cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13951144
title: SERENA EJP Soil - Map of Soil Sealing of Italy

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.
description: The map of soil sealing of Italy was based on semi-automatic classification process of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images. The final map is the product of a binary classification (sealed/not-sealed) having 10 m spatial resolution. The selected indicator was degree of soil sealing.
description: Disclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

- It is the result of a modelling exercise and does not necessarily reflect reality.

- Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made. 

- It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

- These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 

Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.13951145
title: SERENA EJP Soil - Map of Soil Sealing of Italy

description: The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.
description: The map of soil sealing of Italy was based on semi-automatic classification process of multitemporal satellite images and photointerpretation. The methodology uses vegetation and backscatter indices calculated over time series of images, and decision rules. The semi-automatic classification supports the subsequent photointerpretation phase based on national orthophotos and other free VHR satellite images. The final map is the product of a binary classification (sealed/not-sealed) having 10 m spatial resolution. The selected indicator was degree of soil sealing.
description: Disclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:

- It is the result of a modelling exercise and does not necessarily reflect reality.

- Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made. 

- It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.

- These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data. 

Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.7910/dvn/wkghgy
title: A15_29279.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/7eb7fa62-7d58-4e18-bc0a-ad07c356b998'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/7eb7fa62-7d58-4e18-bc0a-ad07c356b998
DOI: 10.7910/dvn/8x7e0c
title: A15_29280.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/2c91b390-1422-4d2e-b1e3-7f0fff7b047f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/2c91b390-1422-4d2e-b1e3-7f0fff7b047f
DOI: 10.7910/dvn/hpszvd
title: A15_29283.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/9c37342f-9e40-4830-84db-9fde50325a71'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/9c37342f-9e40-4830-84db-9fde50325a71
DOI: 10.5281/zenodo.13982778
title: Braunschweig Zum Wilden Mann Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5285/90aed6b4-4932-4a26-a07a-d78929dee65a
title: Pesticide concentrations in the River Tone, Somerset, and the River Wensum, Norfolk

description: Measured concentrations of 52 different modern pesticides in both waters and sediments. Collected during routine sampling as part of the PhD project "Assessing the Impacts of Organic and Inorganic Contaminants on British Rivers: from Sediments to Fish". Samples were collected in 2021 and 2022, and pesticides were measured using UPLC-MS/MS at the British Geological Survey. Site coordinates are included in a separate tab. 
Full detail on sample collection, analytical methodology and data summaries, including interpretations, can be found in the accompanying thesis.
DOI: 10.15468/dl.aux2yc
title: Occurrence Download

description: A dataset containing 3511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Chirothrips manicatus (Haliday, 1836)"
 ]
}

 The dataset includes 3511 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032268-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7t79k
title: Occurrence Download

description: A dataset containing 13267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zygaena exulans (Hohenwarth, 1792)"
 ]
}

 The dataset includes 13267 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032263-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/czjvaq
title: A15_29285.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a4d22265-3ee0-47be-add4-4252715622f0'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a4d22265-3ee0-47be-add4-4252715622f0
DOI: 10.7910/dvn/taiplp
title: A15_29288.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/f5dc552e-be50-43b9-bb02-eead88e4904e'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/f5dc552e-be50-43b9-bb02-eead88e4904e
DOI: 10.7910/dvn/zxzryc
title: A15_29290.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/1fd9f182-d4ed-4b97-9c00-e2e2b812170c'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/1fd9f182-d4ed-4b97-9c00-e2e2b812170c
DOI: 10.7910/dvn/oottt3
title: A15_29291.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/df30d6cb-b2cf-48ff-91a3-b1167d3b3c42'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/df30d6cb-b2cf-48ff-91a3-b1167d3b3c42
DOI: 10.7910/dvn/lcvnzd
title: A15_29293.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/52063fc3-d47b-4da0-be88-43050fde0d98'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/52063fc3-d47b-4da0-be88-43050fde0d98
DOI: 10.7910/dvn/tur7ae
title: A15_29294.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/3751d3b4-90e8-4725-8c10-6dd961b0fa72'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/3751d3b4-90e8-4725-8c10-6dd961b0fa72
DOI: 10.7910/dvn/ioelzk
title: A15_29295.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/f66c6002-3141-4cb4-9166-e880585e6be0'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/f66c6002-3141-4cb4-9166-e880585e6be0
DOI: 10.7910/dvn/8krh6x
title: A15_29296.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/47bef906-af7c-41b4-a21b-9c7dd5555383'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/47bef906-af7c-41b4-a21b-9c7dd5555383
DOI: 10.15468/dl.79e8ch
title: Occurrence Download

description: A dataset containing 1219 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dutch Butterfly Monitoring Indexes"
 ]
}

 The dataset includes 1219 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032271-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12582649
title: Improving machine-learning models in materials science through large datasets

description: 1. Image of the Alexandria database  state corresponding to the paper "Improving machine-learning models in materials science through large datasets".



Static pbe calculations for 1D, 2D, 3D compounds can be found in 1D_pbe.tar.gz, 2D_pbe.tar.gz, 3D_pbe.tar.gz in batches of 100k materials. The latter also contains a separate convex hull pickle with all compounds on the pbe convex hull (convex_hull_pbe_2023.12.29.json.bz2) and a list of prototypes in the database (prototypes.json.bz2). The systematic 3D calculations performed for the article Improving machine-learning models in materials science through large datasets (in the paper referred to as round 2 and 3) can be found by the location keyword in the data dictionary of each ComputedStructureEntry containing  "cgat_comp/quaternaries" (round 2) and "cgat_comp2/"  (round 3).  Round 1 (10.1002/adma.202210788) can be found under "cgat_comp/ternaries", ""cgat_comp/binaries".

Static pbesol calculations for 3D compounds can be found in 3D_ps.tar (still zip compressed) in batches of 100k materials. The folder also contains a separate convex hull pickle with all compounds on the pbesol convex hull (convex_hull_ps_2023.12.29.json.bz2). 

Static scan calculations for 3D compounds can be found in 3D_scan.tar (still zip compressed) in batches of 100k materials. The folder also contains a separate convex hull pickle with all compounds on the scan convex hull (convex_hull_scan_2023.12.29.json.bz2). 

Geometry relaxation curves for 1D and 2D and 3D compounds calculated with PBE can be found in geo_opt_1D.tar.gz, geo_opt_2D.tar.gz. and geo_opt_3D.tar. Each file in each folder contains a batch of up to 10k relaxation trajectories.

PBESOL relaxation trajectories for 3D compounds can be found in geo_opt_ps.tar


2. Crystal graph attention networks to predict the volume (volume_round_3.tar.gz) and distance to the convex hull (e_above_hull_round_3.tar.gz) trained for the paper "Improving machine-learning models in materials science through large datasets".

Can be used with the code at https://github.com/hyllios/CGAT/tree/main/CGAT.Note will predict the distance to the convex hull not normalized per atom when using the code on the github.

3. Alignn models as well as m3gnet and mace models corresponding  to the publication can be found in alexandria_v2.tar.gz

4. scripts.tar.gz Some scripts used for generating CGAT input data/ performing parallel predictions and for relaxations with m3gnet/mace force fields
DOI: 10.5281/zenodo.12582650
title: Improving machine-learning models in materials science through large datasets

description: 1. Image of the Alexandria database  state corresponding to the paper "Improving machine-learning models in materials science through large datasets".



Static pbe calculations for 1D, 2D, 3D compounds can be found in 1D_pbe.tar.gz, 2D_pbe.tar.gz, 3D_pbe.tar.gz in batches of 100k materials. The latter also contains a separate convex hull pickle with all compounds on the pbe convex hull (convex_hull_pbe_2023.12.29.json.bz2) and a list of prototypes in the database (prototypes.json.bz2). The systematic 3D calculations performed for the article Improving machine-learning models in materials science through large datasets (in the paper referred to as round 2 and 3) can be found by the location keyword in the data dictionary of each ComputedStructureEntry containing  "cgat_comp/quaternaries" (round 2) and "cgat_comp2/"  (round 3).  Round 1 (10.1002/adma.202210788) can be found under "cgat_comp/ternaries", ""cgat_comp/binaries".

Static pbesol calculations for 3D compounds can be found in 3D_ps.tar (still zip compressed) in batches of 100k materials. The folder also contains a separate convex hull pickle with all compounds on the pbesol convex hull (convex_hull_ps_2023.12.29.json.bz2). 

Static scan calculations for 3D compounds can be found in 3D_scan.tar (still zip compressed) in batches of 100k materials. The folder also contains a separate convex hull pickle with all compounds on the scan convex hull (convex_hull_scan_2023.12.29.json.bz2). 

Geometry relaxation curves for 1D and 2D and 3D compounds calculated with PBE can be found in geo_opt_1D.tar.gz, geo_opt_2D.tar.gz. and geo_opt_3D.tar. Each file in each folder contains a batch of up to 10k relaxation trajectories.

PBESOL relaxation trajectories for 3D compounds can be found in geo_opt_ps.tar


2. Crystal graph attention networks to predict the volume (volume_round_3.tar.gz) and distance to the convex hull (e_above_hull_round_3.tar.gz) trained for the paper "Improving machine-learning models in materials science through large datasets".

Can be used with the code at https://github.com/hyllios/CGAT/tree/main/CGAT.Note will predict the distance to the convex hull not normalized per atom when using the code on the github.

3. Alignn models as well as m3gnet and mace models corresponding  to the publication can be found in alexandria_v2.tar.gz

4. scripts.tar.gz Some scripts used for generating CGAT input data/ performing parallel predictions and for relaxations with m3gnet/mace force fields
DOI: 10.7910/dvn/a4cmts
title: A15_29298.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/59afdb94-f722-4da8-b385-851b14cb9b1b'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/59afdb94-f722-4da8-b385-851b14cb9b1b
DOI: 10.7910/dvn/wfrcws
title: A15_29299.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/0aa31610-6126-4f24-ac63-1fd9c9f92403'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/0aa31610-6126-4f24-ac63-1fd9c9f92403
DOI: 10.15468/dl.2k9cbs
title: Occurrence Download

description: A dataset containing 9994 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus morio (Swederus, 1787)"
 ]
}

 The dataset includes 9994 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032270-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/we7ivm
title: A15_29300.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/7615695f-18c5-4bcb-8089-1ce0ec5197b8'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/7615695f-18c5-4bcb-8089-1ce0ec5197b8
DOI: 10.15468/dl.hsuzcy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus ×morehus Kellogg, Guinotellus melvillensis Serene, 1971)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032272-241007104925546/datasets/export for details.
DOI: 10.7910/dvn/agiqjn
title: A15_29301.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/52d283d3-f3dc-42ea-9d0a-6d1915f886c3'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/52d283d3-f3dc-42ea-9d0a-6d1915f886c3
DOI: 10.7910/dvn/pdyhze
title: A15_29304.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/77a014c9-758b-4315-89f7-7770861c131b'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/77a014c9-758b-4315-89f7-7770861c131b
DOI: 10.7910/dvn/rrd065
title: A15_29306.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/08f4b4d0-90f5-486c-8837-b57b8222e21c'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/08f4b4d0-90f5-486c-8837-b57b8222e21c
DOI: 10.7910/dvn/lqz1ao
title: A15_29308.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/9fa9fcc4-415c-4ddb-b83a-e191aaf9f456'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/9fa9fcc4-415c-4ddb-b83a-e191aaf9f456
DOI: 10.7910/dvn/sj0uyu
title: A15_29309.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/6444a71a-81f7-4d35-9ab8-fbe7bd8cb8ce'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/6444a71a-81f7-4d35-9ab8-fbe7bd8cb8ce
DOI: 10.3886/e205281
title: Data and Code for: "Measuring Science: Performance Metrics and the Allocation of Talent"

description: We study how performance metrics affect the allocation of talent by exploiting the introduction of the first citation database in science. For technical reasons, it only covered citations from certain journals and years, creating quasi-random variation: some citations became visible, while others remained invisible. We identify the effects of citation metrics by comparing the predictiveness of visible to invisible citations. Citation metrics increased assortative matching between scientists and departments by reducing information frictions over geographic and intellectual distance. Highly-cited scientists from lower-ranked departments (“hidden stars”) and from minorities benefited more. Citation metrics also affected promotions and NSF-grants, suggesting Matthew effects.<br><br>
description: Scientists in the United States in 1956 and 1969<br>.
DOI: 10.3886/e205281v1
title: Data and Code for: "Measuring Science: Performance Metrics and the Allocation of Talent"

description: We study how performance metrics affect the allocation of talent by exploiting the introduction of the first citation database in science. For technical reasons, it only covered citations from certain journals and years, creating quasi-random variation: some citations became visible, while others remained invisible. We identify the effects of citation metrics by comparing the predictiveness of visible to invisible citations. Citation metrics increased assortative matching between scientists and departments by reducing information frictions over geographic and intellectual distance. Highly-cited scientists from lower-ranked departments (“hidden stars”) and from minorities benefited more. Citation metrics also affected promotions and NSF-grants, suggesting Matthew effects.<br><br>
description: Scientists in the United States in 1956 and 1969<br>.
DOI: 10.7910/dvn/cscss9
title: A15_29311.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/246c18eb-56de-432f-af3f-c05064ddccad'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/246c18eb-56de-432f-af3f-c05064ddccad
DOI: 10.15468/dl.3dnxhy
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Myrcia strigosa A.R.Lourenço & E.Lucas)"
 ]
}

 The dataset includes 314 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032274-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/xmjo3t
title: A15_29312.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/20ed7736-9b98-433c-b5c5-b8f037ffca0a'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/20ed7736-9b98-433c-b5c5-b8f037ffca0a
DOI: 10.7910/dvn/5ai42f
title: A15_29313.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/e2452c9a-4e23-4a9b-b0f7-3952d50df73d'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/e2452c9a-4e23-4a9b-b0f7-3952d50df73d
DOI: 10.7910/dvn/xiitvh
title: A15_29314.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/59af718a-6d57-4b92-9c11-21bdd7a3e19a'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/59af718a-6d57-4b92-9c11-21bdd7a3e19a
DOI: 10.15468/dl.e2m7uh
title: Occurrence Download

description: A dataset containing 1702618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2021-2024"
 ]
}

 The dataset includes 1702618 records from 805 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032191-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buuz84
title: Occurrence Download

description: A dataset containing 1358 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kearnemalvastrum D.M.Bates"
 ]
}

 The dataset includes 1358 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216343-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2wmbt
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiloschista lunifera (Rchb.f.) J.J.Sm."
 ]
}

 The dataset includes 46 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135859-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.