cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8189228
title: Experimental data of a channel bifurcation with mobile-bed without and with vane-fields

description: Experimental data of laboratory experiments of a channel bifurcation: a main and a lateral diversion channel, both with mobile bed, rectangular cross-section, performing a 90º angle between them.<br> Experiments run until the equilibrium bed was reached. 4 experiments:<br> (i) no vanes - NV;<br> (ii) with a vane-field - VF;<br> (iii) with a second vane-field configuration with the alignment of the vanes (angle beta) = 30º - VF30;<br> (iv) with the same vane-field configuration as (iii) but with angle beta = 10º - VF10. Water depth at the downstream end of the main channel is equal to 0.10 m.<br> Width of the main channel = 0.68 m in (i)-(ii), and 0.67 in (iii)-(iv).<br> Width of the diversion channel = 0.26 m in (i)-(ii), and 0.25 in (iii)-(iv).<br> Discharge at the entrance of the main channel = 29 l/s.<br> Discharge ratio per unit width of the channels: 0.5 in (i)-(ii), and 0.2 in (iii)-(iv).<br> Height of the vanes = 0.03 m above the average bed level of the approach flow. Data measured provided for each experiment: <br> (i) profiles along direction x of the water surface levels and the bed topography;<br> (ii) average values and fluctuations of the 3 components of velocities at a dense grid of points (see figures with the plan views of the measured grid). In the vertical direction z, the points are spaced in 0.5 cm or 1 cm.<br> All the data was measured for the equilibrium bed. The velocities were measured with a side-looking Vectrino. Data was despiked (see Goring and Nikora, 2002 DOI 10.1061/(ASCE)0733-9429(2002)128:1(117) ), and points with correlation &lt; 70% or SNR &lt; 15 db were discarded. For further information see: Baltazar, J.; Alves, E.; Bombar, G.; Cardoso, A.H. Effect of a Submerged Vane-Field on the Flow Pattern of a Movable Bed Channel with a 90º Lateral Diversion. Water 2021, 13, 828. https://doi.org/10.3390/w13060828 PhD thesis "Sediment control at lateral water intakes through submerged vane-fields", by Joana Baltazar (Instituto Superior Técnico, Lisbon, Portugal)<br>
DOI: 10.26050/wdcc/ar6.c6cmfqfe
title: IPCC DDC: FIO-QLNM FIO-ESM2.0 model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.FIO-QLNM.FIO-ESM-2-0' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FIO-ESM 2.0 climate model, released in 2018, includes the following components: aerosol: Prescribed monthly fields, atmos: CAM4 (0.9x1.25 finite volume grid; 192 x 288 longitude/latitude; 26 levels; top level ~2 hPa), land: CLM4.0 (same grid at atmos), ocean: POP2-W (POP2 coupled with MASNUM surface wave model, Displaced Pole; 320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4.0 (same grid as ocean). The model was run by the FIO (First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China), QNLM (Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China) (FIO-QLNM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6cmfqfeam
title: IPCC DDC: FIO-QLNM FIO-ESM2.0 model output prepared for CMIP6 CMIP amip

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.FIO-QLNM.FIO-ESM-2-0.amip' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FIO-ESM 2.0 climate model, released in 2018, includes the following components: aerosol: Prescribed monthly fields, atmos: CAM4 (0.9x1.25 finite volume grid; 192 x 288 longitude/latitude; 26 levels; top level ~2 hPa), land: CLM4.0 (same grid at atmos), ocean: POP2-W (POP2 coupled with MASNUM surface wave model, Displaced Pole; 320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4.0 (same grid as ocean). The model was run by the FIO (First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China), QNLM (Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China) (FIO-QLNM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.34740/kaggle/dsv/6203933
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.25824/redu/zjjueb
title: IMG_20221107_112658.jpg
DOI: 10.25824/redu/yhy5h4
title: IMG_20221107_112649.jpg
DOI: 10.25824/redu/vxk4tc
title: IMG_20221107_112655.jpg
DOI: 10.25824/redu/m70697
title: IMG_20221107_112623.jpg
DOI: 10.25824/redu/j1xjjx
title: IMG_20221107_112621.jpg
DOI: 10.25824/redu/72mrgl
title: IMG_20221107_112625.jpg
DOI: 10.25824/redu/g9xjka
title: IMG_20221107_110156.jpg
DOI: 10.25824/redu/glrh2c
title: IMG_20221107_110216.jpg
DOI: 10.25824/redu/tvzopm
title: IMG_20221107_110153.jpg
DOI: 10.25824/redu/mjahhf
title: IMG_20221107_110102.jpg
DOI: 10.25824/redu/jscidp
title: IMG_20221107_110242.jpg
DOI: 10.25824/redu/mmblqb
title: IMG_20221107_110236.jpg
DOI: 10.25824/redu/77stw4
title: IMG_20221107_110224.jpg
DOI: 10.25824/redu/bodm10
title: IMG_20221107_110141.jpg
DOI: 10.25824/redu/weo5fs
title: IMG_20221107_110240.jpg
DOI: 10.25824/redu/c1agj8
title: IMG_20221107_110222.jpg
DOI: 10.25824/redu/lawzfs
title: IMG_20221107_110208.jpg
DOI: 10.25824/redu/rfsxgd
title: IMG_20221107_110228.jpg
DOI: 10.25824/redu/1xtcge
title: IMG_20221107_110105.jpg
DOI: 10.25824/redu/dyzzvl
title: IMG_20221107_110212.jpg
DOI: 10.25824/redu/xlgkg6
title: IMG_20221107_110052.jpg
DOI: 10.25824/redu/itp9to
title: IMG_20221107_110158.jpg
DOI: 10.25824/redu/5cpzum
title: IMG_20221107_110115.jpg
DOI: 10.25824/redu/pb9u35
title: IMG_20221107_110206.jpg
DOI: 10.25824/redu/2dk0mw
title: IMG_20221107_110214.jpg
DOI: 10.25824/redu/oh1aer
title: IMG_20221107_110234.jpg
DOI: 10.25824/redu/ixl843
title: IMG_20221107_110210.jpg
DOI: 10.25824/redu/go9fzm
title: IMG_20221107_110109.jpg
DOI: 10.25824/redu/mzjfxo
title: IMG_20221107_110059.jpg
DOI: 10.25824/redu/mfbt7f
title: IMG_20221107_110137.jpg
DOI: 10.25824/redu/qfnx9q
title: 2_grupo2.mp4
DOI: 10.25824/redu/epfuca
title: 2_grupo3.mp4
DOI: 10.48331/scielo.lppbyk/ebyc1t
title: ScieLo_presentación_VelezCuartas.pptx

description: :unav
DOI: 10.25824/redu/low8bu
title: 2_grupo4.mp4
DOI: 10.48331/scielo.lppbyk
title: La investigación sobre el impacto de los ODS desde la comunicación científica

description: Presentación de Gabriel Velez Cuartas en el Seminario SciELO 25 Años: La comunicación científica y los Objetivos Desarollo Sostenible. Página del evento: https://25.scielo.org/es/seminarios/cepal/
DOI: 10.25824/redu/snsmcy
title: robot_car.jpg

description: Image of the Robot Car (component of the GloveBot artifact). It responds to hand gestures transmitted through the Controller Glove. The robot has connected 2 DC motors (also called TT motors) on a transparent chassis, a motor driver module L298N, an Arduino Nano and a Wireless module NRF24L01 for communication. An I/O button is incorporated to allow the user to turn the Robot Car on or off. This robot is powered using 6 AA batteries.
DOI: 10.25824/redu/xivpas
title: controller_glove.jpg

description: Image of the Controller Glove (component of the GloveBot artifact). It has an embedded Arduino board and sensors to enable the user to control the Robot Car using hand gestures. Inside the Controller Glove there are: an Arduino Nano board; an accelerometer gyroscope sensor MPU6050; and a Wireless module NRF24L01. These components are coupled to read the analog values which are used to capture the hand pose of the user. An IO button is incorporated to allow the user to turn the Controller Glove on or off. The Controller Glove is powered using a standard 9V battery.
DOI: 10.25824/redu/mdk2ub
title: GloveBot_Storytelling_workshop_photo3.jpg

description: Anonymized photo of the "GloveBot with Storytelling Workshop".
DOI: 10.25824/redu/uxbqqq
title: GloveBot_Storytelling_workshop_photo4.jpg

description: Anonymized photo of the "GloveBot with Storytelling Workshop".
DOI: 10.25824/redu/mygrls
title: glove_wiring_diagram.png

description: Wiring diagram of the Controller Glove (component of the GloveBot artifact).
DOI: 10.25824/redu/d9o1ab
title: car_wiring_diagram.png

description: Wiring diagram of the Robot Car (component of the GloveBot artifact).
DOI: 10.25824/redu/wnfy3m
title: GloveBot_Storytelling_workshop_photo1.jpg

description: Anonymized photo of the "GloveBot with Storytelling Workshop".
DOI: 10.25824/redu/eez3gh
title: GloveBot_Storytelling_workshop_photo2.jpg

description: Anonymized photo of the "GloveBot with Storytelling Workshop".
DOI: 10.25824/redu/n8hbja
title: workshop_description.pdf

description: Description of activities carried out during the "GloveBot with Storytelling Workshop".
DOI: 10.25824/redu/b2d1zi
title: workshop_transcription_team1.pdf

description: Anonymized transcription of the dialogues and actions of the children (team 1) during the “GloveBot with storytelling workshop”.
DOI: 10.25824/redu/l4javd
title: workshop_transcription_team4.pdf

description: Anonymized transcription of the dialogues and actions of the children (team 4) during the “GloveBot with storytelling workshop”.
DOI: 10.25824/redu/u3yqmh
title: Dataset associated with the “GloveBot with storytelling workshop"

description: The "GloveBot with Storytelling Workshop" is part of the set of workshops entitled "Wearable Interfaces, Robotics and Creative Learning", which aim to investigate creative learning with preschool children through socioenactive interaction. During the "GloveBot with Storytelling Workshop", storytelling activities were carried out with the children. This workshop is part of the Socioenactive Systems FAPESP Thematic Project #2015/16528-0. The Socioenactive Systems Project is approved by the Unicamp Ethical Committee under the number CAAE 72413817.3.0000.5404. This dataset contains photos and wiring diagrams of the GloveBot artifact, description documents, anonymized transcriptions and anonymized photos of the "GloveBot with Storytelling" workshop.
DOI: 10.48331/scielo.j4zuy1/lcbjgc
title: ScieLo_Presentation_AnaPersic.pptx

description: :unav
DOI: 10.48331/scielo.j4zuy1
title: UNESCO Recommendation on Open Science : International Framework for using Open Science as Accelerator for SDGs

description: Presentation by Ana Peršić at the SciELO 25 Years Seminar: Scholarly communication and the UN Sustainable Development Goals. Event page: https://25.scielo.org/en/seminars/cepal/
DOI: 10.25405/data.ncl.23708511.v1
title: Internal Layer Continuity Index returns and englacial reflectors from Lambert Glacier, East Antarctica.

description: This directory contains the Internal Layer Continuity Index returns when averaged over 100 traces and 1000 traces across a portion of the BAS-AGAP North, Lambert Glacier, East Antarctica. The directory also contains 'Traced buckle reflectors picks from the fold feature found along the shear margin of Lambert Glacier, East Antarctica The three sets of information are provided as: &gt; ”AGAPall100.csv” &gt; ”AGAPall1000.csv” csv attributes: (1) ‘Line_name’: flight name (2) 'X’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (3) 'Y’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (4) ‘TraceNr’: Trace number for the chirp radar data (x axis) (5) ‘ILCI’: Internal Layer Continuity Index output. &gt; ” Traced_buckle_reflectors.csv” csv attributes: (1) ‘Line_name’: flight name (2) ‘Horizon_name’: Englacial reflector horizon name associated with the flight name. (3) 'X’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (4) 'Y’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (5) ‘TraceNr’: Trace number for the chirp radar data (x axis) (6) ‘Z(ms)’: Depth of the picked horizon (BAS System) (units: microseconds) (7) ‘Depth(m)’: Depth of the picked horizon (units: metres) (8) ‘IceThickness(m)’: Ice thickness (units: metres)
DOI: 10.25405/data.ncl.23708511
title: Internal Layer Continuity Index returns and englacial reflectors from Lambert Glacier, East Antarctica.

description: This directory contains the Internal Layer Continuity Index returns when averaged over 100 traces and 1000 traces across a portion of the BAS-AGAP North, Lambert Glacier, East Antarctica. The directory also contains 'Traced buckle reflectors picks from the fold feature found along the shear margin of Lambert Glacier, East Antarctica The three sets of information are provided as: &gt; ”AGAPall100.csv” &gt; ”AGAPall1000.csv” csv attributes: (1) ‘Line_name’: flight name (2) 'X’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (3) 'Y’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (4) ‘TraceNr’: Trace number for the chirp radar data (x axis) (5) ‘ILCI’: Internal Layer Continuity Index output. &gt; ” Traced_buckle_reflectors.csv” csv attributes: (1) ‘Line_name’: flight name (2) ‘Horizon_name’: Englacial reflector horizon name associated with the flight name. (3) 'X’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (4) 'Y’: projected X and Y coordinates (Polar Stereographic, EPSG: 3031) (5) ‘TraceNr’: Trace number for the chirp radar data (x axis) (6) ‘Z(ms)’: Depth of the picked horizon (BAS System) (units: microseconds) (7) ‘Depth(m)’: Depth of the picked horizon (units: metres) (8) ‘IceThickness(m)’: Ice thickness (units: metres)
DOI: 10.5281/zenodo.8189283
title: Interviews transcriptions

description: This is a full set of transcriptions of all the interviews conducted to complete a research dedicated towards evaluating emotive research content, identifying areas of interest that may have not been the core areas in some of the original research papers, and creating a digital archaeo game or the purpose of testing the extracted theory in terms of emotive triggers in nostalgic and negative emotive archaeological environments. The transcriptions have been handwritten and reviewed several times but may contain some grammatical and spelling mistakes due to some issues with unstable connections during the video and audio recording or due to the inability to understand some of the spoken languages at times. Due to the nature of the research the interviewed subjects have agreed in writing to be named and therefore it contains the real names of the people involved in the experiment. Overall this raw data set has been used to further investigate the area of emotive studies but may in the future be useful for many other applications as there were a wide variety of topics being discussed and the open-ended questions structure made this a very fruitful resource.
DOI: 10.5281/zenodo.8189282
title: Interviews transcriptions

description: This is a full set of transcriptions of all the interviews conducted to complete a research dedicated towards evaluating emotive research content, identifying areas of interest that may have not been the core areas in some of the original research papers, and creating a digital archaeo game or the purpose of testing the extracted theory in terms of emotive triggers in nostalgic and negative emotive archaeological environments. The transcriptions have been handwritten and reviewed several times but may contain some grammatical and spelling mistakes due to some issues with unstable connections during the video and audio recording or due to the inability to understand some of the spoken languages at times. Due to the nature of the research the interviewed subjects have agreed in writing to be named and therefore it contains the real names of the people involved in the experiment. Overall this raw data set has been used to further investigate the area of emotive studies but may in the future be useful for many other applications as there were a wide variety of topics being discussed and the open-ended questions structure made this a very fruitful resource.
DOI: 10.26050/wdcc/ar6.c6cmhcme1
title: IPCC DDC: HAMMOZ-Consortium MPI-ESM1.2-HAM model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.HAMMOZ-Consortium.MPI-ESM-1-2-HAM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The MPI-ESM1.2-HAM climate model, released in 2017, includes the following components: aerosol: HAM2.3, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), atmosChem: sulfur chemistry (unnamed), land: JSBACH 3.20, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the ETH Zurich, Switzerland; Max Planck Institut fur Meteorologie, Germany; Forschungszentrum Julich, Germany; University of Oxford, UK; Finnish Meteorological Institute, Finland; Leibniz Institute for Tropospheric Research, Germany; Center for Climate Systems Modeling (C2SM) at ETH Zurich, Switzerland (HAMMOZ-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.
DOI: 10.5517/ccdc.csd.cc2fmyz0
title: CCDC 2253513: Experimental Crystal Structure Determination

description: Related Article: Lishou Yang, Huadan Liu, Enhua Wang, Huanhuan Liu, Hongshi Liu, Lang Zhou, Tingfei Deng, Xiong Pan, Zhanxing Hu, Xiaosheng Yang|2023|Eur.J.Med.Chem.|258|115624|doi:10.1016/j.ejmech.2023.115624
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g4f57
title: CCDC 2268368: Experimental Crystal Structure Determination

description: Related Article: Minglin Shi, Xiaoyong Chang, Wei Lu|2023|Dyes Pigm.|218|111513|doi:10.1016/j.dyepig.2023.111513
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5tx35h3n
title: MassIVE MSV000092533 - CSHL_EIF4A2_BioID_2022_Lumos_P36_V34
title: Test set for CSHL Proteomics Course Contains set of 8 samples acquired on an Orbitrap Fusion Lumos Tribrid. Searched with Fragpipe v19.1.
DOI: 10.5281/zenodo.8189293
title: [IO Islamic 1412] نفحات الأنس

description: <strong>Jâmî's-Mathnawîs.</strong> <strong>This manuscript is now IO Islamic 1361 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 1412 here with notations and hyperlinks].</strong> 1361 The same. A fourth excellent copy, containing 611 biographies, according to the detailed index on ff. 1<sup>b</sup>-9<sup>b</sup>, with very large addition and highly useful notes and explanations on the margin. Beginning of the text on fol. 10<sup>b</sup>. Dated in Jumâdâ-althânî, A.H. 1023 (A.D. 1614, July-August), by Khwâjah Ṭâhir bin Khwâjah Darwish alḥiṣârî. No. 1412, ff. 298, ll. 21; clear and distinct Nasta’lîḳ; the last pages a little damaged by worms; illuminated frontispiece; size, 10<sup>7/8</sup> in. by 7 in.