ASSIST-IoT weather (graphs variant)
type: Dataset
distribution: 100K elements flat distribution
distribution: 100K elements graph stream distribution
has stream element type: graphs
theme: spatial
theme: temporal
license: CC-BY-4.0
has stream element count: 701278
uses ontology: om-2
temporal resolution: PT10S
theme: sensorData
language: en
creator: Piotr Sowiński
  has doc weight: 1
  nick: Ostrzyciel
distribution: 10K elements flat distribution
conforms to rdf11: true
uses ontology: ssn
has version: 1.0.0
uses ontology: prov
uses generalized rdf datasets: false
description: This is a timestamped stream of weather data collected with a Davis Vantage Pro 2 weather station installed on the building of the [Systems Research Institute, Polish Academy of Sciences](https://www.ibspan.waw.pl/en/home/). The data was collected during the [ASSIST-IoT Horizon 2020 project](https://assist-iot.eu/). The station measured several different weather parameters and transmitted them in real time at regular intervals. The measurements have rich annotations with the [SOSA/SSN](https://www.w3.org/TR/vocab-ssn/) and [OM 2.0](http://www.ontology-of-units-of-measure.org/page/om-2) ontologies. The stream is very regular and the elements only differ by numeric values and timestamps. This is the graph variant, which is a timestamped graph stream compatible with the RSP Data Model. The dataset is a real application of RDF streaming (originally streamed over MQTT), with much richer annotations than [citypulse-traffic](https://w3id.org/riverbench/datasets/citypulse-traffic). On the other hand, it is perfectly regular, with no differences in structure between stream elements.
creator: ASSIST-IoT Horizon 2020 project
  has doc weight: 2
  comment: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957258.
uses ontology: sosa
modified: 2023-05-09
uses ontology: geosparql
distribution: 10K elements graph stream distribution
theme: meteorological
conforms to rdf star draft 20211217: true
distribution: Full flat distribution
distribution: Full graph stream distribution
has stream element split: TimeStreamElementSplit
  comment: Each stream element corresponds to one set of measurements from the weather station. Data was collected every 10 seconds.
  has temporal property: atTime
issued: 2023-05-04
conforms to: metadata
uses rdf star: false
uses generalized triples: false

100K elements flat distribution
type: Distribution
has stream element count: 100000
byte size: 53040640
has statistics: ObjectCountStatistics
  has doc weight: 9
  maximum: 57
  mean: 56.05786
  minimum: 54
  standard deviation: 0.6091077247910989
  sum: 5605786
checksum: Checksum
  algorithm: checksumAlgorithm md5
  has doc weight: 1
checksum: Checksum
  algorithm: checksumAlgorithm sha1
  has doc weight: 2
has statistics: LanguageLiteralCountStatistics
  has doc weight: 5
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
  unique count: 0
has statistics: StatementCountStatistics
  has doc weight: 11
  maximum: 116
  mean: 116.0
  minimum: 116
  standard deviation: 0.0
  sum: 11600000
has distribution type: partialDistribution
compress format: application/gzip
has file name: flat_100K.nq.gz
media type: application/n-quads
has statistics: IriCountStatistics
  has doc weight: 0
  maximum: 67
  mean: 67.0
  minimum: 67
  standard deviation: 0.0
  sum: 6700000
  unique count: 100071
has statistics: BlankNodeCountStatistics
  has doc weight: 1
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has statistics: LiteralCountStatistics
  has doc weight: 2
  maximum: 13
  mean: 12.05786
  minimum: 10
  standard deviation: 0.609107724790959
  sum: 1205786
  unique count: 102024
has statistics: GraphCountStatistics
  has doc weight: 10
  maximum: 1
  mean: 1.0
  minimum: 1
  standard deviation: 0.0
  sum: 100000
has statistics: DatatypeLiteralCountStatistics
  has doc weight: 4
  maximum: 11
  mean: 10.05786
  minimum: 8
  standard deviation: 0.6091077247909473
  sum: 1005786
  unique count: 102022
has doc weight: 3
download URL: https://w3id.org/riverbench/datasets/assist-iot-weather-graphs/1.0.0/files/flat_100K.nq.gz
has statistics: SimpleLiteralCountStatistics
  has doc weight: 3
  maximum: 2
  mean: 2.0
  minimum: 2
  standard deviation: 0.0
  sum: 200000
  unique count: 2
has statistics: QuotedTripleCountStatistics
  has doc weight: 6
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has statistics: PredicateCountStatistics
  has doc weight: 8
  maximum: 13
  mean: 13.0
  minimum: 13
  standard deviation: 0.0
  sum: 1300000
has statistics: SubjectCountStatistics
  has doc weight: 7
  maximum: 31
  mean: 31.0
  minimum: 31
  standard deviation: 0.0
  sum: 3100000
has distribution type: flatDistribution

100K elements graph stream distribution
type: Distribution
has statistics: DatatypeLiteralCountStatistics
  has doc weight: 4
  maximum: 11
  mean: 10.05786
  minimum: 8
  standard deviation: 0.6091077247909473
  sum: 1005786
  unique count: 102022
byte size: 13644846
has distribution type: partialDistribution
has statistics: GraphCountStatistics
  has doc weight: 10
  maximum: 1
  mean: 1.0
  minimum: 1
  standard deviation: 0.0
  sum: 100000
has statistics: IriCountStatistics
  has doc weight: 0
  maximum: 67
  mean: 67.0
  minimum: 67
  standard deviation: 0.0
  sum: 6700000
  unique count: 100071
has statistics: ObjectCountStatistics
  has doc weight: 9
  maximum: 57
  mean: 56.05786
  minimum: 54
  standard deviation: 0.6091077247910989
  sum: 5605786
has statistics: SimpleLiteralCountStatistics
  has doc weight: 3
  maximum: 2
  mean: 2.0
  minimum: 2
  standard deviation: 0.0
  sum: 200000
  unique count: 2
has statistics: BlankNodeCountStatistics
  has doc weight: 1
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has statistics: SubjectCountStatistics
  has doc weight: 7
  maximum: 31
  mean: 31.0
  minimum: 31
  standard deviation: 0.0
  sum: 3100000
has doc weight: 2
checksum: Checksum
  algorithm: checksumAlgorithm sha1
  has doc weight: 2
has stream element count: 100000
compress format: application/gzip
has file name: stream_100K.tar.gz
media type: application/trig
has statistics: LanguageLiteralCountStatistics
  has doc weight: 5
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
  unique count: 0
has statistics: StatementCountStatistics
  has doc weight: 11
  maximum: 116
  mean: 116.0
  minimum: 116
  standard deviation: 0.0
  sum: 11600000
has statistics: PredicateCountStatistics
  has doc weight: 8
  maximum: 13
  mean: 13.0
  minimum: 13
  standard deviation: 0.0
  sum: 1300000
has statistics: LiteralCountStatistics
  has doc weight: 2
  maximum: 13
  mean: 12.05786
  minimum: 10
  standard deviation: 0.609107724790959
  sum: 1205786
  unique count: 102024
download URL: https://w3id.org/riverbench/datasets/assist-iot-weather-graphs/1.0.0/files/stream_100K.tar.gz
has statistics: QuotedTripleCountStatistics
  has doc weight: 6
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
package format: application/tar
has distribution type: graphStreamDistribution
checksum: Checksum
  algorithm: checksumAlgorithm md5
  has doc weight: 1

10K elements flat distribution
type: Distribution
has distribution type: partialDistribution
has statistics: LanguageLiteralCountStatistics
  has doc weight: 5
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
  unique count: 0
has statistics: BlankNodeCountStatistics
  has doc weight: 1
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
checksum: Checksum
  algorithm: checksumAlgorithm md5
  has doc weight: 1
has doc weight: 5
has statistics: SubjectCountStatistics
  has doc weight: 7
  maximum: 31
  mean: 31.0
  minimum: 31
  standard deviation: 0.0
  sum: 310000
has file name: flat_10K.nq.gz
has statistics: PredicateCountStatistics
  has doc weight: 8
  maximum: 13
  mean: 13.0
  minimum: 13
  standard deviation: 0.0
  sum: 130000
has statistics: StatementCountStatistics
  has doc weight: 11
  maximum: 116
  mean: 116.0
  minimum: 116
  standard deviation: 0.0
  sum: 1160000
has distribution type: flatDistribution
has statistics: LiteralCountStatistics
  has doc weight: 2
  maximum: 13
  mean: 12.0737
  minimum: 10
  standard deviation: 0.604705143024259
  sum: 120737
  unique count: 10801
has statistics: DatatypeLiteralCountStatistics
  has doc weight: 4
  maximum: 11
  mean: 10.0737
  minimum: 8
  standard deviation: 0.604705143024259
  sum: 100737
  unique count: 10799
download URL: https://w3id.org/riverbench/datasets/assist-iot-weather-graphs/1.0.0/files/flat_10K.nq.gz
has statistics: GraphCountStatistics
  has doc weight: 10
  maximum: 1
  mean: 1.0
  minimum: 1
  standard deviation: 0.0
  sum: 10000
has statistics: IriCountStatistics
  has doc weight: 0
  maximum: 67
  mean: 67.0
  minimum: 67
  standard deviation: 0.0
  sum: 670000
  unique count: 10066
has stream element count: 10000
byte size: 5312956
checksum: Checksum
  algorithm: checksumAlgorithm sha1
  has doc weight: 2
has statistics: SimpleLiteralCountStatistics
  has doc weight: 3
  maximum: 2
  mean: 2.0
  minimum: 2
  standard deviation: 0.0
  sum: 20000
  unique count: 2
media type: application/n-quads
compress format: application/gzip
has statistics: QuotedTripleCountStatistics
  has doc weight: 6
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has statistics: ObjectCountStatistics
  has doc weight: 9
  maximum: 57
  mean: 56.0737
  minimum: 54
  standard deviation: 0.604705143024118
  sum: 560737

10K elements graph stream distribution
type: Distribution
has statistics: GraphCountStatistics
  has doc weight: 10
  maximum: 1
  mean: 1.0
  minimum: 1
  standard deviation: 0.0
  sum: 10000
has statistics: LiteralCountStatistics
  has doc weight: 2
  maximum: 13
  mean: 12.0737
  minimum: 10
  standard deviation: 0.604705143024259
  sum: 120737
  unique count: 10801
byte size: 1372299
has statistics: StatementCountStatistics
  has doc weight: 11
  maximum: 116
  mean: 116.0
  minimum: 116
  standard deviation: 0.0
  sum: 1160000
has statistics: DatatypeLiteralCountStatistics
  has doc weight: 4
  maximum: 11
  mean: 10.0737
  minimum: 8
  standard deviation: 0.604705143024259
  sum: 100737
  unique count: 10799
has statistics: SimpleLiteralCountStatistics
  has doc weight: 3
  maximum: 2
  mean: 2.0
  minimum: 2
  standard deviation: 0.0
  sum: 20000
  unique count: 2
has statistics: ObjectCountStatistics
  has doc weight: 9
  maximum: 57
  mean: 56.0737
  minimum: 54
  standard deviation: 0.604705143024118
  sum: 560737
package format: application/tar
has statistics: IriCountStatistics
  has doc weight: 0
  maximum: 67
  mean: 67.0
  minimum: 67
  standard deviation: 0.0
  sum: 670000
  unique count: 10066
has statistics: QuotedTripleCountStatistics
  has doc weight: 6
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has distribution type: graphStreamDistribution
has statistics: BlankNodeCountStatistics
  has doc weight: 1
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has distribution type: partialDistribution
has statistics: PredicateCountStatistics
  has doc weight: 8
  maximum: 13
  mean: 13.0
  minimum: 13
  standard deviation: 0.0
  sum: 130000
media type: application/trig
has file name: stream_10K.tar.gz
checksum: Checksum
  algorithm: checksumAlgorithm sha1
  has doc weight: 2
has statistics: LanguageLiteralCountStatistics
  has doc weight: 5
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
  unique count: 0
has stream element count: 10000
has statistics: SubjectCountStatistics
  has doc weight: 7
  maximum: 31
  mean: 31.0
  minimum: 31
  standard deviation: 0.0
  sum: 310000
download URL: https://w3id.org/riverbench/datasets/assist-iot-weather-graphs/1.0.0/files/stream_10K.tar.gz
checksum: Checksum
  algorithm: checksumAlgorithm md5
  has doc weight: 1
has doc weight: 4
compress format: application/gzip

Full flat distribution
type: Distribution
checksum: Checksum
  algorithm: checksumAlgorithm sha1
  has doc weight: 2
has statistics: LanguageLiteralCountStatistics
  has doc weight: 5
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
  unique count: 0
compress format: application/gzip
download URL: https://w3id.org/riverbench/datasets/assist-iot-weather-graphs/1.0.0/files/flat_full.nq.gz
has file name: flat_full.nq.gz
has doc weight: 1
has statistics: IriCountStatistics
  has doc weight: 0
  maximum: 67
  mean: 67.0
  minimum: 67
  standard deviation: 0.0
  sum: 46985626
  unique count: 701333
has statistics: ObjectCountStatistics
  has doc weight: 9
  maximum: 57
  mean: 56.14361494300406
  minimum: 54
  standard deviation: 0.6936991601507121
  sum: 39372282
has statistics: PredicateCountStatistics
  has doc weight: 8
  maximum: 13
  mean: 13.0
  minimum: 13
  standard deviation: 0.0
  sum: 9116614
has statistics: SimpleLiteralCountStatistics
  has doc weight: 3
  maximum: 2
  mean: 2.0
  minimum: 2
  standard deviation: 0.0
  sum: 1402556
  unique count: 2
has distribution type: fullDistribution
has distribution type: flatDistribution
has statistics: GraphCountStatistics
  has doc weight: 10
  maximum: 1
  mean: 1.0
  minimum: 1
  standard deviation: 0.0
  sum: 701278
has statistics: SubjectCountStatistics
  has doc weight: 7
  maximum: 31
  mean: 31.0
  minimum: 31
  standard deviation: 0.0
  sum: 21739618
media type: application/n-quads
has statistics: BlankNodeCountStatistics
  has doc weight: 1
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
byte size: 371871858
has stream element count: 701278
checksum: Checksum
  algorithm: checksumAlgorithm md5
  has doc weight: 1
has statistics: DatatypeLiteralCountStatistics
  has doc weight: 4
  maximum: 11
  mean: 10.143614943004058
  minimum: 8
  standard deviation: 0.6936991601506506
  sum: 7113494
  unique count: 704200
has statistics: LiteralCountStatistics
  has doc weight: 2
  maximum: 13
  mean: 12.143614943004058
  minimum: 10
  standard deviation: 0.6936991601506506
  sum: 8516050
  unique count: 704202
has statistics: StatementCountStatistics
  has doc weight: 11
  maximum: 116
  mean: 116.0
  minimum: 116
  standard deviation: 0.0
  sum: 81348248
has statistics: QuotedTripleCountStatistics
  has doc weight: 6
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0

Full graph stream distribution
type: Distribution
has statistics: LanguageLiteralCountStatistics
  has doc weight: 5
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
  unique count: 0
has statistics: StatementCountStatistics
  has doc weight: 11
  maximum: 116
  mean: 116.0
  minimum: 116
  standard deviation: 0.0
  sum: 81348248
checksum: Checksum
  algorithm: checksumAlgorithm sha1
  has doc weight: 2
has distribution type: graphStreamDistribution
has statistics: DatatypeLiteralCountStatistics
  has doc weight: 4
  maximum: 11
  mean: 10.143614943004058
  minimum: 8
  standard deviation: 0.6936991601506506
  sum: 7113494
  unique count: 704200
has doc weight: 0
has file name: stream_full.tar.gz
checksum: Checksum
  algorithm: checksumAlgorithm md5
  has doc weight: 1
has statistics: BlankNodeCountStatistics
  has doc weight: 1
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has statistics: SubjectCountStatistics
  has doc weight: 7
  maximum: 31
  mean: 31.0
  minimum: 31
  standard deviation: 0.0
  sum: 21739618
has stream element count: 701278
media type: application/trig
has distribution type: fullDistribution
has statistics: QuotedTripleCountStatistics
  has doc weight: 6
  maximum: 0
  mean: 0.0
  minimum: 0
  standard deviation: 0.0
  sum: 0
has statistics: GraphCountStatistics
  has doc weight: 10
  maximum: 1
  mean: 1.0
  minimum: 1
  standard deviation: 0.0
  sum: 701278
has statistics: ObjectCountStatistics
  has doc weight: 9
  maximum: 57
  mean: 56.14361494300406
  minimum: 54
  standard deviation: 0.6936991601507121
  sum: 39372282
compress format: application/gzip
has statistics: SimpleLiteralCountStatistics
  has doc weight: 3
  maximum: 2
  mean: 2.0
  minimum: 2
  standard deviation: 0.0
  sum: 1402556
  unique count: 2
download URL: https://w3id.org/riverbench/datasets/assist-iot-weather-graphs/1.0.0/files/stream_full.tar.gz
package format: application/tar
has statistics: IriCountStatistics
  has doc weight: 0
  maximum: 67
  mean: 67.0
  minimum: 67
  standard deviation: 0.0
  sum: 46985626
  unique count: 701333
has statistics: LiteralCountStatistics
  has doc weight: 2
  maximum: 13
  mean: 12.143614943004058
  minimum: 10
  standard deviation: 0.6936991601506506
  sum: 8516050
  unique count: 704202
byte size: 95693152
has statistics: PredicateCountStatistics
  has doc weight: 8
  maximum: 13
  mean: 13.0
  minimum: 13
  standard deviation: 0.0
  sum: 9116614