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_location; 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:
# sites too long, don't print
knitr::kable(neonDivData::data_summary[, !names(neonDivData::data_summary) %in% c("sites", "data_package_id")])| taxon_group | n_taxa | n_sites | start_date | end_date | data_package_title | neon_ecocomdp_mapping_method | original_neon_data_product_id | original_neon_data_version | original_neon_data_doi | r_object | variable_names | units |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ALGAE | 2279 | 34 | 2014-07-02 | 2020-07-28 | ALGAE from the NEON data product: Periphyton, seston, and phytoplankton collection | neon.ecocomdp.20166.001.001 | DP1.20166.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/3cvp-hw55|https://doi.org/10.48443/g2k4-d258 | data_algae | cell density | cells/cm2 OR cells/mL |
| SMALL_MAMMALS | 149 | 46 | 2013-06-19 | 2021-11-18 | SMALL_MAMMALS from the NEON data product: Small mammal box trapping | neon.ecocomdp.10072.001.001 | DP1.10072.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/j1g9-2j27|https://doi.org/10.48443/h3dk-3a71 | data_small_mammal | count | unique individuals per 100 trap nights per plot per month |
| PLANTS | 6544 | 47 | 2013-06-24 | 2021-10-13 | PLANTS from the NEON data product: Plant presence and percent cover | neon.ecocomdp.10058.001.001 | DP1.10058.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/abge-r811|https://doi.org/10.48443/pr5e-1q60 | data_plant | percent cover | percent of plot area covered by taxon |
| FISH | 158 | 28 | 2016-03-29 | 2021-12-14 | FISH from the NEON data product: Fish electrofishing, gill netting, and fyke netting counts | neon.ecocomdp.20107.001.001 | DP1.20107.001 | RELEASE-2022|PROVISIONAL|NA | https://doi.org/10.48443/17cz-g567|https://doi.org/10.48443/7p84-6j62 | data_fish | abundance | catch per unit effort |
| BEETLES | 768 | 47 | 2013-07-03 | 2021-10-05 | BEETLES from the NEON data product: Ground beetles sampled from pitfall traps | neon.ecocomdp.10022.001.001 | DP1.10022.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/tx5f-dy17|https://doi.org/10.48443/xgea-hw23 | data_herp_bycatch | abundance | count per trap day |
| MACROINVERTEBRATES | 1373 | 34 | 2014-07-01 | 2021-07-28 | MACROINVERTEBRATES from the NEON data product: Macroinvertebrate collection | neon.ecocomdp.20120.001.001 | DP1.20120.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/855x-0n27|https://doi.org/10.48443/gn8x-k322 | data_macroinvertebrate | density | count per square meter |
| MOSQUITOES | 131 | 47 | 2014-04-09 | 2021-06-11 | MOSQUITOES from the NEON data product: Mosquitoes sampled from CO2 traps | neon.ecocomdp.10043.001.001 | DP1.10043.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/9smm-v091|https://doi.org/10.48443/c7h7-q918 | data_mosquito | abundance | count per trap hour |
| BIRDS | 577 | 47 | 2013-06-05 | 2021-07-16 | BIRDS from the NEON data product: Breeding landbird point counts | neon.ecocomdp.10003.001.001 | DP1.10003.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/s730-dy13|https://doi.org/10.48443/88sy-ah40 | data_bird | cluster size | count of individuals |
| TICKS | 19 | 46 | 2014-04-02 | 2021-11-18 | TICKS from the NEON data product: Ticks sampled using drag cloths | neon.ecocomdp.10093.001.001 | DP1.10093.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/dx40-wr20|https://doi.org/10.48443/7jh5-8s51 | data_tick | abundance | count per square meter |
| ZOOPLANKTON | 166 | 7 | 2014-07-02 | 2021-07-21 | ZOOPLANKTON from the NEON data product: Zooplankton collection | neon.ecocomdp.20219.001.001 | DP1.20219.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/qzr1-jr79|https://doi.org/10.48443/150d-yf27 | data_zooplankton | density | count per liter |
| TICK_PATHOGENS | 12 | 16 | 2014-04-17 | 2020-10-01 | TICK_PATHOGENS from the NEON data product: Tick-borne pathogen status | neon.ecocomdp.10092.001.001 | DP1.10092.001 | RELEASE-2022 | https://doi.org/10.48443/5fab-xv19|https://doi.org/10.48443/nygx-dm71 | data_tick_pathogen | positivity rate | positive tests per pathogen per sampling event |
| HERPTILES | 136 | 41 | 2014-04-02 | 2021-10-06 | HERPTILES (bycatch) from the NEON data product: Ground beetles sampled from pitfall traps | neon.ecocomdp.10022.001.002 | DP1.10022.001 | RELEASE-2022|PROVISIONAL | https://doi.org/10.48443/tx5f-dy17|https://doi.org/10.48443/xgea-hw23 | data_herp_bycatch | abundance | count per trap day |
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 × 10
#> `Site Name` siteID `Domain Name` domainID State Latitude Longitude
#> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 Little Rock Lake LIRO Great Lakes D05 WI 46.0 -89.7
#> 2 West St Louis Creek WLOU Southern Roc… D13 CO 39.9 -106.
#> 3 Pu'u Maka'ala Natural… PUUM Pacific Trop… D20 HI 19.6 -155.
#> 4 Flint River FLNT Southeast D03 GA 31.2 -84.4
#> 5 McDiffett Creek 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 2 Creek TECR Pacific Sout… D17 CA 37.0 -119.
#> 9 Lower Hop Brook HOPB Northeast D01 MA 42.5 -72.3
#> 10 Martha Creek 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: 12,312 × 4
#> taxon_id taxon_name taxon_rank taxon_group
#> <chr> <chr> <chr> <chr>
#> 1 NEONDREX48008 Nitzschia dissipata (Kützing) Grunow species ALGAE
#> 2 NEONDREX33183 Eunotia minor (Kützing) Grunow species ALGAE
#> 3 NEONDREX186008 Psammothidium subatomoides (Hustedt) B… species ALGAE
#> 4 NEONDREX1032 Achnanthidium latecephalum Kobayashi species ALGAE
#> 5 NEONDREX37311 Gomphonema parvulius (Lange-Bertalot e… species ALGAE
#> 6 NEONDREX155017 Planothidium frequentissimum (Lange-Be… species ALGAE
#> 7 NEONDREX62008 Stauroneis kriegeri Patrick species ALGAE
#> 8 NEONDREX172006 Staurosira construens var. venter (Ehr… variety ALGAE
#> 9 NEONDREX1036 Achnanthidium rivulare Potapova et Pon… species ALGAE
#> 10 NEONDREX48025 Nitzschia palea (Kützing) Smith species ALGAE
#> # … with 12,302 more rows
neonDivData::neon_location
#> # A tibble: 4,259 × 8
#> location_id siteID plotID latitude longitude elevation nlcdClass
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 ABBY_001.basePlot.brd ABBY ABBY_0… 45.8 -122. 303. evergree…
#> 2 ABBY_001.basePlot.div ABBY ABBY_0… 45.8 -122. 303. evergree…
#> 3 ABBY_001.tickPlot.tck ABBY ABBY_0… 45.8 -122. 298. evergree…
#> 4 ABBY_002.basePlot.bet ABBY ABBY_0… 45.7 -122. 638. grasslan…
#> 5 ABBY_002.basePlot.brd ABBY ABBY_0… 45.7 -122. 638. grasslan…
#> 6 ABBY_002.basePlot.div ABBY ABBY_0… 45.7 -122. 638. grasslan…
#> 7 ABBY_002.mammalGrid.mam ABBY ABBY_0… 45.7 -122. 624. grasslan…
#> 8 ABBY_002.tickPlot.tck ABBY ABBY_0… 45.7 -122. 651. grasslan…
#> 9 ABBY_003.basePlot.bet ABBY ABBY_0… 45.8 -122. 602. evergree…
#> 10 ABBY_003.basePlot.brd ABBY ABBY_0… 45.8 -122. 602. evergree…
#> # … with 4,249 more rows, and 1 more variable: aquaticSiteType <chr>
neonDivData::data_algae
#> # A tibble: 114,340 × 25
#> location_id siteID unique_sample_id observation_dateti… taxon_id taxon_name
#> <chr> <chr> <chr> <dttm> <chr> <chr>
#> 1 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Nitzschia…
#> 2 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Eunotia m…
#> 3 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Psammothi…
#> 4 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Achnanthi…
#> 5 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Gomphonem…
#> 6 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Planothid…
#> 7 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Stauronei…
#> 8 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Staurosir…
#> 9 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Achnanthi…
#> 10 HOPB.AOS.rea… HOPB HOPB.20161005.E… 2016-10-05 10:45:00 NEONDRE… Nitzschia…
#> # … with 114,330 more rows, and 19 more variables: taxon_rank <chr>,
#> # variable_name <chr>, value <dbl>, unit <chr>, sampleCondition <chr>,
#> # perBottleSampleVolume <chr>, release <chr>, habitatType <chr>,
#> # algalSampleType <chr>, benthicArea <chr>, samplingProtocolVersion <chr>,
#> # substratumSizeClass <chr>, samplerType <chr>, phytoDepth1 <chr>,
#> # phytoDepth2 <chr>, phytoDepth3 <chr>, latitude <dbl>, longitude <dbl>,
#> # elevation <dbl>
neonDivData::data_beetle
#> # A tibble: 71,660 × 22
#> location_id siteID plotID unique_sample_id trapID observation_dateti…
#> <chr> <chr> <chr> <chr> <chr> <dttm>
#> 1 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2016… E 2016-09-13 00:00:00
#> 2 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2016… E 2016-09-13 00:00:00
#> 3 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2016… E 2016-09-27 00:00:00
#> 4 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2017… E 2017-05-17 00:00:00
#> 5 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2017… E 2017-05-31 00:00:00
#> 6 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2017… E 2017-05-31 00:00:00
#> 7 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2017… E 2017-06-14 00:00:00
#> 8 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2017… E 2017-06-14 00:00:00
#> 9 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2017… E 2017-06-28 00:00:00
#> 10 ABBY_002.basePlot.… ABBY ABBY_… ABBY_002.E.2018… E 2018-05-01 00:00:00
#> # … with 71,650 more rows, and 16 more variables: taxon_id <chr>,
#> # taxon_name <chr>, taxon_rank <chr>, variable_name <chr>, value <dbl>,
#> # unit <chr>, boutID <chr>, nativeStatusCode <chr>, release <chr>,
#> # remarks <chr>, samplingProtocolVersion <chr>, trappingDays <chr>,
#> # latitude <dbl>, longitude <dbl>, elevation <dbl>, nlcdClass <chr>
neonDivData::data_bird
#> # A tibble: 226,804 × 35
#> location_id siteID plotID pointID unique_sample_id observation_dateti…
#> <chr> <chr> <chr> <list> <chr> <dttm>
#> 1 BART_025.birdGrid… BART BART_… <chr> BART_025.C1.201… 2015-06-14 09:23:00
#> 2 BART_025.birdGrid… BART BART_… <chr> BART_025.C1.201… 2015-06-14 09:23:00
#> 3 BART_025.birdGrid… BART BART_… <chr> BART_025.C1.201… 2015-06-14 09:23:00
#> 4 BART_025.birdGrid… BART BART_… <chr> BART_025.C1.201… 2015-06-14 09:23:00
#> 5 BART_025.birdGrid… BART BART_… <chr> BART_025.C1.201… 2015-06-14 09:23:00
#> 6 BART_025.birdGrid… BART BART_… <chr> BART_025.B1.201… 2015-06-14 09:43:00
#> 7 BART_025.birdGrid… BART BART_… <chr> BART_025.B1.201… 2015-06-14 09:43:00
#> 8 BART_025.birdGrid… BART BART_… <chr> BART_025.B1.201… 2015-06-14 09:43:00
#> 9 BART_025.birdGrid… BART BART_… <chr> BART_025.B1.201… 2015-06-14 09:43:00
#> 10 BART_025.birdGrid… BART BART_… <chr> BART_025.A1.201… 2015-06-14 10:31:00
#> # … with 226,794 more rows, and 29 more variables: taxon_id <chr>,
#> # taxon_name <chr>, taxon_rank <chr>, variable_name <chr>, value <dbl>,
#> # unit <chr>, pointCountMinute <list>, targetTaxaPresent <list>,
#> # nativeStatusCode <list>, observerDistance <list>, detectionMethod <list>,
#> # visualConfirmation <list>, sexOrAge <list>, release <list>,
#> # startCloudCoverPercentage <list>, endCloudCoverPercentage <list>,
#> # startRH <list>, endRH <list>, observedHabitat <list>, …
neonDivData::data_fish
#> # A tibble: 6,639 × 29
#> location_id siteID pointID unique_sample_id observation_dateti… taxon_id
#> <chr> <chr> <chr> <chr> <dttm> <chr>
#> 1 HOPB.AOS.fish.p… HOPB point.… HOPB.20170501.0… 2017-05-01 00:00:00 RHIATR
#> 2 HOPB.AOS.fish.p… HOPB point.… HOPB.20170501.0… 2017-05-01 00:00:00 SALTRU
#> 3 HOPB.AOS.fish.p… HOPB point.… HOPB.20170501.0… 2017-05-01 00:00:00 SALFON
#> 4 HOPB.AOS.fish.p… HOPB point.… HOPB.20171023.0… 2017-10-23 00:00:00 RHIATR
#> 5 HOPB.AOS.fish.p… HOPB point.… HOPB.20171023.0… 2017-10-23 00:00:00 SALTRU
#> 6 HOPB.AOS.fish.p… HOPB point.… HOPB.20171023.0… 2017-10-23 00:00:00 SALFON
#> 7 HOPB.AOS.fish.p… HOPB point.… HOPB.20171023.0… 2017-10-23 00:00:00 SEMATR
#> 8 HOPB.AOS.fish.p… HOPB point.… HOPB.20190506.0… 2019-05-06 00:00:00 RHIATR
#> 9 HOPB.AOS.fish.p… HOPB point.… HOPB.20190506.0… 2019-05-06 00:00:00 SALFON
#> 10 HOPB.AOS.fish.p… HOPB point.… HOPB.20190506.0… 2019-05-06 00:00:00 SEMATR
#> # … with 6,629 more rows, and 23 more variables: taxon_name <chr>,
#> # taxon_rank <chr>, variable_name <chr>, value <dbl>, unit <chr>,
#> # reachID <chr>, samplerType <chr>, fixedRandomReach <chr>,
#> # measuredReachLength <chr>, efTime <chr>, passStartTime <chr>,
#> # passEndTime <chr>, mean_efishtime <chr>, release <chr>, netSetTime <chr>,
#> # netEndTime <chr>, netDeploymentTime <chr>, netLength <chr>, netDepth <chr>,
#> # efTime2 <chr>, latitude <dbl>, longitude <dbl>, elevation <dbl>
neonDivData::data_herp_bycatch
#> # A tibble: 2,732 × 22
#> location_id siteID plotID unique_sample_id trapID observation_dateti…
#> <chr> <chr> <chr> <chr> <chr> <dttm>
#> 1 BART_066.basePlot.… BART BART_… BART_066.E.2014… E 2014-06-12 00:00:00
#> 2 BART_002.basePlot.… BART BART_… BART_002.W.2014… W 2014-06-12 00:00:00
#> 3 BART_028.basePlot.… BART BART_… BART_028.W.2014… W 2014-06-12 00:00:00
#> 4 BART_066.basePlot.… BART BART_… BART_066.N.2014… N 2014-06-26 00:00:00
#> 5 BART_031.basePlot.… BART BART_… BART_031.E.2014… E 2014-06-26 00:00:00
#> 6 BART_068.basePlot.… BART BART_… BART_068.W.2014… W 2014-06-26 00:00:00
#> 7 BART_028.basePlot.… BART BART_… BART_028.N.2014… N 2014-07-10 00:00:00
#> 8 BART_002.basePlot.… BART BART_… BART_002.N.2014… N 2014-07-10 00:00:00
#> 9 BART_031.basePlot.… BART BART_… BART_031.S.2014… S 2014-07-10 00:00:00
#> 10 BART_068.basePlot.… BART BART_… BART_068.E.2014… E 2014-07-24 00:00:00
#> # … with 2,722 more rows, and 16 more variables: taxon_id <chr>,
#> # taxon_name <chr>, taxon_rank <chr>, variable_name <chr>, value <dbl>,
#> # unit <chr>, trappingDays <chr>, release <chr>, nativeStatusCode <chr>,
#> # remarksSorting <chr>, remarksFielddata <chr>, latitude <dbl>,
#> # longitude <dbl>, elevation <dbl>, plotType <chr>, nlcdClass <chr>
neonDivData::data_macroinvertebrate
#> # A tibble: 106,641 × 25
#> location_id siteID unique_sample_id observation_dateti… taxon_id taxon_name
#> <chr> <chr> <chr> <dttm> <chr> <chr>
#> 1 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 ABLSP Ablabesmy…
#> 2 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 BAESP Baetidae …
#> 3 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 CAESP5 Caenis sp.
#> 4 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 CALFLU Callibaet…
#> 5 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 CERSP18 Ceratopog…
#> 6 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 CHISP2 Chironomi…
#> 7 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 CHISP8 Chironomu…
#> 8 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 CLISP3 Clinotany…
#> 9 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 COESP Coenagrio…
#> 10 ARIK.AOS.rea… ARIK ARIK.20140714.C… 2014-07-14 17:51:00 CORSP4 Corixidae…
#> # … with 106,631 more rows, and 19 more variables: taxon_rank <chr>,
#> # variable_name <chr>, value <dbl>, unit <chr>, estimatedTotalCount <chr>,
#> # individualCount <chr>, subsamplePercent <chr>, release <chr>,
#> # benthicArea <chr>, habitatType <chr>, samplerType <chr>,
#> # substratumSizeClass <chr>, remarks <chr>, ponarDepth <dbl>,
#> # snagLength <dbl>, snagDiameter <dbl>, latitude <dbl>, longitude <dbl>,
#> # elevation <dbl>
neonDivData::data_mosquito
#> # A tibble: 109,212 × 26
#> location_id siteID unique_sample_id subsampleID observation_dat… taxon_id
#> <chr> <chr> <chr> <chr> <date> <chr>
#> 1 BART_059.mosqu… BART BART_059.201406… BART_059.2… 2014-06-03 AEDCOM
#> 2 BART_059.mosqu… BART BART_059.201406… BART_059.2… 2014-06-03 AEDABS
#> 3 BART_059.mosqu… BART BART_059.201406… BART_059.2… 2014-06-03 AEDINT
#> 4 BART_058.mosqu… BART BART_058.201406… BART_058.2… 2014-06-03 AEDINT
#> 5 BART_058.mosqu… BART BART_058.201406… BART_058.2… 2014-06-03 AEDCOM
#> 6 BART_060.mosqu… BART BART_060.201406… BART_060.2… 2014-06-03 AEDCOM
#> 7 BART_060.mosqu… BART BART_060.201406… BART_060.2… 2014-06-03 AEDABS
#> 8 BART_060.mosqu… BART BART_060.201406… BART_060.2… 2014-06-03 AEDINT
#> 9 BART_054.mosqu… BART BART_054.201406… BART_054.2… 2014-06-03 AEDCOM
#> 10 BART_054.mosqu… BART BART_054.201406… BART_054.2… 2014-06-03 AEDINT
#> # … with 109,202 more rows, and 20 more variables: taxon_name <chr>,
#> # taxon_rank <chr>, variable_name <chr>, value <dbl>, unit <chr>,
#> # nativeStatusCode <chr>, release <chr>, remarks_sorting <chr>,
#> # samplingProtocolVersion <chr>, sex <chr>, sortDate <chr>,
#> # subsampleWeight <chr>, totalWeight <chr>, trapHours <chr>,
#> # weightBelowDetection <chr>, latitude <dbl>, longitude <dbl>,
#> # elevation <dbl>, nlcdClass <chr>, plotType <chr>
neonDivData::data_plant
#> # A tibble: 1,034,093 × 26
#> location_id siteID plotID unique_sample_id subplotID subplot_id subsubplot_id
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 BART_006.b… BART BART_… BART_006.basePl… 31.4.1 31 4
#> 2 BART_006.b… BART BART_… BART_006.basePl… 31.4.1 31 4
#> 3 BART_006.b… BART BART_… BART_006.basePl… 41.1.1 41 1
#> 4 BART_006.b… BART BART_… BART_006.basePl… 41.4.1 41 4
#> 5 BART_006.b… BART BART_… BART_006.basePl… 41.4.1 41 4
#> 6 BART_006.b… BART BART_… BART_006.basePl… 41.4.1 41 4
#> 7 BART_006.b… BART BART_… BART_006.basePl… 32.2.1 32 2
#> 8 BART_006.b… BART BART_… BART_006.basePl… 41.1.1 41 1
#> 9 BART_006.b… BART BART_… BART_006.basePl… 32.4.1 32 4
#> 10 BART_006.b… BART BART_… BART_006.basePl… 32.4.1 32 4
#> # … with 1,034,083 more rows, and 19 more variables:
#> # observation_datetime <dttm>, taxon_id <chr>, taxon_name <chr>,
#> # taxon_rank <chr>, variable_name <chr>, value <dbl>, unit <chr>,
#> # presence_absence <dbl>, boutNumber <chr>, nativeStatusCode <chr>,
#> # heightPlantOver300cm <chr>, heightPlantSpecies <chr>, release <chr>,
#> # sample_area_m2 <chr>, latitude <dbl>, longitude <dbl>, elevation <dbl>,
#> # plotType <chr>, nlcdClass <chr>
neonDivData::data_small_mammal
#> # A tibble: 17,279 × 22
#> location_id siteID plotID unique_sample_id observation_dat… taxon_id
#> <chr> <chr> <chr> <chr> <date> <chr>
#> 1 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2016-08-27 MIOR
#> 2 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2016-08-27 PEKE
#> 3 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2016-08-27 PEMA
#> 4 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2016-08-27 SOMO
#> 5 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2017-04-23 MIOR
#> 6 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2017-04-23 PEMA
#> 7 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2017-04-23 SOMO
#> 8 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2017-04-23 SOSP
#> 9 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2017-04-23 SOTR
#> 10 ABBY_002.mammalGrid… ABBY ABBY_… ABBY_002.mammal… 2017-04-23 SOVA
#> # … with 17,269 more rows, and 16 more variables: taxon_name <chr>,
#> # taxon_rank <chr>, variable_name <chr>, value <dbl>, unit <chr>, year <chr>,
#> # month <chr>, n_trap_nights_per_bout_per_plot <chr>,
#> # n_nights_per_bout <chr>, nativeStatusCode <chr>, release <chr>,
#> # latitude <dbl>, longitude <dbl>, elevation <dbl>, plotType <chr>,
#> # nlcdClass <chr>
neonDivData::data_tick
#> # A tibble: 357,235 × 22
#> location_id siteID plotID unique_sample_id observation_dateti… taxon_id
#> <chr> <chr> <chr> <chr> <dttm> <chr>
#> 1 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 IXOSP
#> 2 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 IXOSCA
#> 3 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 AMBAME
#> 4 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 AMBSPP
#> 5 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 IXOSP2
#> 6 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 IXOANG
#> 7 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 IXOPAC
#> 8 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 DERVAR
#> 9 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 IXOSCA
#> 10 ABBY_001.tickPlo… ABBY ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00 AMBAME
#> # … with 357,225 more rows, and 16 more variables: taxon_name <chr>,
#> # taxon_rank <chr>, variable_name <chr>, value <dbl>, unit <chr>,
#> # LifeStage <chr>, release <chr>, remarks_field <chr>, samplingMethod <chr>,
#> # targetTaxaPresent <chr>, totalSampledArea <chr>, latitude <dbl>,
#> # longitude <dbl>, elevation <dbl>, nlcdClass <chr>, plotType <chr>
neonDivData::data_tick_pathogen
#> # A tibble: 8,490 × 21
#> location_id siteID plotID unique_sample_id observation_dateti… taxon_id
#> <chr> <chr> <chr> <chr> <dttm> <chr>
#> 1 HARV_001.tickPlo… HARV HARV_… HARV_001.tickPl… 2014-06-02 16:10:00 Borreli…
#> 2 HARV_001.tickPlo… HARV HARV_… HARV_001.tickPl… 2014-06-24 13:50:00 Borreli…
#> 3 HARV_001.tickPlo… HARV HARV_… HARV_001.tickPl… 2014-07-14 17:53:00 Borreli…
#> 4 HARV_022.tickPlo… HARV HARV_… HARV_022.tickPl… 2015-06-03 13:30:00 Anaplas…
#> 5 HARV_022.tickPlo… HARV HARV_… HARV_022.tickPl… 2015-06-03 13:30:00 Babesia…
#> 6 HARV_022.tickPlo… HARV HARV_… HARV_022.tickPl… 2015-06-03 13:30:00 Borreli…
#> 7 HARV_022.tickPlo… HARV HARV_… HARV_022.tickPl… 2015-06-03 13:30:00 Borreli…
#> 8 HARV_022.tickPlo… HARV HARV_… HARV_022.tickPl… 2015-06-03 13:30:00 Borreli…
#> 9 HARV_022.tickPlo… HARV HARV_… HARV_022.tickPl… 2015-06-03 13:30:00 Borreli…
#> 10 HARV_022.tickPlo… HARV HARV_… HARV_022.tickPl… 2015-06-03 13:30:00 Ehrlich…
#> # … with 8,480 more rows, and 15 more variables: taxon_name <chr>,
#> # taxon_rank <chr>, variable_name <chr>, value <dbl>, unit <chr>,
#> # lifeStage <chr>, testProtocolVersion <chr>, release <chr>, n_tests <chr>,
#> # n_positive_tests <chr>, latitude <dbl>, longitude <dbl>, elevation <dbl>,
#> # nlcdClass <chr>, plotType <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.