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  • In this research, we developed a high throughput method to systematically map functional connections from the dorsal cortex to the thalamus in awake mice by combing optogenetic inactivation with multichannel recording. Here, we provide: 1. Raw data of multi-units and single-units obtained in this study. 2. MATLAB codes for data analysis.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • 2. Muestra La muestra fue seleccionada de manera incidental entre los estudiantes de la Universidad de Almería durante el primer cuatrimestre del curso 2019-20. En total, respondieron al cuestionario completo 605 estudiantes de un total de 812 cuestionarios enviados a los universitarios matriculados en primero y segundo de la Facultad de Educación, con una tasa de respuesta del 74,5%. Si bien la tasa de respuesta es alta, la muestra además de basarse en un diseño no probabilístico tiene un cierto sesgo de edad (predominan jóvenes entre 17-19 años) y género (las mujeres son la mayoría). La matriz de datos en formato del paquete estadístico SPSS con toda la información detallada se encuentra disponible para descargar en Mendeley Data con el objeto de favorecer la transparencia y replicabilidad de los análisis (Fernández-Prados, 2020). 2. Instrumento El cuestionario contiene seis preguntas con un total de 21 items organizados en cuatro apartados, el primero con dos cuestiones sociodemográficas (sexo y edad), el segundo con otras dos preguntas relativas a la vía de acceso y dedicación diaria a internet, el tercero con una batería de cuatro ítems donde se interroga sobre finalidades y usos en internet (entretenerse, realizar trabajos universitarios, informarse y visitar redes sociales) sobre la base de una escala de frecuencia. Finalmente se plantea un listado de 11 acciones políticas y sociales en internet basadas en las recogidas en cuestionarios de encuestas nacionales e internacionales y las escalas de ciudadanía digital, con cuatro opciones de respuesta (“No lo he hecho y nunca lo haría”; “No lo he hecho, pero lo haría” “Lo he hecho anteriormente” y “Lo he hecho en los últimos 12 meses”). El análisis de fiabilidad de los 11 items alcanzó un alto coeficiente o alfa de Cronbach (.834)
    Data Types:
    • Software/Code
    • Dataset
  • This repository includes a solidWorks (2019) CAD model of a research quality double pendulum. Additionally, we have provided video data with trackers recorded at 1000 FPS and Encoder data to validate the video data analysis.
    Data Types:
    • Software/Code
    • Image
    • Video
    • Dataset
    • Text
    • File Set
  • The digital business research & publication dataset, which was indexed by Scopus from 1978 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
    Data Types:
    • Tabular Data
    • Dataset
  • This DB based on all available reports by the Communicational center of Government of the Russian Federation. Official Russian COVID-19 data published daily by the Government of Russia (on the Russian language) in the form of raw data is a daily updated report in a pdf form. Each piece has daily updates. We are providing a working link on every cell of data in the dataset. This DB is an attempt to manually collect critical variables from the report into a machine-readable format. These datasets are ready to be used for analysis and modeling. Variables: location; date; new cases [diagnosed]; cases [cumulative]; recovered [new]; recovered [cumulative]; deaths [new]; deaths [cumulative]; tests [new tests administered]; tests [cumulative]; test_positive [cumulative]; hospitalization [cumulative]; icu [cumulative or population]; on_invasive_ventilators [cumulative or population]; test_negative [cumulative]; hospital beds; web links. All Data divided by date (time) and regions (Oblast) of the Russian Federation.
    Data Types:
    • Tabular Data
    • Dataset
  • This data set provides information about a study conducted in Swemeh -Jordan to assess the economic impacts of a Prosopis juliflora invasion and gauge community preferences for management plans from 203 households. The data set includes information about the benefits and costs gained from Prosopis juliflora invasion, besides to the households' preferences between two policy responses: P. juliflora management or complete eradication.
    Data Types:
    • Tabular Data
    • Dataset
  • In the datasets, the scale of organizational culture based on eleven items of primary cultural values (PCV) and nine items of secondary cultural values (SCV). Work motivation variables in the datasets used four items of motive motivation (MM), seven items of expectation motivation (ME), and with nine items of incentive motivation (IM). Interpersonal communication variables were seven items of social sensitivity (SS), nine items of social insight (SI), and four items of social communication skills (SCM). The items, including labels and ratings, will be explained later, with more comprehensive details as supplementary material (see "Annotated Questionnaire" in supplementary material). This was because each item had different rankings and choices. To measure teacher performance used three scales from the book of effective teacher performance. The teacher performance scale used three variables of thirteen items of the learning process (LL), four items of scientific work (SW), and three items of service (S).
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • Dataset: heavy_metal_pollution_indice_data.xslx Dataset description: Concertation of trace metals (Al, Fe) and heavy metals (V, Cr, Co, Ni, Cu, Sn, As, Cd, Pb) given in mg/kg soil dry weight and calculated pollution indices (Igeo: Geoaccumulation Index; PLI: Pollution load index; RI: Potential ecological risk index). For methods of analyses and index calculation see method chapter in above mentioned publication Dataset: pavement_joint_features_Marburg_city.xlsx Dataset description: Features of pavement joints in the inner-city of Marburg (Hesse, Germany) recorded during field work. Distance_street: Distance (m) of each sampling point to next street. Height: Heigth (m a.s.l.) taken from DEM. Av_joint_size: Average joint size (cm) from 1 square meter pavement measured during field work. Plant_coverage: Plant coverage classified from 0 to 5. For further description of classes see above mentioned publication. Runoff:_accumulation: Runoff accumulation classified in three classes: 0 – 2.5 - 5. For further description of classes see above mentioned publication. pH: pH (KCl) values of pavement joint soil material. OM: Organic matter content (mass-%) of pavement joint soil material.
    Data Types:
    • Tabular Data
    • Dataset
  • We conducted an analysis to confirm our observations that only a very small percentage of public research data is hosted in the Institutional Data Repositories, while the vast majority is published in the open domain-specific and generalist data repositories. For this analysis, we selected 11 institutions, many of which have been our evaluation partners. For each institution, we counted the number of datasets published in their Institutional Data Repository (IDR) and tracked the number of public research datasets hosted in external data repositories via the Data Monitor API. External tracking was based on the corpus of 14+ mln data records checked against the institutional SciVal ID. One institution didn’t have an IDR. We found out that 10 out of 11 institutions had most of their public research data hosted outside of their institution, where by research data we mean not only datasets, but a broader notion that includes, for example, software. We will be happy to expand it by adding more institutions upon request. Note: This is version 2 of the earlier published dataset. The number of datasets published and tracked in the Monash Institutional Data Repository has been updated based on the information provided by the Monash Library. The number of datasets in the NTU Institutional Data Repository now includes datasets only. Dataverses were excluded to avoid double counting.
    Data Types:
    • Tabular Data
    • Dataset
  • The data were used in the paper entitled of "Analysis of Water Clarity Decrease in Xin’anjiang Reservoir, China, from 30-Year Landsat TM, ETM+, and OLI Observations". The uploaded dataset contains: (1) water clarity data and above-water remote sensing reflectance data which were collected in the Xin’anjiang Reservoir during 2013 to 2014. Specifically, the above-water remote sensing reflectance data were resampled to the remote sensing reflectance of different Landsat sensors (TM, ETM+ and OLI); (2) meteorological data in the Xin’anjiang Reservoir including air temperature and rainfall data were collected from 1960 to 2016; (3) socioeconomic data in the Xin’anjiang catchment including population, gross domestic product, chemical fertilizer usage and industrial sewage.
    Data Types:
    • Tabular Data
    • Dataset
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