cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5064/f6jw8bsd/lz5w47
title: 1912FirstBalkanARW.pdf
DOI: 10.5064/f6jw8bsd/ohekws
title: 1909Spanish-MoroccanARW.pdf
DOI: 10.5064/f6jw8bsd/repvea
title: 1911Italo-TurkishARW.pdf
DOI: 10.5064/f6jw8bsd/xx4ozu
title: 1909Spanish-MoroccanMD.pdf
DOI: 10.5064/f6jw8bsd/2zypiv
title: 1913SecondBalkanARW.pdf
DOI: 10.5064/f6jw8bsd/cmlamq
title: 1912FirstBalkanMD.pdf
DOI: 10.5064/f6jw8bsd/iie0dc
title: 1913SecondBalkanMD.pdf
DOI: 10.5064/f6jw8bsd/kxmcft
title: 1914WorldWarIARW.pdf
DOI: 10.5064/f6jw8bsd/rqhcke
title: 1919Franco-TurkishARW.pdf
DOI: 10.5064/f6jw8bsd/47hrwr
title: 1919Russo-PolishARW.pdf
DOI: 10.5064/f6jw8bsd/bx3dwm
title: 1919HungarianARW.pdf
DOI: 10.5064/f6jw8bsd/dcb3ll
title: 1919HungarianMD.pdf
DOI: 10.5064/f6jw8bsd/dlctt0
title: 1919Greco-TurkishARW.pdf
DOI: 10.5064/f6jw8bsd/rtyvye
title: 1919Greco-TurkishMD.pdf
DOI: 10.5064/f6jw8bsd/ugpvee
title: 1919Russo-PolishMD.pdf
DOI: 10.5064/f6jw8bsd/40uzcl
title: 1932ChacoARW.pdf
DOI: 10.5064/f6jw8bsd/acfvsz
title: 1929Sino-SovietARW.pdf
DOI: 10.5064/f6jw8bsd/bwedik
title: 1929Sino-SovietMD.pdf
DOI: 10.5064/f6jw8bsd/l3h0h5
title: 1931ManchurianARW.pdf
DOI: 10.5064/f6jw8bsd/nvlogk
title: 1920Lithuanian-PolishARW.pdf
DOI: 10.5064/f6jw8bsd/txwkvb
title: 1931ManchurianMD.pdf
DOI: 10.5064/f6jw8bsd/7mdcht
title: 1934Saudi-YemeniARW.pdf
DOI: 10.5064/f6jw8bsd/g1oi0c
title: 1935Italo-EthiopianMD.pdf
DOI: 10.5064/f6jw8bsd/m2uaoz
title: 1932ChacoMD.pdf
DOI: 10.5064/f6jw8bsd/m7bufx
title: 1935Italo-EthiopianARW.pdf
DOI: 10.5064/f6jw8bsd/n0zruf
title: 1937SecondSino-JapaneseMD.pdf
DOI: 10.5064/f6jw8bsd/uxpzym
title: 1934Saudi-YemeniMD.pdf
DOI: 10.5064/f6jw8bsd/0gef82
title: 1939NomonhanMD.pdf
DOI: 10.5064/f6jw8bsd/1sppzo
title: 1938ChangkufengARW.pdf
DOI: 10.5064/f6jw8bsd/8v9trm
title: 1939Russo-FinnishARW.pdf
DOI: 10.5064/f6jw8bsd/aid4oa
title: 1939NomonhanARW.pdf
DOI: 10.5064/f6jw8bsd/ezxjen
title: 1938ChangkufengMD.pdf
DOI: 10.5064/f6jw8bsd/qoqfy3
title: 1939Russo-FinnishMD.pdf
DOI: 10.5064/f6jw8bsd/1ecazn
title: 1939WorldWarII(Europe)ARW.pdf
DOI: 10.5064/f6jw8bsd/bcgmxk
title: 1940Franco-ThaiMD.pdf
DOI: 10.5064/f6jw8bsd/cjotts
title: 1948PalestineMD.pdf
DOI: 10.5064/f6jw8bsd/eaodgm
title: 1940Franco-ThaiARW.pdf
DOI: 10.5064/f6jw8bsd/kpy45r
title: 1948PalestineARW.pdf
DOI: 10.5064/f6jw8bsd/wlcmwr
title: 1947KashmirARW.pdf
DOI: 10.5064/f6jw8bsd/3bd1ne
title: 1950KoreanMD.pdf
DOI: 10.5064/f6jw8bsd/hpdksc
title: 1956SinaiARW.pdf
DOI: 10.5064/f6jw8bsd/jky3tv
title: 1956Russo-HungarianARW.pdf
DOI: 10.5064/f6jw8bsd/q4hkxe
title: 1948_First_Kashmir_JS.pdf
DOI: 10.5064/f6jw8bsd/tiipim
title: 1956Russo-HungarianMD.pdf
DOI: 10.5064/f6jw8bsd/uiqavm
title: 1950KoreanARW.pdf
DOI: 10.5064/f6jw8bsd/ivqatp
title: 1965SecondKashmirARW.pdf
DOI: 10.5064/f6jw8bsd/jia5eo
title: 1965_Second_Kashmir_JS.pdf
DOI: 10.5064/f6jw8bsd/khf2wz
title: 1962AssamMD.pdf
DOI: 10.5064/f6jw8bsd/mecd1p
title: 1965VietnamARW.pdf
DOI: 10.5064/f6jw8bsd/sycepq
title: 1956SinaiMD.pdf
DOI: 10.5064/f6jw8bsd/tii8hp
title: 1962AssamARW.pdf
DOI: 10.5064/f6jw8bsd/4u6zei
title: 1967SixDayARW.pdf
DOI: 10.5064/f6jw8bsd/6pkluh
title: 1969SoccerARW.pdf
DOI: 10.5064/f6jw8bsd/8lasu1
title: 1971BangladeshARW.pdf
DOI: 10.5064/f6jw8bsd/eqkwge
title: 1969Israeli-EgyptianARW.pdf
DOI: 10.5064/f6jw8bsd/k3i62k
title: 1969_Football_JS.pdf
DOI: 10.5064/f6jw8bsd/ly6xof
title: 1967SixDayIsraeli-EgyptianMD.pdf
DOI: 10.5064/f6jw8bsd/1g3vmn
title: 1973YomKippurMD.pdf
DOI: 10.5064/f6jw8bsd/ful2oc
title: 1974Turko-CypriotMD.pdf
DOI: 10.5064/f6jw8bsd/rcteyp
title: 1971_Bangladesh_JS.pdf
DOI: 10.5064/f6jw8bsd/wucmuq
title: 1973Yom KippurARW.pdf
DOI: 10.5064/f6jw8bsd/xigp81
title: 1974Turko-CypriotARW.pdf
DOI: 10.5281/zenodo.13773070
title: TEI-XML Encoding of two copies of 'Le dit des planetes' within Paris, Bibliothèque nationale de France, fonds français, 24432

description: The text's verse form is marked through the use of <lg> and <l> elements.

Labels, marginal notes, catchwords, highlighted sections, moments of damage, gaps in text, and blank spaces are marked using <label>, <note>, <fw>, <hi>, <damage>, <gap>, and <space> respectively.

Within the text of the encoding, expansions of scribal abbreviation, additions and deletions by scribal or later hands, as well as editorial regularisations, corrections, suppressions and insertions have been encoded using the <expan>, <add>,<del>, <reg>, <corr>, <surplus>, and <supplied> elements respectively, alongside the unexpanded, unregularised and uncorrected version of the text, through the <abbr>, <orig>, and <sic> elements respectively. Where more than one variant of the same segment of text has been encoded, for example in cases of expanded abbreviation and regularisation, the variants have been contained within a <choice> tag.
DOI: 10.5281/zenodo.13773071
title: TEI-XML Encoding of two copies of 'Le dit des planetes' within Paris, Bibliothèque nationale de France, fonds français, 24432

description: The text's verse form is marked through the use of <lg> and <l> elements.

Labels, marginal notes, catchwords, highlighted sections, moments of damage, gaps in text, and blank spaces are marked using <label>, <note>, <fw>, <hi>, <damage>, <gap>, and <space> respectively.

Within the text of the encoding, expansions of scribal abbreviation, additions and deletions by scribal or later hands, as well as editorial regularisations, corrections, suppressions and insertions have been encoded using the <expan>, <add>,<del>, <reg>, <corr>, <surplus>, and <supplied> elements respectively, alongside the unexpanded, unregularised and uncorrected version of the text, through the <abbr>, <orig>, and <sic> elements respectively. Where more than one variant of the same segment of text has been encoded, for example in cases of expanded abbreviation and regularisation, the variants have been contained within a <choice> tag.
DOI: 10.5064/f6jw8bsd/atahyy
title: 1977OgadenARW.pdf
DOI: 10.5064/f6jw8bsd/i4khpe
title: 1978Ugandan-TanzanianARW.pdf
DOI: 10.5064/f6jw8bsd/o6upfw
title: 1977Vietnamese-CambodianARW.pdf
DOI: 10.5064/f6jw8bsd/ru2q6e
title: 1979Sino-VietnameseARW.pdf
DOI: 10.5064/f6jw8bsd/ubfgzv
title: 1975_Vietnamese-Cambodian_JS.pdf
DOI: 10.5064/f6jw8bsd/umh86x
title: 1978Ugandan-TanzanianMD.pdf
DOI: 10.5064/f65q4t1p/mriigf
title: 0_Perez-Linan_Actors_Coding_Rules.pdf
DOI: 10.5064/f6jw8bsd/2off2r
title: 1982Israel-SyriaARW.pdf
DOI: 10.5064/f6jw8bsd/ciosoy
title: 1982LebanonMD.pdf
DOI: 10.5064/f6jw8bsd/hcihup
title: 1980Iran-IraqMD.pdf
DOI: 10.5064/f6jw8bsd/lowcd2
title: 1980Iran-IraqARW.pdf
DOI: 10.5064/f6jw8bsd/pxe6r8
title: 1982FalklandsARW.pdf
DOI: 10.5064/f6jw8bsd/ufpj0r
title: 1979_Sino-Vietnamese_JS.pdf
DOI: 10.5064/f65q4t1p/anz3sa
title: Perez-Linan_ARG.pdf
DOI: 10.5064/f6jw8bsd/2mhz3x
title: 1991GulfARW.pdf
DOI: 10.5064/f6jw8bsd/8bcjqx
title: 1990GulfMD.pdf
DOI: 10.5064/f6jw8bsd/lkkv63
title: 1987Sino-VietnameseARW.pdf
DOI: 10.15468/dl.7fgb5k
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cryptosepalum diphyllum P.A.Duvign.)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019705-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f65q4t1p/asmqpf
title: Perez-Linan_BOL.pdf
DOI: 10.5064/f65q4t1p/56vhes
title: Perez-Linan_BRA.pdf
DOI: 10.5064/f65q4t1p/lcnx3q
title: Perez-Linan_CHL.pdf
DOI: 10.5064/f65q4t1p/mb1wv3
title: Perez-Linan_COL.pdf
DOI: 10.5064/f65q4t1p/lpstyt
title: Perez-Linan_CRI.pdf
DOI: 10.5064/f65q4t1p/cnwr7l
title: Perez-Linan_CUB.pdf
DOI: 10.5064/f65q4t1p/jtsdwc
title: Perez-Linan_DOM.pdf
DOI: 10.5064/f65q4t1p/6txb5g
title: Perez-Linan_ECU.pdf
DOI: 10.5064/f65q4t1p/ixvwrs
title: Perez-Linan_GTM.pdf
DOI: 10.5064/f65q4t1p/8phdra
title: Perez-Linan_HND.pdf
DOI: 10.5064/f65q4t1p/ajkdde
title: Perez-Linan_HTI.pdf
DOI: 10.5064/f65q4t1p/ziaa2k
title: Perez-Linan_MEX.pdf
DOI: 10.5064/f65q4t1p/lbtbpu
title: Perez-Linan_NIC.pdf
DOI: 10.5064/f65q4t1p/eofpcl
title: Perez-Linan_PAN.pdf
DOI: 10.5064/f65q4t1p/bplhiv
title: Perez-Linan_PER.pdf
DOI: 10.5064/f65q4t1p/m56cbs
title: Perez-Linan_PRY.pdf
DOI: 10.5064/f65q4t1p/wkewz1
title: Perez-Linan_SLV.pdf
DOI: 10.5064/f65q4t1p/e5ffjt
title: Perez-Linan_URY.pdf
DOI: 10.5064/f65q4t1p/kq22ol
title: Perez-Linan_VEN.pdf
DOI: 10.5064/f65q4t1p/funu9b
title: 0_README_Perez-Linan.txt
DOI: 10.5064/f65q4t1p/pwviin
title: Mainwaring-Perez-Linan_Actors_Coding_Rules.pdf
DOI: 10.5064/f65q4t1p/haczo3
title: README_Mainwaring-Perez-Linan.txt
DOI: 10.5066/p13mvpmu
title: CAnVAS Mean Climate Parameters with Uncertainty Estimates (1970-1999 and 2010-2099), Derived from Multivariate Adaptive Constructed Analogs (MACAv2-Livneh) statistically downscaled Global Climate Models

description: This dataset contains the multi-model means of various climate parameters with uncertainty bounds from the Multivariate Adaptive Constructed Analogs statistically downscaled global climate model dataset for different time slices between 1970 and 2099. The data is provided for both the Representative Concentration Pathway 4.5 W m-2 and 8.5 W m-2 future climate scenarios.
DOI: 10.5064/f65q4t1p/3tdtdv
title: Mainwaring-Perez-Linan_ARG.pdf
DOI: 10.5064/f65q4t1p/qp8y03
title: Mainwaring-Perez-Linan_BOL.pdf
DOI: 10.5064/f65q4t1p/wwfuel
title: Mainwaring-Perez-Linan_BRA.pdf
DOI: 10.5064/f65q4t1p/bwjbrd
title: Mainwaring-Perez-Linan_CHL.pdf
DOI: 10.5064/f65q4t1p/tbsop8
title: Mainwaring-Perez-Linan_COL.pdf
DOI: 10.5064/f65q4t1p/dc0cjp
title: Mainwaring-Perez-Linan_CRI.pdf
DOI: 10.5064/f65q4t1p/gterwa
title: Mainwaring-Perez-Linan_CUB.pdf
DOI: 10.5064/f65q4t1p/ox5cse
title: Mainwaring-Perez-Linan_DOM.pdf
DOI: 10.5064/f65q4t1p/e3oq7w
title: Mainwaring-Perez-Linan_ECU.pdf
DOI: 10.5064/f65q4t1p/tccimg
title: Mainwaring-Perez-Linan_HND.pdf
DOI: 10.5064/f65q4t1p/vnqnrj
title: Mainwaring-Perez-Linan_GTM.pdf
DOI: 10.5064/f65q4t1p/tllgrf
title: Mainwaring-Perez-Linan_HTI.pdf
DOI: 10.5064/f65q4t1p/kvk2cl
title: Mainwaring-Perez-Linan_MEX.pdf
DOI: 10.5064/f65q4t1p/acfyyv
title: Mainwaring-Perez-Linan_NIC.pdf
DOI: 10.5064/f65q4t1p/80v37y
title: Mainwaring-Perez-Linan_PAN.pdf
DOI: 10.5064/f65q4t1p/fmdxxp
title: Mainwaring-Perez-Linan_PER.pdf
DOI: 10.5064/f65q4t1p/hfiz99
title: Mainwaring-Perez-Linan_PRY.pdf
DOI: 10.5064/f65q4t1p/vl98kf
title: Mainwaring-Perez-Linan_SLV.pdf
DOI: 10.5064/f65q4t1p/usur2a
title: Mainwaring-Perez-Linan_URY.pdf
DOI: 10.5064/f65q4t1p/pnd4md
title: Mainwaring-Perez-Linan_VEN.pdf
DOI: 10.5281/zenodo.13736819
title: Violin MIDI Dataset

description: Violin MIDI Transcription Dataset from High-Resolution Violin Transcription using Weak Labels

Description

Overview

A descriptive transcription of a violin performance requires detecting not only the notes but also the fine-grained pitch variations, such as vibrato. Most existing deep learning methods for music transcription do not capture these variations and often need frame-level annotations, which are scarce for the violin. To enable the development of transcription methods tailored for the analysis of violin performances, this dataset includes MIDI files aligned to violin performances with 5.8 ms frame resolution and 10-cent frequency resolution, and includes pitch bends that represent fine-grained deviations such as vibrato and intonation choice.

Dataset Creation

The dataset consists of performances of three violin etude books by 22 violinists. The etude books included are:



Paganini, Op. 1

Wohlfahrt, Op. 35

Kayser, Op. 20


The original MIDI files pre-alignment are sourced from IMSLP and MuseScore (published under Creative Commons license). In the dataset, we provide these open-source MIDI files after they are aligned with the performance links from YouTube. Notably, each MIDI file includes pitch bends to offer a more realistic representation of the expressive performances, and to facilitate intonation analysis for pedagogical applications. The filenames are structured to include reconstructable links to the performances:

{composer}_{catalog_number}_{performer}_{YouTube_ID}-{YouTube_start_sec}-{YouTube_end_sec}.mid

Contributions and Findings

We target the task of descriptive violin transcription with pitch bends, and demonstrate that our method (1) outperforms generic systems in the proxy tasks of violin transcription and pitch estimation, and (2) can automatically generate new training labels by aligning its feature representations with unseen scores. Additionally, we share our model along with 34 hours of score-aligned solo violin performance dataset, notably including the 24 Paganini Caprices.

Citation

If you find this dataset useful, please cite the following paper:



Nazif Can Tamer, Yigitcan Özer, Meinard Müller, Xavier Serra, “High-Resolution Violin Transcription using Weak Labels”, in Proc. of the 24th Int. Society for Music Information Retrieval Conf., Milan, Italy, 2023.


@inproceedings{tamer2023high,  title={High-Resolution Violin Transcription Using Weak Labels},  author={Tamer, Nazif Can and {\"O}zer, Yigitcan and M{\"u}ller, Meinard and Serra, Xavier},  booktitle={International Society for Music Information Retrieval Conference (ISMIR)},  year={2023}}
DOI: 10.5281/zenodo.13736820
title: Violin MIDI Dataset

description: Violin MIDI Transcription Dataset from High-Resolution Violin Transcription using Weak Labels

Description

Overview

A descriptive transcription of a violin performance requires detecting not only the notes but also the fine-grained pitch variations, such as vibrato. Most existing deep learning methods for music transcription do not capture these variations and often need frame-level annotations, which are scarce for the violin. To enable the development of transcription methods tailored for the analysis of violin performances, this dataset includes MIDI files aligned to violin performances with 5.8 ms frame resolution and 10-cent frequency resolution, and includes pitch bends that represent fine-grained deviations such as vibrato and intonation choice.

Dataset Creation

The dataset consists of performances of three violin etude books by 22 violinists. The etude books included are:



Paganini, Op. 1

Wohlfahrt, Op. 35

Kayser, Op. 20


The original MIDI files pre-alignment are sourced from IMSLP and MuseScore (published under Creative Commons license). In the dataset, we provide these open-source MIDI files after they are aligned with the performance links from YouTube. Notably, each MIDI file includes pitch bends to offer a more realistic representation of the expressive performances, and to facilitate intonation analysis for pedagogical applications. The filenames are structured to include reconstructable links to the performances:

{composer}_{catalog_number}_{performer}_{YouTube_ID}-{YouTube_start_sec}-{YouTube_end_sec}.mid

Contributions and Findings

We target the task of descriptive violin transcription with pitch bends, and demonstrate that our method (1) outperforms generic systems in the proxy tasks of violin transcription and pitch estimation, and (2) can automatically generate new training labels by aligning its feature representations with unseen scores. Additionally, we share our model along with 34 hours of score-aligned solo violin performance dataset, notably including the 24 Paganini Caprices.

Citation

If you find this dataset useful, please cite the following paper:



Nazif Can Tamer, Yigitcan Özer, Meinard Müller, Xavier Serra, “High-Resolution Violin Transcription using Weak Labels”, in Proc. of the 24th Int. Society for Music Information Retrieval Conf., Milan, Italy, 2023.


@inproceedings{tamer2023high,  title={High-Resolution Violin Transcription Using Weak Labels},  author={Tamer, Nazif Can and {\"O}zer, Yigitcan and M{\"u}ller, Meinard and Serra, Xavier},  booktitle={International Society for Music Information Retrieval Conference (ISMIR)},  year={2023}}
DOI: 10.15468/dl.6dyssu
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cynometra alexandri C.H.Wright)"
 ]
}

 The dataset includes 344 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019706-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezwdr4
title: Occurrence Download

description: A dataset containing 700149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Observation.org, Nature data from around the World, INPN - Données flore des CBN agrégées par la FCBN, Pl@ntNet automatically identified occurrences, Botanical Database of Southern Africa (BODATSA): Botanical Collections, BSBI data from several English counties, up to 2018, iNaturalist Research-grade Observations, Dutch Vegetation Database, The Danish Environmental Portal, species and habitats-database \"Danmarks Miljøportals Naturdatabase\", Artportalen, Royal Botanic Gardens, Kew - Herbarium Specimens)",
 "TaxonKey is Iridaceae"
 ]
}

 The dataset includes 700149 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019641-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu4qqt
title: Occurrence Download

description: A dataset containing 132468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is one of (Vespa velutina Lepeletier, 1836, Vespa velutina floresiana Vecht, 1957, Vespa velutina divergens Perkins, 1910, Vespa velutina timorensis Vecht, 1957, Vespa velutina variana Vecht, 1957, Vespa velutina celebensis Perkins, 1910, Vespa velutina mediozonalis Perkins, 1910, Vespa velutina velutina, Vespa velutina flavitarsus Sonan, 1939, Vespa velutina nigrithorax Buysson, 1905)"
 ]
}

 The dataset includes 132468 records from 820 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019668-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwwvzc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Doronicum conaense Y.L.Chen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033289-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.123c9b
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données \"faune\" de l'AVEN du Grand-Voyeux pour le SINP île de France"
 ]
}

 The dataset includes 1048 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023006-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgypzf
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dimorphospora Tubaki"
 ]
}

 The dataset includes 82 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0421938-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89xs4p
title: Occurrence Download

description: A dataset containing 2428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fouquieria Kunth"
 ]
}

 The dataset includes 2428 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133518-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ulauvi
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données du/de la naturaliste Cantard Timothée provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 257 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022980-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8j4sc9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropiduridae",
 "DecimalLongitude is greater than or equal to -100.613090999497",
 "DecimalLongitude is less than or equal to -98.5968666597463",
 "DecimalLatitude is greater than or equal to 20.285866660291",
 "DecimalLatitude is less than or equal to 18.3669428806059"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133517-230224095556074/datasets/export for details.
DOI: 10.15468/dl.mc65xv
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chirostoma estor Jordan, 1880"
 ]
}

 The dataset includes 110 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281363-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z72c83
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermidae",
 "DecimalLongitude is greater than or equal to -100.613090999497",
 "DecimalLongitude is less than or equal to -98.5968666597463",
 "DecimalLatitude is greater than or equal to 20.285866660291",
 "DecimalLatitude is less than or equal to 18.3669428806059"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133530-230224095556074/datasets/export for details.
DOI: 10.15468/dl.pthyvy
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is TRANSMED cétacés - Données Cétacés Transmed"
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023028-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdt7ze
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kengyilia kokonorica (Keng) J.L.Yang, C.Yen & B.R.Baum"
 ]
}

 The dataset includes 41 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273009-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.