The goal of neonDivData is to provide cleaned NEON organismal data to facilitate biodiversity research. The authors of this R data package have all spend lots of effort to clean NEON data for our own research; it makes the most sense to document such processes and provide the clean data product so that the large community can use them readily. This will save us time to dig into the extensive documenations of NEON data and to clean up the data individually.
Data products for all taxonomic groups are long data frames with names
in the format of data_xxx (e.g. data_plant, data_fish). Location
inforamtions are in neon_locations; taxonomic informations are in
neon_taxa.
Despite the aim of this R data package is to facilitate biodiversity
research, we keep NAs in data products so that information about
sampling effort is saved. For some taxonomic groups, we removed
observations with above genus level species identification. All codes to
clean up the NEON data are available within our Github
repo.
Users can use them to customize their own data product if needed.
Available taxonomic groups and their brief summaries:
knitr::kable(neonDivData::data_summary)| taxa | neon_DPI | data_product | n_site | n_species | start_year | end_year | modify_time |
|---|---|---|---|---|---|---|---|
| algae | DP1.20166.001 | data_algae | 33 | 1824 | 2014 | 2019 | 2020-10-30 |
| beetle | DP1.10022.001 | data_beetle | 47 | 756 | 2013 | 2020 | 2020-11-10 |
| bird | DP1.10003.001 | data_bird | 47 | 535 | 2013 | 2019 | 2020-12-08 |
| fish | DP1.20107.001 | data_fish | 27 | 125 | 2016 | 2020 | 2020-11-11 |
| herp_bycatch | DP1.10022.001 | data_herp_bycatch | 41 | 125 | 2014 | 2020 | 2021-01-03 |
| macroinvertebrate | DP1.20120.001 | data_macroinvertebrate | 34 | 1276 | 2014 | 2020 | 2020-10-30 |
| mosquito | DP1.10043.001 | data_mosquito | 47 | 126 | 2015 | 2020 | 2020-10-30 |
| plant | DP1.10058.001 | data_plant | 47 | 6075 | 2013 | 2020 | 2020-12-09 |
| small_mammal | DP1.10072.001 | data_small_mammal | 46 | 137 | 2014 | 2019 | 2020-12-08 |
| tick | DP1.10093.001 | data_tick | 41 | 19 | 2014 | 2018 | 2020-10-30 |
| tick_pathogen | DP1.10092.001 | data_tick_pathogen | 14 | 12 | 2013 | 2020 | 2020-10-30 |
| zooplankton | DP1.20219.001 | data_zooplankton | 7 | 154 | 2014 | 2020 | 2020-12-16 |
You can install the development version of neonDivData from Github with:
# install.packages("devtools")
devtools::install_github("daijiang/neonDivData")neonDivData::neon_sites
#> # A tibble: 81 x 10
#> `Site Name` siteID `Domain Name` domainID State Latitude Longitude
#> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 Little Roc… LIRO Great Lakes D05 WI 46.0 -89.7
#> 2 West St Lo… WLOU Southern Roc… D13 CO 39.9 -106.
#> 3 Pu'u Maka'… PUUM Pacific Trop… D20 HI 19.6 -155.
#> 4 Flint River FLNT Southeast D03 GA 31.2 -84.4
#> 5 McDiffett … MCDI Prairie Peni… D06 KS 38.9 -96.4
#> 6 Lewis Run LEWI Mid-Atlantic D02 VA 39.1 -78.0
#> 7 Blue River BLUE Southern Pla… D11 OK 34.4 -96.6
#> 8 Teakettle … TECR Pacific Sout… D17 CA 37.0 -119.
#> 9 Lower Hop … HOPB Northeast D01 MA 42.5 -72.3
#> 10 Martha Cre… MART Pacific Nort… D16 WA 45.8 -122.
#> # … with 71 more rows, and 3 more variables: `Site Type` <chr>, `Site
#> # Subtype` <chr>, `Site Host` <chr>
neonDivData::neon_taxa
#> # A tibble: 11,255 x 7
#> taxonID scientificName taxonRank family identificationRefe… taxa neonDPI
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 ACHNANT… Achnanthidium s… genus Achnan… NA; Academy of Nat… algae DP1.20…
#> 2 ACTINEL… Actinella sp. genus Eunoti… NA; Spaulding, S.,… algae DP1.20…
#> 3 AMPHORA… Amphora spp. genus Catenu… Academy of Natural… algae DP1.20…
#> 4 ANABAEN… Anabaena spp. genus Nostoc… Academy of Natural… algae DP1.20…
#> 5 AUDHER Audouinella her… species Acroch… M.D. Guiry in Guir… algae DP1.20…
#> 6 AULACOS… Aulacoseira spp. genus Aulaco… Academy of Natural… algae DP1.20…
#> 7 BACILLA… Bacillaria spp. genus Bacill… NA algae DP1.20…
#> 8 BACILLA… Bacillariophyce… class <NA> NA; Wehr, J.D. and… algae DP1.20…
#> 9 BACILLA… Bacillariophyce… class <NA> NA algae DP1.20…
#> 10 BATRACH… Batrachospermac… family Batrac… NA; Wehr, J.D. and… algae DP1.20…
#> # … with 11,245 more rows
neonDivData::neon_locations
#> # A tibble: 4,732 x 14
#> domainID siteID plotID namedLocation nlcdClass decimalLatitude
#> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 D01 BART BART_… BART_012.bas… deciduou… 44.0
#> 2 D01 BART BART_… BART_062.bas… deciduou… 44.1
#> 3 D01 BART BART_… BART_028.bas… evergree… 44.1
#> 4 D01 BART BART_… BART_015.bas… mixedFor… 44.0
#> 5 D01 BART BART_… BART_011.bas… mixedFor… 44.1
#> 6 D01 BART BART_… BART_007.bas… mixedFor… 44.0
#> 7 D01 BART BART_… BART_018.bas… mixedFor… 44.1
#> 8 D01 BART BART_… BART_031.bas… evergree… 44.1
#> 9 D01 BART BART_… BART_029.bas… evergree… 44.1
#> 10 D01 BART BART_… BART_068.bas… mixedFor… 44.1
#> # … with 4,722 more rows, and 8 more variables: decimalLongitude <dbl>,
#> # geodeticDatum <chr>, coordinateUncertainty <dbl>, elevation <dbl>,
#> # elevationUncertainty <dbl>, taxa <chr>, neonDPI <chr>,
#> # aquaticSiteType <chr>
neonDivData::data_algae
#> # A tibble: 85,628 x 18
#> siteID sampleID eventID namedLocation habitatType taxonID scientificName
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Leptolyngbya …
#> 2 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Achnanthidium…
#> 3 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Eunotia musci…
#> 4 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Navicula vene…
#> 5 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Nitzschia aci…
#> 6 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Encyonema ven…
#> 7 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Ulnaria contr…
#> 8 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Cocconeis pla…
#> 9 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Gomphonema mi…
#> 10 HOPB HOPB.20… HOPB.2… HOPB.AOS.rea… riffle NEONDR… Gomphonema sp.
#> # … with 85,618 more rows, and 11 more variables: family <chr>,
#> # taxonRank <chr>, collectDate <dttm>, density <dbl>,
#> # cell_density_standardized_unit <chr>, algalParameterValue <dbl>,
#> # algalParameter <chr>, perBSVol <dbl>, fieldSampleVolume <dbl>,
#> # algalSampleType <chr>, benthicArea <dbl>
neonDivData::data_beetle
#> # A tibble: 117,612 x 13
#> sampleID boutID siteID plotID namedLocation trapID collectDate
#> <chr> <chr> <chr> <chr> <chr> <chr> <dttm>
#> 1 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2016-09-13 00:00:00
#> 2 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2016-09-13 00:00:00
#> 3 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2016-09-27 00:00:00
#> 4 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2017-05-03 00:00:00
#> 5 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2017-05-17 00:00:00
#> 6 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2017-05-31 00:00:00
#> 7 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2017-05-31 00:00:00
#> 8 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2017-05-31 00:00:00
#> 9 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2017-06-14 00:00:00
#> 10 ABBY_00… ABBY_… ABBY ABBY_… ABBY_002.bas… E 2017-06-14 00:00:00
#> # … with 117,602 more rows, and 6 more variables: trappingDays <dbl>,
#> # family <chr>, taxonID <chr>, taxonRank <chr>, scientificName <chr>,
#> # count <dbl>
neonDivData::data_bird
#> # A tibble: 164,106 x 27
#> namedLocation siteID plotID pointID startDate pointCountMinute
#> <chr> <chr> <chr> <chr> <dttm> <dbl>
#> 1 BART_025.bir… BART BART_… C1 2015-06-14 09:00:00 2
#> 2 BART_025.bir… BART BART_… C1 2015-06-14 09:00:00 1
#> 3 BART_025.bir… BART BART_… C1 2015-06-14 09:00:00 2
#> 4 BART_025.bir… BART BART_… C1 2015-06-14 09:00:00 1
#> 5 BART_025.bir… BART BART_… C1 2015-06-14 09:00:00 1
#> 6 BART_025.bir… BART BART_… B1 2015-06-14 10:00:00 1
#> 7 BART_025.bir… BART BART_… B1 2015-06-14 10:00:00 4
#> 8 BART_025.bir… BART BART_… B1 2015-06-14 10:00:00 3
#> 9 BART_025.bir… BART BART_… B1 2015-06-14 10:00:00 1
#> 10 BART_025.bir… BART BART_… A1 2015-06-14 11:00:00 6
#> # … with 164,096 more rows, and 21 more variables: targetTaxaPresent <chr>,
#> # taxonID <chr>, scientificName <chr>, taxonRank <chr>, vernacularName <chr>,
#> # family <chr>, nativeStatusCode <chr>, observerDistance <dbl>,
#> # detectionMethod <chr>, visualConfirmation <chr>, sexOrAge <chr>,
#> # clusterSize <dbl>, clusterCode <chr>, startCloudCoverPercentage <dbl>,
#> # endCloudCoverPercentage <dbl>, startRH <dbl>, endRH <dbl>,
#> # observedHabitat <chr>, observedAirTemp <dbl>,
#> # kmPerHourObservedWindSpeed <dbl>, samplingProtocolVersion <chr>
neonDivData::data_fish
#> # A tibble: 4,924 x 29
#> siteID namedLocation reachID eventID samplerType taxonID taxonRank
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… RHIATR species
#> 2 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… SALTRU species
#> 3 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… SALFON species
#> 4 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… RHIATR species
#> 5 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… SALTRU species
#> 6 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… SALFON species
#> 7 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… SEMATR species
#> 8 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… RHIATR species
#> 9 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… SALFON species
#> 10 HOPB HOPB.AOS.fis… HOPB.2… HOPB.2… electrofis… SEMATR species
#> # … with 4,914 more rows, and 22 more variables: scientificName <chr>,
#> # catch_per_effort <dbl>, number_of_fish <dbl>, n_obs <int>,
#> # startDate <dttm>, endDate <dttm>, netSetTime <dttm>, netEndTime <dttm>,
#> # netDeploymentTime <dbl>, netLength <dbl>, netDepth <dbl>,
#> # fixedRandomReach <chr>, measuredReachLength <dbl>, efTime <dbl>,
#> # efTime2 <dbl>, passStartTime <dttm>, passEndTime <dttm>, passNumber <dbl>,
#> # targetTaxaPresent <chr>, year <dbl>, month <dbl>, mean_efishtime <dbl>
neonDivData::data_herp_bycatch
#> # A tibble: 2,276 x 15
#> namedLocation siteID plotID trapID setDate collectDate
#> <chr> <chr> <chr> <chr> <dttm> <dttm>
#> 1 BART_066.bas… BART BART_… E 2014-06-12 00:00:00 2014-06-26 00:00:00
#> 2 BART_028.bas… BART BART_… W 2014-06-12 00:00:00 2014-06-26 00:00:00
#> 3 BART_002.bas… BART BART_… W 2014-06-12 00:00:00 2014-06-26 00:00:00
#> 4 BART_031.bas… BART BART_… E 2014-06-26 00:00:00 2014-07-10 00:00:00
#> 5 BART_066.bas… BART BART_… N 2014-06-26 00:00:00 2014-07-10 00:00:00
#> 6 BART_068.bas… BART BART_… W 2014-06-26 00:00:00 2014-07-10 00:00:00
#> 7 BART_031.bas… BART BART_… S 2014-07-10 00:00:00 2014-07-24 00:00:00
#> 8 BART_002.bas… BART BART_… N 2014-07-10 00:00:00 2014-07-24 00:00:00
#> 9 BART_028.bas… BART BART_… N 2014-07-10 00:00:00 2014-07-24 00:00:00
#> 10 BART_028.bas… BART BART_… W 2014-07-24 00:00:00 2014-08-07 00:00:00
#> # … with 2,266 more rows, and 9 more variables: eventID <chr>,
#> # trappingDays <dbl>, taxonID <chr>, scientificName <chr>, taxonRank <chr>,
#> # individualCount <dbl>, nativeStatusCode <chr>, remarksSorting <chr>,
#> # remarksFielddata <chr>
neonDivData::data_macroinvertebrate
#> # A tibble: 119,871 x 11
#> siteID sampleID namedLocation collectDate taxonID scientificName
#> <chr> <chr> <chr> <dttm> <chr> <chr>
#> 1 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 LUMSP2 Lumbriculidae…
#> 2 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 BRUSP Brundiniella …
#> 3 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 PARSP15 Paracapnia sp.
#> 4 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 FELSP1 Feltria sp.
#> 5 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 LUMSP2 Lumbriculidae…
#> 6 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 LUMSP2 Lumbriculidae…
#> 7 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 PROSP37 Prostoma sp.
#> 8 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 LEUSP8 Leuctra sp.
#> 9 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 CERSP10 Ceratopogonin…
#> 10 HOPB HOPB.20… HOPB.AOS.rea… 2016-10-11 14:38:00 LEPSP20 Lepidostoma s…
#> # … with 119,861 more rows, and 5 more variables: family <chr>,
#> # taxonRank <chr>, subsamplePercent <dbl>, individualCount <dbl>,
#> # estimatedTotalCount <dbl>
neonDivData::data_mosquito
#> # A tibble: 86,619 x 20
#> siteID plotID namedLocation eventID sampleID taxonID scientificName taxonRank
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 BART BART_… BART_056.mos… BART.2… BART_05… CULIMP Culiseta impa… species
#> 2 BART BART_… BART_061.mos… BART.2… BART_06… CULIMP Culiseta impa… species
#> 3 BART BART_… BART_055.mos… BART.2… BART_05… CULIMP Culiseta impa… species
#> 4 BART BART_… BART_057.mos… BART.2… BART_05… ANOPUN Anopheles pun… species
#> 5 BART BART_… BART_057.mos… BART.2… BART_05… CULIMP Culiseta impa… species
#> 6 BART BART_… BART_058.mos… BART.2… BART_05… CULIMP Culiseta impa… species
#> 7 BART BART_… BART_054.mos… BART.2… BART_05… CULIMP Culiseta impa… species
#> 8 BART BART_… BART_059.mos… BART.2… BART_05… CULIMP Culiseta impa… species
#> 9 BART BART_… BART_086.mos… BART.2… BART_08… CULIMP Culiseta impa… species
#> 10 BART BART_… BART_057.mos… BART.2… BART_05… CULIMP Culiseta impa… species
#> # … with 86,609 more rows, and 12 more variables: family <chr>,
#> # nativeStatusCode <chr>, sex <chr>, collectDate <dttm>,
#> # startCollectDate <dttm>, endCollectDate <dttm>, individualCount <dbl>,
#> # estimated_totIndividuals <dbl>, trapHours <dbl>, nightOrDay <chr>,
#> # totalWeight <dbl>, subsampleWeight <dbl>
neonDivData::data_plant
#> # A tibble: 840,373 x 18
#> namedLocation siteID plotID subplotID boutNumber endDate taxonID
#> <chr> <chr> <chr> <chr> <dbl> <dttm> <chr>
#> 1 BART_012.bas… BART BART_… 32.4.1 1 2014-07-02 00:00:00 UVSE
#> 2 BART_012.bas… BART BART_… 40.3.1 1 2014-07-02 00:00:00 FRPE
#> 3 BART_012.bas… BART BART_… 40.3.1 1 2014-07-02 00:00:00 ACSAS
#> 4 BART_012.bas… BART BART_… 40.1.1 1 2014-07-02 00:00:00 FRPE
#> 5 BART_012.bas… BART BART_… 41.1.1 1 2014-07-02 00:00:00 PICEA
#> 6 BART_012.bas… BART BART_… 41.1.1 1 2014-07-02 00:00:00 UVSE
#> 7 BART_012.bas… BART BART_… 41.1.1 1 2014-07-02 00:00:00 ACPE
#> 8 BART_012.bas… BART BART_… 41.1.1 1 2014-07-02 00:00:00 FRPE
#> 9 BART_012.bas… BART BART_… 40.3.1 1 2014-07-02 00:00:00 FAGR
#> 10 BART_012.bas… BART BART_… 40.3.1 1 2014-07-02 00:00:00 UVSE
#> # … with 840,363 more rows, and 11 more variables: scientificName <chr>,
#> # taxonRank <chr>, family <chr>, nativeStatusCode <chr>, percentCover <dbl>,
#> # heightPlantOver300cm <chr>, heightPlantSpecies <dbl>, sample_area_m2 <dbl>,
#> # subplot_id <chr>, subsubplot_id <chr>, year <dbl>
neonDivData::data_small_mammal
#> # A tibble: 1,227,131 x 18
#> siteID plotID namedLocation trapCoordinate trapStatus year month day
#> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <int>
#> 1 BART BART_… BART_012.mam… H6 6 - trap … 2014 5 28
#> 2 BART BART_… BART_012.mam… H7 6 - trap … 2014 5 28
#> 3 BART BART_… BART_012.mam… J10 6 - trap … 2014 5 28
#> 4 BART BART_… BART_012.mam… H9 6 - trap … 2014 5 28
#> 5 BART BART_… BART_012.mam… H8 6 - trap … 2014 5 28
#> 6 BART BART_… BART_012.mam… G1 6 - trap … 2014 5 28
#> 7 BART BART_… BART_012.mam… G2 6 - trap … 2014 5 28
#> 8 BART BART_… BART_012.mam… G5 6 - trap … 2014 5 28
#> 9 BART BART_… BART_012.mam… G6 6 - trap … 2014 5 28
#> 10 BART BART_… BART_012.mam… G3 6 - trap … 2014 5 28
#> # … with 1,227,121 more rows, and 10 more variables: taxonID <chr>,
#> # scientificName <chr>, taxonRank <chr>, nativeStatusCode <chr>, sex <chr>,
#> # lifeStage <chr>, pregnancyStatus <chr>, tailLength <dbl>,
#> # totalLength <dbl>, weight <dbl>
neonDivData::data_tick
#> # A tibble: 120,820 x 17
#> namedLocation siteID plotID collectDate eventID sampleID sampleCode
#> <chr> <chr> <chr> <dttm> <chr> <chr> <chr>
#> 1 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 2 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 3 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 4 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 5 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 6 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 7 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 8 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 9 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> 10 BART_011.tic… BART BART_… 2014-06-02 18:32:00 BART.2… BART_01… <NA>
#> # … with 120,810 more rows, and 10 more variables: samplingMethod <chr>,
#> # totalSampledArea <dbl>, targetTaxaPresent <chr>, remarks_field <chr>,
#> # taxonID <chr>, LifeStage <chr>, IndividualCount <dbl>, taxonRank <chr>,
#> # scientificName <chr>, family <chr>
neonDivData::data_tick_pathogen
#> # A tibble: 59,920 x 12
#> namedLocation siteID plotID collectDate endDate
#> <chr> <chr> <chr> <dttm> <dttm>
#> 1 HARV_001.tic… HARV HARV_… 2014-06-02 16:10:00 2014-06-02 16:41:00
#> 2 HARV_001.tic… HARV HARV_… 2014-06-02 16:10:00 2014-06-02 16:41:00
#> 3 HARV_001.tic… HARV HARV_… 2014-06-02 16:10:00 2014-06-02 16:41:00
#> 4 HARV_001.tic… HARV HARV_… 2014-06-02 16:10:00 2014-06-02 16:41:00
#> 5 HARV_001.tic… HARV HARV_… 2014-06-24 13:50:00 2014-06-24 14:36:00
#> 6 HARV_001.tic… HARV HARV_… 2014-06-24 13:50:00 2014-06-24 14:36:00
#> 7 HARV_001.tic… HARV HARV_… 2014-07-14 17:53:00 2014-07-14 18:24:00
#> 8 HARV_022.tic… HARV HARV_… 2015-06-03 13:30:00 2015-06-03 14:20:00
#> 9 HARV_022.tic… HARV HARV_… 2015-06-03 13:30:00 2015-06-03 14:20:00
#> 10 HARV_022.tic… HARV HARV_… 2015-06-03 13:30:00 2015-06-03 14:20:00
#> # … with 59,910 more rows, and 7 more variables: hostSpecies <chr>,
#> # lifeStage <chr>, testedDate <dttm>, testingID <chr>, batchID <chr>,
#> # testResult <chr>, testPathogenName <chr>Contributions are welcome. You can provide comments and feedback or ask questions by filing an issue on Github here or making pull requests.
Please note that the ‘neonDivData’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.