cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.gcch.qdqm
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/964chrdk38.1
title: LINF_360059000

description: 2OG-Fe(II) oxygenase superfamily
Leishmania infantum (strain JPCM5)
DOI: 10.7483/opendata.cms.6ekc.q6is
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/yytybr3t4y.1
title: Metabolomics dataset of 44 Propionibacterium freudenreichii for Scoary2

description: 44 yogurts were produced, each by combining a different (sequenced) Propionibacterium freudenreichii strain with the same starter culture (Yoflex® YC-381). The metabolomes of these yogurts were measured using liquid chromatography MS (LC-MS) and gas chromatography MS (GC-MS), the latter measuring the yogurt’s volatile metabolites (volatiles). The aim of this study was to investigate the effect of the pan-genome of the added bacterial strains on the phenotype of the yogurts. We discovered two genes affecting carnitine metabolism.

This data was analyzed using Scoary2: https://github.com/MrTomRod/scoary-2/wiki/Output#example-output

File descriptions:
- traits_44_noraw.tsv: corrected and filtered metabolomics data. Includes lc-ms as well as gc-ms volatiles data
- traits_info_44_noraw.tsv: metadata about the measured metabolites, e.g. m/z, retention times, descriptions, putative HMDB IDs, etc.
- isolate_info_44.tsv: links each sample to its species, in this case, all samples are Propionibacterium freudenreichii.
- N0.tsv: a list of Hierarchical Orthogroups (HOGs) that groups orthologous genes together. It was created using OrthoFinder v2.5.4 based on protein FASTA files.
- N0_best_names.tsv: maps each HOG to a putative description
DOI: 10.7483/opendata.cms.ta8w.i5jz
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.jjz6.c3t2
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/f8w3hxyvnj.1
title: LINF_270013100

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/r8st928xrz.1
title: LINF_270012100

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.7483/opendata.cms.uf1y.x93t
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/2nmr2cz9yy.2
title: Datasets for "Multiscalar 3D-temporal structural characterisation of Smøla Island, Mid-Norwegian passive margin" Authored by Hodge et al.

description: A repository of support datasets for "Multiscalar 3D-temporal structural characterisation of Smøla Island, Mid-Norwegian passive margin: an analogue for unravelling the tectonic history of offshore basement highs", authored by: Hodge et al. originally submitted 2023, resubmitted 2024 - Solid Earth
DOI: 10.7483/opendata.cms.orc2.drge
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/xd4njjngpn.2
title: Ligand-Target Interaction Diagrammes: Baicalein Analogues as SARS-CoV-2 Main Protease (Mpro) Inhibitors

description: Ligand-Target Interaction Diagrammes generated based on the Glide HTVS/SP/XP Molecular Docking-based Virtual Screening Hits of Baicalein Analogues as SARS-CoV-2 Main Protease (Mpro) Inhibitors.
DOI: 10.17632/kpykg33xxh.1
title: LINF_270013500

description: NADH-ubiquinone oxidoreductase complex I subunit | NDUFS7 ortholog; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cjb4vy4mzj.1
title: Smart irrigation control system data with soil moisture, flow meter and electrovalve relay

description: This data set contains measurements of soil moisture, a flow meter, and the relay status of an electrovalve deployed in a smart irrigation control system. The system has been working succesfully for over two months in a strawberry field in production in Paraguay, 2022. The details of the experiments have been sent as a possible publication to the Agricultural Water Management Journal, under the title Deployment of a smart irrigation control system with capacity-based moisture sensors on a field in production, by L. Orihuela, E. Pacheco, J. Bareiro, A. Tapia and J.M. Manzano.

Data collected from July 1st 2022 until September 20th 2022 is presented. Three data sets are provided, in a CSV format, namely D_moisture, D_valve and D_flowmeter. The three of them contain 2 columns each, and each row is a new measurement collected from the field. In the three of them, the first column, named 't' refers to the time stamp of the measurement, in format 'DD-MMM-YYYY hh:mm:ss', expressed in UTC coordinates. The second column indicates the measurement itself, them being:

- In D_moisture: the measured soil moisture, measured as a percentage and collected as explained in the mentioned paper. The sampling time is about 20 minutes. It contains 6345 rows.
- In D_flowmeter: the cumulative sum of the water volume that has been applied to the field, as measured by the flow meter installed, measured in litres since July 1st 2022. The sampling time is about 5 minutes. It contains 25691 rows.
- In D_valve: the state commanded to the relay incharge of the electrovalve in the irrigation system. 1 implies 'open' and 0 implies 'close'. The sampling time is about 5 minutes. It contains 25708 rows.

The dataset is open to be used by any researcher, in studies related to machine learning, agricultural soil monitoring or estimation and irrigation control, among others. Citing the aforementioned work is appreciated.
DOI: 10.17632/cjb4vy4mzj.2
title: Smart irrigation control system data with soil moisture, flow meter and electrovalve relay

description: This data set contains measurements of soil moisture, a flow meter, and the relay status of an electrovalve deployed in a smart irrigation control system. The system has been working succesfully for over two months in a strawberry field in production in Paraguay, 2022. The details of the experiments have been sent as a possible publication to the Agricultural Water Management Journal, under the title Deployment of a smart irrigation control system with capacity-based moisture sensors on a field in production, by L. Orihuela, E. Pacheco, J. Bareiro, A. Tapia and J.M. Manzano.

Data collected from July 1st 2022 until September 20th 2022 is presented. Three data sets are provided, in a CSV format, namely D_moisture, D_valve and D_flowmeter. The three of them contain 2 columns each, and each row is a new measurement collected from the field. In the three of them, the first column, named 't' refers to the time stamp of the measurement, in format 'DD-MMM-YYYY hh:mm:ss', expressed in UTC coordinates. The second column indicates the measurement itself, them being:

- In D_moisture: the measured soil moisture, measured as a percentage and collected as explained in the mentioned paper. The sampling time is about 20 minutes. It contains 6345 rows.
- In D_flowmeter: the cumulative sum of the water volume that has been applied to the field, as measured by the flow meter installed, measured in litres since July 1st 2022. The sampling time is about 5 minutes. It contains 25691 rows.
- In D_valve: the state commanded to the relay incharge of the electrovalve in the irrigation system. 1 implies 'open' and 0 implies 'close'. The sampling time is about 5 minutes. It contains 25708 rows.

The dataset is open to be used by any researcher, in studies related to machine learning, agricultural soil monitoring or estimation and irrigation control, among others. Citing the aforementioned work is appreciated.
DOI: 10.7483/opendata.cms.gbig.w1mb
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.rv2l.hwqk
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ah7t.l728
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/hp5wr9hy8p.1
title: Medium Altitude Long Endurance (MALE) Propulsion System Experimental Data

description: All the data have been taken from 2 types of data acquisition tools. The first is through data acquisition (DAQ), and the second is through the Engine Management Unit. The Thrust data was taken via DAQ-9185. Meanwhile, Ambient Temperature, Ambient Pressure , Throttle Position ,Propeller Rotation, Fuel Pressure , Fuel Flow Rate , Airflow , Manifold Air Pressure , Exhaust Gas Temperature and Cylinder Head Temperature , are taken by EMU. The propeller RPM is calculated from the engine RPM using a reduction gear with a ratio of 2.54.
DOI: 10.17632/j3d64mnz6x.1
title: LINF_360060400

description: Casein kinase II subunit beta | CKB1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/wg6v2v5yrg.1
title: Dataset of P- and S-wave Velocity Structures in Japan

description: This dataset includes mainly P- and S-wave velocity structures derived using diffuse field concept for earthquakes at 1744 K-NET and KiK-net sites. Additionally, we include the peak fundamental and predominant frequencies and the associated correlation coefficients and residuals between the observed and theoretical horizontal-to-vertical spectral ratios for earthquakes. This dataset could be used to detect the effective bedrock depths, as well as to estimate the site amplification factors.
DOI: 10.5281/zenodo.14677533
title: Global surface water quality datasets from 2005-2100 under uncertain climate and socio-economic change, derived from the dynamical surface water quality model (DynQual) at 30 arcmin spatial resolution

description: Global ~50km (30 arcmin) surface water quality data from the dynamical surface water quality model (DynQual) from 2005-2100, with annual and monthly temporal resolution. Simulations are made under three combined climate and socio-economic scenarios (SSP1-RCP2.6; SSP3-RCP7.0 and SSP5-RCP8.5) and using five general circulation model (GFDL-ESM4; UKESM1-0-LL; MPI-ESM1-2-hr; IPSL-CM6A-LR and MRI-ESM2-0), following the ISIMIP3b protocol (https://protocol.isimip.org/#/ISIMIP3b).

Output data includes:



Salinity; as indicated by total dissolved solids (TDS) concentrations (mg l-1)

Organic pollution; as indicated by biological oxygen demand (BOD) concentrations (mg l-1)

Pathogen/bacterial pollution; as indicated by fecal coliform (FC) concentrations (cfu 100ml-1)


Simulations were originally made at 5-arcmin resolution and aggregated to 30 arcmin (0.5 degree) by summing the in-stream (routed) loadings and channel storage over the aggregated area (at monthly and annual timesteps), and subsequently calculating in-stream concentrations. Please note the aggregation technique is provisional and thus the data is subject to change.

Note. A minimum discharge threshold of 0.1 m3 s-1 was used when computing TDS, BOD and FC concentrations, as uncertainties in absolute values of water availabilities have large impacts on resulting in-stream concentrations. Concentrations in these gridcells are assigned as NA.

Hydrology and water quality simulations made at DynQuals native spatial resolution (5 arcmin), aggregated over WorldClim time periods, can be found at: https://zenodo.org/records/14677665. Full time series of variables are also avaliable on request; but please note (due to the large file sizes involved), you will have to retrieve these yourself over a server.
DOI: 10.5281/zenodo.14677534
title: Global surface water quality datasets from 2005-2100 under uncertain climate and socio-economic change, derived from the dynamical surface water quality model (DynQual) at 30 arcmin spatial resolution

description: Global ~50km (30 arcmin) surface water quality data from the dynamical surface water quality model (DynQual) from 2005-2100, with annual and monthly temporal resolution. Simulations are made under three combined climate and socio-economic scenarios (SSP1-RCP2.6; SSP3-RCP7.0 and SSP5-RCP8.5) and using five general circulation model (GFDL-ESM4; UKESM1-0-LL; MPI-ESM1-2-hr; IPSL-CM6A-LR and MRI-ESM2-0), following the ISIMIP3b protocol (https://protocol.isimip.org/#/ISIMIP3b).

Output data includes:



Salinity; as indicated by total dissolved solids (TDS) concentrations (mg l-1)

Organic pollution; as indicated by biological oxygen demand (BOD) concentrations (mg l-1)

Pathogen/bacterial pollution; as indicated by fecal coliform (FC) concentrations (cfu 100ml-1)


Simulations were originally made at 5-arcmin resolution and aggregated to 30 arcmin (0.5 degree) by summing the in-stream (routed) loadings and channel storage over the aggregated area (at monthly and annual timesteps), and subsequently calculating in-stream concentrations. Please note the aggregation technique is provisional and thus the data is subject to change.

Note. A minimum discharge threshold of 0.1 m3 s-1 was used when computing TDS, BOD and FC concentrations, as uncertainties in absolute values of water availabilities have large impacts on resulting in-stream concentrations. Concentrations in these gridcells are assigned as NA.

Hydrology and water quality simulations made at DynQuals native spatial resolution (5 arcmin), aggregated over WorldClim time periods, can be found at: https://zenodo.org/records/14677665. Full time series of variables are also avaliable on request; but please note (due to the large file sizes involved), you will have to retrieve these yourself over a server.
DOI: 10.7483/opendata.cms.r7p1.zxu2
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/kbfh73gmty.1
title: LINF_360061200

description: vacuolar protein sorting-associated protein-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.7483/opendata.cms.txsd.2wcw
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/z8yy3vmsv3.1
title: LDHU3_05.0820

description: Protein of unknown function – conserved; Leishmania donovani (HU3 strain)
DOI: 10.7483/opendata.cms.pu2a.fxqw
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-60_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/czxfsnzgxx
title: Original data for PCR and figure ploting in 517 cotton HT tolerance research by HZAU

description: Original Figures and Tables related to the main text and FigureS
DOI: 10.17632/czxfsnzgxx.1
title: Original data for PCR and figure ploting in 517 cotton HT tolerance research by HZAU

description: Original Figures and Tables related to the main text and FigureS
DOI: 10.7483/opendata.cms.anm9.f24l
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/9mjd9xwdhg.1
title: LINF_360061300

description: aldehyde dehydrogenase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/kvyh9k9jhj.1
title: LDHU3_05.0910

description: Armadillo repeat-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.6084/m9.figshare.28228757
title: deep learning data and results

description: Data and results for the deep learning experiments
DOI: 10.17632/wg4dmwddjy.2
title: Tailorable through-thickness fibre reinforcement in CFRP laminates with AFP via Repeated Segment Stacking

description: Composite laminates are vulnerable to delamination failure between the plies. With the increased usage of Automated Fibre Placement (AFP) to manufacture composites it is important to develop delamination mitigation strategies which are compatible with AFP manufacture. In this work we highlight the strategy of segmenting plies and stacking segment-by-segment via AFP, rather than ply-by-ply, to provide interlocks which resist delamination. We develop a novel category of segmented ply laminates, `Repeated Segment Stacking (RSS)’, to create significant through-thickness fibre reinforcements throughout the laminate thickness with AFP. We demonstrate successful AFP prototyping of the RSS mesostructures, including the ability to control the fibre undulation geometry. Our results show that low amplitude designs provide reinforcement across all horizontal planes whilst not significantly compromising in-plane performance, whilst increased amplitude designs mimic the impact resistant Herringbone structure of the Mantis shrimp’s dactyl club. Experimental testing to HVI, LVI, and CAI reveals the RSS designs reduce the delamination footprint and can contain damage at undulation boundaries. This first investigation of these original concepts demonstrates that the proposed RSS concept provides a promising development route for AFP-manufactured delamination resistant CFRP structures.

This repository contains raw data from the HVI, LVI & CAI tests and c-scan data post impact.
DOI: 10.5281/zenodo.14678754
title: Datasets for "Principles of Spatial (Transcript)omics Analysis with Bioconductor"

description: Example spatial transcriptomics dataset. Primary source for this data is:

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM7782699
DOI: 10.5281/zenodo.14678755
title: Datasets for "Principles of Spatial (Transcript)omics Analysis with Bioconductor"

description: Example spatial transcriptomics dataset. Primary source for this data is:

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM7782699
DOI: 10.7483/opendata.cms.jzwm.c7tk
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-70_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ctsw.thk1
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.lydv.ffya
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-80_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.478n.p9ck
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.946v.k7vw
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-500_MY-90_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.tcgy.a0or
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.v8mt.gsm3
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-100_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.4i1e.mdfj
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.3l2u.t9v8
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-125_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.48510/fk2/ot42pp
title: Assessing changes in running kinematics at different intensities: a case study

description: The dataset in this research publication focuses on analyzing changes in running kinematics at different intensities in a controlled case study involving three male runners with similar athletic capabilities. The purpose is to evaluate individual variations in kinematic parameters such as step length, step frequency, contact time, and flight time, as well as physiological responses like heart rate, across a range of running velocities (12–20 km/h).

The dataset includes:
1. Kinematic Data: Step length, step frequency, contact time, and flight time, collected separately for both legs during treadmill runs.
2. Physiological Data: Heart rate was measured continuously during the whole running time.

Methods of Collection:
Running Trials: Nine 1-minute trials at randomized velocities on a motorized treadmill with a leveled surface.
Measurement Tool:
Kinematics: OptoJump Next optical system for step and time measurements at a 1 kHz sampling rate.
Heart Rate: Polar Vantage V heart rate monitor.
description: MS Excel, latest version available at the time
description: RStudio, latest version available at the time
DOI: 10.6084/m9.figshare.26528110
title: File_S9_SpeciesTrees

description: This dataset include all species trees made by Asteroid and Concatenation (ortholog selection included in EukPhylo), for the 500 conserved OG in EukPhylo study, at each step of the Contamination Loop; with Alignment, Trees, Colored Trees, and PDFs.
DOI: 10.7483/opendata.cms.iyz9.ubd6
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.6084/m9.figshare.26528110.v1
title: Dataset_S23_SpeciesTrees

description: This dataset include all species trees made by Asteroid and Concatenation (ortholog selection included in PhyloToL), for the 500 conserved OG in PhyloToL study, at each step of the Contamination Loop; with Alignment, Trees, Colored Trees, and PDFs.
DOI: 10.7483/opendata.cms.2dnn.1rdz
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-150_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.ntv64f
title: Occurrence Download

description: A dataset containing 4203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scomberomorus commerson (Lacepède, 1800)"
 ]
}

 The dataset includes 4203 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000175-250117103327516/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.t7wh.4teq
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.wsz4.behp
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-250_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.og8q.2mpx
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.7gnw.2wf2
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-300_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/m8dkyssk58.1
title: Data on Irrigation Governance of Water Usage Association Based on Geolocation and Irrigation Networks: Case Study on a Irrigation District in East Java, Indonesia

description: The datasets mainly comprised in two datasets including questionnaire dataset dan spatial dataset. The questionnaire dataset gathered from field survey related to irrigation management of Water Usage Association (WUA). Field survey dataset also consist geo-location in a form of coordinate marking denoted location for each WUA. The spatial datasets consists of shapefiles which denoted the location or spatial aspects of irrigation structures in Talang irrigation district. Both datasets had interoperability purposed which mean making a joined-dataset is possible among those datasets.
DOI: 10.7483/opendata.cms.c30u.o0jv
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.17632/yv6m3dyxhn.1
title: LDHU3_05.0930

description: Hypothetical protein – conserved; Leishmania donovani (HU3 strain)
DOI: 10.7483/opendata.cms.e0w3.v5r0
title: /NMSSM_XToYHTo2G2WTo2G4Q_MX-600_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM