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 2221 34 2014-07-02 2019-11-25 ALGAE from the NEON data product: Periphyton, seston, and phytoplankton collection neon.ecocomdp.20166.001.001 DP1.20166.001 RELEASE-2024 https://doi.org/10.48443/3cvp-hw55%7Chttps://doi.org/10.48443/g2k4-d258%7Chttps://doi.org/10.48443/cebv-nn73%7Chttps://doi.org/10.48443/swyk-0p63 data_algae cell density cells/cm2 OR cells/mL
SMALL_MAMMALS 154 46 2013-06-19 2022-12-14 SMALL_MAMMALS from the NEON data product: Small mammal box trapping neon.ecocomdp.10072.001.001 DP1.10072.001 RELEASE-2024 https://doi.org/10.48443/j1g9-2j27%7Chttps://doi.org/10.48443/h3dk-3a71%7Chttps://doi.org/10.48443/p4re-p954%7Chttps://doi.org/10.48443/nvpj-4j94 data_small_mammal count unique individuals per 100 trap nights per plot per month
PLANTS 6664 47 2013-06-24 2022-10-26 PLANTS from the NEON data product: Plant presence and percent cover neon.ecocomdp.10058.001.001 DP1.10058.001 RELEASE-2024 https://doi.org/10.48443/abge-r811%7Chttps://doi.org/10.48443/pr5e-1q60%7Chttps://doi.org/10.48443/9579-a253%7Chttps://doi.org/10.48443/c50b-qx77 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-2024 https://doi.org/10.48443/17cz-g567%7Chttps://doi.org/10.48443/7p84-6j62%7Chttps://doi.org/10.48443/etgd-3s49%7Chttps://doi.org/10.48443/kb2e-va82 data_fish abundance catch per unit effort
BEETLES 793 47 2013-07-03 2021-12-22 BEETLES from the NEON data product: Ground beetles sampled from pitfall traps neon.ecocomdp.10022.001.001 DP1.10022.001 RELEASE-2024 https://doi.org/10.48443/tx5f-dy17%7Chttps://doi.org/10.48443/xgea-hw23%7Chttps://doi.org/10.48443/3v35-v852%7Chttps://doi.org/10.48443/rcxn-t544 data_herp_bycatch abundance count per trap day
MACROINVERTEBRATES 1409 34 2014-07-01 2021-11-23 MACROINVERTEBRATES from the NEON data product: Macroinvertebrate collection neon.ecocomdp.20120.001.001 DP1.20120.001 RELEASE-2024 https://doi.org/10.48443/855x-0n27%7Chttps://doi.org/10.48443/gn8x-k322%7Chttps://doi.org/10.48443/zj4y-4073%7Chttps://doi.org/10.48443/je35-bc57 data_macroinvertebrate density count per square meter
MOSQUITOES 133 47 2014-04-09 2022-12-28 MOSQUITOES from the NEON data product: Mosquitoes sampled from CO2 traps neon.ecocomdp.10043.001.001 DP1.10043.001 RELEASE-2024 https://doi.org/10.48443/9smm-v091%7Chttps://doi.org/10.48443/c7h7-q918%7Chttps://doi.org/10.48443/bxnk-jb11%7Chttps://doi.org/10.48443/3cyq-6v47 data_mosquito abundance count per trap hour
BIRDS 585 47 2013-06-05 2022-07-23 BIRDS from the NEON data product: Breeding landbird point counts neon.ecocomdp.10003.001.001 DP1.10003.001 RELEASE-2024 https://doi.org/10.48443/s730-dy13%7Chttps://doi.org/10.48443/88sy-ah40%7Chttps://doi.org/10.48443/00pg-vm19%7Chttps://doi.org/10.48443/4a0h-fy23 data_bird cluster size count of individuals
TICKS 20 46 2014-04-02 2022-11-23 TICKS from the NEON data product: Ticks sampled using drag cloths neon.ecocomdp.10093.001.001 DP1.10093.001 RELEASE-2024 https://doi.org/10.48443/dx40-wr20%7Chttps://doi.org/10.48443/7jh5-8s51%7Chttps://doi.org/10.48443/fh83-k817%7Chttps://doi.org/10.48443/3zmh-xx57 data_tick abundance count per square meter
ZOOPLANKTON 172 7 2014-07-02 2021-11-02 ZOOPLANKTON from the NEON data product: Zooplankton collection neon.ecocomdp.20219.001.001 DP1.20219.001 RELEASE-2024 https://doi.org/10.48443/qzr1-jr79%7Chttps://doi.org/10.48443/150d-yf27%7Chttps://doi.org/10.48443/eqmn-5b37%7Chttps://doi.org/10.48443/6kxg-hb11 data_zooplankton density count per liter
TICK_PATHOGENS 16 18 2014-04-17 2022-09-27 TICK_PATHOGENS from the NEON data product: Tick-borne pathogen status neon.ecocomdp.10092.001.001 DP1.10092.001 RELEASE-2024 https://doi.org/10.48443/5fab-xv19%7Chttps://doi.org/10.48443/nygx-dm71%7Chttps://doi.org/10.48443/nyst-jp72%7Chttps://doi.org/10.48443/4d7n-w481 data_tick_pathogen positivity rate positive tests per pathogen per sampling event
HERPTILES 137 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-2024 https://doi.org/10.48443/tx5f-dy17%7Chttps://doi.org/10.48443/xgea-hw23%7Chttps://doi.org/10.48443/3v35-v852%7Chttps://doi.org/10.48443/rcxn-t544 data_herp_bycatch abundance count per trap day

Installation

You can install the development version of neonDivData from Github with:

install.packages("neonDivData", repos = 'https://daijiang.r-universe.dev')

Available data products

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. 
#> # ℹ 71 more rows
#> # ℹ 3 more variables: `Site Type` <chr>, `Site Subtype` <chr>,
#> #   `Site Host` <chr>
neonDivData::neon_taxa
#> # A tibble: 12,467 × 4
#>    taxon_id       taxon_name                              taxon_rank taxon_group
#>    <chr>          <chr>                                   <chr>      <chr>      
#>  1 NEONDREX995034 Trachelomonas abrupta var. minor Defla… variety    ALGAE      
#>  2 NEONDREX1010   Achnanthidium minutissimum (Kützing) C… species    ALGAE      
#>  3 NEONDREX34030  Fragilaria vaucheriae (Kützing) Peters… species    ALGAE      
#>  4 NEONDREX194005 Placoneis elginensis (Gregory) Cox      species    ALGAE      
#>  5 BACILLARIOCSP  Bacillariophyceae sp.                   class      ALGAE      
#>  6 NEONDREX189007 Rossithidium anastasiae (Kaczmarska) P… species    ALGAE      
#>  7 NEONDREX212003 Chamaepinnularia evanida (Hustedt) Lan… species    ALGAE      
#>  8 NEONDREX7075   Amphora copulata (Kützing) Schoeman et… species    ALGAE      
#>  9 NEONDREX172006 Staurosira construens var. venter (Ehr… variety    ALGAE      
#> 10 NEONDREX18013  Brachysira microcephala (Kützing) Comp… species    ALGAE      
#> # ℹ 12,457 more rows
neonDivData::neon_location
#> # A tibble: 4,274 × 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…
#> # ℹ 4,264 more rows
#> # ℹ 1 more variable: aquaticSiteType <chr>
neonDivData::data_algae
#> # A tibble: 110,273 × 25
#>    location_id  siteID unique_sample_id observation_datetime taxon_id taxon_name
#>    <chr>        <chr>  <chr>            <dttm>               <chr>    <chr>     
#>  1 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Trachelom…
#>  2 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Achnanthi…
#>  3 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Fragilari…
#>  4 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Placoneis…
#>  5 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  BACILLA… Bacillari…
#>  6 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Rossithid…
#>  7 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Chamaepin…
#>  8 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Amphora c…
#>  9 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Staurosir…
#> 10 HOPB.AOS.re… HOPB   HOPB.20161005.E… 2016-10-05 10:45:00  NEONDRE… Brachysir…
#> # ℹ 110,263 more rows
#> # ℹ 19 more variables: taxon_rank <chr>, variable_name <chr>, value <dbl>,
#> #   unit <chr>, sampleCondition <chr>, perBottleSampleVolume <chr>,
#> #   release <chr>, habitatType <chr>, algalSampleType <chr>, samplerType <chr>,
#> #   benthicArea <chr>, samplingProtocolVersion <chr>,
#> #   substratumSizeClass <chr>, phytoDepth1 <chr>, phytoDepth2 <chr>,
#> #   phytoDepth3 <chr>, latitude <dbl>, longitude <dbl>, elevation <dbl>
neonDivData::data_beetle
#> # A tibble: 81,581 × 22
#>    location_id        siteID plotID unique_sample_id trapID observation_datetime
#>    <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 
#> # ℹ 81,571 more rows
#> # ℹ 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: 264,617 × 35
#>    location_id       siteID plotID pointID unique_sample_id observation_datetime
#>    <chr>             <chr>  <chr>  <chr>   <chr>            <dttm>              
#>  1 BART_025.birdGri… BART   BART_… 3       BART_025.3.2015… 2015-06-14 09:23:00 
#>  2 BART_025.birdGri… BART   BART_… 3       BART_025.3.2015… 2015-06-14 09:23:00 
#>  3 BART_025.birdGri… BART   BART_… 3       BART_025.3.2015… 2015-06-14 09:23:00 
#>  4 BART_025.birdGri… BART   BART_… 3       BART_025.3.2015… 2015-06-14 09:23:00 
#>  5 BART_025.birdGri… BART   BART_… 3       BART_025.3.2015… 2015-06-14 09:23:00 
#>  6 BART_025.birdGri… BART   BART_… 2       BART_025.2.2015… 2015-06-14 09:43:00 
#>  7 BART_025.birdGri… BART   BART_… 2       BART_025.2.2015… 2015-06-14 09:43:00 
#>  8 BART_025.birdGri… BART   BART_… 2       BART_025.2.2015… 2015-06-14 09:43:00 
#>  9 BART_025.birdGri… BART   BART_… 2       BART_025.2.2015… 2015-06-14 09:43:00 
#> 10 BART_025.birdGri… BART   BART_… 1       BART_025.1.2015… 2015-06-14 10:31:00 
#> # ℹ 264,607 more rows
#> # ℹ 29 more variables: taxon_id <chr>, taxon_name <chr>, taxon_rank <chr>,
#> #   variable_name <chr>, value <dbl>, unit <chr>, pointCountMinute <chr>,
#> #   targetTaxaPresent <chr>, nativeStatusCode <chr>, observerDistance <chr>,
#> #   detectionMethod <chr>, visualConfirmation <chr>, sexOrAge <chr>,
#> #   release <chr>, startCloudCoverPercentage <chr>,
#> #   endCloudCoverPercentage <chr>, startRH <chr>, endRH <chr>, …
neonDivData::data_fish
#> # A tibble: 6,566 × 27
#>    location_id     siteID pointID unique_sample_id observation_datetime taxon_id
#>    <chr>           <chr>  <chr>   <chr>            <dttm>               <chr>   
#>  1 HOPB.AOS.fish.… HOPB   point.… HOPB.20170501.0… 2017-05-01 00:00:00  RHIATR  
#>  2 HOPB.AOS.fish.… HOPB   point.… HOPB.20170501.0… 2017-05-01 00:00:00  SALTRU  
#>  3 HOPB.AOS.fish.… HOPB   point.… HOPB.20170501.0… 2017-05-01 00:00:00  SALFON  
#>  4 HOPB.AOS.fish.… HOPB   point.… HOPB.20171023.0… 2017-10-23 00:00:00  RHIATR  
#>  5 HOPB.AOS.fish.… HOPB   point.… HOPB.20171023.0… 2017-10-23 00:00:00  SALTRU  
#>  6 HOPB.AOS.fish.… HOPB   point.… HOPB.20171023.0… 2017-10-23 00:00:00  SALFON  
#>  7 HOPB.AOS.fish.… HOPB   point.… HOPB.20171023.0… 2017-10-23 00:00:00  SEMATR  
#>  8 HOPB.AOS.fish.… HOPB   point.… HOPB.20190506.0… 2019-05-06 00:00:00  RHIATR  
#>  9 HOPB.AOS.fish.… HOPB   point.… HOPB.20190506.0… 2019-05-06 00:00:00  SALFON  
#> 10 HOPB.AOS.fish.… HOPB   point.… HOPB.20190506.0… 2019-05-06 00:00:00  SEMATR  
#> # ℹ 6,556 more rows
#> # ℹ 21 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>,
#> #   mean_efishtime <dbl>, 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: 2,766 × 22
#>    location_id        siteID plotID unique_sample_id trapID observation_datetime
#>    <chr>              <chr>  <chr>  <chr>            <chr>  <dttm>              
#>  1 BART_002.basePlot… BART   BART_… BART_002.W.2014… W      2014-06-12 00:00:00 
#>  2 BART_028.basePlot… BART   BART_… BART_028.W.2014… W      2014-06-12 00:00:00 
#>  3 BART_066.basePlot… BART   BART_… BART_066.E.2014… E      2014-06-12 00:00:00 
#>  4 BART_031.basePlot… BART   BART_… BART_031.E.2014… E      2014-06-26 00:00:00 
#>  5 BART_066.basePlot… BART   BART_… BART_066.N.2014… N      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_002.basePlot… BART   BART_… BART_002.N.2014… N      2014-07-10 00:00:00 
#>  8 BART_031.basePlot… BART   BART_… BART_031.S.2014… S      2014-07-10 00:00:00 
#>  9 BART_028.basePlot… BART   BART_… BART_028.N.2014… N      2014-07-10 00:00:00 
#> 10 BART_031.basePlot… BART   BART_… BART_031.N.2014… N      2014-07-24 00:00:00 
#> # ℹ 2,756 more rows
#> # ℹ 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: 117,383 × 25
#>    location_id  siteID unique_sample_id observation_datetime taxon_id taxon_name
#>    <chr>        <chr>  <chr>            <dttm>               <chr>    <chr>     
#>  1 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  ABLSP    Ablabesmy…
#>  2 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  BAESP    Baetidae …
#>  3 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  CAESP5   Caenis sp.
#>  4 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  CALFLU   Callibaet…
#>  5 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  CERSP18  Ceratopog…
#>  6 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  CHISP2   Chironomi…
#>  7 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  CHISP8   Chironomu…
#>  8 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  CLISP3   Clinotany…
#>  9 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  COESP    Coenagrio…
#> 10 ARIK.AOS.re… ARIK   ARIK.20140714.C… 2014-07-14 17:51:00  CORSP4   Corixidae…
#> # ℹ 117,373 more rows
#> # ℹ 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: 135,296 × 24
#>    location_id siteID unique_sample_id subsampleID observation_datetime taxon_id
#>    <chr>       <chr>  <chr>            <chr>       <date>               <chr>   
#>  1 BART_059.m… BART   BART_059.201406… BART_059.2… 2014-06-03           AEDCOM  
#>  2 BART_059.m… BART   BART_059.201406… BART_059.2… 2014-06-03           AEDINT  
#>  3 BART_059.m… BART   BART_059.201406… BART_059.2… 2014-06-03           AEDABS  
#>  4 BART_058.m… BART   BART_058.201406… BART_058.2… 2014-06-03           AEDCOM  
#>  5 BART_058.m… BART   BART_058.201406… BART_058.2… 2014-06-03           AEDINT  
#>  6 BART_060.m… BART   BART_060.201406… BART_060.2… 2014-06-03           AEDCOM  
#>  7 BART_060.m… BART   BART_060.201406… BART_060.2… 2014-06-03           AEDABS  
#>  8 BART_060.m… BART   BART_060.201406… BART_060.2… 2014-06-03           AEDINT  
#>  9 BART_054.m… BART   BART_054.201406… BART_054.2… 2014-06-03           AEDCOM  
#> 10 BART_054.m… BART   BART_054.201406… BART_054.2… 2014-06-03           AEDCAN2 
#> # ℹ 135,286 more rows
#> # ℹ 18 more variables: taxon_name <chr>, taxon_rank <chr>, variable_name <chr>,
#> #   value <dbl>, unit <chr>, nativeStatusCode <chr>,
#> #   proportionIdentified <chr>, release <chr>, remarks_sorting <chr>,
#> #   samplingProtocolVersion <chr>, sex <chr>, sortDate <chr>, trapHours <chr>,
#> #   latitude <dbl>, longitude <dbl>, elevation <dbl>, nlcdClass <chr>,
#> #   plotType <chr>
neonDivData::data_plant
#> # A tibble: 1,148,221 × 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… 40_1_3    40         1            
#>  2 BART_006.b… BART   BART_… BART_006.basePl… 40_1_1    40         1            
#>  3 BART_006.b… BART   BART_… BART_006.basePl… 40_1_3    40         1            
#>  4 BART_006.b… BART   BART_… BART_006.basePl… 40_1_1    40         1            
#>  5 BART_006.b… BART   BART_… BART_006.basePl… 41_1_1    41         1            
#>  6 BART_006.b… BART   BART_… BART_006.basePl… 31_1_4    31         1            
#>  7 BART_006.b… BART   BART_… BART_006.basePl… 31_1_4    31         1            
#>  8 BART_006.b… BART   BART_… BART_006.basePl… 41_1_4    41         1            
#>  9 BART_006.b… BART   BART_… BART_006.basePl… 32_1_2    32         1            
#> 10 BART_006.b… BART   BART_… BART_006.basePl… 41_1_1    41         1            
#> # ℹ 1,148,211 more rows
#> # ℹ 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>, …
neonDivData::data_small_mammal
#> # A tibble: 19,098 × 22
#>    location_id      siteID plotID unique_sample_id observation_datetime taxon_id
#>    <chr>            <chr>  <chr>  <chr>            <date>               <chr>   
#>  1 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2016-08-27           MIOR    
#>  2 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2016-08-27           PEKE    
#>  3 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2016-08-27           PEMA    
#>  4 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2016-08-27           SOMO    
#>  5 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2017-04-23           MIOR    
#>  6 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2017-04-23           PEMA    
#>  7 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2017-04-23           SOMO    
#>  8 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2017-04-23           SOSP    
#>  9 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2017-04-23           SOTR    
#> 10 ABBY_002.mammal… ABBY   ABBY_… ABBY_002.mammal… 2017-04-23           SOVA    
#> # ℹ 19,088 more rows
#> # ℹ 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: 426,465 × 22
#>    location_id      siteID plotID unique_sample_id observation_datetime taxon_id
#>    <chr>            <chr>  <chr>  <chr>            <dttm>               <chr>   
#>  1 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  IXOSP   
#>  2 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  IXOSCA  
#>  3 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  AMBAME  
#>  4 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  AMBSPP  
#>  5 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  IXOSP2  
#>  6 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  IXOANG  
#>  7 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  IXOPAC  
#>  8 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  HAELEP  
#>  9 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  DERVAR  
#> 10 ABBY_001.tickPl… ABBY   ABBY_… ABBY_001_2016-0… 2016-09-22 18:12:00  IXOSCA  
#> # ℹ 426,455 more rows
#> # ℹ 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: 12,190 × 21
#>    location_id      siteID plotID unique_sample_id observation_datetime taxon_id
#>    <chr>            <chr>  <chr>  <chr>            <dttm>               <chr>   
#>  1 HARV_001.tickPl… HARV   HARV_… HARV_001.tickPl… 2014-06-02 16:10:00  Borreli…
#>  2 HARV_001.tickPl… HARV   HARV_… HARV_001.tickPl… 2014-06-24 13:50:00  Borreli…
#>  3 HARV_001.tickPl… HARV   HARV_… HARV_001.tickPl… 2014-07-14 17:53:00  Borreli…
#>  4 HARV_022.tickPl… HARV   HARV_… HARV_022.tickPl… 2015-06-03 13:30:00  Anaplas…
#>  5 HARV_022.tickPl… HARV   HARV_… HARV_022.tickPl… 2015-06-03 13:30:00  Babesia…
#>  6 HARV_022.tickPl… HARV   HARV_… HARV_022.tickPl… 2015-06-03 13:30:00  Borreli…
#>  7 HARV_022.tickPl… HARV   HARV_… HARV_022.tickPl… 2015-06-03 13:30:00  Borreli…
#>  8 HARV_022.tickPl… HARV   HARV_… HARV_022.tickPl… 2015-06-03 13:30:00  Borreli…
#>  9 HARV_022.tickPl… HARV   HARV_… HARV_022.tickPl… 2015-06-03 13:30:00  Borreli…
#> 10 HARV_022.tickPl… HARV   HARV_… HARV_022.tickPl… 2015-06-03 13:30:00  Ehrlich…
#> # ℹ 12,180 more rows
#> # ℹ 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>

Contributing

Contributions are welcome. You can provide comments and feedback or ask questions by filing an issue on Github here or making pull requests.

Code of conduct

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.