[Solved] Google Earth Engine Exporting Image Collection

damehero Asks: Google Earth Engine Exporting Image Collection
I am new to Google Earth Engine and satellite imagery in general. My goal is to export bands B1-B7 from the [Landsat 8 image collection][2] over a given geometry and be able to visualize each band (or combination of bands) in a jupyter notebook. However, I am only able to export the median of my geometry in order to convert the image collection to an image. How can I export my geometry in a way that doesn’t capture the median of each band?

 * Function to mask clouds based on the pixel_qa band of Landsat 8 SR data.
 * @param {ee.Image} image input Landsat 8 SR image
 * @return {ee.Image} cloudmasked Landsat 8 image
function maskL8sr(image) {
  // Bits 3 and 5 are cloud shadow and cloud, respectively.
  var cloudShadowBitMask = (1 << 3);
  var cloudsBitMask = (1 << 5);
  // Get the pixel QA band.
  var qa = image.select('pixel_qa');
  // Both flags should be set to zero, indicating clear conditions.
  var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)
  return image.updateMask(mask);

var dataset = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR')
                  .filterDate('2016-01-01', '2016-12-31')
var landsat8 = dataset.median().clip(polygon);

var visParams = {
  bands: ['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7'],
  min: 0,
  max: 3000,
  gamma: 1.4,
Map.setCenter(13.534922,-12.350257, 16);
Map.addLayer(landsat8.median(), visParams);

  image: landsat8,
  scale: 30

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