cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17520026
title: Functional traits Greek endemic plant taxa- Cheminal et al.

description: Dataset related to the article "The First Functional Traits Dataset for the Endemic Flora of Greece: morphology, ecology and ecosystem services" by Cheminal et al.

Description of the endemic plant taxa of Greece by distribution in floristic areas, 8 morphological and phenological functional traits, 2 ecological parameters, 1 genetic characteristic, and 6 types of ecosystem services potentially provided by the taxa.
DOI: 10.57745/lhxb9c
title: LgasseriDAPI3.lsm

description: :unav
DOI: 10.57745/phic6i
title: LgasseriDAPI5.lsm

description: :unav
DOI: 10.57745/urcwj4
title: LgasseriDAPI3.czi

description: :unav
DOI: 10.57745/gkt50g
title: CandidavsLgasseriDAPI4.tif

description: :unav
DOI: 10.57745/buw00d
title: CandidavsLgasseriConADAPI4zoom2.tif

description: :unav
DOI: 10.57745/fqekll
title: CandidaConA4.lsm

description: :unav
DOI: 10.57745/etcav4
title: Candidavsbacterie8ConADAPI.czi

description: :unav
DOI: 10.57745/yuguvu
title: CandidavsLgasseriConADAPI2.czi

description: :unav
DOI: 10.57745/5o09os
title: LgasseriDAPI4.lsm

description: :unav
DOI: 10.15468/dl.pedeuk
title: Occurrence Download

description: A dataset containing 6791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudata, Anura)",
 "Geometry POLYGON ((4.092986 50.22946, 4.104119 50.13988, 4.115201 50.0503, 4.126231 49.96072, 4.137209 49.87113, 4.275951 49.87822, 4.41473 49.88514, 4.553546 49.89189, 4.692397 49.89848, 4.831282 49.90489, 4.840927 49.81522, 4.850527 49.72556, 4.988933 49.73177, 4.998234 49.64209, 5.136416 49.64812, 5.27463 49.65399, 5.28338 49.56427, 5.42137 49.56996, 5.429826 49.48023, 5.567592 49.48573, 5.705386 49.49106, 5.843206 49.49623, 5.981054 49.50123, 5.973612 49.591, 5.966135 49.68077, 5.958624 49.77054, 5.820011 49.76551, 5.812207 49.85526, 5.804367 49.94501, 5.943495 49.95006, 5.935878 50.03982, 6.075293 50.04471, 6.214733 50.04943, 6.207603 50.13921, 6.200438 50.22898, 6.340428 50.23355, 6.480442 50.23795, 6.473772 50.32774, 6.467071 50.41752, 6.460337 50.5073, 6.319527 50.50288, 6.312493 50.59264, 6.305426 50.68241, 6.164104 50.67779, 6.156733 50.76755, 6.015166 50.76274, 6.007488 50.85248, 5.865677 50.84749, 5.723895 50.84233, 5.582142 50.83699, 5.440419 50.83148, 5.449181 50.74179, 5.4579 50.65209, 5.316748 50.64643, 5.175628 50.6406, 5.034541 50.63459, 5.044022 50.54493, 4.903235 50.53876, 4.762483 50.53243, 4.621766 50.52592, 4.481085 50.51924, 4.340441 50.51238, 4.351204 50.42279, 4.210863 50.41578, 4.07056 50.40859, 4.081799 50.31903, 4.092986 50.22946))",
 "OccurrenceStatus is Present",
 "SpeciesKey is not null",
 "Year is greater than or equal to 2007",
 "Year is less than or equal to 2018",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)"
 ]
}

 The dataset includes 6791 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014594-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/hty3jb
title: Candidavsbacterie5ConADAPI.lsm

description: :unav
DOI: 10.57745/s634qr
title: CandidaConA3.czi

description: :unav
DOI: 10.57745/il0qnf
title: CandidaConA1.lsm

description: :unav
DOI: 10.57745/zqo3dn
title: CandidaConA4.czi

description: :unav
DOI: 10.57745/uetnwe
title: Candidavsbacterie8ConADAPI.lsm

description: :unav
DOI: 10.57745/4li9qo
title: CandidavsLgasseriConA4.tif

description: :unav
DOI: 10.57745/r5o91u
title: Candidavsbacterie6ConADAPI.czi

description: :unav
DOI: 10.57745/ttuulr
title: Candidavsbacterie7ConADAPI.czi

description: :unav
DOI: 10.57745/gdjeb9
title: PROTEINGEL01182023112130plandugel.tif

description: :unav
DOI: 10.57745/dqawdn
title: CandidaConA3zoom.tif

description: :unav
DOI: 10.57745/oyxfmf
title: LgasseriDAPI2.tif

description: :unav
DOI: 10.57745/jrge4c
title: CandidavsLgasseriConADAPI4zoom1.tif

description: :unav
DOI: 10.57745/qi6va0
title: Candidavsbacterie5ConADAPI.czi

description: :unav
DOI: 10.57745/91peia
title: CandidavsLgasseriConADAPI4.tif

description: :unav
DOI: 10.57745/7n1whv
title: CandidaConA3.lsm

description: :unav
DOI: 10.57745/xk8vrc
title: LgasseriDAPI5.czi

description: :unav
DOI: 10.57745/5gjkf8
title: CandidaConA1.czi

description: :unav
DOI: 10.57745/c3plyj
title: Candidavsbacterie7ConADAPI.lsm

description: :unav
DOI: 10.57745/gnfkp0
title: LgasseriDAPI2zoom.tif

description: :unav
DOI: 10.57745/k45cxs
title: PROTEINGEL01182023112130.tif

description: :unav
DOI: 10.57745/pftsow
title: CandidaConA3.tif

description: :unav
DOI: 10.57745/ve9hxb
title: CandidavsLgasseriConADAPI4.czi

description: :unav
DOI: 10.57745/6lgmlu
title: CandidavsLgasseriConADAPI1.lsm

description: :unav
DOI: 10.57745/qoyir9
title: LgasseriDAPI2.czi

description: :unav
DOI: 10.57745/ysacif
title: CandidaConA2.lsm

description: :unav
DOI: 10.57745/xrok1w
title: CandidavsLgasseriConADAPI1.czi

description: :unav
DOI: 10.57745/h9xzat
title: LgasseriDAPI2.lsm

description: :unav
DOI: 10.57745/s9s9u6
title: LgasseriDAPI1.czi

description: :unav
DOI: 10.57745/bepcfi
title: CandidavsLgasseriConADAPI3.czi

description: :unav
DOI: 10.57745/cvvaty
title: Candidavsbacterie6ConADAPI.lsm

description: :unav
DOI: 10.57745/r1rrjn
title: CandidavsLgasseriConADAPI2.lsm

description: :unav
DOI: 10.57745/cb2uxo
title: LgasseriDAPI1.lsm

description: :unav
DOI: 10.57745/ofosoi
title: CandidaConA2.czi

description: :unav
DOI: 10.57745/rgeloe
title: LgasseriDAPI4.czi

description: :unav
DOI: 10.57745/tj7ct3
title: CandidaConA5.czi

description: :unav
DOI: 10.57745/x6ifiz
title: CandidavsLgasseriConADAPI3.lsm

description: :unav
DOI: 10.57745/1vuubl
title: CandidaConA5.lsm

description: :unav
DOI: 10.57745/fealck
title: README.txt

description: :unav
DOI: 10.57745/kbxvny
title: PROTEINGEL01182023112130ProteinGelraw.tif

description: :unav
DOI: 10.57745/omddoi
title: PlandeplaqueBiofilmCalbicansvsLgEPS.tab

description: :unav
DOI: 10.57745/nl2zmx
title: BiofilmCalbicansvsLgEPSexp2DO595nm.tab

description: :unav
DOI: 10.57745/qvw1yn
title: BiofilmCalbicansvsLgEPSexp1DO595nm.tab

description: :unav
DOI: 10.57745/1uf4q9
title: PlandeplaqueBiofilmCalbicansvsLgasseri.tab

description: :unav
DOI: 10.57745/9xrysd
title: CalculBiofilmCalbicansvsLgasseri.xlsx

description: :unav
DOI: 10.57745/rjezx2
title: BiofilmCalbicansvsLgasseriexp3DO595nm.tab

description: :unav
DOI: 10.57745/ldek69
title: BiofilmCalbicansvsLgasseriexp1DO595nm.tab

description: :unav
DOI: 10.57745/gsuw10
title: BiofilmCalbicansvsLgasseriexp2DO595nm.tab

description: :unav
DOI: 10.57745/heiovj
title: CalculBiofilmCalbicansvsLgEPS.tab

description: :unav
DOI: 10.57745/lkzaq7
title: BiofilmCalbicansvsLgEPSexp3DO595nm.tab

description: :unav
DOI: 10.57745/bfh56l
title: CalculPCRCaco2Lgasseri.tab

description: :unav
DOI: 10.57745/1orzuv
title: Caco2DSSEPStest6het24hCCL2Myd88-MacrophagesEPS3GAPDHTLR4COX2le060423.eds

description: :unav
DOI: 10.57745/szhvjd
title: mtt24h570650nmLgEPSRhizoEPSexp3.tab

description: :unav
DOI: 10.57745/zgpbug
title: plandeplaquePCRCaco2Lgasseri.tab

description: :unav
DOI: 10.57745/m9j62t
title: Caco2DSSEPSIL6CCL2Myd88NfkBle140423_data.xls

description: :unav
DOI: 10.57745/xjlrwn
title: Caco2DSSLgasseri2GAPDHTNFaIL6le29062023_data.xls

description: :unav
DOI: 10.57745/x3louo
title: CalculCaco2DSSLgEPS.tab

description: :unav
DOI: 10.57745/fslncm
title: plandeplaque3PCRCaco2.tab

description: :unav
DOI: 10.57745/guwnzr
title: mtt24h570650nmLgEPSRhizoEPSexp2.tab

description: :unav
DOI: 10.57745/vkefh9
title: Caco2DSSEPSEPSKLCCL2IL6Myd88le21042023_data.xls

description: :unav
DOI: 10.57745/xebilj
title: Caco2DSSLgasseri2IL8CCL2le29062023.eds

description: :unav
DOI: 10.57745/znemi8
title: PAG23004EPS300123.pdf

description: :unav
DOI: 10.57745/gwqtnz
title: RawDATAIL10at450nm.tab

description: :unav
DOI: 10.57745/6oh5ni
title: CalculGrowthofC.albicansvsLgEPS.tab

description: :unav
DOI: 10.57745/u731dt
title: Caco2DSSEPSEPSKLGAPDHIL8TNFale21042023_data.xls

description: :unav
DOI: 10.57745/x0ia1x
title: mtt48h570650nmLgEPSRhizoEPSexp3.tab

description: :unav
DOI: 10.57745/qocaoi
title: Caco2DSSLgasseri2GAPDHTNFaIL6le29062023.eds

description: :unav
DOI: 10.57745/qxl0zh
title: PAG23004EPS090323.pdf

description: :unav
DOI: 10.57745/8jzf19
title: Caco2DSSLgasseriIL8CCL2le23062023.eds

description: :unav
DOI: 10.57745/y7wmyn
title: Caco2LgasseriGAPDHTNFaIL6IL8CCL2le09082023.eds

description: :unav
DOI: 10.57745/tgtjvl
title: Caco2DSSEPSGAPDHIL8TNFCaco2DSSEPS6NFkble140423.eds

description: :unav
DOI: 10.26083/tuprints-00008756
title: Video Attachment to "Real-Time Pose Graph SLAM based on Radar", presented at IEEE Intelligent Vehicles Symposium 2019

description: This work presents a real-time pose graph based Simultaneous Localization and Mapping (SLAM) system for automotive Radar.
The algorithm constructs a map from Radar detections using the Iterative Closest Point (ICP) method to match consecutive scans obtained from a single, front-facing Radar sensor.
The algorithm is evaluated on a range of real-world datasets and shows mean translational errors as low as 0.62 m and demonstrates robustness on long tracks.
Using a single Radar, our proposed system achieves state-of-the-art
performance when compared to other Radar-based SLAM algorithms that use multiple, higher-resolution Radars.
DOI: 10.57745/xtuzix
title: Caco2DSSEPStest6het24hCCL2Myd88-MacrophagesEPS3GAPDHTLR4COX2le060423_data.xls

description: :unav
DOI: 10.57745/zkmvio
title: CalculIl6.xlsx

description: :unav
DOI: 10.57745/nf27ca
title: Caco2DSSEPSIL6CCL2Myd88NfkBle140423.eds

description: :unav
DOI: 10.57745/bnqwdh
title: PlandeplaqueELISAIL6IL10.tab

description: :unav
DOI: 10.57745/qyj1rq
title: RawDATAIL6at570nm.tab

description: :unav
DOI: 10.57745/nbrms2
title: plandeplaque1PCRCaco2.tab

description: :unav
DOI: 10.57745/hfkif6
title: CalculMTTCaco-2LgEPS24hand48h.tab

description: :unav
DOI: 10.57745/yjdae9
title: Caco2DSSEPSGAPDHIL8TNFCaco2DSSEPS6NFkble140423_data.xls

description: :unav
DOI: 10.57745/f2vgmf
title: CalculIL10.xlsx

description: :unav
DOI: 10.57745/gt1geh
title: Caco2DSSEPSEPSKLCCL2IL6Myd88le21042023.eds

description: :unav
DOI: 10.57745/ho4gwd
title: Caco2DSSLgasseri2IL8CCL2le29062023_data.xls

description: :unav
DOI: 10.57745/kjpwtf
title: Caco2DSSEPS2506h24hGAPDHIL8TNFaIL6le060423_data.xls

description: :unav
DOI: 10.57745/o4rpcf
title: RawDATAIL10at570nm.tab

description: :unav
DOI: 10.57745/s5vuan
title: PlandeplaqueMTTCaco2LgEPSLgRhiz24hand48h.tab

description: :unav
DOI: 10.57745/qk4czz
title: Caco2DSSLgasseriIL8CCL2le23062023_data.xls

description: :unav
DOI: 10.57745/t3zdq7
title: PAG23004EPS230123.pdf

description: :unav
DOI: 10.57745/kutxpl
title: mtt24h570650nmLgEPSRhizoEPSexp1.tab

description: :unav
DOI: 10.57745/vhg0fx
title: mtt48h570650nmLgEPSRhizoEPSexp1.tab

description: :unav
DOI: 10.57745/1w5eip
title: RawDATAIL6at450nm.tab

description: :unav
DOI: 10.57745/iimh5i
title: mtt48h570650nmLgEPSRhizoEPSexp2.tab

description: :unav
DOI: 10.57745/nlergd
title: Caco2LgasseriGAPDHTNFaIL6IL8CCL2le09082023_data.xls

description: :unav
DOI: 10.57745/k8ii7d
title: Caco2DSSEPSEPSKLGAPDHIL8TNFale21042023.eds

description: :unav
DOI: 10.57745/d0wk6y
title: Caco2DSSLgasseriGAPDHTNFaIL6le22062023.eds

description: :unav
DOI: 10.57745/wvxydp
title: Caco2DSSLgasseriGAPDHTNFaIL6le22062023_data.xls

description: :unav
DOI: 10.57745/yuwi50
title: Caco2DSSEPS2506h24hGAPDHIL8TNFaIL6le060423.eds

description: :unav
DOI: 10.57745/5becov
title: Caco2EPSLg2mgEPSIHEMGAPDHPCNAKi67BiPle27102023.eds

description: :unav
DOI: 10.57745/q8j7jt
title: Caco2EPSLg2mgBcl2Casp1Casp9le25102023_data.xls

description: :unav
DOI: 10.57745/witrjl
title: Caco2EPSLg2mgEPSIHEMGal3Dectin1BAX.eds

description: :unav
DOI: 10.57745/xckqzs
title: Plan de plaque2PCRCaco2LgEPS2mg.tab

description: :unav
DOI: 10.57745/c99ygg
title: Caco2EPSLg2mgGAPDHPCNAKi67BiP.eds

description: :unav
DOI: 10.57745/kdwiew
title: Caco2EPSLg2mgEPSIHEMGal3Dectin1Oclnle14112023.eds

description: :unav
DOI: 10.57745/bdzzix
title: Caco2EPSLg2mgEPSIHEMGAPDHPCNAKi67BiPle27102023_data.xls

description: :unav
DOI: 10.57745/dawl5r
title: CalculPCRCaco2LgEPS2mg.tab

description: :unav
DOI: 10.57745/ouq31z
title: Plan de plaque1PCRCaco2LgEPS2mg.tab

description: :unav
DOI: 10.57745/b7hvdu
title: Caco2EPSLg2mgEPSIHEMGal3Dectin1Oclnle14112023_data.xls

description: :unav
DOI: 10.57745/ogw4jb
title: Caco2EPSLg2mgEPSIHEMGAPDHPCNAKi67BiPle14112023.eds

description: :unav
DOI: 10.57745/ze1w4n
title: Caco2EPSLg2mgGAPDHPCNAKi67BiP_data.xls

description: :unav
DOI: 10.57745/2cj9mz
title: Caco2EPSLg2mgEPSIHEMBcl2Casp1Casp9Oclnle27102023.eds

description: :unav
DOI: 10.57745/g9udw9
title: Caco2EPSLg2mgEPSIHEMBcl2Casp1Casp9Oclnle27102023_data.xls

description: :unav
DOI: 10.57745/bfdmp5
title: Plan de plaque3PCRCaco2LgEPS2mg.tab

description: :unav
DOI: 10.57745/oitym4
title: Caco2EPSLg2mgEPSIHEMBcl2Casp1Casp9BAX_data.xls

description: :unav
DOI: 10.57745/vk02uc
title: Caco2EPSLg2mgGal3Dectin1Oclnle26102023_data.xls

description: :unav
DOI: 10.57745/km6fxz
title: Caco2EPSLg2mgEPSIHEMGal3Dectin1BAX_data.xls

description: :unav
DOI: 10.57745/fvmma0
title: Caco2EPSLg2mgEPSIHEMBcl2Casp1Casp9BAX.eds

description: :unav
DOI: 10.57745/vjdum7
title: Caco2EPSLg2mgEPSIHEMGAPDHPCNAKi67BiPle14112023_data.xls

description: :unav
DOI: 10.57745/gxwui5
title: Caco2EPSLg2mgBcl2Casp1Casp9le25102023.eds

description: :unav
DOI: 10.57745/6zd7az
title: CalculPCRMacroLgasserietMacroLPSLgasseri.tab

description: :unav
DOI: 10.57745/jki535
title: Caco2EPSLg2mgGal3Dectin1Oclnle26102023.eds

description: :unav
DOI: 10.57745/xdzkh0
title: MacroLPSLgasseriGAPDHTLR2TLR4le22062023.eds

description: :unav
DOI: 10.57745/kpvg0r
title: MacroLPSLgasseri2GAPDHTLR2TLR4le29062023.eds

description: :unav
DOI: 10.57745/qg9fas
title: MacrophagesLgasseri3IL1BIL6IL10le06072023_data.xls

description: :unav
DOI: 10.57745/qyj4pj
title: Plandeplaque1PCRMacroLgasseri.tab

description: :unav
DOI: 10.57745/is5hzw
title: MacroLPSLgasseri2IL1bIL6IL10le29062023_data.xls

description: :unav
DOI: 10.57745/wdbjze
title: MacrophagesLPSLgasseri3IL1BIL6IL10le12072023_data.xls

description: :unav
DOI: 10.57745/429pw6
title: MacrophagesLPSLgasseri3GAPDHTLR2TLR4Myd88NFkBCOX2le12072023_data.xls

description: :unav
DOI: 10.57745/m6lfcm
title: Plandeplaque1PCRMacroLPSLgasseri.tab

description: :unav
DOI: 10.57745/cgzmkf
title: Plandeplaque2PCRMacroLPSLgasseri.tab

description: :unav
DOI: 10.15468/dl.6atnts
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Periophthalmus cantonensis"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014597-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/4ndwcu
title: MacroLPSLgasseri2GAPDHTLR2TLR4le29062023_data.xls

description: :unav
DOI: 10.57745/lgz5wi
title: MacroLPSLgasseriIL1BIL6IL10le22062023.eds

description: :unav
DOI: 10.57745/nx3wwj
title: MacrophagesLPSLgasseri3IL1BIL6IL10le12072023.eds

description: :unav
DOI: 10.57745/kbmu6g
title: MacroLPSLgasseriMyd88NFkBCOX2le22062023.eds

description: :unav
DOI: 10.57745/w1rcyr
title: MacrophagesLgasseri3GAPDHTLR2TLR4Myd88NFkBCOX2le06072023_data.xls

description: :unav
DOI: 10.57745/sk8kzw
title: MacroLPSLgasseri2Myd88NfkBCOX2le29062023_data.xls

description: :unav
DOI: 10.57745/0diyor
title: MacroLPSLgasseri2Myd88NfkBCOX2le29062023.eds

description: :unav
DOI: 10.57745/cs13xz
title: MacrophagesLgasseri3GAPDHTLR2TLR4Myd88NFkBCOX2le06072023.eds

description: :unav
DOI: 10.57745/juqqcq
title: MacroLPSLgasseriIL1BIL6IL10le22062023_data.xls

description: :unav
DOI: 10.57745/asfmga
title: MacrophagesLgasseri3IL1BIL6IL10le06072023.eds

description: :unav
DOI: 10.57745/negujz
title: MacroLPSLgasseriMyd88NFkBCOX2le22062023_data.xls

description: :unav
DOI: 10.57745/nazobc
title: MacroLPSLgasseriGAPDHTLR2TLR4le22062023_data.xls

description: :unav
DOI: 10.57745/euijsu
title: MacrophagesLPSLgasseri3GAPDHTLR2TLR4Myd88NFkBCOX2le12072023.eds

description: :unav
DOI: 10.57745/zbpe7y
title: MacroLPSLgasseri2IL1bIL6IL10le29062023.eds

description: :unav
DOI: 10.57745/zxamyl
title: MacrophagesLPSEPS1EPS2TLR2TLR4le170223RCKL_data.xls

description: :unav
DOI: 10.57745/h02tnz
title: MacrophagesLPSEPS1EPS2IL6TNFale140223RCKL.eds

description: :unav
DOI: 10.57745/o1isxp
title: MacrophagesLPSEPS4et5Myd88NFkBCOX2le01062023_data.xls

description: :unav
DOI: 10.57745/86gzw9
title: plandeplaque2PCRMacroLPSEPS.tab

description: :unav
DOI: 10.57745/5jud63
title: MacrophagesEPS3il10il1bil6tnfanfkbmyd88le070423_data.xls

description: :unav
DOI: 10.57745/9t7sit
title: MacroLPSEPS6GAPDHTLR2TLR4Myd88NFkBCOX2le22062023_data.xls

description: :unav
DOI: 10.57745/thvet8
title: MacrophagesLPSEPS1EPS2TLR2TLR4le170223RCKL.eds

description: :unav
DOI: 10.57745/feixnj
title: MacrophagesEPSLgasseriTNFaIL8IL12le17112023_data.xls

description: :unav
DOI: 10.57745/jrabij
title: MacrophagesLPSEPS1EPS2GAPDHle130223RCKL_data.xls

description: :unav
DOI: 10.57745/lp0lpa
title: MacrophagesEPSLgasseriTNFaIL8IL12le17112023.eds

description: :unav
DOI: 10.57745/qfhoth
title: MacrophagesLPSEPS4et5Myd88NFkBCOX2le01062023.eds

description: :unav
DOI: 10.57745/u10tw7
title: macrophagesLPSEPS4et5GAPDHTLR2TLR4.eds

description: :unav
DOI: 10.57745/n4szyh
title: Caco2DSSEPStest6het24hCCL2Myd88MacrophagesEPS3GAPDHTLR4COX2le060423_data.xls

description: :unav
DOI: 10.57745/jgkn9c
title: MacrophagesLPSEPS4et5IL10IL1bIL6le01062023.eds

description: :unav
DOI: 10.57745/tzzzwr
title: MacrophagesLPSEPS1EPS2IL6TNFale140223RCKL_data.xls

description: :unav
DOI: 10.57745/a0x5gd
title: MacrophagesEPS3il10il1bil6tnfanfkbmyd88le070423.eds

description: :unav
DOI: 10.57745/4txex8
title: MacrophagesLPSEPSLgasseriCCL2CCL5le17112023.eds

description: :unav
DOI: 10.57745/osnb8o
title: MacrophagesLPSEPS1EPS2Myd88COX2le170223RCKL.eds

description: :unav
DOI: 10.57745/qpmdse
title: MacrophagesLPSEPS1EPS2IL10IL1ble140223RCKL_data.xls

description: :unav
DOI: 10.57745/idihgt
title: MacrophagesLPSEPS4et5IL10IL1bIL6le01062023_data.xls

description: :unav
DOI: 10.57745/plg0yx
title: CalculPCRMacroEPSetMacroLPSEPS.tab

description: :unav
DOI: 10.57745/crnn0o
title: plandeplaque2PCRMacroEPS.tab

description: :unav
DOI: 10.15468/dl.gs52t6
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocanthemum suffrutescens"
 ]
}

 The dataset includes 101 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014598-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48420/30500387
title: Approximating the performance of a time domain pulsed induction EMI sensor with multiple frequency domain FEM simulations for improved modelling of Arctic EMI sensing of ice thickness

description: One of the key challenges with developing pulsed induction (PI) electromagnetic induction (EMI) sensors for use in the arctic is the inaccessibility of the environment, which makes in-situ testing prohibitively expensive. To mitigate this, sensor development can be streamlined through creation of a robust simulation strategy with which to optimize features such as coil turns and geometry. Building on work which previously presented a method for simulating an arctic PI sensor via a time domain finite element model (FEM), this paper presents a method for approximating a time-domain simulation with multiple frequency domain simulations. A comparison between the fast Fourier transform (FFT) of a time domain simulation, a collection of frequency domain simulations is presented. These are validated against empirical data with a PI sensor over seawater, with an air gap used as proxy for sea ice. Using the method described, a range of coils have been simulated with dimensions from 0.5 × 0.5 m up to 1.0 × 2.0 m, which demonstrates the ability of this approach to allow a comparison of sensor performance over a wider parameter space. For a parametric sweep over 10 sensor-to-seawater lift off distances, the improvement from a time domain simulation (of a 402 μs window) to a frequency domain simulation (comprising 100 discrete frequencies) represents a reduction in simulation time from 38,013 minutes to 141 minutes.
DOI: 10.57745/fbmuci
title: MacrophagesLPStestamorcesTLR4etMacrophagesEPS2COX2le170223RCKL_data.xls

description: :unav
DOI: 10.57745/vjnu23
title: MacroLPSEPS6IL1bIL6IL10-MacroEPS3TLR2le22062023_data.xls

description: :unav
DOI: 10.48420/30500387.v1
title: Approximating the performance of a time domain pulsed induction EMI sensor with multiple frequency domain FEM simulations for improved modelling of Arctic EMI sensing of ice thickness

description: One of the key challenges with developing pulsed induction (PI) electromagnetic induction (EMI) sensors for use in the arctic is the inaccessibility of the environment, which makes in-situ testing prohibitively expensive. To mitigate this, sensor development can be streamlined through creation of a robust simulation strategy with which to optimize features such as coil turns and geometry. Building on work which previously presented a method for simulating an arctic PI sensor via a time domain finite element model (FEM), this paper presents a method for approximating a time-domain simulation with multiple frequency domain simulations. A comparison between the fast Fourier transform (FFT) of a time domain simulation, a collection of frequency domain simulations is presented. These are validated against empirical data with a PI sensor over seawater, with an air gap used as proxy for sea ice. Using the method described, a range of coils have been simulated with dimensions from 0.5 × 0.5 m up to 1.0 × 2.0 m, which demonstrates the ability of this approach to allow a comparison of sensor performance over a wider parameter space. For a parametric sweep over 10 sensor-to-seawater lift off distances, the improvement from a time domain simulation (of a 402 μs window) to a frequency domain simulation (comprising 100 discrete frequencies) represents a reduction in simulation time from 38,013 minutes to 141 minutes.
DOI: 10.57745/k16j2c
title: MacroLPSEPS6IL1bIL6IL10-MacroEPS3TLR2le22062023.eds

description: :unav
DOI: 10.57745/ninmsi
title: MacrophagesLPSEPS1EPS2GAPDHle130223RCKL.eds

description: :unav
DOI: 10.57745/ohdtzn
title: MacroLPSEPS6GAPDHTLR2TLR4Myd88NFkBCOX2le22062023.eds

description: :unav
DOI: 10.57745/1jtvay
title: macrophagesLPSEPS4et5GAPDHTLR2TLR4_data.xls

description: :unav
DOI: 10.57745/ykhnht
title: MacrophagesLPSEPS1EPS2TLR4NFkBle140223RCKL.eds

description: :unav
DOI: 10.57745/9eqqq3
title: plandeplaque1PCRMacroEPS.tab

description: :unav
DOI: 10.57745/aedo3w
title: MacrophagesLPSEPS1EPS2Myd88COX2le170223RCKL_data.xls

description: :unav
DOI: 10.57745/lenb8u
title: MacrophagesLPStestamorcesTLR4etMacrophagesEPS2COX2le170223RCKL.eds

description: :unav
DOI: 10.57745/yqc78k
title: plandeplaque1PCRMacroLPSEPS.tab

description: :unav
DOI: 10.57745/x8imyc
title: MacrophagesLPSEPS1EPS2TLR4NFkBle140223RCKL_data.xls

description: :unav
DOI: 10.57745/ymhend
title: MacrophagesLPSEPS1EPS2IL10IL1ble140223RCKL.eds

description: :unav
DOI: 10.57745/8qvive
title: AhRHT29exp1whiteplate.tab

description: :unav
DOI: 10.57745/a0rprl
title: PlandeplaqueHT29AhRCells.tab

description: :unav
DOI: 10.57745/da8cqj
title: AhRHT29exp3blackplate.tab

description: :unav
DOI: 10.5281/zenodo.17520156
title: Data paper vamika, dafa, varel

description: Data referensi
DOI: 10.5281/zenodo.17520157
title: Data paper vamika, dafa, varel

description: Data referensi
DOI: 10.57745/yjthwv
title: AhRHT29exp2whiteplate.tab

description: :unav