cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cmvw5t56xm
title: Natural, Physical, Human Capital Data and EPI Indicators for Growth Regressions

description: This dataset contains (a) natural capital data series from World Bank's Changing Wealth of Nations (b) gross fixed capital formation data from IMF (c) Environment Performance Index data from Yale (d) Penn World Table (e) Governance data from World Bank (f) others. This dataset allows for growth regressions to decompose cross country GDP to the various categories of capital, including natural capital. This dataset allows for the replication of Asian Infrastructure Finance 2023, Chapter 3, Do Natural and Ecosystem Capital Affect GDP? Growth Regression Analyses.
DOI: 10.17632/t8rtzcgwxm
title: Automatic Pain Assessment in Horses

description: Dataset used to develop a machine learning algorithm for automatic pain assessment on horses. These images were acquired by extracting frames from videos of several days from horses that underwent castration. These frames were selected and evaluated through the process of labeling in order to be used on the training of a Convolutional Neural Network (CNN).
DOI: 10.17632/z9v43xb35g
title: Comparative Meta-analyses of VR and Videoconferencing for online learning

description: Coding results for the comparative meta-analyses regarding online learning technologies of virtual reality and videoconferencing platforms.
DOI: 10.6084/m9.figshare.29002172.v1
title: Raw Data for "Nano-immunomodulation of the Aβ-STING feedback machinery in microglia for Alzheimer’s disease treatment"

description: Raw Data for "Nano-immunomodulation of the Aβ-STING feedback machinery in microglia for Alzheimer’s disease treatment"
DOI: 10.17632/vm2kfp58y2
title: Bachelorarbeit - Absicherung von Linux-Systemen - M.Sc. Sebastian Enger

description: Ziel der vorliegenden Bachelorarbeit ist es, eine Anleitung zu entwickeln, mit der es möglich ist, ein
Linuxsystem gegenüber vorgestellten Angriffsarten softwareseitig zu schützen. Die dabei
verwendeten Werkzeuge werden vorgestellt und anschließend aufgezeigt, welche Angriffe gegen
das Linuxsystem gerichtet werden können und wie man sich dagegen schützen kann. Weiterhin
werden allgemeine Abwehrmaßnahmen in Netzwerken erläutert und auf spezielle
Sicherheitsmechanismen und Sicherheitspatches eingegangen. Im anschließenden Abschnitt wird
aufgezeigt, wie man mit kostengünstigen Mitteln einen Linuxrechner gegen Angriffe härten kann.
Konzentriert werden soll sich im Rahmen der Bachelorarbeit ausschließlich auf die hier
vorgestellten Angriffe und Verteidigungsmechanismen, da eine noch ausführlichere Ausarbeitung
den Rahmen der Bachelorarbeit bei weitem überschritten hätte.
DOI: 10.17632/ztyrd88gpg
title: Spillovers of US Interest Rates: Monetary Policy & Information Effects

description: This dataset presents a replication Package for "Spillovers of US Interest Rates: Monetary Policy & Information Effects" by Santiago Camara.
DOI: 10.6084/m9.figshare.27135984.v1
title: Data for: Well-resolved phylogeny reveals multiple origins of keel flowers during the diversification of papilionoid legumes

description: This folder contains supplementary data from Cai et al (in review) regarding the phylogenomic investigation of the papilionoideae legumes. The following data is included.Data S1 DNA alignments and maximum likelihood phylogenies inferred for the 1,456 low copy nuclear genes used in this study. The alignments are inferred using the MAFFT-linsi algorithm. The gene trees are reconstructed using IQTREE and branch support is evaluated with 1000 ultrafast bootstrap replication. Species names and their corresponding ID are provided in sp_ID.csv. The list of 672 loci used to generated the concatenated matrix for species tree estimation is provided in G672_len900_sp227.list.Data S2 Distribution of 21-mer frequency in 32 species with genome skimming data. The 21-mer frequency is inferred from Jellyfish v2.3.0 to estimate sequencing coverage. The species names and ID for each accession is provided in Species_ID.tsv. See Table S1 in the main text for voucher information.Data S3 Gene and site concordance factors of the Papilionoideae phylogeny. The species tree and concatenated alignment of the 672-gene dataset were used as inputs in IQ-TREE to calculate these concordance factors. The gene concordance factors (gCF) and site concordance factors (sCF) are annotated as node labels in the nexus formatted phylogeny.
DOI: 10.6084/m9.figshare.14045009.v1
title: BTCUSDnews_Mohsen_Azadeh_Label

description: Emotion analysis is one of the research fields in the field of natural language processing. In this project, the aim is to analyze the feeling of financial news documents. In fact, the problem is a multi-part classification of the text, so that the trained model receives a text as input and returns the feeling of the document as output as three positive, negative or neutral labels.
DOI: 10.6084/m9.figshare.27987956.v1
title: Data for: Unraveling the impact of drought on waterbird community assembly and conservation strategies

description: The data encompass the following components:1. Community assembly metrics: Metrics including MPD, MNTD, FD_MPD, FD_MNTD, SES_MPD, SES_MNTD, SES_FD_MPD, SES_FD_MNTD, and species richness.2. Functional trait data: Data on 6 functional traits of waterbird species: body mass, body length, bill length, wing length, tarsus length, and tail length.3. Phylogenetic tree: Phylogenetic tree file (birdtree.tree).4. Drought index: Drought index derived from PCA of drought-related variables.5. Conservation measures: Compilation of conservation measures from 280 selected literatures.6. Conservation investment projects data: Details of conservation investment projects, including content, implementation time, and investment amounts for DTL and PYL.7. Simulation code for Fig. 1: R scripts used for the simulation calculations presented in Fig. 1.
DOI: 10.6084/m9.figshare.7579937.v2
title: Why the World Reads Wikipedia

description: This project contains data for the paper: <br><i><br></i>Lemmerich, Florian, Diego Sáez-Trumper, Robert West, and Leila Zia. "Why the World Reads Wikipedia: Beyond English Speakers." <i>Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM)</i>. ACM, 2019.<br>From the abstract:<br>As one of the Web's primary multilingual knowledge sources, Wikipedia is read by millions of people across the globe every day. Despite this global readership, little is known about why users read Wikipedia's various language editions. To bridge this gap, we conduct a comparative study by combining a large-scale survey of Wikipedia readers across 14 language editions with a log-based analysis of user activity. We proceed in three steps. First, we analyze the survey results to compare the prevalence of Wikipedia use cases across languages, discovering commonalities, but also substantial differences, among Wikipedia languages with respect to their usage. Second, we match survey responses to the respondents' traces in Wikipedia's server logs to characterize behavioral patterns associated with specific use cases, finding that distinctive patterns consistently mark certain use cases across language editions. Third, we show that certain Wikipedia use cases are more common in countries with certain socio-economic characteristics; e.g., in-depth reading of Wikipedia articles is substantially more common in countries with a low Human Development Index. These findings advance our understanding of reader motivations and behaviors across Wikipedia languages and have implications for Wikipedia editors and developers of Wikipedia and other Web technologies. <br>The data is described in the README as well as here on this meta page.<br><br>For more information, see the:* wiki page* blogpost* paper* mirror of data
DOI: 10.17632/mx3gzwt5g3
title: GEODER-D-21-00431

description: this the original data of this manuscript
DOI: 10.17632/2gskdybyfk
title: Flood Hazard Mapping Using Fuzzy Logic - Cedar Rapids Case Study

description: Here we share the dataset set for the study titled "Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa". Brief description and the data sources are provided for researchers. This dataset includes various demographic and geophysical features for the case study presented in the article below for the city of Cedar Rapids, Iowa. 

- Elevation: Digital representation of the earth. Elevation is also called as DEM (Digital Elevation Model) Source: Iowa Department of Natural Resources
- River Drainage Density: The measurement of the total length of channels per unit area. Source: Generated using the river network data
- Soil Type: Soil type distribution over the region. Source: United States Department of Agriculture, Soil Survey Geographic Database
- Land use:  Representation of land management over the region (i.e., urbanized, agricultural. pasture). Source: United States Department of Agriculture, CropScape and Cropland Data Layer
- Slope: The measurement of steepness of the region. Source: Generated using DEM
- Population: Number of inhabitants over the region. Source: Federal Emergency Management Agency, HAZUS Database
- Road Network Density:  The measurement of the total length of road per unit area. Source: Generated using the transportation network
- Children & Elderly Population: Number of children and people over 65 years old over the region. Source: Federal Emergency Management Agency, HAZUS Database 
- Renters: Number of renters over the region. Source: Federal Emergency Management Agency, HAZUS Database
- Income Rating: Income distribution over the region. Source: Federal Emergency Management Agency, HAZUS Database 
- River Network: Geolocation of river bodies over the region. Source: Iowa Department of Natural Resources
- Transportation Network: Geolocation of vehicle roads over the region. Source: OpenStreetMap Vector Layers

Article: Cikmaz, B.A., Yildirim, E. and Demir, I., 2022. 'Flood susceptibility mapping using fuzzy analytical hierarchy process for Cedar Rapids, Iowa.', EarthArxiv, 3416. https://doi.org/10.31223/X57344"
DOI: 10.17632/cb2jh7nyhp
title: Data for: What are the Determinants of International Tourism in Tanzania?

description: Statistical data on tourism and economic development in Tanzania.
DOI: 10.17632/rh3jw43hjs
title: A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils - Dataset

description: This dataset contains digital images of neutrophils from peripheral blood smears used in the study titled "A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils". The dataset includes 5605 images of neutrophils categorized into seven groups: Normal neutrophils (NEU), Hypogranulated neutrophils (HYP), neutrophils containing cryoglobulins (CRY), Döhle bodies (DB), Howell-Jolly body-like inclusions (HJBLI), green-blue inclusions of death (GBI), and phagocytosed bacteria (BAC). 

Note: This dataset is associated with the article "A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils" by Kevin Barrera Llanga, José Rodellar, Santiago Alférez, and Anna Merino, published in Computers in Biology and Medicine. When using this data set, please cite the following article https://doi.org/10.1016/j.compbiomed.2024.108691
DOI: 10.17632/3zz9vmn9sx
title: Aerial dispersal of the sugarcane rust mite (Abacarus sacchari) in the sugarcane field

description: The sugarcane rust mite (SRM), Abacarus sacchari, infests sugarcane in the Everglades Agricultural Area in southern Florida. Reddish-brown symptoms associate with SRM feeding on leaves appear in April and reach their peak in August-September. Mite dispersal plays an important role in habitat colonization. However, SRM dispersal in the sugarcane fields has not yet been explored because of its microscopic size. This study aimed to determine the role of aerial dispersal of SRM in the colonization of sugarcane plants. Mite dispersal was studied by measuring aerial mites and the mite population on the sugarcane canopy with the elimination of possible ambulatory movement among plants. In general, the result suggests that aerial dispersal is the most important method for SRM dispersal. Females predominated airborne mites, comprising approximately 90% of those measured with 60% gravidity. This strong female bias and their high gravidity in airborne mites further demonstrate the probable role of aerial dispersal in the colonization of sugarcane plants.
DOI: 10.17632/k6b9y2kkwy
title: Data for Small Farms Efficiency analysis in Mato Grosso (soybean)
DOI: 10.17632/btnmms6cj3
title: Formation of Supergene Copper Deposits: The Investigation of Kinetics and Mechanism in Replacement of Chalcopyrite by Covellite under Hydrothermal Conditions

description: This is the data set for publication of "He, Zhen; Harmer, Sarah L.; Pring, Allan; Qian, Gujie (2023), Formation of Supergene Copper Deposits: The Investigation of Kinetics and Mechanism in Replacement of Chalcopyrite by Covellite under Hydrothermal Conditions”.
DOI: 10.17632/rvdcsj78j8
title: Carboniferous – Permain Kinta Limestone Pinnacles, Kampar, Perak, Malaysia

description: This dataset documents the Paleozoic Carboniferous - Permain Kinta Limestone Pinnacles in Kampar, Perak, Malaysia, preserving a geological record of a now-demolished carbonate formation. It includes sedimentary logs, facies descriptions, fossil records, petrographic images, and X-ray diffraction (XRD) analysis results, enabling in-depth studies on carbonate depositional environments, diagenetic processes, and fossil assemblages. A total of 27 pinnacles were mapped and digitized using ArcGIS, with seven correlatable pinnacles selected for detailed sedimentary logging (1:10 scale). Key attributes recorded include lithology, sedimentary structures, texture, fossil content, and diagenetic indicators, classified into five distinct facies. Hand samples were analyzed using XRD to determine mineralogical composition. Given the extensive recrystallization of the limestone, thin-section observations were challenging. Fossils including fusulinids, corals, and brachiopods were documented through macro-photography for further identification. This dataset is valuable for paleoenvironmental reconstructions and comparative carbonate studies, ensuring continued access to critical geological information despite the loss of the physical site.
DOI: 10.17632/86vkrpvbr4
title: Dataset for Active Learning of Chemical Reaction Networks via Probabilistic Graphical Models and Boolean Reaction Circuits

description: Discerning networks of many reactions among multiple interconverting species is challenging. Here, we present a reaction network identification methodology. Our methodology enumerates all stoichiometrically and chemically feasible reactions and requires statistical evidence from effluent concentrations for the inclusion or exclusion of each from the reaction network, contrasting with the commonly seen incremental approach and other work of relying heavily upon chemical intuition and assuming the reactions occurring. Using graph theory alongside an active learning design of experiments that propose maximally informative feeds, we identify the underlying reaction network with minimal laboratory runs. We introduce chemistry-probabilistic graphical modeling and Boolean reaction circuits to statistically quantify which reactions occur from effluent concentrations. Our methodology accurately discerns active reactions, as showcased upon a laboratory network of cross-ketonization of furoic and lauric acid and validated upon simulated networks of thermal and CO2-assisted ethane dehydrogenation.
DOI: 10.17632/tkm4xb8jts
title: Discusiones sobre el lenguaje. Argentina

description: Transcripciones de entrevistas y discusiones públicas en las que se habla o se discute sobre el lenguaje, en particular sobre el lenguaje inclusivo, realizadas en español en medios de comunicación abiertos, en la Argentina, a partir de 2018. 
Caso 1: Eduardo Feinman-Natalia Mira. Entrevista televisiva. Canal A24. 2018. 
Caso 2: Luis Novaresio - Alejandra Lopez. Entrevista radial. RadioLaRed. 2021.
DOI: 10.6084/m9.figshare.21959990.v2
title: Supplementary data for MDPI 2023

description: <strong>Study on Seismicity of the Arxan Volcanic Group in Northeast China with a Dense Array</strong>
DOI: 10.6084/m9.figshare.22822838.v1
title: Annual time-series 1-km maps of crop area and types in the conterminous US (CropAT-US) during 1850-2021

description: By integrating multi-source cross-scale inventories and satellite-based datasets, we reconstructed the annual crop density and crop type map (excluding summer idle/fallow, cropland pasture) in the contiguous US at 1km×1km resolution from 1850 to 2021. The annual crop density map depicts the distribution and fraction of cultivated land, while the crop type map displays the corresponding crop type. The developed datasets fill the data gap in lacking of crop type extent and type maps, which can support the environmental assessment and socioeconomic analysis related to agricultural activities. (Supplement to: Shuchao, Ye et al. (2023): Annual time-series 1-km maps of crop area and types in the conterminous US (CropAT-US): cropping diversity changes during 1850-2021.)
DOI: 10.17632/b3jy2p6k8w
title: SAR-CLD-2024: A Comprehensive Dataset for Cotton Leaf Disease Detection

description: The Cotton Leaf Disease Detection Dataset represents a valuable resource for researchers, practitioners, and stakeholders in the agricultural sector, offering insights and tools to address the challenges associated with cotton leaf diseases effectively. Through accurate identification and classification of cotton leaf diseases, the dataset enables early detection, empowering farmers to take timely actions and optimize crop management strategies. Moreover, it supports the advancement of machine learning algorithms and methodologies for disease detection, fostering innovation in agricultural research. This dataset comprises meticulously curated images capturing various stages of cotton leaf diseases, sourced from the National Cotton Research Institute field in Gazipur. These images, captured using a Redmi Note 11s smartphone, represent a diverse range of disease manifestations across different dimensions. Despite challenges like fluctuating lighting conditions, field surveys conducted between October 2023 and January 2024, guided by domain experts, ensured high-quality image acquisition. The dataset contains 2137 images divided into seven classes, covering various cotton leaf conditions like bacterial blight, curl virus, and healthy leaves. These classes represent different issues affecting cotton plants, including diseases, pests, and environmental stress. Additionally, the dataset undergoes thorough preparation and augmentation procedures, including data cleaning, labeling, and augmentation techniques such as flipping and brightening. As a result, it comprises 2137 original images and 7000 augmented images, enhancing the effectiveness of deep learning models for precise classification and diagnosis of cotton leaf diseases.

1. Original (Cotton Leaf Disease Detection) Dataset:
 Number of datasets: 2137
 Data format: .jpg

2. Augmented (Cotton Leaf Disease Detection) Dataset:
 Number of datasets: 7000
 Data format: .jpg
DOI: 10.6084/m9.figshare.3844011.v1
title: Translation Corpus: Throne Speeches in Canada

description: This corpus comprises 25 speeches delivered at the Canadian House of Commons between 1974 and 2011. For each speech, the official French and English versions are provided, for a total of 50 files. The files are in Text format and they can be used with bilingual concordancers such as Paraconc or monolingual concordancers such as WordSmith. The 50 files are zipped for convenience purposes.
DOI: 10.17632/87jztf6yt5
title: Supporting Material for Improved Quantitative Phase-Field Approach for Simulating Grain Coarsening in Anisotropic Systems with Arbitrary Inclination and Misorientation Dependence

description: Simulation programs, input files, results and supplementary data related to the paper "New phase-field model for polycrystalline systems with anisotropic grain boundary properties", N. Moelans, Materials & Design, 217, 110592. 

Paper Abstract :
In the papers [PRL 101, 025502(2008); PRB 78, 024113 (2008)], the author proposed a quantitative phase-field model to study grain growth in polycrystalline structures with misorientation and inclinatin dependence of the grain boundary properties.  In later studies, it was found that the model can show some issues when for  strong anisotropies. In this paper, an improved model, resolving these issues, is presented. The new approach is derived in a  fully variational way, while unphysical third phase contributions at grain boundaries are suppressed without the need of extra higher order terms. The new model contains a parameter to control the length scale of the diffuse interface without affecting the grain boundary properties for computational efficiency. It is verified for the new approach that accurate triple junction angles are obtained under all conditions, also for large differences between the grain boundary energies resulting in triple junction angles that deviate largely from 120$^{\circ}$. It is also shown that grain boundary wetting is reproduced. Moreover, three alternative ways to include inclination dependence in the model are presented and validated, resulting in a founded selection of one of them. 
The applicability and accuracy of phase-field
models towards systems with strong anisotropy is largely
increased with the newly proposed methodology.
DOI: 10.6084/m9.figshare.7040198.v1
title: EMRBots: a 100,000-patient database

description: A 100,000-patient database that contains in total 100,000 virtual patients, 361,760 admissions, and 107,535,387 lab observations.
DOI: 10.17632/vzmx6pjm8s
title: Metarab data : Arabic Meters and Rhythms

description: This data set contains 32 program code in java for obtaining 32 sql files. The data generated by this code is included in two tables exported in csv files : the first is for the Rhythms of the 16 set of the Meters of Arabic poetry, and the second is for the Rhythms of the 16 set of the Meters keys. An Appendix with data interpretation and description is included in pdf file.
DOI: 10.17632/cbxkh89czr
title: Vehicle Bridge Interaction Modeling-Quarter Car-1D Bridge

description: This code provides a finite element modeling for the Vehicle Bridge Interaction Problem. The vehicle is modeled as a quarter car with two degrees of freedom accounting for the body mass bouncing and the axle mass bouncing. While the Bridge is modeled using Finite Element Euler Bernoulli Beams. The program can be used to simulate the VBI with and without road roughness. Also a damage model is added to simulate the effect of structural damages using Sinha Damage model (2002). The code is built upon the contact force concept. In this concept the vehicle equation of motion and the bridge equation of motion are solved separately by equating the contact force between the vehicle and the bridge. The equations of motion are solved explicitly using Newmark-Beta Integration scheme. For a very small time step size (dt
DOI: 10.17632/c75bhn2b3r
title: B4C4 Nanocluster Ring for Toxic Heavy Metal Ion Adsorption from Wastewater: A DFT Study

description: Input geometries in .mol format.