cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8181131
title: Post-Typhoon Mawar Orthomosaic – Ritidian, Guam

description: This orthomosaic was created from 276 images taken on 08 June 2023, at 699 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UGCS application and post-processed using DroneDeploy. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.
DOI: 10.5281/zenodo.8181132
title: Post-Typhoon Mawar Orthomosaic – Ritidian, Guam

description: This orthomosaic was created from 276 images taken on 08 June 2023, at 699 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UGCS application and post-processed using DroneDeploy. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.
DOI: 10.5281/zenodo.8181137
title: Post-Typhoon Mawar Orthomosaic – Tumon, Guam

description: This orthomosaic was created from 2040 images taken on 27 May 2023, at 800 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UGCS application and post-processed using DroneDeploy. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.
DOI: 10.5281/zenodo.8181138
title: Post-Typhoon Mawar Orthomosaic – Tumon, Guam

description: This orthomosaic was created from 2040 images taken on 27 May 2023, at 800 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UGCS application and post-processed using DroneDeploy. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.
DOI: 10.5281/zenodo.8181151
title: Post-Typhoon Mawar Orthomosaic – UOG Mangilao, Guam

description: This orthomosaic was created from 936 images taken on 07 June 2023, at 699 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UGCS application and post-processed using DroneDeploy. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.
DOI: 10.5281/zenodo.8181152
title: Post-Typhoon Mawar Orthomosaic – UOG Mangilao, Guam

description: This orthomosaic was created from 936 images taken on 07 June 2023, at 699 ft AGL, with a DJI P1 Sensor mounted to a DJI Matrice 300 UAV. The mission was planned using the UGCS application and post-processed using DroneDeploy. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization.
DOI: 10.5281/zenodo.8180666
title: miroc6.amip.run01.tar.gz

description: Archive of the MIROC6 AMIP-trend experiment for 1979-2013 (member 1) used in Watanabe et al. (2023, GRL). The data format is not netCDF so please ask Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp) when you would like to analyze them. Alternatvely, the Fortran codes and GrADS scripts for converting the data are available at https://ccsr.aori.u-tokyo.ac.jp/~hiro/data/amip-trend/.
DOI: 10.5281/zenodo.8180665
title: miroc6.amip.run01.tar.gz

description: Archive of the MIROC6 AMIP-trend experiment for 1979-2013 (member 1) used in Watanabe et al. (2023, GRL). The data format is not netCDF so please ask Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp) when you would like to analyze them. Alternatvely, the Fortran codes and GrADS scripts for converting the data are available at https://ccsr.aori.u-tokyo.ac.jp/~hiro/data/amip-trend/.
DOI: 10.5281/zenodo.8181403
title: Supplement to: Early Cretaceous climate for the southern Tethyan Ocean: insights from the geochemical and paleoecological analyses of extinct cephalopods

description: One file (excel) containing XRPD results and Table S1-S6 with details of the clumped isotope, stable carbon isotope, and trace elements analyses that refers to the manuscript.
DOI: 10.5281/zenodo.8181402
title: Supplement to: Early Cretaceous climate for the southern Tethyan Ocean: insights from the geochemical and paleoecological analyses of extinct cephalopods

description: One file (excel) containing XRPD results and Table S1-S6 with details of the clumped isotope, stable carbon isotope, and trace elements analyses that refers to the manuscript.
DOI: 10.5281/zenodo.8185027
title: Characterizing the Plant-Pathogen Interactions of Harringtonia lauricola with Susceptible Lauraceae

description: Supporting datasets.
DOI: 10.6084/m9.figshare.23751483
title: 20230726_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23751483.v1
title: 20230726_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.8185205
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Trevillian Linzey, http://www.wikidata.org/entity/Q99360530. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q99360530
DOI: 10.5281/zenodo.8185204
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Trevillian Linzey, http://www.wikidata.org/entity/Q99360530. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q99360530
DOI: 10.5281/zenodo.8185207
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Luis Sodiro, http://www.wikidata.org/entity/Q3266829. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3266829
DOI: 10.5281/zenodo.8185206
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Luis Sodiro, http://www.wikidata.org/entity/Q3266829. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3266829
DOI: 10.5281/zenodo.8185209
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Stewart Parker, http://www.wikidata.org/entity/Q21522639. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21522639
DOI: 10.5281/zenodo.8185208
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Stewart Parker, http://www.wikidata.org/entity/Q21522639. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21522639
DOI: 10.6084/m9.figshare.23633703.v2
title: Rebar counting detection using object detection based on deep learning

description: A high-precision DJI Phantom 4 Pro drone was commissioned at five unique construction sites in South Korea during peak productivity hours. Construction supervisors manually controlled the drone, thus ensuring the capture of clearly visible images of the rebars. Representative samples from the original dataset are displayed in Figure 3. The drone's path was methodically guided in a vertical trajectory above each column, positioning it directly above the rebars at an estimated altitude of 1 to 2 meters. At each position, still images were captured with the columns nearly centred in each frame. To underscore the pragmatic viability of the proposed method, rebar images were sourced under authentic operational conditions, thus encapsulating the complexities and challenges that typify bustling construction sites. This dataset contained a diverse array of variations in factors such as illumination, scale, and perspective. Moreover, other construction equipment such as scaffolding, timber and moulding were also observed in the images. In total, 728 images of rebars with a resolution of 1,500 × 900 pixels were captured.
DOI: 10.6084/m9.figshare.23723571
title: Affective Agenda Dynamics on Social Media: Interactions of Emotional Content Shared by the Public, Government, and Media during the COVID-19 Pandemic

description: Data for " Affective Agenda Dynamics on Social Media: Interactions of Emotional Content Shared by the Public, Government, and Media during the COVID-19 Pandemic "
DOI: 10.6084/m9.figshare.23723571.v2
title: Affective Agenda Dynamics on Social Media: Interactions of Emotional Content Shared by the Public, Government, and Media during the COVID-19 Pandemic

description: Data for " Affective Agenda Dynamics on Social Media: Interactions of Emotional Content Shared by the Public, Government, and Media during the COVID-19 Pandemic "
DOI: 10.6084/m9.figshare.23723571.v1
title: Affective Agenda Dynamics on Social Media: Interactions of Emotional Content Shared by the Public, Government, and Media during the COVID-19 Pandemic

description: Data for " Affective Agenda Dynamics on Social Media: Interactions of Emotional Content Shared by the Public, Government, and Media during the COVID-19 Pandemic "
DOI: 10.6084/m9.figshare.23641164.v1
title: Terrestrial Ecosystem Disturbance- harvested carbon in forests (TED-LEAF)

description: Combining the tree cover loss dataset, the interannual variation of the satellite-based vegetation index, and the provincial statistical harvested wood provided by the China Forestry and Grassland Statistical Yearbook, we produced a Long-term Harvest Carbon from Forest dataset for China, which provides spatial information on forest harvesting at a resolution of 30×30 m. Averaged from 2003 to 2018, forest harvesting took away 68.34 Mt C yr-1. The validation results demonstrated the accuracy and reliability of the dataset in capturing the spatial variation of harvested carbon. The dataset generated by this study is an important data source for estimating the carbon budget of forest ecosystems in China, which also can provide essential insights for sustainable forest management and climate change mitigation efforts.
DOI: 10.15485/1631262
title: Arctic shrub root traits, northern Alaska, summer 2017 (Version 2.0)

description: This data package contains root trait data collected from 170 plots of rapidly expanding shrub genera (Alnus, Betula, and Salix) and a widespread sedge (Eriophorum vaginatum) along a latitudinal and temperature gradient in northern Alaska. The trait data were collected in July 2017 and include root architecture (root diameter and branching patterns), mycorrhizal colonization (%), nitrogen concentration (%), delta 15N (per mil), and vertical root biomass. These raw data support a submitted manuscript that examines the distribution and interspecific variations of absorptive root traits of shrubs and graminoids across the graminoid-dominated nutrient-poor arctic tundra and reveals how deciduous shrub expansion affects plant nutrient acquisition strategies in tundra ecosystems. Data are presented by site (n=5) and patch (shrub or sedge plot) in separate csv files. The location data are provided in the “plot coordinates” file; all other files contain the data in the file title. Detailed methods are in Chen et al. (2020).2023/07/20 Update: The latest version of this dataset publication is version 2.0. The latest version of the data package was updated to include the alder nodule biomass dataset (alder nodule biomass.csv) and associated metadata (metadata_alder nodule biomass.csv). The name of the previous metadata file was updated (metadata_ root traits and biomass.csv ) to distinguish it from the new metadata file.
DOI: 10.15485/1889749
title: Arctic shrub size and leaf traits, northern Alaska, summer 2017 (Version 2.0)

description: This data package contains leaf and size trait and environmental data collected from 170 plots of rapidly expanding shrub genera (Alnus, Betula, and Salix) and a widespread sedge (Eriophorum vaginatum) along a latitudinal and climate gradient in northern Alaska. The trait data were collected in summer 2017 and include leaf area, specific leaf area, leaf nitrogen concentration, leaf delta 15N, leaf delta 13C, shrub height, aboveground biomass, and the ratio of root biomass to aboveground biomass. These raw data support a submitted manuscript that examines the intraspecific variations of size, leaf and root traits of shrubs across the graminoid-dominated nutrient-poor arctic tundra and reveals the environmental drivers of deciduous shrub traits in tundra ecosystems (Fraterrigo et al., submitted). Data are presented by site (n=5) and patch (shrub or sedge plot) in separate csv files. The location data are provided in the “plot coordinates” file; all other files contain the data in the file title. Detailed methods are in the submitted manuscript. A companion data package contains root trait data collected simultaneously from the same plots (Fraterrigo and Chen, 2020). See the "Related references" section for more information.2023/07/20 Update: The latest version of this dataset publication is version 2.0. The latest version of the data package was updated to correct the leaf size trait.csv file.
DOI: 10.15485/1959350
title: Impact of burning on soil properties and respiration; Wood Buffalo National Park, Canada; June 2019

description: In this study, we used burn simulations on boreal forest soil under high and low moisture conditions to investigate the effect of burning on soil temperature, soil properties such as pH, total C and total C, and soil respiration. Location and site characteristic data of 19 sampling locations within Wood Buffalo National Park, Canada are included in "sampling-site-characteristics.csv". File "Temp-all-burns.csv" contains temperature data collected 2 to 9 cm below the soil surface during 2 min. heat treatment (i.e. burn simulation) and the following 5-24 hrs. Following the burn simulations, total respiration from burned and unburned soil was collected via KOH base traps for up to 6 months ("raw-conductivity-readings.csv"). The metadata file ("all-sample-metadata.csv") contains measurements of soil pH, total C, and total N of O horizon and underlying mineral soil as well as model fits for respiration data.
DOI: 10.6084/m9.figshare.23751216.v1
title: mriModalityClassification.h5

description: weights resnet <br>
DOI: 10.6084/m9.figshare.23751216
title: mriModalityClassification.h5

description: weights resnet <br>
DOI: 10.5439/1992045
title: org (b1)

description: The ORG measures rainfall by detecting the optical irregularities induced within the sample volume by precipitating particles falling through a beam of partially coherent infrared light. These irregularities are known as scintillation. By detecting the intensity of the scintillation, the actual rainfall rate can be measured. This particular rain gauge is an optical independent analog unit consisting of a frame that contains 1) the transmit head, 2) a receive head and electronics, and 3) a 15-meter-long power/signal cable. The transmit head contains an infrared-emitting diode and lens with heater. The other head contains a photodiode, lens and aperture, heater, electronics, and cable connectors. All wiring between the heads runs within the frame.
DOI: 10.5439/1992046
title: nfov (a0)

description: The narrow-field-of-view zenith radiometer (NFOV) is a ground-based radiometer that looks straight up. As the name states, the field of view of the instrument is narrow, thus permitting the measurement of the downwelling zenith radiance. The instrument outputs a time series of 1-sec observations of the zenith spectral radiance measured at a wavelength of 869 nm. Data from the instrument have many uses; for example, the internal structure of clouds can be characterized by examining a time series of the radiance data.
DOI: 10.5439/1992048
title: mettwr (b1)

description: The surface and tower meteorological instrumentation uses mainly conventional in situ sensors mounted on a tower to measure wind speed, wind direction, air temperature, dew point, and humidity. It also obtains barometric pressure, visibility, and precipitation data from sensors at or near the base of the tower. In addition, a chilled mirror hygrometer is used for comparison purposes.
DOI: 10.35078/isjmlt/cqtdh4
title: Santo Inácio I. B.jpg

description: :unav
DOI: 10.35078/isjmlt/syjqih
title: Alterosa B.jpg

description: :unav
DOI: 10.35078/isjmlt/s5hp2o
title: Vargem Grande II. C.jpg

description: :unav
DOI: 10.35078/isjmlt/nc6wob
title: Varginha B.jpg

description: :unav
DOI: 10.35078/isjmlt/mvnumv
title: Santa Bárbara I. A.jpg

description: :unav
DOI: 10.35078/isjmlt/hxreoq
title: Cantinho A.jpg

description: :unav
DOI: 10.35078/isjmlt/uluzss
title: Santos Reis B.jpg

description: :unav
DOI: 10.35078/isjmlt/gjajxq
title: Pau-a-Pique B.jpg

description: :unav
DOI: 10.35078/isjmlt/qje3bt
title: José Moreira B.jpg

description: :unav
DOI: 10.35078/isjmlt/5dlznw
title: São João III. B.jpg

description: :unav
DOI: 10.35078/isjmlt/zsn5rv
title: Claraíba B.jpg

description: :unav
DOI: 10.35078/isjmlt/vgzgbr
title: Santa Rita A.jpg

description: :unav
DOI: 10.35078/isjmlt/xvwop1
title: Pio Dias B.jpg

description: :unav
DOI: 10.35078/isjmlt/m8mtl2
title: Barrocãozinho A.jpg

description: :unav
DOI: 10.35078/isjmlt/u6qaca
title: Santa Fé B.jpg

description: :unav
DOI: 10.35078/isjmlt/oprpe2
title: Pinheiros II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/9g2tka
title: Pindaíba III. A.jpg

description: :unav
DOI: 10.35078/isjmlt/lrr6jm
title: Empoeira I. A.jpg

description: :unav
DOI: 10.35078/isjmlt/suadyd
title: Camarinhas II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/toirxq
title: São Geraldo B.jpg

description: :unav
DOI: 10.35078/isjmlt/lcatka
title: Camará B.jpg

description: :unav
DOI: 10.35078/isjmlt/cvwjcw
title: Vila Greice B.jpg

description: :unav
DOI: 10.35078/isjmlt/olbfdg
title: Alferão B.jpg

description: :unav
DOI: 10.35078/isjmlt/xaabfi
title: Furadinho B.jpg

description: :unav
DOI: 10.35078/isjmlt/5to0c8
title: Cantinho B.jpg

description: :unav
DOI: 10.35078/isjmlt/1ewtm3
title: Rodrigues A.jpg

description: :unav
DOI: 10.35078/isjmlt/s7oznx
title: Mamoneira B.jpg

description: :unav
DOI: 10.35078/isjmlt/d70qc5
title: Vereda II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/w1grzy
title: Gameleira B.jpg

description: :unav
DOI: 10.35078/isjmlt/hxcfhv
title: Gameleira III. B.jpg

description: :unav
DOI: 10.35078/isjmlt/tcktpp
title: Degredo B.jpg

description: :unav
DOI: 10.35078/isjmlt/bg7oqm
title: Ranchão B.jpg

description: :unav
DOI: 10.35078/isjmlt/wkz9qa
title: Taquara B.jpg

description: :unav
DOI: 10.35078/isjmlt/h3zkpj
title: Cana Verde B.jpg

description: :unav
DOI: 10.35078/isjmlt/vdu7ml
title: Barreiro II. B.jpg

description: :unav
DOI: 10.35078/isjmlt/ciehmt
title: Palmeiras B.jpg

description: :unav
DOI: 10.35078/isjmlt/vl83n8
title: Santa Cruz I. B.jpg

description: :unav
DOI: 10.35078/isjmlt/xks9ux
title: São João II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/yyudtm
title: Camarinhas I. B.jpg

description: :unav
DOI: 10.35078/isjmlt/eogerv
title: Andrequicé B.jpg

description: :unav
DOI: 10.35078/isjmlt/isnsdd
title: Gameleira II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/hdv5vx
title: Ribeirão das Tábuas A.jpg

description: :unav
DOI: 10.35078/isjmlt/0spaac
title: Lagoinha IV. Faz. B.jpg

description: :unav
DOI: 10.35078/isjmlt/2o0jdi
title: Lagoa do Peixe B.jpg

description: :unav
DOI: 10.35078/isjmlt/twdxn0
title: Nova Esperança B.jpg

description: :unav
DOI: 10.35078/isjmlt/55jc9a
title: Jaboticabal B.jpg

description: :unav
DOI: 10.35078/isjmlt/21z9oo
title: São João IV. B.jpg

description: :unav
DOI: 10.35078/isjmlt/zf5j8k
title: Pradim II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/o0s1jo
title: Barreiro do Buqueirão A.jpg

description: :unav
DOI: 10.35078/isjmlt/rngxlg
title: Vargem Grande B.jpg

description: :unav
DOI: 10.35078/isjmlt/4qpz7z
title: Furado Grande B.jpg

description: :unav
DOI: 10.35078/isjmlt/qrb2e8
title: Mucambo São José B.jpg

description: :unav
DOI: 10.35078/isjmlt/ilqysv
title: Palmito A.jpg

description: :unav
DOI: 10.35078/isjmlt/eegtiv
title: Mandacarú II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/caqjgi
title: Saco do Coxo B.jpg

description: :unav
DOI: 10.35078/isjmlt/ik1oai
title: Tigre A.jpg

description: :unav
DOI: 10.35078/isjmlt/16ctzi
title: Riacho D'antas B.jpg

description: :unav
DOI: 10.35078/isjmlt/whqr9b
title: Santa Bárbara II. B.jpg

description: :unav
DOI: 10.35078/isjmlt/rhammd
title: Jacy Mendes A.jpg

description: :unav
DOI: 10.35078/isjmlt/1fozcb
title: Serra Velha B.jpg

description: :unav
DOI: 10.35078/isjmlt/idjr5p
title: Saramandáia B.jpg

description: :unav
DOI: 10.35078/isjmlt/9em1o0
title: Rua dos Anjos B.jpg

description: :unav
DOI: 10.35078/isjmlt/sbqqud
title: Antoniêta Canela B.jpg

description: :unav
DOI: 10.35078/isjmlt/0ua5vu
title: Umburana B.jpg

description: :unav
DOI: 10.35078/isjmlt/rnqhoa
title: Santa Rita B.jpg

description: :unav
DOI: 10.35078/isjmlt/bpez0j
title: Mucambo Firme II. A.jpg

description: :unav
DOI: 10.35078/isjmlt/35xmhg
title: Santo Hilário B.jpg

description: :unav
DOI: 10.35078/isjmlt/tnmtao
title: Perobas A.jpg

description: :unav
DOI: 10.35078/isjmlt/pqlcvg
title: Criciúma A.jpg

description: :unav
DOI: 10.35078/isjmlt/ncqzw8
title: Lagoinha A.jpg

description: :unav
DOI: 10.35078/isjmlt/dyjbyx
title: Marcela A.jpg

description: :unav
DOI: 10.35078/isjmlt/qglmtc
title: Açougue A.jpg

description: :unav
DOI: 10.35078/isjmlt/bjobhb
title: Cabeceira B.jpg

description: :unav
DOI: 10.35078/isjmlt/vnppan
title: Riacho D'antas A.jpg

description: :unav
DOI: 10.35078/isjmlt/awzkwn
title: Curral de Vara A.jpg

description: :unav
DOI: 10.35078/isjmlt/kvjb49
title: Brejo A.jpg

description: :unav
DOI: 10.35078/isjmlt/czuvqy
title: Traçadal IV. B.jpg

description: :unav
DOI: 10.35078/oievnj/v8onbp
title: Gameleira II C.jpg

description: :unav
DOI: 10.35078/isjmlt/c0jivz
title: Estiva I. A.jpg

description: :unav
DOI: 10.35078/oievnj/4ucjob
title: Sítio A.jpg

description: :unav
DOI: 10.35078/oievnj/7olya9
title: Baixão I.A.jpg

description: :unav
DOI: 10.35078/isjmlt/ugbugl
title: Patrona B.jpg

description: :unav