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change in zenodo urls from record to records

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This commit is contained in:
Fabian Neumann 2024-04-15 15:14:02 +02:00
parent fe1199e981
commit a1e42db58b
6 changed files with 12 additions and 12 deletions
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2
doc/configtables/load.csv
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@ -4,4 +4,4 @@ time_shift_for_large_gaps,string,string,"Periods which are used for copying time
manual_adjustments,bool,"{true, false}","Whether to adjust the load data manually according to the function in :func:`manual_adjustment`."
scaling_factor,--,float,"Global correction factor for the load time series."
fixed_year,--,Year or False,"To specify a fixed year for the load time series that deviates from the snapshots' year"
supplement_synthetic,bool,"{true, false}","Whether to supplement missing data for selected time period should be supplemented by synthetic data from https://zenodo.org/record/10820928."
supplement_synthetic,bool,"{true, false}","Whether to supplement missing data for selected time period should be supplemented by synthetic data from https://zenodo.org/records/10820928."

1 Unit Values Description
4 manual_adjustments bool {true, false} Whether to adjust the load data manually according to the function in :func:`manual_adjustment`.
5 scaling_factor -- float Global correction factor for the load time series.
6 fixed_year -- Year or False To specify a fixed year for the load time series that deviates from the snapshots' year
7 supplement_synthetic bool {true, false} Whether to supplement missing data for selected time period should be supplemented by synthetic data from https://zenodo.org/record/10820928. Whether to supplement missing data for selected time period should be supplemented by synthetic data from https://zenodo.org/records/10820928.

8
doc/release_notes.rst
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@ -1529,7 +1529,7 @@ This release is known to work with `PyPSA-Eur
**Gas Transmission Network**
* New rule ``retrieve_gas_infrastructure_data`` that downloads and extracts the
SciGRID_gas `IGGIELGN <https://zenodo.org/record/4767098>`__ dataset from
SciGRID_gas `IGGIELGN <https://zenodo.org/records/4767098>`__ dataset from
zenodo. It includes data on the transmission routes, pipe diameters,
capacities, pressure, and whether the pipeline is bidirectional and carries
H-Gas or L-Gas.
@ -1689,7 +1689,7 @@ This release is known to work with `PyPSA-Eur
PyPSA network.
* Updated `data bundle
<https://zenodo.org/record/5824485/files/pypsa-eur-sec-data-bundle.tar.gz>`__
<https://zenodo.org/records/5824485/files/pypsa-eur-sec-data-bundle.tar.gz>`__
that includes the hydrogan salt cavern storage potentials.
* Updated and extended documentation in
@ -2049,7 +2049,7 @@ PyPSA-Eur-Sec codebase in Version 0.2.0 above.
This model has `its own github repository
<https://github.com/martavp/pypsa-eur-sec-30-path>`__ and is `archived
on Zenodo <https://zenodo.org/record/4014807>`__.
on Zenodo <https://zenodo.org/records/4014807>`__.
@ -2065,7 +2065,7 @@ European countries with one node per country. It includes demand and
supply for electricity, space and water heating in buildings, and land
transport.
It is `archived on Zenodo <https://zenodo.org/record/1146666>`__.
It is `archived on Zenodo <https://zenodo.org/records/1146666>`__.
Release Process

2
doc/supply_demand.rst
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@ -386,7 +386,7 @@ carbon capture (bottom bar) assumed in `Neumann et al <https://arxiv.org/abs/220
.. image:: ../graphics/process-emissions.png
Inside each country the industrial demand is then distributed using the `Hotmaps Industrial Database <https://zenodo.org/record/4687147#.YvOaxhxBy5c>`__, which is illustrated in the figure below. This open database includes georeferenced industrial sites of energy-intensive industry sectors in EU28, including cement, basic chemicals, glass, iron and steel, non-ferrous metals, non-metallic minerals, paper, and refineries subsectors. The use of this spatial dataset enables the calculation of regional and process-specific energy demands. This approach assumes that there will be no significant migration of energy-intensive industries.
Inside each country the industrial demand is then distributed using the `Hotmaps Industrial Database <https://zenodo.org/records/4687147#.YvOaxhxBy5c>`__, which is illustrated in the figure below. This open database includes georeferenced industrial sites of energy-intensive industry sectors in EU28, including cement, basic chemicals, glass, iron and steel, non-ferrous metals, non-metallic minerals, paper, and refineries subsectors. The use of this spatial dataset enables the calculation of regional and process-specific energy demands. This approach assumes that there will be no significant migration of energy-intensive industries.
.. image:: ../graphics/hotmaps.png

4
rules/retrieve.smk
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@ -78,7 +78,7 @@ if config["enable"]["retrieve"] and config["enable"].get("retrieve_cutout", True
rule retrieve_cutout:
input:
storage(
"https://zenodo.org/record/6382570/files/{cutout}.nc",
"https://zenodo.org/records/6382570/files/{cutout}.nc",
),
output:
protected("cutouts/" + CDIR + "{cutout}.nc"),
@ -194,7 +194,7 @@ if config["enable"]["retrieve"]:
rule download_copernicus_land_cover:
input:
storage(
"https://zenodo.org/record/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
"https://zenodo.org/records/3939050/files/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",
),
output:
"data/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif",

4
scripts/_helpers.py
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@ -707,7 +707,7 @@ def update_config_from_wildcards(config, w, inplace=True):
def get_checksum_from_zenodo(file_url):
parts = file_url.split("/")
record_id = parts[parts.index("record") + 1]
record_id = parts[parts.index("records") + 1]
filename = parts[-1]
response = requests.get(f"https://zenodo.org/api/records/{record_id}", timeout=30)
@ -746,7 +746,7 @@ def validate_checksum(file_path, zenodo_url=None, checksum=None):
>>> validate_checksum("/path/to/file", checksum="md5:abc123...")
>>> validate_checksum(
... "/path/to/file",
... zenodo_url="https://zenodo.org/record/12345/files/example.txt",
... zenodo_url="https://zenodo.org/records/12345/files/example.txt",
... )
If the checksum is invalid, an AssertionError will be raised.

4
scripts/retrieve_gas_infrastructure_data.py
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@ -4,7 +4,7 @@
# SPDX-License-Identifier: MIT
"""
Retrieve gas infrastructure data from
https://zenodo.org/record/4767098/files/IGGIELGN.zip.
https://zenodo.org/records/4767098/files/IGGIELGN.zip.
"""
import logging
@ -32,7 +32,7 @@ if __name__ == "__main__":
configure_logging(snakemake)
set_scenario_config(snakemake)
url = "https://zenodo.org/record/4767098/files/IGGIELGN.zip"
url = "https://zenodo.org/records/4767098/files/IGGIELGN.zip"
# Save locations
zip_fn = Path(f"{rootpath}/IGGIELGN.zip")