cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19753585.v1
title: AGLC-2015

description: AGLC-2015
DOI: 10.25441/arts.19747378
title: Photogrammetric dataset of HASMG:2012.55.13 (pemmican pounder with rawhide mortar) at Hastings Museum and Art Gallery

description: HASMG:2012.55.13 Hastings Catalogue Description: Pemmican pounder, Blackfoot (?), c1880, length: 23cm, beaded handle with quill decorated thongs at <br> the end, with rawhide mortar. 2 x Photogrammetric datasets of 174 and 200 jpeg images, taken on project visit to Hastings Museum and Art Gallery April 2022
DOI: 10.25441/arts.19747378.v1
title: Photogrammetric dataset of HASMG:2012.55.13 (pemmican pounder with rawhide mortar) at Hastings Museum and Art Gallery

description: HASMG:2012.55.13 Hastings Catalogue Description: Pemmican pounder, Blackfoot (?), c1880, length: 23cm, beaded handle with quill decorated thongs at <br> the end, with rawhide mortar. 2 x Photogrammetric datasets of 174 and 200 jpeg images, taken on project visit to Hastings Museum and Art Gallery April 2022
DOI: 10.6084/m9.figshare.19753639
title: data.CSV

description: The dataset collects the number of correct mands of two children with neurodevelopmental disorders and severe language impairments that improved their mand repertoire and generalized these results also in the home and education environment through an ABA intervention.
DOI: 10.6084/m9.figshare.19753639.v1
title: data.CSV

description: The dataset collects the number of correct mands of two children with neurodevelopmental disorders and severe language impairments that improved their mand repertoire and generalized these results also in the home and education environment through an ABA intervention.
DOI: 10.6084/m9.figshare.19753726
title: Supplementary Material for: Deep Learning for Automatic Upper Airway Obstruction Detection by Analysis of Flow-Volume Curve

description: <b><i>Background:</i></b> Due to the similar symptoms of upper airway obstruction to asthma, misdiagnosis is common. Spirometry is a cost-effective screening test for upper airway obstruction and its characteristic patterns involving fixed, variable intrathoracic and extrathoracic lesions. We aimed to develop a deep learning model to detect upper airway obstruction patterns and compared its performance with that of lung function clinicians. <b><i>Methods:</i></b> Spirometry records were reviewed to detect the possible condition of airway stenosis. Then they were confirmed by the gold standard (e.g., computed tomography, endoscopy, or clinic diagnosis of upper airway obstruction). Images and indices derived from flow-volume curves were used for training and testing the model. Clinicians determined cases using spirometry records from the test set. The deep learning model evaluated the same data. <b><i>Results:</i></b> Of 45,831 patients’ spirometry records, 564 subjects with curves suggesting upper airway obstruction, after verified by the gold standard, 351 patients were confirmed. These cases and another 200 cases without airway stenosis were used as the training and testing sets. 432 clinicians evaluated 20 cases of each of the three patterns and 20 no airway stenosis cases (<i>n</i> = 80). They assigned an accuracy of 41.2% (±15.4) (interquartile range: 27.5–52.5%), with poor agreements (κ = 0.12). For the same cases, the model generated a correct detection of 81.3% (<i>p</i> &lt; 0.0001). <b><i>Conclusions:</i></b> Deep learning could detect upper airway obstruction patterns from other classic patterns of ventilatory defects with high accuracy, whereas clinicians presented marked errors and variabilities. The model may serve as a support tool to enhance clinicians’ correct diagnosis of upper airway obstruction using spirometry.
DOI: 10.6084/m9.figshare.19753726.v1
title: Supplementary Material for: Deep Learning for Automatic Upper Airway Obstruction Detection by Analysis of Flow-Volume Curve

description: <b><i>Background:</i></b> Due to the similar symptoms of upper airway obstruction to asthma, misdiagnosis is common. Spirometry is a cost-effective screening test for upper airway obstruction and its characteristic patterns involving fixed, variable intrathoracic and extrathoracic lesions. We aimed to develop a deep learning model to detect upper airway obstruction patterns and compared its performance with that of lung function clinicians. <b><i>Methods:</i></b> Spirometry records were reviewed to detect the possible condition of airway stenosis. Then they were confirmed by the gold standard (e.g., computed tomography, endoscopy, or clinic diagnosis of upper airway obstruction). Images and indices derived from flow-volume curves were used for training and testing the model. Clinicians determined cases using spirometry records from the test set. The deep learning model evaluated the same data. <b><i>Results:</i></b> Of 45,831 patients’ spirometry records, 564 subjects with curves suggesting upper airway obstruction, after verified by the gold standard, 351 patients were confirmed. These cases and another 200 cases without airway stenosis were used as the training and testing sets. 432 clinicians evaluated 20 cases of each of the three patterns and 20 no airway stenosis cases (<i>n</i> = 80). They assigned an accuracy of 41.2% (±15.4) (interquartile range: 27.5–52.5%), with poor agreements (κ = 0.12). For the same cases, the model generated a correct detection of 81.3% (<i>p</i> &lt; 0.0001). <b><i>Conclusions:</i></b> Deep learning could detect upper airway obstruction patterns from other classic patterns of ventilatory defects with high accuracy, whereas clinicians presented marked errors and variabilities. The model may serve as a support tool to enhance clinicians’ correct diagnosis of upper airway obstruction using spirometry.
DOI: 10.6084/m9.figshare.19753738
title: LncRNA OIP5-AS1 inhibits the lipopolysaccharide-induced inflammatory response and promotes osteogenic differentiation of human periodontal ligament cells by sponging miR-92a-3p

description: Periodontitis is a chronic infectious disease that affects the oral health of adults. Long non-coding RNA OIP5 antisense RNA 1 (OIP5-AS1) has been reported to downregulated in the periodontal tissue of patients with periodontitis. Therefore, the study sought to look at the possible functions of OIP5-AS1 in periodontitis and the associated underlying mechanisms. In the present study, the expression level of OIP5-AS1 and microRNA-92a-3p were analyzed using reverse transcription-quantitative PCR. The levels of osteogenic proteins were determined using western blotting and inflammatory cytokines and oxidative stress were also examined. The proliferation of human periodontal ligament stem cells (hPDLSCs) was evaluated using MTT assays. Assay of osteogenic differentiation was undertaken by means of Alkaline phosphatase staining. The possible association between OIP5-AS1 and miR-92a-3p was determined applying dual-luciferase reporter assays and verified by RNA immunoprecipitation assay. We found that OIP5-AS1 was expressed at low levels in lipopolysaccharide (LPS)-stimulated hPDLSCs. OIP5-AS1 overexpression promoted proliferation and osteogenic differentiation ability and reduced LPS-induced inflammation in hPDLSCs. Furthermore, OIP5-AS1 directly targeted and reduced miR-92a-3p expression. The overexpression of miR-92a-3p partly abolished the effects of OIP5-AS1 on LPS-induced cell proliferation and osteogenic differentiation as well as inflammation in hPDLSCs. Collectively, the results indicated that OIP5-AS1 overexpression inhibited the LPS-induced inflammatory response and promoted the osteogenic differentiation of hPDLSCs by sponging miR-92a-3p. Thus, OIP5-AS1 is probably an essential objective for research during periodontitis treatment.
DOI: 10.6084/m9.figshare.19753738.v1
title: LncRNA OIP5-AS1 inhibits the lipopolysaccharide-induced inflammatory response and promotes osteogenic differentiation of human periodontal ligament cells by sponging miR-92a-3p

description: Periodontitis is a chronic infectious disease that affects the oral health of adults. Long non-coding RNA OIP5 antisense RNA 1 (OIP5-AS1) has been reported to downregulated in the periodontal tissue of patients with periodontitis. Therefore, the study sought to look at the possible functions of OIP5-AS1 in periodontitis and the associated underlying mechanisms. In the present study, the expression level of OIP5-AS1 and microRNA-92a-3p were analyzed using reverse transcription-quantitative PCR. The levels of osteogenic proteins were determined using western blotting and inflammatory cytokines and oxidative stress were also examined. The proliferation of human periodontal ligament stem cells (hPDLSCs) was evaluated using MTT assays. Assay of osteogenic differentiation was undertaken by means of Alkaline phosphatase staining. The possible association between OIP5-AS1 and miR-92a-3p was determined applying dual-luciferase reporter assays and verified by RNA immunoprecipitation assay. We found that OIP5-AS1 was expressed at low levels in lipopolysaccharide (LPS)-stimulated hPDLSCs. OIP5-AS1 overexpression promoted proliferation and osteogenic differentiation ability and reduced LPS-induced inflammation in hPDLSCs. Furthermore, OIP5-AS1 directly targeted and reduced miR-92a-3p expression. The overexpression of miR-92a-3p partly abolished the effects of OIP5-AS1 on LPS-induced cell proliferation and osteogenic differentiation as well as inflammation in hPDLSCs. Collectively, the results indicated that OIP5-AS1 overexpression inhibited the LPS-induced inflammatory response and promoted the osteogenic differentiation of hPDLSCs by sponging miR-92a-3p. Thus, OIP5-AS1 is probably an essential objective for research during periodontitis treatment.
DOI: 10.5281/zenodo.6541942
title: The Dataset of Quantifying Alignment Deviations for the In-plane Biaxial Test System

description: The dataset consists of 12 alignment deviations of an in-plane biaxial tensile testing machine as well as 56 strain measurement points on cruciform specimens. A deep learning model is trained on the dataset to quantify 12 alignment deviations using 56 strain values on a shape-optimized cruciform specimen. The design of experiments includes Optimal Latin Hypercube, numerical modelling of Finite Element Methods. Using the Optimal Latin Hypercube, 55000 distinct groups of DOE simulation tests are constructed. Under the boundary conditions of 12 distinct deviations, 56 strain values at the required location on the cruciform specimen are obtained using Python scripts.
DOI: 10.5281/zenodo.6542089
title: Test data for BBraun syringe pump - flow rate tests at CMI

description: Syringe pump BBraun Perfusor Space was tested with two syringes of 50 mL and 10 mL volume. Mass of liquid (water or saline solution) released from the pump is recorded using a reference scale as a function of time with a step of 1s. Flow rate generated by the pump is analysed as a function of time for three values of flow rate set in the pump: 1 mL/h, 10 mL/h and 30 mL/h.
DOI: 10.5281/zenodo.6542088
title: Test data for BBraun syringe pump - flow rate tests at CMI

description: Syringe pump BBraun Perfusor Space was tested with two syringes of 50 mL and 10 mL volume. Mass of liquid (water or saline solution) released from the pump is recorded using a reference scale as a function of time with a step of 1s. Flow rate generated by the pump is analysed as a function of time for three values of flow rate set in the pump: 1 mL/h, 10 mL/h and 30 mL/h.
DOI: 10.5519/qd.y9hmzlhi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc29grm5
title: CCDC 2129347: Experimental Crystal Structure Determination

description: Related Article: Jaegyeong Lee, Dongil Kim, Hyosun Lee, Saira Nayab, Ji Hoon Han|2022|Polyhedron|216|115696|doi:10.1016/j.poly.2022.115696
DOI: 10.5517/ccdc.csd.cc29grn6
title: CCDC 2129348: Experimental Crystal Structure Determination

description: Related Article: Jaegyeong Lee, Dongil Kim, Hyosun Lee, Saira Nayab, Ji Hoon Han|2022|Polyhedron|216|115696|doi:10.1016/j.poly.2022.115696
DOI: 10.5517/ccdc.csd.cc29grp7
title: CCDC 2129349: Experimental Crystal Structure Determination

description: Related Article: Jaegyeong Lee, Dongil Kim, Hyosun Lee, Saira Nayab, Ji Hoon Han|2022|Polyhedron|216|115696|doi:10.1016/j.poly.2022.115696
DOI: 10.5517/ccdc.csd.cc29grq8
title: CCDC 2129350: Experimental Crystal Structure Determination

description: Related Article: Jaegyeong Lee, Dongil Kim, Hyosun Lee, Saira Nayab, Ji Hoon Han|2022|Polyhedron|216|115696|doi:10.1016/j.poly.2022.115696
DOI: 10.6084/m9.figshare.19699012.v1
title: Evaluation of the prognostic role of targeted methylation analysis in formalin-fixed paraffin-embedded samples of adrenocortical carcinoma.

description: Supplemental data containing an additional figures and primer sequences.
DOI: 10.6084/m9.figshare.19354481.v1
title: The diversity and evolutionary relationships of ticks and tick-borne bacteria in China

description: Phylogenetic tree of tick and tick-associated bacteria in this study. We collected more than 20,000 contemporary and historical (up to 60 years of preservation) tick samples representing a wide range of tick biodiversity across diverse geographic regions in China. Metagenomic sequencing was performed on individual ticks to obtain the complete or near-complete mitochondrial (mt) genome sequences from 46 tick species, among which mitochondrial genomes were revealed for the first time for 23 species. These new mt genomes data greatly expanded the diversity of many tick groups and revealed five cryptic species. Utilizing the same metagenomic sequence data we identified divergent and abundant bacteria in <i>Haemaphysalis</i>, <i>Ixodes</i>, <i>Dermacentor</i> and <i>Carios </i>ticks, including nine species of pathogenetic bacteria and potentially new species within the genus <i>Borrelia</i>. We also used these data to explore the evolutionary relationship between ticks and their associated bacteria, revealing a pattern of long-term co-divergence relationship between ticks and <i>Rickettsia</i> and <i>Coxiella </i>bacteria.
DOI: 10.22008/fk2/lkmtby/6x2gvp
title: 21908.pdf
DOI: 10.22008/fk2/lkmtby/w9yxwt
title: 250TF.HPG
DOI: 10.22008/fk2/lkmtby/m9yrwe
title: 250VG.HPG
DOI: 10.22008/fk2/lkmtby/00gla0
title: ARCHIVE.001
DOI: 10.22008/fk2/lkmtby/bsgkk6
title: PATH1.HPG
DOI: 10.22008/fk2/lkmtby/93bqtf
title: PATH2.HPG
DOI: 10.22008/fk2/lkmtby/5umrjj
title: PATH3.HPG
DOI: 10.22008/fk2/lkmtby/2wkeqy
title: PATH4.HPG
DOI: 10.22008/fk2/lkmtby/tsftzv
title: PATH5.HPG
DOI: 10.22008/fk2/lkmtby/mzk0vs
title: README.TXT
DOI: 10.22008/fk2/lkmtby/jqnpdj
title: TF1.HPG
DOI: 10.22008/fk2/lkmtby/svebyu
title: TF2.HPG
DOI: 10.22008/fk2/lkmtby/ssjubl
title: TF3.HPG
DOI: 10.6084/m9.figshare.19752856
title: An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multi-source product fusion approach

description: The GLC-2015 is organized by a total of 1507 geographical grids of 4-degree. The shapefile of 4-degree grids can be found in "fishnet_world.zip". Each image of the GLC-2015 dataset is named as “GLC-2015_i” (i represents the id of the 4-degree grid) in GeoTIFF format. For each pixel, values from 10 to 100 represent the land cover class, while 0 and 250 invalid fill value.
DOI: 10.5281/zenodo.6542250
title: Data and code for a study submitted as a registered report to Royal Society Open Science.

description: This dataset contains the data obtained during the experiment, as well as the programs used to analyse it.
DOI: 10.5281/zenodo.6542249
title: Data and code for a study submitted as a registered report to Royal Society Open Science.

description: This dataset contains the data obtained during the experiment, as well as the programs used to analyse it.
DOI: 10.5519/qd.xgzwq1xx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2303 records)
DOI: 10.17034/315b86c0-f76e-478c-902a-a4bb972f3a74
title: Dataset for "Absolute calibration of Fujifilm BAS-TR image plate response to laser driven protons up to 40 MeV"

description: Dataset underpinning the results presented in the article titled, "Absolute calibration of Fujifilm BAS-TR image plate response to laser driven protons up to 40 MeV" published in Review of Scientific instrument (2020) Abstract of the paper: Image plates (IPs) are a popular detector in the field of laser driven ion acceleration, owing to their high dynamic range, and reusability. An absolute calibration of these detectors to laser-driven protons in the routinely produced tens of MeV energy range is therefore essential. In this paper, the response of Fujifilm BAS-TR IPs to 1–40 MeV protons is calibrated by employing the detectors in high resolution Thomson parabola spectrometers, in conjunction with CR-39 nuclear track detector to determine absolute proton numbers. While the CR-39 was placed in front of the image plate for lower energy protons, it was placed behind the image plate for energies above 10 MeV, using suitable metal filters sandwiched between the image plate and CR-39 to select specific energies. The measured response agrees well with previous reported calibrations, as well as standard models of IP response, providing, for the first time, an absolute calibration over a large range of proton energies of relevance to current experiments.
DOI: 10.5258/soton//d2207
title: Dataset for the article: "Measured Behaviour of a Memristor-Based Tuneable Instrumentation Amplifier"

description: The excel file includes the measured data used for generating the Fig 2 to 5 in the paper 'Measured Behaviour of a Memristor-Based Tuneable Instrumentation Amplifier'. The PNG file inclues the Fig 2 to 5 in the paper which were generated based on the data in the excel file. The figures are as follows: Fig2. Impedance-frequency function of TiOx/Al2O3 10×10µm2 memristor devices. Fig3. Gain response of the instrumentation amplifier for a set of memristor resistances and a based line given by 30kΩ discrete resistor. Fig4. THD+N of the instrumentation amplifier with input signal amplitude from 30mV to 300mV. Fig5. THD+N of the instrumentation amplifier uses 3 memristors compare with uses 1 memristor.
DOI: 10.5281/zenodo.6542292
title: Germline variants in 5 LCLs, supplementary data

description: These files are supplementary data for the article Laczik M, Erdős E, Ozgyin L, Hevessy Zs, Csősz É, Kalló G, Nagy T, Barta E, Póliska Sz, Szatmári I and Bálint BL: Extensive proteome and functional genomic profiling of variability between genetically identical human B-lymphoblastoid cells. The files (one in Variant Call Format, the other is the index of the former) are outputs from the GATK germline variant calling pipeline, summarizing all the variants found in five isogenic B-lymphoblastoid cell lines. For further details please see the article.
DOI: 10.5281/zenodo.6542398
title: CCG Starter Data Kit: Taiwan

description: A starter data kit for Taiwan Province Of China
DOI: 10.22008/fk2/jkyxjm
title: Greenland Petroleum Seep and Stain Inventory

description: This data product is a website. The page you are looking at is just the DOI reference to the website. The website can be found at Greenland Petroleum Seep and Stain Inventory. The inventory provides an overview over petroleum seeps and stains in Greenland. At present the inventory includes the following features: (1) Oil seeps, (2) Gas seeps, (3) Mud diapirs, pingos and gas-rich springs, (4) Oil stains in volcanic rocks, carbonates and sandstones, (5) Solid macroscopic bitumen, and (6) Fluid inclusions and other evidence of micro-seepage. The inventory comprises detailed information on samples and localities together with description of features and geology and includes references to data, reports and publications. All information is summarised in either a minerals or petroleum systems context. Petroleum seeps and stains have been reported from most Palaeozoic, Mesozoic and Cenozoic basins in Greenland where they add important information on petroleum systems, especially distribution and facies variation of source rocks, petroleum generation and later migration, accumulation, and degradation. The inventory is designed to be updated with additional localities, descriptions and new organic geochemical data.
DOI: 10.5281/zenodo.5139520
title: CCG Starter Data Kit: Taiwan

description: A starter data kit for Taiwan Province Of China
DOI: 10.22008/fk2/lac3td/u9cfqv
title: G500_Sheet2_Frederikshåb_Isblink_Søndre_Strømfjord__Quaternary_400dpi.tif
DOI: 10.22008/fk2/lac3td
title: Quaternary map of Greenland, 1:500 000, Sheet 2, Frederikshåb Isblink - Søndre Strømfjord

description: Kvartærgeologisk kort over Grønland / Quaternary map of Greenland - 1:500 000, southern West Greenland
DOI: 10.22008/fk2/qqy9v7/0czeu1
title: G250_Scoresby_Sund_70Ø1_400dpi.tif
DOI: 10.22008/fk2/qqy9v7/qxihqk
title: G250_Scoresby_Sund_70Ø1_400dpi.pdf
DOI: 10.22008/fk2/qqy9v7
title: Geological map of North and North-East Greenland, 1:250 000, 70 Ø. 1 Scoresby Sund

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, central East Greenland, Jameson Land and Liverpool Land
DOI: 10.22008/fk2/bs0u8b/gezh9j
title: G50_Kilen.pdf
DOI: 10.22008/fk2/bs0u8b/b9uq3r
title: G50_Kilen.tiff
DOI: 10.22008/fk2/bs0u8b
title: Geological map of Kilen, eastern North Greenland, 1:50 000

description: Geologisk kort over Grønland / Geological map of Greenland - 1:50 000, eastern North Greenland, Kronprins Christian Land
DOI: 10.22008/fk2/b3i8n2/fjd5qy
title: G250_Danmarkshavn_76Ø1_400dpi.tif
DOI: 10.22008/fk2/b3i8n2/jqiea6
title: G250_Danmarkshavn_76Ø1_400dpi.pdf
DOI: 10.22008/fk2/b3i8n2
title: Geological map of North and North-East Greenland, 1:250 000, 76 Ø. 1 Danmarkshavn

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, North-East Greenland, Store Koldewey, Daniel Bruun Land, Ad.S. Jensen Land, Gerrmania Land
DOI: 10.22008/fk2/7gr0pd/tkumnc
title: G250_Carlsberg_Fjord_71Ø1_400dpi.tif
DOI: 10.22008/fk2/7gr0pd/vltyad
title: G250_Carlsberg_Fjord_71Ø1_400dpi.pdf
DOI: 10.22008/fk2/7gr0pd
title: Geological map of North and North-East Greenland, 1:250 000, 71 Ø. 1 Carlsberg Fjord

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, central East Greenland, Jameson Land and Liverpool Land
DOI: 10.22008/fk2/efgrzy/kdk9aj
title: G250_Blåsø_79Ø2a_400dpi.tif
DOI: 10.22008/fk2/efgrzy/0upwiq
title: G250_Blåsø_79Ø2a_400dpi.pdf
DOI: 10.22008/fk2/efgrzy
title: Geological map of North and North-East Greenland, 1:250 000, 79 Ø. 2a Blåsø

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, eastern North Greenland, Skallingen, Kronprins Christian Land
DOI: 10.22008/fk2/azxw9l/rzaqov
title: G250_Clavering_Ø_74Ø2_400dpi.tif
DOI: 10.22008/fk2/azxw9l/unbmwz
title: G250_Clavering_Ø_74Ø2_400dpi.pdf
DOI: 10.22008/fk2/azxw9l
title: Geological map of North and North-East Greenland, 1:250 000, 74 Ø. 2 Clavering Ø

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, northern East Greenland, Clavering Ø, A.P. Olsen Land, Th. Thomsen Land, Payer Land
DOI: 10.22008/fk2/7qxbug/8ohwmt
title: G250_Holger_Kiær_Nunatakker_81Ø4_400dpi.tif
DOI: 10.22008/fk2/7qxbug/z6kh5b
title: G250_Holger_Kiær_Nunatakker_81Ø4_400dpi.pdf
DOI: 10.22008/fk2/7qxbug
title: Geological map of North and North-East Greenland, 1:250 000, 81 Ø. 4 Holger Kiær Nunatakker

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, eastern North Greenland, Heilprin Land
DOI: 10.22008/fk2/6jkdi8/n92sgx
title: G250_Kronprins_Christian_Land_80Ø2_400dpi.tif
DOI: 10.22008/fk2/6jkdi8/8xoxuc
title: G250_Kronprins_Christian_Land_80Ø2_400dpi.pdf
DOI: 10.22008/fk2/6jkdi8
title: Geological map of North and North-East Greenland, 1:250 000, 80 Ø. 2 Kronprins Christian Land

description: Geologisk kort over Grønland / Geological map of Greenland - 1:250 000, eastern North Greenland, Kronprins Christian Land
DOI: 10.22008/fk2/li8o5z/mg8rlv
title: G250_Cecilia_Nunatak_72Ø4a_400dpi.tif
DOI: 10.22008/fk2/li8o5z/cm3hdu
title: G250_Cecilia_Nunatak_72Ø4a_400dpi.pdf