Filter Results
198411 results
Attached are data that were used to calculate return flow for this study. We do not include geophysical data as it is too large and is still a niche field where few people are likely excited to work with those data. We will revisit publication of geophysical data if it turns out there is interest in using those data.
Data Types:
  • Dataset
  • Text
  • File Set
The data sets are organised in folders corresponding to the respective figures in the paper.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Text
Datasets and codes of the article : Machine Learning or Econometrics for Credit Scoring: Let's Get the Best of Both Worlds
Data Types:
  • Software/Code
  • Tabular Data
  • Document
  • Dataset
  • Text
Raw tweets of 4 Fridays in August 2017. This data has been gathered through Twitter API which covers a sample of all tweets available on Fridays 4, 11, 18 and 25 August 2017.
Data Types:
  • Dataset
  • Text
Providing information on the spatial distribution of habitat groups through land cover classification is useful for a wide range of environmental studies, especially those monitoring and managing succession and land cover change. While Corine Land Cover is widely used in standardised land cover comparisons, its strength is primarily its use in coarse scale analyses over large extent. Recently available Sentinel-2 combined with wide availability of open-source remote sensing software allows customised fine-scale land cover classifications to suit research projects applied over a smaller extent. In this regard, this study aims to test the suitability of Sentinel-2 imagery in providing a customised land cover classification for Shar Planina mountain range in North Macedonia, hoping that the results will serve as a background for assessment of its landscape visual quality as part of the ongoing PhD study (Jovanovska, D. 2018-2021). The results show that use of Sentinel-2 multiband high resolution images allows customized medium-large scale image classification that yields great accuracy results. Furthermore, frequent updating of Sentinel-2 database allows comparability and standardised land cover change analysis for the purpose of environmental monitoring. The resulting land cover data classification is uploaded as an .ASCII file accompanied with corresponding .lyr file and can serve as a background for subsequent environmental studies in the region. Finally, any further improvements of the final output, as well as trials on its suitability in studies with different aim and scope are encouraged and welcomed.
Data Types:
  • Software/Code
  • Document
  • Dataset
  • Text
dataset including results of the Data in Brief "Data for functional MRI connectivity in transgender people with gender incongruence and cisgender individuals" supplementary data from the "Brain network interactions in transgender individuals with gender incongruence" manuscript submitted to Neuroimage journal Original T1- and T2*-weighted images can be found in: doi:10.17632/hjmfrv6vmg.1
Data Types:
  • Other
  • Software/Code
  • Dataset
  • Text
  • File Set
Here is a combined dataset of genetic data on 2,643 individuals from 163 worldwide human populations. These genotypes were all generated on Illumina chips (550, 610, 660) for multiple different studies. The two main papers that this dataset was compiled for are: Hellenthal, et al 2014 A Genetic Atlas of Human Admixture History, Science; and Busby, et al 2015 The role of recent admixture in forming the contemporary West Eurasian genomic landscape, Current Biology. The data are in PLINK format and the BusbyWorldwidePopulations.csv file outlines where the different datasets come from. Note that because these two datasets were combined together, not all populations are typed on the same set of SNPs. We have included genotype data on 523,443 SNPs, of which 441,038 are genotyped on at least 97.5% of individuals. Therefore, additional QC steps are required to filter this set down to high quality calls, depending on the subset of samples that are required. Complete information about the populations used is available in the various publications that are outlined in the associated paper. Note that these same populations are available elsewhere and this dataset represents that compiled for the above mentioned papers. UPDATE 11/11/2019 Thanks to some heroic work by Kristján Helgi Swerford Moore at DECODE, I have now updated the population and sample information to more accurately and verbosely label the individuals.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Text
Files for Hardware design for build a Step Width System Capture
Data Types:
  • Other
  • Software/Code
  • Dataset
  • Text
  • File Set
This dataset contains the raw NMR data from the paper "15N Stable Isotope Labeling and Comparative Metabolomics Facilitates Genome Mining in Cultured Cyanobacteria" for the compounds aeruginosin 865, anabaenopeptin UIC827, and Nostopyrrolidonamide. The compounds were all identified using a stable isotope labeling-comparative metabolomics approach. The following dataset contains: 1H NMR spectrum (800 MHz, MeOH-d4) of aeruginosin 865 1H NMR spectrum (800 MHz, MeOH-d4) of anabaenopeptin UIC827 1H NMR spectrum (900 MHz, MeOH-d4) of Nostopyrrolidonamide DEPTQ spectrum (226 MHz, DMSO-d4) of Nostopyrrolidonamide COSY spectrum (800 MHz, MeOH-d4) of Nostopyrrolidonamide HSQC spectrum (800 MHz, MeOH-d4) of Nostopyrrolidonamide HMBC spectrum (800 MHz, MeOH-d4) of Nostopyrrolidonamide ROESY spectrum (800 MHz, MeOH-d4) of Nostopyrrolidonamide 15NHSQC spectrum (900 MHz, MeOH-d3) of Nostopyrrolidonamide 15NHMBC spectrum (900 MHz, MeOH-d3) of Nostopyrrolidonamide
Data Types:
  • Other
  • Software/Code
  • Document
  • Dataset
  • Text
Behavioral output from subjective ratings and memory response times during fMRI task. Output from a spatiotemporal and hippocampal-seed PLS analysis. Preprocessed fMRI contributing to the neuroimaging analysis.
Data Types:
  • Other
  • Software/Code
  • Tabular Data
  • Document
  • Dataset
  • Text
  • File Set
3