cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/y1fah-snd77
title: Sulfolobus solfataricus

description: STIV - infected Sulfolobus solfataricus, Sulfolobus turreted icosahedral virus, Taxonomy ID 269145, Sulfolobus solfataricus, thermophile, pyramid, intrapyramidal body, virus infection
description: <strong>Tilt Series Date:</strong> 2010-01-04</p>
<strong>Data Taken By:</strong> Lu Gan</p>
<strong>Species / Specimen:</strong> Sulfolobus solfataricus</p>
<strong>Strain:</strong> 2-1-12</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: None μm,  magnification: 18000x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Prepared sample: Chi-yu FuDesigned experiments: Chi-yu Fu, Kang Wang, Lu Gan, Jason Lanman, Reza Khayat, Mark J. Young, Grant J. Jensen, Peter C. Doerschuk, John E. JohnsonCollected data: Chi-yu Fu, Lu GanAnalyzed data: Chi-yu Fu, Kang Wang, Lu Gan, Jason Lanman, Reza Khayat, Mark J. Young, Grant J. Jensen, Peter C. Doerschuk, John E. Johnson</p>
<strong>Purification / Growth Conditions / Treatment:</strong> S. solfataricus strain 2-2-12 cultures were infected with STIV as previously described (Ortmann et al., 2006). Sulfolobus were grown up from glycerol stock in media 182 (pH 3.5), 80°C and passage once. The cultures were passed second time to media 182 (pH 2.5) and infected with STIV at MOI ~22 at OD 650 nm ~0.4. At 22–32 hr postinfection, cells were concentrated ~20 fold by centrifugation.</p>
<strong>Sample Preparation:</strong> Equal volume of cells were mixed with BSA-treated 10 nm gold colloidal beads and applied to plasma cleaned Quantifoil holey carbon films. The grids were plunge-frozen in liquid ethane using a Vitrobot (FEI Inc.) and stored in liquid nitrogen.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-60/rawdata/</p>5.mrc,  Tilt Series (Pixel Size 1.26 nm), 1.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-60/rawdata/5.mrc"
        > <i class="download icon"></i> Download </a></p>

        5_part122_4.rec,  Reconstruction (Pixel Size 2.52 nm), 629.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-60/3dimage_24437/5_part122_4.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/bwac0-6fb35
title: Sulfolobus solfataricus

description: STIV - infected Sulfolobus solfataricus, Sulfolobus turreted icosahedral virus, Taxonomy ID 269145, Sulfolobus solfataricus, thermophile, pyramid, intrapyramidal body, virus infection
description: <strong>Tilt Series Date:</strong> 2010-01-04</p>
<strong>Data Taken By:</strong> Lu Gan</p>
<strong>Species / Specimen:</strong> Sulfolobus solfataricus</p>
<strong>Strain:</strong> 2-1-12</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: None μm,  magnification: 18000x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Prepared sample: Chi-yu FuDesigned experiments: Chi-yu Fu, Kang Wang, Lu Gan, Jason Lanman, Reza Khayat, Mark J. Young, Grant J. Jensen, Peter C. Doerschuk, John E. JohnsonCollected data: Chi-yu Fu, Lu GanAnalyzed data: Chi-yu Fu, Kang Wang, Lu Gan, Jason Lanman, Reza Khayat, Mark J. Young, Grant J. Jensen, Peter C. Doerschuk, John E. Johnson</p>
<strong>Purification / Growth Conditions / Treatment:</strong> S. solfataricus strain 2-2-12 cultures were infected with STIV as previously described (Ortmann et al., 2006). Sulfolobus were grown up from glycerol stock in media 182 (pH 3.5), 80°C and passage once. The cultures were passed second time to media 182 (pH 2.5) and infected with STIV at MOI ~22 at OD 650 nm ~0.4. At 22–32 hr postinfection, cells were concentrated ~20 fold by centrifugation.</p>
<strong>Sample Preparation:</strong> Equal volume of cells were mixed with BSA-treated 10 nm gold colloidal beads and applied to plasma cleaned Quantifoil holey carbon films. The grids were plunge-frozen in liquid ethane using a Vitrobot (FEI Inc.) and stored in liquid nitrogen.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-61/rawdata/</p>60.mrc,  Tilt Series (Pixel Size 1.26 nm), 1.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-61/rawdata/60.mrc"
        > <i class="download icon"></i> Download </a></p>

        60_part122_17.rec,  Reconstruction (Pixel Size 2.52 nm), 629.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-61/3dimage_24432/60_part122_17.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.6084/m9.figshare.30009073
title: Inocybe percastanea

description: Dataset I. percastanea alignment and tree
DOI: 10.6084/m9.figshare.30009073.v1
title: Inocybe percastanea

description: Dataset I. percastanea alignment and tree
DOI: 10.15468/dl.cqg787
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.7407 -15.8768,43.6816 -15.9401,46.1382 -15.9401,46.1382 -15.1614,46.0559 -15.2167,45.4781 -15.3105,44.725 -15.7042,43.7407 -15.8768))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006578-250827131500795/datasets/export for details.
DOI: 10.22002/ph40q-vm418
title: Sulfolobus solfataricus

description: STIV - infected Sulfolobus solfataricus, Sulfolobus turreted icosahedral virus, Taxonomy ID 269145, Sulfolobus solfataricus, thermophile, pyramid, intrapyramidal body, virus infection
description: <strong>Tilt Series Date:</strong> 2010-01-04</p>
<strong>Data Taken By:</strong> Lu Gan</p>
<strong>Species / Specimen:</strong> Sulfolobus solfataricus</p>
<strong>Strain:</strong> 2-1-12</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: None μm,  magnification: 18000x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Prepared sample: Chi-yu FuDesigned experiments: Chi-yu Fu, Kang Wang, Lu Gan, Jason Lanman, Reza Khayat, Mark J. Young, Grant J. Jensen, Peter C. Doerschuk, John E. JohnsonCollected data: Chi-yu Fu, Lu GanAnalyzed data: Chi-yu Fu, Kang Wang, Lu Gan, Jason Lanman, Reza Khayat, Mark J. Young, Grant J. Jensen, Peter C. Doerschuk, John E. Johnson</p>
<strong>Purification / Growth Conditions / Treatment:</strong> S. solfataricus strain 2-2-12 cultures were infected with STIV as previously described (Ortmann et al., 2006). Sulfolobus were grown up from glycerol stock in media 182 (pH 3.5), 80°C and passage once. The cultures were passed second time to media 182 (pH 2.5) and infected with STIV at MOI ~22 at OD 650 nm ~0.4. At 22–32 hr postinfection, cells were concentrated ~20 fold by centrifugation.</p>
<strong>Sample Preparation:</strong> Equal volume of cells were mixed with BSA-treated 10 nm gold colloidal beads and applied to plasma cleaned Quantifoil holey carbon films. The grids were plunge-frozen in liquid ethane using a Vitrobot (FEI Inc.) and stored in liquid nitrogen.</p>
  lga2010-01-04-20_slicer8541.jpg: Sulfolobus solfastaricus infected with STIV .  Unknown
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-20/rawdata/</p>22.mrc,  Tilt Series (Pixel Size 1.26 nm), 1.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-20/rawdata/22.mrc"
        > <i class="download icon"></i> Download </a></p>

        22_part122_27.rec,  Reconstruction (Pixel Size 2.52 nm), 629.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2010-01-04-20/3dimage_24396/22_part122_27.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.6084/m9.figshare.28079971
title: Meet the neighbor: framing the European Union and African Union perspectives on the Farm to Fork goals

description: The debate surrounding the Farm to Fork Strategy and the European Green Deal with the new sustainability standards proposed by the European Commission to achieve a more sustainable food system and climate-neutral continent by 2050 is increasing concerns and questions among different stakeholders along the food chain and third countries that will be impacted by these measures, if adopted. This analysis aims to expand the debate studying the different perspectives on the relationship food security/sustainability of the European Union and the African Union through the framing of the documents produced by these institutions since 2007. The results show differences in the approach about this relationship seen by the European Union as a long-term goal that looks at the protection of the environment and natural resources while the production changes to be more resilient to external shocks and market fluctuations. Meanwhile, the African Union uses a short-term approach due to the urgency felt by the continental unique environment that makes production development and adapting a priority over environmental issues. These differences need to be targeted to avoid current and future divergences that could impact on the application of the aforementioned standards and to ensure food for all without compromising the future of our ecosystems.
DOI: 10.6084/m9.figshare.28079971.v1
title: Meet the neighbor: framing the European Union and African Union perspectives on the Farm to Fork goals

description: The debate surrounding the Farm to Fork Strategy and the European Green Deal with the new sustainability standards proposed by the European Commission to achieve a more sustainable food system and climate-neutral continent by 2050 is increasing concerns and questions among different stakeholders along the food chain and third countries that will be impacted by these measures, if adopted. This analysis aims to expand the debate studying the different perspectives on the relationship food security/sustainability of the European Union and the African Union through the framing of the documents produced by these institutions since 2007. The results show differences in the approach about this relationship seen by the European Union as a long-term goal that looks at the protection of the environment and natural resources while the production changes to be more resilient to external shocks and market fluctuations. Meanwhile, the African Union uses a short-term approach due to the urgency felt by the continental unique environment that makes production development and adapting a priority over environmental issues. These differences need to be targeted to avoid current and future divergences that could impact on the application of the aforementioned standards and to ensure food for all without compromising the future of our ecosystems.
DOI: 10.5281/zenodo.16208011
title: 1 km annual forest cover and plant functional types dataset for China from 1980 to 2023

description: This dataset provides two main sets of annual raster data products for the China region at a 1 km spatial resolution: Forest Cover from 1980 to 2023, and Plant Functional Types (PFT) from 1981 to 2023. Additionally, it includes detection results for change events, including forest change (gain and loss) for the 1980–2023 period and PFT change (gain and loss) for the 1981–2023 period. These change products specify the start year and duration of each event.These data products were generated by integrating spatial constraints from multi-source remote sensing data with provincial-level statistics from China’s National Forest Inventories (NFIs). From the primary forest cover dataset, an annual PFT dataset was further developed, disaggregating the total forest cover into eight distinct types. The dataset aims to provide a high-quality, long-term, and spatially explicit forcing dataset suitable for Dynamic Global Vegetation Models (DGVMs) to support studies on China's terrestrial carbon balance, assess the ecological impacts of forest restoration, and constrain estimates of the national forest carbon sink since 1980.
description: Version 1.0.1 updates:

This version extends the temporal coverage of the Plant Functional Type (PFT) data to 2023. In this update, the spatial extent of the PFT data has also been unified for consistency across the time series. Consequently, the PFT change products, including the start year and duration for gain and loss events, have been recalculated for the entire 1981–2023 period.
DOI: 10.5281/zenodo.16991016
title: 1 km annual forest cover and plant functional types dataset for China from 1980 to 2023

description: This dataset provides two main sets of annual raster data products for the China region at a 1 km spatial resolution: Forest Cover from 1980 to 2023, and Plant Functional Types (PFT) from 1981 to 2023. Additionally, it includes detection results for change events, including forest change (gain and loss) for the 1980–2023 period and PFT change (gain and loss) for the 1981–2023 period. These change products specify the start year and duration of each event.These data products were generated by integrating spatial constraints from multi-source remote sensing data with provincial-level statistics from China’s National Forest Inventories (NFIs). From the primary forest cover dataset, an annual PFT dataset was further developed, disaggregating the total forest cover into eight distinct types. The dataset aims to provide a high-quality, long-term, and spatially explicit forcing dataset suitable for Dynamic Global Vegetation Models (DGVMs) to support studies on China's terrestrial carbon balance, assess the ecological impacts of forest restoration, and constrain estimates of the national forest carbon sink since 1980.
description: Version 1.0.1 updates:

This version extends the temporal coverage of the Plant Functional Type (PFT) data to 2023. In this update, the spatial extent of the PFT data has also been unified for consistency across the time series. Consequently, the PFT change products, including the start year and duration for gain and loss events, have been recalculated for the entire 1981–2023 period.
DOI: 10.15468/dl.tnk9am
title: Occurrence Download

description: A dataset containing 520738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artemisia vulgaris",
 "Year 1957-2022"
 ]
}

 The dataset includes 520738 records from 2554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006541-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcwdrh
title: Occurrence Download

description: A dataset containing 103180 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RBINS Bird collection"
 ]
}

 The dataset includes 103180 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022432-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ra3am2
title: Occurrence Download

description: A dataset containing 2111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odocoileus virginianus (Zimmermann, 1780)",
 "Year 2010-2025"
 ]
}

 The dataset includes 2111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022449-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14068162
title: Castelcivita ZooMS MALDI-TOF data files
DOI: 10.5281/zenodo.14068163
title: Castelcivita ZooMS MALDI-TOF data files
DOI: 10.15468/dl.h34w6m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus verloreni Chakona, Swartz & Skelton, 2014",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022450-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8bh73d
title: Occurrence Download

description: A dataset containing 1106453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus goiavier (Scopoli, 1786), Pycnonotus jocosus (Linnaeus, 1758), Pycnonotus leucogenys (J.E.Gray, 1835), Pycnonotus sinensis (Gmelin, 1789), Pycnonotus taivanus Styan, 1893, Pycnonotus xanthorrhous Anderson, 1869, Pycnonotus flaviventris (Tickell, 1833), Spizixos canifrons Blyth, 1845, Spizixos semitorques Swinhoe, 1861, Regulus goodfellowi Ogilvie-Grant, 1906, Regulus regulus (Linnaeus, 1758), Remiz consobrinus (Swinhoe, 1870), Remiz coronatus (Severtzov, 1873), Remiz macronyx (Severtzov, 1873), Rhipidura albicollis (Vieillot, 1818), Rhipidura aureola Lesson, 1831, Rhipidura nigritorquis Vigors, 1831, Abroscopus albogularis (Moore, 1854), Abroscopus schisticeps (J.E.Gray & G.R.Gray, 1847), Abroscopus superciliaris (Blyth, 1859), Cettia brunnifrons (Hodgson, 1845), Cettia castaneocoronata (Burton, 1836), Cettia cetti (Temminck, 1820), Cettia major (Moore, 1854), Urosphena pallidipes (Blanford, 1872), Horornis acanthizoides (J.Verreaux, 1870), Horornis brunnescens (Hume, 1872), Horornis diphone (Kittlitz, 1830), Horornis diphone (Kittlitz, 1830), Horornis flavolivaceus (Blyth, 1845))",
 "Geometry POLYGON((73.5208333 16.6625,135.0791667 16.6625,135.0791667 53.5541667,73.5208333 53.5541667,73.5208333 16.6625))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)"
 ]
}

 The dataset includes 1106453 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021457-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/data/5gdkxk
title: Microenvironmental Confinement Drives Density-Dependent Neuron-Like Cell Proliferation and Contact-Dependent Neurite Outgrowth [data]

description: This dataset accompanies the manuscript entitled "Microenvironmental Confinement Drives Density-Dependent Neuron-Like Cell Proliferation and Contact-Dependent Neurite Outgrowth," and contains microscopy images (*.tiff) and associated raw tracing data (*.csv, \*.swc, *.traces) collected using Fiji's Simple Neurite Tracer plugin. Data was generated from PC12 cells cultured within 3D-printed confinement structures, acquired using an Olympus IX-81 inverted microscope. Python scripts (*.py) are provided to replicate analyses such as data filtering, statistical testing, and figure generation described in the manuscript. The dataset is structured by experiment IDs and days in vitro (DIV), facilitating detailed examination of neuron-like cell proliferation and neurite growth patterns under varied confinement conditions.
DOI: 10.22008/fk2/sy7cs3/vbm4xh
title: G250_Qarajaq_Isfjord_Jakobshavn_Isfjord_400dpi.pdf

description: :unav
DOI: 10.22008/fk2/sy7cs3/b6d7qx
title: G250_Qarajaq_Isjford_Jakobshavn_Isfjord_400dpi.tif

description: :unav