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diff --git a/datasets/scanline_42049/get_scanline_42049.py b/datasets/scanline_42049/get_scanline_42049.py
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+++ b/datasets/scanline_42049/get_scanline_42049.py
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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+"""
+Collect the scanline_42049 dataset.
+
+See the README file for more information.
+
+Author: Gertjan van den Burg
+License: This file is part of TCPD, see the top-level LICENSE file.
+Copyright: 2019, The Alan Turing Institute
+
+"""
+
+import argparse
+import hashlib
+import os
+import numpy as np
+import json
+
+from PIL import Image
+from functools import wraps
+from urllib.request import urlretrieve
+
+IMG_URL = "https://web.archive.org/web/20070611230044im_/http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/segbench/BSDS300/html/images/plain/normal/gray/42049.jpg"
+
+MD5_IMG = "75a3d395b4f3f506abb9edadacaa4d55"
+MD5_JSON = "39921dfa959576bd0b3d6c95558f17f4"
+
+NAME_IMG = "42049.jpg"
+NAME_JSON = "scanline_42049.json"
+
+
+class ValidationError(Exception):
+    def __init__(self, filename):
+        self.message = (
+            "Validating the file '%s' failed. \n"
+            "Please raise an issue on the GitHub page for this project \n"
+            "if the error persists." % filename
+        )
+
+
+def check_md5sum(filename, checksum):
+    with open(filename, "rb") as fp:
+        data = fp.read()
+    h = hashlib.md5(data).hexdigest()
+    return h == checksum
+
+
+def validate(checksum):
+    """Decorator that validates the target file."""
+
+    def validate_decorator(func):
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            target = kwargs.get("target_path", None)
+            if os.path.exists(target) and check_md5sum(target, checksum):
+                return
+            out = func(*args, **kwargs)
+            if not os.path.exists(target):
+                raise FileNotFoundError("Target file expected at: %s" % target)
+            if not check_md5sum(target, checksum):
+                raise ValidationError(target)
+            return out
+
+        return wrapper
+
+    return validate_decorator
+
+
+@validate(MD5_IMG)
+def download_img(target_path=None):
+    urlretrieve(IMG_URL, target_path)
+
+
+@validate(MD5_JSON)
+def write_json(img_path, target_path=None):
+    name = "scanline_42049"
+    longname = "Scanline 42049"
+    index = 170
+
+    im = Image.open(img_path)
+    arr = np.array(im)
+    line = list(map(int, list(arr[index, :])))
+
+    series = [{"label": "Line %s" % index, "type": "int", "raw": line}]
+
+    data = {
+        "name": name,
+        "longname": longname,
+        "n_obs": len(line),
+        "n_dim": len(series),
+        "time": {"index": list(range(len(line)))},
+        "series": series,
+    }
+
+    with open(target_path, "w") as fp:
+        json.dump(data, fp, indent="\t")
+
+
+def collect(output_dir="."):
+    img_path = os.path.join(output_dir, NAME_IMG)
+    json_path = os.path.join(output_dir, NAME_JSON)
+
+    download_img(target_path=img_path)
+    write_json(img_path, target_path=json_path)
+
+
+def clean(output_dir="."):
+    img_path = os.path.join(output_dir, NAME_IMG)
+    json_path = os.path.join(output_dir, NAME_JSON)
+
+    if os.path.exists(img_path):
+        os.unlink(img_path)
+    if os.path.exists(json_path):
+        os.unlink(json_path)
+
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "-o", "--output-dir", help="output directory to use", default="."
+    )
+    parser.add_argument(
+        "action",
+        choices=["collect", "clean"],
+        help="Action to perform",
+        default="collect",
+        nargs="?",
+    )
+    return parser.parse_args()
+
+
+def main(output_dir="."):
+    args = parse_args()
+    if args.action == "collect":
+        collect(output_dir=args.output_dir)
+    elif args.action == "clean":
+        clean(output_dir=args.output_dir)
+
+
+if __name__ == "__main__":
+    main()