cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pfdv2u
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.713815 24.359779, 88.63673300000001 24.354202, 88.56156799999999 24.33761, 88.49019 24.310415, 88.424369 24.273293, 88.365736 24.227167, 88.315737 24.173182, 88.275599 24.112674, 88.246303 24.047143, 88.228554 23.978207, 88.22277200000001 23.907569, 88.22908099999999 23.836968, 88.247305 23.768142, 88.276979 23.702781, 88.317359 23.642489, 88.367442 23.588741, 88.425991 23.542854, 88.49157 23.505947, 88.56257100000001 23.478923, 88.63726 23.46244, 88.713815 23.456901, 88.79037 23.46244, 88.865059 23.478923, 88.93606 23.505947, 89.001639 23.542854, 89.060188 23.588741, 89.110271 23.642489, 89.150651 23.702781, 89.180325 23.768142, 89.198549 23.836968, 89.204858 23.907569, 89.19907600000001 23.978207, 89.181327 24.047143, 89.15203099999999 24.112674, 89.11189299999999 24.173182, 89.061894 24.227167, 89.00326099999999 24.273293, 88.93744 24.310415, 88.866062 24.33761, 88.790897 24.354202, 88.713815 24.359779))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004367-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18334233
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.15468/dl.yjt3yu
title: Occurrence Download

description: A dataset containing 308897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.75209 46.89992,15.0845 46.89992,15.0845 62.20339,-7.75209 62.20339,-7.75209 46.89992))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Halichoerus grypus"
 ]
}

 The dataset includes 308897 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030635-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17591020
title: Datasets of figures of Green solvents and biocatalysis: A bigger picture

description: Datasets of figures of Green solvents and biocatalysis: A bigger picture
DOI: 10.5281/zenodo.17591021
title: Datasets of figures of Green solvents and biocatalysis: A bigger picture

description: Datasets of figures of Green solvents and biocatalysis: A bigger picture
DOI: 10.57967/hf/6990
title: phaenix-1
DOI: 10.6084/m9.figshare.30609290
title: UAV_Panicle

description: UAV;Panicle;Segmentation;images;label
DOI: 10.6084/m9.figshare.30609290.v1
title: UAV_Panicle

description: UAV;Panicle;Segmentation;images;label
DOI: 10.6084/m9.figshare.30609254
title: MAFLD-HIV origin

description: 代谢功能障碍相关脂肪肝HIV患者的肠道菌群和代谢特征
DOI: 10.6084/m9.figshare.30609254.v1
title: MAFLD-HIV origin

description: 代谢功能障碍相关脂肪肝HIV患者的肠道菌群和代谢特征
DOI: 10.5281/zenodo.16950162
title: Supporting data for "StrainMake: reproducible hybrid metagenomics with MAG recovery and strain-level resolution"

description: Main supporting data generated using the StrainMake pipeline (https://github.com/UMMISCO/strainmake) for StrainMake: reproducible hybrid metagenomics with MAG recovery and strain-level resolution.
DOI: 10.5281/zenodo.16950163
title: Supporting data for "StrainMake: reproducible hybrid metagenomics with MAG recovery and strain-level resolution"

description: Main supporting data generated using the StrainMake pipeline (https://github.com/UMMISCO/strainmake) for StrainMake: reproducible hybrid metagenomics with MAG recovery and strain-level resolution.
DOI: 10.15468/dl.pmgzsp
title: Occurrence Download

description: A dataset containing 47682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "TaxonKey is Hydrobates pelagicus"
 ]
}

 The dataset includes 47682 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030672-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vghphc
title: Occurrence Download

description: A dataset containing 2836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((151.59594 40.78644,142.78798 48.03166,135.68483 40.36023,125.88245 30.55786,135.25865 25.01739,151.59594 40.78644))",
 "TaxonKey is Wisteria floribunda"
 ]
}

 The dataset includes 2836 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030676-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5a7z7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.09075 50.65928,8.05747 50.65928,8.83333 50.65928,8.83333 51.61294,7.09075 51.61294,7.09075 50.65928))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Picoides tridactylus",
 "Year 2000-2021"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030677-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h47uhk
title: Occurrence Download

description: A dataset containing 93394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Netherlands, Norway, Denmark)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scomber scombrus"
 ]
}

 The dataset includes 93394 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030620-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17599532
title: Dataset for: Coexistence of Ferroelectricity and Metallicity in Weakly-coupled (SnSe)1.16(NbSe2) Crystal

description: The dataset comprises 4 xslx files.

The "fig1-Excel.xlsx" file contains 3 tables, table "fig1-A" provides XRD intensity of (SnSe)1.16(NbSe2) and NbSe2 crystals; table "fig1-E" provides temperature-dependent resistivity along in-plane and cross-plane; table "fig1-F" provides temperature-dependent carrier density measured by Hall effect along in-plane.

The "fig2-Excel.xlsx" file contains 6 tables, table "fig2-A" provides bias-dependent lateral PFM amplitude and phase hysteretic loops of (SnSe)1.16(NbSe2) measured at 300 K; table "fig2-D" provides SHG spectra of (SnSe)1.16(NbSe2) sheet under various excitation powers; table "fig2-E" provides SHG rotational patterns for parallel and perpendicular polarizations; table "fig2-F" and table "fig2-G" provide temperature-dependent SHG intensity and enthalpy changes of DSC; table "fig2-H" provides comparative survey of various systems with coexisting polarity/ferroelectricity and metallicity.

The "fig3-Excel.xlsx" file contains 3 tables, table "fig3-A" provides STS spectrum of (SnSe)1.16(NbSe2) at 4.2 K; table "fig3-E" provides photon energy dependence of energy distribution curves passing through ARPES cuts along the Γ-Μ direction at k// =0.8 Å^-1^; table "fig3-F" provides Raman spectra of (SnSe)1.16(NbSe2) under 532 nm excitation at 300 K.

The "fig4-Excel.xlsx" file contains 5 tables, table "fig4-B" provides hysteresis I–V loops demonstrating memristive behaviors under different bias sweep ranges; table "fig4-C" provides reversible current switching driven by applying positive and negative voltage pulses of ±0.3 V; table "fig4-D" provides memristive resistance loop measured at a read voltage (Vread) of ~100 mV after applying a stepwise poling voltage pulse; table "fig4-E" provides conductance modulation during potentiation and depression of in-plane ferroelectric memristor via an incremental pulse scheme; table "fig4-F" provides memristive retention characteristics with positive or negative voltage pulses of ±0.5 V pulse.
DOI: 10.5281/zenodo.17599531
title: Dataset for: Coexistence of Ferroelectricity and Metallicity in Weakly-coupled (SnSe)1.16(NbSe2) Crystal

description: The dataset comprises 4 xslx files.

The "fig1-Excel.xlsx" file contains 3 tables, table "fig1-A" provides XRD intensity of (SnSe)1.16(NbSe2) and NbSe2 crystals; table "fig1-E" provides temperature-dependent resistivity along in-plane and cross-plane; table "fig1-F" provides temperature-dependent carrier density measured by Hall effect along in-plane.

The "fig2-Excel.xlsx" file contains 6 tables, table "fig2-A" provides bias-dependent lateral PFM amplitude and phase hysteretic loops of (SnSe)1.16(NbSe2) measured at 300 K; table "fig2-D" provides SHG spectra of (SnSe)1.16(NbSe2) sheet under various excitation powers; table "fig2-E" provides SHG rotational patterns for parallel and perpendicular polarizations; table "fig2-F" and table "fig2-G" provide temperature-dependent SHG intensity and enthalpy changes of DSC; table "fig2-H" provides comparative survey of various systems with coexisting polarity/ferroelectricity and metallicity.

The "fig3-Excel.xlsx" file contains 3 tables, table "fig3-A" provides STS spectrum of (SnSe)1.16(NbSe2) at 4.2 K; table "fig3-E" provides photon energy dependence of energy distribution curves passing through ARPES cuts along the Γ-Μ direction at k// =0.8 Å^-1^; table "fig3-F" provides Raman spectra of (SnSe)1.16(NbSe2) under 532 nm excitation at 300 K.

The "fig4-Excel.xlsx" file contains 5 tables, table "fig4-B" provides hysteresis I–V loops demonstrating memristive behaviors under different bias sweep ranges; table "fig4-C" provides reversible current switching driven by applying positive and negative voltage pulses of ±0.3 V; table "fig4-D" provides memristive resistance loop measured at a read voltage (Vread) of ~100 mV after applying a stepwise poling voltage pulse; table "fig4-E" provides conductance modulation during potentiation and depression of in-plane ferroelectric memristor via an incremental pulse scheme; table "fig4-F" provides memristive retention characteristics with positive or negative voltage pulses of ±0.5 V pulse.
DOI: 10.5281/zenodo.17590846
title: Datasets of figures of Primary and secondary waste in (bio) catalysis: What matters is not what is produced, but what permanently remains!

description: Datasets of figures of Primary and secondary waste in (bio) catalysis: What matters is not what is produced, but what permanently remains!
DOI: 10.5281/zenodo.17590845
title: Datasets of figures of Primary and secondary waste in (bio) catalysis: What matters is not what is produced, but what permanently remains!

description: Datasets of figures of Primary and secondary waste in (bio) catalysis: What matters is not what is produced, but what permanently remains!
DOI: 10.5281/zenodo.7551643
title: Tara Oceans (2009-2013) rDNA 18S V4 ASV table (DADA2) with nf-core/ampliseq 2.13

description: This repository contains datasets describing the DADA2 ASVs generated from Tara Oceans 18S V4 rDNA data. The ASVs were generated using the nf-core workflow ampliseq. Please refer to the readme file (README.html) for more details.
DOI: 10.5281/zenodo.15788880
title: Building Energy Estimation using EPISCOPE heuristic: Barcelona use case

description: This GeoJson dataset contains building-level energy demand estimations for the city of Barcelona, computed using the EPISCOPE heuristic model. The method follows a rule-based approach developed in the IEE EPISCOPE and TABULA projects, which estimates energy performance based on key building parameters such as construction year, type, and geometry (height and footprint).

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.15468/dl.rq7tyc
title: Occurrence Download

description: A dataset containing 1613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((146.06975 33.27136,127.60151 59.9793,81.57294 36.96501,97.48403 32.70309,95.77928 12.81424,119.36181 9.97295,146.06975 33.27136))",
 "TaxonKey is Albizia kalkora"
 ]
}

 The dataset includes 1613 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030681-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15788879
title: Building Energy Estimation using EPISCOPE heuristic: Barcelona use case

description: This GeoJson dataset contains building-level energy demand estimations for the city of Barcelona, computed using the EPISCOPE heuristic model. The method follows a rule-based approach developed in the IEE EPISCOPE and TABULA projects, which estimates energy performance based on key building parameters such as construction year, type, and geometry (height and footprint).

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.5281/zenodo.15789383
title: Building Energy Estimation using Machine Learning: Oslo use case

description: This CSV file contains building-level energy demand estimations for the city of Oslo, computed using the XGboost, a tree based Machine Learning approach. The model uses buildings' 'height', 'construction_year' and 'shared_wall_area' as input features.

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.5281/zenodo.15789382
title: Building Energy Estimation using Machine Learning: Oslo use case

description: This CSV file contains building-level energy demand estimations for the city of Oslo, computed using the XGboost, a tree based Machine Learning approach. The model uses buildings' 'height', 'construction_year' and 'shared_wall_area' as input features.

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.5281/zenodo.7551743
title: Tara Oceans (2009-2013) rDNA 16S V4V5 ASV table (DADA2) with nf-core/ampliseq 2.13

description: This repository contains datasets describing the DADA2 ASVs generated from Tara Oceans 16S V4V5 rDNA data. The ASVs were generated using the nf-core workflow ampliseq. Please refer to the readme file (README.html) for more details.
DOI: 10.5281/zenodo.15781568
title: Building Energy Estimation using EPISCOPE heuristic: Oslo use case

description: This dataset contains building-level energy demand estimations for the city of Oslo, computed using the EPISCOPE heuristic model. The method follows a rule-based approach developed in the IEE EPISCOPE and TABULA projects, which estimates energy performance based on key building parameters such as construction year, type, and geometry (height and footprint).

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.5281/zenodo.15781569
title: Building Energy Estimation using EPISCOPE heuristic: Oslo use case

description: This dataset contains building-level energy demand estimations for the city of Oslo, computed using the EPISCOPE heuristic model. The method follows a rule-based approach developed in the IEE EPISCOPE and TABULA projects, which estimates energy performance based on key building parameters such as construction year, type, and geometry (height and footprint).

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.5281/zenodo.15789207
title: Building Energy Estimation using EPISCOPE heuristic: Rennes use case

description: This GeoJson dataset contains building-level energy demand estimations for the city of Rennes, computed using the EPISCOPE heuristic model. The method follows a rule-based approach developed in the IEE EPISCOPE and TABULA projects, which estimates energy performance based on key building parameters such as construction year, type, and geometry (height and footprint).

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.5281/zenodo.15789206
title: Building Energy Estimation using EPISCOPE heuristic: Rennes use case

description: This GeoJson dataset contains building-level energy demand estimations for the city of Rennes, computed using the EPISCOPE heuristic model. The method follows a rule-based approach developed in the IEE EPISCOPE and TABULA projects, which estimates energy performance based on key building parameters such as construction year, type, and geometry (height and footprint).

This dataset is an output of FAIRiCUBE Use Case 4 (UC4): Spatial and temporal assessment of neighbourhood building stock, which aims to evaluate energy consumption and material stocks in urban environments using harmonized methods across European cities.
DOI: 10.5281/zenodo.17599565
title: Dataset of "Optical, electrical and surface properties of bare and Al-doped nanocrystalline ZnO (AZO) thin films grown by pulsed laser deposition (PLD) on commercial interdigital electrodes (IDE)"

description: Zinc oxide (ZnO) is a low-cost, environmentally friendly material with unique optical properties and a wide variety of nano- and microstructures, making it attractive for applications in energy conversion, scintillators, photocatalytic wastewater treatment, electrochemical energy storage, and sensing. In this work, nominally undoped and Al-doped nanocrystalline ZnO thin films were deposited by pulsed laser deposition (PLD) on commercial gold-based interdigitated electrodes (IDEs).
DOI: 10.5281/zenodo.15434234
title: Dataset of "Optical, electrical and surface properties of bare and Al-doped nanocrystalline ZnO (AZO) thin films grown by pulsed laser deposition (PLD) on commercial interdigital electrodes (IDE)"

description: Zinc oxide (ZnO) is a low-cost, environmentally friendly material with unique optical properties and a wide variety of nano- and microstructures, making it attractive for applications in energy conversion, scintillators, photocatalytic wastewater treatment, electrochemical energy storage, and sensing. In this work, nominally undoped and Al-doped nanocrystalline ZnO thin films were deposited by pulsed laser deposition (PLD) on commercial gold-based interdigitated electrodes (IDEs).
DOI: 10.15468/dl.rrxhcu
title: Occurrence Download

description: A dataset containing 75754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal, Andorra, France, Italy)",
 "Geometry POLYGON((-7.78343 36.19704,6.17914 39.26373,14.13004 36.50941,23.43842 36.04039,24.98982 39.71272,3.27027 51.93705,-6.42596 48.84772,-3.12924 44.59675,-9.1409 44.59675,-11.85585 38.05232,-7.78343 36.19704))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gryllus campestris"
 ]
}

 The dataset includes 75754 records from 1869 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030660-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6collfi/pyyrct
title: msXL_027r_MMSI+overhead+M0615RO_11_F.tif
DOI: 10.25346/s6collfi/8g9bge
title: msXL_027r_MMSI+overhead+M0590AM_61_F.tif
DOI: 10.25346/s6collfi/9wc00a
title: msXL_027r_MMSI+overhead+M0590AM_10_F.tif
DOI: 10.25346/s6collfi/mzez0r
title: msXL_027r_MMSI+overhead+M0560LI_60_F.tif
DOI: 10.25346/s6collfi/3r94oa
title: msXL_027r_MMSI+overhead+M0560LI_09_F.tif
DOI: 10.25346/s6collfi/p4dqsm
title: msXL_027r_MMSI+overhead+M0530GN_59_F.tif
DOI: 10.25346/s6collfi/vmlvh5
title: msXL_027r_MMSI+overhead+M0530GN_08_F.tif
DOI: 10.25346/s6collfi/9oruvo
title: msXL_027r_MMSI+overhead+M0505CN_58_F.tif
DOI: 10.25346/s6collfi/hm3uli
title: msXL_027r_MMSI+overhead+M0505CN_07_F.tif
DOI: 10.25346/s6collfi/hs6qjn
title: msXL_027r_MMSI+overhead+M0470LB_57_F.tif
DOI: 10.25346/s6collfi/logkvq
title: msXL_027r_MMSI+overhead+M0470LB_06_F.tif
DOI: 10.25346/s6collfi/xfpgpe
title: msXL_027r_MMSI+overhead+M0450RB_56_F.tif
DOI: 10.25346/s6collfi/lbjwqo
title: msXL_027r_MMSI+overhead+M0450RB_05_F.tif
DOI: 10.25346/s6collfi/x9zogd
title: msXL_027r_MMSI+overhead+M0420VI_55_F.tif
DOI: 10.25346/s6collfi/frsmfu
title: msXL_027r_MMSI+overhead+M0420VI_04_F.tif
DOI: 10.25346/s6collfi/jbxiqe
title: msXL_027r_MMSI+overhead+M0400UV_54_F.tif
DOI: 10.25346/s6collfi/qj7igb
title: msXL_027r_MMSI+overhead+M0400UV_03_F.tif
DOI: 10.25346/s6collfi/wryurc
title: msXL_027r_MMSI+overhead+M0385UV_53_F.tif
DOI: 10.25346/s6collfi/tooscb
title: msXL_027r_MMSI+overhead+M0385UV_02_F.tif
DOI: 10.25346/s6collfi/nnkkqx
title: msXL_027r_MMSI+overhead+M0365UV_52_F.tif
DOI: 10.25346/s6collfi/mxvmnq
title: msXL_027r_MMSI+overhead+M0365UV_01_F.tif
DOI: 10.25346/s6collfi/ifymzi
title: color_center-MB940IR_18_F.tif
DOI: 10.25346/s6collfi/39k53r
title: color_center-MB850IR_17_F.tif
DOI: 10.25346/s6collfi/zbl9ou
title: color_center-MB780IR_16_F.tif
DOI: 10.25346/s6collfi/d2la9g
title: color_center-MB735IR_15_F.tif
DOI: 10.25346/s6collfi/rgrzll
title: color_center-MB700IR_14_F.tif
DOI: 10.25346/s6collfi/moi2bh
title: color_center-MB655DR_13_F.tif
DOI: 10.25346/s6collfi/nqoy7h
title: color_center-MB630RD_12_F.tif
DOI: 10.25346/s6collfi/x2vdqk
title: color_center-MB615RO_11_F.tif
DOI: 10.25346/s6collfi/fasgbw
title: color_center-MB590AM_10_F.tif
DOI: 10.25346/s6collfi/wqlul2
title: color_center-MB560LI_09_F.tif
DOI: 10.25346/s6collfi/hxtqdj
title: color_center-MB530GN_08_F.tif
DOI: 10.25346/s6collfi/cr4guq
title: color_center-MB505CN_07_F.tif
DOI: 10.25346/s6collfi/16vp9y
title: color_center-MB470LB_06_F.tif
DOI: 10.25346/s6collfi/q5ma3a
title: color_center-MB450RB_05_F.tif
DOI: 10.25346/s6collfi/kb72oc
title: color_center-MB420VI_04_F.tif
DOI: 10.25346/s6collfi/t8sltk
title: color_center-MB400UV_03_F.tif
DOI: 10.25346/s6collfi/jmbxqc
title: color_center-MB385UV_02_F.tif
DOI: 10.25346/s6collfi/g1jthf
title: color_center-MB365UV_01_F.tif