cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/skf6w2s2h2
title: Local Spinach Leaf Dataset

description: 1. The Significance of Local Spinach in Horticulture and Fresh and Non Fresh Challenges.
In the horticulture industry, local Spinach leaves are highly valued for both their aesthetic value and economic significance. However, several that might harm these plants' well-being and productivity sometimes act as a barrier to their cultivation. Accurate and timely leaf Fresh and Non Fresh detection is necessary to lower these risks. The Local Spinach Leaf Dataset was developed in answer to this need, assisting scientists, horticulturists, and machine learning experts in identifying and classifying that affect local Spinach leaves. This collection includes high-resolution images of local Spinach leaves that display both healthy and diseased specimens. Notable ailments found in the dataset include Malabar spinach, water spinach, and red spinach that is not fresh. The dataset is further enhanced by the addition of metadata that provides vital contextual information about the locations and weather at the time of image capture. This contextual data enhances prediction model accuracy and is critical to understanding the mechanisms behind the onset of leaf Fresh and Non Fresh.
2. The Role of Deep Learning and Computer Vision.
There are several chances for classification and detection tasks in the local spinach leaf disease dataset that can be handled by contemporary deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in local Spinach Fresh and Non Fresh Classification.
This dataset was produced specifically to support the development of advanced deep learning models. The dataset's classifications were created in collaboration with subject matter experts from a prestigious agricultural university to guarantee accuracy and relevance. 
4. Data Collection and Augmentation.
 3999 Pictures were taken at the Maharabaha, kaliakoir location in Gazipur, Dhaka, Bangladesh. Examples of red Spinach fresh and non-fresh, Water Spinach fresh and non-fresh, and Malabar Spinach fresh and non-fresh were displayed in these pictures. To improve the dataset and expand the number of available data points, 2495 augmented images were created from the original photo collection. These improved samples were produced using a number of techniques, including flipping, rotating, shearing, brightness modification, and magnification.
DOI: 10.25422/azu.data.20736700.v5
title: Plant and Animal Phenophase Definitions

description: The USA National Phenology Network’s (USA-NPN) standardized phenology monitoring protocols were designed to capture the seasonal life cycle stages of plants and animals across polar, temperate, tropical, and water-limited ecosystems. The protocols can be tailored to any sampling density or frequency and can be used either within the <em>Nature’s Notebook</em> observation program, or independently. The resulting data can be used to answer a variety of scientific and management questions from local to continental scales. The protocols are specific to major taxonomic groups and consist of a suite of “phenophases”. A phenophase is an observable stage or phase in the annual life cycle of a plant or animal that can be defined by a start and end point. For plants, phenophases identify the presence or absence of structures (e.g., leaves, flowers, fruits) on an individual plant that is observed repeatedly over the course of one or more growing seasons. For animals, phenophases identify the presence or absence of behaviors such as breeding, migration, and use of food resources. Intensity or abundance measures for each phenophase indicate the degree to which the phenophase is expressed. They represent either an estimate of the number of plant structures or individual animals that are present or engaged in a behavior, or an estimate of the percentage of plant structures observed in a particular state (e.g., percent of flowers that are open). In this Plant and Animal Phenophase Definitions document, the phenophases in use for major plant and animal taxonomic groups are summarized in tables, and the full phenophase definitions and associated intensity or abundance measures are included in subsequent sections. The multiple files represent updates over time to reduce confusion in the phenophase definitions, include new taxonomic groups, and expand protocols to more fully capture certain life cycle stages. Be sure to use the most current version of the file. Also note the version number for this record does not necessarily correspond to the version number of the most recent Definitions file. <br> <em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</em>
DOI: 10.6084/m9.figshare.28588727.v1
title: GIS electron density variations During the 2024 Mother's Day storm

description: <b>This dataset is stored in MATLAB (.mat) format and contains electron density variations around the ion hole center during the 2024 Mother's Day storm.</b><b>Dataset Variables</b><b>Electron Density Variation Over Time</b><b>GIS_Ne_variation.Ne</b>: Electron density around the hole center at different times.<b>GIS_Ne_variation.Localtime</b>: Corresponding local time in the format <b>[year month day hour minutes seconds]</b>.<b>GIS_Ne_variation.Altitude</b>: Altitude levels corresponding to <code>Ne</code>.<b>Electron Density Profiles at Specific Locations</b><b>GIS_Ne_profile.Hole</b>: Electron density at the hole center at <b>21:00 LT on May 10, 2024</b>.<b>GIS_Ne_profile.Hole_reference</b>: Reference electron density at the hole center at <b>21:00 LT on May 9, 2024</b>.<b>GIS_Ne_profile.West_Hole</b>: Electron density <b>120° west</b> of the hole center.<b>GIS_Ne_profile.East_Hole</b>: Electron density <b>120° east</b> of the hole center.<b>GIS_Ne_profile.North_Hole</b>: Electron density at <b>60°N along the hole longitude</b>.<b>GIS_Ne_profile.South_Hole</b>: Electron density at <b>-60°N along the hole longitude</b>.<b>GIS_Ne_profile.altitude</b>: Altitude levels corresponding to the profile data.<br>
DOI: 10.17632/r5tfvj35p3
title: Data for: Adolescent Aggression and Violent Video Games: The role of moral disengagement and parental rearing patterns

description: Data for: Adolescent Aggression and Violent Video Games: The role of moral disengagement and parental rearing patterns boys=1, girls=2.
DOI: 10.17632/v9c852hkzd
title: Impact of Windfall Tax on Market Dynamics: A Cournot Oligopoly Model with Exogenous Shocks

description: This dataset accompanies the paper " Impact of Windfall Tax on Market Dynamics: A Cournot Oligopoly Model with Exogenous Shocks," which investigates the nuanced effects of windfall taxes on market equilibrium. Utilizing the Cournot oligopoly model and the 0-1 test for chaos, the research analyzes how profit taxation influences market stability and competition under bounded rationality. The findings suggest that while higher taxes can mitigate collusion and promote competition, they have varying impacts on markets depending on their stability states. The dataset enables the replication of our analysis, providing detailed information on the simulation parameters and code used in our study.

Usage:
This dataset is intended for researchers, economists, and policymakers interested in the effects of windfall taxes on market equilibrium within an oligopoly framework. It provides a foundation for further exploration of tax policies and their implications for market stability and competition.
DOI: 10.6084/m9.figshare.5106580.v5
title: Evaluated data

description: This data contains the evaluated results from the 5 experiments as defined by the guideline document from CPTAC Assay Portal.Worksheet a: Experiment 1Worksheet b: Experiment 2<br>Worksheet c: Experiment 3<br>Worksheet d: Experiment 4<br>Worksheet e: Experiment 5<br>
DOI: 10.17632/yhj6nb7fcv
title: Detection of 11 Carbamate Pesticide Residue in Camel Milk

description: Supplementary Tables (S1-S3) and Figure S1
DOI: 10.17632/7nzrcrvzmk
title: MARHYD: Magdalena River Hydrodynamic model in Delft3D. Results of Case 2 (water velocity)

description: This database contains output files of MARHYD: the MAgdalena River HYdrodynamic model in Delft3D. Model description: The model domain of MARHYD extends from coordinates 10.9619 °N to 11.2669° N and from 74.7571 °W to 74.8784 °W. This domain includes the last 22 km of the river and estuary before discharging into the Caribbean Sea and 63 km by 37 km of the surrounding coastal region in east-west and north-south directions. In oceanic waters, the model is rectangular, configured on a 150 m x 150 m horizontal resolution near the open boundaries, with a gradual refinement to 50 m x 50 m near the river mouth. In the river and estuary, the model is curvilinear, with 10 horizontal cells in the transversal section, reaching a variable size between 40 m to 100 m. 40 Z-layers represent the water column with a higher resolution close to the surface. Layers of approximately 0.5 m cover the upper 10 m of the water columns, where most of the mixing processes between the river and the ocean occur. The vertical resolution reduces progressively from 10 m depth to the bottom. The boundary conditions of salinity and currents with the Caribbean Sea (at the North, East, and West) were obtained from HYCOM + NODA reanalysis every 6 hours, and wind velocity was obtained from CFSR-NCEP/NCAR reanalysis every 1 hour for the wind stress. The bathymetry was derived from GEBCO, Nautical charts of the Maritime Directorate of Colombia (DIMAR), and high-resolution in-situ measurements. River discharge data were obtained from the nearest upstream hydrological station of the Magdalena River. The model was calibrated and validated using field data of salinity profiles along the river estuary and plume, velocity measurements in the river and estuary, and water level in the estuary for two climatic seasons. Description of simulation case: Case 2 corresponds to a mid-discharge scenario with Q = 6800 m^3/s, equivalent to the 50th percentile of the historical freshwater flow. Water currents, salinity and water level in the open boundaries correspond to the time-average of HYCOM Reanalysis database for the dates between 9th and 29th of November of 2017. Winds are constant with a speed of 11.3 m/s from the Northeast. The full set of input (configuration) files of this simulation can be found in the dataset: Álvarez-Silva, Óscar; Barros, Yennis ; Saavedra, Victor; Cardona, Yuley; Cáceres-Euse, Alejandro; Osorio, Andres F.; Arbeláez, Felipe (2021), “MARHYD: Magdalena River Hydrodynamic model in Delft3D. Inputs of cases 1 and 2”, Mendeley Data, V2, doi: 10.17632/hmhdvg47kg.2 Files description: This dataset includes the water velocity results for the entire computational domain, every 8 hours, during 20 days of simulation. ​ The data are in .nc format. Results of salinity and water level for this simulation case can be found in the database: MARHYD: Magdalena River Hydrodynamic model in Delft3D. Results of Case 2 (salinity and water level), doi: 10.17632/r99xkp2czc.2
DOI: 10.17632/m68gpy66yy
title: Genome-wide RNA structure changes during human neurogenesis modulate gene regulatory networks. Wang Jiaxu et al

description: The distribution, dynamics and function of RNA structures in human development is under-explored. Here, we systematically assayed RNA structural dynamics and its relationship with gene expression, translation and decay during human neurogenesis. We observed that the human ESC transcriptome is globally more structurally accessible than differentiated cells; and undergo extensive RNA structure changes, particularly in the 3’UTR. Additionally, RNA structure changes during differentiation is associated with translation and decay. We observed that RBP and miRNA binding is associated with RNA structural changes during early neuronal differentiation and splicing is associated during later neuronal differentiation. Further, our analysis suggest that RBPs are major factors in structure remodeling and co-regulate additional RBPs and miRNAs through structure. We demonstrated an example of this by showing that PUM2-induced structure changes on LIN28A enable miR-30 binding. This study deepens our understanding of the wide-spread and complex role of RNA-based gene regulation during human development.
DOI: 10.17632/zmj566r6m4
title: Trace elements in zircon record the multi-step buildup of Archean protocontinental crust in the Barberton Greenstone Belt

description: Supplementary Material 2: Trace and rare earth element data from the SUMAC SHRIMP-RG facility.
Supplementary Material 3: Lu-Hf isotope data from the LaserChon Lab
Supplementary Material 4: O isotope data from the GFZ Potsdam
Supplementary Material 5: All accepted data used in publication
DOI: 10.6084/m9.figshare.11726517.v6
title: CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets.

description: This is the release of the detailed building operation data, including electricity consumption and indoor environmental data, of the seven-story 11,700m2 office building located in Bangkok, Thailand. The electricity consumption data (kW) are that of individual air conditioning units, lighting, and plug loads in each of the 33 zones of the building. The indoor environmental sensor data comprise temperature (degree C), relative humidity (%), and ambient light (lux) measurements of the same zones. The entire datasets are available at one-minute intervals for the period for 18 months from July 1, 2018, to December 31, 2019. <br>
DOI: 10.17632/zxzgp65bx5
title: PJ34 protects hair cells from cisplatin‐induced ototoxicity in vitro: possible relation to inhibition of PARP-1-AIF-mediated parthanatos

description: PARP inhibitor PJ34 exerts anti-inflammatory and neuroprotective effects by regulating parthanatos. The objective of this study was to investigate the protective effects of PJ34 on auditory cells against cisplatin-induced injury as well as to explore the potential mechanisms involved in its action. Flow cytometry, immunofluorescence staining, Western blot, Mitochondrial membrane potential (MMP) assay and MitoSox red staining were employed to detect apoptosis, determine the expression levels of cleaved caspase-3, PARP-1, and AIF, measure MMP levels, and evaluate the levels of reactive oxygen species (ROS) in the corresponding HEI-OC1 auditory cells, ovarian cancer cell lines, and mouse cochlear hair cells. Our results demonstrated that exposure to 30 μM cisplatin activated cleaved caspase-3, PARP-1, and induced AIF nuclear translocation, leading to a decrease in MMP and an increase in ROS levels, which induced auditory cell death. Treatment with 2.5 μM PJ34 attenuated the hyperactivation of PARP-1 and nuclear translocation of AIF after cisplatin exposure, rescued the reduction of MMP and ROS accumulation, and thus protected auditory cells from cisplatin-induced cellular damage. Furthermore, PJ34 enhanced the sensitivity of ovarian cancer cell lines to cisplatin treatment. In conclusion, our findings suggest that PJ34 may attenuate cisplatin-induced hair cell death by regulating PARP-1-mediated parthanatos. Interestingly, PJ34 shows promise as a potential novel therapeutic agent for the prevention and/or treatment of cisplatin-induced ototoxicity.
DOI: 10.6084/m9.figshare.28741841.v1
title: Dataset for Review Paper on CT Scan Applications in Geotechnical Engineering

description: This dataset summarizes research articles on the use of X-ray CT in geotechnical engineering, including details on materials, scanning resolution, instrumentation, specimen dimensions, and study goals. It supports the review article titled “Advancing Geotechnical Engineering Through X-ray Computed Tomography: A Review of Applications and Future Directions.
DOI: 10.17632/b33r2dzng8
title: Spectral dataset of grapevine diseases

description: Spectral dataset of grapevine diseases for the project VINIoT. This dataset contains spectra from hyperspectral images of grapevine leaves. 
This dataset contains spectra of healthy leaves and leaves showing a set of symptoms (diseases, dehydration, stress ...).
DOI: 10.17632/5sx796yf3h
title: Capacidades de Governança para a Transformação Digital: Diagnóstico nos Estados Brasileiros e no Distrito Federal

description: Esta base de dados é parte de uma pesquisa conduzida pelo Grupo de Trabalho Conjunto para a Transformação Digital nos Governos Estaduais e Distrital - GTD.Gov, organizado pelo Conselho Nacional dos Secretários de Administração - CONSAD e pela Associação Brasileira de Entidades Estaduais de Tecnologia da Informação - ABEP-TIC. Problema de Pesquisa e Objetivo A transformação digital se baseia em novas (diferentes, inovadoras, disruptivas) estratégias, que usam as TICs como meio. É necessário discutir, portanto, o que a TD representa para organizações públicas. Ela teria o mesmo significado que para organizações privadas? Uma organização pública que tem iniciativas de governo eletrônico já é uma organização que passou pelo processo de transformação? Assim o objetivo deste é estudo é realizar um Diagnóstico de amplitude nacional para identificar as capacidades para a Transformação Digital dos Governos dos Estados Brasileiros e no Distrito Federal Fundamentação Teórica Para este estudo a Transformação Digital no setor público envolve, em termos práticos, uma melhor prestação de serviços aos cidadãos, a redução da burocracia, a extirpação de controles desnecessários, o aumento da eficiência e assertividade dos serviços, iniciativas e processos (MERGEL et al. 2019). O papel das TICs nesse processo é contribuir para a agilidade das operações, da comunicação, na geração de insights para a toma de decisão, e para que as operações sejam mais rápidas, com menos etapas, com menos papel e assim, mais efetivas(Wiedenhoft, Luciano e Pereira, 2019). Referências Bibliográficas Cunha, M.A.V.C. da and Miranda, P.R. de M. 2013. O uso de TIC pelos governos: uma proposta de agenda de pesquisa a partir da produção acadêmica e da prática nacional. Organizações & Sociedade. (2013). DOI:https://doi.org/10.1590/s1984-92302013000300010. Eade, Deborah. Capacity-building: An approach to people-centred development. Oxfam, 1997. Hinings, B., Gegenhuber, T., & Greenwood, R. (2018). Digital innovation and transformation: An institutional perspective. Information and Organization. Juiz, C., Guerrero, C., & Lera, I. (2014). Implementing Good Governance Principles for the Public Sector Wiedenhöft, G.C., Luciano, E.M. & Pereira, G.V. Information Technology Governance Institutionalization and the Behavior of Individuals in the Context of Public Organizations. Inf Syst Front (2019). https://doi.org/10.1007/s10796-019-09945-7 Wiedenhoft, G. C., Luciano, E. M., & Magnagnagno, O. A. (2017). Information Technology Governance In Public Organizations: identifying mechanisms that meet its goals while respecting principles. JISTEM-Journal of Information Systems and Technology Management, 14(1), 69-87. .https:// 10.4301/S1807-17752017000100004
DOI: 10.17632/44zpkbrpxb
title: Credal Dog-4

description: Most datasets used for classification use hard labels. Credal Dog-4 was labeled uncertainly and imprecisely by contributors during crowdsourcing campaigns. Resulting in richer labels, modeled with the theory of belief funtions, which generalizes several reasoning frameworks with uncertainty. These datasets can be used with classical models using hard labels but also with probabilistic, fuzzy or even evidential models.

Dataset:
4 classes, 400 observations, 47 features (or raw pictures)

When using the dataset please cite :
A. Hoarau, C. Thierry, A. Martin, J.-C. Dubois, Y. Le Gall, "Datasets with rich labels for machine learning", in: FUZZ-IEEE, 2023.

Credal Dog-4 dataset
├── data
│ ├── classes.csv: Classes of the dataset
│ ├── X.csv: Features of the dataset
│ ├── X_512.csv: Learge 512 features vector of the dataset
│ ├── X_pictures.csv: Raw features (Pictures themselves)
│ ├── y.csv: Rich labels
│ └── y_true.csv: True labels
└── extra
 ├── y_hard.csv: Hard labels given during a new campaign
 ├── DATA_imperfect.csv: Imperfect answers given during the campaign
 ├── ITERATION_imperfect.csv: Imperfect 2nd step answers given during the campaign
 ├── EVENT_imperfect.csv: Contributors events
 ├── ID_imperfect.csv: Contributors IDs
 └── DATA_perfect.csv: Precise answers given during a new campaign
DOI: 10.17632/f6s2zsvddz
title: An enhanced focal mechanism catalog of induced earthquakes in Weiyuan, Sichuan

description: [updating based on reviews] It includes predictions from PhaseNet+, earthquake, and focal mechanism catalogs based on a local dense seismic array deployed in Weiyuan, Sichuan during 2015-2016.
DOI: 10.17632/fy3csfm7kv
title: Soil chemical elements and ground-surface hydrothermal conditions

description: Wujiaqu2021_Xray.csv: An Olympus Vanta handheld X-ray fluorescence (XRF) spectrometer was used to monitor the internal and external data at the PPP and collect the soil element concentration data in different positions on the PPP panels, on every 10 rows of panels, and at different orientations inside and outside the PPP. 
Wujiaqu2021_TDR.csv: The temperature and humidity of the soil ground surface layer were monitored using an Acclima Sensor Reader Kit (SDI-12).
DOI: 10.17632/24bcvgy4h3
title: Dataset for "On the state - non state theory of hypnosis: network and topological EEG findings."

description: This dataset contains EEG recordings and derived functional connectivity and topological metrics from a study investigating the neural correlates of neutral hypnosis in high and low hypnotizable individuals. The research hypothesis explores whether neutral hypnosis represents a distinct physiological state or a modulation of ordinary consciousness. EEG data were collected from 16 high and 16 low hypnotizable participants across six experimental conditions: open eyes rest, closed eyes rest, hypnotic induction (two phases), neutral hypnosis, and post-hypnosis rest.

Network and Topological Data Analysis (TDA) were applied to extract measures such as functional connectivity, total homological persistence, and persistent entropy. The results show that highs exhibit greater functional and topological homogeneity compared to lows, independent of condition. Additionally, highs displayed larger transitions in functional connectivity between conditions. These findings suggest that neutral hypnosis is a modulation of wakefulness rather than a distinct physiological state.

The dataset includes raw and processed EEG signals, functional connectivity matrices, and topological descriptors, along with metadata for reproducibility. This dataset is valuable for researchers studying consciousness, hypnotizability, and the application of TDA in neuroscience.

Updated code can be found at: https://github.com/nplresearch/hypnotic-state/
DOI: 10.17632/kg63y3j7pd
title: Flow-shop manufacturer S&OP data

description: Instance containing the data used by a hybrid MTS/MTO flow shop manufacturer during S&OP (Sales and Operations Planning). The company produces electric cables. The cables are processed throughout different stages: wire drawing, annealing, twisting and stranding, extrusion, cabling, steel armoring, outer sheathing. This instance concerns one family of products, with data from procurement (raw materials and semi-finished products acquisition), production and packing, and sales (orders and forecasts/target safety stocks for MTS products). Some details about the instance: finished products - 67, MTO products - 26, MTS products - 41, semi-finished products - 225, products - 292, semi-finished products that can be acquired from the market - 40, raw materials - 4, orders - 61, production alternatives - 592, machines - 39, packing machines - 7.