments to facilitate the human exploration of Mars

description: The repository contains the audio version of the PhD thesis titled "Scientific instruments to facilitate the human exploration of Mars" authored by Miracle Israel Nazarious. The nomenclature of the audio files in .mp3 format follows the chapter names in the main thesis document. The original PhD thesis document can be found at: https://www.diva-portal.org/smash/record.jsf?pid=diva2:1475976
DOI: 10.17632/3d4vr4dwjs.3
title: Data for "Agreement and predictive power of six fall risk assessment methods in community-dwelling older adults"

description: The dataset contained data from 52 (female: n=44, 85%) community-dwelling residents aged [median (interquartile range)] 74 (69–80) years who seek care in a private physiotherapy clinic.25 Most participants reported being regularly engaged in physical activity (n=42, 81%) for 2 (2–2) days/week. No evidence of dementia was observed in the sample as the group scored 29 (28–29) points in the Mini-Mental State Examination.29–31 Handgrip strengths were measured bilaterally using a portable Jamar hydraulic hand dynamometer (model J00105, Lafayette Instrument Company, USA) according to the standard recommendations34 were 20 (16–24) kgf and 20 (18–24) kgf for the dominant and non-dominant hands, respectively. Participants also frequently reported poor sight (n=47, 90%) with use of corrective lenses (n=36, 69%). Only two (4%) participants needed a walking assistive device.
DOI: 10.6084/m9.figshare.3413401
title: Delineation of precipitation regions using location and atmospheric variables in two Canadian climate regions: the role of attribute selection

description: The identification of homogeneous precipitation regions is essential in the planning, design and management of water resources systems. Regions are identified using a technique that partitions climate sites into groups based on the similarity of their attributes; the procedure is known as regionalization. In this paper the ability of four attribute sets to form large, coherent precipitation zones is assessed in terms of the regional homogeneity of precipitation statistics and computational efficiency. The outcomes provide guidance for effective attribute selection for future studies in Canada. The attributes under consideration include location parameters (latitude, longitude), distance to major water bodies, site elevation and atmospheric variables modelled at different pressure levels. The analysis is conducted in two diverse climate regions within Canada including the Prairie and the Great Lakes–St Lawrence lowlands regions. The method consists of four main steps: (i) formation of the attribute sets; (ii) determination of the preferred number of regions (selection of the <i>c</i>-value) into which the sites are partitioned; (iii) regionalization of climate sites using the fuzzy <i>c-</i>means clustering algorithm; and (iv) validation of regional homogeneity using <i>L</i>-moment statistics. The results of the attribute formation, <i>c</i>-value selection, regionalization and validation processes are presented and discussed in a comparative analysis. Based on the results it is recommended for both regions to use location parameters including latitude, longitude and distance to water bodies (in the Great Lakes region) to form precipitation regions and to consider atmospheric variables for future (climate change) applications of the regionalization procedure.
DOI: 10.6084/m9.figshare.3978756
title: Impact of precipitation and temperature changes on hydrological responses of small-scale catchments in the Ethiopian Highlands

description: The hydrological response of catchments with different rainfall patterns was assessed to understand the availability of blue and green water and the impacts of changing precipitation and temperature in the Ethiopian Highlands. Monthly discharge of three small-scale catchments was simulated, calibrated, and validated with a dataset of more than 30 years. Different temperature and precipitation scenarios were used to compare the hydrological responses in all three catchments. Results indicate that runoff reacts disproportionately strongly to precipitation and temperature changes: a 24% increase in precipitation led to a 50% increase in average annual runoff, and an average annual rainfall–runoff ratio that was 20% higher. An increase in temperature led to an increase of evapotranspiration and resulted in a decrease in the rainfall–runoff ratio. But a comparison of combined results with different climate change scenarios shows that downstream stakeholders can expect a higher share of available blue water in the future.
DOI: 10.6084/m9.figshare.3413401.v2
title: Delineation of precipitation regions using location and atmospheric variables in two Canadian climate regions: the role of attribute selection

description: The identification of homogeneous precipitation regions is essential in the planning, design and management of water resources systems. Regions are identified using a technique that partitions climate sites into groups based on the similarity of their attributes; the procedure is known as regionalization. In this paper the ability of four attribute sets to form large, coherent precipitation zones is assessed in terms of the regional homogeneity of precipitation statistics and computational efficiency. The outcomes provide guidance for effective attribute selection for future studies in Canada. The attributes under consideration include location parameters (latitude, longitude), distance to major water bodies, site elevation and atmospheric variables modelled at different pressure levels. The analysis is conducted in two diverse climate regions within Canada including the Prairie and the Great Lakes–St Lawrence lowlands regions. The method consists of four main steps: (i) formation of the attribute sets; (ii) determination of the preferred number of regions (selection of the <i>c</i>-value) into which the sites are partitioned; (iii) regionalization of climate sites using the fuzzy <i>c-</i>means clustering algorithm; and (iv) validation of regional homogeneity using <i>L</i>-moment statistics. The results of the attribute formation, <i>c</i>-value selection, regionalization and validation processes are presented and discussed in a comparative analysis. Based on the results it is recommended for both regions to use location parameters including latitude, longitude and distance to water bodies (in the Great Lakes region) to form precipitation regions and to consider atmospheric variables for future (climate change) applications of the regionalization procedure.
DOI: 10.6084/m9.figshare.3978756.v1
title: Impact of precipitation and temperature changes on hydrological responses of small-scale catchments in the Ethiopian Highlands

description: The hydrological response of catchments with different rainfall patterns was assessed to understand the availability of blue and green water and the impacts of changing precipitation and temperature in the Ethiopian Highlands. Monthly discharge of three small-scale catchments was simulated, calibrated, and validated with a dataset of more than 30 years. Different temperature and precipitation scenarios were used to compare the hydrological responses in all three catchments. Results indicate that runoff reacts disproportionately strongly to precipitation and temperature changes: a 24% increase in precipitation led to a 50% increase in average annual runoff, and an average annual rainfall–runoff ratio that was 20% higher. An increase in temperature led to an increase of evapotranspiration and resulted in a decrease in the rainfall–runoff ratio. But a comparison of combined results with different climate change scenarios shows that downstream stakeholders can expect a higher share of available blue water in the future.
DOI: 10.6084/m9.figshare.3413401.v1
title: Delineation of Precipitation Regions using Location and Atmospheric Variables in Two Canadian Climate Regions: The role of attribute selection

description: The identification of homogeneous precipitation regions is essential to the planning, design and management of water resources systems. Regions are identified using a technique that partitions climate sites into groups based on the similarity of their attributes; the procedure is known as regionalization. In this paper the ability of four attribute sets to form large, coherent precipitation zones is assessed in terms of the regional homogeneity of precipitation statistics and computational efficiency. The outcomes provide guidance for effective attribute selection for future studies in Canada. The attributes under consideration include location parameters (latitude, longitude), distance to major water bodies, site elevation and atmospheric variables modeled at different pressure levels. The analysis is conducted in two diverse climate regions within Canada including the Prairie and the Great Lakes-St. Lawrence lowlands regions. The method consists of four main steps: (i) formation of the attribute sets; (ii) determination of the preferred number of regions (selection of the <i>c</i>-value) into which the sites are partitioned; (iii) regionalization of climate sites using the fuzzy <i>c-</i>means clustering algorithm; and (iv) validation of regional homogeneity using <i>L</i>-moment statistics. The results of the attribute formation, <i>c</i>-value selection, regionalization and validation processes are presented and discussed in a comparative analysis. Based on the results it is recommended for both regions to use location parameters including latitude, longitude, and distance to water bodies (in the Great Lakes region) to form precipitation regions and to consider atmospheric variables for future (climate change) applications of the regionalization procedure.
DOI: 10.6084/m9.figshare.13547816
title: Supporting Information for Manuscript 624741 entitled : Two new antiprotozoal diterpenes from the roots of Acacia nilotica.docx

description: This dataset contains 1D and 2D NMR spectral information on two novel diterpenes from Acacia nilotica. Compound 1 was identified as 16, 19-dihydroxycassa-12-en-15-one and given the trivial name Sandynone, 1 and its chemical shifts compared very well with similar compounds (Mendoza et al 2003). The relative stereochemistry was determined using its NOESY (Supplementary material 7). Compound 2 was identified as the seco-oxacassane, (5S, 7R, 8R, 9R, 10S, 13Z, 17S)-7,8:7,17:16,17-triepoxy-7,8-seco-cassa-13-ene (Niloticane B) and confirmed by literature reports (Manriquez-Torres et al, 2013). Interestingly Manriquez-Torres et al (2013) reported on a dimer of compound 2, however, there was no mass higher than the molecular ion in its HR-EIMS spectrum and no mass fragment which could suggest the our compound (Compound 2) being dimeric. <br>
DOI: 10.6084/m9.figshare.13547816.v2
title: Supporting Information for Manuscript 624741 entitled : Two new antiprotozoal diterpenes from the roots of Acacia nilotica.docx

description: This dataset contains 1D and 2D NMR spectral information on two novel diterpenes from Acacia nilotica. Compound 1 was identified as 16, 19-dihydroxycassa-12-en-15-one and given the trivial name Sandynone, 1 and its chemical shifts compared very well with similar compounds (Mendoza et al 2003). The relative stereochemistry was determined using its NOESY (Supplementary material 7). Compound 2 was identified as the seco-oxacassane, (5S, 7R, 8R, 9R, 10S, 13Z, 17S)-7,8:7,17:16,17-triepoxy-7,8-seco-cassa-13-ene (Niloticane B) and confirmed by literature reports (Manriquez-Torres et al, 2013). Interestingly Manriquez-Torres et al (2013) reported on a dimer of compound 2, however, there was no mass higher than the molecular ion in its HR-EIMS spectrum and no mass fragment which could suggest the our compound (Compound 2) being dimeric. <br>
DOI: 10.6084/m9.figshare.13547816.v1
title: Supporting Information for Manuscript 624741 entitled : Two new antiprotozoal diterpenes from the roots of Acacia nilotica.docx

description: This dataset contains 1D and 2D NMR spectral information on two novel diterpenes from Acacia nilotica. Compound 1 was identified as 16, 19-dihydroxycassa-12-en-15-one and given the trivial name Sandynone, 1 and its chemical shifts compared very well with similar compounds (Mendoza et al 2003). The relative stereochemistry was determined using its NOESY (Supplementary material 7). Compound 2 was identified as the seco-oxacassane, (5S, 7R, 8R, 9R, 10S, 13Z, 17S)-7,8:7,17:16,17-triepoxy-7,8-seco-cassa-13-ene (Niloticane B) and confirmed by literature reports (Manriquez-Torres et al, 2013). Interestingly Manriquez-Torres et al (2013) reported on a dimer of compound 2, however, there was no mass higher than the molecular ion in its HR-EIMS spectrum and no mass fragment which could suggest the our compound (Compound 2) being dimeric. <br>
DOI: 10.6084/m9.figshare.13548017
title: Data_empírico1e2

description: Data from a comparative study with different teaching approaches
DOI: 10.13023/kgs.data.2021.01
title: Deepest Observed Fresh Groundwater Contour Lines for the Cumberland Plateau of Eastern Kentucky

description: These contour lines detail the estimated depth of the base of fresh groundwater—i.e., deepest observed fresh water. These contours were created using the deepest domestic water well depths in each 11-digit HUC watershed of a 14-county study area in the Cumberland Plateau of eastern Kentucky.
description: © 2021 University of Kentucky
DOI: 10.15156/bio/sh1733075.08fu
title: SH1733075.08FU

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/sh367963.07fu
title: SH367963.07FU

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/sh367964.07fu
title: SH367964.07FU

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.