The current data of research "Peripheral members create and core members support: Role comparison of different positions in cooperation network during creative behaviour cooperation"
The file included two parts: the data used to draw the figures and the raw data of the current analysis.
The description of the raw data can be found in the "Description.txt" file in every folder.
Research Hypothesis - That cannabis may predispose to COVID-19 viral infection due to its immunomodulatory, envorinmental contaminants, vaping and smoking inhalation actions.
Data was analyzed by geospatial and causal inference techniques in R.
Data was gathered from publicly available on line sources including:
Data were downloaded from Publicly available datasets including:
• US Census bureau 2019
• Five Year American Community Survey 2013-2018
• National Survey of Drug Use and Health (NSDUH)
• NSDUH Resticted Use Data Analysis System (RDAS)
• US Department of Transport International Flight Data
• Worldometer Covid -19 Dataset
Data were collected in the six domains of:
• COVID numbers
• Fights – numbers of flights and numbers of overseas destionations
• Median household income
• State ethnic composition
• Population and population density
• Drug use
Inverse probability weights were constructed by inverse probability weighting conducted in package ipw in R.
Geospatial weights were constructed in package spdep in R.
This research utilizes bibliometric review of global management and public research in 2000-2019, through co-word analysis, co-author analysis, journal analysis, institution analysis, and country analysis. A total of 19,050 bibliographic records from Scopus core collection databases were selected and analyzed. The findings reveal an evolution of the research field on the management and public policy. The purpose of this data article
This dataset summarizes raw data used to build the pharmacokinetic model.
Patients were included if they were undergoing haemorrhagic cesarean section (blood loss > 800 mL) and receiving a single i.v dose of TA (0.5, 1 or 2 g over 1 minute). Non-inclusion criteria used were presented in the TRACES pilot study protocol.
The blood TDM samples were obtained from our patients at T0 (inclusion time, when bleeding ≥ 800 mL is diagnosed), T1 (at the end of injection), T15, T30, T60, T120, T180, and T360 (defined as 15, 30, 60, 120, 180 and 360 min after the injection). The urinary samples were collected within 6 hours after treatment.
Data acquired from an online survey, conducted from 5-20 May 2020. This data aimed to evaluate psychological wellbeing among Greater Jakarta Area residents using DASS-21, where we implemented linear regression to estimate such score using sociodemographic data. We also addressed misconception regarding COVID-19 and estimate correct / incorrect responses using Poisson regression models. Finally, we confirm the presence of communities with different commuting tendency using a graph-based analysis.
This datasets contained Near infrared spectral data as absorbance spectrum for biochar samples produced from agricultural residues. Actual data properties of biochar also available as fixed carbon, volatile matter and ash contents.
The advance of the agrarian frontier constitutes Nicaragua’s biggest environmental challenge as the major cause of complex processes of ecosystems degradation. I use the ESA-CCI land cover maps dataset and the UNCCD land cover classes (UNCCD-LC) to estimate its geospatial trend in terms of land cover changes at the country-level and the areas encompassing Bosawas and Río San Juan biosphere reserves from 1992 to 2015.
The ESA-CCI land cover maps generated at 300 m spatial resolution on an annual basis from 1992 to 2015 in TIF format (raster layers) were collected from the official website of the ESA-CCI (https://www.esa-landcover-cci.org/). The coordinate reference system of the maps is a geographic coordinate system based on the World Geodetic System 84 (WGS84) reference ellipsoid. The processing of the geospatial data was carried out using QGIS. The 36 ESA-CCI land cover classes (ESA-CCI-LC) were re-classified to the 7 UNCCD-LC (i.e., tree-covered, grassland, cropland, wetland, artificial, other land, and water body). The global-level maps were clipped to the country-level (Nicaragua) using the vector layers in SHP format collected from the official website of GADM (https://gadm.org/), and at the biosphere reserve-level (Bosawas y Río San Juan) using the vector layers in SHP format collected from the official website of Protected Planet (https://www.protectedplanet.net/). A pixel count approach was used to estimate each UNCCD-LC area. STATA was used to calculate UNCCD-LC area estimates in squared kilometers, each pixel counting for 300 m x 300 m which is the ESA-CCI land cover maps spatial resolution.
At the country-level, the analysis covered 124,552.2 km2. The total area might include land and water bodies. At the biosphere reserve-level, the analysis covered 19,548.2 km2 for Bosawas and 17,524.9 km2 for Río San Juan. In Basawas biosphere reserve, 41% (8,030.3 km2) of the total area belongs to core areas, whereas 69% (11,548.9 km2) to the buffer zone. In Río San Juan biosphere reserve, 48% (7,525.3 km2) of the total area belongs to core areas, whereas 52% (10,170.2 km2) to the buffer zone. The research finds that Nicaragua’s agrarian frontier has shown a remarkably strong advance during the last two decades, particularly from 1995 to 2007. The underlying land transition process has mainly implied the transformation of tree-covered into cropland or grassland areas. This process has also penetrated legally designated protected areas such as Bosawas and Río San Juan biosphere reserves.
Contributors:Rohit Salgotra, Supreet Singh, Urvinder Singh, Sriparna Saha, Amir H Gandomi
This dataset consists of COVID-19 time series data of India since 24th March 2020.
The data set is for all the States and Union Territories of India and is divided into five parts, including
i) Confirmed cases;
ii) Death Count;
iii) Recovered Cases;
iv) Temperature of that place; and
v) Percentage humidity in the region.
The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020.
The end user can contact the corresponding author (Rohit Salgotra : firstname.lastname@example.org) for more details.
[Dataset is updated After Thrice a Week]