filename | count |
---|---|
data.zip | 22397 |
data_EPSG_4326.zip | 22397 |
preview.jpg | 22397 |
index_map.json | 147 |
Beechey_WGS.tif.xml | 1 |
Beechey_WGS-iso19139.xml | 1 |
Beechey_WGS-fgdc.xml | 1 |
bathy20.txt | 1 |
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#!/bin/bash | |
# | |
# The simplest way to create a valid BagIt bag? | |
# | |
# Usage: bagit.sh <dir_to_bag> <bag_dir> | |
# | |
# Note: you'll need to have md5deep installed: | |
# brew install md5deep | |
# apt-get install md5deep |
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{ | |
"l": "1", | |
"p": "https://lh3.googleusercontent.com/-XdUIqdMkCWA/AAAAAAAAAAI/AAAAAAAAAAA/4252rscbv5M/s64-c-mo/photo.jpg", | |
"r": [ | |
{ | |
"t": "The Internet Archive and the socio-technical construction of historical facts", | |
"u": "https://scholar.google.com/scholar_url?url=https://www.tandfonline.com/doi/abs/10.1080/24701475.2018.1455412&hl=en&sa=T&oi=gsr-r&ct=res&cd=0&d=3272375975175528132&ei=YBH7ZeXNA4Cb6rQPmrOdoA8&scisig=AFWwaeb_dRhXurIfWX0NXA2y4G9I", | |
"x": "", | |
"m": "A Ben-David, A Amram - Internet Histories, 2018", | |
"s": "This article analyses the socio-technical epistemic processes behind the construction of historical facts by the Internet Archive Wayback Machine (IAWM). Grounded in theoretical debates in Science and Technology Studies about digital and algorithmic platforms as “black boxes”, this article uses provenance information and other data traces provided by the IAWM to uncover specific epistemic processes embedded at its back-end, through a case study on the archiv |
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#!/usr/bin/env python3 | |
# | |
# usage: wacz-images.py <wacz_file> | |
# | |
# This program will extract images from the WARC files contained in a WACZ | |
# file and write them to the current working directory using the image's URL | |
# as a file location. | |
# | |
# You will need to `pip install warcio` for it to work. |
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# concatenate two videos with different resolution | |
ffmpeg -i part1.mp4 -i part2.mp4 -filter_complex "[0]scale=1280:720:force_original_aspect_ratio=decrease,pad=1280:720:(ow-iw)/2:(oh-ih)/2,setsar=1[v0];[1]scale=1280:720:force_original_aspect_ratio=decrease,pad=1280:720:(ow-iw)/2:(oh-ih)/2,setsar=1[v1];[v0][0:a:0][v1][1:a:0]concat=n=2:v=1:a=1[v][a]" -map "[v]" -map "[a]" out.mp4 |
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#!/usr/bin/env python3 | |
import sys | |
import requests | |
title = sys.argv[1] | |
api_url = "https://api.crossref.org/works" | |
response = requests.get(api_url, params={"query.title": title}) |
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[13] Sufjan Stevens - Javelin [Clash, The Fader, PopMatters, Pitchfork, The Line of Best Fit, Consequence, Rolling Stone, Exclaim, Paste, Mojo, Uncut, Piccadilly Records, Rough Trade] | |
[12] Kelela - Raven [Clash, The Fader, The Forty-Five, PopMatters, Pitchfork, Crack, The Line of Best Fit, Consequence, Rolling Stone, Exclaim, Paste, The Quietus] | |
[12] Wednesday - Rat Saw God [Clash, The Fader, The Forty-Five, PopMatters, Pitchfork, The Line of Best Fit, Consequence, Rolling Stone, Exclaim, Paste, Uncut, Rough Trade] | |
[11] Noname - Sundial [Clash, The Fader, The Forty-Five, The Wire, PopMatters, Pitchfork, Crack, The Line of Best Fit, Rolling Stone, Paste, The Quietus] | |
[9] Mitski - The Land Is Inhospitable and So Are We [Clash, The Fader, PopMatters, Pitchfork, The Line of Best Fit, Consequence, Rolling Stone, Exclaim, Mojo] | |
[9] Lankum - False Lankum [Clash, Concrete Islands, Crack, The Line of Best Fit, Fast 'n' Bulbous, Louder Than War, Mojo, Uncut, The Quietus] | |
[8] Amaarae - Fountain Baby [Clash, The Fader, T |
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#!/usr/bin/env python3 | |
import csv | |
import json | |
from collections import OrderedDict | |
from collections import Counter | |
def trace(data, shape=None): | |
if isinstance(data, dict): | |
new_dict = OrderedDict() |
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