cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/tb0s-xt31
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date bunches covered by bags. The dataset is fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions.     Update: Dataset-2 was uploaded. Date: 16/05/2019.
DOI: 10.21227/ycfg-2f80
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date bunches covered by bags. The dataset is fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions.     Update: Dataset-2 was uploaded. Date: 16/05/2019.
DOI: 10.5519/qd.5atqaipo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (77 records)
DOI: 10.5519/qd.omkhq0yp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.5519/qd.owjh55jq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.21227/0p9c-4h40
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date bunches covered by bags. The dataset is fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions.    Update: Dataset-2 was uploaded. Date: 16/05/2019.
DOI: 10.21227/wzt6-eq85
title: Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

description: The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illumination images, and date bunches covered by bags. The dataset is fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions.    Update: Dataset-2 was uploaded. Date: 16/05/2019.
DOI: 10.7910/dvn/cwftzx/pktseh
title: wp_2019_replication.do

description: :unav
DOI: 10.7910/dvn/cwftzx/qie2r0
title: wp_2019_replication.tab

description: :unav
DOI: 10.7910/dvn/cwftzx/zzqdsa
title: notes.txt

description: :unav
DOI: 10.17632/8sb4t4r8b2.1
title: Covariance coefficients factors from a clinical study of the severity of bronchial asthma in children of the Kharkov region, 2017

description: Covariance coefficients factors from a clinical study of the severity of bronchial asthma in children of the Kharkov region, 2017 Kozhyna O.S. Department of Fundamentals of Pediatrics No.2, Kharkiv National Medical University, 4 Nauky Avenue, Kharkiv, Ukraine https://orcid.org/0000-0002-4549-6105; e-mail: olga.kozhyna.s@gmail.com; Pihnastyi O.M. Department of distributed information systems and cloud technologies, National Technical University "Kharkiv Polytechnic Institute", Pushkinskaya 79-2, 1st Floor, Kharkov, Ukraine, 61102 Part 1. Matrix representation (2017 Part 1 Matrix representation.csv) To predict the severity of bronchial asthma, 130 factors have been identified [1,2]. The relation between the factors is expressed by the correlation coefficient. The value of the correlation coefficient for the two studied factors determined by the intersection of the corresponding column with 1-factor and row with 2-factor. For the calculation of the correlation coefficient used data [2]. Part 2. Sorted sequence (2017 Part 2 Sorted sequence.csv) To predict the severity of bronchial asthma, 130 factors have been identified [1,2]. The relation between the factors is expressed by the correlation coefficient. 130 analyzed factors correspond to 17315 coefficients correlations. The correlation coefficients between the factors are presented in ascending order. For the calculation of the correlation coefficient used data [2]. 1.Kozhyna O.S. Data Structure of Clinical Research / O.S.Kozhyna, O.M.Pihnastyi // Human Health & Disease - 2019.– vol. 3. –issue 9. - p. 71-79 – http://dx.doi.org/10.2139/ssrn.3336301 2.Kozhyna O.S. Statistical data of a clinical study of the severity of bronchial asthma in children of the Kharkov region, 2017/ O.S. Kozhyna, O.M.Pihnastyi //Mendeley Data, V1- 2019. –http://dx.doi.org/10.17632/9wf2hhd4yf.2
DOI: 10.5517/ccdc.csd.cc20wnwg
title: CCDC 1873636: Experimental Crystal Structure Determination

description: Related Article: Matthew A. Johnson, Zahra A. Tabasi, Yuming Zhao|2019|New J.Chem.|43|8325|doi:10.1039/C8NJ05655B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2101qv
title: CCDC 1876886: Experimental Crystal Structure Determination

description: Related Article: Marija S. Jeremić, Marko D. Radovanović, Frank W. Heinemann, Miorad M. Vasojević, Zoran D. Matović|2019|Polyhedron|169|89|doi:10.1016/j.poly.2019.04.053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/95w89vwvnv.1
title: Lysosome Positioning Influences mTORC2 and AKT Signaling-Jia and Bonifacino
DOI: 10.18716/nmrshiftdb2/20200142
title: NMR data for (RS)-2-(4-Isobutylphenyl)propionic acid; (RS)-2-[4-(2-Methylpropyl)phenyl]propane acid; Ibuprofen; isobutylphenylpropionic acid
DOI: 10.5517/ccdc.csd.cc212wnp
title: CCDC 1879612: Experimental Crystal Structure Determination

description: Related Article: Julien Malassis, Jean-Baptiste Vendeville, Qui-Hien Nguyen, Marie Boujon, Quentin Gaignard-Gaillard, Mark Light, Bruno Linclau|2019|Org.Biomol.Chem.|17|5331|doi:10.1039/C9OB00707E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc212wpq
title: CCDC 1879613: Experimental Crystal Structure Determination

description: Related Article: Julien Malassis, Jean-Baptiste Vendeville, Qui-Hien Nguyen, Marie Boujon, Quentin Gaignard-Gaillard, Mark Light, Bruno Linclau|2019|Org.Biomol.Chem.|17|5331|doi:10.1039/C9OB00707E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/579h473jkh.1
title: Shape-shifting honeycomb metamaterials with thermally-adaptive Poisson’s ratio signs (Draft 1)

description: O-Type and X-Type rectangular-cell metamaterial honeycombs with computed thermal strains, coefficients of thermal expansions (CTE) and Poisson's ratio.
DOI: 10.17632/kkphjfg2rh.1
title: Objective sample collection

description: Sample collection of dairy products from Brazil and from the UK. Food packages must communicate mandatory information, but they can also be used for marketing practices such as promotion and are a communication pathway from industry to consumer. Considering that cows are the main beings affected by the dairy industry, it is essential to scrutinise what dairy product packages convey about them. The aims of this study are to analyse the occurrence of reference to cows on the packaging of dairy products in popular supermarket retail stores in Brazil and the United Kingdom for discussing ethical implications of promotional practices of dairy producers.
DOI: 10.17632/zdztw47shy.1
title: Matrix of body composition and proportionality of elite and sub-elite Chilean soccer players

description: Anthropometric characteristics of elite and sub-elite Chilean soccer players
DOI: 10.18154/rwth-2019-03562
title: Survey-Based Personas for a Target-Group-Specific Consideration of Elderly End Users of Information and Communication Systems in the Health-Care Sector
title: Datenbasierte Personas älterer Endbenutzer für die zielgruppenspezifische Entwicklung innovativer Informations- und Kommunikationssysteme im Gesundheitssektor

description: In the following, eight long and eight short descriptions of survey-based personas can be found in German and English language.
DOI: 10.24431/rw1k31w
title: Seasonal habitat use and productivity of three commercially important Rockfish species in the Gulf of Alaska, 2012-2014

description: This study examined the value of bare, high relief rocky/boulder, and high relief coral habitat for three commercially important rockfish species. The density of rockfish found within these habitats was investigated as well as pelagic prey availability, diet content, reproductive productivity, and energetic content of these fishes. The contribution of specific habitat types to the productivity of many rockfish species within the Gulf of Alaska remains poorly understood. The study area for this project was in the Albatross Bank region of the Gulf of Alaska where samples were collected using both drop camera image analysis and modified bottom trawls. We utilized an underwater stereo drop camera (SDC) system to examine habitat associations, community structure and density within these areas and bottom trawl to collect biological samples. In order to examine differences in diet diversity, energetic content and reproductive success; stomach, ovary, and whole fish samples were collected at each habitat within each sampling site. Data in this collection include energetic content, diet diversity, zooplankton type, trawl tow statistics, reproductive productivity, video (density of species) and an analysis of rockfish parts. 

Data are presented as eight CSV files: 

Energetic_Data.csv
Diet_Data.csv
Zooplankton_Data.csv
Trawl_Data.csv
Reproduction_Data.csv
Video_Species_Data.csv 
Parts_Data.csv
DOI: 10.17632/c5yvn32dzg.1
title: RoCoLe: A robusta coffee leaf images dataset

description: The dataset contains 1560 robusta coffee leaf images with visible mites and spots (denoting coffee leaf rust presence) for infection cases and images without such structures for healthy cases. In addition, the data set includes annotations regarding state (healthy and unhealthy) and the severity of disease (leaf area with spots).
DOI: 10.17632/d9zc7knxdz.1
title: Sharing Economy Logistics

description: Locations, trips, and travel times for the simulation of an integrated item-sharing and crowdshipping platform in Atlanta, Georgia, US. Further information is provided in Description_of_files.html.
DOI: 10.17632/nt73j8wpg2.1
title: Recombinant Infectious Bronchitis Coronavirus H120 with the Spike Protein S1 Gene of the Nephropathogenic IBYZ strain Remains Attenuated but Induces Protective Immunity

description: The data uploaded in this article was analyzed by Graphpad prism 7.0 software, including original data, statistical analysis and generated images.
DOI: 10.18716/nmrshiftdb2/20200142/rub_cdcl3
title: RUB NMR dataset for (RS)-2-(4-Isobutylphenyl)propionic acid; (RS)-2-[4-(2-Methylpropyl)phenyl]propane acid; Ibuprofen; isobutylphenylpropionic acid in Chloroform-D1 (CDCl3)
DOI: 10.18716/nmrshiftdb2/20200142/sdbs_cdcl3
title: sdbs NMR dataset for (RS)-2-(4-Isobutylphenyl)propionic acid; (RS)-2-[4-(2-Methylpropyl)phenyl]propane acid; Ibuprofen; isobutylphenylpropionic acid in Chloroform-D1 (CDCl3)
DOI: 10.14457/tu.the.2017.1725
title: Characteristic of overweight women and their physical and psychological desires

description: The proposed research aimed to identify the characteristics of overweight women with BMI above 23, and their physical and psychological desires for weight loss challenge. It further examined the differentiation of overweight women from each segment in the market in order to imply the attractiveness of each segment. This research classified overweight women into segments to explore their profile, demographically and behaviorally, in order to introduce program or package corresponding with their needs. The research implication were intended to be beneficial to Health and Fitness Industry to attract their appropriate target market. Qualitative and quantitative research analysis were the methodology to help achieving the objective mentioned above. Under qualitative part, credible sources of women testimonials who succeeded in weight loss and maintain their BMI under 23 will be examined via in-depth interview. It was conducted to gain firsthand knowledge of prior overweight women, behavior and attitudes towards their weight loss journey. The insights on the transformation and findings was used as a basis to develop the questionnaire. Under quantitative part, an online questionnaire was employed to identify characteristics of current overweight women in the area of their physical & psychological desires, contribution to fitness service and day-in-life behavior in particular in order to describe the attractiveness of each segment. Due to time constraint, the sampling method used convenient sampling in the form of non-probability. Data analysis was focused on key insights obtained from in-depth interviewee and statistical data from survey results, the latter using the Statistical Package for the Social Sciences (SPSS).
DOI: 10.17632/wwrkpr9gcx.5
title: LA-ICP-MS apatite fission track, apatite U-Pb, and electron probe micro-analysis data for the Canadian Shield

description: LA-ICP-MS apatite fission track age and length data, U-Pb apatite data, and electron microprobe (EPMA) data (in oxide weight %) from the Canadian Shield, Canada. Files also include age/length grain spatial locations for matching duplicate age/length grain EPMA analyses. The supplementary data files are Microsoft Excel .xlsx format and contained in a compressed .zip folder with a directory structure and contents as follows: Folder “AFT-UPb” contains the raw LA-ICP-MS apatite fission track age and length data. The raw apatite U-Pb age data, blanks, corrections, etc. are also included in a separate sheet tab for each sample. All AFT samples are referred to by their analytical number, e.g. 248-09 and their sample number 11CXAN017, for all other data in the “EPMA” and “Grain-Locations” folders each grain is referred to by analytical number only, and whether it is an age or length grain. Folder “EPMA” contains the electron microprobe data with the OH estimation included in weight percent oxide format. These data can be converted to apfu and their respective rmr0 values determined using either the Carlson et al. (1999) or Ketcham et al. (2007) equations (see main text for details). Folder “Grain-Locations” contains the x-y coordinates for each age and length grain that was probed for each sample. The grains are flagged if they are duplicate measurements, i.e. the EPMA measurement for age grain 1 is also the same measurement for length grain 15. This is determined by distance of 0 to 10 microns (green) and 10 to 50 microns (orange). The “Correlation-Matrices” folder contains a table of the correlation coefficients for the top 20 elements in each sample for age grain data only, including eU and OH. There are also PDF files for each sample of the matrices at the 0.05 and 0.01 confidence levels. HeFTy model (Ketcham, 2005) input files with float values for all AFT data, e.g. Ns, A, Pcorr, error, U, Dpar, etc. Additional PDF files explaining the GeoSep AFT+UPb methodology and age calculations
DOI: 10.18112/openneuro.ds000172.v1.0.1
title: Physiological Contribution in Spontaneous Oscillations: An Approximate Quality - Assurance Index for Resting-State fMRI Signals
DOI: 10.25828/mjb4-c628
title: Continuous Multi-Purpose Household Survey 2010
DOI: 10.25345/c5tw66
title: MassIVE MSV000083791 - Cheese culture extracts 20190516
title: Small molecule analysis of cheese culture extracts, standard methanol extraction; iron limitation and additions. Data were acquired using a Thermo Q Exactive and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
DOI: 10.25606/surf.578c6039-6ebb4551
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-676)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 676 of the 2048³ resolution collection.