cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8341365
title: Baixada Santista 2020 event analysis - Attribution and Synopsis of Landslide Impacts from Precipitation

description: Dataset used for the Baixada Santista 2020 event analysis during the Attribution and Synopsis of Landslide Impacts from Precipitation (ASLIP) Workshop as part of the Climate Science for Service Partnership Brazil. Notes: impact_data: data from land cover change (retrieved from https://brasil.mapbiomas.org/), socioeconomic impacts (https://s2id.mi.gov.br/) and susceptibility to landslides (https://www.cprm.gov.br/) df_rxmax_climat: data from HadGEM3 (15 members) and CPC for the climatological period of study df_rxmax_event: data from HadGEM3 (525 members) and CPC for the event occurred in March 2020 pluviometer_analysis_historical: data processing scripts and precipitation observational data soilMoistureCPC_data: mean integrated soil moisture data from SMAP and precipitation data from CPC for the studied area
DOI: 10.5281/zenodo.8343984
title: Development and validation of a novel plasmid chassis system for screening of metabolite-responsive transcription factors

description: This dataset contains the raw data that lie at the basis of the results discussed in <strong>Chapter 3: Development and validation of a novel plasmid chassis system for screening of metabolite-responsive transcription factors </strong>of the PhD thesis of Amber Bernauw. The README.txt file provides more information on the different data files.
DOI: 10.5281/zenodo.8343983
title: Development and validation of a novel plasmid chassis system for screening of metabolite-responsive transcription factors

description: This dataset contains the raw data that lie at the basis of the results discussed in <strong>Chapter 3: Development and validation of a novel plasmid chassis system for screening of metabolite-responsive transcription factors </strong>of the PhD thesis of Amber Bernauw. The README.txt file provides more information on the different data files.
DOI: 10.11583/dtu.17040767
title: The SOLETE dataset

description: Author: Daniel Vázquez Pombo, ORCID: https://orcid.org/0000-0001-5664-9421The best way to contact me is through LinkedIn: https://www.linkedin.com/in/dvp/-------------------------------------------------------------------------------This item includes the SOLETE dataset which is disclosed in [1] to increase the transparency and replicability of [2, 3, 4].SOLETE includes 15 months measurements with different resolutions (from second to hourly) from the 1st June 2018 to 1st September 2019 covering: Timestamp, air temperature, relative humidity, pressure, wind speed, wind direction, global horizontal irradiance, plane of array irradiance, and active power recorded from an 11 kW Gaia wind turbine and a 10 kW PV inverter.The origin of the data is SYSLAB, part of DTU Wind and Energy Systems. If you want to learn more about the dataset check out [1].<br>You can use the SOLETE dataset with the codes available in GitHub: https://github.com/DVPombo/SOLETE/tree/main The different scripts have various functions. One allows to import SOLETE and show some plots. Another is a platform where you can play with different Machine Learning models for time series forecasting. The application focuses on predicting PV power, but it can be easily edited by the user.<br>The publications related to this item are:<br>[1] Pombo, D. V., Gehrke, O., & Bindner, H. W. (2022). SOLETE, a 15-month long holistic dataset including: Meteorology, co-located wind and solar PV power from Denmark with various resolutions. Data in Brief, 42, 108046.[2] Pombo, D. V., Bindner, H. W., Spataru, S. V., Sørensen, P. E., & Bacher, P. (2022). Increasing the accuracy of hourly multi-output solar power forecast with physics-informed machine learning. Sensors, 22(3), 749.[3] Pombo, D. V., Bacher, P., Ziras, C., Bindner, H. W., Spataru, S. V., & Sørensen, P. E. (2022). Benchmarking physics-informed machine learning-based short term PV-power forecasting tools. Energy Reports, 8, 6512-6520.[4] Pombo, D. V., Rincón, M. J., Bacher, P., Bindner, H. W., Spataru, S. V., & Sørensen, P. E. (2022). Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting. Sustainable Energy, Grids and Networks, 32, 100943.<br>To cite this item, I would appreciate if you use [1]. Alternatively, you can also use the following (but note that I won't get credit for it):@misc{Pombo2022SOLETE, author = "Daniel Vazquez Pombo", title = "{The SOLETE dataset}", year = "2023", month = "Apr", url = "https://data.dtu.dk/articles/dataset/The_SOLETE_dataset/17040767", doi = "10.11583/DTU.17040767", note = {Retrieved from {DTU-Data}, url{https://data.dtu.dk/articles/dataset/The_SOLETE_dataset/17040767}, {DOI}: {10.11583/DTU.17040767}},}<br>
DOI: 10.5281/zenodo.8344015
title: [IO Islamic 2795] ديوان ولى

description: <strong>Dîwân-i-Walî.</strong> <strong>This manuscript is now IO Islamic 1481 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 2795 here with notations and hyperlinks].</strong> 1481 Dîwân-i-Walî (ديوان ولى). The lyrical poems of Walî, who is, according to the Makhzan-algharâ’ib (No. 2947, col. 390, last line, in the Bodleian Cat.), which quotes several of the ghazals found in this and the following copy (for instance, that on fol. 98<sup>b</sup>, l. 5 sq. ; fol. 69<sup>a</sup>, lin. penult., in the following copy), identical with Maulânâ Walî of Dasht-i-bayâḍ (in Khurâsân, or as the Safînah states, No. 356, col. 223 in the Bodleian Cat., in Kûhistân), who was contemporary with Ḥusain Thanâ’î of Mashhad (see Nos. 1449 and 1450 in this Cat.) and Mailî of Harât (who died about A.H. 1000=A.D. 1591, 1592, see Rieu ii.= p. 666 and Blochmann, Â’în-i-Akbarî, pp. 571 and 572), flourished in the reigns of Shâh Ṭahmâsp and Shâh ‘Abbâs the Great, and was killed, according to the Safînah, loc. cit., A.H. 1012 (A.D. 1603, 1604); see another copy of his dîwân in A. Sprenger, Catal., p. 589; comp. also Muntakhab-alash’âr, No. 705 (col. 254 in the Bodleian Cat.). Contents: Ḳaṣîdas and ḳiṭ’as, without any order, intermixed with a few ghazals, on fol. 1<sup>b</sup>, beginning: اى حريمت كعبۀ حاجت رواى جبرئيل نقش نعلين تو محراب دعاى جبرئيل Ghazals and rubâ’îs, in alphabetical order, on fol. 97<sup>b</sup>, beginning: شب نويد قرب در زد بندۀ درگاه را خوش اثرها بو در نی نالۀ جانگاه را A great number of lines throughout the copy are rather effaced. No date, as the colophon is torn away; but on fol. 1<sup>a</sup> there are several seals, one of which bears the date A.H. 1077 (A.D. 1666, 1667). No. 2795, ff. 151, 2 coll., each ll. 12-13; Nasta’lîḳ; many pages spoiled by water; the last leaves greatly injured; size, 7<sup>3/4</sup> in. by 4<sup>5/8</sup> in.
DOI: 10.5281/zenodo.8344014
title: [IO Islamic 2795] ديوان ولى

description: <strong>Dîwân-i-Walî.</strong> <strong>This manuscript is now IO Islamic 1481 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 2795 here with notations and hyperlinks].</strong> 1481 Dîwân-i-Walî (ديوان ولى). The lyrical poems of Walî, who is, according to the Makhzan-algharâ’ib (No. 2947, col. 390, last line, in the Bodleian Cat.), which quotes several of the ghazals found in this and the following copy (for instance, that on fol. 98<sup>b</sup>, l. 5 sq. ; fol. 69<sup>a</sup>, lin. penult., in the following copy), identical with Maulânâ Walî of Dasht-i-bayâḍ (in Khurâsân, or as the Safînah states, No. 356, col. 223 in the Bodleian Cat., in Kûhistân), who was contemporary with Ḥusain Thanâ’î of Mashhad (see Nos. 1449 and 1450 in this Cat.) and Mailî of Harât (who died about A.H. 1000=A.D. 1591, 1592, see Rieu ii.= p. 666 and Blochmann, Â’în-i-Akbarî, pp. 571 and 572), flourished in the reigns of Shâh Ṭahmâsp and Shâh ‘Abbâs the Great, and was killed, according to the Safînah, loc. cit., A.H. 1012 (A.D. 1603, 1604); see another copy of his dîwân in A. Sprenger, Catal., p. 589; comp. also Muntakhab-alash’âr, No. 705 (col. 254 in the Bodleian Cat.). Contents: Ḳaṣîdas and ḳiṭ’as, without any order, intermixed with a few ghazals, on fol. 1<sup>b</sup>, beginning: اى حريمت كعبۀ حاجت رواى جبرئيل نقش نعلين تو محراب دعاى جبرئيل Ghazals and rubâ’îs, in alphabetical order, on fol. 97<sup>b</sup>, beginning: شب نويد قرب در زد بندۀ درگاه را خوش اثرها بو در نی نالۀ جانگاه را A great number of lines throughout the copy are rather effaced. No date, as the colophon is torn away; but on fol. 1<sup>a</sup> there are several seals, one of which bears the date A.H. 1077 (A.D. 1666, 1667). No. 2795, ff. 151, 2 coll., each ll. 12-13; Nasta’lîḳ; many pages spoiled by water; the last leaves greatly injured; size, 7<sup>3/4</sup> in. by 4<sup>5/8</sup> in.
DOI: 10.5281/zenodo.8314980
title: High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 1

description: Input data (ERA5 and the seven GCMs) used to train the CNN models (BMlinear, BM1, BM10 and BMdense) used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".
DOI: 10.5281/zenodo.8314979
title: High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 1

description: Input data (ERA5 and the seven GCMs) used to train the CNN models (BMlinear, BM1, BM10 and BMdense) used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".
DOI: 10.5281/zenodo.8344035
title: [IO Islamic 2318] ديوان ولى

description: <strong>Dîwân-i-Walî.</strong> <strong>This manuscript is now IO Islamic 1482 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 2318 here with notations and hyperlinks].</strong> 1482 Another copy of the same. Contents: Ḳaṣîdas, on fol. 1<sup>a</sup>, beginning: اى دل و جان درد و غمت را وطن هر دو فداى تو چه جان و چه تن It corresponds to the second ḳaṣîdah in the preceding copy. Ghazals and rubâ’îs, in alphabetical order, on fol. 68<sup>a</sup>, beginning as in the preceding copy. Short mathnawîs, and a few additional ghazals, on fol. 101<sup>a</sup> sq.; where also the margin is filled with poetry. At the end this dîwân is wrongly ascribed to Nâṣir ‘Alî (who died A.H. 1108=A.D. 1696, 1697). On fol. 1<sup>a</sup> the poet is called several times Walî Mashrab or Mushrib (ولى مشرب). Dated the 17th of Jumâdâ-althânî, A.H. 1177 (A.D. 1763, Dec. 23), by Mullâ Sayyid Hârî at Pêshâwar. College of Fort William, 1825. No. 2318, ff. 105, 2 coll., each ll. 15; Nasta’lîḳ; size, 8 in. by 4<sup>1/8</sup> in.
DOI: 10.5281/zenodo.8344034
title: [IO Islamic 2318] ديوان ولى

description: <strong>Dîwân-i-Walî.</strong> <strong>This manuscript is now IO Islamic 1482 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 2318 here with notations and hyperlinks].</strong> 1482 Another copy of the same. Contents: Ḳaṣîdas, on fol. 1<sup>a</sup>, beginning: اى دل و جان درد و غمت را وطن هر دو فداى تو چه جان و چه تن It corresponds to the second ḳaṣîdah in the preceding copy. Ghazals and rubâ’îs, in alphabetical order, on fol. 68<sup>a</sup>, beginning as in the preceding copy. Short mathnawîs, and a few additional ghazals, on fol. 101<sup>a</sup> sq.; where also the margin is filled with poetry. At the end this dîwân is wrongly ascribed to Nâṣir ‘Alî (who died A.H. 1108=A.D. 1696, 1697). On fol. 1<sup>a</sup> the poet is called several times Walî Mashrab or Mushrib (ولى مشرب). Dated the 17th of Jumâdâ-althânî, A.H. 1177 (A.D. 1763, Dec. 23), by Mullâ Sayyid Hârî at Pêshâwar. College of Fort William, 1825. No. 2318, ff. 105, 2 coll., each ll. 15; Nasta’lîḳ; size, 8 in. by 4<sup>1/8</sup> in.
DOI: 10.5281/zenodo.8338468
title: High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 2

description: Future projections of 2-meter maximum temperature by the CNN models (BM1, BM10 and BMdense) forced by the seven GCMs used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".
DOI: 10.5281/zenodo.8338467
title: High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 2

description: Future projections of 2-meter maximum temperature by the CNN models (BM1, BM10 and BMdense) forced by the seven GCMs used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".
DOI: 10.5281/zenodo.8340234
title: High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 3

description: Future projections of 2-meter minimum temperature by the CNN models (BM1, BM10 and BMdense) forced by the seven GCMs used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".
DOI: 10.5281/zenodo.8340233
title: High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 3

description: Future projections of 2-meter minimum temperature by the CNN models (BM1, BM10 and BMdense) forced by the seven GCMs used in the GMD paper "High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia".
DOI: 10.5281/zenodo.8344011
title: Report on Transformers interpretability for Natural Language Processing: A case study on Technical Debt classification

description: Transformer models have significantly advanced the field of natural language processing (NLP), achieving exceptional results in various tasks. However, these models are often seen as "black boxes", providing limited insight into the factors influencing their predictions. It has become crucial to develop and utilise methods for interpreting and explaining these models to uncover their complex inner workings. This report discusses the latest techniques and tools that aid in a more profound understanding of transformer models within NLP. Additionally, it explores a vital industrial use case: Technical Debt (TD) classification. In this context, the report leverages transformer model interpretability tools and Retrieval Augmented Generation (RAG) to analyse and understand the characteristics of text in Github issues, distinguishing between TD and non-TD. This report thoroughly outlines an approach to improve the transparency and reproducibility of machine learning models, with a special emphasis on TD classification. It integrates the RAG approach and exploits feature attribution techniques, presenting a route to create AI systems that are not only high-performing but also demonstrably trustworthy and comprehensible. Through a detailed examination of word patterns in TD classification and the innovative use of the RAG approach, the research highlights a strong dedication to promoting transparency and responsibility in AI systems, potentially ushering in a new phase in machine learning research that focuses on clarity and dependability.
DOI: 10.5281/zenodo.8344010
title: Report on Transformers interpretability for Natural Language Processing: A case study on Technical Debt classification

description: Transformer models have significantly advanced the field of natural language processing (NLP), achieving exceptional results in various tasks. However, these models are often seen as "black boxes", providing limited insight into the factors influencing their predictions. It has become crucial to develop and utilise methods for interpreting and explaining these models to uncover their complex inner workings. This report discusses the latest techniques and tools that aid in a more profound understanding of transformer models within NLP. Additionally, it explores a vital industrial use case: Technical Debt (TD) classification. In this context, the report leverages transformer model interpretability tools and Retrieval Augmented Generation (RAG) to analyse and understand the characteristics of text in Github issues, distinguishing between TD and non-TD. This report thoroughly outlines an approach to improve the transparency and reproducibility of machine learning models, with a special emphasis on TD classification. It integrates the RAG approach and exploits feature attribution techniques, presenting a route to create AI systems that are not only high-performing but also demonstrably trustworthy and comprehensible. Through a detailed examination of word patterns in TD classification and the innovative use of the RAG approach, the research highlights a strong dedication to promoting transparency and responsibility in AI systems, potentially ushering in a new phase in machine learning research that focuses on clarity and dependability.
DOI: 10.5281/zenodo.8337745
title: Habitat point data from Søre Sunnmøre, on the West coast of Norway

description: The project had the aim to map intertidal and subtidal habitats at the Søre Sunnmøre area on the West coast of Norway. The project was funded by the Norwegian Environment Agency, the Directorate of Fisheries, Møre and Romsdal County Municipality, the County Council of Møre and Romsdal and a selection of municipalities. The project was led by Trine Bekkby (Norwegian Institute for Water Research, NIVA) and the habitats were mapped in collaboration with the Geological Survey of Norway (NGU) and the Institute for Marine Research (IMR). The dataset presented here is what was collected by NIVA. We collected data points in the intertidal and in the seaweed, kelp and red algae bed in the subtidal. The data have been used to model the distribution of different habitats. This data set shows the habitat types, but NIVA (trine.bekkby@niva.no) can be contacted for more details of the presence of individual species within the habitats (habitats are defined by the dominant species).
DOI: 10.5281/zenodo.8337744
title: Habitat point data from Søre Sunnmøre, on the West coast of Norway

description: The project had the aim to map intertidal and subtidal habitats at the Søre Sunnmøre area on the West coast of Norway. The project was funded by the Norwegian Environment Agency, the Directorate of Fisheries, Møre and Romsdal County Municipality, the County Council of Møre and Romsdal and a selection of municipalities. The project was led by Trine Bekkby (Norwegian Institute for Water Research, NIVA) and the habitats were mapped in collaboration with the Geological Survey of Norway (NGU) and the Institute for Marine Research (IMR). The dataset presented here is what was collected by NIVA. We collected data points in the intertidal and in the seaweed, kelp and red algae bed in the subtidal. The data have been used to model the distribution of different habitats. This data set shows the habitat types, but NIVA (trine.bekkby@niva.no) can be contacted for more details of the presence of individual species within the habitats (habitats are defined by the dominant species).
DOI: 10.6084/m9.figshare.24137952
title: Time evolution of the differences CR-LIN ensemble average in cummulative instabilities

description: Time evolution of the difference between the CR and LIN ensemble average in cumulative EKE, baroclinic and barotropic conversion terms averaged in regions: EKE: 0-150m, 120°W-160°WBCL or PeKe: 30-80m, 110°W-130°WBTR or KmKe: 0-50m, 115°W-140°WSLA or Z or SSH (CR and not cummulative): 120°W-160°W; 2.5°N-2.5°S during upwelling and downwelling EKWs events.sd_variables are 1 standard deviation of the ensemble difference.<br>
DOI: 10.6084/m9.figshare.24137952.v1
title: Time evolution of the differences CR-LIN ensemble average in cummulative instabilities

description: Time evolution of the difference between the CR and LIN ensemble average in cumulative EKE, baroclinic and barotropic conversion terms averaged in regions: EKE: 0-150m, 120°W-160°WBCL or PeKe: 30-80m, 110°W-130°WBTR or KmKe: 0-50m, 115°W-140°WSLA or Z or SSH (CR and not cummulative): 120°W-160°W; 2.5°N-2.5°S during upwelling and downwelling EKWs events.sd_variables are 1 standard deviation of the ensemble difference.<br>
DOI: 10.48579/pro/afxqrn/7eqkru
title: Foward mechanical stop.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/brxgop
title: Rear template.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/q66mzu
title: Cutter blade.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/vmoa16
title: Adapter shim 110 to 90- low.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/8qmsya
title: Bracket for corner and guide chain support.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/gba5ua
title: BX-AV-251 3-3.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/kwlj2x
title: BE-FX-201.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/rzi7fe
title: BX-AV-251 1-3.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/yi6ddt
title: High half tube support.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/fb04mo
title: Adapter shim 110 to 63- low.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/rbrizx
title: BE-AV-253 4-5.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/rkuqrj
title: BE-FX-201-2.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/rnqcjb
title: equerre 38x38.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/zbx95l
title: Arch support.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/au0jfm
title: MC-AC-481.stl

description: :unav
DOI: 10.48579/pro/afxqrn/drscob
title: Adapter shim 110 to 90- high.FCStd1

description: :unav
DOI: 10.48579/pro/afxqrn/evjiqp
title: MC-AC-482.stl

description: :unav
DOI: 10.48579/pro/afxqrn/f4awaq
title: BE-FX-202 3-3.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/ofq3s4
title: BE-FX-202 1-3.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/rviwew
title: Mobile units.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/0dyj8c
title: Machinin insert support-90mm.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/51ufhn
title: Adapter shim 110 to 63- low.FCStd1

description: :unav
DOI: 10.48579/pro/afxqrn/6dv41l
title: MC-SH-452.stl

description: :unav
DOI: 10.48579/pro/afxqrn/lm5p4t
title: Chain tensioner sprocket stop.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/qj1hab
title: Rear mechanical stop.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/tnvtp5
title: Chassis fixe.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/5pm2uz
title: Low half tube support.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/ftpsoe
title: Fix part.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/jcxhfv
title: MC-GA-433.stl

description: :unav
DOI: 10.48579/pro/afxqrn/of2kis
title: EN-EG-310.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/stue9h
title: Tensioner sprocket stop.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/wjdfww
title: High core support.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/0pwrsj
title: BE-FX-204 1-2.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/imfdnw
title: Cutting blade support -90mm.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/omfwtw
title: MC-BA-415.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/opngn3
title: Frame.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/t1wh8a
title: Toolholders deck support.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/uke2vc
title: BE-AV-253 5-5.pdf

description: :unav
DOI: 10.48579/pro/afxqrn/50cig7
title: Two-wheel set.FCStd

description: :unav
DOI: 10.48579/pro/afxqrn/eeepzr
title: BX-AV-252 4-4.pdf

description: :unav