Global Names Verifier
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Takes a scientific name or a list of scientific names and verifies them against
a variety of biodiversity Data Sources. Includes an advanced
search feature.
Citing
If you want to cite GNverifier, use DOI generated by Zenodo:
Features
- Small and fast app to verify scientific names against many biodiversity
databases. The app is a client to a verifier API.
- It provides 6 different match levels:
- Exact: complete match with a canonical form or a full name-string
from a data source.
- Fuzzy: if exact match did not happen, it tries to match name-strings
assuming spelling errors.
- Partial: strips middle or last epithets from bi- or multi-nomial names
and tries to match what is left.
- PartialFuzzy: the same as Partial but assuming spelling mistakes.
- Virus: verification of virus names.
- FacetedSearch: marks advanced-search queries.
- Taxonomic resolution. If a database contains taxonomic information, it
returns the currently accepted name for the provided name-string.
- Best match is returned according to the match score. Data sources with some
manual curation have priority over auto-curated and uncurated datasets. For
example Catalogue of Life or WoRMS are considered curated,
GBIF auto-curated, uBio not curated.
- Fine-tuning the match score by matching authors, years, ranks etc.
- It is possible to map any name-strings checklist to any of registered
Data Sources.
- If a Data Source provides a classification for a name, it will be returned to
the output.
- The app works for checking just one name-string, or multiple ones written in
a file.
- Advanced search uses simple but powerful
query language
to find abbreviated names, search by author, year etc.
- Supports feeding data via pipes of an operating system. This feature allows
to chain the program together with other tools.
- GNverifier includes a web-based graphical user interface identical to its
"official" web-service.
Installation
Using Homebrew on Mac OS X, Linux, and Linux on Windows (WSL2)
Homebrew is a popular package manager for Open Source software originally
developed for Mac OS X. Now it is also available on Linux, and can easily
be used on Windows 10 or 11, if Windows Subsystem for Linux (WSL) is
installed.
To use GNverifier with Homebrew:
-
Install Homebrew
-
Open terminal and run the following commands:
brew tap gnames/gn
brew install gnverifier
MS Windows
Download the latest release from GitHub, unzip.
One possible way would be to create a default folder for executables and place
GNverifier
there.
Use Windows+R
keys
combination and type "cmd
". In the appeared terminal window type:
mkdir C:\Users\your_username\bin
copy path_to\gnverifier.exe C:\Users\your_username\bin
Add C:\Users\your_username\bin
directory to your PATH
user
and/or system
environment variable.
Another, simpler way, would be to use cd C:\Users\your_username\bin
command
in cmd
terminal window. The GNverifier program then will be automatically
found by Windows operating system when you run its commands from that
directory.
You can also read a more detailed guide for Windows users in
a PDF document.
Linux and Mac (without Homebrew)
If Homebrew is not installed, download the latest release from GitHub,
untar, and install binary somewhere in your path.
tar xvf gnverifier-linux-0.1.0.tar.xz
# or tar xvf gnverifier-mac-0.1.0.tar.gz
sudo mv gnverifier /usr/local/bin
Compile from source
Install Go according to installation instructions
go get github.com/gnames/gnverifier/gnverifier
Usage
GNverifier takes one name-string or a text file with one name-string per
line as an argument, sends a query with these data to a remote GNames
server to match the name-strings against many biodiversity
databases and returns results to STDOUT either in JSON, CSV or TSV format.
The app can alto take a query string like
g:M. sp:galloprovincialis au:Olivier
to perform advanced searching,
if the full scientific name is undetermined.
As a web service
gnverifier -p 8080
After running this command, you should be able to access web-based user
interface via a browser at http://localhost:8080
As a RESTful API
Refer to the RESTful API docs to learn how to use the same
functionality via scripts.
One name-string
gnverifier "Monohamus galloprovincialis"
Many name-strings in a file
gnverifier /path/to/names.txt
The app assumes that a file contains a simple list of names, one per line.
It is also possible to feed data via STDIN:
cat /path/to/names.txt | gnverifier
Advanced search
Advanced search allows to use a simple but powerful query language to find names
by abbreviated genus, a year or a range of years. See detailed description
in Advanced Search Query Language section.
gnverifier "g:B. sp:bubo au:Linn. y:1700-"
Options and flags
According to POSIX standard flags and options can be given either before or
after name-string or file name.
help
gnverifier -h
# or
gnverifier --help
# or
gnverifier
version
gnverifier -V
# or
gnverifier --version
port
Starts GNverifier as a web service using entered port
gnverifier -p 8080
This command will run user-interface accessible by a browser
at http://localhost:8080
all_matches
To see all matches instead of the best one use --all_matches flag.
WARNING: for some names the result will be excessively large.
gnverifier -s '1,12' -M file.txt
This flag is ignored by advanced search.
capitalize
If your names are co not have uninomials or genera capitalized according to
rules on nomenclature, you can still verify them using this option. If
capitalize
flag is set, the first character of every name-string will be
capitalized (when appropriate). This flag is ignores by advanced search.
gnverifier -c "bubo bubo"
# or
gnverifier --capitalize "bubo bubo"
species group
If species_group
flag is on, a search of Aus bus
would also search for
Aus bus bus
and vice versa. This flag expands search to a species group of
a name if applicable. It means it involves into search botanical autonyms and
coordinated names in zoology.
gnverifier -g "Bubo bubo"
gnverifier --species_group "Bubo bubo"
fuzzy-match of uninomial names
When fuzzy_uninomial
flag is on, uninomials are allowed to go through
fuzzy matching, if needed. Normally this flag is off because fuzzy-matched
uninomials create a significant amount of false positives.
gnverifier -z "Pomatmus"
gnverifier --fuzzy_uninomial "Pomatmus"
Allows to pick a format for output. Supported formats are
- compact: one-liner JSON.
- pretty: prettified JSON with new lines and tabs for easier reading.
- tsv: returns tab-separated values representation.
- csv: (DEFAULT) returns comma-separated values representation.
# short form for compact JSON format
gnverifier -f compact file.txt
# or long form for "pretty" JSON format
gnverifier --format="pretty" file.csv
# tsv format
gnverifier -f tsv file.csv
Note that a separate JSON "document" is returned for each separate record,
instead of returning one big JSON document for all records. For large lists it
significantly speeds up parsing of the JSON on the user side.
jobs
If the list of names if very large, it is possible to tell GNverifier to
run requests in parallel. In this example GNverifier will run 8 processes
simultaneously. The order of returned names will be somewhat randomized.
gnverifier -j 8 file.txt
# or
gnverifier --jobs=8 file.tsv
Sometimes it is important to return names in exactly same order. For such
cases set jobs
flag to 1.
gnverifier -j 1 file.txt
This option is ignored by advanced search.
quiet
Removes log messages from the output. Note that results of verification go
to STDOUT, while log messages go to STDERR. So instead of using -q
flag
STDERR can be redirected to /dev/null
:
gnverifier "Puma concolor" -q >verif-results.csv
#or
gnverifier "Puma concolor 2>/dev/null >verif-results.csv
sources
By default GNverifier returns only one "best" result of a match. If a user
has a particular interest in a data set, s/he can set it with this option, and
all matches that exist for this source will be returned as well. You need to
provide a data source id for a dataset. Ids can be found at the following
URL. Some of them are provided in the GNverifier help
output as well.
Data from such sources will be returned in preferred_results section of JSON
output, or with CSV/TSV rows that start with "PreferredMatch" string.
gnverifier file.csv -s "1,11,172"
# or
gnverifier file.tsv --sources="12"
# or
cat file.txt | gnverifier -s '1,12'
If all matched sources need to be returned, set the flag to "0".
WARNING: the result might be excessively large.
gnverifier "Bubo bubo" -s 0
# potentially even more results get returned by adding --all_matches flag
gnverifier "Bubo bubo" -s 0 -M
The sources
option would overwrite ds:
settings in case of advanced search.
web-logs
Requires --port
. Enables output of logs for web-services.
gnverifier -p 8777 --web-logs
nsqd-tcp
Requires --port
. Allows redirecting web-service log output to NSQ
messaging server's TCP-based endpoint. It is handy for aggregations of logs
from GNverifier web-services running inside of Docker containers or in
Kubernetes pods.
gnverifier -p 8777 --nsqd-tcp=localhost:4150
# with logs printed out
gnverifier -p 8777 --nsqd-tcp=localhost:4150 --with-logs
Configuration file
If you find yourself using the same flags over and over again, it makes sense
to edit configuration file instead. It is located at
$HOME/.config/gnverifier.yaml
. After that you do not need to use command line
options and flags. Configuration file is self-documented, the default
gnverifier.yaml is located on GitHub
gnverifier file.txt
In case if GNverifier runs as a web-based user interface, it is also
possible to use environment variables for configuration.
Env. Var. |
Configuration |
GNV_FORMAT |
Format |
GNV_DATA_SOURCES |
DataSources |
GNV_WITH_ALL_MATCHES |
WithAllMatches |
GNV_WITH_CAPITALIZATION |
WithCapitalization |
GNV_VERIFIER_URL |
VerifierURL |
GNV_JOBS |
Jobs |
GNV_WEB_LOGS_NSQD_TCP |
WebLogsNsqdTCP |
GNV_WITH_WEB_LOGS |
WithWebLogs |
Advanced Search Query Language
Example: g:M. sp:gallop. au:Oliv. y:1750-1799
or n:M. gallop. Oliv. 1750-1799
Query language allows searching for scientific names using name components
like genus name, specific epithet, infraspecific epithet, author, year.
It includes following operators:
g:
: Genus name, can be abbreviated (for example g:Bubo
, g:B.
).
sp:
: specific epithet, can be abbreviated (for example sp:galloprovincialis
,
sp:gallop.
).
isp:
: Infraspecific epithet, can be abbreviated (for example isp:auspicalis
,
isp:ausp.
).
asp:
: Either specific, or infraspecific epithet (for example asp:bubo
).
au:
: One of the authors of a name, can be abbreviated (for example au:Linn.
,
au:Linnaeus
).
y:
: Year. Can be one year, or a year range (for example y:1888
, y:1800-1802
,
y:1756-
, y:-1880
)
ds:
: Limit result to one or more data-sources. Note that command line sources
option, if given, will overwrite this setting (ds:1,2,172
).
tx:
: Parent taxon. Limit results to names that contain a particular higher taxon
in their classification. If ds:
is given, uses the classification of the
first data-source in the setting. If ds:
is not given, uses managerial
classification of the Catalogue of Life (tx:Hemiptera
, tx:Animalia
,
tx:Magnoliopsida
).
all:
: If true, GNverifier will show all results, not only the best ones.
The setting can be true
or false
(all:t
, all:f
). This setting
will also become true if sources
command line option is set to 0
.
n:
: A "name" setting. It allows to combine several query components together
for convenience. Note that it is not a 'real' scientific name, but a shortcut
to enter several settings at once loosely following rules of nomenclature
(n:B. bubo Linn. 1758
). For example, in contrast with GNparser results, it
is possible to have abbreviated specific epithets or range in
years: n:Mono. gall. Oliv. 1750-1800
.
Often there are errors in species epithets gender. Because of that search
will try to detect names in any gender that correspond to the epithet.
The search requires to have either sp:
, isp:
or asp:
setting,
or provide their analogs in n:
setting.
Examples of searches
gnverifier "n:Pom. saltator tx:Animalia y:1750-"
gnverifier "g:Plantago asp:major au:Linn."
gnverifier "g:Cara. isp:daurica ds:1,12"
Copyright
Authors: Dmitry Mozzherin
Copyright © 2020-2023 Dmitry Mozzherin. See LICENSE for further
details.