cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/62r-y1t-188
title: Polybotrya suberecta (Baker) C. Chr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gjg-3np-mb0
title: Pityrogramma × longipes (Baker)

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mxx-y8c-3f4
title: Polystichum pycnolepis (Kunze ex Klotzsch) T. Moore

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wm8-shq-682
title: Polybotrya suberecta (Baker) C. Chr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.x5xqc5
title: Occurrence Download

description: A dataset containing 104964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coronella austriaca Laurenti, 1768, Rana dalmatina Bonaparte, 1840, Podarcis muralis (Laurenti, 1768), Rana arvalis Nilsson, 1842, Bufo calamita Cope, 1864, Pelobates fuscus (Laurenti, 1768), Rana dalmatina Fitzinger, 1838, Epidalea calamita (Laurenti, 1768), Bombina variegata (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Coronella austriaca Kristan, 1957, Hyla arborea (Linnaeus, 1758), Lacerta agilis Linnaeus, 1758, Bufotes viridis (Laurenti, 1768), Pelophylax lessonae (Camerano, 1882))",
 "Year is one of (2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 47.53364139636112",
 "DecimalLatitude is less than or equal to 54.8769089978912",
 "DecimalLongitude is greater than or equal to 6.033629",
 "DecimalLongitude is less than or equal to 15.037743",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 104964 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113144-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7vc-qwm-dqb
title: Polystichum pycnolepis (Kunze ex Klotzsch) T. Moore

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/62k-n7e-pv1
title: Polystichopsis muscosa (Vahl) Proctor

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/k88-ejw-4l6
title: Polystichum nudicaule Rosenst.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1h8-2m9-jbf
title: Polystichum nudicaule Rosenst.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5rj-rp5-j7f
title: Microgramma heterophylla (L.) Wherry

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7sj-k9c-9h3
title: Melpomene pilosissima (M. Martens & Galeotti) A. R. Sm. & R. C. Moran

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nkz-m11-240
title: Pityrogramma ebenea var. aurata (T. Moore) Lellinger

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gpd-mkq-t5t
title: Pityrogramma ebenea var. aurata (T. Moore) Lellinger

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/z6h-wzf-6tk
title: Phanerophlebia remotispora E. Fourn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6mm-m7m-dtg
title: Phanerophlebia remotispora E. Fourn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/802-pqe-wvk
title: Phlegmariurus phlegmarioides (Gaudich.) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/12n-w8f-exp
title: Marsilea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jps-59v-kec
title: Phlegmariurus phlegmarioides (Gaudich.) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mb8-yjd-21y
title: Pteris L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/98a-hka-z7d
title: Pleopeltis squamata (L.) J. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rfn-qvx-70a
title: Pteris fraseri Mett. ex Kuhn

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bke-ztx-hq8
title: Phlegmariurus delbrueckii (Herter) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ftn-pvw-z15
title: Chingia marattioides (Alston) S. E. Fawc. & A. R. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gr7-f0z-7zv
title: Polypodium pleurosorum Kunze ex Mett.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/87y-p9v-ay4
title: Chingia marattioides (Alston) S. E. Fawc. & A. R. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rkg-3ea-tvk
title: Cheilanthes dolomiticola (Schelpe) Schelpe & N. C. Anthony

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lz9-v9y-gjm
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pla-tpm-245
title: Leptochilus sarawakensis Li Bing Zhang & Liang Zhang

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5ml-sjf-92m
title: Cheilanthes hypoleuca (Kunze) Mett.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0q1-148-f85
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8ct-m6p-881
title: Pleocnemia macrodonta (C. Presl ex Fée) Holttum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lqp-vp8-e0p
title: Reholttumia vaupelii (C. Chr.) S. E. Fawc. & A. R. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fwd-ww3-h9a
title: Tomophyllum congregatifolium (Alderw.) Parris

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/86g-91t-dzv
title: Pteris finotii Christ

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q6t-rcp-phd
title: Pteris grevilleana Wall. ex J. Agardh

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nds-398-w5m
title: Megalastrum galeottii (M. Martens) R. C. Moran & J. Prado

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2vj-qd5-eza
title: Megalastrum galeottii (M. Martens) R. C. Moran & J. Prado

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dkj-fxd-bph
title: Pteris friesii Hieron.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hzb-0el-5c4
title: Phlegmariurus ledermannii (Herter) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2vr-t66-26s
title: Phlegmariurus ledermannii (Herter) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/m29-80f-s19
title: Polypodium rhodopleuron Kunze

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tjn-1j6-p72
title: Phlegmariurus ledermannii (Herter) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5h0-5ch-hel
title: Polypodium arcanum var. bakeri (Davenp.) Mickel & Tejero

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/05e-hqw-jtz
title: Phlegmariurus ledermannii (Herter) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/syq-158-td0
title: Polypodium pleurosorum Kunze ex Mett.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8jh-xl9-689
title: Pteris semiadnata Phil.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/93g-zyt-xfa
title: Polypodium pleurosorum Kunze ex Mett.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jqn-erg-7zv
title: Polypodium pleurosorum Kunze ex Mett.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d68-d4a-jz0
title: Pteris kiuschiuensis Hieron.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xdn-49m-kwm
title: Polystichum bamlerianum Rosenst.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gcz-nk2-y4s
title: Polystichum mohrioides (Bory) C. Presl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6l1-e3k-tz8
title: Polystichum bamlerianum Rosenst.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cyh-5cj-afq
title: Moranopteris longisetosa (Hook.) R. Y. Hirai & J. Prado

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0j3-4sp-2ld
title: Moranopteris longisetosa (Hook.) R. Y. Hirai & J. Prado

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.v9u89p
title: Occurrence Download

description: A dataset containing 779888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coronella austriaca Laurenti, 1768, Rana dalmatina Bonaparte, 1840, Podarcis muralis (Laurenti, 1768), Rana arvalis Nilsson, 1842, Bufo calamita Cope, 1864, Pelobates fuscus (Laurenti, 1768), Rana dalmatina Fitzinger, 1838, Epidalea calamita (Laurenti, 1768), Bombina variegata (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Coronella austriaca Kristan, 1957, Hyla arborea (Linnaeus, 1758), Lacerta agilis Linnaeus, 1758, Bufotes viridis (Laurenti, 1768), Pelophylax lessonae (Camerano, 1882))",
 "Year is one of (2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 44.95782311925129",
 "DecimalLatitude is less than or equal to 58.30331634439415",
 "DecimalLongitude is greater than or equal to -10.001896207643075",
 "DecimalLongitude is less than or equal to 30.31691447027875",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 779888 records from 3206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113143-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vagyhp
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnotocinclus anosteos",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011084-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x39ck7
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tricyrtis setouchiensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011083-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31323782
title: Designing New multivariate charting schemes for monitoring location under the classical and machine learning setups

description: This paper proposes two novel approaches that combines Multivariate Shewhart and Exponentially Weighted Moving Average (CMSEWMA) charts to monitor shifts in the location of multivariate data streams and integrating machine learning techniques. The methods are designed to effectively detect both large and small shifts in dynamic data streams, addressing the limitations of existing multivariate control charts. By fully utilizing the information from the out of control (OC) data and feeding both the original input and the input after applying the Multivariate Exponentially Weighted Moving Average (MEWMA) sequence into a Support Vector Machine (SVM) model, non-parametric monitoring statistics for large and small shifts are constructed, enhancing sensitivity to changes of different magnitudes. Extensive simulation studies and practical applications in water quality monitoring demonstrate that this control chart outperforms traditional methods, highlighting its robustness and adaptability under various data distributions and change conditions. The results validate the effectiveness of CMSEWMA control charts in detecting changes across diverse scenarios, making it a valuable tool for real-time monitoring in complex systems over competitors.
DOI: 10.6084/m9.figshare.31323782.v1
title: Designing New multivariate charting schemes for monitoring location under the classical and machine learning setups

description: This paper proposes two novel approaches that combines Multivariate Shewhart and Exponentially Weighted Moving Average (CMSEWMA) charts to monitor shifts in the location of multivariate data streams and integrating machine learning techniques. The methods are designed to effectively detect both large and small shifts in dynamic data streams, addressing the limitations of existing multivariate control charts. By fully utilizing the information from the out of control (OC) data and feeding both the original input and the input after applying the Multivariate Exponentially Weighted Moving Average (MEWMA) sequence into a Support Vector Machine (SVM) model, non-parametric monitoring statistics for large and small shifts are constructed, enhancing sensitivity to changes of different magnitudes. Extensive simulation studies and practical applications in water quality monitoring demonstrate that this control chart outperforms traditional methods, highlighting its robustness and adaptability under various data distributions and change conditions. The results validate the effectiveness of CMSEWMA control charts in detecting changes across diverse scenarios, making it a valuable tool for real-time monitoring in complex systems over competitors.
DOI: 10.15468/dl.gfyqfk
title: Occurrence Download

description: A dataset containing 7027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.50343 49.93147,-5.81429 49.56788,-0.01821 49.93147,2.31305 51.51417,-0.01821 59.06404,-5.08711 60.04788,-11.50343 59.06404,-11.50343 49.93147))",
 "OccurrenceStatus is Present",
 "TaxonKey is Hymenophyllum wilsonii"
 ]
}

 The dataset includes 7027 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011085-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18498789
title: Artifacts_file

description: .qza artifacts files for practical lecture QIIME2
DOI: 10.5281/zenodo.18498790
title: Artifacts_file

description: .qza artifacts files for practical lecture QIIME2
DOI: 10.15468/dl.yfes5r
title: Occurrence Download

description: A dataset containing 1056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Cyperus cuspidatus"
 ]
}

 The dataset includes 1056 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011086-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32x2x5
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammatophyllum speciosum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 195 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011087-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30931817
title: Dataset for the article "Potential overinterpretation of results in the abstracts of machine learning studies for movie box office revenue prediction: a systematic review"

description: Machine learning (ML) has significantly advanced the prediction of movie box office revenue (MBOR). However, ML studies are subject to the risk of overinterpretation, defined as the misuse of language so that evaluation results appear overly positive. This phenomenon is particularly acute in the abstract, which serves as the primary tool for attracting readership, thereby creating the potential for overemphasis on the most favorable results. To assess the frequency and prevalence of overinterpretation in study abstracts, we conducted a prospectively registered systematic review of the MBOR literature. Three databases (Scopus, IEEE Digital Library, and ACM Digital Library) were searched for English-language peer-reviewed articles published until 2024. We evaluated 46 eligible articles for nine reporting practices adapted from a classification of overinterpretation in biomedical literature. The most prevalent practices in the abstract were the omission of performance metrics (87%) and inappropriate use of strong and leading words (44%). The absence of mean absolute percentage error (MAPE, 28%) and coefficient of determination (<i>R</i><sup><em>2</em></sup>, 24%) in the abstract was also common, even though these metrics were provided in the main text. Contrary to expectation, no inappropriate extrapolation of evaluation results in abstracts was found. This review highlights the diversity of reporting practices in the abstracts of ML-based MBOR studies. We submit recommendations for enhanced reporting, which can promote the accurate interpretation of evaluation results and the synthesis of evidence from multiple studies.
DOI: 10.6084/m9.figshare.30931817.v1
title: Dataset for the article "Potential overinterpretation of results in the abstracts of machine learning studies for movie box office revenue prediction: a systematic review"

description: Machine learning (ML) has significantly advanced the prediction of movie box office revenue (MBOR). However, ML studies are subject to the risk of overinterpretation, defined as the misuse of language so that evaluation results appear overly positive. This phenomenon is particularly acute in the abstract, which serves as the primary tool for attracting readership, thereby creating the potential for overemphasis on the most favorable results. To assess the frequency and prevalence of overinterpretation in study abstracts, we conducted a prospectively registered systematic review of the MBOR literature. Three databases (Scopus, IEEE Digital Library, and ACM Digital Library) were searched for English-language peer-reviewed articles published until 2024. We evaluated 46 eligible articles for nine reporting practices adapted from a classification of overinterpretation in biomedical literature. The most prevalent practices in the abstract were the omission of performance metrics (87%) and inappropriate use of strong and leading words (44%). The absence of mean absolute percentage error (MAPE, 28%) and coefficient of determination (<i>R</i><sup><em>2</em></sup>, 24%) in the abstract was also common, even though these metrics were provided in the main text. Contrary to expectation, no inappropriate extrapolation of evaluation results in abstracts was found. This review highlights the diversity of reporting practices in the abstracts of ML-based MBOR studies. We submit recommendations for enhanced reporting, which can promote the accurate interpretation of evaluation results and the synthesis of evidence from multiple studies.
DOI: 10.15468/dl.kmp9f2
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tulipa gesneriana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 400 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011088-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k84pjz
title: Occurrence Download

description: A dataset containing 1376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Faxonius virilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-24.6 34.6, 35.65 34.6, 35.65 72, -24.6 72, -24.6 34.6))"
 ]
}

 The dataset includes 1376 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011089-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aheugu
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnotocinclus canoeiro",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011090-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.