cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7522311
title: [IO Islamic 2031] ديوان ظهير فاريابى

description: <strong>Dîwân-i-Żahîr Fâryâbî.</strong> <strong>This manuscript is now IO Islamic 971 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 2031 here with notations and hyperlinks].</strong> 971 Dîwân-i-Żahîr Fâryâbî (ديوان ظهير فاريابى). Lyrical poems, by Żahîr-aldîn Abû-alfaḍl Ṭâhir bin Muḥammad of Fâryâb, in the province of Balkh, who died A.H. 598 (A.D. 1201, 1202), see Haft Iḳlîm, No. 566 (col. 419 in this Cat.), and comp. on his life and poems, Rieu ii. p. 563; Bodleian Cat., Nos. 582-584; W. Pertsch, Berlin Cat., pp. 720 and 773 sq.; A. Sprenger, Catal., p.579; Ouseley, Biograph. Notices, p. 154 etc.; Krafft, p. 62; C. J. Tornberg, p. 102; Rosen, Persian MSS., p. 205. Contents: Ḳaṣîdas and tarkîbbands, on fol. 1<sup>b</sup>, beginning: سپيده دم كه شدم محرم سراى سرور شنيدم آيت تُوبُوا الى الله از لب حور corresponding to the initial ḳaṣîdah in the first Berlin and the third Bodleian copy. At the end some ḳiṭ’as and rubâ’îs, the latter incomplete, breaking off, on fol. 110<sup>b</sup>, in the middle of a quatrain. Printed at Calcutta, A.H. 1245. No. 2031, ff. 110, 2 coll., each ll. 15; Nasta’lîḳ; size, 8½ in. by 4¾ in.
DOI: 10.18120/nheq-5c21
title: Motor Recovery through Plasticity-Inducing Cortical Stimulation
DOI: 10.18120/0ydy-jw87
title: Motor Recovery through Plasticity-Inducing Cortical Stimulation
DOI: 10.6073/pasta/36dee1fe1e5f521e49d4944bc4fcc31f
title: Macroscale Variation in Red Maple (Acer rubrum) Foliar Carbon, Nitrogen, and Nitrogen Resorption

description: Project Description The primary goal of this project was to investigate intraspecific variation of foliar nitrogen resorption for Acer rubrum (red maple). In particular, we are interested in examining whether foliar nutrient resorption is related to climatic factors such as mean annual temperature and/or precipitation. The approach used to collect green and fallen leaf samples was through a community science project where participants sent leaves to our lab at Boston University for analysis. In the spring/summer of 2019 plant and naturalist organizations throughout the range of red maple in the United States were contacted to request information about this project be sent to their members regarding the collection of red maple leaves for the study. Interested parties were prompted to complete a google form that included basic contact information. Each participant was then sent a sampling kit which included gloves, sampling protocols, and data sheets. For each set of leaves collected from a single tree they were assigned the following identification “tasper-###” where the numbers were uniquely assigned. Green and fallen leaves were assigned different “tasper-###” numbers. Within a single identification (e.g., tasper-120) each leaf was individually assigned a letter a-n, where n corresponds to the letter of how many leaves were sent from that tree. For most samples a-j was obtained because we asked participants to collect 10 leaves. Individual leaves were scanned for area analysis using a flatbed scanner at 300 dpi and weighed. For C&N analysis each leaf blade from a set of green or fallen leaves from a single tree was hole-punched and the samples were combined yielding one C and N concentration per tree for both each green and fallen leaves. Punches were ground and homogenized to a powder using a mortar and pestle. Approximately 3 mg of dried sample was analyzed for C and N concentration using a NC2500 elemental analyzer (CE Elantech, Lakewood, NJ, USA). NIST Apple Leaves were used as standard reference material.
DOI: 10.6084/m9.figshare.21861522
title: Kcnq2 data tables

description: Data used for Aiba and Noebels 2021. <br>
DOI: 10.6084/m9.figshare.21861522.v1
title: Kcnq2 data tables

description: Data used for Aiba and Noebels 2021. <br>
DOI: 10.6073/pasta/4a30df8b82a44fdc8e73e6a8d0d2ada6
title: Fish Facilities Salvage Data from 1993-2021

description: The Bureau of Reclamation’s (Reclamation) Central Valley Project (CVP) delivers up to over three million acre-feet of water annually for agricultural, municipal, industrial, and environmental needs in California from the Sacramento-San Joaquin River Delta (Delta) through the C.W. “Bill” Jones Pumping Plant (JPP). A Reclamation operated fish salvage facility, the Tracy Fish Collection Facility (TFCF), is located upstream of the JPP and functions to salvage fish entrained in exported water (Bates and Vinsonhaler 1957). Additionally, the John E. Skinner Delta Fish Protective Facility (SDFPF) added by the department of water resources in 1968 to salvage fishes diverted by the State water Project (SWP). Salvage process involves fish collection, counting, handling and transportation back to Delta. To prevent fish loss, a fish facility was constructed at Old river, where fish were diverted to the fish facility for counting and reporting. Currently, after counting, the fish are collected in storage tanks and taken to several release locations in the Delta via fish-haul tank trucks. Around 19,024,323 fishes from 31 species were salvaged through this process from 1993-2021 by the two fish facilities. The top five species salvaged by both the facilities in 2021 were Threadfin Shad (31%), Bluegill (25%), Largemouth Bass (6%), Inland Silverside (6%), and Striped Bass (5%). Fishes listed (ESA or CESA) or fish species salvaged under special study salvaged from 1993-2021 were Chinook Salmon [1,122,436 (76%)], Delta Smelt [201,408 (14%)], steelhead trout [110,720 (7%)], Longfin Smelt [41,173 (3%)], and Green Sturgeon [654 (0.04%)] respectively. More data visualization can be found here (https://tinyurlfordatavisualisation.shinyapps.io/Salvage/). There are 5 comma-separated values (csv) files with all variables required for salvage calculations and each individual file for total salvage by month, year, and species from 1993-2021.
DOI: 10.21223/7z88n1/4qzqxu
title: 03_Data_visita3_T3_Healthy_Control.tab

description: :unav
DOI: 10.21223/7z88n1/rjbm5k
title: 04_Data_visita4_T2_Natural_Infected.tab

description: :unav
DOI: 10.21223/7z88n1/pvp5g8
title: 04_Data_visita4_T3_Healthy_Control.tab

description: :unav
DOI: 10.21223/7z88n1/p9mlhm
title: 05_Data_visita5_T2_Natural_Infected.tab

description: :unav
DOI: 10.21223/7z88n1/pioclv
title: 02_Data_visita2_T3_Healthy_Control.tab

description: :unav
DOI: 10.21223/7z88n1/ah2x35
title: 02_Data_visita2_T1_Infected_by_graft.tab

description: :unav
DOI: 10.21223/7z88n1/tgmbcr
title: 03_Data_visita3_T1_Infected_by_graft.tab

description: :unav
DOI: 10.21223/7z88n1/n1boze
title: 01_Data_visita1_T2_Natural_Infected.tab

description: :unav
DOI: 10.21223/7z88n1/y7xc6a
title: 05_Data_visita5_T3_Healthy_Control.tab

description: :unav
DOI: 10.21223/7z88n1/m3hxat
title: 03_Data_visita3_T2_Natural_Infected.tab

description: :unav
DOI: 10.21223/7z88n1/pouskr
title: 06_Data_dictionary.tab

description: :unav
DOI: 10.21223/7z88n1/8rt76n
title: ID_T1&T2(Virus).bmp

description: :unav
DOI: 10.21223/7z88n1/cmy7fu
title: 04_Data_visita4_T1_Infected_by_graft.tab

description: :unav
DOI: 10.21223/7z88n1/d7g5ia
title: 05_Data_visita5_T1_Infected_by_graft.tab

description: :unav
DOI: 10.21223/7z88n1/2g2251
title: 02_Data_visita2_T2_Natural_Infected.tab

description: :unav
DOI: 10.21223/7z88n1/29xxjy
title: ID_T3(Control).bmp

description: :unav
DOI: 10.21223/7z88n1/d95zxa
title: 07_Image_description.tab

description: :unav
DOI: 10.21223/7z88n1/rseeqp
title: 01_Data_visita1_T1_Infected_by_graft.tab

description: :unav
DOI: 10.21223/7z88n1/mdbpgd
title: 01_Data_visita1_T3_Healthy_Control.tab

description: :unav
DOI: 10.5281/zenodo.7522414
title: Environmental data and fractional abundance of iso and branched GDGT data used to train the BIGMaC algorithm

description: Location, environmental data -depth (m), elevation, distance to land (km), Mean Annual Air Temperature (C), and pH-, as well as fractional abundance of isoprenoid and branched GDGTs for unpublished samples used for the training of the Branched and Isoprenoid GDGT Machine learning Classification (BIGMaC) algorithm (Martínes-Sosa, et al., in prep).
DOI: 10.15784/601640
title: VIIRS KD(490) diffuse attenuation coefficients for study sites

description: This csv dataset contains diffuse attenuation coefficients (units: m-1) from the Visible Infrared Imaging Radiometer Suite (VIIRS) Kd(490) product. The values are from the nearest corresponding pixels from the fifteen study sites associated with visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019. These attenuation coefficients were generated by the NOAA CoastWatch/OceanWatch program. They are remote sensing estimates of diffuse attenuation coefficients at a 490 nm wavelength in for approximately 4x4 km cells using the algorithm described in (Wang et al., 2017). The dataset includes January-February-March (JFM), October-November-December (OND) as well as October to March averages for each site. OND averages are not available for all sites and therefore are not included in the October-March averages. An indication of the distance from the site to the nearest pixel with a Kd(490) observation is noted. Wang, M., X. Liu, L. Jiang, and S. Son. 2017. Algorithm Theoretical Basis Document (ATBD), The VIIRS Ocean Color Products, Algorithm Theoretical Basis Document Version 1.0.
DOI: 10.5067/ckmbk1a61p7d
title: TROPICS01??Pathfinder??L1B Orbital Geolocated Native-Resolution Brightness Temperatures
DOI: 10.5067/pxqc7sow8v99
title: TROPICS01??Pathfinder??L2A Unified Resolution Brightness Temperatures
DOI: 10.5067/h1u7bnbju6uc
title: TROPICS01??Pathfinder??L2B Instantaneous Surface Rain Rate (ISRR)
DOI: 10.15784/601641
title: Average global horizontal solar irradiance at study sites

description: This csv dataset contains modelled average global horizontal solar irradiance (KWh m-2 day-1) for the fifteen study sites associated with visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019.
DOI: 10.15784/601642
title: Sea Ice Concentration Timeseries for study sites

description: This cvs dataset contains time series of sea ice concentrations from four remote sensing derived products – the Sea Ice Index (Sea Ice Index), AMSR2 and AMSR-E, and National Ice Center NIC Charts. The dataset consists of the daily (or weekly in the case of NIC) timeseries for the available period of record beginning in 1979 for the Sea Ice Index and extending until April 1, 2019. The sea ice concentrations were extracted from the nearest corresponding pixels from the fifteen study sites associated with visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019. In addition to the original time series, five-year annual means starting on April 1st are computed for the Sea Ice Index, AMSR2 and NIC datasets all of which covered the 2014-2019 period. These five-year means include both annual and summer (October-February).
DOI: 10.6084/m9.figshare.17099618
title: Extended Data Fig. 3: Detection of cell doublets using RT-FDC.

description: This dataset contains measurements of the physical phenotype of mouse cells mechanically dissociated from the spleen, thymus, and kidney using a tissue grinder device.<br> <br> Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC. <br> TG.zip-contains data acquired during the measurements in '.rtdc' format of spleen or thymus cells dissociated using a tissue grinder (TG) device).<br> <br> <br>
DOI: 10.6084/m9.figshare.17099618.v2
title: Extended Data Fig. 3: Detection of cell doublets using RT-FDC.

description: This dataset contains measurements of the physical phenotype of mouse cells mechanically dissociated from the spleen, thymus, and kidney using a tissue grinder device.<br> <br> Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC. <br> TG.zip-contains data acquired during the measurements in '.rtdc' format of spleen or thymus cells dissociated using a tissue grinder (TG) device).<br> <br> <br>
DOI: 10.6084/m9.figshare.17099618.v1
title: Supp Fig 3: Detection of cell doublets using RT-FDC.

description: This dataset contains measurements of the physical phenotype of mouse cells mechanically dissociated from spleen and thymus, using a tissue grinder device.<br><br>Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC.<br>TG.zip-contains data acquired during the measurements in '.rtdc' format of spleen or thymus cells dissociated using a tissue grinder (TG) device).<br><br><br>
DOI: 10.5281/zenodo.7441352
title: DGFI-TUM DSO1 orbits of altimetry satellites TOPEX/Poseidon, Jason-1, Jason-2 and Jason-3 derived from SLR data in the SLRF2014 reference frame

description: The data set provides DSO1 orbits of altimetry satellites TOPEX/Poseidon (27 September 1992 to 9 October 2005), Jason-1 (13 January 2002 to 30 June 2013), Jason-2 (20 July 2008 to 2 October 2019) and Jason-3 (17 February 2016 to 24 October 2021) computed at the Deutsches Geodätisches Forschungsinstitut of the Technical University of Munich (DGFI-TUM). The orbits are derived using the DGFI-TUM Orbit and Geodetic parameter estimation Software (DOGS). The orbits were computed from SLR data in the SLRF2014 (an extended version of ITRF2014) reference frame using common for all satellites, most precise models and standards available and described in the following paper that serves as a citation of these orbits: Sergei Rudenko, Denise Dettmering, Julian Zeitlhöfler, Riva Alkahal, Dhruv Upadhyay and Mathis Bloßfeld (2023) Radial orbit errors of contemporary altimetry satellite orbits. Surveys in Geophysics, https://doi.org/10.1007/s10712-022-09758-5. For each satellite, a tar file is given comprising compressed files. File names are given as satgpswd.sp3.gz, where “sat” is the abbreviation of the satellite name (JA1, JA2, JA3, TPX), “gpsw” is the 4-digit GPS week, and “d” indicates the day of the GPS week containing the first time instant of the file (0 = Sunday, 6 = Saturday). The orbit files are available in the Extended Standard Product 3 Orbit Format, Version c (SP3-c). The orbits were derived within the project “Mitigation of the current errors in precise orbit determination of altimetry satellites (MEPODAS)” funded by Deutsche Forschungsgemeinschaft (DFG).
DOI: 10.5281/zenodo.7441351
title: DGFI-TUM DSO1 orbits of altimetry satellites TOPEX/Poseidon, Jason-1, Jason-2 and Jason-3 derived from SLR data in the SLRF2014 reference frame

description: The data set provides DSO1 orbits of altimetry satellites TOPEX/Poseidon (27 September 1992 to 9 October 2005), Jason-1 (13 January 2002 to 30 June 2013), Jason-2 (20 July 2008 to 2 October 2019) and Jason-3 (17 February 2016 to 24 October 2021) computed at the Deutsches Geodätisches Forschungsinstitut of the Technical University of Munich (DGFI-TUM). The orbits are derived using the DGFI-TUM Orbit and Geodetic parameter estimation Software (DOGS). The orbits were computed from SLR data in the SLRF2014 (an extended version of ITRF2014) reference frame using common for all satellites, most precise models and standards available and described in the following paper that serves as a citation of these orbits: Sergei Rudenko, Denise Dettmering, Julian Zeitlhöfler, Riva Alkahal, Dhruv Upadhyay and Mathis Bloßfeld (2023) Radial orbit errors of contemporary altimetry satellite orbits. Surveys in Geophysics, https://doi.org/10.1007/s10712-022-09758-5. For each satellite, a tar file is given comprising compressed files. File names are given as satgpswd.sp3.gz, where “sat” is the abbreviation of the satellite name (JA1, JA2, JA3, TPX), “gpsw” is the 4-digit GPS week, and “d” indicates the day of the GPS week containing the first time instant of the file (0 = Sunday, 6 = Saturday). The orbit files are available in the Extended Standard Product 3 Orbit Format, Version c (SP3-c). The orbits were derived within the project “Mitigation of the current errors in precise orbit determination of altimetry satellites (MEPODAS)” funded by Deutsche Forschungsgemeinschaft (DFG).
DOI: 10.21223/zciwul/bs8ndq
title: VirusCharacterizationWithTemporalRemoteSensingData.rar

description: :unav
DOI: 10.21223/zciwul
title: Characterization of resistance and tolerance to virus infection in sweet potato using Machine Learning and temporal remote sensing data

description: Temporal assessments of reflectivity (red, blue, green, and red-edge length waves) and sweet potato canopy thermal emissions were done using a multi-spectral and thermal camera attached to an unmanned aerial vehicle. This is an open source algorithm to associate temporal indexes based on measured traits (remote sensing) to susceptible, tolerant, and resistant genotypes of sweet potato virus.
DOI: 10.6084/m9.figshare.21861588
title: PCR_results

description: PCR DATASET
DOI: 10.6084/m9.figshare.21861588.v1
title: PCR_results

description: PCR DATASET
DOI: 10.7303/syn32529019
title: Spatial intra-tumor heterogeneity is associated with survival of lung adenocarcinoma patients
DOI: 10.6084/m9.figshare.17099735
title: Extended Data Fig 4: Physical phenotype characterisation of cells isolated mechanically and enzymatically from murine liver.

description: This dataset contains measurements of the physical phenotype of single cells dissociated from mouse liver using a tissue grinder device or by enzymatic dissociation. The datasets include two runs from each experiment.<br> <br> Measurements were performed using real-time fluorescent deformability cytometry. <br> TG.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using a tissue grinder. <br> Enzymatic.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using an enzymatic protocol.
DOI: 10.6084/m9.figshare.17099735.v2
title: Extended Data Fig 4: Physical phenotype characterisation of cells isolated mechanically and enzymatically from murine liver.

description: This dataset contains measurements of the physical phenotype of single cells dissociated from mouse liver using a tissue grinder device or by enzymatic dissociation. The datasets include two runs from each experiment.<br> <br> Measurements were performed using real-time fluorescent deformability cytometry. <br> TG.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using a tissue grinder. <br> Enzymatic.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using an enzymatic protocol.
DOI: 10.6084/m9.figshare.17099735.v1
title: Sup Fig 4:Physical phenotyping of cells isolated mechanically and enzymatically from mouse liver and lung

description: This dataset contains measurements of the physical phenotype of single cells dissociated from mouse liver or lung using a tissue grinder device or by enzymatic dissociation. The datasets include two runs from each experiment. <br><br>Measurements were performed using real-time fluorescent deformability cytometry.<br>TG.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using a tissue grinder.<br>Enzymatic.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using an enzymatic protocol.
DOI: 10.20375/0000-000f-7b1a-b
title: data documentation.pdf
DOI: 10.20375/0000-000f-7b1b-a
title: data.docx
DOI: 10.20375/0000-000f-7b1c-9
title: Interview Guide + consent form.pdf
DOI: 10.48320/21f47117-916f-4d58-83f6-92ca66396ece
title: Perceptions and political decision-making strategies of Ukrainians who watched "Servant of the People" and voted for Volodymyr Zelensky in 2019
DOI: 10.5281/zenodo.6965886
title: Supplementary Material for Evaluating ScreenTracer among Testers

description: This dataset supplements the paper "Video as a By-Product of GUI Testing". This dataset consists of Coding results Interview Transcript-Three-Topics-v16.pdf -&gt; Original transcript (in German) with descriptive coding Pattern Coding-Three-Topics-v08.xlsx -&gt; Pattern coding for marked transcripts Videos Demostration Video.mp4 -&gt; Shows how to use ScreenTracer and ScreenTracer Viewer Test Suite *.mp4 (3 Videos) -&gt; Shows the videos that participants have viewed in the experiment <br>
description: This work is funded by Deutsche Forschungsgemeinschaft (DFG) - Project number 289386339 (ViViUse).
DOI: 10.5281/zenodo.7520257
title: Supplementary Material for Evaluating ScreenTracer among Testers

description: This dataset is a follow-up investigation of study conducted by Tandun in his Bachelor thesis "Report-Video Production for Quick Bug-finding in the Web Applications". This dataset consists of Coding results Interview Transcript-Three-Topics-v17.pdf -&gt; Original transcript (in German) with descriptive coding Pattern Coding-Three-Topics-With-Demography-v10.xlsx -&gt; Pattern coding for marked transcripts with demographical information of participants Videos Demostration Video.mp4 -&gt; Shows how to use ScreenTracer and ScreenTracer Viewer Test Suite *.mp4 (3 Videos) -&gt; Shows the videos that participants have viewed in the experiment <br>
description: This work is funded by Deutsche Forschungsgemeinschaft (DFG) - Project number 289386339 (ViViUse).
DOI: 10.5281/zenodo.6965885
title: Supplementary Material for Evaluating ScreenTracer among Testers

description: This dataset is a follow-up investigation of study conducted by Tandun in his Bachelor thesis "Report-Video Production for Quick Bug-finding in the Web Applications". This dataset consists of Coding results Interview Transcript-Three-Topics-v17.pdf -&gt; Original transcript (in German) with descriptive coding Pattern Coding-Three-Topics-With-Demography-v10.xlsx -&gt; Pattern coding for marked transcripts with demographical information of participants Videos Demostration Video.mp4 -&gt; Shows how to use ScreenTracer and ScreenTracer Viewer Test Suite *.mp4 (3 Videos) -&gt; Shows the videos that participants have viewed in the experiment <br>
description: This work is funded by Deutsche Forschungsgemeinschaft (DFG) - Project number 289386339 (ViViUse).
DOI: 10.5281/zenodo.7522978
title: Supplementary Material for Evaluating ScreenTracer among Testers

description: This dataset is a follow-up investigation of study conducted by Tandun in his Bachelor thesis "Report-Video Production for Quick Bug-finding in the Web Applications". This dataset consists of Coding results Interview Transcript-Three-Topics-v17.pdf -&gt; Original transcript (in German) with descriptive coding Pattern Coding-Three-Topics-With-Demography-v10.xlsx -&gt; Pattern coding for marked transcripts with demographical information of participants Videos Demostration Video.mp4 -&gt; Shows how to use ScreenTracer and ScreenTracer Viewer Test Suite *.mp4 (3 Videos) -&gt; Shows the videos that participants have viewed in the experiment <br>
description: This work is funded by Deutsche Forschungsgemeinschaft (DFG) - Project number 289386339 (ViViUse).