cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kcp3jb
title: Occurrence Download

description: A dataset containing 2473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micranthes integrifolia (Hook.) Small"
 ]
}

 The dataset includes 2473 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116619-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmk2q5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guignardia laricina (Sawada) W.Yamam. & Kaz.Itô",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124905-210914110416597/datasets/export for details.
DOI: 10.11583/dtu.25244572
title: DiffEnc-32-8 trained on ImageNet32

description: Checkpoints for an image generation model trained on ImageNet32.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 32 and the encoder is of size 8. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.Model was trained on ImageNet32 for 1.5 million steps.Random seeds: 1, 2, 13<br>
DOI: 10.11583/dtu.25244572.v1
title: DiffEnc-32-8 trained on ImageNet32

description: Checkpoints for an image generation model trained on ImageNet32.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 32 and the encoder is of size 8. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.Model was trained on ImageNet32 for 1.5 million steps.Random seeds: 1, 2, 13<br>
DOI: 10.34816/ifao.archives.210067
title: FONDS SERGE SAUNERON_nb_1964_00825

description: Référence : nb_1964_00825<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.jukhrr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetrastigma pycnanthum (Collett & Hemsl.) P.Singh & B.V.Shetty"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011554-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6j35d
title: Occurrence Download

description: A dataset containing 2505 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geopelia maugeus (Temminck, 1809)"
 ]
}

 The dataset includes 2505 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0371054-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210068
title: FONDS SERGE SAUNERON_nb_1964_00826

description: Référence : nb_1964_00826<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.11583/dtu.25243369
title: VDMv-8 trained on MNIST

description: Checkpoints for an image generation model trained on MNIST.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 8. That is, the diffusion model uses 8 "down-blocks" in the U-net. See details in article.Model was trained on MNIST for 2 million steps with a batch size of 128.Random seeds: 1, 2, 13, 42, 70<br>
DOI: 10.11583/dtu.25243369.v1
title: VDMv-8 trained on MNIST

description: Checkpoints for an image generation model trained on MNIST.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 8. That is, the diffusion model uses 8 "down-blocks" in the U-net. See details in article.Model was trained on MNIST for 2 million steps with a batch size of 128.Random seeds: 1, 2, 13, 42, 70<br>
DOI: 10.15468/dl.hmrbvu
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cronartium comptoniae Arthur",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 105 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124922-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210069
title: FONDS SERGE SAUNERON_nb_1964_00827

description: Référence : nb_1964_00827<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.s7y7tn
title: Occurrence Download

description: A dataset containing 2571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.31745 10.83451,-83.33355 17.75016,-90.2492 29.50676,-121.60013 35.50032,-108.92144 17.51964,-98.31745 10.83451))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Liquidambar styraciflua L."
 ]
}

 The dataset includes 2571 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095276-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210070
title: FONDS SERGE SAUNERON_nb_1964_00828

description: Référence : nb_1964_00828<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.11583/dtu.25243354
title: DiffEnc-8-nt trained on MNIST

description: Checkpoints for an image generation model trained on MNIST.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added non-trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 8 and the encoder is non-trainable. That is, the diffusion model uses 8 "down-blocks" in the U-net. See details in article.Model was trained on MNIST for 2 million steps with a batch size of 128.Random seeds: 1, 2, 13, 42, 70<br>
DOI: 10.11583/dtu.25243354.v1
title: DiffEnc-8-nt trained on MNIST

description: Checkpoints for an image generation model trained on MNIST.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added non-trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 8 and the encoder is non-trainable. That is, the diffusion model uses 8 "down-blocks" in the U-net. See details in article.Model was trained on MNIST for 2 million steps with a batch size of 128.Random seeds: 1, 2, 13, 42, 70<br>
DOI: 10.15468/dl.8jeydd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryocoetes himalayensis H.Strohmeyer, 1908",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124939-210914110416597/datasets/export for details.
DOI: 10.15468/dl.m37cnz
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nypa fruticans Wurmb",
 "HasCoordinate is true"
 ]
}

 The dataset includes 454 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062354-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11583/dtu.25243339
title: DiffEnc-8-2 trained on MNIST

description: Checkpoints for an image generation model trained on MNIST.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 8 and the encoder is of size 2. That is, the diffusion model uses 8 "down-blocks" in the U-net. See details in article.Model was trained on MNIST for 2 million steps with a batch size of 128.Random seeds: 1, 2, 13, 42, 70<br>
DOI: 10.11583/dtu.25243339.v1
title: DiffEnc-8-2 trained on MNIST

description: Checkpoints for an image generation model trained on MNIST.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 8 and the encoder is of size 2. That is, the diffusion model uses 8 "down-blocks" in the U-net. See details in article.Model was trained on MNIST for 2 million steps with a batch size of 128.Random seeds: 1, 2, 13, 42, 70<br>
DOI: 10.15468/dl.vgss7q
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bidens steyermarkii Sherff"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095256-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.287j9t
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnosporangium biseptatum Ellis",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 150 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133890-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t8r8r
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parkraemeria ornata Whitley, 1951"
 ]
}

 The dataset includes 75 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062401-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210071
title: FONDS SERGE SAUNERON_nb_1964_00829

description: Référence : nb_1964_00829<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.11583/dtu.25243183
title: DiffEnc-32-4 trained on CIFAR-10

description: Checkpoints for an image generation model trained on CIFAR-10.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 32 and the encoder is of size 4. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.Model was trained on CIFAR-10 for 8 million steps.Random seeds: 1, 2, 13<br>
DOI: 10.11583/dtu.25243183.v1
title: DiffEnc-32-4 trained on CIFAR-10

description: Checkpoints for an image generation model trained on CIFAR-10.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) with an added trainable time-dependent encoder trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 32 and the encoder is of size 4. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.Model was trained on CIFAR-10 for 8 million steps.Random seeds: 1, 2, 13<br>
DOI: 10.15468/dl.4ut99b
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meliola magnoliae F.Stevens",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 100 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116580-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210072
title: FONDS SERGE SAUNERON_nb_1964_00830

description: Référence : nb_1964_00830<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.s48r4k
title: Occurrence Download

description: A dataset listing the 2394 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Base de datos sobre la flora de Durango"
 ]
}

 The dataset's 2394 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014229-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3mzmm
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diancistrus alleni Schwarzhans, Møller & Nielsen, 2005"
 ]
}

 The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062353-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210073
title: FONDS SERGE SAUNERON_nb_1964_00931

description: Référence : nb_1964_00931<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.ze45xu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meliola floridensis Hansf.",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116578-230530130749713/datasets/export for details.
DOI: 10.11583/dtu.25243195
title: VDMv-32 trained on CIFAR-10

description: Checkpoints for an image generation model trained on CIFAR-10.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 32. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.Model was trained on CIFAR-10 for 8 million steps with a batch size of 128.Random seeds: 1, 2, 13<br>
DOI: 10.11583/dtu.25243195.v1
title: VDMv-32 trained on CIFAR-10

description: Checkpoints for an image generation model trained on CIFAR-10.The model was made in Jax. See the github repository for code to load the checkpoints.The model is a variational diffusion model (VDM, https://arxiv.org/abs/2107.00630) trained for the article "DiffEnc: Variational Diffusion with a Learned Encoder" (https://arxiv.org/abs/2310.19789).Model uses v-parametrization for the loss. The diffusion model is of size 32. That is, the diffusion model uses 32 "down-blocks" in the U-net. See details in article.Model was trained on CIFAR-10 for 8 million steps with a batch size of 128.Random seeds: 1, 2, 13<br>
DOI: 10.34816/ifao.archives.210074
title: FONDS SERGE SAUNERON_nb_1964_00932

description: Référence : nb_1964_00932<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.8emea3
title: Occurrence Download

description: A dataset containing 266400 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater samples in MZNA-INV-FRW: Macroinvertebrate samples from the water quality monitoring network along the Ebro Basin"
 ]
}

 The dataset includes 266400 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001322-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpp5xy
title: Occurrence Download

description: A dataset containing 37845 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NHMD Ornithology Collection"
 ]
}

 The dataset includes 37845 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0429819-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210075
title: FONDS SERGE SAUNERON_nb_1964_00933

description: Référence : nb_1964_00933<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.d6x589
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Clematis acerifolia Maxim."
 ]
}

 The dataset includes 95 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031474-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210076
title: FONDS SERGE SAUNERON_nb_1964_00934

description: Référence : nb_1964_00934<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.8r4xqf
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.8135735000000039 41.7699624999999983, -87.8135735000000039 41.7735283600000002, -87.8135735000000039 41.7761341799999997, -87.8135735000000039 41.7777799699999974, -87.8135735000000039 41.7812086799999989, -87.8135735000000039 41.7838144999999983, -87.8105616099999935 41.7838144999999983, -87.8086449599999952 41.7838144999999983, -87.8057699700000001 41.7838144999999983, -87.8037164100000069 41.7838144999999983, -87.7998831000000024 41.7838144999999983, -87.7998831000000024 41.7823058700000018, -87.7998831000000024 41.7798371900000021, -87.7998831000000024 41.7781914099999980, -87.7998831000000024 41.7759970299999992, -87.7998831000000024 41.7727054699999982, -87.7998831000000024 41.7699624999999983, -87.8028949899999986 41.7699624999999983, -87.8053592600000030 41.7699624999999983, -87.8086449599999952 41.7699624999999983, -87.8106985200000025 41.7699624999999983, -87.8135735000000039 41.7699624999999983))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097352-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210077
title: FONDS SERGE SAUNERON_nb_1964_00935

description: Référence : nb_1964_00935<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.azwe38
title: Occurrence Download

description: A dataset containing 2346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cynara L.",
 "Year 2020-2022"
 ]
}

 The dataset includes 2346 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0431934-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.210078
title: FONDS SERGE SAUNERON_nb_1964_00936

description: Référence : nb_1964_00936<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.ngb59r
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Switzerland, Slovenia, Netherlands, Germany, Estonia, France, Austria, United Kingdom of Great Britain and Northern Ireland)",
 "TaxonKey is Sphegina sibirica Stackelberg, 1953"
 ]
}

 The dataset includes 305 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132667-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.