cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/pddrps/44tk0f
title: Gennaio_1937_Pagina_104.jpg

description: Bulletin of 1937/01/26
DOI: 10.13130/rd_unimi/pddrps/ac9jgy
title: Gennaio_1937_Pagina_105.jpg

description: Bulletin of 1937/01/27
DOI: 10.13130/rd_unimi/pddrps/7mdugt
title: Gennaio_1937_Pagina_106.jpg

description: Bulletin of 1937/01/27
DOI: 10.13130/rd_unimi/pddrps/emxcvt
title: Gennaio_1937_Pagina_107.jpg

description: Bulletin of 1937/01/27
DOI: 10.13130/rd_unimi/pddrps/zape8e
title: Gennaio_1937_Pagina_108.jpg

description: Bulletin of 1937/01/27
DOI: 10.13130/rd_unimi/pddrps/tvqoje
title: Gennaio_1937_Pagina_109.jpg

description: Bulletin of 1937/01/28
DOI: 10.13130/rd_unimi/pddrps/cd7cgx
title: Gennaio_1937_Pagina_110.jpg

description: Bulletin of 1937/01/28
DOI: 10.13130/rd_unimi/pddrps/dxi8bx
title: Gennaio_1937_Pagina_111.jpg

description: Bulletin of 1937/01/28
DOI: 10.13130/rd_unimi/pddrps/4phpc5
title: Gennaio_1937_Pagina_112.jpg

description: Bulletin of 1937/01/28
DOI: 10.13130/rd_unimi/pddrps/zljt1r
title: Gennaio_1937_Pagina_113.jpg

description: Bulletin of 1937/01/29
DOI: 10.13130/rd_unimi/pddrps/ecup5b
title: Gennaio_1937_Pagina_114.jpg

description: Bulletin of 1937/01/29
DOI: 10.13130/rd_unimi/pddrps/x1hkhw
title: Gennaio_1937_Pagina_115.jpg

description: Bulletin of 1937/01/29
DOI: 10.13130/rd_unimi/pddrps/zugdle
title: Gennaio_1937_Pagina_116.jpg

description: Bulletin of 1937/01/29
DOI: 10.13130/rd_unimi/pddrps/nb4ka1
title: Gennaio_1937_Pagina_117.jpg

description: Bulletin of 1937/01/30
DOI: 10.13130/rd_unimi/pddrps/znpy8y
title: Gennaio_1937_Pagina_118.jpg

description: Bulletin of 1937/01/30
DOI: 10.13130/rd_unimi/pddrps/zjey1v
title: Gennaio_1937_Pagina_119.jpg

description: Bulletin of 1937/01/30
DOI: 10.13130/rd_unimi/pddrps/zqpdez
title: Gennaio_1937_Pagina_120.jpg

description: Bulletin of 1937/01/30
DOI: 10.13130/rd_unimi/pddrps/hai0r5
title: Gennaio_1937_Pagina_121.jpg

description: Bulletin of 1937/01/31
DOI: 10.13130/rd_unimi/pddrps/eaewz4
title: Gennaio_1937_Pagina_122.jpg

description: Bulletin of 1937/01/31
DOI: 10.13130/rd_unimi/pddrps/xfsqoo
title: Gennaio_1937_Pagina_123.jpg

description: Bulletin of 1937/01/31
DOI: 10.13130/rd_unimi/pddrps/duzjlw
title: Gennaio_1937_Pagina_124.jpg

description: Bulletin of 1937/01/31
DOI: 10.13130/rd_unimi/pddrps/tzsmyd
title: Giugno_1937_Pagina_001.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/wavibw
title: Giugno_1937_Pagina_002.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/xh7fr2
title: Giugno_1937_Pagina_003.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/ykwnav
title: Giugno_1937_Pagina_004.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/mflunt
title: Giugno_1937_Pagina_005.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/stsn9o
title: Giugno_1937_Pagina_006.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/y7dycd
title: Giugno_1937_Pagina_007.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/7nvt3y
title: Giugno_1937_Pagina_008.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/5fvb0b
title: Giugno_1937_Pagina_009.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/lnb95h
title: Giugno_1937_Pagina_010.jpg

description: Bulletin of 1937/06/01
DOI: 10.13130/rd_unimi/pddrps/3ey2nt
title: Giugno_1937_Pagina_011.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/olextb
title: Giugno_1937_Pagina_012.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/3jdlak
title: Giugno_1937_Pagina_013.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/cwuacn
title: Giugno_1937_Pagina_014.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/ypjqw1
title: Giugno_1937_Pagina_015.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/rog4hf
title: Giugno_1937_Pagina_016.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/rlyjdx
title: Giugno_1937_Pagina_017.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/8endxr
title: Giugno_1937_Pagina_018.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/pfkbbt
title: Giugno_1937_Pagina_019.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/rpfmfe
title: Giugno_1937_Pagina_020.jpg

description: Bulletin of 1937/06/02
DOI: 10.13130/rd_unimi/pddrps/kzwo4r
title: Giugno_1937_Pagina_021.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/4fv87n
title: Giugno_1937_Pagina_022.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/vi6iiy
title: Giugno_1937_Pagina_023.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/v14e5b
title: Giugno_1937_Pagina_024.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/hpxseg
title: Giugno_1937_Pagina_025.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/s9a0rr
title: Giugno_1937_Pagina_026.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/ng2pqn
title: Giugno_1937_Pagina_027.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/x8hduc
title: Giugno_1937_Pagina_028.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/ch54tu
title: Giugno_1937_Pagina_029.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/rgymbe
title: Giugno_1937_Pagina_030.jpg

description: Bulletin of 1937/06/03
DOI: 10.13130/rd_unimi/pddrps/kjri3m
title: Giugno_1937_Pagina_031.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/3vtrx9
title: Giugno_1937_Pagina_032.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/ttkeju
title: Giugno_1937_Pagina_033.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/0ikh3m
title: Giugno_1937_Pagina_034.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/sggcdn
title: Giugno_1937_Pagina_035.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/8ljrhj
title: Giugno_1937_Pagina_036.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/1hbmwx
title: Giugno_1937_Pagina_037.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/gfpu8x
title: Giugno_1937_Pagina_038.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/1jmbij
title: Giugno_1937_Pagina_039.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/bqvzo5
title: Giugno_1937_Pagina_040.jpg

description: Bulletin of 1937/06/04
DOI: 10.13130/rd_unimi/pddrps/hhfxyy
title: Giugno_1937_Pagina_041.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/pbu809
title: Giugno_1937_Pagina_042.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/wooymq
title: Giugno_1937_Pagina_043.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/phmeai
title: Giugno_1937_Pagina_044.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/kynjyb
title: Giugno_1937_Pagina_045.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/5pyput
title: Giugno_1937_Pagina_046.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/fsikjw
title: Giugno_1937_Pagina_047.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/xv1ghr
title: Giugno_1937_Pagina_048.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/sicdyc
title: Giugno_1937_Pagina_049.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/drpi0k
title: Giugno_1937_Pagina_050.jpg

description: Bulletin of 1937/06/05
DOI: 10.13130/rd_unimi/pddrps/po6nbm
title: Giugno_1937_Pagina_051.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/tpwju6
title: Giugno_1937_Pagina_052.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/k0mqsf
title: Giugno_1937_Pagina_053.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/ogdbpu
title: Giugno_1937_Pagina_054.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/x3fofq
title: Giugno_1937_Pagina_055.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/rmndcq
title: Giugno_1937_Pagina_056.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/tyduyo
title: Giugno_1937_Pagina_057.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/clj1dc
title: Giugno_1937_Pagina_058.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/cmryv9
title: Giugno_1937_Pagina_059.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/lua06n
title: Giugno_1937_Pagina_060.jpg

description: Bulletin of 1937/06/06
DOI: 10.13130/rd_unimi/pddrps/ifykoq
title: Giugno_1937_Pagina_061.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/qodoca
title: Giugno_1937_Pagina_062.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/przusw
title: Giugno_1937_Pagina_063.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/sppvfz
title: Giugno_1937_Pagina_064.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/0oszeh
title: Giugno_1937_Pagina_065.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/z3ztze
title: Giugno_1937_Pagina_066.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/nop4na
title: Giugno_1937_Pagina_067.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/ulmpt7
title: Giugno_1937_Pagina_068.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/ugy2kj
title: Giugno_1937_Pagina_069.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/xaoxuj
title: Giugno_1937_Pagina_070.jpg

description: Bulletin of 1937/06/07
DOI: 10.13130/rd_unimi/pddrps/wcgdna
title: Giugno_1937_Pagina_071.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/asu0th
title: Giugno_1937_Pagina_072.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/o0hlot
title: Giugno_1937_Pagina_073.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/fl1dyi
title: Giugno_1937_Pagina_074.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/wwbpbf
title: Giugno_1937_Pagina_075.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/05h0gz
title: Giugno_1937_Pagina_076.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/q0tt9p
title: Giugno_1937_Pagina_077.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/m0w2eq
title: Giugno_1937_Pagina_078.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/xfyzqi
title: Giugno_1937_Pagina_079.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/yzppfy
title: Giugno_1937_Pagina_080.jpg

description: Bulletin of 1937/06/08
DOI: 10.13130/rd_unimi/pddrps/2rtfkn
title: Giugno_1937_Pagina_081.jpg

description: Bulletin of 1937/06/09
DOI: 10.13130/rd_unimi/pddrps/xtdffl
title: Giugno_1937_Pagina_082.jpg

description: Bulletin of 1937/06/09
DOI: 10.15468/dl.3msfmc
title: Occurrence Download

description: A dataset containing 861409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 861409 records from 601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011334-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17403580
title: Comparison of Flow Characteristics of Self-Supporting Internal Channel Structures
DOI: 10.5281/zenodo.17732247
title: Comparison of Flow Characteristics of Self-Supporting Internal Channel Structures
DOI: 10.5281/zenodo.17347681
title: The Spheres Dataset

description: The Spheres dataset is a novel multitrack orchestral recording resource designed to advance machine learning research in music source separation and related MIR tasks within the classical music domain. The dataset is composed of musical pieces performed by the Colibrì Ensemble at The Spheres recording studio, capturing two canonical works—Tchaikovsky’s Romeo and Juliet and Mozart’s Symphony No. 40—along with chromatic scales and solo excerpts for each instrument. The recording setup employed 23 microphones, including close spot, main, and ambient microphones, enabling the creation of realistic stereo mixes with controlled bleeding and providing isolated stems for supervised training. In addition, room impulse responses were estimated for each instrument position, offering valuable acoustic characterization of the recording space.

The signals are provided as lossless FLAC files at 48 kHz and structured as in the EnsembleSet and SynthSOD datasets: a folder per music piece, inside them and folder per microphone, and, inside them, an audio file per instrument line. Metadata files in JSON format, similar to the ones included in SynthSOD, are also provided.
description: This repository contains the following files:



TheSpheresDataset-Multichannel: full version of the dataset, with the signals of all the instruments (up to 18 different instruments with up to 33 separated lines) in all the microphones (23) and the stereo mix for the Mozart and Tchaikovsky pieces, and some extracts with scales and solos from every instrument.

TheSpheresDataset-StereoMix: signals of all the instruments (up to 18 different instruments with up to 33 separated lines) in the stereo mixture for the Mozart and Tchaikovsky pieces, and some extracts with scales and solos from every instrument. Extracted from the full version of the dataset and provided separately for those users who might be only interested in the stereo mix but not in the microphone signals.

TheSpheresDataset-RIRs: room impulse responses (RIRs) between the different source positions and microphones computed according to the procedure described in the paper. The RIRs are provided as numpy arrays and plots are also included in PDF format.

TheSpheresDataset-ClapsAndSweeps: raw recordings at every microphone of claps and sweeps generated at every source position. The Python scripts employed to compute the RIRs from these recordings are also included.
DOI: 10.5281/zenodo.17347680
title: The Spheres Dataset

description: The Spheres dataset is a novel multitrack orchestral recording resource designed to advance machine learning research in music source separation and related MIR tasks within the classical music domain. The dataset is composed of musical pieces performed by the Colibrì Ensemble at The Spheres recording studio, capturing two canonical works—Tchaikovsky’s Romeo and Juliet and Mozart’s Symphony No. 40—along with chromatic scales and solo excerpts for each instrument. The recording setup employed 23 microphones, including close spot, main, and ambient microphones, enabling the creation of realistic stereo mixes with controlled bleeding and providing isolated stems for supervised training. In addition, room impulse responses were estimated for each instrument position, offering valuable acoustic characterization of the recording space.

The signals are provided as lossless FLAC files at 48 kHz and structured as in the EnsembleSet and SynthSOD datasets: a folder per music piece, inside them and folder per microphone, and, inside them, an audio file per instrument line. Metadata files in JSON format, similar to the ones included in SynthSOD, are also provided.
description: This repository contains the following files:



TheSpheresDataset-Multichannel: full version of the dataset, with the signals of all the instruments (up to 18 different instruments with up to 33 separated lines) in all the microphones (23) and the stereo mix for the Mozart and Tchaikovsky pieces, and some extracts with scales and solos from every instrument.

TheSpheresDataset-StereoMix: signals of all the instruments (up to 18 different instruments with up to 33 separated lines) in the stereo mixture for the Mozart and Tchaikovsky pieces, and some extracts with scales and solos from every instrument. Extracted from the full version of the dataset and provided separately for those users who might be only interested in the stereo mix but not in the microphone signals.

TheSpheresDataset-RIRs: room impulse responses (RIRs) between the different source positions and microphones computed according to the procedure described in the paper. The RIRs are provided as numpy arrays and plots are also included in PDF format.

TheSpheresDataset-ClapsAndSweeps: raw recordings at every microphone of claps and sweeps generated at every source position. The Python scripts employed to compute the RIRs from these recordings are also included.
DOI: 10.5281/zenodo.17732264
title: AKTIN - Daten zur Aufenthaltsdauer in Notaufnahmen

description: Im Datensatz "AKTIN – Daten zur Aufenthaltsdauer in Notaufnahmen" werden aggregierte Daten der Routinedokumentation aus einer Auswahl deutscher Notaufnahmen aus dem AKTIN-Notaufnahmeregister bereitgestellt. Anhand der Aufenthaltsdauer kann die Belastungssituation von Notaufnahmen abgeschätzt  werden. Dies ermöglicht eine kontinuierliche und transparente Surveillance der Akutversorgungslage in deutschen Notaufnahmen. Dazu werden die aktuellen Daten mit einem Referenzmittelwert verglichen, um die Belastungssituation von Notaufnahmen zu erfassen. Der Datensatz enthält aggregierte Angaben zu Besuchszahlen, mittlerer Aufenthaltsdauer sowie Abweichungen vom Referenzwert.
DOI: 10.6084/m9.figshare.30731045
title: <b>Constrained forest methane sink by thermal adaptation of soil methanotrophs</b>

description: Climate warming can stimulate soil methanotroph-mediated CH<sub>4</sub> oxidation, thereby mitigating the growth in atmospheric CH<sub>4</sub> concentrations in response to anthropogenetic activities. However, the positive response of microbial activity to warming often weakens over time owing to thermal adaptation. Whether soil methanotrophs also show such adaptation in response to warming remains unknown, adding considerable uncertainty into predictions of soil CH<sub>4</sub> sink in a warming world.
DOI: 10.6084/m9.figshare.30731045.v1
title: <b>Constrained forest methane sink by thermal adaptation of soil methanotrophs</b>

description: Climate warming can stimulate soil methanotroph-mediated CH<sub>4</sub> oxidation, thereby mitigating the growth in atmospheric CH<sub>4</sub> concentrations in response to anthropogenetic activities. However, the positive response of microbial activity to warming often weakens over time owing to thermal adaptation. Whether soil methanotrophs also show such adaptation in response to warming remains unknown, adding considerable uncertainty into predictions of soil CH<sub>4</sub> sink in a warming world.
DOI: 10.5281/zenodo.16908831
title: Trend-Aligner: a retention time modeling-based feature alignment method for untargeted LC-MS data analysis

description: The data distributions of evaluation datasets, feature lists, alignment results, manual annotated reference datasets, RAB evaluation results, AUV evaluation results and parameter settings for paper "Trend-Aligner: a retention time modeling-based feature alignment method for untargeted LC-MS data analysis"
DOI: 10.5281/zenodo.17380926
title: Trend-Aligner: a retention time modeling-based feature alignment method for untargeted LC-MS data analysis

description: The data distributions of evaluation datasets, feature lists, alignment results, manual annotated reference datasets, RAB evaluation results, AUV evaluation results and parameter settings for paper "Trend-Aligner: a retention time modeling-based feature alignment method for untargeted LC-MS data analysis"
DOI: 10.5281/zenodo.17732068
title: Dataset for: Comparative domain analysis of vertebrate proteomes identifies a conserved core lineage spanning cartilaginous fish, amphibians, and reptiles
DOI: 10.5281/zenodo.17732207
title: Dataset for: Comparative domain analysis of vertebrate proteomes identifies a conserved core lineage spanning cartilaginous fish, amphibians, and reptiles
DOI: 10.5281/zenodo.17732141
title: MHD Calendar Signs Dataset

description: Dataset contains records of calendar signs for all long count dates and distance numbers on provenienced monuments in the Maya Hieroglyphic Database.
DOI: 10.15468/dl.prfrdj
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Holmskioldia sanguinea"
 ]
}

 The dataset includes 46 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011352-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyq46j
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Censo de picamaderos negro en los Parques Naturales de Álava - Sistema de Información de la Naturaleza de Euskadi"
 ]
}

 The dataset includes 210 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011351-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17727190
title: MHD Rituals Dataset

description: Dataset contains a list of all rituals recorded on provenienced monuments in Classic Mayan language as documented in the Maya Hieroglyphic Database.
DOI: 10.5281/zenodo.17727191
title: MHD Rituals Dataset

description: Dataset contains a list of all rituals recorded on provenienced monuments in Classic Mayan language as documented in the Maya Hieroglyphic Database.
DOI: 10.15468/dl.96m7y3
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrocotyle bonariensis"
 ]
}

 The dataset includes 553 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011354-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17727142
title: MHD Royal Titles Dataset

description: Dataset containing a list of Classic Maya royal titles recorded on provenienced monuments and derived from the Maya Hieroglyphic Database.
DOI: 10.5281/zenodo.17727143
title: MHD Royal Titles Dataset

description: Dataset containing a list of Classic Maya royal titles recorded on provenienced monuments and derived from the Maya Hieroglyphic Database.