cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7916/d8-cnzd-1719
title:  GRID3 Zimbabwe Settlement Extents, Version 01

description: NOTE: This version of the Zimbabwe settlement extents has been superseded by "GRID3 Zimbabwe Settlement Extents, Version 01.01", now available here: https://doi.org/10.7916/d8-dg56-b652 The dataset consists of settlement extents across Zimbabwe, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous GRID3 Zimbabwe Settlement Extents, Version 01 Alpha product, with updates. Updates in this version include: a single settlement extent feature class (Alpha contained the same data in three (3) separate feature class layers: BUAs, SSAs & Hamlets), and new population estimate fields ("Population" and "Pop_UN_adj") for each settlement extent . This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: Settlements, Hamlets, Built-up Areas (BUA), Small Settlement Areas (SSA) The programme is funded by the Bill & Melinda Gates Foundation and United Kingdom's Foreign, Commonwealth, Development Office. It is implemented by Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), and the Center for International Earth Science Information Network (CIESIN) at Columbia University.
DOI: 10.17632/3y5r49dx54.1
title: The Secretome of Aged Fibroblasts Promotes EMT-Like Phenotype in Primary Keratinocytes from Elderly Donors through BDNF-TrkB Axis

description: Datasets related to this article shown in the Supplementary Materials.
DOI: 10.17632/5npmkgsbd6.1
title: Genome wide association studies (GWAS) analysis of karnal bunt resistance in Wheat (Triticum aestivum L.) germplasm collection from Pakistan

description: Karnal bunt (KB) disease is one of the most important challenges posed to of wheat (Triticum aestivum L.) industry of Pakistan because of its inclusion on quarantine lists around the globe. This disease is caused by the fungus Tilletia indica M. (Neovossia indica). It affects the grain quality of wheat and hampers its movement in the international market resulting in economic losses. The presence of >3% infected grains in wheat lots makes it unsuitable for human consumption. Eradication of this disease is very difficult as no resistant cultivar has been found against KB in Pakistan so far. Genome-wide association study (GWAS) was conducted on a set of 199 wheat germplasm collected from Pakistan. In this study 31,000 single nucleotide polymorphism markers were developed by 90K SNP array technology. A linear mixed model in GWAS, accounting for population structure, was fitted to identify significant genomic regions [-log(P) ≥ 4.0] on 6 different chromosomes i.e. 1A, 1D, 2D, 3B, 4A, 5A with novel loci. Candidate genes, through wheat genome assembly, were identified as putative genes related to KB resistance including kinase like protein family. The results of this study can be useful in wheat breeding through marker-assisted selection for KB-resistant varieties.
DOI: 10.7916/d8mc8zbh
title:  Ground and Satellite Observations (2005-2011): Senator Beck Basin, Southwestern Colorado

description: The Center for Snow and Avalanche Studies (CSAS; www.snowstudies.org) provides ground-based observations of temperature, relative humidity, snowpack depth, and longwave downward flux in the San Juan Mountains, at the Senator Beck Study Plot (37.9°N - 107.725°W at 3719 m, in alpine tundra) and Swamp Angel Study Plot (37.9°N - 107.711°W at 3368 m, in a sub-alpine meadow). The longwave fluxes are measured with a Kipp and Zonen model CG4 pyrgeometer, which has a 180º field of view. The CG4 is designed to minimize the effects of window heating in direct sunlight, during daylight measurements. The air temperature and relative humidity are measured with a Campbell-Vaisala model CS500-U Humitter®. All measurements are obtained every 5 seconds and available as hourly averages during the period 2005-2010.The data are archived and described on: http://www.snowstudies.org/ Here we compiled the data into single ncdf files per site for the entire period of operation. In addition, we collected NASA-MODIS cloud product observations (MOD06 and MYD06) files, namely cloud fraction and cloud optical thickness and created a new file for the Senator Beck study plot, where coincident ground and satellite observations are selected. This new dataset is a subset of the ground observations only files. 1. Hourly Ground Based Data From Two Plots: Senator Beck and Swamp Angel Study Plots These are hourly observations from the two plots between 2005-2011. In addition, a few other variables were estimated. These include: specific humidity (based on relative humidity, temperature and pressure), upward longwave radiation (based on soil surface temperature), surface pressure for Senator Beck plot (from surface pressure at Swamp Angel plot), and cloud mask (based on solar radiation). Please see the "Readme" file provided for each data file for a detail description of the data content. 2. Ground and Satellite Data: Senator Beck Plot only This data include only the coincident hourly observations from ground and satellite (MODIS) at the Senator Beck site. Therefore, there are generally two observations per day. Day and night flag is also assigned to the data. The satellite observations included here are: (1) cloud fraction and (2) cloud optical depth (during overcast conditions only).
DOI: 10.17632/dc6gdcz7n9.2
title: U2VDow30 : Dow 30 Stocks tweets for proposing User2Vec approach

description: This data set has been collected for "User2Vec: stock market prediction using deep learning with a novel representation of social network users" paper. Stock market prediction is an interesting and challenging problem for investors and financial analysts. Recently, recurrent neural networks like LSTM have shown good performance in the field of stock market prediction. Most current methods use historical market data and in some cases, the dominant direction of users and news for each day. In some cases, the opinions of social network members about the stocks are extracted to improve the prediction accuracy. Usually, the opinions of different users are treated in the same way and are given the same weights in these works. However, it is clear that these opinions have different values based on the accuracy of the prediction of the related user. In this study, the idea is to convert the opinion of each user about each stock into a vector (User2Vec) and then use these vectors to train a Recurrent Neural Network (RNN) and ultimately model the behavior of the users in the market.
The proposed user representation is composed of the features extracted from the messages posted in a social network and the market data. Here, we consider the power of the user in predicting the future of the stock based on the social network metrics, e.g. the number of the followers of the user, and the accuracy of its previous predictions. This way, the number of training data is increased and the model is effectively learned. These data are then used to train a stacked bidirectional LSTM network used for aggregating the input data and providing the final prediction. Empirical studies of the proposed model on 30 stocks of 30 Dow Jones clearly shows the superiority of the proposed model over traditional representations. For example, the prediction accuracy is about 93% for the Apple stock which is much higher than the compared models.
DOI: 10.17632/mgtdvvknym.1
title: M&A

description: This dataset includes corporate transactions starting from 1993 - mergers and acquisitions, where the acquirer is Russian company. This dataset will be used to identify the influence of behavioral effects on the efficiency of Russian corporate transactions
DOI: 10.7916/d8-9yp5-6p27
title:  Data for: Summertime Transport Pathways from Different Northern Hemisphere Regions into the Arctic

description: First 20 days of the ensemble mean of tracers released from each region is deposited here. Variables include tracer concentration, as well as tracer tendency due to different terms (resolved dynamics, deep convection, shallow convection and vertical diffusion). These are Netcdf files produced by running the Community Earth Science Model (CESM). More information about the data can be found in the paper (DOI to come).
DOI: 10.7916/d8-p78a-zm51
title:  Data from: Makassar Strait Throughflow Seasonal and Interannual Variability: An Overview

description: Pacific water flows into the Indian Ocean within the passages and basins of the Indonesian Seas, driven by the pressure gradient between the Pacific and Indian Oceans. This inter-ocean exchange is known as the Indonesian Throughflow (ITF). The ITF affects heat and freshwater balances of the Pacific and Indian Oceans. The primary inflow path of Pacific water into the Indonesian Seas is the Makassar Strait between Kalimantan and Sulawesi. During the 21 years from November 1996 to August 2017, we recorded 13.3 years of Makassar throughflow, exposing a broad range of spatial and temporal patterns. The Makassar Strait average transport is 12.5 million cubic meters per second, about 77% of the total ITF flow, with the annual cycle transport ranging from 7 to 16 million cubic meters per second. Strong southward transport occurs during boreal summer, with a strong response to El Nino and La Nina events. This data is associated the article "Makassar Strait Throughflow Seasonal and Interannual Variability: An Overview", 2019, A. L. Gordon, et al. Journal of Geophysical Research DOI: 10.1029/2018JC014502.
DOI: 10.7916/d8js9x66
title:  Institutions Don't Rule: Direct Effects of Geography on Per Capita Income
DOI: 10.7916/d8pk0nwm
title:  Institutions Don't Rule: Direct Effects of Geography on Per Capita Income
DOI: 10.17632/wcr25hdm3x.1
title: Music Listerning with Coping strategies and Multiple Intelligence in Adolescents

description: Data completed for study on effect of Music Listerning on Coping strategies and Multiple Intelligence in Adolescents
DOI: 10.17632/6c4nnvhyrp.2
title: Mindful Caring

description: Pre-course and post-course questionnaire results from Mindful Caring workshop participants.
Pre-course and post-course questionnaire.
DOI: 10.17632/6m8pnsp7tk.1
title: LINF_250017300

description: Aldehyde dehydrogenase mitochondrial precursor
Leishmania infantum (strain JPCM5)
DOI: 10.17632/rmfw4d4zmp.1
title: LINF_250017400

description: cytochrome c oxidase VII | COXVII
Leishmania infantum (strain JPCM5)
DOI: 10.17632/m6gcwf79hz.1
title: LINF_250017900

description: ATP synthase subunit beta - mitochondrial
Leishmania infantum (strain JPCM5)
DOI: 10.17632/knypv6yh5r.1
title: LINF_250018000

description: ATP synthase subunit beta - mitochondrial
Leishmania infantum (strain JPCM5)
DOI: 10.17632/s94v36hyfd.1
title: LINF_250018200

description: cytosine-specific DNA methylase | DMMT6
Leishmania infantum (strain JPCM5)
DOI: 10.17632/gy8z2bx452.1
title: LINF_250018400

description: nuclear cap binding complex subunit CBP66 | CBP66
Leishmania infantum (strain JPCM5)
DOI: 10.7916/d8f195g5
title:  Sources of Slow Growth in African Economies

description: Data on sources of slow growth in African economies, available as xls and dta files.
DOI: 10.7916/d8988drf
title:  Sources of Slow Growth in African Economies
DOI: 10.17632/nw57ccb4xv.1
title: LINF_250018450

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.7916/d8w959hj
title:  Multilingual Spatial Relation and Motion Treebank

description: One-sentence descriptions of each picture from the Picture Series for Positional Verbs (Ameka et al., 1999) and each video clip from the Motion Verb Stimulus Kit (Levinson, 2001). 163 English sentences, 165 Spanish sentences, 157 German sentences, 158 Egyptian Arabic sentences. All sentences are tokenized and annotated with lemma, part of speech, morphological features, dependency label and head. We use the universal POS tags, universal features, and universal dependency relations. Treebank is in conll format.
DOI: 10.17632/vymvd7xf5v.1
title: LINF_250018500

description: MIOS
Leishmania infantum (strain JPCM5)
DOI: 10.15151/esrf-es-697010253
title: Local structure in the bcc-based Ti-Nb-Zr-Ta-Hf based high entropy alloys

description: The idea of producing a crystalline alloy with good properties based on a heavy mix of elements was completely new and pushed the boundaries of properties understanding beyond what was known so far from one- and two-element based alloys, leading to the discovery of High Entropy Alloys (HEA). A general lack of experimental data on the crystal structure and local distortions in HEA – all factors considered crucial for the understanding of mechanical properties – emerges from the latest reviews. This project plans to tackle directly some of these aspects: a bcc alloy, so-called Senkov alloy based on Ti-Nb-Zr-Ta-Hf elements, and its precursors, will be investigated by means of X-ray absorption spectroscopy (XAS). The results will be then related to i) mechanical properties to be measured on the same compounds and integrated with the literature, and ii) on-going crystal structure investigation on similar hcp-based and fcc-based high entropy alloys.
DOI: 10.17632/6t88xmb4d4.1
title: LINF_250018800

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.7916/d8b56j2n
title:  A Behavior-based Approach Towards Statistics-Preserving Network Trace Anonymization: Supporting Data

description: In modern network measurement research, there exists a clear and demonstrable need for open sharing of large-scale network traffic datasets between organizations. Beyond network measurement, many security-related fields, such as those focused on detecting new exploits or worm outbreaks, stand to benefit given the ability to easily correlate information between several different sources. Currently, the primary factor limiting such sharing is the risk of disclosing private information. While prior anonymization work has focused on traffic content, analysis based on statistical behavior patterns within network traffic has, so far, been under-explored. This thesis proposes a new behavior-based approach towards network trace source-anonymization, motivated by the concept of anonymity-by-crowds, and conditioned on the statistical similarity in host behavior. Novel time-series models for network traffic and kernel metrics for similarity are derived, and the problem is framed such that anonymity and statistics-preservation are congruent objectives in an unsupervised-learning problem. Source-anonymity is connected directly to the group size and homogeneity under this approach, and metrics for these properties are derived. Optimal segmentation of the population into anonymized groups is approximated with a graph-partitioning problem where maximization of this anonymity metric is an intrinsic property of the solution. Algorithms that guarantee a minimum anonymity-set size are presented, as well as novel techniques for behavior visualization and compression. Empirical evaluations on a range of network traffic datasets show significant advantages in both accuracy and runtime over similar solutions.
DOI: 10.5281/zenodo.6412255
title: Data Bundle for PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System

description: While small data files used in PyPSA-Eur-Sec are included directly in the git repository, larger ones are collected in this data bundle. The data bundle’s size is around 680 MB. <strong>Licenses</strong> Different licenses apply to the various components of this data bundle (mostly attribution). For details see https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements <strong>Changelog 0.3.1</strong> Fix IRENASTAT encoding <strong>Changelog 0.3.0</strong> Add IRENASTAT country-level power generation capacities. <strong>Changelog 0.2.0</strong> add hydrogen salt cavern storage potential (h2_salt_caverns_GWh_per_sqkm.geojson)
DOI: 10.5281/zenodo.5546516
title: Data Bundle for PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System

description: While small data files used in PyPSA-Eur-Sec are included directly in the git repository, larger ones are collected in this data bundle. The data bundle’s size is around 680 MB. <strong>Licenses</strong> Different licenses apply to the various components of this data bundle (mostly attribution). For details see https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements <strong>Changelog 0.3.1</strong> Fix IRENASTAT encoding <strong>Changelog 0.3.0</strong> Add IRENASTAT country-level power generation capacities. <strong>Changelog 0.2.0</strong> add hydrogen salt cavern storage potential (h2_salt_caverns_GWh_per_sqkm.geojson)
DOI: 10.7916/d8-9vba-pn54
title:  A Model for Turbulence Spectra in the Equilibrium Range of the Stable Atmospheric Boundary Layer: Data

description: This dataset is used for the paper “A model for Turbulence Spectra in the Equilibrium Range of the Stable Atmospheric Boundary Layer”. The dataset contains the spectra of turbulent kinetic energy and temperature from direct numerical simulations of stably stratified Ekman layer, eddy covariance measurements over Lake Geneva and at Dome C in Antarctica, and distributed temperature sensing observations of the stable atmospheric boundary layer in Oklahoma. Detailed introduction of the dataset can be found in the corresponding paper.
DOI: 10.7916/d8rr3fcw
title:  A Periodogram of Every Kepler Target and Quarter/Channel-Averaged Periodograms

description: Studying photometric time series in the frequency domain can serve as a means of detecting rotational modulations, measuring asteroseismic modes and even detecting short-period transiting planets. To our knowledge, there is no prior archive of the NASA Kepler Mission's power spectra and so we present one here to aid the community in searching for such effects. 2,594,616 individual periodograms are computed using Welch’s method and a Nuttall window, where we provide a unique periododogram for each quarter (up to 16) for each star (196,791 in total). Additionally, we normalize the periodograms in the high-frequency end and combine them into channel- and quarter-averaged spectra to track common instrumental modes occurring onboard the telescope, with a particularly curious feature at 80 minutes observed. File descriptions are provided in the readme.txt file.
DOI: 10.17632/w75ptk9xp8.1
title: LINF_250018900

description: cullin-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/tjmt97xpjf.1
title: ProAll-D

description: Allergy, often described as an autoimmune disorder, is a clinical condition characterized by the sensitivity of the immune system to normally innocuous elements. Breathing issues, food sensitivities, eczema, bronchopneumonia, and hypersensitivity reaction are examples of these conditions. Symptoms also include red eyes, itching, coughing, nasal congestion, breathing difficulty, or swelling. Typical allergens include pollen and certain foods. Food, insect bites, and drugs are all major causes of severe reactions. Their growth is influenced by both hereditary and environmental factors. Bioinformatics has been extensively utilized to predict allergens, involving a range of tools and methodologies. Even though discriminative algorithms such as support vector machines (SVM) have recently improved alignment methods, they are time-consuming if a new pattern must be compared to a huge amount of existing data. Another limitation of the alignment methods is that they won't develop a model of the true positive but rather estimate the average distances between protein sequences. We present a set of novel allergen prediction models based on protein characteristic values, ACC (auto and cross-covariance) transformation, and a variety of supervised learning, ensemble learning, and deep learning classification methods such as Gaussian Nave Bayes, Radius Neighbour’s Classifier, Extra Tree Classifier, Bagging Classifier, ADA Boost, Linear Discriminant Analysis, Quadratic Discriminant Analysis, and LSTM methods. LSTM was the best-performing model, with an accuracy of 91.51 percent.
DOI: 10.17632/jkxdtprddw.2
title: Data used in Morphological and anatomical variability of stems of an industrial hemp collection and properties of its fibers

description: This dataset is used to generate results for the research article, The morphological and anatomical variability of the stems of an industrial hemp collection and the properties of its fibres in the journal Heliyon. Industrial hemp (Cannabis sativa L.) is a leading fibre crop and it has a new range of industrial applications. However, the complexity of hemp germplasm resulted in insufficient information on the effect of genotypes on fibre quality and quantity. In this study, 16 fibre and non-fibre type hemp genotypes were evaluated to compare the morpho-anatomical differences of stems and physico-mechanical fibre properties under three retting methods. Hemp genotypes showed morphological variations that affect fibre processing and a unique pattern of fibre wedges in cross-sections of the basal internode. Fibre yield, tensile strength, colour, and moisture retention significantly varied among the genotypes. The hemp collection used in this study formed three clusters in principal component analysis and traits such as internodal length, node number, hurd yield, and tensile strength highly contributed to the total variability. Additionally, non-fibre type hemp genotypes that showed important fibre properties were identified. The dataset used to generate these results, images of cross-sections of hemp stems from 16 genotypes, and an image of rotten Abelmoschus which was used to obtain lesions for microbial retting of hemp stems are reposited here.
DOI: 10.17632/n5czcbd3bx.2
title: Covenant University COVID-19 Social Distancing Data

description: This data looks at behavioural changes and social distancing practices among residents in Covenant University, Ota, Nigeria, caused by the COVID-19 pandemic. The changes in behaviour affected their work, communication, crowd management, transportation, and recreation changes. The data show that respondents observed social distancing and adopted new behaviours because they were forced to stay in their homes. The males and females behaved alike.
DOI: 10.7916/d8-ra8s-0130
title:  Active authentication using file system decoys and user behavior modeling: results of a large scale study: Data

description: This dataset is a collection of operating system events associated with user events in a given period of time. It is formatted as a tuple consisting of time, action category, action type, and details related to that action, organized in the following form: [time stamp, category, action type, detail]. An example of a sequence representing one event for a given user may look like: [00:00:00 01/01/2013, file, open, c:\windows\somefile.txt 15:00:00:02]
DOI: 10.17632/f2sdwjrhpk.2
title: Pedagogical Skills Development for Engendering Continuous  Experience: The Learner Centric Approaches

description: In view of the shortcoming in traditional education methodologies, this data is an attempt to discuss in details, the conception about progressive educational methodologies; how it elate to rich and strong continuous experience which lead to formation of habits and attitudes, which is very aim of education. Further more importantly the paper is an elaborative attempt to understand the different learner centric approaches or methodologies that can be useful to the faculties while imparting education in the classrooms in today’s educational environment which is obsessed with use of computational technologies, such as thinking map and decolonizing classroom learner centric approach.