cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.31057918.v1
title: Supplementary information files for article "Multi-index analysis with readiness levels for decision support in product design"

description: Supplementary files for article "Multi-index analysis with readiness levels for decision support in product design"<br><br><b>MMC S2</b><b>.</b><b> </b><b>The graphical user interface software tool is available for download as a Visual Studio 2019 .NET Framework 4.7.2 WinForms Solution. The complete source code is included together with a pre-built Windows (7, onwards) binary for immediate use</b>.<br><br>The Technology Readiness Level (TRL) was introduced by NASA in 1974 to measure the technical maturity of equipment deployment in space missions. It has since been widely adopted for the assessment of technical readiness in novel products and systems across many sectors. But TRL does not capture all the dimensions needed to assess the maturity and suitability for production of a given product concept. Additional metrics have been proposed to measure other design parameters, but we note the lack of a comprehensive mechanism capable of assessing together all the parameters that affect the potential for success or failure of a product. In this article we propose the novel Multi-Index Analysis (MIA) methodology that maps existing metrics onto one comprehensive single index. In this work we demonstrate the application of MIA with 10 known metrics comprising 39 design dimensions to demonstrate that this approach enables a multi-factor analysis that is not possible with individual metrics. We detail four general cases for the application of this index including the single evaluation of one or more product design concepts, and the multiple evaluations of one or more product concepts made over time. Multiple evaluations yield trend data and this can aid in predicting the likely success of a product concept over its lifecycle. Modelling and predicting the evolution of MIA scores for different product concepts at an early stage of design enables an optimum solution to be selected and crafted. We provide a software tool to enable convenient MIA assessment.<br><br>© The Author(s) 2024, CC BY 4.0.
DOI: 10.34810/data1899
title: Replication Data for: Spatial taphonomy of a Perissodactyl assemblage at the Camp dels Ninots deposit (Pliocene, Spain)

description: This dataset contains the results of the macroscopic taphonomic analysis carried out on 6 individuals of Tapirus arvernensis and 1 individual of Stephanorhinus cf. jeanvireti from the Pliocene deposit of Camp dels Ninots (Girona, Spain).
The taphonomic approach is explained in a simplified chart; for more details, see Grandi et al. (under review). The dataset comprises all the data used to prepare the graphics and tables. Every skeletal element from every individual is recorded and analysed independently and appears in the list with all the relative information (Year, Individual, Element number, Sector, Pit, Layer, Anatomical Data, and Taphonomic Data). A glossary with the detailed meaning of each term is also included.
3D interactive models with spatial distribution and taphonomic results are included. Download and open as webpages.
description: Rstudio, 2025.09.1 build 401
description: R Studio Plotly Library, 4.11.0
description: Microsoft Excel, 2411 build 16.0.18227.20082
DOI: 10.15468/dl.kwbsjk
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.26.43_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008708-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18243244
title: Aristida laevis (Nees) Kunth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18243245
title: Aristida laevis (Nees) Kunth. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.34740/kaggle/dsv/13862704
title: feature-representation-malware-detection
DOI: 10.5281/zenodo.18243252
title: Aristida longiseta Steud. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18243251
title: Aristida longiseta Steud. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.15468/dl.f6mwby
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.12.18_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008709-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18243255
title: Aristida macrantha Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18243256
title: Aristida macrantha Hack. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.3886/e244107
title: School Of Nursing (S.O.N.), Parklane Hospital, Enugu 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), Parklane Hospital, Enugu 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.15468/dl.5a7f4d
title: Occurrence Download

description: A dataset containing 121705 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capsicum"
 ]
}

 The dataset includes 121705 records from 909 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008665-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15294534
title: Piat Solar Photovoltaic Systems, Algeria

description: Description:

This dataset supports the research article "Globally Scalable, QGIS-Integrated Workflow for Solar Photovoltaic System Segmentation and Capacity Estimation: A Case Study in Algeria." It provides geospatial data of segmented solar photovoltaic (PV) systems located in the Piat region of Algeria. The data was generated using a deep learning-based segmentation approach (DeepLabV3+ with a ResNet backbone) and applied through the Deepness plugin integrated into the QGIS environment.

Each identified PV system is represented as a polygon geometry in GeoJSON format, reflecting the segmented outlines of the PV installations. Estimated installed capacities are included, calculated based on a regionally adapted power density factor of 73.5 MWp/km². Additionally, the dataset contains official capacity values reported by operators and the corresponding relative error between the estimated and official values. The dataset is intended for use in renewable energy studies, remote sensing validation, geospatial analysis, and energy infrastructure planning.

 

Contents:





File: piat_pv.geojson


Contents: Polygon geometries representing the segmented outlines of individual photovoltaic (PV) systems.



Format: GeoJSON




Attributes:





id: Unique identifier for each PV system




layer: Name of the PV system or location (e.g., project name)




area_km2: Surface area in square kilometers




capacity_MWp: Estimated installed capacity in megawatt-peak (MWp) based on area




capacity_official_MWp: Official installed capacity reported by the operator




relative_error_percent: Relative estimation error compared to the official capacity (in %)






Coordinate Reference System (CRS): EPSG:4326 (WGS 84)



 

Usage License:

The dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.Users are free to share and adapt the material provided appropriate credit is given.

 

Suggested Citation:

Maximilian Kleebauer, Dataset: Piat Solar Photovoltaic Systems, Algeria, 2025, Zenodo, DOI: [10.5281/zenodo.15294535].
DOI: 10.5281/zenodo.15294535
title: Piat Solar Photovoltaic Systems, Algeria

description: Description:

This dataset supports the research article "Globally Scalable, QGIS-Integrated Workflow for Solar Photovoltaic System Segmentation and Capacity Estimation: A Case Study in Algeria." It provides geospatial data of segmented solar photovoltaic (PV) systems located in the Piat region of Algeria. The data was generated using a deep learning-based segmentation approach (DeepLabV3+ with a ResNet backbone) and applied through the Deepness plugin integrated into the QGIS environment.

Each identified PV system is represented as a polygon geometry in GeoJSON format, reflecting the segmented outlines of the PV installations. Estimated installed capacities are included, calculated based on a regionally adapted power density factor of 73.5 MWp/km². Additionally, the dataset contains official capacity values reported by operators and the corresponding relative error between the estimated and official values. The dataset is intended for use in renewable energy studies, remote sensing validation, geospatial analysis, and energy infrastructure planning.

 

Contents:





File: piat_pv.geojson


Contents: Polygon geometries representing the segmented outlines of individual photovoltaic (PV) systems.



Format: GeoJSON




Attributes:





id: Unique identifier for each PV system




layer: Name of the PV system or location (e.g., project name)




area_km2: Surface area in square kilometers




capacity_MWp: Estimated installed capacity in megawatt-peak (MWp) based on area




capacity_official_MWp: Official installed capacity reported by the operator




relative_error_percent: Relative estimation error compared to the official capacity (in %)






Coordinate Reference System (CRS): EPSG:4326 (WGS 84)



 

Usage License:

The dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.Users are free to share and adapt the material provided appropriate credit is given.

 

Suggested Citation:

Maximilian Kleebauer, Dataset: Piat Solar Photovoltaic Systems, Algeria, 2025, Zenodo, DOI: [10.5281/zenodo.15294535].
DOI: 10.15468/dl.2j3m78
title: Occurrence Download

description: A dataset containing 820787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 820787 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002138-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vztnn
title: Occurrence Download

description: A dataset containing 41291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pittosporum undulatum Vent."
 ]
}

 The dataset includes 41291 records from 330 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031015-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsy2dp
title: Occurrence Download

description: A dataset containing 2515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "Geometry POLYGON((-68.63777 -21.81952,-67.91107 -21.81952,-67.91107 -21.05839,-68.63777 -21.05839,-68.63777 -21.81952))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2515 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031019-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jugmza
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.30902 19.05589,-98.19842 19.05589,-98.19842 19.12972,-98.30902 19.12972,-98.30902 19.05589))",
 "HasCoordinate is true",
 "IucnRedListCategory is one of (CR, EN)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031025-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2nvd3
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus ×blireiana Andr"
 ]
}

 The dataset includes 35 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031022-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prpszf
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "PublishedByGbifRegion is Latin America and the Caribbean",
 "PublishingOrg is one of (fee3882f-5360-4f01-a1ca-767c48fa629c, ff90b050-c256-11db-b71b-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Vanilla planifolia Andrews"
 ]
}

 The dataset includes 532 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031026-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hsbx9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Milvago chimango (Vieillot, 1816)",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031030-250426092105405/datasets/export for details.
DOI: 10.15468/dl.vx9p6k
title: Occurrence Download

description: A dataset containing 6415112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 6415112 records from 1001 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031010-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbzxv8
title: Occurrence Download

description: A dataset containing 21232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer palmatum Thunb."
 ]
}

 The dataset includes 21232 records from 493 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031028-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17453821
title: Supplementary Materials for the Article: HOTAIR lncRNA Variants Are Associated with Psoriasis Susceptibility: A Case-Control Study (Tables 1–9, Figure 1)

description: Supplementary Materials - HOTAIR lncRNA Variants Are Associated with Psoriasis Susceptibility: A Case-Control Study
description: Supplementary Figure 1.

Opis: Q–Q plots (A–F) for continuous variables used in group comparisons (assumption check for normality).

Supplementary Table 1. 

Opis: Assumption checks for continuous variables (Shapiro–Wilk, Levene; summary-choice rules and test decisions).

Supplementary Table 2. 

Opis: Hardy–Weinberg equilibrium in cases and controls (Pearson’s χ², two-sided exact and mid-P p-values; ACEM p-format).

Supplementary Table 3. 

Opis: Multicollinearity diagnostics (VIF/tolerance) for logistic regression covariates and SNP terms.

Supplementary Table 4. 

Opis: Model discrimination (ROC–AUC with 95% CIs) for prespecified logistic models.

Supplementary Table 5. 

Opis: Influence and outlier diagnostics (standardized residuals, leverage/hat, Cook’s distance, DFBETAs).

Supplementary Table 6. 

Opis: Robustness refits excluding high-leverage observations (aOR with 95% CIs; Wald and LRT p; Hosmer–Lemeshow p; Nagelkerke R²).

Supplementary Table 7. 

Opis: Case-only genotype × binary clinical endpoints (2×3 Pearson’s χ² with Linear-by-Linear trend; minimum expected counts reported).

Supplementary Table 8. 

Opis: Dominant-model sensitivity analyses (2×2; unadjusted OR with 95% CIs; Fisher’s exact, two-sided p-values).

Supplementary Table 9.

Opis: Case-only continuous endpoints vs genotype dose (Spearman’s ρ and p for PASI, age at onset, disease duration, BMI).
DOI: 10.15468/dl.g2t7fg
title: Occurrence Download

description: A dataset containing 300644 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorghum Moench"
 ]
}

 The dataset includes 300644 records from 1357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002509-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfzd24
title: Occurrence Download

description: A dataset containing 6537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macroptilium atropurpureum (DC.) Urb.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 6537 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012078-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/c9rr0-xhy73
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-10-22</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-55.0°, 55.0°), step: 1°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-84/rawdata/</p>Fjoh1_44.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-84/rawdata/Fjoh1_44.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjoh1_44_full.rec,  Reconstruction (Pixel Size 1.56 nm), 267.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-84/3dimage_98330/Fjoh1_44_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/6hwx9-8hx95
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-10-22</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 2°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-118/rawdata/</p>Fjoh2_15.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.6 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-118/rawdata/Fjoh2_15.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjoh2_15_full.rec,  Reconstruction (Pixel Size 1.56 nm), 267.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-10-22-118/3dimage_98396/Fjoh2_15_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/xabm3-5v508
title: Unspecified

description: Raw data files of Unspecified
description: <strong>Tilt Series Date:</strong> 2018-11-08</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-57.0°, 57.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-41/rawdata/</p>Fjoh4_08.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-41/rawdata/Fjoh4_08.mrc"
        > <i class="download icon"></i> Download </a></p>

        Fjoh4_08_full.rec,  Reconstruction (Pixel Size 1.56 nm), 267.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-11-08-41/3dimage_98509/Fjoh4_08_full.rec"
        > <i class="download icon"></i> Download </a></p>