cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2010.716
title: Simple sample preparation for analysis of mycotoxin residues in rice

description: A new non-immunoassay based extraction method for aflatoxin B1, B2, G1, and G2, fumonisin B1 and B2, ochratoxin A and B, citrinin, deoxynivalenol, nivalenol, HT-2 toxin, T-2 toxin and zearalenone was developed for mycotoxins screening in rice. The association of ultra performance liquid chromatography - tandem mass spectrometry (UPLC-MS/MS) was used to determine the all mycotoxins via electrospray ionization in ESI+ and ES- and multiple reaction monitoring (MRM) for the operating mode of analysis. Mycotoxins were isolated by acquity UPLC BEH C18 column (100 mm x 2.1 mm, 1.7 µm) with 0.5% formic acid in 5 mM ammonium formate/(acetonitrile in methanol = 1:1) by gradient elution within 11 minutes. Modified QuEChERS method employed 10% (v/v) formic acid in acetonitrile for solvent extraction. Cleanup was done by dispersive (d-SPE) combination of PSA, C18 and neutral alumina. The linear regression was evaluated by matrix-matched calibration from 0.01-0.1 mg/L and 0.05-2.5 mg/L, acceptable linearity with all R2 values better than 0.99 were obtained. Percentage of recovery ranged from 53 to 104 with within-day and between-day precisions at three concentration levels (low, middle, high) showed %RSD values lower than 7.1% and 11.8% (n=10), respectively. The limits of detection range were calculated by 3 times of signal to noise (3S/N). The proficiency testing was served with Z-score in the satisfactory range. This method is effective and rapid, and fit for purpose to replace expensive import immunoaffinity columns and possibly employed in routine analysis of mycotoxins residues in several grains.
DOI: 10.14457/cu.the.2010.717
title: Species diversity of Terrestrial Earthworms in Nan province

description: The terrestrial earthworms in Nan province were identified using external and internal morphological characters. A total of twenty species and one subspecies from 4 genera of terrestrial earthworms were recorded. There are eighteen species and 1 subspecies of Megascolecidae: Amynthas alexandri, A. borealis, A. exiguus exiguus, A. longicauliculatus, A. phatubensis, A. srinan, A. tontong, Amynthas sp. 1, Amynthas sp. 2, Amynthas sp. 3, Amynthas sp. 4, Metaphire anomala, M. birmanica, M. grandipenes, M. houlleti, M. peguana, M. posthuma, Metaphire sp. 1 and Metaphire sp. 2, a species of Glossoscolecidae (Pontoscolex corethrurus), and one species of Octochaetidae (Dichogaster bolaui). There are six species; A. borealis, A. phatubensis, A. srinan, A. tontong, M. birmanica, and M. grandipenes recorded in Thailand for the first time. The genetic variation of the Metaphire peguana, which is a common species in Thailand was examined. A total of 274 individuals were collected from 13 localities in Thailand. Using horizontal starch gel electrophoresis, 17 presumptive allozyme loci were screened across all the samples and 14 of these presumed loci, from 11 enzyme systems, were found to be polymorphic. The expected heterozygosity (Hexp) was moderate to high ranging from 0.059 - 0.147 with an overall mean of 0.092 ± 0.02 which relative lower than other earthworms. Genetic heterogeneity among samples showing relatively high (Fst = 0.318), may have been involved in an extensive local fragmentation under various selection forces. Genetic differentiation among the samples was low, with a low genetic distance (D = 0.002 - 0.171, mean = 0.048 ± 0.040 indicating the frequent gene flows among populations in Thailand. This is probably cocoons of M. peguana contaminated with soil or scions during propagation processes.
DOI: 10.7910/dvn/8a1xo3/0a0x9e
title: honeydew-angle-90-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/0eu8so
title: grape-angle-90-trial-3.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/71vunn
title: grape-angle-90-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/bzbvks
title: honeydew-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/cl9tkr
title: honeydew-angle-90-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/dfftxt
title: pepper-angle-90-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/dhotmd
title: cauliflower-angle-0-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/golwc2
title: kale-angle-0-trial-8.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/gube2g
title: celery-angle-90-trial-3.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/gxsirz
title: carrot-angle-90-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/hsdpmo
title: banana-angle-0-trial-0.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/iubrvp
title: cauliflower-angle-90-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/klnvpq
title: cantaloupe-angle-90-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/lffmg3
title: celery-angle-0-trial-2.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/mdgwlf
title: pepper-angle-0-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/mhyvx0
title: lettuce-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/mpeggl
title: lettuce-angle-0-trial-2.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/o8vg0m
title: tomato-angle-90-trial-0.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/ogk3op
title: honeydew-angle-90-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/oqdrke
title: banana-angle-0-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/ovicva
title: cantaloupe-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/qsz6oj
title: broccoli-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/sbgzcq
title: strawberry-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/sbxs27
title: spinach-angle-0-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/siwqiv
title: kiwi-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/sqfltu
title: cantaloupe-angle-90-trial-7.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/usg1jp
title: broccoli-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/vhjtii
title: celery-angle-0-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/vj1hyj
title: cantaloupe-angle-0-trial-8.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/voimrj
title: broccoli-angle-0-trial-0.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/w8qefy
title: honeydew-angle-90-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/wf5n25
title: lettuce-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/whw5bi
title: carrot-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/x3zycu
title: apple-angle-90-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/xxqjtj
title: cauliflower-angle-0-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/y6jtcl
title: honeydew-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/z1rfrz
title: carrot-angle-90-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/407nza
title: cantaloupe-angle-90-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/72lign
title: apple-angle-90-trial-2.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/c3ulrg
title: pepper-angle-0-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/c9azcg
title: apple-angle-90-trial-2.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/cb9shw
title: cauliflower-angle-90-trial-3.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/cdcjvy
title: cauliflower-angle-0-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/dyraqy
title: tomato-angle-90-trial-8.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/ggqd2g
title: carrot-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/grp1tq
title: kale-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/gxppel
title: grape-angle-0-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/hd9llf
title: cauliflower-angle-90-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/hffuvg
title: pepper-angle-0-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/ibcktj
title: pepper-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/ipyh2k
title: celery-angle-90-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/ix6fuq
title: lettuce-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/kmnifs
title: grape-angle-0-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/lbgraf
title: celery-angle-90-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/lgfz1r
title: honeydew-angle-0-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/medudq
title: celery-angle-90-trial-3.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/nbxrtv
title: celery-angle-90-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/nwjc50
title: strawberry-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/qyrwia
title: pineapple-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/rtbelg
title: apple-angle-90-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/sfnz1q
title: kale-angle-0-trial-9.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/spntpv
title: celery-angle-90-trial-3.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/suhx1j
title: red_grape-angle-0-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/t0ajd5
title: pepper-angle-0-trial-8.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/tsmeqz
title: honeydew-angle-0-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/vdrrok
title: carrot-angle-90-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/vlvs2a
title: carrot-angle-90-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/vqdwji
title: strawberry-angle-0-trial-3.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/wsxxkn
title: banana-angle-0-trial-5.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/wwznba
title: cauliflower-angle-90-trial-6.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/zhde3a
title: grape-angle-90-trial-4.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/zm7jog
title: red_grape-angle-0-trial-1.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/4qtpmc
title: grape-angle-90-trial-3.zip

description: :unav
DOI: 10.7910/dvn/8a1xo3/5ae4du
title: kale-angle-0-trial-5.zip

description: :unav
DOI: 10.25582/data.2021-01.2121136/2158865
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.zitobv
title: ExEP NASA Astrophysics Future MIssions for Schott Industry Day Panel

description: No abstract available.
DOI: 10.25582/data.2021-01.2137131/2158866
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.wwnfzl
title: Velocity-Resolved Fine Structure Line Observations : Results and Implications

description: No abstract available.
DOI: 10.25582/data.2021-01.2137496/2158867
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2119295/2158868
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.fsqhsf
title: Aerospace CT Case Studies Technique Discussion from NASA JPL

description: No abstract available.
DOI: 10.25582/data.2021-01.2119174/2158869
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.ngfi6j
title: CASE Contribution to Ariel Spectroscopy of Exoplanets

description: No abstract available.
DOI: 10.25582/data.2021-01.2122872/2158870
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2135674/2158871
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.uzkf1e
title: Disruptive Technologies

description: No abstract available.
DOI: 10.25582/data.2021-01.2139198/2158872
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.5dczqb
title: CASE Contribution to Ariel Spectroscopy of Exoplanets

description: No abstract available.
DOI: 10.6084/m9.figshare.7992092
title: Fusion of Sentinel-1 data with Sentinel-2 products to overcome non-favourable atmospheric conditions for the delineation of inundation maps

description: 729Sentinel-1 data are an alternative for monitoring flooded inland surfaces during cloudy periods. Supervised classification approaches with a single-trained model for the entire image demonstrate poor accuracy due to confusing backscatter conditions of the inundated areas in relation with the prevailing land cover features. This study follows instead a pixel-centric approach, which exploits the varying backscatter values of each pixel through a time series of Sentinel-1 images to train local Random Forest classification models per 3×3 pixels, and classifies each pixel in the target Sentinel-1 image, accordingly. Reference training data is retrieved from the timely close Sentinel-2-derived inundation maps. This study aims to identify the furthest mean day difference between the target Sentinel-1 image and available Sentinel-2 high accurate inundation maps (kappa coefficient—<b><i>k</i></b> &gt; 0.9) that allows for the estimation of credible inundation maps for the Sentinel-1 target date. Various combinations of Sentinel-2 and Sentinel-1 training datasets are examined. The evaluation for eight target dates confirms that a Sentinel-1 inundation map with a <b><i>k</i></b> of 0.75 on average can be generated, when mean day difference is less than 30 days. The increment of the considered Sentinel-2 maps allows for the estimation of Sentinel-1 inundation maps with higher accuracy.
DOI: 10.6084/m9.figshare.7992092.v1
title: Fusion of Sentinel-1 data with Sentinel-2 products to overcome non-favourable atmospheric conditions for the delineation of inundation maps

description: 729Sentinel-1 data are an alternative for monitoring flooded inland surfaces during cloudy periods. Supervised classification approaches with a single-trained model for the entire image demonstrate poor accuracy due to confusing backscatter conditions of the inundated areas in relation with the prevailing land cover features. This study follows instead a pixel-centric approach, which exploits the varying backscatter values of each pixel through a time series of Sentinel-1 images to train local Random Forest classification models per 3×3 pixels, and classifies each pixel in the target Sentinel-1 image, accordingly. Reference training data is retrieved from the timely close Sentinel-2-derived inundation maps. This study aims to identify the furthest mean day difference between the target Sentinel-1 image and available Sentinel-2 high accurate inundation maps (kappa coefficient—<b><i>k</i></b> &gt; 0.9) that allows for the estimation of credible inundation maps for the Sentinel-1 target date. Various combinations of Sentinel-2 and Sentinel-1 training datasets are examined. The evaluation for eight target dates confirms that a Sentinel-1 inundation map with a <b><i>k</i></b> of 0.75 on average can be generated, when mean day difference is less than 30 days. The increment of the considered Sentinel-2 maps allows for the estimation of Sentinel-1 inundation maps with higher accuracy.
DOI: 10.25582/data.2021-01.2118394/2158873
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.xuggf5
title: Joint inversion of magnetic induction and gravity science measurements using new laboratory data for analog ocean solutions

description: No abstract available.
DOI: 10.25582/data.2021-01.2121135/2158874
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.uzbbun
title: ALH from First Principles: Application to OCO-2

description: No abstract available.
DOI: 10.25582/data.2021-01.2138141/2158875
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2122875/2158876
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.qfbtn9
title: Convective System Tracking

description: No abstract available.
DOI: 10.25582/data.2021-01.2135594/2158877
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.tcrfeq
title: International Association of Geodesy: Welcome

description: No abstract available.
DOI: 10.25582/data.2021-01.2137821/2158878
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2132604/2158879
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.i9nvla
title: Progress and challenges in retrieving PAN from AIRS

description: No abstract available.
DOI: 10.25582/data.2021-01.2139160/2158880
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.epikua
title: Global Distribution of Serpentine on Mars

description: No abstract available.
DOI: 10.25582/data.2021-01.2136853/2158881
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.mubkyt
title: Endurance: the origin of a new planetary mission to the farside of the Moon

description: No abstract available.
DOI: 10.25582/data.2021-01.2137925/2158882
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2137834/2158883
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.lg93yp
title: CEOS WGISS-56: Integrated Digital Earth Analysis System (IDEAS) - An Open-Source Framework for Earth System Digital Twins

description: No abstract available.
DOI: 10.25582/data.2021-01.2138234/2158884
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2137885/2158885
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.ofrhkg
title: PROFILE: status update

description: No abstract available.
DOI: 10.25582/data.2021-01.2118298/2158886
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.2uwfh0
title: Imaging Spectroscopy and Machine Learning for Earth Science

description: No abstract available.
DOI: 10.25582/data.2021-01.2138300/2158887
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2118278/2158888
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.cwxtkh
title: Addressing Future Challenges for Planetary Science and Astrobiology

description: No abstract available.
DOI: 10.25582/data.2021-01.2121408/2158889
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2138358/2158890
title: Data for EMSL Project 51287 from January 2021
DOI: 10.6084/m9.figshare.24465274
title: Mooring simulation data

description: Data generated for catenary, heavy catenary, taut-leg, and lazy-s moorings used to characterize and compare mooring responses.
DOI: 10.25582/data.2021-01.2138311/2158891
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2137836/2158892
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2135784/2158893
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2139244/2158894
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2121397/2158895
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2134270/2158896
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2118410/2158897
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2138330/2158898
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2137751/2158899
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2139192/2158900
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2138313/2158901
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2137839/2158902
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2118392/2158903
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2130807/2158904
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2130829/2158905
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2122908/2158906
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2137813/2158907
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2136805/2158908
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2139222/2158909
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2139221/2158910
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2122849/2158911
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2130803/2158912
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.mflyra
title: Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor

description: The quest to find extraterrestrial life is a critical scientific endeavor with civilization- level implications. Icy moons in our solar system are promising targets for exploration because their liquid oceans make them potential habitats for microscopic life. How- ever, the lack of a precise definition of life poses a fundamental challenge to formu- lating detection strategies. To increase the chances of unambiguous detection, a suite of complementary instruments must sample multiple independent biosignatures (e.g., composition, motility/behavior, and visible structure). Such an instrument suite could generate 10,000× more raw data than is possible to transmit from distant ocean worlds like Enceladus or Europa. To address this bandwidth limitation, Onboard Science Instrument Autonomy (OSIA) is an emerging discipline of flight systems capable of evaluating, summarizing, and prioritizing observational instrument data to maximize science return. We describe two OSIA implementations developed as part of the Ocean World Life Surveyor (OWLS) prototype instrument suite at the Jet Propulsion Lab- oratory. The first identifies life-like motion in digital holographic microscopy videos, and the second identifies cellular structure and composition via innate and dye-induced fluorescence. Flight-like requirements and computational constraints were used to lower barriers to infusion, similar to those available on the Mars helicopter, “Ingenuity.” We evaluated the OSIA’s performance using simulated and laboratory data and conducted a live field test at the hypersaline Mono Lake planetary analog site. Our study demon- strates the potential of OSIA for enabling biosignature detection and provides insights and lessons learned for future mission concepts aimed at exploring the outer solar system.
DOI: 10.25582/data.2021-01.2135787/2158913
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2136828/2158914
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2118397/2158915
title: Data for EMSL Project 51287 from January 2021
DOI: 10.48577/jpl.iheobr
title: Welcome To Our Metaverse: Investigating Spatial Computing at the Jet Propulsion Laboratory

description: During the upheaval of the COVID-19 pandemic, the Jet Propulsion Laboratory (JPL), like most organizations, found itself trying to adjust to a new reality of remote and hybrid work. An emerging concept that seemed promising was the notion of a metaverse---a collection of technologies that could create, or recreate, our physical spaces and interactions. In response, JPL experimented with a rollout of its own metaverse, with mixed results. While some technologies filled a vital role in reconnecting the workforce, others were novelties at best and hindrances at worst. This article provides a candid review of the technical and policy elements that were explored as part of the Welcome To Our Metaverse experiment, the results that were observed, and the key takeaways and lessons learned for further exploration and technology adoption.
DOI: 10.25582/data.2021-01.2138015/2158916
title: Data for EMSL Project 51287 from January 2021
DOI: 10.25582/data.2021-01.2138041/2158917
title: Data for EMSL Project 51287 from January 2021