Land cover classes defined in the WorldCereal reference data repository.

Dataset used to compare the assessment results on the levels of Findability, Accessability, Interoperability and Reusability of datasets in a sample of repositories, by means of the F-UJI FAIR data assessment tool and FAIR-Enough assessment tool. Assessment carried out for the European Research Data Landscape study.

The Sample Characteristics dataset includes information on the participants who are included in the studies. This information is provided at the study level—meaning, data are not broken down into the specific treatment arms such as the intervention or control groups. Use this dataset if you want to learn more about the number of participants in the study; inclusion and exclusion criteria related to substance use and suicidality; baseline clinical characteristics such as PTSD severity, trauma type, military status, and comorbidities; and, basic demographic information such as age, gender or race for the sample as a whole (not individual participants). Visualizations made from this dataset will be based on the 496 RCTs included in the PTSD-Repository. Values reported as "NA" or not reported "NR" by the study are null values (empty cells). Data is at the study level.

This document includes the repository of results coming from a parametric analysis for the "Single-Family House" and "Multi-Family House" building types in the six European geo-clusters considered in the H2020 4RinEU Project (https://4rineu.eu/). It includes KPIs in the following thematic areas: energy, comfort, environment,economic issues and building site management. The repository consists of two Excel files, one per each building typology: Multi-Family House and Single-Family House. Each row of the file corresponds to one simulation with its related inputs and KPIs. The use of the repository allows the comparison between different renovation scenarios and it is the starting point for a preliminary analysis on the renovation in the design phase. A more detailed description of the structure of the repository and its content is in the Sustainability Journal article "Repository of Deep Renovation Packages Based on industrialized solutions: definition and application" by Pernetti Roberta, Pinotti Riccardo and Lollini Roberto.

This DSS presentation describes the Comprehensive Child Welfare Information System (CCWIS) Design Requirements, as defined by Federal Regulations 45 CFR 1355.53, the CCWIS Software Repository, as defined by Federal Regulations 45 CFR 1355.52(h), and CCWIS Options, as defined by Federal Regulations 45 CFR 1355.54.

Metadata-only record linking to the original dataset. Open original dataset below.

BackgroundDietary fiber is a broad category of compounds historically defined as partially or completely indigestible plant-based carbohydrates and lignin with, more recently, the additional criteria that fibers incorporated into foods as additives should demonstrate functional human health outcomes to receive a fiber classification. Thousands of research studies have been published examining fibers and health outcomes.Objectives(1) Develop a database listing studies testing fiber and physiological health outcomes identified by experts at the Ninth Vahouny Conference; (2) Use evidence mapping methodology to summarize this body of literature. This paper summarizes the rationale, methodology, and resulting database. The database will help both scientists and policy-makers to evaluate evidence linking specific fibers with physiological health outcomes, and identify missing information.MethodsTo build this database, we conducted a systematic literature search for human intervention studies published in English from 1946 to May 2015. Our search strategy included a broad definition of fiber search terms, as well as search terms for nine physiological health outcomes identified at the Ninth Vahouny Fiber Symposium. Abstracts were screened using a priori defined eligibility criteria and a low threshold for inclusion to minimize the likelihood of rejecting articles of interest. Publications then were reviewed in full text, applying additional a priori defined exclusion criteria. The database was built and published on the Systematic Review Data Repository (SRDR™), a web-based, publicly available application.ConclusionsA fiber database was created. This resource will reduce the unnecessary replication of effort in conducting systematic reviews by serving as both a central database archiving PICO (population, intervention, comparator, outcome) data on published studies and as a searchable tool through which this data can be extracted and updated.

Project Overview This study aims to highlight the meanings of the child to people living in a married couple in Benin. It stems from a larger data collection work on the understanding of high fertility among married Beninese based on their social representations of the child, medical contraception, abortion as well as their perceptions of the determinants of negotiation of the use of medical contraception in the married couple. To achieve this, semi-structured individual interviews were conducted with 30 volunteers of both sexes aged 18 and over. Analysis of the data shows that the respondents carry meanings of the child that are deeply rooted in the cultural realities of Benin or at the very least very out of step with the objectives of contraceptive propaganda. Thus, the government must consider these meanings of the child to optimize its fertility decline policy in Benin. Data Overview The shared data consist of a table listing the codes employed, their definitions, and relevant excerpts. The full transcripts cannot be shared due to participant confidentiality protections.

Data Repository for the Publication: Impact of competing energy scales on the shell-filling sequence in elliptic bilayer graphene quantum dots

Abstract:

We report on a detailed investigation of the shell-filling sequence in electrostatically defined elliptic bilayer graphene quantum dots (QDs) in the regime of low charge carrier occupation, N < 12, by means of magnetotransport spectroscopy and numerical calculations. We show the necessity of including both short-range electron-electron interaction and wavefunction-dependent valley g-factors for understanding the overall fourfold shell-filling sequence. These factors lead to an additional energy splitting at half-filling of each orbital state and different energy shifts in out-of-plane magnetic fields. Analysis of 31 different BLG QDs reveals that both valley g-factor and electron-electron interaction induced energy splitting increase with decreasing QD size, validating theory. However, we find that the electrostatic charging energy of such gate-defined QDs does not correlate consistently with their size, indicating complex electrostatics. These findings offer significant insights for future BLG QD devices and circuit designs.

This dataset tracks the updates made on the dataset "Antenatal screening and its possible meaning from unborn baby's perspective" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "Patent AT-E399920-T1: [Translated] SECURITY MEANS FOR WINDOWS AND METHODS" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "Digital analysis of cDNA abundance; expression profiling by means of restriction fragment fingerprinting" as a repository for previous versions of the data and metadata.

Research on meaning has begun to assess the specific facets of meaning in life. Few studies have examined the extent to which these facets distinguish meaning at the level of individual events. In the present study, participants from Singapore and the U.S. wrote about meaningful and meaningless events and rated the extent to which they experienced purpose, coherence, positive and negative implications for self and others, positive affect, and negative affect. In both samples, meaningful and meaningless events differed most in their levels of positive affect, purpose, and positive implications for the self. When entered as predictors of overall event meaningfulness, purpose and positive affect independently predicted meaning. Measures of coherence did not predict the meaningfulness of event with one exception. The extent to which an event offered a new understanding predicted meaning above and beyond purpose and PA. Implications for meaning assessment and theories of meaning are discussed.

This dataset is made from the Avila dataset obtained from the UCI Machine Learning Repository. Here is the description of the data from the above source:

Data Set Information:

Data have been normalized by using the Z-normalization method and divided into two data sets: a training set containing 10430 samples, and a test set containing the 10437 samples.

CLASS DISTRIBUTION (training set) A: 4286 B: 5 C: 103 D: 352 E: 1095 F: 1961 G: 446 H: 519 I: 831 W: 44 X: 522 Y: 266

Attribute Information:

F1: intercolumnar distance F2: upper margin F3: lower margin F4: exploitation F5: row number F6: modular ratio F7: interlinear spacing F8: weight F9: peak number F10: modular ratio/ interlinear spacing Class: A, B, C, D, E, F, G, H, I, W, X, Y

BackgroundMyelin and iron are major contributors to the cortical MR signal. The aim of this study was to investigate 1. Can MP2RAGE-derived contrasts at 7T in combination with k-means clustering be used to distinguish between heavily and sparsely myelinated layers in cortical gray matter (GM)? 2. Does this approach provide meaningful biological information?MethodsThe following contrasts were generated from the 7T MP2RAGE images from 45 healthy controls (age: 19–75, f/m = 23/22) from the ATAG data repository: 1. T1 weighted image (UNI). 2. T1 relaxation image (T1map). 3. INVC/T1map ratio (RATIO). K-means clustering identified 6 clusters/tissue maps (csf, csf/gm-transition, wm, wm/gm transition, heavily myelinated cortical GM (dGM), sparsely myelinated cortical GM (sGM)). These tissue maps were then processed with SPM/DARTEL (volume-based analyses) and Freesurfer (surface-based analyses) and dGM and sGM volume/thickness of young adults (n = 27, 19–27 years) compared to those of older adults (n = 18, 42–75 years) at p

Wind SWE Key Parameter data: proton density, thermal speed, flow velocity vectors, and spacecraft position vectors. Various versions differ slightly from each other. The version at MIT has flow velocity vectors experessed bby using Geocentric Solar Ecliptic, GSE, Cartesian and spherical representations and GSE Cartesian position vectors. The version available via nssdcftp and FTPBrowser has temperature instead of thermal speed and has no flow direction angles. The CDAWeb version has flow velocity and spacecraft position vectors in both GSE and Geocentric Solar Magnetospheric, GSM, coordinates, flow dynamic pressure, NmV^2, and velocity and density quality flags. The data were progressively despiked in passing from CDAWeb to MIT to nssdcftp/FTPBrowser.Use of the Quality Variables:Quality flags are set in the analysis program that generates the KP data. Previous descriptions of their meaning were out of date.Good data is indicated by a quality flag equal to 0.The quality flags for each parameter are given as integers 4 bytes long, integer4.The individual bits for each quality value are set or cleared in the analysis code by adding or subtracting a power of 2 as follows. To set the first bit, add 1, the second bit, add 2, the third bit, add 4, the fourth bit, add 8, and so on. See the table below.+------------------------------------------------------------------------------------------------------------------------------+| Bit | Set Value | MEANING ||------------------------------------------------------------------------------------------------------------------------------|| 1 | 1 | Three point parabolic fits to proton peaks were not attempted. || 2 | 2 | Non-linear least squares fit was not attempted. || 3 | 4 | Three point parabolic fits to proton peaks failed. || 4 | 8 | Non-linear least squares fit failed. || 5 | 16 | Alpha parameters not valid since the non-linear least squares fit was done for protons only. || | | Not enough good energy channels to do simultaneous alpha fit. This value applies to iqual_core(5) only. || 6 | 32 | Analysis code unable to get good value for spin period. || 7 | 64 | SWE instrument in mode 1, calibration state mode. Key parameters are produced in mode 1, science mode. || 8 | 128 | Three point fits done for cup 1 only. Split collector ratio of currents used to get the north/south angle. || | | Either cup 2 turned off, or cup 2 densities were low indicating noise associated with vibration. || 9 | 256 | Fewer than ten fc_blocks in spectrum. Analysis skipped. || 10 | 512 | Alpha particle non-linear fit produced values of density and thermal speed that do not seem reasonable. || 11 | 1024 | Three point parabolic fits to proton peaks done for cup 2 only. Probably Cup 1 is turned off. || | | The ratio of currents on split collectors used to get north/south angle. || 12 | 2048 | Single width windows. Delta E over E 6.5% instead of the default 13%. || 13 | 4096 | Tracking mode operation. || 14 | 8192 | Limited tracking mode scan, not a full scan. |+------------------------------------------------------------------------------------------------------------------------------+Particular flag settings:+-------------------------------------------------------------------------------------------+| Flag Value | Meaning ||-------------------------------------------------------------------------------------------|| 4098 | Tracking mode operation is full scan (4096) and No non-linear fits (2) || 14338 | Tracking mode operation is full scan (4096) and Limited tracking mode (8192) |+-------------------------------------------------------------------------------------------+Comments: Note that in bit 4 of the quality flag the non-linear fit may be reported as good for protons and, at the same time, not good for alphas. Non-linear fits are not done for Key Parameters, KPs, but those parameter values are excellent and should be used to do science. Non-linear fits are available are available in this data product, but they have problems which suggests strongly that the KP parameters should be used, see the paper by Kasper et al., Physics-based tests to identify the accuracy of solar wind ion measurements: A case study with the Wind Faraday Cups, J. Geophys. Res., 111, A03105, DOI: 101029/2005JA011442.* Note that all quality flag values that are even numbers are for data values when non-linear fits were not attempted.For the complete guide to the quality flag values see https://cdaweb.gsfc.nasa.gov/wind_swe_quality.html.Note that this SPASE Numerical Description only describes the MESSENGER Magnetometer data stored in Common Data Files. Other links to Wind SWE data in non CDF format are listed in the following table:+--------------------------------------------------------------------------------------------------------------------------------------------+| SPASE Repository Resource ID | Data Source | Data Access URL ||--------------------------------------------------------------------------------------------------------------------------------------------|| SMWG/Repository/MIT_CSR | ASCII via ftp from MIT | ftp://space.mit.edu/pub/plasma/wind/kp_files/ || SMWG/Repository/NASA/GSFC/SPDF | ASCII via ftps from SPDF | ftps://spdf.gsfc.nasa.gov/pub/data/wind/swe/ascii/swe_kp_unspike/ || SMWG/Repository/NASA/GSFC/SPDF | ASCII via https from SPDF | https://spdf.gsfc.nasa.gov/pub/data/wind/swe/ascii/swe_kp_unspike/ || SMWG/Repository/NASA/GSFC/SPDF | Subset, plot and list via FTPBrowser | https://omniweb.gsfc.nasa.gov/ftpbrowser/wind_swe_kp.html |+--------------------------------------------------------------------------------------------------------------------------------------------+