Dataset Open Access

Flood Modeling Dataset 1

Chang Wei Tan; Christoph Bergmeir; Francois Petitjean; Geoffrey I Webb


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/7e2e5ae1-a104-42f1-9478-83d76a1e966c/FloodModeling1_TEST.ts"
      }, 
      "checksum": "md5:d210dfb5f99c2af632a79e6def70d64c", 
      "bucket": "7e2e5ae1-a104-42f1-9478-83d76a1e966c", 
      "key": "FloodModeling1_TEST.ts", 
      "type": "ts", 
      "size": 380100
    }, 
    {
      "links": {
        "self": "https://zenodo.org/api/files/7e2e5ae1-a104-42f1-9478-83d76a1e966c/FloodModeling1_TRAIN.ts"
      }, 
      "checksum": "md5:ca5f7b2250f0bc2a8086821c5d65c8a6", 
      "bucket": "7e2e5ae1-a104-42f1-9478-83d76a1e966c", 
      "key": "FloodModeling1_TRAIN.ts", 
      "type": "ts", 
      "size": 882160
    }
  ], 
  "owners": [
    107790
  ], 
  "doi": "10.5281/zenodo.3902694", 
  "stats": {
    "version_unique_downloads": 126.0, 
    "unique_views": 176.0, 
    "views": 193.0, 
    "version_views": 193.0, 
    "unique_downloads": 126.0, 
    "version_unique_views": 176.0, 
    "volume": 141373120.0, 
    "version_downloads": 224.0, 
    "downloads": 224.0, 
    "version_volume": 141373120.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.3902694", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.3902693", 
    "bucket": "https://zenodo.org/api/files/7e2e5ae1-a104-42f1-9478-83d76a1e966c", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.3902693.svg", 
    "html": "https://zenodo.org/record/3902694", 
    "latest_html": "https://zenodo.org/record/3902694", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.3902694.svg", 
    "latest": "https://zenodo.org/api/records/3902694"
  }, 
  "conceptdoi": "10.5281/zenodo.3902693", 
  "created": "2020-06-21T13:22:49.172246+00:00", 
  "updated": "2021-03-24T02:34:22.014868+00:00", 
  "conceptrecid": "3902693", 
  "revision": 3, 
  "id": 3902694, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.3902694", 
    "description": "<p>This dataset is part of the Monash, UEA &amp;&nbsp;UCR time series regression repository.&nbsp;<a href=\"http://tseregression.org/\">http://tseregression.org/</a></p>\n\n<p>The goal of this dataset is to predict maximum water depth for flood modelling.&nbsp;The dataset contains 673 hourly rainfall events time series which are used to predict the maximum water depth of a domain (Digital Elevation Model, DEM). The rainfall events and DEM are generated synthetically by researchers at Monash University because real DEM data with accurate rainfall events are rare.&nbsp;<br>\n<br>\nData Donor<br>\nJihane Elyahyioui, jihane.elyahyioui@monash.edu</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Flood Modeling Dataset 1", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "3902693"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "3902694"
          }
        }
      ]
    }, 
    "communities": [
      {
        "id": "ts_regression"
      }
    ], 
    "keywords": [
      "time series", 
      "regression"
    ], 
    "publication_date": "2020-06-21", 
    "creators": [
      {
        "orcid": "0000-0001-8377-3241", 
        "affiliation": "Monash University", 
        "name": "Chang Wei Tan"
      }, 
      {
        "orcid": "0000-0002-3665-9021", 
        "affiliation": "Monash University", 
        "name": "Christoph Bergmeir"
      }, 
      {
        "orcid": "0000-0001-5334-3574", 
        "affiliation": "Monash University", 
        "name": "Francois Petitjean"
      }, 
      {
        "orcid": "0000-0001-9963-5169", 
        "affiliation": "Monash University", 
        "name": "Geoffrey I Webb"
      }
    ], 
    "access_right": "open", 
    "resource_type": {
      "type": "dataset", 
      "title": "Dataset"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.3902693", 
        "relation": "isVersionOf"
      }
    ]
  }
}
193
224
views
downloads
All versions This version
Views 193193
Downloads 224224
Data volume 141.4 MB141.4 MB
Unique views 176176
Unique downloads 126126

Share

Cite as