updated paths to header image file

ObsPy/00_Introduction.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<div style='background-image: url(\"../share/images/header.svg\") ; padding: 0px ; background-size: cover ; border-radius: 5px ; height: 250px'>\n",
+    "<div style='background-image: url(\"../images/header.svg\") ; padding: 0px ; background-size: cover ; border-radius: 5px ; height: 250px'>\n",
     "    <div style=\"float: right ; margin: 50px ; padding: 20px ; background: rgba(255 , 255 , 255 , 0.7) ; width: 50% ; height: 150px\">\n",
     "        <div style=\"position: relative ; top: 50% ; transform: translatey(-50%)\">\n",
     "            <div style=\"font-size: xx-large ; font-weight: 900 ; color: rgba(0 , 0 , 0 , 0.8) ; line-height: 100%\">ObsPy Tutorial</div>\n",
@@ -61,7 +61,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,

ObsPy/04_Station_metainformation.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["<div style='background-image: url(\"../share/images/header.svg\") ; padding: 0px ; background-size: cover ; border-radius: 5px ; height: 250px'>\n", "    <div style=\"float: right ; margin: 50px ; padding: 20px ; background: rgba(255 , 255 , 255 , 0.7) ; width: 50% ; height: 150px\">\n", "        <div style=\"position: relative ; top: 50% ; transform: translatey(-50%)\">\n", "            <div style=\"font-size: xx-large ; font-weight: 900 ; color: rgba(0 , 0 , 0 , 0.8) ; line-height: 100%\">ObsPy Tutorial</div>\n", "            <div style=\"font-size: large ; padding-top: 20px ; color: rgba(0 , 0 , 0 , 0.5)\">Handling Station Metadata</div>\n", "        </div>\n", "    </div>\n", "</div>"]}, {"cell_type": "markdown", "metadata": {}, "source": ["Seismo-Live: http://seismo-live.org\n", "\n", "##### Authors:\n", "* Lion Krischer ([@krischer](https://github.com/krischer))\n", "* Tobias Megies ([@megies](https://github.com/megies))\n", "---"]}, {"cell_type": "markdown", "metadata": {}, "source": ["![](images/obspy_logo_full_524x179px.png)"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "plt.style.use('ggplot')\n", "plt.rcParams['figure.figsize'] = 12, 8"]}, {"cell_type": "markdown", "metadata": {}, "source": ["- for station metadata, the de-facto standard of the future (replacing SEED/RESP) is [FDSN StationXML](http://www.fdsn.org/xml/station/)\n", "- FDSN StationXML files can be read using **`read_inventory()`**"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["from obspy import read_inventory\n", "# real-world StationXML files often deviate from the official schema definition\n", "# therefore file-format autodiscovery sometimes fails and we have to force the file format\n", "inventory = read_inventory(\"./data/station_PFO.xml\", format=\"STATIONXML\")\n", "print(type(inventory))"]}, {"cell_type": "markdown", "metadata": {}, "source": ["- the nested ObsPy Inventory class structure (Inventory/Station/Channel/Response/...) is closely modelled after FDSN StationXML\n", "<img src=\"images/Inventory.svg\" width=90%>"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["!head data/station_BFO.xml"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["print(inventory)"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["network = inventory[0]\n", "print(network)"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["station = network[0]\n", "print(station)"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["channel = station[0]\n", "print(channel)"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["print(channel.response)"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["from obspy import read\n", "st = read(\"./data/waveform_PFO.mseed\")\n", "print(st)"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["inv = read_inventory(\"./data/station_PFO.xml\", format=\"STATIONXML\")"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["print(st[0].stats)"]}, {"cell_type": "markdown", "metadata": {}, "source": ["- the instrument response can be deconvolved from the waveform data using the convenience method **`Stream.remove_response()`**\n", "- evalresp is used internally to calculate the instrument response"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["st.plot()\n", "st.remove_response(inventory=inv)\n", "st.plot()"]}, {"cell_type": "markdown", "metadata": {}, "source": ["- several options can be used to specify details of the deconvolution (water level, frequency domain prefiltering), output units (velocity/displacement/acceleration), demeaning, tapering and to specify if any response stages should be omitted"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["st = read(\"./data/waveform_PFO.mseed\")\n", "st.remove_response(inventory=inv, water_level=60, pre_filt=(0.01, 0.02, 8, 10), output=\"DISP\")\n", "st.plot()"]}, {"cell_type": "markdown", "metadata": {}, "source": ["- station metadata not present in StationXML yet but in Dataless SEED or RESP files can be used for instrument correction using the `.simulate()` method of Stream/Trace in a similar fashion"]}], "metadata": {"kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"}}, "nbformat": 4, "nbformat_minor": 2}
+{"cells":[{"cell_type":"markdown","metadata":{},"source":["<div style='background-image: url(\"../images/header.svg\") ; padding: 0px ; background-size: cover ; border-radius: 5px ; height: 250px'>\n","    <div style=\"float: right ; margin: 50px ; padding: 20px ; background: rgba(255 , 255 , 255 , 0.7) ; width: 50% ; height: 150px\">\n","        <div style=\"position: relative ; top: 50% ; transform: translatey(-50%)\">\n","            <div style=\"font-size: xx-large ; font-weight: 900 ; color: rgba(0 , 0 , 0 , 0.8) ; line-height: 100%\">ObsPy Tutorial</div>\n","            <div style=\"font-size: large ; padding-top: 20px ; color: rgba(0 , 0 , 0 , 0.5)\">Handling Station Metadata</div>\n","        </div>\n","    </div>\n","</div>"]},{"cell_type":"markdown","metadata":{},"source":["Seismo-Live: http://seismo-live.org\n","\n","##### Authors:\n","* Lion Krischer ([@krischer](https://github.com/krischer))\n","* Tobias Megies ([@megies](https://github.com/megies))\n","---"]},{"cell_type":"markdown","metadata":{},"source":["![](images/obspy_logo_full_524x179px.png)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["%matplotlib inline\n","import matplotlib.pyplot as plt\n","plt.style.use('ggplot')\n","plt.rcParams['figure.figsize'] = 12, 8"]},{"cell_type":"markdown","metadata":{},"source":["- for station metadata, the de-facto standard of the future (replacing SEED/RESP) is [FDSN StationXML](http://www.fdsn.org/xml/station/)\n","- FDSN StationXML files can be read using **`read_inventory()`**"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["from obspy import read_inventory\n","# real-world StationXML files often deviate from the official schema definition\n","# therefore file-format autodiscovery sometimes fails and we have to force the file format\n","inventory = read_inventory(\"./data/station_PFO.xml\", format=\"STATIONXML\")\n","print(type(inventory))"]},{"cell_type":"markdown","metadata":{},"source":["- the nested ObsPy Inventory class structure (Inventory/Station/Channel/Response/...) is closely modelled after FDSN StationXML\n","<img src=\"images/Inventory.svg\" width=90%>"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["!head data/station_BFO.xml"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["print(inventory)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["network = inventory[0]\n","print(network)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["station = network[0]\n","print(station)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["channel = station[0]\n","print(channel)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["print(channel.response)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["from obspy import read\n","st = read(\"./data/waveform_PFO.mseed\")\n","print(st)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["inv = read_inventory(\"./data/station_PFO.xml\", format=\"STATIONXML\")"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["print(st[0].stats)"]},{"cell_type":"markdown","metadata":{},"source":["- the instrument response can be deconvolved from the waveform data using the convenience method **`Stream.remove_response()`**\n","- evalresp is used internally to calculate the instrument response"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["st.plot()\n","st.remove_response(inventory=inv)\n","st.plot()"]},{"cell_type":"markdown","metadata":{},"source":["- several options can be used to specify details of the deconvolution (water level, frequency domain prefiltering), output units (velocity/displacement/acceleration), demeaning, tapering and to specify if any response stages should be omitted"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["st = read(\"./data/waveform_PFO.mseed\")\n","st.remove_response(inventory=inv, water_level=60, pre_filt=(0.01, 0.02, 8, 10), output=\"DISP\")\n","st.plot()"]},{"cell_type":"markdown","metadata":{},"source":["- station metadata not present in StationXML yet but in Dataless SEED or RESP files can be used for instrument correction using the `.simulate()` method of Stream/Trace in a similar fashion"]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"nbformat":4,"nbformat_minor":2}