Deep Time Knowledge Base

Deep Time Knowledge Base

[Goldschmidt2027 @goldschmidt2027]

The call for sessions and workshops for #goldschmidt2023 is now open! The deadline is 14 October.
Time to shape another exciting science program!
https://t.co/S4FS6iaDVV @EAG_ @EAG_DEI @geochemsoc @goldschmidt2023 #geochemistry

[Brad @s__morrison]

@lrprofeta @geochemsoc @Rutgers_Enigma @MarshallXMa @Geoinformatics1 @dtkb11

[Brad @s__morrison]

@CarnegiePlanets Bob Hazen on #mineral #informatics, classification, and #mineralevolutiom at the @UA_ANGMM grand opening! Check out the Mineral Evolution hall! @carnegiescience @deepcarb @uarizona

[Earth Science Information Partners (ESIP) @ESIPfed]

#DataHelpDesk Spotlight: Deep Time Knowledge Base 🌏 Supports research in Earth's deep time history & helps researchers use deep-time as a framework to synthesize datasets.
https://t.co/CQCSRVz7Mn https://t.co/HsRRZlaUgN

@MarshallXMa @dtkb11 #AGU21 @EarthCube @theAGU

[Brad @s__morrison]

@CarnegiePlanets @carnegiescience @deepcarb @dtkb11 @MarshallXMa @LesleyWyborn @snet_jklump @AeroSciengineer @Anirudh_14 @rpi #informatics #datascience #geoinformatics #xinformatics

[Earth Science Information Partners (ESIP) @ESIPfed]

Have questions about #EarthScienceData? Make sure to catch ⁦@EarthDataHelp⁩ at ⁦@theAGU⁩ Fall Meeting. Send in questions #DataHelpDesk during #AGU21.

[Brad @s__morrison]

#JobAlert: Project Scientist @AstromatData @LamontEarth
Astromaterials Data System product & project management; planning & developing cyberinfrastructure for astromaterials samples & lab data; community engagement & outreach
https://t.co/X64SaDJ8gI
@NASA @NASAdata @NASA_Johnson

[Deep Time Knowledge Base @dtkb11]

#GSA2021 A big shout out to @sjGoring @an_dre_a_ and their colleagues for the impressive work of @ThroughputDB to link a variety of object types in data-driven studies. https://t.co/GbW59vVoxF

[Deep Time Knowledge Base @dtkb11]

Still at #GSA2021? Come to B113/114 for the #geoinformatics and #datascience session. A lot of excellent talks on #machinelearning #datascience tools and #data driven studies in #water and #carbon cycles. @gsageoinfo @ESIPfed @ESSI_AGU

[Earth Science Information Partners (ESIP) @ESIPfed]

#DataHelpDesk Spotlight: Deep Time Knowledge Base, which helps researchers use deep-time as a framework to synthesize datasets. https://t.co/CQCSRVhwUP

https://t.co/HsRRZkTjpf

@MarshallXMa @dtkb11 @EarthCube @gsageoinfo @geosociety #GSA2021

[Deep Time Knowledge Base @dtkb11]

https://t.co/sZ4nLKXdO5 check our latest #openaccess publication on #versioncontrol in #deeptime #KnowledgeGraph #ontology #semanticweb #datascience @4D_Initiative @uidahoENGR @IAMG_Math_Geo

[Peter Fox @taswegian]

Very nice @CarnegiePlanets / EPL article: https://t.co/nkbyHsgKGJ @4D_Initiative @s__morrison #twcrpi

[Brad @s__morrison]

#goldschmidt2020 #workshop: #EarthScience meets #DataScience - Services & Systems, Policies & Procedures, Tools & Techniques for #Geochemistry
10AM–3PM ET June 22. Free!
Register here: https://t.co/lm6sPAgqX8
@MarshallXMa @ChaoMa18 @ShuangZhang20 @geochemsoc @klehnert1 @EarthChem

[Deep Time Knowledge Base @dtkb11]

Our presentation on #versioncontrol in #deeptime #knowledgegraph is now open on @esip YouTube channel https://t.co/RYPoD4WcO2 #semanticweb #opendata

[Deep Time Knowledge Base @dtkb11]

We will present at @ESIPfed SemTech telecon today at 4PM ET https://t.co/wuexmvwqWG A new structure for representing and tracking version information in a deep time knowledge graph

[AGU's Eos @AGU_Eos]

Who is connected with whom? How are connections associated with successful publication and citation? @theAGU analyzed how people interact as co-authors, looking for patterns by gender, age, and ethnicity.

https://t.co/DePVlAnrJ6

[Ted Habermann @TedHabermann]

Does your community have unique metadata needs? Using existing standard as foundation and adding extensions might help. Some approaches at https://t.co/cc0ifiwA8O #metadata #communityconventions #esipfed #metadata2020

[Deep Time Knowledge Base @dtkb11]

Impressive work of using big data in deep time research.

[Shuzhong Shen @SShuzhong]

Hard work finally pays off. The paper is published by Science https://t.co/JGdgFNC5yN

[Han Wang @nahgnaw]

Drop me a message if you’re looking for an exciting internship opportunity in Alexa. NLU, Knowledge Graphs, Conversational Agents. Name it, and we build it.

[Brad @s__morrison]

Congratulations to @CarnegieGeoPhys's Dr. Bob Hazen and the Deep Carbon Observatory (@deepcarb) - @sciencemagazine named his book, Symphony in C, one of the top books of 2019! #topbook #topsciencebook #science #hotscience #deepcarbon @carnegiescience

https://t.co/HZNJMy1v94