cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14470/k47560642124
title: Klyuchevskoy volcanic group experiment (KISS)

description: The KISS network was installed in the frame of the "Klyuchevskoy Investigation - Seismic Structure of an extraordinary volcanic system" project and recorded data between summer 2015 and summer 2016 in one of the world's largest clusters of subduction volcanoes - the Klyuchevskoy volcanic group (KVG). It is located in eastern Russia at the northern end of the Kuril-Kamchatka subduction zone close to its intersection with the Aleutian arc and the north-western termination of Hawaii-Emperor seamount chain. Additional to the 4700m high Mount Klyuchevskoy the KVG contains 12 other volcanoes that have together erupted about 1 cubic meter rock per second averaged over the past 10,000 years. Among those Klyuchevskoy, Bezymianny and Tolbachik were the most active ones during the last decades with eruptions styles ranging from explosive to Hawaiian-type. The KISS experiment is designed to investigate the volcanic and seismic processes and its structural setting in the KVG. The network covers a circular region of about 80km diameter with some linear extensions. It includes data from 77 temporary seismic stations with broadband and short period sensors that were installed on concrete plates in about 60cm deep holes. Due to the local conditions the stations were battery powered and could not be serviced during the experiment. GPS reception of the digitizers was not continuous at all stations due to thick snow cover and vegetation.
DOI: 10.5281/zenodo.17977713
title: dataset
DOI: 10.5281/zenodo.17977712
title: dataset
DOI: 10.15468/dl.zg58ut
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Volachlamys sinomarina, Chlamys ambiguus, Chlamys sinomarina, Pecten ambiguus, Pecten sinomarinus)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058521-251120083545085/datasets/export for details.
DOI: 10.15468/dl.s44y28
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dodonaea coriacea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 519 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058520-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/elzk4d
title: PAN-00105141 - coin/coin-related, Constantinus I en zonen (306-361), naar, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105141&lt;/p&gt;
description: Modified: 2025-06-02T05:52:56+02:00
DOI: 10.17026/dans-2a9-krea
title: PAN-00121182 - terra sigillata plate type Drag. 32

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00121182&lt;/p&gt;
description: Modified: 2025-09-15T18:26:04+02:00
DOI: 10.71819/uwikgc
title: FURG | Amostragem de crustáceos decápodes na Lagoa dos Patos - RS entre os anos de 2022-2023

description: Estes dados provêm de coletas mensais realizadas entre março de 2022 e fevereiro de 2023. O objetivo da amostragem foi capturar espécies de crustáceos em todo o gradiente de salinidade da Lagoa dos Patos, RS. Um total de 11 espécies de siris e caranguejos foram coletadas durante o período de estudo.
DOI: 10.5281/zenodo.17977940
title: АСПЕКТЫ ПОЛУЧЕНИЯ И ИСПОЛЬЗОВАНИЯ ГЕТЕРОИММУННЫХ СЫВОРОТОК АНТИ-О В СУДЕБНОЙ МЕДИЦИНЕ

description: Судебно-медицинское исследование вещественных доказательств биологического происхождения имеет большое значение для успешного расследования и раскрытия тяжких преступлений, направленных против личности и здоровья граждан. В настоящее время для выполнения какого-либо вида экспертизы в большинстве судебно-медицинских лабораторий используется отдельная часть исследуемого объекта . При этом экспертами, выполняющими экспертизы, не учитываются потребности и особенности проведения иных видов исследований. Такой подход, может быть, допустим, при наличии биологического материала в достаточном количестве.
DOI: 10.5281/zenodo.17977939
title: АСПЕКТЫ ПОЛУЧЕНИЯ И ИСПОЛЬЗОВАНИЯ ГЕТЕРОИММУННЫХ СЫВОРОТОК АНТИ-О В СУДЕБНОЙ МЕДИЦИНЕ

description: Судебно-медицинское исследование вещественных доказательств биологического происхождения имеет большое значение для успешного расследования и раскрытия тяжких преступлений, направленных против личности и здоровья граждан. В настоящее время для выполнения какого-либо вида экспертизы в большинстве судебно-медицинских лабораторий используется отдельная часть исследуемого объекта . При этом экспертами, выполняющими экспертизы, не учитываются потребности и особенности проведения иных видов исследований. Такой подход, может быть, допустим, при наличии биологического материала в достаточном количестве.
DOI: 10.14470/z6115722
title: MOravia NETwork (MONET)

description: The Seismic Network MONET (MOravia NETwork) is a local network of seismic stations for monitoring of seismic activity in the NE Czech Republic. This region is characterized by regionally anomalous rate of microseismicity, occurence of moderate historical earthquakes and other expressions of geodynamic activity (Nysa-Morava Zone). The current MONET network (upgraded within the CzechGeo/EPOS project) consists of 7 short period stations in the northern and central Moravia operated by Institute of Physics of the Earth MU Brno (IPE): MUVC, ANAC, LIPC, LOSC, SUPC, LUKC and MORC (the latter is colocated with the broadband station MORC). All these stations are equipped with sensitive seismometers seated in 2-5 m deep shafts and provide real-time continuous low-noise records sampled at 200 Hz.
DOI: 10.5281/zenodo.15851302
title: Dynamic-Spacecraft Pose Estimation Dataset (D-SPEED)

description: D-SPEED: A Synthetic Benchmark for Temporal Spacecraft Pose Estimation

D-SPEED is a synthetic dataset designed for deep learning-based relative pose estimation of non-cooperative spacecraft, from both still images and video. It extends prior datasets (SPEED, SPEED+) by introducing temporally coherent video sequences, detailed motion metadata, and high-resolution rendering using Unreal Engine 5.

It contains:





60,000 high-resolution still images of the Tango spacecraft under varied poses and lighting.




21 video sequences (25 FPS, 1500 frames each) covering 11 distinct motion trajectories (e.g., docking, formation flying, inspection), with per-frame ground-truth 6-DoF poses.




Camera intrinsics and predefined train/val/test splits to support reproducible training and evaluation.



Compared to previous datasets, D-SPEED enables the development of temporal pose estimation algorithms through continuous video streams and annotated motion events (e.g., accelerations, camera/satellite motion).

🎥 Teaser video: https://youtu.be/AbIYOj8LuNY

🛠 Companion tools for 2D keypoint and bounding box generation, visualization, ground-truth generation, and basic evaluation workflows are available in the open-source repository:👉 https://github.com/possoj/Spacecraft-Pose-Estimation-Framework

📄 For trajectory metadata, sampling distributions, and details of the video sequence generation process, please refer to the associated paper (under review at IEEE Transactions on Aerospace and Electronic Systems) and the associated PhD thesis.

🎮 Rendering performed by Rexys using their Unreal Engine-based toolchain: https://rexys.io

📝 If you use this dataset, please cite:

[1] Julien Posso, Guy Bois, and Yvon Savaria, Dynamic-Spacecraft Pose Estimation Dataset (D-SPEED), Zenodo, 2025. https://doi.org/10.5281/zenodo.15851302

[2] Julien Posso, Estimation de pose de véhicules spatiaux non coopératifs à partir de réseaux de neurones – De l'image monoculaire à l'implémentation embarquée temps réel et à l'analyse temporelle, PhD thesis, Polytechnique Montréal, 2025. https://publications.polymtl.ca/67849/
DOI: 10.5281/zenodo.15851301
title: Dynamic-Spacecraft Pose Estimation Dataset (D-SPEED)

description: D-SPEED: A Synthetic Benchmark for Temporal Spacecraft Pose Estimation

D-SPEED is a synthetic dataset designed for deep learning-based relative pose estimation of non-cooperative spacecraft, from both still images and video. It extends prior datasets (SPEED, SPEED+) by introducing temporally coherent video sequences, detailed motion metadata, and high-resolution rendering using Unreal Engine 5.

It contains:





60,000 high-resolution still images of the Tango spacecraft under varied poses and lighting.




21 video sequences (25 FPS, 1500 frames each) covering 11 distinct motion trajectories (e.g., docking, formation flying, inspection), with per-frame ground-truth 6-DoF poses.




Camera intrinsics and predefined train/val/test splits to support reproducible training and evaluation.



Compared to previous datasets, D-SPEED enables the development of temporal pose estimation algorithms through continuous video streams and annotated motion events (e.g., accelerations, camera/satellite motion).

🎥 Teaser video: https://youtu.be/AbIYOj8LuNY

🛠 Companion tools for 2D keypoint and bounding box generation, visualization, ground-truth generation, and basic evaluation workflows are available in the open-source repository:👉 https://github.com/possoj/Spacecraft-Pose-Estimation-Framework

📄 For trajectory metadata, sampling distributions, and details of the video sequence generation process, please refer to the associated paper (under review at IEEE Transactions on Aerospace and Electronic Systems) and the associated PhD thesis.

🎮 Rendering performed by Rexys using their Unreal Engine-based toolchain: https://rexys.io

📝 If you use this dataset, please cite:

[1] Julien Posso, Guy Bois, and Yvon Savaria, Dynamic-Spacecraft Pose Estimation Dataset (D-SPEED), Zenodo, 2025. https://doi.org/10.5281/zenodo.15851302

[2] Julien Posso, Estimation de pose de véhicules spatiaux non coopératifs à partir de réseaux de neurones – De l'image monoculaire à l'implémentation embarquée temps réel et à l'analyse temporelle, PhD thesis, Polytechnique Montréal, 2025. https://publications.polymtl.ca/67849/
DOI: 10.15468/dl.3w7me8
title: Occurrence Download

description: A dataset containing 1593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dodonaea stenozyga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1593 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058522-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17137240
title: PVT1 lincRNA signals an androgen-dependet transcriptional activation program of oncogenes in prostate cancer cells

description: The results of signals obtained with CUT&RUN for histone marks (H3K4me1,

H3K4me3, H3K27ac and H3K27me3), EZH2 and AR occupancy along the

human genome are available here. Briefly, prostate cancer LNCaP cells were 

treated with androgen analog R1881 or with solvent (EtOH), with or without 

PVT1 knockdown.  The names of the files describe the type of histone mark 

or protein studied, if there is PVT1 knockdown (sg134) or not (ntc), and 

treatment with R1881 or EtOH. For instance, the file AR_sg134_R1881_r1.bw 

corresponds to the bigWig file of a CUT&RUN assay with anti-AR antibody

in cells with PVT1 knockdown treated with androgen analog (R1881) and 

replicate 1.

 

 
description: To upload these tracks:

 

go to UCSC genome browser (https://genome.ucsc.edu/) and use the human genome assembly (hg38).

Click at "My Data" >> "Custom Tracks"

There are two different ways to upload your data:

 

Copy the URL link of the chosen file into the white box and click submit (it can take a few minutes to upload)

        OR

Download the file to your computer 

Click at "Choose File" and upload your downloaded file

Click submit
DOI: 10.5281/zenodo.17911851
title: PVT1 lincRNA signals an androgen-dependet transcriptional activation program of oncogenes in prostate cancer cells

description: The results of signals obtained with CUT&RUN for histone marks (H3K4me1,

H3K4me3, H3K27ac and H3K27me3), EZH2 and AR occupancy along the

human genome are available here. Briefly, prostate cancer LNCaP cells were 

treated with androgen analog R1881 or with solvent (EtOH), with or without 

PVT1 knockdown.  The names of the files describe the type of histone mark 

or protein studied, if there is PVT1 knockdown (sg134) or not (ntc), and 

treatment with R1881 or EtOH. For instance, the file AR_sg134_R1881_r1.bw 

corresponds to the bigWig file of a CUT&RUN assay with anti-AR antibody

in cells with PVT1 knockdown treated with androgen analog (R1881) and 

replicate 1.

 

 
description: To upload these tracks:

 

go to UCSC genome browser (https://genome.ucsc.edu/) and use the human genome assembly (hg38).

Click at "My Data" >> "Custom Tracks"

There are two different ways to upload your data:

 

Copy the URL link of the chosen file into the white box and click submit (it can take a few minutes to upload)

        OR

Download the file to your computer 

Click at "Choose File" and upload your downloaded file

Click submit
DOI: 10.15468/dl.uuaek3
title: Occurrence Download

description: A dataset containing 83502820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Branta hutchinsii, Branta leucopsis, Branta ruficollis, Branta sandvicensis, Bucephala albeola, Bucephala islandica, Cairina moschata, Callonetta leucophrys, Cereopsis novaehollandiae, Chen caerulescens, Chen canagica, Chen rossii, Chenonetta jubata, Chloephaga melanoptera, Chloephaga picta, Chloephaga poliocephala, Chloephaga rubidiceps, Coscoroba coscoroba, Cyanochen cyanoptera, Cygnus atratus, Cygnus buccinator, Cygnus columbianus, Cygnus cygnus, Cygnus melancoryphus, Cygnus olor, Dendrocygna arborea, Dendrocygna arcuata, Dendrocygna autumnalis, Dendrocygna bicolor, Dendrocygna eytoni, Dendrocygna javanica, Dendrocygna viduata, Heteronetta atricapilla, Histrionicus histrionicus, Lophodytes cucullatus, Lophonetta specularioides, Malacorhynchus membranaceus, Marmaronetta angustirostris, Melanitta perspicillata, Mergus merganser, Neochen jubata, Netta erythrophthalma, Netta peposaca, Netta rufina, Nettapus auritus, Nettapus coromandelianus, Oxyura australis, Oxyura ferruginea, Oxyura jamaicensis, Oxyura leucocephala, Oxyura maccoa, Oxyura vittata, Plectropterus gambensis, Polysticta stelleri, Pteronetta hartlaubii, Sarkidiornis melanotos, Tadorna cana, Tadorna ferruginea, Tadorna radjah, Tadorna tadorna, Tadorna tadornoides, Tadorna variegata, Thalassornis leuconotus, Aerodramus bartschi, Aerodramus vanikorensis, Chaetocercus jourdanii, Florisuga mellivora, Apteryx australis, Apteryx haastii, Apteryx owenii, Anthracoceros malayanus, Buceros bicornis, Bucorvus abyssinicus, Bucorvus leadbeateri, Bycanistes brevis, Phoeniculus purpureus, Rhyticeros undulatus, Tockus deckeni, Tockus nasutus, Podargus strigoides, Casuarius bennetti, Casuarius casuarius, Dromaius novaehollandiae, Actophilornis africanus, Aethia cristatella, Burhinus superciliaris, Charadrius dubius, Chionis albus, Chroicocephalus cirrocephalus, Chroicocephalus hartlaubii, Chroicocephalus novaehollandiae, Cursorius cursor, Glareola ocularis, Himantopus himantopus, Himantopus mexicanus, Jacana jacana, Larus dominicanus, Larus occidentalis, Limosa limosa, Pluvialis apricaria, Pluvialis squatarola, Pluvianus aegyptius, Scolopax minor, Turnix nigricollis, Turnix varius, Vanellus armatus, Vanellus chilensis, Vanellus miles, Vanellus senegallus, Vanellus spinosus, Vanellus vanellus, Anastomus lamelligerus, Ciconia abdimii, Ciconia boyciana, Ciconia ciconia, Ciconia episcopus, Ciconia nigra, Ephippiorhynchus asiaticus, Ephippiorhynchus senegalensis, Leptoptilos crumeniferus, Mycteria cinerea, Mycteria ibis, Mycteria leucocephala, Colius striatus, Caloenas nicobarica, Chalcophaps indica, Columba guinea, Columba livia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 83502820 records from 7049 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058476-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/xpp6-xh70
title: Reanalysis of Hot-Saturn WASP-96b’s JWST, Hubble, VLT, and Spitzer Transmission Spectrum Reveals a Clear Atmosphere, Sodium Limb Asymmetry, and Formation History
DOI: 10.15468/dl.5jpnm6
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola atuntsuensis (Praeger) S.H.Fu"
 ]
}

 The dataset includes 111 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102680-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74rwuh
title: Occurrence Download

description: A dataset containing 10628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliophila Burm.f. ex L."
 ]
}

 The dataset includes 10628 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201898-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8hkax
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-94.07389 12.50502,-85.73627 12.50502,-85.73627 20.71601,-94.07389 20.71601,-94.07389 12.50502))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pharomachrus mocinno La Llave, 1832"
 ]
}

 The dataset includes 259 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069609-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf2kgx
title: Occurrence Download

description: A dataset containing 34958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.93455 51.64054,-8.18131 50.43515,-5.94301 52.12152,-5.05586 54.38749,-6.15678 55.45634,-7.28977 55.49909,-10.17567 55.12499,-10.93455 51.64054))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plecoptera"
 ]
}

 The dataset includes 34958 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104010-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2wmjq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America)",
 "Year is greater than or equal to 1900",
 "TaxonKey is Trogoderma granarium Everts, 1898",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070122-220831081235567/datasets/export for details.
DOI: 10.15468/dl.8f4mn3
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida, Liliopsida)",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Geometry MULTIPOLYGON (((66.0621 56.2, 67.26509 56.39012, 66.74272 56.64066, 65.65405 56.58895, 65.51564 56.38871, 66.0621 56.2)))"
 ]
}

 The dataset includes 168 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177451-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2efhj
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gesneria rupincola Urb."
 ]
}

 The dataset includes 67 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104013-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2wc7m
title: Occurrence Download

description: A dataset containing 6800341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6800341 records from 4116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0311131-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.goed.q3r2
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1800_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.oo51.014n
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1800_MY-900_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.90tr.a2fn
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1800_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ilu9.94g3
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1800_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4ons.03fi
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.i5g0.v9yz
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-1000_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.esx2.cz8s
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.cn3z.u61u
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.gv7v.rs64
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.c96l.nwcs
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-1100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.x88i.11x7
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.uu2n.ixm0
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-1200_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.8k37.skgv
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.oavi.2jzg
title: /NMSSM_XToYHTo2Z2BTo2L2J2B_MX-1900_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM