cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive165825.20251217.10
title: <i>Aggregatibacter</i> <i>actinomycetemcomitans</i> (Klinger 1912) N›rskov-Lauritsen and Kilian 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165826.20241212.9.2
title: <i>Aggregatibacter</i> <i>actinomycetemcomitans</i> (Klinger 1912) N›rskov-Lauritsen and Kilian 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165826.20251217.10
title: <i>Aggregatibacter</i> <i>actinomycetemcomitans</i> (Klinger 1912) N›rskov-Lauritsen and Kilian 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165827.20241212.9.2
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165827.20251217.10
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.18170553
title: DOREMI Denoised Distantly Supervised Datasets

description: This repository contains the distant denoised dataset produced using the DOREMI framework. 

DOcument-level Relation Extraction optiMizing the long taIl (DOREMI) is an active learning-based system that enhances the training data through targeted manual annotation of highly informative examples. DOREMI operates upstream in the general DocRE pipeline by augmenting the dataset in a model-agnostic fashion, enabling any downstream DocRE model to benefit from improved long-tail coverage. Such an approach results in the production of a Denoised Distantly Supervised Dataset (DDS) that can be used to train any existing DocRE model, demonstrating improvements in long-tail relation predictions.

We release four DDSs, which were used for the experimental evalutation of DOREMI. Two datasets (denoted by "DOREMI") were generated by cleaning the DocRED distant dataset by the DOREMI framework utlizing DocRED and Re-DocRED. The other two datasets were generated by an hybrid approach (denoted by "DU"), combining DOREMI long-tail predictions with UGDRE annotations for frequent relations. 

File Outline

All datasets are a denoised version of the DocRED distant dataset. Hence, they all contain the same documents and entities. The DocRED distant dataset consists of 101,873 documents and 1,965,484 entities.

The repository contains the following files:



DOREMI-DDS-DocRED.json: DDS generated by DOREMI utilizing DocRED. The dataset consists of 1,704,161 positive examples.

DOREMI-DDS-ReDocRED.json: DDS generated by DOREMI utilizing Re-DocRED. The dataset consists of 3,957,238 positive examples.

DU-DDS-DocRED.json: DDS generated by combining DOREMI (utilizing DocRED) long-tail predictions with UGDRE annotations for frequent relations. The dataset consists of 1,726,707 positive examples.

DU-DDS-ReDocRED.json: DDS generated by combining DOREMI (utilizing Re-DocRED) long-tail predictions with UGDRE annotations for frequent relations. The dataset consists of 1,796,229 positive examples.


Reproducibility Guidelines

This section describes how to obtain the results presented in the "Experimental Results" section of the paper.

Table 4 (and Tables A8 and B10 (a) of the Technical Appendix)



The performances for rows utilizing DOREMI as Distant Data were obtained training the DocRE models with DOREMI-DDS-DocRED.json.

The performances for rows utilizing D+U as Distant Data were obtained training the DocRE models with DU-DDS-DocRED.json.


Tables 5 and 6 (and Tables A8 and B10 (b) of the Technical Appendix))



The performances for rows utilizing DOREMI as Distant Data were obtained training the DocRE models with DOREMI-DDS-ReDocRED.json.

The performances for rows utilizing D+U as Distant Data were obtained training the DocRE models with DU-DDS-ReDocRED.json.
DOI: 10.13145/bacdive165828.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165828.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.18170552
title: DOREMI Denoised Distantly Supervised Datasets

description: This repository contains the distant denoised dataset produced using the DOREMI framework. 

DOcument-level Relation Extraction optiMizing the long taIl (DOREMI) is an active learning-based system that enhances the training data through targeted manual annotation of highly informative examples. DOREMI operates upstream in the general DocRE pipeline by augmenting the dataset in a model-agnostic fashion, enabling any downstream DocRE model to benefit from improved long-tail coverage. Such an approach results in the production of a Denoised Distantly Supervised Dataset (DDS) that can be used to train any existing DocRE model, demonstrating improvements in long-tail relation predictions.

We release four DDSs, which were used for the experimental evalutation of DOREMI. Two datasets (denoted by "DOREMI") were generated by cleaning the DocRED distant dataset by the DOREMI framework utlizing DocRED and Re-DocRED. The other two datasets were generated by an hybrid approach (denoted by "DU"), combining DOREMI long-tail predictions with UGDRE annotations for frequent relations. 

File Outline

All datasets are a denoised version of the DocRED distant dataset. Hence, they all contain the same documents and entities. The DocRED distant dataset consists of 101,873 documents and 1,965,484 entities.

The repository contains the following files:



DOREMI-DDS-DocRED.json: DDS generated by DOREMI utilizing DocRED. The dataset consists of 1,704,161 positive examples.

DOREMI-DDS-ReDocRED.json: DDS generated by DOREMI utilizing Re-DocRED. The dataset consists of 3,957,238 positive examples.

DU-DDS-DocRED.json: DDS generated by combining DOREMI (utilizing DocRED) long-tail predictions with UGDRE annotations for frequent relations. The dataset consists of 1,726,707 positive examples.

DU-DDS-ReDocRED.json: DDS generated by combining DOREMI (utilizing Re-DocRED) long-tail predictions with UGDRE annotations for frequent relations. The dataset consists of 1,796,229 positive examples.


Reproducibility Guidelines

This section describes how to obtain the results presented in the "Experimental Results" section of the paper.

Table 4 (and Tables A8 and B10 (a) of the Technical Appendix)



The performances for rows utilizing DOREMI as Distant Data were obtained training the DocRE models with DOREMI-DDS-DocRED.json.

The performances for rows utilizing D+U as Distant Data were obtained training the DocRE models with DU-DDS-DocRED.json.


Tables 5 and 6 (and Tables A8 and B10 (b) of the Technical Appendix))



The performances for rows utilizing DOREMI as Distant Data were obtained training the DocRE models with DOREMI-DDS-ReDocRED.json.

The performances for rows utilizing D+U as Distant Data were obtained training the DocRE models with DU-DDS-ReDocRED.json.
DOI: 10.13145/bacdive165829.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165829.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165830.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165830.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165831.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165831.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165832.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165832.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165833.20241212.9.2
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165833.20251217.10
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165834.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165834.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165835.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165835.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165836.20241212.9.2
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165836.20251217.10
title: <i>Lentilactobacillus</i> <i>farraginis</i> (Endo and Okada 2007) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165837.20241212.9.2
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165837.20251217.10
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165838.20241212.9.2
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive165838.20251217.10
title: <i>Limosilactobacillus</i> <i>fermentum</i> (Beijerinck 1901) Zheng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.zhzggd
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysolina aurichalcea (Mannerheim, 1825)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 317 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136470-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfjcc3
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prestonia cayennensis (A.DC.) Pichon"
 ]
}

 The dataset includes 76 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012453-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2yrz4
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruellia jaliscana Standl."
 ]
}

 The dataset includes 106 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033824-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h882td
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Spergula viscosa Lag."
 ]
}

 The dataset includes 324 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226062-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvmypk
title: Occurrence Download

description: A dataset containing 10080 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Papua New Guinea",
 "Country is Indonesia"
 ]
 },
 "Year 1980-2018",
 "TaxonKey is Paradisaeidae"
 ]
}

 The dataset includes 10080 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012443-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jx42b
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Platax orbicularis (Forsskål, 1775)"
 ]
}

 The dataset includes 285 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226059-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbgyux
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centruroides schmidti Sissom, 1995"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240522-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.242vvq
title: Occurrence Download

description: A dataset listing the 37383 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 37383 records were derived from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324574-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qfazn
title: Occurrence Download

description: A dataset containing 17466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kyphosus vaigiensis (Quoy & Gaimard, 1825))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17466 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050368-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rlkf1
title: Occurrence Download

description: A dataset listing the 206 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-38.08848 -4.58646,-38.70697 -6.30387,-38.3489 -7.435,-36.62364 -6.88593,-35.289 -7.33815,-33.95437 -7.20899,-35.38666 -4.87843,-37.5351 -4.26191,-38.08848 -4.58646))",
 "HasCoordinate is true",
 "TaxonKey is Cactaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 206 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012443-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3um9b
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centruroides tecomanus Hoffmann, 1932"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240530-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjjnee
title: Occurrence Download

description: A dataset containing 497096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-78.10608 7.55391,-72.87933 7.55391,-72.87933 9.94893,-78.10608 9.94893,-78.10608 7.55391))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 497096 records from 520 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012637-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5ynrl
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028995-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zum706
title: Occurrence Download

description: A dataset containing 788230159 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 788230159 records from 17096 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004566-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/yrzses
title: msXV_128r_31_15.jpg
DOI: 10.25346/s6eecgix/sdoq8k
title: msXV_128r_31_14.jpg
DOI: 10.25346/s6eecgix/mly18o
title: msXV_128r_31_13.jpg
DOI: 10.25346/s6eecgix/ldzy0d
title: msXV_128r_15_12.jpg
DOI: 10.25346/s6eecgix/jzkpxm
title: msXV_128r_15_11.jpg
DOI: 10.25346/s6eecgix/ze4hje
title: msXV_128r_15_10.jpg
DOI: 10.15468/dl.mgw7cw
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hexastylis shuttleworthii"
 ]
}

 The dataset includes 895 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062519-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/az6s98
title: msXV_128r_15_09.jpg
DOI: 10.25346/s6eecgix/q2mn2f
title: msXV_128r_15_08.jpg
DOI: 10.25346/s6eecgix/h08ua9
title: msXV_128r_15_07.jpg
DOI: 10.25346/s6eecgix/8scvij
title: msXV_128r_15_06.jpg
DOI: 10.15468/dl.6fkn3k
title: Occurrence Download

description: A dataset containing 13347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe, North America, South America)",
 "Country is one of (Colombia, Mexico, India, Saudi Arabia, Israel, Réunion, Ecuador, Kenya, United States of America, Brazil)",
 "DatasetKey is one of (Biodiversidad asociada al Estudio de Impacto Ambiental del proyecto: Interconexión Cuestecitas - Copey - Fundación 500/220 mil voltios, Flora asociada al EIA de la Línea de conexión a 500 kV Casa Eléctrica-Colectora I y Subestación Casa Eléctrica, Biodiversidad asociada al Estudio de Impacto Ambiental (EIA) para la construcción y operación de la línea de flujo Belleza - Casacará, iNaturalist Research-grade Observations, KSA Flora Survey 2013, INPA - Observations, Biodiversidad asociada al Estudio de Impacto Ambiental (EIA) para la obtención de la licencia ambiental global para el área de desarrollo VIM-43, CABI Africa Invasive and Alien Species data, Biodiversidad asociada al gasoducto Paiva-Caracolí, SeasonWatch - Tree Phenology Dataset (India))",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Prosopis juliflora"
 ]
}

 The dataset includes 13347 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062520-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.