QuickStart

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An OPeNDAP Quick Start Guide

This guide to using OPeNDAP's software was originally written by Tom Sgouros

OPeNDAP provides software that allows you to access data over the internet, from programs that weren't originally designed for that purpose, as well as some that were. While OPeNDAP is the original developer of the Data Access protocol which it's software uses, many other groups have adopted DAP and provide compatible clients, servers and software development kits. The DAP is a NASA community standard; here is the offical link to the specification.


With OPeNDAP software, you access data using a URL, just like a URL you would use to access a web page. However, before you request any data, you need to know how to request it in a form your browser can handle. OPeNDAP data is stored in binary form, and by default, it is transmitted that way, too.


Another thing to consider regarding an OPeNDAP URL is that a single URL might point to an archive containing 50 megabytes of data. You rarely want to request the whole thing without knowing a little about it. OPeNDAP provides sophisticated sub-sampling capabilities, but you need to know a little bit about the data in order to use them.

So here's what to do if someone gives you a raw URL, and says there's some OPeNDAP data on the other end.

What To Do With An OPeNDAP URL

Suppose someone gives you a hot tip that there's a lot of good data at:

http://test.opendap.org/dap/data/nc/sst.mnmean.nc.gz

This URL points to monthly means of sea surface temperature, worldwide, compiled by Richard Reynolds at the Climate Modeling branch of NOAA, but pretend you don't know that yet.

The simplest thing you can do with this URL is to download the data it points to. You could feed it to an OPeNDAP-enabled data analysis package like Ferret, or you could append .asc, and feed the URL to a regular web browser like Netscape. This will work, but you don't really want to do it because in binary form, there are about 60 megabytes of data at that URL.

NOTE: An OPeNDAP server will work with many different clients, some of which are supported by the OPeNDAP team, and some of which are supported by others. The operation of any individual package is beyond the scope of this manual. This guide explains how to use a typical web browser such as Netscape Navigator to discover information about the data that will be useful when analyzing data in any package.


A better strategy is to find out some information about the data. OPeNDAP has sophisticated methods for subsampling data at a remote site, but you need some information about the data first. First, we'll try looking at the data's Dataset Descriptor Structure (DDS). This provides a description of the "shape" of the data, using a vaguely C-like syntax. You get a dataset's DDS by appending .dds to the URL.

actual size

An OPeNDAP DDS(sst.mnmean.nc.gz.dds)

From the DDS shown, you can see that the dataset consists of five pieces:


  • A 89-element vector called "lat",
  • A 180-element vector called "lon",
  • A 1857-element vector called "time",
  • A 1857 by 2 array called "time_bnds", and
  • A "Grid" containing a three-dimensional array of integer values (Int16<\code>) called sst<\code>, and three "Map" vectors, which may look familiar

The Grid is a special OPeNDAP data type that includes a multidimensional array, and map vectors that indicate the independent variable values. That is, you can use a Grid to store an array where the rows are not at regular intervals. Here's a simple grid:

Gridpts.gif

A Grid

The array part of the grid would contain the data points measured at each one of the squares, the X map vector would contain the positions of the columns, and the Y map vector would contain the positions of the rows.

Of course you can also use a Grid to store arrays where the columns and rows are at regular intervals, and you'll often see OPeNDAP data that way.

(The other special OPeNDAP data type worth worrying about is the Sequence . You'll see more about them later. There are also Structures for representing arbitrary hierarchies.)

You can see from the DDS that the Reynolds data is in a 89x180x1857 element grid, and the dimensions of the Grid are called "lat", "lon", and "time". This is suggestive, but not as helpful as one could wish. To find out more about what the data is , you can look at the other important OPeNDAP structure: the DAS, or Data Attribute Structure. This is somewhat similar to the DDS, but contains information about the data, such as units and the name of the variable. Part of the DAS for the Reynolds data we saw above is shown in the figure below. Click sst.mnmean.nc.gz.das to see the rest of it.

Reynolds-das.gif

sst.mnmean.nc.gz.das

NOTE:The DAS is populated at the data provider's discretion. Because

of this, the quality of the data in it (the metadata) varies widely. The data in the Reynolds dataset used in this example are COARDS compliant. Other metadata standards you may encounter with

OPeNDAP data are HDF-EOS, EPIC, FGDC, or no metadata at all.


Now we can tell something more about the data. Apparently the lat vector contains latitude, in degrees north, and the range is from 89.5 to -89.5. Since this is a global grid, the latitude values probably go in order. We can check this by asking for just the latitude vector, like

http://test.opendap.org/dap/data/nc/sst.mnmean.nc.gz.asc?lat

What we've done here is to append a constraint expression to the OPeNDAP URL, to indicate how to constrain our request for data. Constraint expressions can take many forms. This guide will only describe a few of them. (You can refer to the User's Guide for more complete information about constraint expressions.) Try requesting the time and longitude vectors to see how this works.

According to the DAS, time is kept in "days since 1800-1-1 00:00:00" in this dataset. You can also learn from the DAS the actual time period recorded in the data which, because of your familiarity with the Julian calendar, you instantly recognize as beginning in November, 1981. You might also notice that the mask array is used to indicate land and sea, and has only the values 0 and 1.


OPeNDAP provides an info service that returns all the information we've seen so far in a single request. The returned information is also formatted differently (some would say "nicer"), and you can occasionally find server-specific documentation here, as well. Some will find this the easiest way to read the attribute and structure information. You can see what information is available by appending .info to a URL, like this:

http://test.opendap.org/dap/data/nc/sst.mnmean.nc.gz.info

Peeking at Data

Now that we know a little about the shape of the data, and the data attributes, let's look at some of the data.


You can request a piece of an array with subscripts, just like in a C program or in Matlab or many other computer languages. Use a colon to indicate a subscript range.

[0:6 ...sst/mnmean.nc.asc?time[0:6]]

This [0:6 URL] will produce

Timevec.gif

Part of a vector

If you are interested in the Reynolds dataset, you are probably more interested in the sea surface temperature data than the dependent variable vectors. The temperature data is a three-dimensional grid. To sample the [12:13[28:30][206:209]sst] Grid, you just add a dimension for time:


[12:13[28:30][206:209] ...sst/mnmean.nc.asc?sst[12:13][28:30][206:209]]


This produces something like:

Sst.gif

[12:13[28:30][206:209] Part of the Reynolds SST data]

Notice that when you ask for part of an OPeNDAP Grid, you get the array part along with the corresponding parts of the map vectors.

Note that the sst values are in celsius degrees multiplied by 100, as indicated by the scale_factor attribute of the DAS. Further, it's important to remember with this dataset, that the data were obtained by calculating spatial and temporal means. Consequently, the data points in the sst array should be ignored when the corresponding entry in the mask array indicates they are over land.

Sequence Data

Gridded data works well for satellite images, model data, and data compilations such as the Reynolds data we've just looked at. Other data, such as data measured at a specific site, is not so readily stored in that form. OPeNDAP provides a data type called a Sequence to store this kind of data.


A Sequence can be thought of as a relational data table, with each column representing a different data value, and each row representing a different data "instance." For example, an ocean {temperature profile} can be stored as a Sequence of pressure and temperature pairs, and a weather station's data can be stored as a Sequence with time in one column, and each weather variable occupying another column.

Let's look at a couple of Sequences. The first one is a collection of CTD data (hydrographic data, including temperature, pressure, salinity, and so on):

http://dods.gso.uri.edu/cgi-bin/nph-jg/rlctd

The DAS (append .das to the URL) for this data is pretty uninformative, telling us only that all the data are stored as strings:

Rlctd-das.gif

[{http://dods.gso.uri.edu/cgi-bin/nph-jg/rlctd.dasA DAS for Sequence data]


On the other hand, a lot of the information we would get from the DAS is actually encoded in the data itself, which you can see by looking at the data's DDS (append .dds to the URL):

Rlctd-dds.gif

A DDS for Sequence data

We can get some idea of the data coverage by asking for some of the time and location data, with a URL like this:


...rlctd.asc?cruiseid,station,year_s,month_s,day_s,lat_s,lon_s


This produces a response shown here.

Rlctd-cov.gif

The rlctd dates and locations


After reviewing the data in the last request, perhaps we decide we only want to see data from one of the cruises listed, or maybe only data from the month of May. We can add a selection clause to the constraint expression to select only that data. For example:


...rlctd.asc?cruiseid,station,year_s,month_s,day_s,lat_s,lon_s&month_s=5


This produces a table containing all the rows from the last example where the month datum is May. Click here to see that table.

Selection clauses can be stacked endlessly against a URL, allowing all the flexibility most people need to sample data files. Here's an example of a >50\&pres<100 URL that requests all the oxygen data in the file taken in May at a specific depth range:


...rlctd.asc?o2&month_s=5&pres>50&pres<100


The first clause in a constraint expression has a name, too. It is the projection clause. This is the list of variables that you wish to have returned, subject to the constraint of the selection clause. In the previous example, the projection clause consiste only of the o2 variable. In the one before that, the list was longer, containing 7 variables.{constraint expression!projection clause}

An Easier Way

OPeNDAP also includes a way to sample data that makes writing a constraint expression somewhat easier. Append .html to the URL, and you get a form that directs you to add information to sample the data at a URL:


...sst.mnmean.nc.html


Sending a URL ending in .html returns a form like this:

Ifh.gif

The OPeNDAP Dataset Access Form

It's useful to have a browser window open with one of these query forms in it while you read this section. Click here

 to bring up a copy of the form to use while you read. 


Near the top of the page, you'll see a box entitled "Data URL". At this point, if you've been following along, it should look pretty familiar. If you're just jumping in, it's the OPeNDAP URL connected to the data we're interested in, but unsampled.


Moving down the page, there is a list of "Global Attributes", which is really just for your perusal. At this point, there's not much to be done with this, but it is often helpful information.


The important part of the page is the "Variables" section. For each variable in the dataset, you'll see the data description (e.g. ``Array of 32 bit Reals [lat = 0..179]), a checkbox, a text input box, and a list of the variable's attributes. If you click on the checkbox, you'll see the variable's array bounds appear in the text box, and you'll see that variable appear in a constraint expression appended to the Data URL at the top of the page. If you edit the array bounds in the text box, hitting "enter" will place your edits in the Data URL box.


In the oh-so-unlikely event you dare try all this without your documentation vade mecum along, there's a \but{Show Help} button up near the top of the page. Clicking there will show you instructions about how to proceed.

NOTE: You'll see a "stride" mentioned. This is another way to

subsample an OPeNDAP array or Grid. Asking for lat[0:4] gets you the first five members of the lat array. Adding a stride value allows you to skip array values. Asking for lat[0:2:10] gets you every second array value between 0 and

10: 0, 2, 4, 6, 8, 10.

Move on down the variable list, editing your request, and experiment with adding and changing variable requests.

When you have a request you'd like to make, look at the buttons at the top of the page.

Ifh-buttons.gif

Dataset Access Form Detail

You can click on Get ASCII, and the data request will appear in a browser window, in comma-separated form. The Get Binary button will save a binary data file on your local disk. (The Send to Program will send the URL directly to an OPeNDAP client. However, it requires a suitable OPeNDAP client to be running on your computer, and also requires you to install a helper application for your browser. There are instructions for doing this at the OPeNDAP home page.)


The OPeNDAP Data Access Form interface works for Sequence data as well as Grids. However, since Sequence constraint expressions look different than Grid expressions, the form looks slightly different, too. You can see that the variable selection boxes allow you to enter relational expressions for each variable. Beside that, however, the function is exactly the same.

Ifh-seq.gif

Dataset Access Form for Sequence Data (detail)

Click here to see a copy of

 a Sequence form.

NOTE: Not all OPeNDAP servers support all the OPeNDAP functionality. There

are a few non-standard OPeNDAP servers out there in the world that only support the bare minimum required. That minimum is to respond to queries for the DDS, DAS, and (binary) data. The ASCII data and the web access form are optional add-ons that are not required for the

basic OPeNDAP function.

Finding More OPeNDAP URLs

The OPeNDAP package was developed to improve ways to share data among scientists. Many times, data comes in the form of a URL enclosed in an email message. But there are several other ways to find data served by OPeNDAP servers.

GCMD

The Global Change Master Directory is a source of a huge amount of earth science data. They now catalog OPeNDAP URLs for the datasets that have them. You can search on "OPeNDAP" right from the main page to find many of these datasets. Try that search, then click on one of the data set names that returns, and look at the bottom of the resulting Set Description page, under the heading ``Related URL.

If you make that search, check the list for the Reynolds data from chapter~1; it should be there.

OPeNDAP Dataset List

The OPeNDAP Home Page has a list of available OPeNDAP datasets. Click on Datasets in the table of contents or right here. You can find a URL and a brief description for several hundred different datasets from that list.

Web Interface

This is a little bit sneaky. Many sites that serve one OPeNDAP dataset serve several others as well. The OPeNDAP web interface (if it's enabled by the site) allows you to check the directory structure for other datasets. For example, let's look at the >Reynolds data</nowiki> we saw in chapter 1:


http://www.cdc.noaa.gov/cgi-bin/nph-nc/Datasets/reynolds_sst/sst.mnmean.nc.html


If we use the same URL, but without the file at the end, we can browse the directory of data:


http://www.cdc.noaa.gov/cgi-bin/nph-nc/Datasets/reynolds_sst/


The OPeNDAP server checks to see whether the URL is a directory, and if so, it generates a directory listing, like this:

Ifh-dir.gif

Web Interface Index Listing

You can see from the directory listing that the monthly mean dataset we've been looking at is accompanied by a weekly mean set, and a daily set. You can click on those datasets for more information about them, and proceed to examine and use them just as we've done with the other examples in chapter~1.

This list is produced by an OPeNDAP server. It only really understands

OPeNDAP data files. If the directory you're looking at has other files

in it, clicking on them will probably produce an error.

File Servers

Some datasets you'll find are actually lists of other datasets. There are a few of these file servers in the OPeNDAP Dataset List on the OPeNDAP Home Page. A file server is itself an OPeNDAP dataset, organized as a Sequence, containing URLs with some other identifying data (often time). You can request the entire dataset, or subsample it just like any other OPeNDAP dataset.


There is a file server for GSO/URI's archive of AVHRR sea surface temperature data:


http://maewest.gso.uri.edu/cgi-bin/nph-ff/catalog/avhrr.catalog


Look at this server's DDS, and the web interface, and then try asking for some data like this:


.../catalog/avhrr.catalog.asc?DODS_URL&year=2000&month=1


This produces a list of all the data URLs corresponding to measurements taken in the month of January, 2000.

Matlab GUI

The OPeNDAP Matlab GUI browser contains its own frequently updated list of available datasets. Using that software, you can select datasets with a mouse from a large selection of the available URLs. For more information, please refer to the Matlab GUI manual.

Further analysis

This guide is about forming an OPeNDAP URL. After you have figured out how to request the data, there are a variety of things you can do with it. (OPeNDAP software mentioned here is available from the OPeNDAP Home Page .)


  • Use a generic web client like geturl (a standard part of the OPeNDAP package), the free programs wget or lynx, or even a browser like Netscape Navigator or Internet Explorer to download data into a local data file. To be able to use the data further, you will probably have to download the ASCII version by using the .asc suffix on the URL, as in the examples shown.
  • There are pre-packaged OPeNDAP clients available that can download binary OPeNDAP data from the web into a useful form. As of today, command line clients (loaddods) are available for the Matlab and IDL data analysis environments, with which you can download OPeNDAP data directly into IDL or Matlab objects.
  • The Ferret and GrADS free data analysis packages both support OPeNDAP. You can use these for downloading OPeNDAP data, and for examining it afterwards. (There are limitations. As of \today , Ferret can not read datasets served as Sequence data.)
  • The Matlab analysis package also supports an OPeNDAP client attached to a graphical user interface. You can use the GUI to create a constrained OPeNDAP URL, and download the data directly into Matlab. The The OPeNDAP Matlab GUI contains more information about the Matlab GUI client.
  • If you have a data analysis program or package that you like, you can look into the possibility of linking that package to the OPeNDAP toolkit library, in effect making your program into a web-capable OPeNDAP client. OPeNDAP libraries exist to mimic the behavior of the netcdf and jgofs data access APIs. If your program already uses one of these APIs, getting it to run with OPeNDAP may be as simple as changing the libraries to which you link it. The The OPeNDAP User Guide describes how to do this, and the The OPeNDAP Toolkit Programmer's Guide describes how you can use the OPeNDAP toolkit directly to create a new application that doesn't use one of the established data access APIs.

The use of these clients, like the ways in which you can analyze the data you find, is beyond the scope of this (or any) book. Enjoy.