cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4sk92gx628.1
title: Data from: Deciphering the biology and chemistry of the mutualistic partnership between Bacillus velezensis and the mycorrhizal fungus Rhizophagus irregularis

description: Arbuscular mycorrhizal (AM) fungi (e.g. Rhizophagus species) recruit specific bacterial species in their hyphosphere. However, the chemical interplay and the mutual benefit of this intricate partnership have not been investigated yet, especially as it involves bacteria known as strong producers of antifungal compounds such as Bacillus velezensis. Here, we show that the soil dwelling B. velezensis migrates along the hyphal network of the AM fungus R. irregularis, forming biofilms and inducing cytoplasmic flow in the AM fungus that contributes to host plant root colonization by the bacterium. During hyphosphere colonization, R. irregularis modulates the biosynthesis of specialized metabolites in B. velezensis to ensure stable coexistence and as a mechanism toward-off mycoparasitic fungi and bacteria. These mutual benefits are extended into a tripartite context via the provision of enhanced protection to the host plant through the induction of systemic resistance.
DOI: 10.17632/wgydxxjhs5.1
title: Data for: Modeling and Optimizing the Photo-Electro-Catalytic Degradation of Methylene Blue by Response Surface Methodology

description: These files contain: A: The experimental design and responses based on experimental trials B: ANOVA for the regression model C: The predicted and observed values of the model at optimal conditions
DOI: 10.17632/pc7yngsgr5.1
title: A Step-like Crustal Growth Pattern in Response to the Evolution of Supercontinent Cycles: Evidence From the Eastern Central Asian Orogenic Belt

description: This dataset includes Table S1 to S5 of the article "A Step-like Crustal Growth Pattern in Response to the Evolution of Supercontinent Cycles: Evidence From the Eastern Central Asian Orogenic Belt" . Table S1. The locations, ages and reference citations for the Proterozoic–Phanerozoic granitoids in the Songnen Massif Table S2. The ages, Hf isotopes and reference citations for the granitoids in the Duobaoshan area Table S3. Zircon U-Pb dating results for the Proterozoic–Phanerozoic granitoids in the Songnen Massif Table S4. Zircon Hf isotopic data for the Proterozoic–Phanerozoic granitoids in the Songnen Massif Table S5. The locations, ages, Hf isotopes and reference citations for the mafic igneous rocks in the Songnen Massif
DOI: 10.17632/vp2wc9hktz.3
title: Stable isotope data for Globigerina bulloides and Cibicidoides pachyderma, benthic foraminiferal census counts and relative abundance of the elevated epibenthos group at Site U1391

description: Previous modeling has shown that Mediterranean Outflow Water (MOW) variability may affect the formation of North Atlantic Deep Water, which may stabilize or destabilize the thermohaline circulation, and hence trigger climate change. Therefore, understanding the MOW dynamics throughout the geological history is of great significance to decode past and predict future climate changes. Site U1391 (37°21.532’ N, 9°24.656’ W; 1085 m water depth) is situated in the northeastern Atlantic Ocean off the southwestern Iberian margin, and in the distal area of the lower Mediterranean Outflow Water (MOW) core. Foraminiferal stable oxygen and carbon isotopes and benthic foraminiferal records from the 415-m-long composite section at Site U1391 were analyzed to decipher the MOW variability over the last 1.3 myr. Planktonic and benthic foraminiferal oxygen isotope data (δ18O of Globigerina bulloides and Cibicidoides pachyderma) were used to establish the chronostratigraphic framework. This section encompasses the time interval from marine isotope stage (MIS) 1 to MIS 40 (0-1.3 Ma). C. pachyderma δ13C can be used as a tracer for reconstructing the ventilation of past deep-water masses. The benthic δ13C maxima often corresponded to precession maxima and the benthic δ13C minima to precession minima, revealing that the bottom water ventilation off the Portugal increased at precession maxima and decreased at precession minima. Elevated epifaunal species are directly related to the presence of the MOW and can be used as a proxy for MOW reconstruction during the Pleistocene. The variations in the relative abundance of the elevated epibenthos group suggested that the MOW intensity had ~100-kyr, ~41-kyr and ~20-kyr cycles during the last 1.3 myr. The precession forcing was the predominant driver of the~20-kyr cyclic variation in the MOW intensity. The ~41-kyr cyclic variation in the pre- and post-MPT MOW dynamics was strongly controlled by the Earth’s obliquity, and the variation during the MPT was controlled by precession. The variation in the abundance of the elevated epibenthos group was dominated by the ~41-kyr cycle prior to the MPT and had a significant ~100-kyr cycle after the MPT, which suggested there was a MPT-related shift in the MOW dynamics.
DOI: 10.17632/3c57btcxy9.1
title: Bollywood Movies data

description: Using a Python script to scrape data from the web, we collected data pertaining to all 1698 Hindi language movies that released in India across a 13 year period (2005-2017) from the website of Box Office India.
DOI: 10.17632/nw5m4hs3jr.3
title: COVID-19 Combined Data-set with Improved Measurement Errors

description: Public health-related decision-making on policies aimed at controlling the COVID-19 pandemic outbreak depends on complex epidemiological models that are compelled to be robust and use all relevant available data. This data article provides a new combined worldwide COVID-19 dataset obtained from official data sources with improved systematic measurement errors and a dedicated dashboard for online data visualization and summary. The dataset adds new measures and attributes to the normal attributes of official data sources, such as daily mortality, and fatality rates. We used comparative statistical analysis to evaluate the measurement errors of COVID-19 official data collections from the Chinese Center for Disease Control and Prevention (Chinese CDC), World Health Organization (WHO) and European Centre for Disease Prevention and Control (ECDC). The data is collected by using text mining techniques and reviewing pdf reports, metadata, and reference data. The combined dataset includes complete spatial data such as countries area, international number of countries, Alpha-2 code, Alpha-3 code, latitude, longitude, and some additional attributes such as population. The improved dataset benefits from major corrections on the referenced data sets and official reports such as adjustments in the reporting dates, which suffered from a one to two days lag, removing negative values, detecting unreasonable changes in historical data in new reports and corrections on systematic measurement errors, which have been increasing as the pandemic outbreak spreads and more countries contribute data for the official repositories. Additionally, the root mean square error of attributes in the paired comparison of datasets was used to identify the main data problems. The data for China is presented separately and in more detail, and it has been extracted from the attached reports available on the main page of the CCDC website. This dataset is a comprehensive and reliable source of worldwide COVID-19 data that can be used in epidemiological models assessing the magnitude and timeline for confirmed cases, long-term predictions of deaths or hospital utilization, the effects of quarantine, stay-at-home orders and other social distancing measures, the pandemic’s turning point or in economic and social impact analysis, helping to inform national and local authorities on how to implement an adaptive response approach to re-opening the economy, re-open schools, alleviate business and social distancing restrictions, design economic programs or allow sports events to resume.
DOI: 10.17632/sv95c7ydpy.9
title: Dataset on Social and Psychological Effects of the COVID-19 Pandemic in Turkey

description: This data was collected to investigate how intolerance to distress and anxiety affects some of the behaviors that can be changed in response to the Covid-19 pandemic. This dataset comes from a survey of 2,868 people in Turkey about the effects of the Covid -19 pandemic. The dataset is ideal for studying how the Covid -19 pandemic shaped people's intolerance to distress and anxiety. The survey looked at personal cleaning habits, bank/credit card usage, online shopping, personal security, and stockpiling. The data also included whether an individual or a household member had been officially diagnosed with Covid-19 and socio-demographic data.

- For detailed data descriptor, please visit: 
https://www.nature.com/articles/s41597-022-01563-4

- For citation of its data descriptor:
Sari, E., Kağan, G., Karakuş, B.Ş. et al. Dataset on social and psychological effects of COVID-19 pandemic in Turkey. Sci Data 9, 441 (2022). https://doi.org/10.1038/s41597-022-01563-4
DOI: 10.17632/fhyy8ztcjx.2
title: Code repository for "Intermediation Frictions in Debt Relief: Evidence from CARES Act Forbearance"

description: Code repository and pseudo-data for the paper "Intermediation Frictions in Debt Relief: Evidence from CARES Act Forbearance"; to accompany the published paper appearing in the Journal of Financial Economics.
DOI: 10.17632/hd3j7mdm2p.2
title: Comprehensive single-cell transcriptional profiling defines shared and unique epithelial injury responses during kidney fibrosis

description: This repository contains supporting data for our manuscript "Comprehensive single-cell transcriptional profiling defines shared and unique epithelial injury responses during kidney fibrogenesis". File descriptions can be found in data_description.txt.
DOI: 10.17632/24hhdyfphv.2
title: Analysis of pork price fluctuations during the special era when African Swine Fever and COVID-19 epidemic coexisted: An empirical study in Macau, China

description: These are the source data proposed in Analysis of Pork Price Fluctuations in the Special Period of the Coexistence of African Swine Fever and Novel Coronavirus Pneumonia: An Empirical Study in Macau, China
DOI: 10.17632/3dhn4xnjxw.1
title: A dataset for Wi-Fi-based human-to-human interaction recognition

description: This dataset contains Wi-Fi signals that were recorded from 40 different pairs of subjects while performing twelve different human-to-human interactions in an indoor environment. Each pair of subjects performed ten trials of each of the twelve interactions and the total number of trials recorded in our dataset for all the 40 pairs of subjects is 4800 trials (i.e., 40 pairs of subjects × 12 interactions × 10 trials). The publicly available CSI tool is used to record the Wi-Fi signals transmitted from a commercial off-the-shelf access point, namely the Sagemcom 2704 access point, to a desktop computer that is equipped with an Intel 5300 network interface card. The recorded Wi-Fi signals consist of the Received Signal Strength Indicator (RSSI) values and the Channel State Information (CSI) values.
DOI: 10.17632/73n5hrn8hh.1
title: VegNet: Vegetable Dataset with quality (Good & Bad quality)

description: Fast and precise vegetable classification or recognition as per quality parameter is the unmet need of agriculture business. This is an open research problem, which always attracts researchers. Machine learning and deep learning techniques have shown very promising results for the classification and object detection problems. Neat and clean dataset is the elementary requirement to build accurate and robust machine learning models for the real-time environment. With this objective we have created an image dataset of Indian four vegetable with quality parameter which are highly consumed or exported. Accordingly, we have considered four vegetables namely bell pepper, tomato, Indian green chili, and new Mexican green chili to create a dataset. The dataset is categorized into 4 subfolders of vegetables namely bell pepper, tomato, Indian green chili, and new Mexican green chili. Further each vegetable folder contains four subfolders namely 1) Multiple Mature, 2) Single Mature, 3) Multiple Over Mature, and 4) Single Over Mature vegetable classes. Total 6793 images are available in the dataset. We strongly believe that the proposed dataset is very helpful for training, testing and validation of vegetable classification or reorganization machine leaning model.
DOI: 10.17632/fwg2m5sfyf.1
title: F_HB_Econ_Model_Housing

description: Replication files for the article: "Government expenditure and the housing puzzle: Unpacking mechanisms" by Javier Ferri and Francisca Herranz-Baez
DOI: 10.17632/8v757rr4st.1
title: Crop Recommendation using Soil Properties and Weather Prediction Dataset

description: The dataset is comprehensive, encompassing various key factors critical to machine learning-based crop recommendation systems. The soil properties dataset includes detailed information such as specific locations identified by latitude and longitude coordinates, soil pH, soil color, surface soil composition, electrical conductivity, and a range of soil macro and micronutrients. These factors are essential in determining the suitability of different crops to various soil types. The crop type information in the dataset primarily comprises cereals, reflecting the major crops in the regions under study.

The climate features dataset includes a broad spectrum of environmental conditions crucial for crop growth. This includes specific location data (latitude and longitude coordinates), as well as seasonal variations such as maximum and minimum temperatures, precipitation levels, humidity, wind speed and direction, surface pressure readings, and cloud cover assessments. These features provide insights into the climatic conditions that crops will experience throughout the growing season. The climate data has been sourced from the National Aeronautics and Space Administration's (NASA) cloud infrastructure.

The soil properties and crop type data have been procured from the Ethiopian Agricultural Transformation Agency (ATA), ensuring that the dataset is grounded in reliable and locally relevant agricultural data. Additionally, crop production data has been obtained from the Ethiopian Statistics Service (ESS), providing a historical context for the crop types included in the dataset. The process of data collection was methodical. Initially, soil properties and crop type data were gathered. Following this, climate feature data was collected based on specific years and geographical coordinates (latitude and longitude), with an emphasis on anticipating the conditions for the upcoming season. This structured approach ensures that the dataset is well-rounded, providing a solid foundation for the development of a machine learning-based crop recommendation system.
DOI: 10.17632/jwvfshfbr4.1
title: Complementary material

description: 1. .csv file obtained from scopus for the query of the investigated topic, for which I make a state of the art using the Vosviewer software as a complementary tool.
2. Links to download the Vosviewer executable file with co-citation maps and bibliometric coupling
DOI: 10.17632/s6zh89fb5c.1
title: The roadless map of Greece

description: Scientific context In a biodiversity crisis era, land use change is the top threat for biodiversity decline, and road sprawl a key driver behind it globally. Roads cause direct habitat loss and fragmentation and a suite of negative environmental impacts (Ibisch et al. 2016). The dataset is developed for Greece, being less fragmented than the rest of Europe, but with higher rates of fragmentation increase. Description The dataset presents the roadless areas (RAs) of Greece (2/2020) in kmz format. RAs are defined as those land patches of a size greater than 1 sq.km that are at least 1 km away from the nearest road. Intersected by 367,370.74 km of roads, the Greek landscape is shattered in 4,659 patches (&gt;1 km away from any road). The dataset presents the 1,115 RAs, accounting for 4.99% of the Greek land. This proportion is the Roadless Fragmentation Indicator (RFI), that can act as a straightforward finer scale indicator pinpointing areas of minimal anthropogenic pressures at more natural landscapes. The map includes high and medium confidence data. Red polygons indicate the RAs with an area ≥50 sq.km (high confidence data). They cover 0.51% of the Greek land and are located in six remote mountains: Lefka Ori, Timfi, Olympos, Taygetos, Saos, and Smolikas. Orange polygons indicate the RAs with an area 1-50 sq.km. Significance, use, limitations The database can be used: • to assess and monitor fragmentation in Greece in more natural ecosystems in terms of the RFI. Note the association with the SEBI 13 indicator (EEA 2012) • to pinpoint the remaining least disturbed natural areas that they should be legally protected as road-free zones supporting biodiversity conservation and ecosystem services. Note the suggested enlargement of the network of protected areas by the new European Biodiversity Strategy (EC 2020). • to guide spatial planning towards canalizing development projects, and related infrastructures in already developed and fragmented lands outside the larger RAs (e.g. sectors of renewable energy, tourism, transport etc) • to trigger policies towards landscape conservation and fragmentation minimization (CoE 2000; EC 2011). The database needs regular updating to be reliably used in conservation policy and in spatial planning for projects across various economic sectors. Funding This work was funded by the Green Fund of Greece References CoE 2000. https://www.coe.int/en/web/conventions/full-list/-/conventions/treaty/176 EC 2011. http://ec.europa.eu/science-environment-policy EC 2020. https://ec.europa.eu/info/files/communication-eu-biodiversity-strategy-2030-bringing-nature-back-our-lives_en EEA 2012. https://www.eea.europa.eu/publications/streamlining-european-biodiversity-indicators-2020 Ibisch et al. 2016. http://doi.org/10.1126/science.aaf7166
DOI: 10.17632/g94823v5vw.1
title: Does Transcranial Direct Current Stimulation Enhance Exercise-Induced Hypoalgesia?

description: The present study aimed to investigate if EIH is enhanced by anodal tDCS over the motor cortex. It was hypothesised that an exercise task would produce a greater increase in pain thresholds when preceded by anodal tDCS compared to sham tDCS. An additional aim of this study was to assess the independent effect of tDCS on pain sensitivity. It was hypothesised that anodal tDCS would induce a significant decrease in pain sensitivity when compared to sham stimulation immediately after stimulation. The current study implemented a within-subjects, single-blinded, sham-controlled, randomised block design. Participants were required to attend the laboratory on three separate occasions; a familiarisation session and two experimental sessions corresponding to two different experimental conditions (anodal tDCS, sham tDCS). 

Study protocols followed those approved by the local human research ethics committee (Project ID: 11882). Each participant visited the laboratory on three separate occasions, with the two experimental conditions presented in a randomised order. Before each session, participants refrained from consuming caffeine or analgesic medications or engaging in vigorous exercise for at least 24 hours. All experimental protocols were conducted in the same temperature controlled (~ 23 ℃, 33% humidity) laboratory. All conditions were separated by at least two days to ensure recovery from the exercise task and to minimise carry-over effects of the stimulation.
DOI: 10.17632/2j8j8wfbfd.1
title: Presentación análisis sobre lectura de Teoría contable

description: La presentación contiene una síntesis esquemática sobre la lectura de teoría contable denominada Modelos contables y su realidad: Una aproximación a su relación del autor Machado, Marco Antonio (2004), con el propósito de facilitar a los estudiantes de los cursos de teorías de la contabilidad un material de apoyo para su mejor comprensión. Los elementos utilizados y explicados por el autor se basan en el concepto de modelo, modelo contable, modelo interpretativo, modelo representativo, enfoques del modelo contable, visión metodológica, visión epistemológica del modelo contable, así mismo describe cuales deben ser las características de un nuevo modelo contable.
DOI: 10.17632/6mp2txkjnw.1
title: On the migration of youngsters’ Internet access from school computers to personal mobile phones and their change in the use of the Internet

description: Despite the increasing home and mobile broadband Internet access, making the use of the Internet to become ubiquitous in students' lives, the availability of computers for students in schools has been drastically reduced since 2010 and the migration of students' Internet access to smartphones did not occur within schools, where its use is prohibited. Most importantly than the migration of students' Internet access from computers to personal mobile devices, however, there was also a significant qualitative replacement in that process outside of school, namely in the finality of the Internet access, with a vast predominance of entertainment activities over 'doing homework'. This dataset contains data on: - Computers installed by school place by region in Brazil from 2010 to 2013 (file computersInSchoolByPlace.csv), - Households with Internet access by region in Brazil from 2006 to 2017 (file householdsInternetAccessByRegion.csv) - Youngsters (11-17 years old) Internet access by device and region in Brazil from 2012 to 2015 (file youngstersInternetAccessByDevice.csv) - Most frequent location of youngster individual access to the internet, by region in Brazil from 2008 to 2015 (file youngstersInternetAccessByPlace.csv) - Households with Internet access by social class in Brazil from 2006 to 2017 (file householdsInternetAccessByClass.csv) - Youngsters’ (11-17 years old) use of the Internet by activity, by region in Brazil from 2012 to 2015 (file youngstersInternetAccessByActivity.csv)
DOI: 10.17632/7w2rg95nkv.1
title: DEMONETIZATION AND ITS IMPACT: A STUDY ON INDIAN FMCG SECTOR

description: Demonetization of all the Rs.500 and Rs.1000 denomination banknotes is an attempt to curb black money, fake notes and to achieve other ancillary objectives. Numerous debates have been held over this move and various pros and cons of demonetization have come into picture. Against these backdrops, in this paper it is tried to find out the immediate effect of demonetization on the FMCG sector. It is likely that immediate cash crunch arising out of demonetization is likely to impact the sales and other performance of FMCG Companies. Analysis is made on the quarterly performance on the selected FMCG companies and annual reports are thoroughly scrutinized to find out the views of the companies concerned on demonetization and its effect. The content analysis is made by searching for terms Like “demonetization”, cash-crunch cash shortage etc. The analysis reveals that most of the sample companies have made some disclosure in the annual report on demonetization. Our analysis reveals that for 7 companies there is absolute negative growth in sales and for 4 companies sales growth is lower as compared to sales growth of corresponding quarter of previous year in respect of December end quarter.