cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gjhf5y4xjp.4
title: AI & Big Data Global Surveillance Index (2022 updated)

description: This index compiles empirical data on AI and big data surveillance use for 179 countries around the world between 2012 and 2022— the bulk of the sources are found between 2017 and 2022. The index does not distinguish between legitimate and illegitimate uses of AI surveillance techniques. Rather, the purpose of the research is to show how new surveillance capabilities are transforming governments’ ability to monitor and track individuals or groups. Last updated March 2022.

This index addresses three primary questions: Which countries have documented AI and big data public surveillance capabilities? What types of AI and big data public surveillance technologies are governments deploying? And which companies are involved in supplying this technology?

The index measures AI and big data public surveillance systems deployed by state authorities, such as safe cities, social media monitoring, or facial recognition cameras. It does not assess the use of surveillance in private spaces (such as privately-owned businesses in malls or hospitals), nor does it evaluate private uses of this technology (e.g., facial recognition integrated in personal devices). It also does not include AI and big data surveillance used in Automated Border Control systems that are commonly found in airport entry/exit terminals. Finally, the index includes a list of frequently mentioned companies – by country – which source material indicates provide AI and big data surveillance tools and services. 

All reference source material used to build the index has been compiled into an open Zotero library,  available at https://www.zotero.org/groups/2347403/global_ai_surveillance/items. The index includes detailed information for 97 countries where open source analysis indicates that governments have acquired AI and big data public surveillance capabilities.  The index breaks down AI and big data public surveillance tools into the following categories: smart city/safe city, public facial recognition systems, smart policing, and social media surveillance.  

The findings indicate that at least ninety-seven out of 179 countries are actively using AI and big data technology for public surveillance purposes:

•	Smart city/safe city platforms: 64 countries
•	Public facial recognition systems: 78 countries
•	Smart policing: 69 countries
•	Social media surveillance: 38 countries
DOI: 10.17632/fd4rz92zbj.1
title: Dataset Wayuu

description: Technological skills are currently part of educational programs in university education, since they affect the consolidation and construction of new knowledge. Additionally, they develop skills that allow them to locate, evaluate, use and communicate information in all professional specialties, achieving an adaptation to the demands of society. Added to this, it reduces the digital divide and the inclusion of indigenous ethnic groups. In Colombia, the Wayuu ethnic group resides in the Department of Guajira, which is part of the population of students from public universities. The data in this article shows the competences Wayuu students have with the use of technological tools in their academic activities. The data was collected through a Likert questionnaire from students at public universities and processed through statistical software. The data show that digital literacy is an issue that develops skills to use effectively, technological tools in academic and professional settings
DOI: 10.17632/fj93rrfv2y.2
title: Medicinal Plant Identification Dataset

description: • In our surroundings, there are various types of plants. In our daily lives, we use products derived from these plants in many ways. We depend on a vast kingdom of plants to meet all the needs of life, including food, clothing, shelter, education, and healthcare. We have already gained a lot of knowledge about this relationship. We have seen or heard that when children have a cold or cough at home, they are given a mixture of tulsi (holy basil) leaves and a few drops of honey. As a result, their cold and cough subside, and they feel relieved. If someone suddenly gets a cut on any part of their body, washing the wound with the juice of the aloe vera leaf or applying a poultice of durba grass can be beneficial. This helps stop bleeding, and within two to three days, the wound dries up, and the person recovers. The plants in our environment that are used for the relief or cure of diseases are called medicinal plants. • At one time, Bangladesh was rich in medicinal plants. Fields, riverbanks, roadsides, and forests were abundant with numerous medicinal plants. Due to the increase in population, the diverse use of land has risen. Additionally, due to ignorance, negligence, and lack of attention, the primary habitat of these medicinal plants, natural forest land, has decreased. Consequently, valuable tree resources like these have been diminished. Many species have already become extinct. Despite this, our country still has a sufficient number of medicinal plants scattered across remote and less-explored areas. We are not familiar with all of them. It is crucial for us to be aware of these medicinal plants, recognize them, and understand their uses and properties. As a result, we can play a significant role in the holistic well-being of the general population in our country by contributing to the management and cure of various diseases. • This medicinal plant identification dataset would likely consist of a collection of images and associated metadata related to various medicinal plants. The dataset would serve as a resource for developing and training machine learning models for the automatic identification and classification of medicinal plants. • Six distinct kinds of medicinal plants are shown in this large dataset, which can be used to develop machine vision-based techniques: Arjun Leaf, Curry Leaf, Marsh Pennywort Leaf, Mint Leaf, Neem Leaf, and Rubble Leaf. • In reality, 1380 images of medicinal plants were initially collected from the field. Subsequently, to increase the quantity of data points, various image processing techniques were applied, such as shifting, flipping, zooming, shearing, brightness enhancement, and rotation, resulting in a total of 9660 augmented images derived from the original images.
DOI: 10.17632/j3w6xvbdbc.1
title: Knowledge-intensive Business Services and New Venture Growth: A Sub-national Analysis Based on Complexity Theory

description: This is a replication package for “Knowledge-intensive Business Services and New Venture Growth: A Sub-national Analysis Based on Complexity Theory,” authored by Qing Song, Dianfan Yu, and Xiangcai Peng, published in Economic Modelling. The purpose of this package is to facilitate the replication of the results presented in the paper. Due to licensing restrictions, the full dataset used in the analysis cannot be shared. Instead, a random subsample is provided, which is sufficient to statistically replicate the empirical findings.
DOI: 10.15468/dl.7q6s9c
title: Occurrence Download

description: A dataset containing 5843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Suriname",
 "RecordedBy is one of (F.W.R. Hostmann, F.W.R. Hostmann & A. Kappler, F.W.R. Hostmann;,Hostmann, F.W.R. Hostmann (ex herb. M.J. Berkeley), F.W.R. Hostmann 253 (ex herb. Hooker), W.R. Hostmann, W.R. Hostmann & A. Kappler, W.R. Hostmann;August Kappler, HOSTMANN & KAPPLER, Hostmann & Kappler, Hostmann et Kappler, HOSTMANN, Hostmann, Hostmann (Dr.); [E. R. F. Hahemacker], Hostmann (ex herb. Hooker), Hostmann FWR, Hostmann FWR; Hohenacker RF, Hostmann FWR; Kappler A, Hostmann W.R., Hostmann, F. W. R., Hostmann, F. W. R.; Kappler, A. K., Hostmann, F.W.R., A. Kappler, A. Kappler & -. Hohen, A. Kappler & R. F. Hohenacker, A. Kappler & W. R. Hostmann, A. Kappler., A. Kappler;,Kappler, A. kappler, KAPPLER, Kappler, Kappler & Hostmann, Kappler A, Kappler A (no. 1332), Kappler A (no. 1357), Kappler A., Kappler A; Hostmann FWR, Kappler August, Kappler [Hostmann?], Kappler, A, Kappler, A., Kappler, A. (no. 1300), Kappler, A. (no. 1356), Kappler, A. (no. 1365), Kappler, A. (no. 1366), W. R. Hostmann, W. R. Hostmann & A. Kapler, W. R. Hostmann & A. Kappler)"
 ]
}

 The dataset includes 5843 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009268-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nmhh2rtfn7.1
title: Fortran User Subroutine (UMAT) for Abaqus.

description: This dataset contains the Fortran code for the user subroutine (UMAT) used in the article "A thermo-elasto-viscoplastic model for polymers" (https://doi.org/10.1016/j.jmps.2018.11.018) by Joakim Johnsen, Arild Holm Clausen, Frode Grytten, Ahmed Benallal and Odd Sture Hopperstad. The dataset also includes an example input file for a thermomechanical axisymmetric uniaxial tensile test built for Abaqus 6.14-4. Note that you need to link Abaqus to a Fortran compiler in order to run the model with the user subroutine. The following properties must be given in the material card: -- PART A PROPERTIES PROPS(1) : Initial shear modulus Part A PROPS(2) : Temperature sensitivity of shear modulus in Part A PROPS(3) : Activation enthalpy for alpha relaxation PROPS(4) : Activation volume for alpha relaxation PROPS(5) : Reference plastic strain rate for alpha relaxation (give as natural logarithm value) PROPS(6) : Parameter governing evolution of reference plastic strain rate for alpha relaxation PROPS(7) : Activation enthalpy for beta relaxation PROPS(8) : Activation volume for beta relaxation PROPS(9) : Reference plastic strain rate for beta relaxation (give as natural logarithm value) PROPS(10) : Parameter governing evolution of reference plastic strain rate for beta relaxation PROPS(11) : Boltzmann's constant PROPS(12) : Universal gas constant PROPS(13) : Reference temperature PROPS(14) : Tolerance used in convergence criterion PROPS(15) : Maximum number of iterations in the semi-implicit integration -- PART B PROPERTIES PROPS(16) : Initial shear modulus Part B PROPS(17) : Bulk modulus PROPS(18) : Locking stretch PROPS(19) : Thermal expansion coefficient --- COMMON PROPERTIES PROPS(20) : Density PROPS(21) : Specific heat capacity PROPS(22) : Factor controlling substepping
DOI: 10.17632/4gd3tmr8m3.1
title: MATLAB-Simulink-Simscape Model with Simulation Data for EV Battery Thermal Management Strategies 

description: MATLAB-Simulink environment with Simscape is used for the development of a virtual testbed simulation framework for the analysis of battery thermal management control strategies in electric vehicles (EVs). Using this framework, different thermal management strategies for fast-charge/discharge of EV batteries are tested and compared. This dataset contains all the model files, simulation results data files and scripts for post-processing. A 'Model Documentation' file in the parent folder gives a brief overview of setting up and running the model.
DOI: 10.17632/2h8cpszy26.1
title: Graphite//NCA synthetic V vs. Q & duty cycle datasets

description: These datasets were calculated using the mechanistic modeling approach. See “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis“ (Journal of Power Sources, Volume 479, 15 December 2020, 228806) and "Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis" (Energies, under review) for more details The V vs. Q dataset (Gr-NCA_Co33_cha_n) was compiled with a resolution of 0.01 for the triplets and C/25 charges. This accounts for more than 5,000 different paths. Each path was simulated with at most 0.85% increases for each. The dataset contains more than 700,000 unique voltage vs. capacity curves. 4 Variables are included, see corresponding read me file for details and example how to use. The duty cycle dataset is composed of close to 125,000 duty cycles with one voltage curve at most every 200 cycles (one every 10 cycles for cycles 1-200). 15 variables are included in the duty cycle dataset (Gr-NCA_Co33_cha_124652duty). See corresponding read me file for details and example how to use.
DOI: 10.17632/fs7mtkg2wk.4
title: Dataset of Deep Learning from Landsat-8 Satellite Images for Estimating Burned Areas in Indonesia

description: The dataset consist of three categories; image subsets, burned area masks and quicklooks. The image subsets are derived from Landsat-8 scenes taken during the years 2019 and 2021. Each image has a size of 512x512 pixels and consists of 8 multispectral. The sequence of band names from band 1 to band 7 of the image subset is same as the sequence of band names of landsat-8 scene, except for band 8 of the image subset which is band 9 (cirrus band) in the original landsat-8 scene. The image subsets are saved in GeoTIFF file format with the latitude longitude coordinate system and WGS 1984 as the datum. The spatial resolution of image subsets is 0.00025 degree and the pixel values are stored in 16 bit unsigned integer with the range of value from 0 to 65535. The total of the dataset is 227 images which containing object of burned area surrounded by various ecological diversity backgrounds such as forest, shrub, grassland, waterbody, bare land, settlement, cloud and cloud shadow. In some cases, there are some image subsets with the burned areas covered by smoke due to the fire is still active. Some image subsets also overlap each other to cover the area of burned scar which the area is too large.
The burned area mask is a binary annotation image which consists of two classes; burned area as the foreground and non-burned area as the background. These binary images are saved in 8 bit unsigned integer where the burned area is indicated by the pixel value of 1, whereas the non-burned area is indicated by 0. The burned area masks in this dataset contain only burned scars and are not contaminated with thick clouds, shadows, and vegetation. Among 227 images, 206 images contain burned areas whereas 21 images contain only background. The highest number of images in this dataset is dominated by images with coverage percentage of burned area between 0 and 10 percent.
Our dataset also provides quicklook image as a quick preview of image subset. It offers a fast and full size preview of image subset without opening the file using any GIS software. The quicklook images can also be used for training and evaluating the model as a substitute of image subsets. The image size is 512x512 pixels same as the size of image subset and annotation image. It consists of three bands as a false color composite quicklook images, with combination of band 7 (SWIR-2), band 5 (NIR), and band 4 (red). These RGB composite images have been performed contrast stretching to enhance the images visualizations. The quicklook images are stored in GeoTIFF file format with 8 bit unsigned integer.

This work was financed by Riset Inovatif Produktif (RISPRO) fund through Prioritas Riset Nasional (PRN) project, grant no. 255/E1/PRN/2020 for 2020 - 2021 contract period.
DOI: 10.17632/ds49wpkdhz.1
title: Scripts for:  Conjunctive use of mineralogy and elemental composition for empirical forensic provenancing of topsoil from Canberra, Australia

description: This data was used in the preparation of FORC-D-23-00035 "Conjunctive use of mineralogy and elemental composition for empirical forensic provenancing of topsoil from Canberra, Australia".
Authors: Michael G. Aberle 1, Ulrike Troitzsch 2, James Robertson 1, Jurian A. Hoogewerff 1

1) National Centre for Forensic Studies, University of Canberra, Australia, 
2) Research School of Earth Sciences, Australian National University, Australia, 

Corresponding author: Michael Aberle: email: Michael.Aberle@canberra.edu.au.

The data and script provided are experimental and the authors are not liable for any misuse or unexpected outcomes of the data and scripts for legal applications or otherwise.
DOI: 10.17632/9w4g54bv43.1
title: Genome-wide screens reveal that resveratrol induces replicative stress in human cells

description: Resveratrol is a natural product associated with wide-ranging effects in animal and cellular models including lifespan extension. To identify the genetic target of resveratrol in human cells, we conducted genome-wide CRISPR-Cas9 screens to pinpoint genes that confer sensitivity or resistance to resveratrol. An extensive network of DNA damage response and replicative stress genes exhibited genetic interactions with resveratrol and its analog pterostilbene. These genetic profiles showed similarity to the response to hydroxyurea, an inhibitor of ribonucleotide reductase that causes replicative stress. Resveratrol, pterostilbene and hydroxyurea caused similar depletion of nucleotide pools, inhibition of replication fork progression and induction of replicative stress. The ability of resveratrol to inhibit cell proliferation and S phase transit was independent of the histone deacetylase Sirtuin 1, which has been implicated in lifespan extension by resveratrol. These results establish that a primary impact of resveratrol on human cell proliferation is the induction of low-level replicative stress.
DOI: 10.17632/vmxhn95j8z.1
title: Pixel-wise Wireless Capsule Endoscopy Image Annotated Dataset for Clear and Contaminated Region Segmentation

description: The first publicly available clear and contaminated regions segmentation mask dataset created by precisely annotating 1500 copyright-free CC BY 4.0 licensed small bowel capsule endoscopy images collected from Kvasir capsule endoscopy dataset [1]. The created dataset has been organized into three subfolders namely original images, binary masks, and tri-color masks. The original images folder contains 1500 handpicked wireless capsule endoscopy images covering different level of contamination. The binary masks folder contains a binary ground truth segmentation mask for each individual image of the original images folder. In a black-and –white segmentation mask image, white pixels represent clear regions while contaminated regions have been indexed by black pixels. Considering the physiological meaning of bubbles and turbid fluids, the tri-color masks folder contain three-color manually annotated ground truth masks in which the bubble boundaries, turbid fluids, and clear tissue have been labeled by the blue, red, and white colors. Ground truth images in the binary masks, and tri-color masks folders share the same names as the raw images in the original images folder. 
In the provided dataset, original RGB color images, binary and tri-color masks have been converted into three distinct .npy file formats. These files contain the pixel intensity values of the image, black-and-white and three-color masks. These reduced storages files can be used to carry out image processing tasks more lightly. 
[1] P. H. Smedsrud et al., “Kvasir-Capsule, a video capsule endoscopy dataset,” Sci. Data, vol. 8, no. 1, pp. 1–10, 2021, doi: 10.1038/s41597-021-00920-z.
DOI: 10.17632/5j2rk44fb3.1
title: Multiclass Password Strength Classification (MPSC 2024) Dataset for password cracking detection and prevention

description: We present a novel cutting-edge, large-scale multiclass dataset to improve the security of password protected systems cognition of suspicious password cracking attempts. The proposed newly generated dataset contains up-to-date samples and features available to the public to help reduce the effect of upcoming cyberattacks with machine learning methods. Specifically, 700,000 samples with more than 100 features are collected, processed through several stages including hashing, tokenization (NLP techniques), an others, and organized into three password classes: weak, moderate, and strong. 

For detailed info, Please refer to and cite our articles:
Al-Haija, Q.A., Abu-Ghazaleh, R., Hafez, A., Mansour, S., Aljammal, Y. (2024). Password Security: Cracking Techniques and Countermeasures. Proceedings of Data Analytics and Management. ICDAM 2024. Lecture Notes in Networks and Systems, Springer, 2024. 

Al-Haija, Q.A., Abu-Ghazaleh, R., Hafez, A., Mansour, S., Aljammal, Y. (2024). PasswordProtectorPro: A Password Cracking Detection and Prevention Tool for Mission Critical Systems. 8th IET Smart Cities Symposium (SCS 2024), Hybrid Conference, Bahrain, 2024.
DOI: 10.17632/84k92j4n3y.2
title: Global dataset for seized and non-intercepted illegal cheetah trade (Acinonyx jubatus) 2010-2019.

description: The most extensive dataset relevant to seized and non-intercepted illegal trade in live cheetahs and cheetah parts for the decade 2010-2019, spanning over 300 sources and 56 countries in Africa, the Middle East, Asia, Europe, Oceania and North America. It includes 1,886 individual incidents involving at least 4,000 cheetahs or cheetah parts or products likely or confirmed to breach national laws or CITES regulations.
DOI: 10.17632/d8rgrdc7tz.1
title: Lab::Measurement—A portable and extensible framework for controlling lab equipment and conducting measurements

description: Lab::Measurement is a framework for test and measurement automatization using Perl 5. While primarily developed with applications in mesoscopic physics in mind, it is widely adaptable. Internally, a layer model is implemented. Communication protocols such as IEEE 488, USB Test & Measurement, or, e.g., VXI-11 are addressed by the connection layer. The wide range of supported connection backends enables unique cross-platform portability. At the instrument layer, objects correspond to equipment connected to the measurement PC (e.g., voltage sources, magnet power supplies, multimeters, etc.). The high-level sweep layer automates the creation of measurement loops, with simultaneous plotting and data logging. An extensive unit testing framework is used to verify functionality even without connected equipment. Lab::Measurement is distributed as free and open source software.
DOI: 10.17632/zm73b4z2xc.1
title: Race and Appointment Availability Influence Continuity of Care for Chronic Inflammatory Skin Disease - Supplemental Tables I and II

description: Supplementary Tables I and II to accompany the manuscript titled "Race and Appointment Availability Influence Continuity of Care for Chronic Inflammatory Skin Disease: A Cross-Sectional Study of United States Practice Data" (Journal of the American Academy of Dermatology)