data of the hydrodynamic model
type: Expression

bathymetric variable
type: Expression

hydrodynamic data
type: Expression

variable importance
type: Expression

Maxent software
type: Expression

presence data
type: Expression

hydrodynamic variable
type: Expression

Mount Wilson
type: Place

Shetlands
type: Place

bathymetric data
type: Expression

British Petroleum
type: Organization

Maximilian
type: Person

hydrography
type: Domain

Area
type: Concept

water
type: Concept

geography
type: Domain

Shetland Islands
type: Concept

value range
type: Expression

Water
type: Concept

Wilson
type: Concept

trawl
type: Concept

dredges
type: Concept

species
type: Concept

Study
type: Concept

software
type: Concept

resolution
type: Concept

variables
type: Concept

model
type: Concept

north east
type: Concept

Habitat
type: Concept

seabed
type: Concept

mounds
type: Concept

variables
type: Concept

distribution
type: Concept

habitat suitability model
type: Expression

Elsevier Science Ltd.
type: Organization

UV mean
type: Expression

corals
type: Concept

David
type: Person

variable influence
type: Expression

Deep Sea Habitat Suitabilty Model
type: ResearchObject
type: SnapshotRO
type: Dataset
is snapshot of: SeaMonitoring01
snapshoted at time: 2016-04-05T13:41:34.053+02:00
snapshoted by: ffoglini.livejournal.com
author: ffoglini.livejournal.com
content size: 46868119
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:16:51.848000+00:00
date modified: 2025-10-20 10:38:37.858001+00:00
date published: 2016-04-05 11:16:51.848000+00:00
description: In this RO we derive the MSFD indicator 1.5 (Habitat area) to assess the biological diversity descriptor. To do this in deep sea environment, the scientist (user) needs to implement a habitat suitability model.
encoding format: application/ld+json
license: no-permission
cite-as: http://ffoglini.livejournal.com/. "Deep Sea Habitat Suitabilty Model." ROHub. Apr 05 ,2016. https://w3id.org/ro-id/eb7b6b9e-070d-45cc-a3e7-b71c7fe4cb08.

service-account-generation-service
type: Agent

data
type: Folder
type: Dataset

documents
type: Folder
type: Dataset

software
type: Folder
type: Dataset

workflows
type: Folder
type: Dataset

oceanography
type: FieldOfResearch
norm score: 22.0931087561896
score: 0.728894829750061

In this RO we derive the MSFD indicator 1.5 (Habitat area) to assess the biological diversity descriptor.
type: Sentence
norm score: 44.617299315494705
score: 71.7

Princeton University
type: Organization
wikidata: Q21578

Bari
type: Concept
norm score: 3.627942879197221
score: 9.4

information
type: Concept
norm score: 9.648784253184099
score: 25.0

earth sciences
type: FieldOfResearch
norm score: 22.0931087561896
score: 0.728894829750061

raw data
type: Concept
norm score: 2.7788498649170204
score: 7.2

sea environment
type: Phrase
norm score: 6.5888240200166805
score: 15.8

16-Nov-17
type: TimeReference

variable
type: Lemma
norm score: 5.725376031052887
score: 11.8

descriptor
type: Concept
norm score: 5.403319181783095
score: 14.0

data
type: Lemma
norm score: 12.17855409995148
score: 25.1

bathymetry
type: Lemma
norm score: 3.3478893740902476
score: 6.9

hydrodynamic data
type: Phrase
norm score: 2.9190992493744785
score: 7.0

From Nov-1-2011 to Jun-28-2012
type: TimeReference

statistics
type: Domain
norm score: 17.980295566502463
score: 7.3

row data
type: Phrase
norm score: 5.67139282735613
score: 13.6

Geography
type: IPTC
path: Science and technology/Social sciences/Geography

Tmean
type: Lemma
norm score: 2.37748665696264
score: 4.9

Bari Bari Canyon
type: Phrase
norm score: 2.793994995829858
score: 6.7

trade
type: Domain
norm score: 1.7241379310344827
score: 0.7

research and support facilities (air)
type: NASA
norm score: 25.66363931506019
score: 0.5196491479873657

Bari Canyon system
type: Phrase
norm score: 2.2518765638031693
score: 5.4

Software
type: IPTC
path: Economy, business and finance/Economic sector/Computing and information technology/Software

mathematics
type: Domain
norm score: 10.591133004926109
score: 4.3

indicator
type: Concept
norm score: 4.747201852566576
score: 12.3

Language
type: IPTC
path: Arts, culture and entertainment/Culture/Language

MSFD
type: Lemma
norm score: 6.404657933042213
score: 13.2

Science and technology
type: IPTC
path: Science and technology

Raw data : is the bathymetry used for the work, and the adelie observations of the CWC i used.
type: Sentence
norm score: 8.400746733042936
score: 13.5

Textile and clothing
type: IPTC
path: Economy, business and finance/Economic sector/Process industry/Textile and clothing

descriptor
type: Lemma
norm score: 6.986899563318778
score: 14.4

MAxent
type: Lemma
norm score: 3.9786511402231923
score: 8.2

Annaëlle
type: Lemma
norm score: 4.2212518195050945
score: 8.7

Exports
type: IPTC
path: Economy, business and finance/Economy/Macro economics/Exports

name
type: Concept
norm score: 3.31918178309533
score: 8.6

Here are all the data of the BARI Canyon used.
type: Sentence
norm score: 7.467330429371499
score: 12.0

earth sciences
type: FieldOfResearch
norm score: 59.16887537665321
score: 1.9520968198776245

file
type: Concept
norm score: 2.161327672713238
score: 5.6

sea habitat Suitabilty model
type: Phrase
norm score: 5.045871559633027
score: 12.1

Habitat
type: Lemma
norm score: 2.8141678796700633
score: 5.8

ecology
type: Domain
norm score: 12.31527093596059
score: 5.0

distribution
type: Lemma
norm score: 2.4745269286754
score: 5.1

work
type: Concept
norm score: 2.35430335777692
score: 6.1

variable
type: Concept
norm score: 8.220764183712852
score: 21.3

AT&T
type: Organization
wikidata: Q35476

bargain Annaelle
type: Phrase
norm score: 6.630525437864887
score: 15.9

linguistics
type: Domain
norm score: 2.216748768472906
score: 0.9

earth sciences
type: FieldOfResearch
norm score: 18.73801586715719
score: 0.6182037591934204

To Feb-14
type: TimeReference

Biology
type: IPTC
path: Science and technology/Natural science/Biology

aeronautics
type: NASA
norm score: 25.66363931506019
score: 0.5196491479873657

frequency distribution
type: Concept
norm score: 3.3577769201080656
score: 8.7

environment
type: Lemma
norm score: 6.11353711790393
score: 12.6

scientist
type: Concept
norm score: 2.1227325357005014
score: 5.5

database
type: Domain
norm score: 7.8817733990147785
score: 3.2

Hydrodynamic data (Davide) implementation of ROMS for ocean currents, coupled with SWAN within the COAWST modelling system
type: Sentence
norm score: 2.7380211574362168
score: 4.4

computer science
type: Domain
norm score: 28.32512315270936
score: 11.5

bathymetric variable
type: Phrase
norm score: 2.1267723102585485
score: 5.1

ENFA
type: Lemma
norm score: 6.307617661329452
score: 13.0

CWC occurences
type: Phrase
norm score: 2.335279399499583
score: 5.6

2008
type: TimeReference

Bologna
type: Place
wikidata: Q1891

physics
type: Domain
norm score: 9.35960591133005
score: 3.8

Values
type: IPTC
path: Society/Values

pdf name
type: Phrase
norm score: 5.713094245204337
score: 13.7

UVmax
type: Lemma
norm score: 2.4745269286754
score: 5.1

8 months
type: TimeReference

diversity
type: Concept
norm score: 4.129679660362794
score: 10.7

bargain
type: Lemma
norm score: 2.7171276079573023
score: 5.6

raw data
type: Lemma
norm score: 2.8141678796700633
score: 5.8

The pdf name "methodoly2" is in french, and not finished yet, but explian step by step how to use the ENFA, MAxent and R, and where to find the programs.
type: Sentence
norm score: 7.965152457996266
score: 12.8

life sciences (general)
type: NASA
norm score: 74.3363606849398
score: 1.505196750164032

species occurrence data
type: Phrase
norm score: 2.6271893244370306
score: 6.3

diversity descriptor
type: Phrase
norm score: 12.677231025854878
score: 30.4

To do this in deep sea environment, the scientist (user) needs to implement a habitat suitability model.
type: Sentence
norm score: 13.378967019290602
score: 21.5

atmospheric sciences
type: FieldOfResearch
norm score: 18.73801586715719
score: 0.6182037591934204

Habitat area
type: Phrase
norm score: 3.9616346955796495
score: 9.5

Weather
type: IPTC
path: Weather

from Jan-25
type: TimeReference

ENFA model
type: Phrase
norm score: 7.756463719766472
score: 18.6

presence data
type: Phrase
norm score: 4.08673894912427
score: 9.8

environment
type: Concept
norm score: 4.785796989579312
score: 12.4

Bari
type: Place
wikidata: Q3519

geology
type: FieldOfResearch
norm score: 59.16887537665321
score: 1.9520968198776245

biology
type: Domain
norm score: 7.389162561576354
score: 3.0

Nov-25-2015
type: TimeReference

Bargain Annaelle –
type: Sentence
norm score: 4.107031736154324
score: 6.6000000000000005

Geography
type: IPTC
path: Science and technology/Social sciences/Geography

data of the BARI Canyon
type: Phrase
norm score: 4.5037531276063385
score: 10.8

bathymetry
type: Concept
norm score: 2.6244693168660747
score: 6.8

Habitat Suitability model for Bari Canyon with Hydrodynamic variables
type: Sentence
norm score: 2.5513378967019285
score: 4.1

software
type: Domain
norm score: 2.216748768472906
score: 0.9

diversity
type: Lemma
norm score: 5.240174672489083
score: 10.8

Relate species occurrence data (distribution = biological data) with environmental predictor variables (EGVs = Ecogeographic variables)
type: Sentence
norm score: 1.9912881144990664
score: 3.2

habitat suitability
type: Lemma
norm score: 3.056768558951965
score: 6.3

name
type: Lemma
norm score: 3.5904900533721493
score: 7.4

CWC distribution
type: Phrase
norm score: 1.9182652210175142
score: 4.6

life sciences
type: NASA
norm score: 74.3363606849398
score: 1.505196750164032

Wireless technology
type: IPTC
path: Economy, business and finance/Economic sector/Computing and information technology/Wireless technology

Toulon
type: Place
wikidata: Q44160

For ENFA, UVmax was not used (eigenvalues too high) marginality (niche position in the ecological space) specificity (niche size) = 1/tolerance
type: Sentence
norm score: 2.6135656502800244
score: 4.2

data of the hydrodynamic model
type: Phrase
norm score: 1.7514595496246872
score: 4.2

data
type: Concept
norm score: 11.925897336935545
score: 30.900000000000002

winter
type: TimeReference

Deep Sea Habitat Suitabilty Model.
type: Sentence
norm score: 4.16925948973242
score: 6.7

indicator
type: Lemma
norm score: 6.11353711790393
score: 12.6

of november to Jun-28
type: TimeReference

software
type: Concept
norm score: 2.199922809725974
score: 5.7

event
type: Concept
norm score: 3.7051331532226937
score: 9.6

Economic indicator
type: IPTC
path: Economy, business and finance/Economy/Macro economics/Economic indicator

buy
type: Concept
norm score: 3.7437282902354294
score: 9.7

habitat suitability model
type: Phrase
norm score: 6.8807339449541285
score: 16.5

specificity
type: Concept
norm score: 2.392898494789656
score: 6.2

Coral Occurences
type: Folder
type: Dataset

CWC_Bari_20m.csv
type: Dataset
type: Resource
type: MediaObject
author: ffoglini.livejournal.com
content size: 5683
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:31:07.091000+00:00
date modified: 2022-03-25 16:30:51.327456+00:00
encoding format: text/csv
license: no-permission
sd date published: 2016-04-05 11:31:07.091000+00:00

Env Variables
type: Folder
type: Dataset

Use of Maxent for predictive habitat mapping of.pptx
type: Document
type: Resource
type: MediaObject
author: ffoglini.livejournal.com
content size: 3799421
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:24:57.936000+00:00
date modified: 2022-03-25 16:30:53.503314+00:00
encoding format: application/vnd.openxmlformats-officedocument.presentationml.presentation
license: no-permission
sd date published: 2016-04-05 11:24:57.936000+00:00

The-cold-water-coral-Lophelia-pertusa-Scleractinia-and-enigmatic-seabed-mounds-along-the-north-east-Atlantic-margin-are-they-related-_2003_Marine-Poll.pdf
type: BibliographicResource
type: Resource
type: MediaObject
author: ffoglini.livejournal.com
content size: 836294
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:27:35.281000+00:00
date modified: 2022-03-25 16:30:55.327005+00:00
encoding format: application/pdf
license: no-permission
sd date published: 2016-04-05 11:27:35.281000+00:00

Habitat suitability models for BARI canyon_2.pptx
type: Document
type: Resource
type: MediaObject
author: ffoglini.livejournal.com
content size: 2479847
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:24:20.214000+00:00
date modified: 2022-03-25 16:30:52.493837+00:00
encoding format: application/vnd.openxmlformats-officedocument.presentationml.presentation
license: no-permission
sd date published: 2016-04-05 11:24:20.214000+00:00

How_to_use.docx
type: Document
type: Resource
type: MediaObject
author: ffoglini.livejournal.com
content size: 13787
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:26:11.633000+00:00
date modified: 2022-03-25 16:30:49.505037+00:00
encoding format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
license: no-permission
sd date published: 2016-04-05 11:26:11.633000+00:00

EnvVariable.7z
type: Dataset
type: Resource
type: MediaObject
author: ffoglini.livejournal.com
content size: 39410367
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:34:54.908000+00:00
date modified: 2022-03-25 16:30:54.486785+00:00
encoding format: application/x-7z-compressed
license: no-permission
sd date published: 2016-04-05 11:34:54.908000+00:00

Maxent
type: Folder
type: Dataset

maxent.zip
type: Resource
type: MediaObject
author: ffoglini.livejournal.com
content size: 638331
creator: ffoglini.livejournal.com
date created: 2016-04-05 11:37:23.476000+00:00
date modified: 2022-03-25 16:30:50.325625+00:00
encoding format: application/zip
license: no-permission
sd date published: 2016-04-05 11:37:23.476000+00:00

service-account-enrichment
type: Agent

Deep Sea Habitat Suitabilty Model
type: Nanopublication
has assertion: assertion
has provenance: provenance
has publication info: pubinfo
type: FAIRDigitalObject
type: RoCrateNanopub
created: 2026-05-11T16:33:51.286+02:00
creator: RoCrateBot

sig
has algorithm: RSA
signed by: RoCrateBot