cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gbg7gd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (212410671, Acipenseridae, 209404960, Acipenseridae, 196643155, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, 211759543, 212386399, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, 212101108, 158156857, 205000798, Acipenseridae, 212282852, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, 209432348, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, 209454671, 212269195, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, 208592799, Acipenseridae, Acipenseridae, 185466525, Acipenseridae, Acipenseridae, Acipenseridae, 208973532, 210651786, Acipenseridae, Acipenseridae, 209346420, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, 116776239, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, 197285964, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, ACIPENSERIDAE, Acipenseridae, 212263799, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae, Acipenseridae Bonaparte, 1831, 161470550, Acipenseridae Bonaparte, 1831, Acipenseridae Bonaparte, 1831, Acipenseridae Bonaparte, 1831, Acipenseridae Bonaparte, 1831, Acipenseridae Bonaparte, 1831, Acipenseridae Bonaparte, 1831, Acipenseridae Bonaparte, 1831, Accipenseridae, Accipenseridae, Peipiaosteidae Liu & Zhou, 1965, Polyodontidae Bonaparte, 1838)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053754-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpxxcy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyodontidae, 197283324, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, 212263802, Polyodontidae, Polyodontidae, 212101104, Polyodontidae, 211759540, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, POLYODONTIDAE, Polyodontidae, 212282589, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, 168951662, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae, Polyodontidae Bonaparte, 1835, Polyodontidae Bonaparte, 1835, Polyodontidae Bonaparte, 1838, 167369000, Polyodontidae Buchanan, 1894, 211905495, Polyodontidae Augener, 1918, Polyodontidae Augener, 1918, Polyodontidae Augener, 1918, Polyodontidae Augener, 1918, Polyodontidae Buchanan, 1894, Polyodontidae Buchanan, 1894, Polyodontidae Bonaparte, 1838, Polyodontidae Bonaparte, 1838, Polyodontidae Bonaparte, 1838, Polyodontidae Bonaparte, 1835, Polyodontidae Buchanan, 1894, Polyodontidae Buchanan, 1894, Peipiaosteidae Liu & Zhou, 1965, Acipenseridae Bonaparte, 1831, Acipenseridae Bonaparte, 1831)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053755-241126133413365/datasets/export for details.
DOI: 10.15468/dl.y3wqv9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (209667251, Rhynchobatidae, Rhynchobatidae, Rhynchobatidae, Rhynchobatidae, 210216952, Rhynchobatidae, 158203874, 197295431, Rhynchobatidae, Rhynchobatidae, Rhynchobatidae, Rhynchobatidae, Rhynchobatidae, Rhynchobatidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053756-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.28121714
title: SAARC_Nations_Death_Data

description: This paper explores mortality trends in the South Asian Association for Regional Cooperation (SAARC) countries: Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka, from 1990 to 2019.
DOI: 10.15468/dl.tfng9q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (209341054, 187338316, 212102522, Rhinobatidae, 157073481, Rhinobatidae, 209484640, 204326117, Rhinobatidae, Rhinobatidae, Rhinobatidae, 212276221, Rhinobatidae, Rhinobatidae, 210657389, Rhinobatidae, 205393723, 205904649, 209667258, 205208377, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, 205396039, 209459532, 209565792, Rhinobatidae, Rhinobatidae, Rhinobatidae, 202869809, 167497438, Rhinobatidae, Rhinobatidae, Rhinobatidae, 212109395, 210216943, Rhinobatidae, 211756639, 209454522, 208973551, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, 203894991, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, 203899972, Rhinobatidae, Rhinobatidae, Rhinobatidae, 201446929, 197286563, 205947753, Rhinobatidae, Rhinobatidae, 212102548, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, 209345937, 212261382, 205994577, 205463566, 205418145, 175902088, 205968624, Rhinobatidae, Rhinobatidae, Rhinobatidae, 158203741, Rhinobatidae, 205000343, 205891562, 212109441, Rhinobatidae, 204774748, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, RHINOBATIDAE, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, 210655712, 205891538, 204357259, 212282656, Rhinobatidae, 205994531, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, 205940568, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae, Rhinobatidae Bonaparte, 1835, Rhinobatidae Bonaparte, 1835, 161388093, Rhinobatidae Bonaparte, 1835, Rhinobatidae Bonaparte, 1835, Rhinobatidae Bonaparte 1835, Rhinobatidae Bonaparte, 1835, Rhinobatidae Bonaparte, 1835, Rhinobatidae Bonaparte 1835, 167368781, Rhinobatidae Müller & Henle, 1837, Rhinobatidae Müller & Henle, 1837, Rhinobatidae Muller & Henle 1837, Rhinobatidae Müller & Henle, 1837, Rhinobatidae J.P.Müller & Henle, 1837, Rhinobatidae Müller & Henle, 1838, Rhinobatidae Muller & Henle 1841, Toarcibatidae, Toarcibatidae Greenfield, Delsate, and Candoni 2022, Platyrhinidae Jordan, 1923, Trygonorrhinidae Last, Séret & Naylor, 2016, Monocotylidae Taschenberg, 1879, Trygonorrhinidae Last, Séret & Naylor, 2016, Torpedinidae, Gastromyzontidae Fowler, 1905, Rhynchobatidae, Rhinidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053757-241126133413365/datasets/export for details.
DOI: 10.15468/dl.2cyvrd
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Falco cherrug J.E.Gray, 1834"
 ]
}

 The dataset includes 75 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053759-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k87vsr
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cymbaria daurica L."
 ]
}

 The dataset includes 383 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053760-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbe6hm
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rajidae, Rajidae, 205891537, 205000407, 209341059, 206005441, 206031053, Rajidae, Rajidae, Rajidae, Rajidae, 205968227, 209565797, 205994582, 158205356, Rajidae, 205947107, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, 212282874, 172709595, 205894850, 206030116, Rajidae, Rajidae, Rajidae, 205392904, Rajidae, Rajidae, Rajidae, Rajidae, 205994479, 209345939, 212102531, 204384769, Rajidae, Rajidae, Rajidae, 212276014, 212261346, 212386003, 210657398, Rajidae, 206033665, 205530342, Rajidae, 204727854, 208592673, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, 209432118, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, 204071771, 210655840, 157073478, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, RAJIDAE, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, 210216946, 212359903, 197283262, Rajidae, Rajidae, 209583800, Rajidae, Rajidae, 209663506, 205994535, 212109397, 204737358, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, 206089542, Rajidae, 212261406, Rajidae, 209667246, 204976644, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, 209454517, 211756719, Rajidae, Rajidae, 205922234, 204357262, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae, Rajidae Blainville, 1816, Rajidae Blainville, 1816, Rajidae Blainville 1816, Rajidae Blainville, 1816, Rajidae Blainville, 1816, Rajidae Blainville, 1816, Rajidae Bonaparte, 1831, Rajidae Blainville, 1816, Rajidae Blainville, 1816, Rajidae de Blainville, 1816, Rajidae de Blainville, 1816, Rajidae sec. Eschmeyer 1998, 161388258, Pseudorajidae Bigelow & Schroeder, 1954 [=Rajidae], Raiidae, 205944807, Raiidae, Raiidae Blainville, 1816, Arhynchobatidae Fowler, 1934, Anacanthobatidae von Bonde & Swart, 1924, Gurgesiellidae De Buen, 1959, Torpedinidae, Rhinobatidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053761-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krxugc
title: Occurrence Download

description: A dataset containing 4388664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2025"
 ]
}

 The dataset includes 4388664 records from 1636 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053753-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1192899.10fu
title: SH1192899.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1192903.10fu
title: SH1192903.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1192904.10fu
title: SH1192904.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1192908.10fu
title: SH1192908.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1192909.10fu
title: SH1192909.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1192912.10fu
title: SH1192912.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1192917.10fu
title: SH1192917.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1192918.10fu
title: SH1192918.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.11099738
title: Examples of applying a multivariate Wilson prior to comparative crystallography data

description: This folder contains four examples of merging crystallographic intensities with a bivariate prior:



time-resolved Laue crystallography of the photoactive yellow protein (pyp.zip)

anomalous diffraction from serial XFEL crystallography of thermolysin (thermolysin_xfel.zip)

anomalous diffraction from Laue crystallography of NaI-soaked lysozyme (lysozyme.zip)

fragment screening monochromatic data of Nsp3 Mac1 (dfs.zip)


Additionally, we provide several auxilliary examples:



For PYP, an example where we set aside a test fraction to semi-independently optimize the double-Wilson r (pyp_test_fraction.zip)

for lysozyme, two examples, one where we use Laue-DIALS instead of precognition (lysozyme-laue-dials.zip), and another where we set aside the first 90 images to semi-independently optimize the double-Wilson r (lysozyme_test_fraction.zip)

For thermolysin, an example where we use a bivariate versus a univariate prior as the number of scaled images grows (thermolysin_xfel_frames_sweep.zip), and another where we set aside the first 395 images to semi-independently optimize the double-Wilson r (thermolysin_xfel_test_fraction.zip)


Finally, we provide zip files containing Careless repositories (careless_041.zip, careless_053.zip) and the dw repository containing Jupyter notebooks outlining the theory of the double-Wilson model (dw.zip).

Every example includes scripts to run Careless as well as to analyze the outputs in order to reproduce the figures in the double-Wilson manuscript. For every example, there is a `README.md` that describes the contents of each example folder.