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In this paper, the relationship between anisotropic mechanical properties and corresponding microstructure evolution of wrought magnesium alloys is critically reviewed. The experimental observations on the strong anisotropy (including strength differential effect) induced by texture and twinning are investigated under different loading conditions (i.e., monotonic loading, cyclic loading and multiaxial loading).
Data Types:
  • Tabular Data
  • Document
Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) based on RIVM reports in The Netherlands. Since 3 March, RIVM reports the number of diagnoses with the coronavirus and their municipality of residence on a daily base. The data contains the total number of positively tested patients. It is not a dataset with the current number of sick people in the Netherlands. The RIVM does not currently provide data on people who have been cured. RIVM provides daily updates of the data. The data is not stored in a persistent way and is updated on the fly. RIVM removes data from previous days from their website. Therefore, it is not possible to monitor the spread of the coronavirus disease in the Netherlands on this data standalone. The data in this publication is composed of hourly downloads of the data of the website of RIVM. All code to compose the data was found on https://github.com/J535D165/CoronaWatchNL as well as graphs based on the data.
Data Types:
  • Tabular Data
  • Dataset
Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) based on RIVM reports in The Netherlands. Since 3 March, RIVM reports the number of diagnoses with the coronavirus and their municipality of residence on a daily base. The data contains the total number of positively tested patients. It is not a dataset with the current number of sick people in the Netherlands. The RIVM does not currently provide data on people who have been cured. RIVM provides daily updates of the data. The data is not stored in a persistent way and is updated on the fly. RIVM removes data from previous days from their website. Therefore, it is not possible to monitor the spread of the coronavirus disease in the Netherlands on this data standalone. The data in this publication is composed of hourly downloads of the data of the website of RIVM. All code to compose the data was found on https://github.com/J535D165/CoronaWatchNL as well as graphs based on the data.
Data Types:
  • Tabular Data
  • Dataset
Data on competency (360 degree feedback), employability and career success
Data Types:
  • Tabular Data
  • Document
Filename: 1_wind_vector_tunnels.xlsx Variables: 1. variant - experimental approach: W- wind tunnel; V - vector tunnel 2. rep_id - repetition number 3. pop - population size on the source patch 4. n_disp - number of individuals that left the source patch 5. n_col - population size on the target patch after several generations Filename: 2_departure_tunnel.xlsx Variables: 1. variant - host plant species: B - smooth brome (Bromopsis inermis); W - wheat (Triticum aestivum) 2. rep_id - - repetition number 3. n_beg - number of individuals at the beginning of the experimental session 4. n_end - number of individuals at the end of the experimental session 5. n_blown - number of individuals blown away
Data Types:
  • Tabular Data
  • Dataset
This database provides construction of Large Urban Regions (LUR) in the world. A Large Urban Region (LUR) can be defined as an aggregation of continuous statistical units around a core that are economically dependent on this core and linked to it by economic and social strong interdependences. The main purpose of this delineation is to make cities comparable on the national and world scales and to make comparative social-economic urban studies. Aggregating different municipal districts around a core city, we construct a single large urban region, which allows to include all the area of economic influence of a core into one statistical unit (see Rozenblat, 2020 or Rogov & Rozenblat, 2020 for Russia). In doing so we use four principal urban concepts (Pumain et al., 1992): local administrative units (Municipality or localities: MUNI), morphological urban area (MUA), functional urban area (FUA) and conurbation that we call Large Urban Region (LUR). The LURs are the spatial extensions of influence of one or several FUAs or MUAs. MUAs and FUAs are defined by various national or international sources. We implemented LURs using criteria such as the population distribution among one or several MUAs or FUAs, road networks, access to an airport, distance from a core, presence of multinational firms. FUAs and MUAs perimeters, if they form a part of a LUR, belong to a unique LUR. In this database we provide the composition of the LURs in terms of local administrative units (MUNI), Morphological Urban Area (MUA), Functional Urban Area (FUA).
Data Types:
  • Tabular Data
  • Dataset
ESEC/FSE 2020 Submission #527 Dataset This dataset contains the NPM packages that we built using our tool-chain. It consists of the diffoscope outputs, the versions built by our tool-chain, and the pre-built packages present on the npmjs registry.
Data Types:
  • Tabular Data
  • Dataset
  • File Set
Keynote presentation slides from the International Digital Curation Conference 2020 in Croke Park, Dublin.
Data Types:
  • Slides
  • Document
The data and Python script are part of the forum article "A text mining analysis of the climate change literature in industrial ecology" authored by Dayeen, F.R., Sharma, A.S., and Derrible, S., and published in the Journal of Industrial Ecology in 2020. The Python script and instructions are included in the LiTCoF_v1.00-py.zip file. The original data is available in two formats: .csv and .pkl. Updates of the script will be posted at https://github.com/csunlab/LiTCoF and at https://csun.uic.edu/codes/LiTCoF.html. The data is also available at https://csun.uic.edu/datasets.html#AbstractsIE. Feel free to contact any of the authors for information and questions about the data and code.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • File Set
Conference Poster
Data Types:
  • Slides
  • Document