cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/jnh-35r-ljh
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/88t-jtr-yqe
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hph-fc5-szc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qg6-sbr-p1s
title: Bos Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xmd-0hg-lbh
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hmd-8f2-zba
title: Rodentia Bowdich, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p3j-0sj-a9n
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7m4-68s-nz0
title: Muntiacus muntjak (Zimmermann, 1780)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/043-zp1-n3w
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p7d-ze4-c14
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/87q-py6-wa8
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lh0-ry8-b40
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/69r-8mb-zxj
title: Rusa C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6y5-7my-ens
title: Duboisia Szidat, 1936

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p98-b5k-648
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l7d-acq-54t
title: Symphalangus syndactylus (Raffles, 1821)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ybf-j1b-qpg
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rek-jwg-bhp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/szh-mv4-nq7
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d20-r0b-nlc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pv9-enb-2x3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/faz-vzt-pnl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qqf-r0c-m4x
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sdc-1ar-x1y
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/13h-v2v-r55
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gfj-9ek-8fy
title: Duboisia Szidat, 1936

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/94x-n8r-rs6
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rbk-c3l-vnw
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.xdqdt2
title: Occurrence Download

description: A dataset containing 8279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odonata",
 "Geometry POLYGON ((18.2494 -34.8049, 19.1382 -35.0665, 19.1382 -33.9401, 17.8437 -33.9401, 17.8729 -34.3757, 18.2494 -34.8049))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 8279 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019512-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/wtm-al9-wms
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/llj-1xm-bls
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xg2-zqp-1sy
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hxe-7xd-bmc
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zma-k1g-5jj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bw5-6px-20r
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hex-baw-0ec
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/srp-s3l-njj
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xkq-cbn-0vy
title: Muntiacus muntjak (Zimmermann, 1780)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e63-8g3-1tl
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/13y-6jx-r4g
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/the-re1-31v
title: Emydidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x7y-jl7-mth
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yxe-341-1nj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ej1-3b5-q39
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vp9-jbw-k9n
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.gk8s25
title: Occurrence Download

description: A dataset containing 254960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bufo bufo)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2020",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "Geometry POLYGON ((-180 -89.99893, 180 -89.99893, 180 83.59961, -180 83.59961, -180 -89.99893))"
 ]
}

 The dataset includes 254960 records from 1594 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019484-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/kprof2
title: NUK_B_day.nc

description: Uploaded with pyDataverse 2024-05-13 21:35
DOI: 10.22008/fk2/iw73uu/i0rnzt
title: NUK_B_month.nc

description: Uploaded with pyDataverse 2024-05-13 21:36
DOI: 10.22008/fk2/iw73uu/wpdtmw
title: AWS_variables.csv

description: Uploaded with pyDataverse 2024-05-13 21:36
DOI: 10.22008/fk2/iw73uu/henecd
title: AWS_latest_locations.csv

description: Uploaded with pyDataverse 2024-05-13 21:36
DOI: 10.22008/fk2/iw73uu/mtnqtp
title: AWS_metadata.csv

description: Uploaded with pyDataverse 2024-05-13 21:36
DOI: 10.22008/fk2/iw73uu/wh6rpl
title: AWS_data_readme.pdf

description: Uploaded with pyDataverse 2024-05-13 21:37
DOI: 10.5281/zenodo.18673744
title: Dataset: Air Quality Dataset for São Paulo (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for São Paulo covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in São Paulo, compare São Paulo with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.6084/m9.figshare.30988470
title: A Comparison of DeepSeek and other LLMs

description: Recently, DeepSeek has been the focus of attention in and beyond the AI community. An interesting problem is how DeepSeek compares to other large language models (LLMs). There are many tasks an LLM can do, and in this article, we use the <i>task of predicting an outcome using a short text</i> for comparison. We consider two settings, an authorship classification setting and a citation classification setting. In the first one, the goal is to determine whether a short text is written by human or AI. In the second one, the goal is to classify a citation into one of four types using the textual content. For each experiment, we compare DeepSeek with four popular LLMs: Claude, Gemini, GPT, and Llama. We find that, in terms of classification accuracy, DeepSeek outperforms Gemini, GPT, and Llama in most cases, but underperforms Claude. We also find that DeepSeek is comparably slower than others but with a low cost to use, while Claude is much more expensive than all the others. Finally, we find that in terms of similarity, the output of DeepSeek is most similar to those of Gemini and Claude (and among all five LLMs, Claude and Gemini have the most similar outputs). In this article, we also present a fully-labeled dataset collected by ourselves, and propose a recipe where we can use the LLMs and a recent dataset, MADStat, to generate new datasets. The datasets in our article can be used as benchmarks for future study on LLMs.
DOI: 10.6084/m9.figshare.30988470.v1
title: A Comparison of DeepSeek and Other LLMs

description: Recently, DeepSeek has been the focus of attention in and beyond the AI community. An interesting problem is how DeepSeek compares to other large language models (LLMs). There are many tasks an LLM can do, and in this paper, we use the <i>task of predicting an outcome using a short text</i> for comparison. We consider two settings, an authorship classification setting and a citation classification setting. In the first one, the goal is to determine whether a short text is written by human or AI. In the second one, the goal is to classify a citation to one of four types using the textual content. For each experiment, we compare DeepSeek with 4 popular LLMs: Claude, Gemini, GPT, and Llama. We find that, in terms of classification accuracy, DeepSeek outperforms Gemini, GPT, and Llama in most cases, but underperforms Claude. We also find that DeepSeek is comparably slower than others but with a low cost to use, while Claude is much more expensive than all the others. Finally, we find that in terms of similarity, the output of DeepSeek is most similar to those of Gemini and Claude (and among all 5 LLMs, Claude and Gemini have the most similar outputs). In this paper, we also present a fully-labeled dataset collected by ourselves, and propose a recipe where we can use the LLMs and a recent data set, MADStat, to generate new data sets. The datasets in our paper can be used as benchmarks for future study on LLMs.
DOI: 10.6084/m9.figshare.30988470.v2
title: A Comparison of DeepSeek and other LLMs

description: Recently, DeepSeek has been the focus of attention in and beyond the AI community. An interesting problem is how DeepSeek compares to other large language models (LLMs). There are many tasks an LLM can do, and in this article, we use the <i>task of predicting an outcome using a short text</i> for comparison. We consider two settings, an authorship classification setting and a citation classification setting. In the first one, the goal is to determine whether a short text is written by human or AI. In the second one, the goal is to classify a citation into one of four types using the textual content. For each experiment, we compare DeepSeek with four popular LLMs: Claude, Gemini, GPT, and Llama. We find that, in terms of classification accuracy, DeepSeek outperforms Gemini, GPT, and Llama in most cases, but underperforms Claude. We also find that DeepSeek is comparably slower than others but with a low cost to use, while Claude is much more expensive than all the others. Finally, we find that in terms of similarity, the output of DeepSeek is most similar to those of Gemini and Claude (and among all five LLMs, Claude and Gemini have the most similar outputs). In this article, we also present a fully-labeled dataset collected by ourselves, and propose a recipe where we can use the LLMs and a recent dataset, MADStat, to generate new datasets. The datasets in our article can be used as benchmarks for future study on LLMs.
DOI: 10.22008/fk2/iw73uu/p2a4vi
title: AWS_changelog.txt

description: Uploaded with pyDataverse 2024-05-13 21:37
DOI: 10.5281/zenodo.18673743
title: Dataset: Air Quality Dataset for São Paulo (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for São Paulo covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in São Paulo, compare São Paulo with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.22008/fk2/iw73uu/bjesw7
title: JAR_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/rdunek
title: NSE_hour.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/mnwrv2
title: NAU_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/fas9vp
title: QAS_L_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/znv1xt
title: UPE_L_hour.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/huptuq
title: MIT_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/eub56c
title: UPE_L_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/glibpw
title: KAN_M_hour.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/licwfd
title: NUK_U_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/mwl2zm
title: NUK_U_hour.nc

description: :unav
DOI: 10.5066/p9a2nsk0
title: Altitude of the top of the combined Lower Hell Creek and Fox Hills aquifers in the Powder River structural basin

description: These data were released prior to the October 1, 2016 effective date for the USGS&rsquo;s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.  These data represent the altitude, in feet above North American Vertical Datum of 1988 (NAVD88), of the combined Lower Hell Creek and Fox Hills aquifers in the Powder River basin. The data are presented as ASCII text files that can be converted to continuous raster format.
DOI: 10.22008/fk2/iw73uu/iih9ml
title: QAS_U_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/xgrxh9
title: THU_L2_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/mbvl88
title: TAS_A_day.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/37hexg
title: NSE_month.nc

description: :unav
DOI: 10.22008/fk2/iw73uu/zyhf2j
title: CEN_month.nc

description: :unav
DOI: 10.15468/dl.yyc4yn
title: Occurrence Download

description: A dataset containing 296724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Athene noctua (Scopoli, 1769))",
 "HasCoordinate is true",
 "DecimalLatitude is greater than or equal to 29.93667",
 "DecimalLatitude is less than or equal to 51.91193",
 "DecimalLongitude is greater than or equal to -14.67522",
 "DecimalLongitude is less than or equal to 39.79752",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)",
 "Year is greater than or equal to 1970",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 296724 records from 960 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039308-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zp7dmj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryozoa",
 "DatasetKey is Community Foundation for Ireland Records",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220075-230224095556074/datasets/export for details.
DOI: 10.15468/dl.ay47uz
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adesmia mucronata Hook. & Arn."
 ]
}

 The dataset includes 89 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064405-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11516592
title: COGNITIVE METAPHORS IN THE WORKS OF NAZAR ESHONQUL
DOI: 10.5281/zenodo.11516593
title: COGNITIVE METAPHORS IN THE WORKS OF NAZAR ESHONQUL
DOI: 10.15468/dl.67jnyn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryozoa",
 "DatasetKey is CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes de Monsieur Pratz Jean-Louis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220081-230224095556074/datasets/export for details.
DOI: 10.15468/dl.gmg3fr
title: Occurrence Download

description: A dataset containing 2598 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia pycnophylla Cuatrec."
 ]
}

 The dataset includes 2598 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039334-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x65h25
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puya longistyla Mez"
 ]
}

 The dataset includes 28 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098796-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsgc7k
title: Occurrence Download

description: A dataset containing 39480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Cantorchilus leucotis",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 39480 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064416-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emy3yz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puya macbridei L.B.Sm."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098800-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s45bs6
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Danae Medik."
 ]
}

 The dataset includes 161 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039378-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3zcz5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryozoa",
 "DatasetKey is iRecord Surveys",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220072-230224095556074/datasets/export for details.
DOI: 10.15468/dl.5kr7ak
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysimachia platypetala Franch."
 ]
}

 The dataset includes 76 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016992-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.593p3c
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lupinus neomexicanus Greene"
 ]
}

 The dataset includes 305 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015222-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.