cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.568bnr
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Phymaturus maulense Nuñez, Veloso, Espejo, Veloso, Cortes & Araya, 2010"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054455-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15784/601945
title: 2024-2025 I-187 End of season science report

description: End of season science report for Allan Hills, Antarctica shallow drilling team (I-187). Report covers logistics, ice cores drilled, geophysics conducted, and lessons learned from the season.
DOI: 10.15468/dl.jwkvjz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes oblongella Ostrup, 1902",
 "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 ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054456-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29354690
title: Data file - Geopolitical Risk on the Firm-Level

description: Increasing geopolitical tensions and conflicts can cause disruptions for business operations. So, how do firms perceive geopolitical risk? The risk can differ between firms, but measurements focus primarily on the macro-level. Therefore, we introduce a new index to measure risk perceptions on the firm-level that we apply to Belgian public firms. To construct the index, we use a text-based content analysis method with a tailored dictionary. We use the index to examine whether geopolitical risk differs between firms and sectors, what the drivers of the risk are in high firms that experience high risk, and how the risk evolves over time. The study contributes to both the economic and security literature by introducing a new index and by creating and exploring new data on Belgian public firms. In addition, the index could become a helpful tool for policy makers that want to finetune their decisions on economic and security policy.
DOI: 10.6084/m9.figshare.29354690.v2
title: Data file - Geopolitical Risk on the Firm-Level

description: Increasing geopolitical tensions and conflicts can cause disruptions for business operations. So, how do firms perceive geopolitical risk? The risk can differ between firms, but measurements focus primarily on the macro-level. Therefore, we introduce a new index to measure risk perceptions on the firm-level that we apply to Belgian public firms. To construct the index, we use a text-based content analysis method with a tailored dictionary. We use the index to examine whether geopolitical risk differs between firms and sectors, what the drivers of the risk are in high firms that experience high risk, and how the risk evolves over time. The study contributes to both the economic and security literature by introducing a new index and by creating and exploring new data on Belgian public firms. In addition, the index could become a helpful tool for policy makers that want to finetune their decisions on economic and security policy.
DOI: 10.6084/m9.figshare.29354690.v1
title: Geopolitical Risk on the Firm-Level

description: Increasing geopolitical tensions and conflicts can cause disruptions for business operations. So, how do firms perceive geopolitical risk? The risk can differ between firms, but measurements focus primarily on the macro-level. Therefore, we introduce a new index to measure risk perceptions on the firm-level that we apply to Belgian public firms. To construct the index, we use a text-based content analysis method with a tailored dictionary. We use the index to examine whether geopolitical risk differs between firms and sectors, what the drivers of the risk are in high firms that experience high risk, and how the risk evolves over time. The study contributes to both the economic and security literature by introducing a new index and by creating and exploring new data on Belgian public firms. In addition, the index could become a helpful tool for policy makers that want to finetune their decisions on economic and security policy.
DOI: 10.15468/dl.dzj37p
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Apuleia grazielana Afr.Fern."
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054457-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qbmja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes oblongella Ostrup, 1902",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054458-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ge7nap
title: Occurrence Download

description: A dataset containing 44 records in GBIF matching the query:

SELECT "specieskey", MIN("year") AS "gimme"
FROM occurrence
WHERE (
 "decimallongitude" &gt;= 87.7431640625 AND "decimallongitude" &lt;= 119.8978515625 AND
 "decimallatitude" &gt;= 41.5955078125 AND "decimallatitude" &lt;= 52.11728515625 AND
 "specieskey" IN ('5206304', '9809222', '5799830', '5353770', '5752155', '3050364', '3092946', '5361880', '3083838', '3034807', '2350989', '2351136', '3034871', '3098912', '2362030', '4286975', '5387142', '1733415', '1878490', '6993544', '2346633', '8203538', '6391461', '3034922', '5359660', '2181914', '2366314', '1817797', '2362473', '7403263', '1042887', '5350010', '1047536', '9436362', '5334242', '1820406', '2971095', '7429082', '2433652', '1095760', '5219858', '5358256', '5358266', '3173260', '2703459', '1043875', '2129352', '8262702', '2390064', '7828157', '7821030', '1095795', '2439261', '2377618', '2888995', '2926885', '2705966', '3108983', '5289684', '2337594', '3047598', '1170174', '9915023', '1849209', '2705181', '2705184', '3083647', '4287003', '1095652', '5394163', '1045843', '2130185', '1857626', '2012132', '7987689', '2181932', '3171949')
)
GROUP BY "specieskey"


 The dataset's 44 records were derived from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054449-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2r543
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Phymaturus nevadoi Cei & Roig, 1975"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054459-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15691337
title: A Framework for Synthetic ICH to Assess AI Generalizability

description: Synthetic intracranial hemorrhage (ICH) datasets and artificial intelligence model files to recreate figures found in Knowledge-based synthetic intracranial hemorrhage CT datasets for device evaluations and generalizability assessments (under submission) using the Jupyter Notebooks found in the manuscript repository.

This repository contains the dataset used to reproduce the results presented in the paper: Knowledge-based synthetic intracranial hemorrhage CT datasets for device evaluations and generalizability assessments (preprint in Files).

Deep learning models for Computer-Assisted Detection (CAD) of intracranial hemorrhage (ICH) often struggle with generalizability when encountering CT data with characteristics underrepresented in their training sets (e.g., variations in patient demographics, hemorrhage types, or image acquisition parameters).

This project introduces an open-source framework to:



Generate synthetic ICH CT data by inserting realistic, modeled hemorrhages (epidural, subdural, intraparenchymal) into a digital head phantom.

Simulate mass effect and control hemorrhage volume and attenuation based on real data distributions.

Create datasets with varied CT acquisition parameters (mAs, kVp) to robustly evaluate the generalizability of ICH detection models.


Our work validates this approach by demonstrating comparable performance of an ICH detection model on our synthetic dataset (AUC 0.877) versus an independent real dataset (AUC 0.919). This framework enables more comprehensive testing and evaluation of CAD devices for ICH.
DOI: 10.5281/zenodo.15262208
title: Vegetation_line_HAZ_data

description: We share our data and code as supporting information for the manuscript submission titled 'Altitudinal Shifts in Alpine Vegetation Line Across the Himalaya Over the Past Two Decades'.
DOI: 10.5281/zenodo.15262209
title: Vegetation_line_HAZ_data

description: We share our data and code as supporting information for the manuscript submission titled 'Altitudinal Shifts in Alpine Vegetation Line Across the Himalaya Over the Past Two Decades'.
DOI: 10.15468/dl.x7q7bk
title: Occurrence Download

description: A dataset containing 811840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cirsium vulgare (Savi) Ten."
 ]
}

 The dataset includes 811840 records from 2965 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054446-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-935/49
title: DSC02051.ARW

description: :unav
DOI: 10.18419/darus-935/50
title: DSC02033.ARW

description: :unav
DOI: 10.18419/darus-935/51
title: DSC02059.ARW

description: :unav
DOI: 10.18419/darus-935/52
title: DSC02058.ARW

description: :unav
DOI: 10.18419/darus-935/53
title: DSC02039.ARW

description: :unav
DOI: 10.18419/darus-935/54
title: DSC02050.JPG

description: :unav
DOI: 10.18419/darus-935/55
title: DSC02054.ARW

description: :unav
DOI: 10.18419/darus-935/56
title: DSC02052.ARW

description: :unav
DOI: 10.18419/darus-935/57
title: DSC02038.ARW

description: :unav
DOI: 10.18419/darus-935/58
title: DSC02041.ARW

description: :unav
DOI: 10.18419/darus-935/59
title: DSC02045.ARW

description: :unav
DOI: 10.18419/darus-935/60
title: DSC02042.JPG

description: :unav
DOI: 10.18419/darus-935/61
title: DSC02055.ARW

description: :unav
DOI: 10.18419/darus-935/62
title: DSC02038.JPG

description: :unav
DOI: 10.18419/darus-935/63
title: DSC02048.JPG

description: :unav
DOI: 10.18419/darus-935/64
title: DSC02030.JPG

description: :unav
DOI: 10.18419/darus-935
title: 2D pictures of WZ12-10

description: Dataset contains all pictures (.jpg; .arw) that were taken during the 2D digitisation strategy for this object. Order of data: object was digitised according to a digitisation schema visible within the Datasetcharacteristic view, front view, left view, back view, right view,bottom view, upward view, details (details 1, details 2, ..., details n) This schema is indicated within the pictures by inventory label and then labels according to view. Further information one can find in the document: Setting and workflow for basic development of 2D.This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", doi: 10.18419/darus-gyrolog, DaRUS.
DOI: 10.18419/darus-935/65
title: DSC02045.JPG

description: :unav
DOI: 10.18419/darus-935/66
title: DSC02046.JPG

description: :unav
DOI: 10.18419/darus-964/1
title: DSC04181.JPG

description: :unav
DOI: 10.18419/darus-964/2
title: DSC04190.JPG

description: :unav
DOI: 10.18419/darus-964/3
title: DSC04174.ARW

description: :unav
DOI: 10.18419/darus-964/4
title: DSC04179.JPG

description: :unav
DOI: 10.18419/darus-964/5
title: DSC04189.JPG

description: :unav
DOI: 10.18419/darus-964/6
title: DSC04185.ARW

description: :unav
DOI: 10.18419/darus-964/7
title: DSC04169.JPG

description: :unav
DOI: 10.18419/darus-964/8
title: DSC04181.ARW

description: :unav
DOI: 10.18419/darus-964/9
title: DSC04184.ARW

description: :unav
DOI: 10.18419/darus-964/10
title: DSC04179.ARW

description: :unav
DOI: 10.18419/darus-964/11
title: DSC04167.ARW

description: :unav
DOI: 10.18419/darus-964/12
title: DSC04187.ARW

description: :unav
DOI: 10.18419/darus-964/13
title: DSC04171.ARW

description: :unav
DOI: 10.18419/darus-964/14
title: DSC04178.JPG

description: :unav
DOI: 10.18419/darus-964/15
title: DSC04164.JPG

description: :unav
DOI: 10.18419/darus-964/16
title: DSC04165.JPG

description: :unav
DOI: 10.18419/darus-964/17
title: DSC04164.ARW

description: :unav
DOI: 10.18419/darus-964/18
title: DSC04163.JPG

description: :unav
DOI: 10.18419/darus-964/19
title: DSC04159.JPG

description: :unav
DOI: 10.18419/darus-964/20
title: DSC04186.JPG

description: :unav
DOI: 10.18419/darus-964/21
title: DSC04171.JPG

description: :unav
DOI: 10.18419/darus-964/22
title: DSC04163.ARW

description: :unav
DOI: 10.18419/darus-964/23
title: DSC04189.ARW

description: :unav
DOI: 10.18419/darus-964/24
title: DSC04191.JPG

description: :unav
DOI: 10.18419/darus-964/25
title: DSC04168.ARW

description: :unav
DOI: 10.18419/darus-964/26
title: DSC04192.JPG

description: :unav
DOI: 10.18419/darus-964/27
title: DSC04172.ARW

description: :unav
DOI: 10.18419/darus-964/28
title: DSC04176.JPG

description: :unav
DOI: 10.18419/darus-964/29
title: DSC04172.JPG

description: :unav
DOI: 10.18419/darus-964/30
title: DSC04159.ARW

description: :unav
DOI: 10.18419/darus-964/31
title: DSC04188.ARW

description: :unav
DOI: 10.18419/darus-964/32
title: DSC04173.ARW

description: :unav
DOI: 10.18419/darus-964/33
title: DSC04166.JPG

description: :unav
DOI: 10.18419/darus-964/34
title: DSC04185.JPG

description: :unav
DOI: 10.18419/darus-964/35
title: DSC04184.JPG

description: :unav
DOI: 10.18419/darus-964/36
title: DSC04167.JPG

description: :unav
DOI: 10.18419/darus-964/37
title: DSC04183.ARW

description: :unav
DOI: 10.18419/darus-964/38
title: DSC04173.JPG

description: :unav
DOI: 10.18419/darus-964/39
title: DSC04158.JPG

description: :unav
DOI: 10.18419/darus-964/40
title: DSC04174.JPG

description: :unav
DOI: 10.18419/darus-964/41
title: DSC04160.ARW

description: :unav
DOI: 10.18419/darus-964/42
title: DSC04182.ARW

description: :unav
DOI: 10.18419/darus-964/43
title: DSC04158.ARW

description: :unav
DOI: 10.18419/darus-964/44
title: DSC04160.JPG

description: :unav
DOI: 10.18419/darus-964/45
title: DSC04182.JPG

description: :unav
DOI: 10.18419/darus-964/46
title: DSC04169.ARW

description: :unav
DOI: 10.18419/darus-964/47
title: DSC04175.ARW

description: :unav
DOI: 10.18419/darus-964/48
title: DSC04161.JPG

description: :unav
DOI: 10.18419/darus-964/49
title: DSC04188.JPG

description: :unav
DOI: 10.18419/darus-964/50
title: DSC04187.JPG

description: :unav
DOI: 10.18419/darus-964/51
title: DSC04186.ARW

description: :unav
DOI: 10.18419/darus-964/52
title: DSC04157.JPG

description: :unav
DOI: 10.18419/darus-964/53
title: DSC04183.JPG

description: :unav
DOI: 10.18419/darus-964/54
title: DSC04178.ARW

description: :unav
DOI: 10.18419/darus-964/55
title: DSC04176.ARW

description: :unav
DOI: 10.18419/darus-964/56
title: DSC04165.ARW

description: :unav
DOI: 10.18419/darus-964/57
title: DSC04168.JPG

description: :unav
DOI: 10.18419/darus-964/58
title: DSC04177.ARW

description: :unav
DOI: 10.18419/darus-964/59
title: DSC04190.ARW

description: :unav
DOI: 10.18419/darus-964/60
title: DSC04162.JPG

description: :unav
DOI: 10.18419/darus-964/61
title: DSC04192.ARW

description: :unav
DOI: 10.18419/darus-964/62
title: DSC04191.ARW

description: :unav
DOI: 10.18419/darus-964/63
title: DSC04175.JPG

description: :unav
DOI: 10.18419/darus-964/64
title: DSC04180.ARW

description: :unav
DOI: 10.18419/darus-964/65
title: DSC04161.ARW

description: :unav
DOI: 10.18419/darus-964/66
title: DSC04166.ARW

description: :unav
DOI: 10.18419/darus-964/67
title: DSC04162.ARW

description: :unav
DOI: 10.18419/darus-964/68
title: DSC04180.JPG

description: :unav
DOI: 10.18419/darus-964
title: 2D pictures of KH17-09

description: Dataset contains all pictures (.jpg; .arw) that were taken during the 2D digitisation strategy for this object. Order of data: object was digitised according to a digitisation schema visible within the Datasetcharacteristic view, front view, left view, back view, right view,bottom view, upward view, details (details 1, details 2, ..., details n) This schema is indicated within the pictures by inventory label and then labels according to view. Further information one can find in the document: Setting and workflow for basic development of 2D.This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", doi: 10.18419/darus-gyrolog, DaRUS.
DOI: 10.18419/darus-964/69
title: DSC04177.JPG

description: :unav
DOI: 10.18419/darus-899/1
title: DSC04269.JPG

description: :unav
DOI: 10.18419/darus-899/2
title: DSC04257.ARW

description: :unav
DOI: 10.18419/darus-899/3
title: DSC04270.JPG

description: :unav
DOI: 10.18419/darus-899/4
title: DSC04277.JPG

description: :unav
DOI: 10.18419/darus-899/5
title: DSC04288.ARW

description: :unav
DOI: 10.18419/darus-899/6
title: DSC04257.JPG

description: :unav
DOI: 10.18419/darus-899/7
title: DSC04287.JPG

description: :unav
DOI: 10.18419/darus-899/8
title: DSC04273.JPG

description: :unav
DOI: 10.18419/darus-899/9
title: DSC04279.ARW

description: :unav
DOI: 10.18419/darus-899/10
title: DSC04282.ARW

description: :unav
DOI: 10.18419/darus-899/11
title: DSC04262.JPG

description: :unav
DOI: 10.18419/darus-899/12
title: DSC04282.JPG

description: :unav
DOI: 10.18419/darus-899/13
title: DSC04288.JPG

description: :unav
DOI: 10.18419/darus-899/14
title: DSC04275.ARW

description: :unav
DOI: 10.18419/darus-899/15
title: DSC04284.ARW

description: :unav
DOI: 10.18419/darus-899/16
title: DSC04260.ARW

description: :unav
DOI: 10.18419/darus-899/17
title: DSC04259.ARW

description: :unav
DOI: 10.18419/darus-899/18
title: DSC04256.JPG

description: :unav
DOI: 10.18419/darus-899/19
title: DSC04262.ARW

description: :unav
DOI: 10.18419/darus-899/20
title: DSC04272.ARW

description: :unav
DOI: 10.18419/darus-899/21
title: DSC04261.JPG

description: :unav
DOI: 10.18419/darus-899/22
title: DSC04267.JPG

description: :unav
DOI: 10.18419/darus-899/23
title: DSC04278.JPG

description: :unav
DOI: 10.18419/darus-899/24
title: DSC04286.ARW

description: :unav
DOI: 10.18419/darus-899/25
title: DSC04263.ARW

description: :unav
DOI: 10.18419/darus-899/26
title: DSC04269.ARW

description: :unav
DOI: 10.18419/darus-899/27
title: DSC04285.JPG

description: :unav
DOI: 10.18419/darus-899/28
title: DSC04263.JPG

description: :unav
DOI: 10.18419/darus-899/29
title: DSC04264.ARW

description: :unav
DOI: 10.18419/darus-899/30
title: DSC04259.JPG

description: :unav
DOI: 10.18419/darus-899/31
title: DSC04285.ARW

description: :unav
DOI: 10.18419/darus-899/32
title: DSC04275.JPG

description: :unav
DOI: 10.18419/darus-899/33
title: DSC04265.ARW

description: :unav
DOI: 10.18419/darus-899/34
title: DSC04281.ARW

description: :unav
DOI: 10.18419/darus-899/35
title: DSC04255.JPG

description: :unav
DOI: 10.18419/darus-899/36
title: DSC04278.ARW

description: :unav
DOI: 10.18419/darus-899/37
title: DSC04260.JPG

description: :unav
DOI: 10.18419/darus-899/38
title: DSC04283.JPG

description: :unav
DOI: 10.18419/darus-899/39
title: DSC04280.ARW

description: :unav
DOI: 10.18419/darus-899/40
title: DSC04284.JPG

description: :unav
DOI: 10.18419/darus-899/41
title: DSC04266.JPG

description: :unav
DOI: 10.18419/darus-899/42
title: DSC04270.ARW

description: :unav
DOI: 10.18419/darus-899/43
title: DSC04281.JPG

description: :unav
DOI: 10.18419/darus-899/44
title: DSC04258.JPG

description: :unav
DOI: 10.18419/darus-899/45
title: DSC04268.JPG

description: :unav
DOI: 10.18419/darus-899/46
title: DSC04271.JPG

description: :unav
DOI: 10.18419/darus-899/47
title: DSC04266.ARW

description: :unav
DOI: 10.18419/darus-899/48
title: DSC04277.ARW

description: :unav
DOI: 10.18419/darus-899/49
title: DSC04258.ARW

description: :unav
DOI: 10.18419/darus-899/50
title: DSC04261.ARW

description: :unav
DOI: 10.18419/darus-899/51
title: DSC04274.JPG

description: :unav
DOI: 10.18419/darus-899/52
title: DSC04271.ARW

description: :unav
DOI: 10.18419/darus-899/53
title: DSC04256.ARW

description: :unav
DOI: 10.18419/darus-899/54
title: DSC04264.JPG

description: :unav
DOI: 10.18419/darus-899/55
title: DSC04286.JPG

description: :unav
DOI: 10.18419/darus-899/56
title: DSC04287.ARW

description: :unav
DOI: 10.18419/darus-899/57
title: DSC04280.JPG

description: :unav
DOI: 10.18419/darus-899/58
title: DSC04274.ARW

description: :unav
DOI: 10.18419/darus-899/59
title: DSC04268.ARW

description: :unav
DOI: 10.18419/darus-899/60
title: DSC04255.ARW

description: :unav
DOI: 10.18419/darus-899/61
title: DSC04265.JPG

description: :unav
DOI: 10.18419/darus-899/62
title: DSC04272.JPG

description: :unav
DOI: 10.18419/darus-899/63
title: DSC04276.JPG

description: :unav
DOI: 10.18419/darus-899/64
title: DSC04289.JPG

description: :unav
DOI: 10.18419/darus-899/65
title: DSC04276.ARW

description: :unav
DOI: 10.18419/darus-899/66
title: DSC04283.ARW

description: :unav
DOI: 10.18419/darus-899/67
title: DSC04273.ARW

description: :unav
DOI: 10.18419/darus-899/68
title: DSC04279.JPG

description: :unav