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NMBU, Ås, January 2015

GBIF-Norway at NMBU, January 2015

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Page 1: GBIF-Norway at NMBU, January 2015

NMBU,  Ås,  January  2015  

Page 2: GBIF-Norway at NMBU, January 2015

Status    27.  January  2015  

GBIF  enables  free  and  open  access  to  biodiversity  data  online.      We  are  an  interna>onal  government-­‐ini>ated  and  -­‐funded  ini>a>ve  focused  on  making  biodiversity  data  available  to  all  and  anyone,  for  scien>fic  research,  conserva>on  and  sustainable  development.   2  

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GBIF  provides  a  data  discovery  system  

global  registry   data  portal  

that  is  dependent  on  resolvable  stable  iden<fiers  for  efficient  func<onality  

3  

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1.   Informa*on  infrastructure  –  an  Internet-­‐based  index  of  a  globally  distributed  network  of  interoperable  databases  that  contain  primary  biodiversity  data.  

 2.   Community-­‐developed  tools,  standards  

and  protocols  –  the  tools  data  providers  need  to  format  and  share  their  data.  

 3.   Capacity-­‐building  and  training  –  and  

access  to  a  global  expert  community.  

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Map of GBIF Country Participants

31  DEC  2014  

parti

cipa

tion

NB!  The  low  membership  coverage  in  Asia  and  Africa  is  an  important  gap!  

GBIF  Secretariat  in  Copenhagen  with  20  staff  members  [link]  

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Node  team  at  UiO  NHM:  Dag  Endresen,  Node  Manager    Chris>an  Svindseth,  Database  manager  Fridtjof  Mehlum,  Research  Director  Einar  Timdal,  Associate  Professor    Geir  Søli,  Associate  Professor    

 Artsdatabanken  Trondheim:  

Wouter  Koch,  Advisor  Nils  Valland,  Senior  advisor  

 The  Research  Council  of  Norway:  

Per  Backe-­‐Hansen,  Head  of  delega>on  

6  

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 Artskart  provides  the  Norwegian  portal  for  species  occurrences.  

 a  subset  of  the  same  

data  as  in  GBIF  

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Why GBIF?

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OECD  Global  Science  Forum  (1999):  “establish  and  support  a  distributed  system  of  interlinked  and  interoperable  modules  (databases,  soCware  and  networking  tools,  search  engines,  analy<cal  algorithms,  etc.)  that  together  will  form  a  Global  Biodiversity  Informa<on  Facility  (GBIF)”.    [First  global  GBIF  mee<ng  in  2001;  Secretariat  in  Copenhagen  2003]  

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The  Millennium  Ecosystem  Assessment  showed  that  human  ac>ons  ogen  lead  to  irreversible  losses  in  the  diversity  of  life,  and  these  losses  have  been  more  rapid  in  the  past  50  years  than  ever  before  in  human  history.      Biological  diversity  is  key  to  resilience  –  the  ability  of  natural  and  social  systems  to  adapt  to  change,  and  is  essen>al  for  nearly  every  aspect  of  human  well-­‐being.    Because  human  threats  to  biodiversity  occur  across  large  spa>al  and  temporal  scales,  biodiversity  and  ecosystem  monitoring,  forecas>ng,  and  risk  assessments  require  data  to  be  organized  in  a  globally-­‐accessible,  integrated  infrastructure.        

   GBIF  provides  this  infrastructure.      

(Wilson,  2002;  Worm  et  al.,  2006;  Duke  et  al.,  2007)    

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GBIF and GEO Intergovernmental group on earth observations

Data Integration & Interoperability

GBIF provides the infrastructure delivering species occurrence data in GEO.

GEO  BON  Biodiversity  observa>on  network  

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GIASIP  Global  Invasive  Alien  Species  Informa>on  Partnership  

GBIF provides the infrastructure delivering species occurrence data in GIASIP.

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GBIF and IPBES (Naturpanelet) Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES)

IPBES  provides  a  plalorm  to  support  policy  decisions  based  on  biodiversity  research  results.      GBIF  provides  the  infrastructure  delivering  species  occurrence  data  in  IPBES.  

Science  

Policy  

Biodiversity  

Data,  informa>on  and  knowledge  

IPBES   GBIF  

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Data publication

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Data distribution in GBIF

Density of georeferenced species occurrence records published through GBIF (see http://www.gbif.org/occurrence) Last  updated:  2014-­‐07-­‐09  

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Data published through GBIF.org

hnp://www.gbif.org  |  16  JAN  2015  

Trend in primary biodiversity records (millions)

data

pub

lishi

ng

100

150

200

250

300

350

400

450

500

550

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Data published — by GBIF participant

NOTE:  Datasets  are  assigned  to  countries  according  to  the  loca<on  of  the  publishing  ins<tu<on,    including  aggregated  datasets  with  contributors  from  many  other  countries.  hnp://www.gbif.org  |  16  JAN  2015  

data

pub

lishi

ng

1. United States 67,332,382 6. Sweden 5,165,053

2. Netherlands 15,659,739 7. Norway 4,845,994

3. Germany 6,988,553 8. Finland 2,506,681

4. United Kingdom 5,564,923 9. Belgium 2,492,458

5. Australia 5,351,016 10. Canada 1,512,676

1. United States 209,492,282 6. Germany 18,733,051

2. Sweden 49,346,620 7. Finland 18,511,977

3. United Kingdom 47,237,309 8. France 17,503,770

4. Australia 36,653,791 9. Norway 17,338,833

5. Netherlands 21,268,595 10. Spain 10,194,958

Number of new records published—Top 10 participant Countries (1 Jan to 31 Dec 2014)

Total number of records published—Top 10 Participant Countries (as of 31 Dec 2014)

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GBIF  portal:    

18,0  million  occurrences  are  located  in  Norway.  Published  from  31  countries  worldwide.  

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GBIF  portal:    

17,2  million  occurrences  published  form  Norwegian  ins>tutes.  Covering  201  countries  worldwide.  

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Danmark   Finland  

Norway   Sweden  

Iceland  

Jan  2015   Datasets   Occurrences  

Denmark   53   9  384  792  Finland   57   18  514  033  Iceland   4   458  705  Norway   93   17  188  892  Sweden   35   50  083  140  

Status  for  Nordic  GBIF  nodes  (data  hosted  by…)  

hnp://www.gbif.o

rg/cou

ntry/N

O  

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Download data

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GBIF  Portal  –  download  data  •  Before  downloading  species  occurrence  data  from  GBIF,  please  take  the  >me  to  register.  –  hnp://www.gbif.org/user/register    

•  Downloads  from  the  GBIF  portal  are  packaged  as  a  Darwin  Core  Archive  (DwC-­‐A).  –  hnp://www.gbif.org/faq/datause    

•  The  species  occurrence  data  are  found  in  the  “occurrence.txt”  data  file.  

•  This  tab-­‐delimited  text  file  can  e.g.  be  imported  to  a  spreadsheet  such  as  Excel  or  to  a  database.  

•  NOTE:  the  data  files  can  become  very  large!  So  look  at  the  file  size  before  you  open  them  in  MS  Excel.  

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Data download requests, by country

Requests  for  download  do  not  necessarily  result  in  data  actually  being  downloaded.  Based  on  country  indicated  by  user  login  |  16  JAN  2015  

use

of g

bif.o

rg

1. United States 22,539 6. China 2,886

2. Mexico 11,354 7. United Kingdom 2,873

3. Spain 6,229 8. Costa Rica 2,869

4. Denmark 5,432 9. Colombia 2,685

5. Brazil 4,132 10. Australia 2,635

Total of

84,951 requests from users in

106 countries, islands and territories

1 Jan 2014 – 31 Dec 2014

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Data use in research

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Use citations, by country of authors

15  JAN  2015  

rese

arch

use

1. United States 114 6. Italy 22

2. Spain 41 7. Mexico 20

3. United Kingdom 40 8. Brazil 19

4. Germany 36 9. France 18

5. Australia 32 10. South Africa 17

Total 2014

Number of research publications from January to December 2014 citing use of GBIF-mediated data, ranked by country according to affiliation of author. Top 10 countries shown.

Relationship line represents collaboration between authors affiliated in different countries.

Dec 2014

1. United States 22 4. South Africa 5

2. United Kingdom 9 7. Switzerland 4

3. Spain 8 7. China 4

4. Germany 5 7. Mexico 4

4. Italy 5

Dec 2014

Number of research publications in December 2014 citing use of GBIF-mediated data, ranked by country according to affiliation of author. Top 9 countries shown.

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GBIF citation in research 2008-2014

Last  updated:  2014-­‐09-­‐02  

57  

43  

61  66  

90  

76   80  

17  

35  

48  

66   63  

33   29  

52  

89  

148  

169  

229  

249  

194  

0  

50  

100  

150  

200  

250  

300  

2008   2009   2010   2011   2012   2013   2014  (Jan-­‐Aug)  

No.  of  p

eer-­‐review

ed  pub

lica>

ons  

GBIF  men>oned  

GBIF  discussed  

GBIF-­‐mediated  data  used  

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Scien>sts  from  Norwegian  ins>tutes  

are  using    GBIF-­‐mediated  data:  

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Darwin Core

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Unifying  species  data  

Integrated  access  for  records  of  the  occurrence  of  any  species:    •  What?  •  When?  •  Where?  •  What  evidence?  •  Data  owner?  •  Link  to  full  record  

Presence  only  data  

Collec*ons  

Ecological  Monitoring   Genomics  

Darwin  Core  

2015:  Survey  data  compa>ble  with  exis>ng  Darwin  Core  data,  plus:  

•  Which  species  were  recorded  together?    

•  Which  sets  of  data  are  directly  comparable?  

•  Which  species  were  most  abundant  in  each  sample?  

Presence/absence  

Darwin  Core  +  Core  Survey  

Fields    

Sample  Id  Method  Id  

Rela>ve  abundance  ...  

Slide  by  Donald  Hobern,  2012  

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Darwin Core – a vocabulary of terms

Wieczorek  J,  Bloom  D,  Guralnick  R,  Blum  S,  Döring  M,  De  Giovanni  R,  Robertson  T,  and  Vieglais  D  (2012)  Darwin  Core:  An  Evolving  Community-­‐Developed  Biodiversity  Data  Standard.  PLoS  ONE  7(1):  e29715.  (doi:10.1371/journal.pone.0029715)  

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hnp://rs.tdwg.org/dwc/terms/      

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Darwin Core Archive (DwC-A)

v  DwC-A publish DwC records including terms from DwC-A extensions.

v  Simple text based format. v  Zipped single file archive.

Germplasm.txt  

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Survey & plot data GBIF priority in 2015

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Wiser  SK,  Spencer  N,  De  Caceres  M,  Kleikamp  M,  Boyle  B  &  Peet  RK  (2011).  Veg-­‐X  –  an  exchange  standard  for  plot-­‐based  vegeta>on  data.  Journal  of  Vegeta>on  Science  22  (2011)  598–609.  DOI:10.1111/j.1654-­‐1103.2010.01245.x  

“A  primary  technical  impediment  to  large-­‐scale  sharing  of  vegeta<on  data  is  the  lack  of  a  recognized  interna<onal  exchange  standard  for  linking  the  panoply  of  tools  and  database  implementa<ons  that  exist”  (…)  The  specimen-­‐based  standards  cited  above  [Darwin  Core  and  ABCD],  however,  are  not  adequate  for  community  sampling  because  the  informa<on  required  goes  beyond  specimen  and  occurrence  data”  (Wiser  et  al.  2011).  

hnp://terms.tdwg.org/wiki/Vegeta>on_Survey    

Survey  &  plot  data  (priority  in  2015)  

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Vegeta>on  plot  data  

Image  credit:  Onar  Michelsen,  Norwegian  University  of  Science  and  Technology  

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Identifiers

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Record-­‐level  Terms  dcterms:type  |  dcterms:modified  |  dcterms:language  |  dcterms:rights  |  dcterms:rightsHolder  |  dcterms:accessRights  |  dcterms:bibliographicCita>on  |  dcterms:references  |  ins*tu*onID  |  collec*onID  |  datasetID  |  ins*tu*onCode  |  collec*onCode  |  datasetName  |  ownerIns>tu>onCode  |  basisOfRecord  |  informa>onWithheld  |  dataGeneraliza>ons  |  dynamicProper>es    Occurrence  occurrenceID  |  catalogNumber  |  occurrenceRemarks  |  recordNumber  |  recordedBy  |  individualID  |  individualCount  |  sex  |  lifeStage  |  reproduc>veCondi>on  |  behavior  |  establishmentMeans  |  occurrenceStatus  |  prepara>ons  |  disposi>on  |  otherCatalogNumbers  |  previousIden>fica>ons  |  associatedMedia  |  associatedReferences  |  associatedOccurrences  |  associatedSequences  |  associatedTaxa    MaterialSample  materialSampleID    Event  eventID  |  samplingProtocol  |  samplingEffort  |  eventDate  |  eventTime  |  startDayOfYear  |  endDayOfYear  |  year  |  month  |  day  |  verba>mEventDate  |  habitat  |  fieldNumber  |  fieldNotes  |  eventRemarks    dcterms:Loca*on  loca*onID  |  higherGeographyID  |  higherGeography  |  con>nent  |  waterBody  |  islandGroup  |  island  |  country  |  countryCode  |  stateProvince  |  county  |  municipality  |  locality  |  verba>mLocality  |  verba>mEleva>on  |  minimumEleva>onInMeters  |  maximumEleva>onInMeters  |  verba>mDepth  |  minimumDepthInMeters  |  maximumDepthInMeters  |  minimumDistanceAboveSurfaceInMeters  |  maximumDistanceAboveSurfaceInMeters  |  loca>onAccordingTo  |  loca>onRemarks  |  verba>mCoordinates  |  verba>mLa>tude  |  verba>mLongitude  |  verba>mCoordinateSystem  |  verba>mSRS  |  decimalLa>tude  |  decimalLongitude  |  geode>cDatum  |  coordinateUncertaintyInMeters  |  coordinatePrecision  |  pointRadiusSpa>alFit  |  footprintWKT  |  footprintSRS  |  footprintSpa>alFit  |  georeferencedBy  |  georeferencedDate  |  georeferenceProtocol  |  georeferenceSources  |  georeferenceVerifica>onStatus  |  georeferenceRemarks    GeologicalContext  geologicalContextID  |  earliestEonOrLowestEonothem  |  latestEonOrHighestEonothem  |  earliestEraOrLowestErathem  |  latestEraOrHighestErathem  |  earliestPeriodOrLowestSystem  |  latestPeriodOrHighestSystem  |  earliestEpochOrLowestSeries  |  latestEpochOrHighestSeries  |  earliestAgeOrLowestStage  |  latestAgeOrHighestStage  |  lowestBiostra>graphicZone  |  highestBiostra>graphicZone  |  lithostra>graphicTerms  |  group  |  forma>on  |  member  |  bed    Iden*fica*on  iden*fica*onID  |  iden>fiedBy  |  dateIden>fied  |  iden>fica>onReferences  |  iden>fica>onVerifica>onStatus  |  iden>fica>onRemarks  |  iden>fica>onQualifier  |  typeStatus    Taxon  taxonID  |  scien*ficNameID  |  acceptedNameUsageID  |  parentNameUsageID  |  originalNameUsageID  |  nameAccordingToID  |  namePublishedInID  |  taxonConceptID  |  scien>ficName  |  acceptedNameUsage  |  parentNameUsage  |  originalNameUsage  |  nameAccordingTo  |  namePublishedIn  |  namePublishedInYear  |  higherClassifica>on  |  kingdom  |  phylum  |  class  |  order  |  family  |  genus  |  subgenus  |  specificEpithet  |  infraspecificEpithet  |  taxonRank  |  verba>mTaxonRank  |  scien>ficNameAuthorship  |  vernacularName  |  nomenclaturalCode  |  taxonomicStatus  |  nomenclaturalStatus  |  taxonRemarks    ResourceRela*onship  (Auxiliary  Terms)  resourceRela*onshipID  |  resourceID  |  relatedResourceID  |  rela>onshipOfResource  |  rela>onshipAccordingTo  |  rela>onshipEstablishedDate  |  rela>onshipRemarks    MeasurementOrFact  (Auxiliary  Terms)  measurementID  |  measurementType  |  measurementValue  |  measurementAccuracy  |  measurementUnit  |  measurementDeterminedDate  |  measurementDeterminedBy  |  measurementMethod  |  measurementRemarks  

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The  purpose  of  iden*fiers                …is  to  name  things,                making  it  possible  to  refer  to  them.  

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hnp  –  PURL  –  UUID    hnp://purl.org/nhmuio/id/41d9cbb4-­‐4590-­‐4265-­‐8079-­‐ca44d46d27c3  

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Including  machine  readable  formats  

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Citizen science Transcription

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hnp://gbif.no

/dugnad/  

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Custom data portals

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Data paper

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•  Peer  review  op>on  for  biodiversity  datasets.  •  Authors  get  scien>fic  credit  for  data  publica>on.  •  Mee>ng  concerns  over  data  quality.  •  Mee>ng  concerns  over  data  cita*on  

mechanism.  

hnp://www.gbif.org/publishingdata/datapapers    

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Metadata  requirements  •  Dataset  descrip>on  •  Project  descrip>on  •  People  and  Organiza>ons  (including  roles)  •  Coverage  

–  Taxonomic  coverage  – Geographic  coverage  –  Temporal  coverage  

•  Methods  •  Intellectual  property  rights,  licensing  •  Keywords  

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Data  paper  workshop  

•  The  first  Norwegian  data  paper  wri>ng  workshop,  in  Oslo  2nd  to  3rd  December  2014  with  11  par>cipants  hnp://goo.gl/GtW1Vx  

•  A  second  data  paper  workshop  will  be  organized  in  Trondheim,  24th  to  25th  March  2015  with  20-­‐25  par>cipants  hnp://goo.gl/Ef1ZAy  

Dimitri  Brosens,  GBIF  Belgium  

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Publish your own data!

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Many  species  occurrence  data  are  “hidden”  in  reports  and  documents  produced  by  universi*es,  research  ins*tutes,  public  agencies  and  the  university  museums.    Publish  your  biodiversity  data!  

Photo  by:  Niklas  Bildhauer  

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Publish  and  archive  your  own  species  occurrence  data  

•  You  can  always  publish  your  species  occurrence  data  by  sending  an  email  to  gbif-­‐[email protected]    

•  The  GBIF  Norway  helpdesk  will  assist  with  data  publishing  (to  GBIF  and  Artskart)!  

•  You  can  install  a  data  publishing  sogware  such  as  the  GBIF  Integrated  Publishing  Toolkit  (IPT).  

•  Ci*zen  Science  portals  such  as  Artsobservasjoner,  iNaturalist,  Anymals  +  Plants,  …  

•  You  can  also  use  a  data  archiving  pla_orm  such  as  B2SHARE  (EUDAT)  or  NorStore  (Norwegian  research  data,  EUDAT).  

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hnp://artsob

servasjone

r.no/  

CC-­‐BY  Dag  Endresen  

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Published  to  GBIF  

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Archive your own data!

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Work  in  progress…!  

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Grants for biodiversity data preparation

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Small  grant  to  support  data  prepara=on  

•  GBIF  Norway  has  some  funds  for  suppor>ng  new  data  providers  with  prepara>on  of  exis>ng  biodiversity  datasets.  

•  To  assist  data  owners  to  start  publishing  data.  

•  The  applica>on  form  and  condi>ons  can  be  requested  by  email  from  gbif-­‐[email protected]    

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Thanks  for  listening!                          

Dag  Endresen  [email protected]  

 Chris>an  Svindseth  

chris>[email protected]    

gbif-­‐[email protected]