Datasets:

emruiz81
/

afternight-spcc-responses

Tags:

License:

Dataset card Data Studio Files Files and versions

xet

Community

Dataset Preview

Duplicate

Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
components: list<item: struct<attribution_text: string, channel: string, component_id: string, data_sha256: stri (... 687 chars omitted)
  child 0, item: struct<attribution_text: string, channel: string, component_id: string, data_sha256: string, derivat (... 675 chars omitted)
      child 0, attribution_text: string
      child 1, channel: string
      child 2, component_id: string
      child 3, data_sha256: string
      child 4, derivative_permission: string
      child 5, file: string
      child 6, file_sha256: string
      child 7, license_name: string
      child 8, license_url: string
      child 9, redistribution_permission: string
      child 10, review_status: string
      child 11, reviewed_at_utc: timestamp[s]
      child 12, reviewer: string
      child 13, role: string
      child 14, source_acquired_at_utc: timestamp[s]
      child 15, source_citation: string
      child 16, source_upstream_data_quality_marker: int64
      child 17, source_upstream_data_source: string
      child 18, source_upstream_manufacturer: string
      child 19, source_upstream_model: string
      child 20, source_upstream_name: string
      child 21, source_upstream_path: string
      child 22, source_upstream_type: string
      child 23, source_upstream_version: string
      child 24, source_url: string
      child 25, transformation_notes: string
      child 26, value_semantics: string
      child 27, version: string
      child 28, wavelength_unit: string
deployment_scopes: list<ite
...
      child 18, source_upstream_model: string
      child 19, source_upstream_name: string
      child 20, source_upstream_path: string
      child 21, source_upstream_type: string
      child 22, source_upstream_version: string
      child 23, source_url: string
      child 24, transformation_notes: string
      child 25, value_semantics: string
      child 26, version: string
      child 27, wavelength_unit: string
      child 28, white_reference_id: string
      child 29, white_reference_normalization_wavelength_nm: double
license_url: string
source_upstream_path: string
samples: list<item: struct<value: double, wavelength_nm: double>>
  child 0, item: struct<value: double, wavelength_nm: double>
      child 0, value: double
      child 1, wavelength_nm: double
source_upstream_version: string
reviewed_at_utc: timestamp[s]
source_upstream_type: string
source_upstream_data_quality_marker: int64
wavelength_unit: string
reviewer: string
source_upstream_name: string
channel: string
data_sha256: string
role: string
source_url: string
interpolation: string
out_of_range: string
component_id: string
redistribution_permission: string
asset_kind: string
source_upstream_model: string
license_name: string
source_citation: string
value_semantics: string
attribution_text: string
review_status: string
source_acquired_at_utc: timestamp[s]
transformation_notes: string
derivative_permission: string
source_upstream_manufacturer: string
normalization: string
source_upstream_data_source: string
to
{'asset_kind': Value('string'), 'attribution_text': Value('string'), 'channel': Value('string'), 'component_id': Value('string'), 'data_sha256': Value('string'), 'derivative_permission': Value('string'), 'interpolation': Value('string'), 'license_name': Value('string'), 'license_url': Value('string'), 'normalization': Value('string'), 'out_of_range': Value('string'), 'redistribution_permission': Value('string'), 'review_status': Value('string'), 'reviewed_at_utc': Value('timestamp[s]'), 'reviewer': Value('string'), 'role': Value('string'), 'samples': List({'value': Value('float64'), 'wavelength_nm': Value('float64')}), 'schema_version': Value('string'), 'source_acquired_at_utc': Value('timestamp[s]'), 'source_citation': Value('string'), 'source_upstream_data_quality_marker': Value('int64'), 'source_upstream_data_source': Value('string'), 'source_upstream_manufacturer': Value('string'), 'source_upstream_model': Value('string'), 'source_upstream_name': Value('string'), 'source_upstream_path': Value('string'), 'source_upstream_type': Value('string'), 'source_upstream_version': Value('string'), 'source_url': Value('string'), 'transformation_notes': Value('string'), 'value_semantics': Value('string'), 'version': Value('string'), 'wavelength_unit': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              components: list<item: struct<attribution_text: string, channel: string, component_id: string, data_sha256: stri (... 687 chars omitted)
                child 0, item: struct<attribution_text: string, channel: string, component_id: string, data_sha256: string, derivat (... 675 chars omitted)
                    child 0, attribution_text: string
                    child 1, channel: string
                    child 2, component_id: string
                    child 3, data_sha256: string
                    child 4, derivative_permission: string
                    child 5, file: string
                    child 6, file_sha256: string
                    child 7, license_name: string
                    child 8, license_url: string
                    child 9, redistribution_permission: string
                    child 10, review_status: string
                    child 11, reviewed_at_utc: timestamp[s]
                    child 12, reviewer: string
                    child 13, role: string
                    child 14, source_acquired_at_utc: timestamp[s]
                    child 15, source_citation: string
                    child 16, source_upstream_data_quality_marker: int64
                    child 17, source_upstream_data_source: string
                    child 18, source_upstream_manufacturer: string
                    child 19, source_upstream_model: string
                    child 20, source_upstream_name: string
                    child 21, source_upstream_path: string
                    child 22, source_upstream_type: string
                    child 23, source_upstream_version: string
                    child 24, source_url: string
                    child 25, transformation_notes: string
                    child 26, value_semantics: string
                    child 27, version: string
                    child 28, wavelength_unit: string
              deployment_scopes: list<ite
              ...
                    child 18, source_upstream_model: string
                    child 19, source_upstream_name: string
                    child 20, source_upstream_path: string
                    child 21, source_upstream_type: string
                    child 22, source_upstream_version: string
                    child 23, source_url: string
                    child 24, transformation_notes: string
                    child 25, value_semantics: string
                    child 26, version: string
                    child 27, wavelength_unit: string
                    child 28, white_reference_id: string
                    child 29, white_reference_normalization_wavelength_nm: double
              license_url: string
              source_upstream_path: string
              samples: list<item: struct<value: double, wavelength_nm: double>>
                child 0, item: struct<value: double, wavelength_nm: double>
                    child 0, value: double
                    child 1, wavelength_nm: double
              source_upstream_version: string
              reviewed_at_utc: timestamp[s]
              source_upstream_type: string
              source_upstream_data_quality_marker: int64
              wavelength_unit: string
              reviewer: string
              source_upstream_name: string
              channel: string
              data_sha256: string
              role: string
              source_url: string
              interpolation: string
              out_of_range: string
              component_id: string
              redistribution_permission: string
              asset_kind: string
              source_upstream_model: string
              license_name: string
              source_citation: string
              value_semantics: string
              attribution_text: string
              review_status: string
              source_acquired_at_utc: timestamp[s]
              transformation_notes: string
              derivative_permission: string
              source_upstream_manufacturer: string
              normalization: string
              source_upstream_data_source: string
              to
              {'asset_kind': Value('string'), 'attribution_text': Value('string'), 'channel': Value('string'), 'component_id': Value('string'), 'data_sha256': Value('string'), 'derivative_permission': Value('string'), 'interpolation': Value('string'), 'license_name': Value('string'), 'license_url': Value('string'), 'normalization': Value('string'), 'out_of_range': Value('string'), 'redistribution_permission': Value('string'), 'review_status': Value('string'), 'reviewed_at_utc': Value('timestamp[s]'), 'reviewer': Value('string'), 'role': Value('string'), 'samples': List({'value': Value('float64'), 'wavelength_nm': Value('float64')}), 'schema_version': Value('string'), 'source_acquired_at_utc': Value('timestamp[s]'), 'source_citation': Value('string'), 'source_upstream_data_quality_marker': Value('int64'), 'source_upstream_data_source': Value('string'), 'source_upstream_manufacturer': Value('string'), 'source_upstream_model': Value('string'), 'source_upstream_name': Value('string'), 'source_upstream_path': Value('string'), 'source_upstream_type': Value('string'), 'source_upstream_version': Value('string'), 'source_url': Value('string'), 'transformation_notes': Value('string'), 'value_semantics': Value('string'), 'version': Value('string'), 'wavelength_unit': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

asset_kind string	attribution_text string	channel string	component_id string	data_sha256 string	derivative_permission string	interpolation string	license_name string	license_url string	normalization string	out_of_range string	redistribution_permission string	review_status string	reviewed_at_utc timestamp[s]	reviewer string	role string	samples list	schema_version string	source_acquired_at_utc timestamp[s]	source_citation string	source_upstream_data_quality_marker int64	source_upstream_data_source string	source_upstream_manufacturer string	source_upstream_model string	source_upstream_name string	source_upstream_path string	source_upstream_type string	source_upstream_version string	source_url string	transformation_notes string	value_semantics string	version string	wavelength_unit string
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	blue	afternight.spcc.mono_filter.antlia_lrgb_v_pro_astronomy_filters.blue	b873ab1bf3844f140527fcf1e4836aa267d22aa23a88ae85bcd199065ff97844	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-blue-transmission	[ { "value": 0.000160246986181, "wavelength_nm": 412.12 }, { "value": 0.000160246986181, "wavelength_nm": 416.76 }, { "value": 0.0045961595006, "wavelength_nm": 421.63 }, { "value": 0.0252773694012, "wavelength_nm": 424.28 }, { "value": 0.0585960011761, "wavelen...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Antlia_LRGB-V_Pro.json.	2	Scanned from Transmission Chart	Antlia Pro Series	Antlia LRGB-V Pro Astronomy Filters	Antlia B	mono_filters/Antlia_LRGB-V_Pro.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Antlia_LRGB-V_Pro.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	green	afternight.spcc.mono_filter.antlia_lrgb_v_pro_astronomy_filters.green	ae4d805c8b84bbbc4b8682db731ddcc1f7c85bd1f42e11e4a68340c729786ff6	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-green-transmission	[ { "value": 0.00571335228201, "wavelength_nm": 480.74 }, { "value": 0.0131459701395, "wavelength_nm": 484.67 }, { "value": 0.0334422648801, "wavelength_nm": 487.21 }, { "value": 0.0525986474566, "wavelength_nm": 487.96 }, { "value": 0.0739738312261, "wavelength...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Antlia_LRGB-V_Pro.json.	2	Scanned from Transmission Chart	Antlia Pro Series	Antlia LRGB-V Pro Astronomy Filters	Antlia G	mono_filters/Antlia_LRGB-V_Pro.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Antlia_LRGB-V_Pro.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	luminance	afternight.spcc.mono_filter.antlia_lrgb_v_pro_astronomy_filters.luminance	026915045d03c9b32986a2f68ba38bea6bf1fa8f08c07d8b26179c9aa17842ac	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-luminance-transmission	[ { "value": 0.00400470449868, "wavelength_nm": 366.14 }, { "value": 0.00379500681618, "wavelength_nm": 370.78 }, { "value": 0.00400470449868, "wavelength_nm": 375.42 }, { "value": 0.00400470449868, "wavelength_nm": 380.06 }, { "value": 0.00400470449868, "wavele...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Antlia_LRGB-V_Pro.json.	2	Scanned from Transmission Chart	Antlia Pro Series	Antlia LRGB-V Pro Astronomy Filters	Antlia L	mono_filters/Antlia_LRGB-V_Pro.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Antlia_LRGB-V_Pro.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	red	afternight.spcc.mono_filter.antlia_lrgb_v_pro_astronomy_filters.red	cb10fd90e33658c1990c41d95c12dc4a36719854a2f8af52a6144ade23f717fa	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-red-transmission	[ { "value": 0.00323581299618, "wavelength_nm": 584.64 }, { "value": 0.00323581299618, "wavelength_nm": 589.28 }, { "value": 0.00386490604368, "wavelength_nm": 593.92 }, { "value": 0.00400470449868, "wavelength_nm": 598.56 }, { "value": 0.00421440218118, "wavele...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Antlia_LRGB-V_Pro.json.	2	Scanned from Transmission Chart	Antlia Pro Series	Antlia LRGB-V Pro Astronomy Filters	Antlia R	mono_filters/Antlia_LRGB-V_Pro.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Antlia_LRGB-V_Pro.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	blue	afternight.spcc.mono_filter.astrodon_gen_2_rgb.blue	fb3edea52bf1e63980f22c0bd92839802ad4811781889200b1781a13bc2703aa	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-blue-transmission	[ { "value": 9.07586244614e-9, "wavelength_nm": 350 }, { "value": 1.47248746345e-8, "wavelength_nm": 351 }, { "value": 2.44433896886e-8, "wavelength_nm": 352 }, { "value": 4.14397910765e-9, "wavelength_nm": 353 }, { "value": 1.63918846886e-8, "wavelength_nm": 35...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Astrodon_Gen2_RGB.json.	4	High resolution OEM tabulated data from website	Astrodon	Astrodon Gen 2 RGB	Astrodon Blue (E / I series)	mono_filters/Astrodon_Gen2_RGB.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Astrodon_Gen2_RGB.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	green	afternight.spcc.mono_filter.astrodon_gen_2_rgb.green	084ab76d9fab92f9b46519f100287ba619ef8e1d220c44da373000b2cb437468	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-green-transmission	[ { "value": 3.99292070925e-8, "wavelength_nm": 350 }, { "value": 1.7537872738e-7, "wavelength_nm": 351 }, { "value": 5.117635976e-7, "wavelength_nm": 352 }, { "value": 7.2602487691e-7, "wavelength_nm": 353 }, { "value": 9.00988609877e-7, "wavelength_nm": 354 ...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Astrodon_Gen2_RGB.json.	4	High resolution OEM tabulated data from website	Astrodon	Astrodon Gen 2 RGB	Astrodon Green (E series)	mono_filters/Astrodon_Gen2_RGB.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Astrodon_Gen2_RGB.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	green	afternight.spcc.mono_filter.astrodon_gen_2_rgb.green.2	942eb01b12028183c9427ba86c022a75d268b24f7d42b0738deb1b29b8c08c8e	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-green-transmission	[ { "value": 7.88334e-7, "wavelength_nm": 290 }, { "value": 0, "wavelength_nm": 290.5 }, { "value": 0, "wavelength_nm": 291 }, { "value": 0, "wavelength_nm": 291.5 }, { "value": 0, "wavelength_nm": 292 }, { "value": 4.911e-9, "wavelength_nm": 292.5 ...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Astrodon_Gen2_RGB.json.	4	High resolution OEM tabulated data from website	Astrodon	Astrodon Gen 2 RGB	Astrodon Green (I series)	mono_filters/Astrodon_Gen2_RGB.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Astrodon_Gen2_RGB.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	red	afternight.spcc.mono_filter.astrodon_gen_2_rgb.red	2a532cf9309ba8bfee9c865218113a709a37231bf856df0d3109956a681b5d9e	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-red-transmission	[ { "value": 4.65000398747e-9, "wavelength_nm": 350 }, { "value": 1.33165322466e-8, "wavelength_nm": 351 }, { "value": 2.9426934331e-7, "wavelength_nm": 352 }, { "value": 0.00000187384356507, "wavelength_nm": 353 }, { "value": 0.0000168006331672, "wavelength_nm"...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Astrodon_Gen2_RGB.json.	4	High resolution OEM tabulated data from website	Astrodon	Astrodon Gen 2 RGB	Astrodon Red (E series)	mono_filters/Astrodon_Gen2_RGB.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Astrodon_Gen2_RGB.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	red	afternight.spcc.mono_filter.astrodon_gen_2_rgb.red.2	c7dbe87fc14ec8d07b759e6fc85a49ad6bfe3f2b28ca61c05b699e94993333cb	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-red-transmission	[ { "value": 1.0109e-8, "wavelength_nm": 290 }, { "value": 5.9182e-8, "wavelength_nm": 290.5 }, { "value": 8.8935e-8, "wavelength_nm": 291 }, { "value": 1.62164e-7, "wavelength_nm": 291.5 }, { "value": 0, "wavelength_nm": 292 }, { "value": 1.11653e-7, ...	spcc-response-asset-v1	2026-05-12T00:00:00	Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c150d129, mono_filters/Astrodon_Gen2_RGB.json.	4	High resolution OEM tabulated data from website	Astrodon	Astrodon Gen 2 RGB	Astrodon Red (I series)	mono_filters/Astrodon_Gen2_RGB.json	MONO_FILTER	1	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Astrodon_Gen2_RGB.json	Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units converted to nm; values divided by the upstream range field when present; negative digitization artifacts clipped to zero; samples sorted by wavelength and duplicate wavelengths collapsed by keeping the last value. Upstream ...	dimensionless-throughput	1	nm
component	Contains data adapted from the Siril SPCC Database contributors under GPLv3.	blue	afternight.spcc.mono_filter.astronomik_deep_sky_rgb.blue	dc683338eb692dce5ec91e188b4c43ec6f509ca9d37bb3cbe4465203fc0bd75b	Allowed under GPLv3 terms for normalized AfterNight response payloads.	akima	GPL-3.0-only	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/LICENSE.md	preserve-relative-shape	zero	Allowed under GPLv3 terms with preserved license and attribution.	approved-for-managed-download	2026-05-12T00:00:00	Codex-assisted GPLv3 provenance review	filter-blue-transmission	[{"value":0.0,"wavelength_nm":360.0},{"value":0.0,"wavelength_nm":361.0},{"value":0.0,"wavelength_nm(...TRUNCATED)	spcc-response-asset-v1	2026-05-12T00:00:00	"Siril SPCC Database contributors, free-astro/siril-spcc-database 65283d29962d72134378852a3a0be643c1(...TRUNCATED)	4	OEM tabulated data	Astronomik	Astronomik Deep Sky RGB	Astronomik Deep Sky RGB Blue	mono_filters/Astronomik_DeepSky_RGB.json	MONO_FILTER	2	https://gitlab.com/free-astro/siril-spcc-database/-/blob/65283d29962d72134378852a3a0be643c150d129/mono_filters/Astronomik_DeepSky_RGB.json	"Converted upstream SPCC JSON wavelength/value arrays to AfterNight CSV curves; wavelength units con(...TRUNCATED)	dimensionless-throughput	2	nm

End of preview.

AfterNight SPCC Response Repositories

This dataset contains reviewed AfterNight Spectrophotometric Color Calibration response repositories staged for direct HTTPS download.

Publication channel: preview

Direct download base: https://huggingface.co/datasets/emruiz81/afternight-spcc-responses/resolve/main

Response Repositories

Repository ID	Version	Status	Profiles	Size	Rights	Path
afternight-spcc-response-baseline	2026a	current	2,342	26.3 MiB	approved-for-managed-download	`responses/afternight-spcc-response-baseline/2026a`

Descriptor Config

The app-facing descriptor config is spcc_response_repositories.json. It uses immutable versioned updates: old descriptors remain addressable as superseded, and exactly one current descriptor is recommended for each repository and deployment-scope channel.

Upload

hf upload emruiz81/afternight-spcc-responses <this-directory> . --repo-type dataset --revision main

Verify

python tools/verify_spcc_response_repository_config.py https://huggingface.co/datasets/emruiz81/afternight-spcc-responses/resolve/main/spcc_response_repositories.json

Downloads last month: 52

Total file size:

27.6 MB