cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5dpc5gbgpz.2
title: Tobacco Aerial Dataset

description: To capture aerial dataset of tobacco and weed, a Mavic Mini drone was employed.
Between the ages of 15 and 40 days, eight tobacco fields in Mardan, Khyber Pakhtunkhwa, Pakistan, were photographed. The dataset is captured at an average altitude of 4 metres and a ground sampling distance of 0.1 cm per pixel.
Pictures were captured for both datasets at a resolution of 1920 × 1080 pixels, however for faster processing, we cropped non-overlapping images to a size of 480 x 352 pixels. Using the MATLAB Image Labeler app, we labelled the photos by hand. A label image in 8-bit unsigned grayscale is produced by the software. The depicted image has the pixel values 0, 1, and 2 assigned to the background, crop, and weed, respectively. Since there are no aerial dataset available publicly to the best of our knowledge, these datasets could be utilized to support further research for Tobacco crop.
Tobacco dataset is captured in eight different drone fly campaigns on eight different fields as shown in table below.

Campaign No.	Number of images	     Timing Around/ Date Captured	Soil Condition
1	                         864	                             2:30pm/09April 21	                        After irrigation
2	                         936	                             3:30pm/07April 21	                        Before irrigation
3	                         120	                             3:38pm/07April 21	                        After irrigation
4	                         120	                             5:52pm/07April 21	                        Before irrigation
5	                         120	                             6:33pm/07April 21	                        After irrigation
6	                         120	                             3:27pm/09April 21	                        After irrigation
7	                         120	                             3:43pm/09April 21	                        Before irrigation
8	                         120	                             3:59pm/09April 21	                        After irrigation

Citation Request: if you use these datasets in your research or projects by any means, please cite following publications. 
1) Patch-wise weeds coarse segmentation mask from aerial imagery of sesame crop
(Published in Computers and Electronics in Agriculture 2022, HEC Recognized W category, Impact factor 6.757, Q1)
2) Towards automated weed detection through two-stage semantic segmentation of tobacco and weed pixels in aerial Imagery 
(Published in Smart Agricultural Technology (A companion journal of Computers and Electronics in Agriculture))
3) A Patch-Image Based Classification Approach for Detection of Weeds in Sugar Beet Crop
(Published in IEEE Access, Impact factor 3.1, Q1)

Acknowledgement Request
This work is funded by the Higher Education Commission of Pakistan and the National center for Robotics and Automation (DF-1009–31). Please Acknowledge.

Find More data  and research papers in related links attached.
DOI: 10.17632/sp367z97n2.1
title: CyFi predictions in Funil Reservoir in 2023

description: This dataset was derived from readings obtained using the open-source software CyFi, which utilizes satellite imagery and machine learning to estimate cyanobacterial cell density in the Funil Reservoir, located in the state of Rio de Janeiro, Brazil. The research hypothesis is to determine whether cyanobacterial cell counts estimated by the software align with results from previous studies conducted at this site, as well as to compare the outcomes with satellite imagery of the same region during the same period.

Notably, statistical analyses (GAM) of this dataset reveal that cyanobacterial cell concentrations are higher in the southwestern areas of the reservoir, corresponding to the inflow region. Additionally, cell concentration varies across different times of the year, reflecting temporal fluctuations in cyanobacterial density.
DOI: 10.17632/x63r376783.2
title: Charting By Machines

description: This dataset contains the data and code, along with instructions for running the code, necessary to replicate Charting By Machines by Scott Murray, Yusen Xia, and Houping Xiao.
DOI: 10.17632/3fwc3twwn6.1
title: Kilby's instances for Dynamic Vehicle Routing Problem

description: The data set consists of 22 Dynamic Vehicle Routing Instances, created by Kilby and Montemanni from the static instances of Christofides, Taillard and Fisher. Each file consists of a set of locations, with their X and Y coordinates, cargo demand and appearing time.
DOI: 10.17632/x7j8fxcg4j.2
title: Geological CO2 Storage Capacity in Aquifers in Saudi Arabia

description: 
Carbon capture and storage (CCS) is crucial for Saudi Arabia's net-zero goal by 2060. The provided data provide an estimate of CO2 storage capacities in Saudi Arabia's sedimentary basins, incorporating data from public sources. We assessed 17 basins for CO2 storage in deep saline aquifers. Eastern basins, including Eastern Arabian Basin and Interior Homocline-Central Arch, are most suitable, while Western Saudi Arabia has fewer favorable basins, except Umm Luj, Yanbu, and Jeddah basins. The adopted methodology to estimate the potential capacity corresponds to the “effective storage capacities”, as outlined by the Carbon Sequestration Leadership Forum (CSLF). These estimates take into consideration technical, geological, and engineering constraints. However, to obtain a practical storage capacity estimate, it is essential to incorporate societal, economic, and regulatory factors that are not considered in this work. Therefore, further research is necessary, including prospect-level evaluations that involve drilling, testing evaluation, and monitoring wells.
The details are published in “Evaluation of Geological CO2 Storage Potential in Saudi Arabian Sedimentary Basins”, Earth-Science Reviews, 
by Jing Ye, Abdulkader Afifi, Feras Rowaihy, Guillaume Baby, Arlette De Santiago, Alexandros Tasianas, Ali Hamieh, Aytaj Khodayeva, Mohammed Juaied, Timothy Meckel, Hussein Hoteit*
*Corresponding author: hussein.hoteit@kaust.edu.sa
DOI: 10.17632/236pjzsn52.1
title: Data for: Chemical constituents, biological activities and structure-activity relationship from the leaves of Macaranga heynei I.M. Johnson

description: The data contains 1D & 2D NMR, UV-Vis, FTIR and MS analyses of new compounds.
DOI: 10.17632/sv4kj37992.1
title: Data for: 3D reconstruction of volcanic and ore-forming environments of a giant VMS system: A case study from the Kidd Creek Mine, Canada

description: The supplemental dataset contains underground maps (Appendix A), petrographic analyses (Appendix B), geochemical analyses (Appendix C) and details of how the NR was ‘unfolded’ in the reconstruction (Appendix D).
DOI: 10.17632/k46nfbc8s5.1
title: Pakistan Panel Tracking Survey

description: Data are drawn from the Pakistan Panel Tracking Survey (PPTS) conducted in Pakistan during September 2013 – July 2014, which tracked individuals last surveyed in 1991 as part of the International Food Policy Research Institute's (IFPRI's) Pakistan Panel Survey (PPS) (1986 – 1991). Includes information on migration, household composition, demographic characteristics, education, assets, consumption, subjective well-being, and aspirations.
DOI: 10.17632/858352hkxh.1
title: Code for "The Big Three and Board Gender Diversity: The Effectiveness of Shareholder Voice" paper

description: The enclosed code produces the figures and tables reported in the paper. Instructions are provided in the "readme.txt" file. The data sources are described in the paper.
DOI: 10.17632/8dvx3vvvk9.1
title: A dataset of stem reflectance spectra for standing dead Scots pine trees

description: The methods used to collect and preprocess this dataset have been reported in detail in Juola J., Hovi A., Rautiainen M., 2022. A spectral analysis of stem bark for boreal and temperate tree species. Ecology and Evolution. DOI:10.1002/ece3.8718

The dataset includes stem reflectance spectra of standing dead trees for the species of Scots pine (Pinus sylvestris L.). We measured hemispherical-directional reflectance factors (HDRF) of stem samples. The data were measured using a Specim IQ imaging spectrometer. The measurements were taken from the northern side of the stem at breast height (1.3 m), and the image acquisition distance was 20 cm. The imaging spectrometer operates in the visible and near-infrared wavelength region (400–1000 nm). The measurements were made in the municipality of Rovaniemi, Finland. We measured 13 standing dead Scots pine trees, accounting to a total of 13 unique stem samples. One sample refers to a hyperspectral reflectance image taken of a single standing dead tree stem (at 1.3 m height). The 13 mean spectral signatures (presented in this dataset) were calculated for each sample by averaging the HDRF values over all pixels per wavelength. The measurements were conducted in the beginning of August 2022. All measurements were made under diffuse illumination conditions and the images were taken in perpendicular view-angle to the standing stem. The dataset includes 1) one tabular file that contains all 13 mean reflectance spectra, and 2) a supportive document that has images of the individual standing dead trees and RGB visualizations of the measured hyperspectral reflectance images.

The spreadsheet (.csv) is organized as follows: first two rows that start with hashtag (#) contain comments for citing, first column "tree_species" (standing_dead_tree_pinus_sylvestris) indicates the standing dead tree species, second column "id" (K1-K13) indicates the unique stem id's for which images can be found in the supportive document, and the subsequent columns "wl397.32"-"wl1003.58" indicate the measured HDRF value at that wavelength. The encoding of the csv file is UTF-8. 

The supportive document (.pdf) contains the dataset description given here, but also images of the standing dead trees taken in the forest and their corresponding RGB visualizations of the measured hyperspectral reflectance images. The Diameter at Breast Height (DBH) are given for each stem in the figure descriptions.

If you use this dataset, please cite:
Juola, J., Rautiainen, M., 2022. A dataset of standing dead tree stem reflectance spectra for Scots pine. Mendeley Data, V1, doi: 10.17632/8dvx3vvvk9.1

Funding: Academy of Finland (ARTISDIG, grant number: 348152)

Acknowledgments: We thank Veli Juola and Erkki Tuovinen for assistance in the field campaign.
DOI: 10.17632/ycjd7mdsbs.1
title: Facial Recognition Dataset FULL (part 2 of 4)

description: Includes face images of 11 subjects with 3 sets of images: one of the subject with no occlusion, one of them wearing a hat, and one of them wearing glasses. Each set consists of 5 subject positions (subject's two profile positions, one central position, and two positions angled between the profile and central positions), with 7 lighting angles for each position (completing a 180 degree arc around the subject), and 5 light settings for each angle (warm, cold, low, medium, and bright). Images are 5184 pixels tall by 3456 pixels wide and are saved in .JPG format.
DOI: 10.17632/byk5t7jv2j.1
title: Temperature, NDVI and vegetation data from NCC restoration areas in Norfolk County, Ontario

description: This dataset contains all data used in the manuscript by Hamberg, Fraser, Robinson, Trant and Murphy. The hypotheses is that surface temperature will decrease with increasing vegetation diversity, that native diversity is better at decreasing temperature and that surface temperature will decrease over time in restoration areas. We find support for all three of these hypotheses. The dataset contains one xls-file with multiple sheets. A summary of the sheets are presented below: 1. "LEF_veg_data_by_plot_2007-2018" - Includes all vegetation data used in the manuscript. This is a subset of all vegetation data provided by Nature Conservancy of Canada. Any missing data points have been removed and species richness and diversity only include when species were identified to species level. For the full dataset of all sampling done at the site contact me and I can put you in contact with the appropriate NCC staff to get permission to share. 2. "LEF_veg_temp_data_means" - The same data as above but taking the means of each plot transect. Mean relative surface temperature (TempPerM) and mean relative NDVI (NDVI_diff) is also included in this sheet. This data is what underlies the testing of the first and second hypotheses. The 'Type' column indicates if transect was in Active or Passive restoration. 3. "LEF_tempdata" - All temperature data used from the Lake Erie Farms site, including that of the mature forest reference areas. 4. "LEF_NDVIdata" - As above but for NDVI instead of temperature. 5. "ECOSTRESS_paired_data" - shows the diurnal temperature variation for the paired measurements from 2018 ECOSTRESS and (one) Landsat measurements (Paired_diff) for each restoration area and the days since restoration for each field. 6. "ECOSTRESS_all_data" - Same data but unpaired and including the second Landsat reading that was removed due to being taken in June, further away from the other readings seasonally. 7. "Temp_31_fields_post_restoration" - the relative temperature (%tempdiff) for all 31 restoration fields over time since restoration, including relative NDVI. Also includes the air temperature, humidity and wind speed from the Delhi, Ontario weather station as near as possible in time to when the image was taken. Also indicates if 100, &gt;90% and &gt;75% of each area was imaged correctly (i.e. no lost pixels or cloud cover within 200 meters of that pixel). Only areas with &gt;75% of pixels remaining in both the restoration area and the paired mature forest area were retained. 8. "Temp_31_fields_pre_restoration" - Same as above but with the data from before restoration for each field. These sheets are divided as the statistical analysis was made separately on the pre-restoration and post-restoration data. 9. "Temp_31_incl_mature" - All data as above but also including temperature of the paired mature forest areas.
DOI: 10.17632/tm988rs48k.2
title: Vestas V52 Wind Turbine, 10-minute SCADA Data, 2006-2020 - Dundalk Institute of Technology, Ireland

description: Multi-annual 10-minute time series raw SCADA data from a Vestas V52 wind turbine at Dundalk Institute of Technology, Ireland (GPS Co-ords: 53.98352, -6.391390).  The period covers from the 30 January 2006 to 12 March 2020. The wind turbine is located in a peri-urban environment and operates as a behind-the-meter system. The wind turbine has a hub height of 60 m and a rotor diameter of 52 m.  (It should be noted that a gearbox changeout took place in the period from 04 October 2018 to 27 July 2019 for which there is no positive electrical power output)
DOI: 10.17632/y6rx9pksbs
title: QLOP

description: Instances of size n=10,...,20 for different densities d=10,20,...,90, as a percentage of the number of nonzero objective coefficients. All such nonzero coefficients were randomly generated in Python as integers following a uniform distribution in the interval [-100,100].
DOI: 10.17632/b9hdy2swyy.1
title: Dataset of college student's green purchase intention and behavior  

description: This primary data was collected from college students in a major educational institution in North India to examine the green purchase behavior of respondents. A total of 253 responses were collected on various constructs associated with green purchase behavior. The survey was administered in class-room settings using a structured questionnaire. Seven-point Likert scale (where 1=strongly disagree and 7=strongly agree) was used to elicit respondent's response on various constructs such as attitude towards green products, subjective norms, perceived behavioural control, environmental concern, ethical obligation, green purchase intention and green purchase behavior. The data also consists of demographic information such as gender, age and marital status. The data was used to empirically test the proposed research model using structural equation modeling.
DOI: 10.17632/r4vwy2j852.1
title: AM Simulation Data 

description: Here we present an AM simulation data generated from Autodesk Netfabb Local Simulation, a non-linear finite element thermo-mechanical solver for additive manufacturing (AM) processes. The dataset contains two simulation trials based  on Ti-6Al-4V material under various processing conditions. The simulation software generates fine-scale thermal data of laser scanning path and corresponding mechanical properties data across all time frames. Each dataset contain timestep folders and all related thermal and mechanical properties data can be found within timestep folders.
DOI: 10.17632/zt3wmhdvg3.2
title: Data on Adverse Childhood Experiences, Anxious Working Models of Attachment, and Somatic Symptoms in A Sample of College Students 

description: The raw data file (.csv) titled, “Raw data on ACEs, attachment working models, and somatic symptoms” contains self-report survey responses from a sample of 691 college students aged 18 or older.  After removing participants with missing data, a total of 662 participants (477 females and 185 males) (Mage = 20.7, SDage = 4.0) were included in the results of analysis reported here. In addition to demographic information, the main study variables included adverse childhood experiences (ACEs), attachment working models, and somatic symptoms. Table 1 shows the descriptive statistics of the main study variables by gender and gender differences in the three main study variables. Bivariate correlations of the three main study variables are also presented in Table 1. Table 2 summarizes the percentage associated with each category of ACEs and gender differences in the percentages of different categories of ACEs. Table 3 displays the results for multiple regression analysis, with Step 1 testing the main effects of ACEs and attachment anxiety and Step 2 testing the moderating role of attachment anxiety in the association of ACEs with somatic symptoms. Gender was controlled in both steps of analysis. Figure 1 unpacks the significant interaction and reveals the influence of ACEs on somatic symptoms at low (-1SD below the mean), mean, and high (+1SD above the mean) levels of attachment anxiety.
DOI: 10.17632/g3kp7yt2m5.2
title: Optimal electric vehicle charging station allocation

description: Despite the environmental and economic benefits of Electric Vehicles (EVs), distribution network operators will need to understand the location where the charging infrastructure will be placed to ensure EV users’ needs are met. In this sense, this work proposes a methodology to define the optimal location of EV semi-fast charging stations (CS) at a neighborhood level, through a multi-objective approach. It applies a hierarchical clustering method to define CS service zones, considering technical and mobility aspects. Besides, it considers uncertainties related to the EV load profile to determine the CS capacity, based on the user’s charging behavior. A Pareto Frontier method is deployed to support the decision-making process on CS optimal location, considering utility and EV users’ preferences. The results indicate that the best CS locations for mid-term EV penetration can also fit into long-term planning, with higher EV charging demand. Thus, these locations would be good candidates for the power utility to make initial investments, in both planning horizons. A real distribution system case is used to demonstrate the applicability of the results.
DOI: 10.17632/sy828c7v85.2
title: Imported Intermediate Goods and Product Innovation

description: This page shares the supplementary package for the article titled “Imported Intermediate Goods and Product Innovation”
DOI: 10.17632/t7fvdmfpzm.1
title: POI data sets

description: This is a set of POI data sets of Shenzhen, Guangzhou, Beijing, and Shanghai cities, China.
DOI: 10.17632/gh56wbsnj5.1
title: Coconut Tree Disease Dataset

description: The "Coconut Tree Disease Dataset" is a comprehensive collection of 5,798 labeled images, encompassing five distinct disease categories prevalent in coconut trees: "Bud Root Dropping," "Bud Rot," "Gray Leaf Spot," "Leaf Rot," and "Stem Bleeding."
DOI: 10.17632/jcxyxj8279.1
title: Supplemental Table 1: Rates of poor outcomes in primary, non-metastatic CSCC stratified by BWH and AJCC 8 stage in the overall cohort

description: This table display the rates of poor outcomes stratified by tumor stage for all primary, non-metastatic tumors that underwent curative therapy in this multi-center, multinational cohort of cutaneous squamous cell carcinomas. The rates of local recurrence, nodal metastasis, satellitosis/in-transit metastasis, distant metastasis, and disease-specific death increased significantly with higher tumor stage using both Brigham & Women’s Hospital (BWH) and American Joint Committee on Cancer 8th edition (AJCC 8) staging systems.
DOI: 10.17632/36mbrgczc3.3
title: Flower Waste Utilization Training

description: Abstract: An economic increase in a city that is getting better, has an impact on visiting tourist areas in a city and its surroundings. Bandung city which has many tourist destinations, making the tourist destination increase tourists and increase the activity and the need for consumptive products including agro products. through the activities carried out, we convey how to process flower waste owned in the Cihideung village area with agro-industrial techniques into solid soap, so that flower waste can be utilized properly.
DOI: 10.17632/sxf9kkb6t2.3
title: Survey Data on Bullying Involvement among School-going Adolescents in India

description: The data was collected from 169 school-going adolescents of grades six to twelve from two cities in South India. The survey forms comprised the demographic profile sheet, Adolescent Peer Relations Questionnaire (Parada, 2000), and Online Victimization Scale for Adolescents - General Online Victimization subscale (Tynes et al., 2010). The Adolescent Peer Relations Questionnaire by Parada (2000) consists of 36 items to assess bullying experiences in the past year of school life. It is used to measure bullying and victimization experiences across three dimensions that are physical, verbal, and social. Each of the six subscales in this questionnaire is measured with six items. The Online Victimization Scale for Adolescents by Tynes et al. (2010) consists of 21 items across four subscales, general online victimization, sexual online victimization, individual online racial discrimination, and vicarious online racial discrimination. The present data set used the General Online Victimization subscale which consists of eight items.
DOI: 10.17632/dscpk8p2dy.1
title: Data for: Exploring records of Saharan dust transport and hurricanes in the western North Atlantic over the Holocene

description: This data is a correlation analysis between a published dust optical depth record from Cape Verde since roughly 1850 years and the HURDAT2 database of tropical cyclones (annual counts of named storms, hurricanes, major hurricanes and accumulated cyclone energy are used).