cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5pm32
title: MassIVE MSV000084419 - Mudit analyses of the proteins substrates candidate of NRBP1 using TR-TUBE system
title: 293 stable cell line expressing NRBP1 or NRBP1 mutant were transfected with HA-TR-TUBE using TR-TUBE system to protect the degradation of the ubiquitin chains of the potential ligase substrate. The complexes were pulled down using anti-HA antibody and subsequently digested with modified Trypsin. Anti-diGly Antibody was used for isolation of ubiquitinated peptides which recognizes the Gly-Gly dipeptide bond attached to lysine. Enriched peptide pellets were dissolved in 100 micro liter of buffer A, 5 percent acetonitrile, 0.1 percent formic acid. Samples were pressure loaded on split-triple-phase fused-silica micro-capillary columns and analyzed by nanoflow liquid chromatography using an ultimate 3000 RSLC nano system coupled to a Q Exactive plus mass spectrometer equipped with a nanospray Flex Ion source, Thermo Fisher Scientific and analyzed using a 10-step MudPIT analysis. The MS-MS datasets were searched using ProLuCID. The samples were searched against a database of 146186 sequences, consisting of 72956 H. sapiens non-redundant proteins NCBI, 2015-03-25, 193 usual contaminants -such as human keratins, IgGs, and proteolytic enzymes, and the NRBP1-muant protein sequences. To estimate false discovery rates, each protein sequence was randomized leading to a total search space of 73091 sequences. The precursor and fragment mass tolerances were set to 10 ppm and 100 ppm, respectively. Diglycine modification of Lys side chains, Ser-Thr-Tyr phosphorylation, pyroglutamate formation, acetylation, methionine oxidation and cysteine methylthio were set as variable modifications. Peptide-spectrum matches were sorted, selected and compared using DTASelect together with in-house software swallow and sandmartin. Proteins had to be detected by at least 2 spectra and average FDRs at the protein and spectral levels were set to less than 4 percent. To estimate relative protein levels, Normalized Spectral Abundance Factors,dNSAFs, were calculated for each detected protein. NSAF7 was used to extract total and modified label-free features for each amino acid within and calculate modification levels based on local spectral counts and generate the modification results.
DOI: 10.17183/leves_mayotte_bbp_juillet_2019
title: Bathymétrie Sondeur Multifaisceaux (SMF) et données géophysiques du Shom acquises par le Bâtiment Hydrographique et Océanographique Beautemps-Beaupré dans le cadre du suivi du volcan au large de Mayotte le 01/07/2019

description: Données acquises par le Shom lors d'un passage par le BHO Beautemps-Beaupré le 01 juillet 2019 sur le nouveau volcan situé 50km à l'Est de Mayotte. Incluant BATHYMETRIE (format .xyz, Système géodésique : WGS 84,Projection : UTM38S, Niveau de référence verticale : Sondes non réduites de la marée et référencées approximativement au niveau des plus basses mers astronomiques, Modèle numérique de terrain à une résolution de 10m, Capteur : sondeur multifaisceau Kongsberg EM122 12kHz, incertitude horizontale estimée à 95% : 50m, Incertitude verticale estimée à 95% : 25m); IMAGERIE_SMF (format xyI, Système géodésique : WGS 84, Projection : UTM38S, réalisée avec une résolution de 5m à l'aide du logiciel CARIS HIPS V9.1 (Geocoder)); DONNEES_BRUTES_SONDEURS (données au format binaire sondeur EM122 ( .all et .wcd)); GRAVIMETRIE (Système géodésique : WGS 84, Système gravimétrique : IGSN71, Niveau de référence des pesanteurs : niveau moyen des mers, Capteur : Bodensee KSS32M SN56 sur plateforme SN56, Incertitude horizontale à 95% : 1m (Positionnement par GPS augmenté RTG Marinestar), Incertitude à 95% de l'anomalie à l'air libre filtrée : Ecart sur point de croisement = 0.6 mGal, Corrections : Corr. à l'air libre, Corr. Eötvös, Corr. accélérations verticales, Rattachement au système gravimétrique, Géoréférencement, Dérive instrumentale non prise en compte, Format 3C: [ Date Heure Lon Lat GVbrut Acx Acy RteFond RteFondfiltrée Vit_fond Vit_fondFiltrée CorrEotvos GV_corrigé_Eotvos Pesant_absolue Anomalie AnomalieFiltrée Nom_Profil]). Extrait des données du levé référencé suivant le numéro de levé Shom S201904100. Le DOI couvre les fichiers suivants : Volcan_Mayotte_10m_WGS84UTM38S_20190701.xyz, 0091_20190701_172525_BBP.all, 0091_20190701_172525_BBP.wcd, 0094_20190701_182803_BBP.all, 0094_20190701_182803_BBP.wcd, profil_1_SN056_volcan_sm_mayotte.3c, profil_2_SN056_volcan_sm_mayotte.3c, IMA_SMF_Volcan_Mayotte_5m_WGS84UTM38S_20190701.xyI. A ne pas utiliser pour la navigation. Modification interdite de la donnée sans l'accord du distributeur. Utilisation libre sous réserve de citer les sources.
DOI: 10.21223/wbc9wc
title: Dataset for: Continuous Storage Root Formation and Bulking in Sweetpotato

description: The data set for the “Continuous Storage Root Formation and Bulking in sweetpotato ” Gates Open Research paper has on-station plant breeding trials conducted at Namulonge and Serere in Wakiso and Serere districts respectively between 2016 and 2017 leading to an original research article. The on-station data are in Excel format for Sweetpotato Breeding Protocol (manual) http://www.sweetpotatoknowledge.org/). The on-station data on Continuous storage root formation and bulking scores, root numbers, vegetative growth data, and root weight from plots over 4 harvesting times used to estimate growth overtime and compute root yield, and biomass yield was the basis for the article. The pdf file has details on background information, site description, materials and methods, analysis, results and discussion, and relevant tables and illustrations. Supporting raw data and analysis tables include spreadsheets for singles harvests (at 90, 120, 150 and 180 Days after planting), the combined data sheet for all seasons and locations, and its respective analysis tables, summary means and breeding value estimations.
DOI: 10.21223/wbc9wc/7lr74h
title: Continuous_Storage_Root_Bulking_Material_list.tab

description: :unav
DOI: 10.21223/wbc9wc/hwhjwj
title: Continuous_Storage_Root_Bulking_Data_Dictionary.xls

description: :unav
DOI: 10.21227/m269-yp79
title: Offline Handwritten Telugu Characters

description: This dataset contains sheets of handwritten Telugu characters separated in boxes. It contains vowel, consonant, vowel-consonant and consonant-consonant pairs of Telugu characters. The purpose of this dataset is to act as a benchmark for Telugu handwritting related tasks like character recognition. There are 11 sheet layouts that produce 937 unique Telugu characters. Eighty three writers participated in generating the dataset and contributed 913 sheets in all. Each sheet layout contains 90 characters except the last which contains 83 characters where the last 10 are english numerals 0-9.
DOI: 10.25919/5d977a112fa02
title: Parkes observations for project P892 semester 2019APRS_08

description: SUPERBx looks at the highest Galactic latitudes in a search for pulsars and fast radio bursts (FRBs). We use optimised GPU codes and supercomputing to search for these, making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. Our pulsar discoveries are typically nearby scintillating sources, intermittent sources and those in interesting binary systems. Our FRB discoveries have discovery lags of ~1 second, rather than months/years and these feed rapid alerts to the world-wide follow-up community via a dedicated VOEvent format an Astronomer's Telegrams. The goal of this is to allow localisation of the discovered FRBs. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.
DOI: 10.25345/c52t0d
title: MassIVE MSV000084415 - Shotgun proteomic analysis of pancreatic cancer cell lines vs. normal epithelial ductal pancreatic cells
title: We have run a shotgun proteomic analysis of cell lysates from pancreatic cancer cell lines (PANC-1, PaCa-44, MIA PaCa-2 and BxPC-3) vs. normal epithelial ductal pancreatic cells (HPDE) in LC-MS/MS. No labelling was performed and digestion was done with Trypsin/Lys-C mix endoproteinase.
DOI: 10.25345/c5z388
title: MassIVE MSV000084416 - Longitudinal Serum Proteomics In a Mouse Model of Lethal Endotoxemia
title: A total of thirty-two samples mouse serum samples were analyzed in duplicate (64 total injections) using an LC-MS system comprised of a nanoAcquity LC instrument (Waters nanoAcquity UPLC system, Milford, MA) connected to an Orbitrap Fusion Lumos tribrid mass spectrometer (Thermo Fisher Scientific, San Jose, CA). Peptides were trapped on a nanoAcquity trap column (180 um x 20 mm), washed with 99.5% mobile phase A (0.1% formic acid in water) and separated on a nanoAcquity C18 column (1.7 um BEH130Angstrom, 100 um x 100 mm) at 40 C. Peptides were eluted with a linear gradient of 3% to 40% mobile phase B (0.1 % FA in acetonitrile) over 90 min. Gradient changes were followed at 91min to 85% B and then increased to 95% B at 95 min. The gradient was changed back to 3% of B to equilibrate for 20 minutes prior to the next injection. Each injection consisted of 1.5 ug of purified peptides and injection order was randomized to minimize bias. Eluted peptides were ionized in positive ion polarity at a 2.1 kV of spraying voltage. MS1 full scans were recorded in the range of m/z 380 to 1580 with a resolution of 120,000 at 200 m/z using the Orbitrap mass analyzer. Automatic gain control was set at 8 x 105 with 50 ms of maximum injection time. Top speed (3sec) data dependent acquisition mode was used to maximize the number of MS2 spectra from each cycle. Higher-energy C-trap dissociation (HCD) was used to fragment selected precursor ions with a normalized collision energy of 30%. Tandem MS scans were performed in the ion trap mass analyzer with 35 ms maximum injection time, an ion target value set at 5 x 103, and dynamic exclusion set to 30s.
DOI: 10.5281/zenodo.3473357
title: Survey on social characteristics of human-chatbot interaction

description: These datasets contain the citations downloaded from Google Scholar, using the following search string: <em>(chatbots + chatterbots + conversational agents + conversational interfaces + conversational systems + conversation systems + dialogue systems + digital assistants + intelligent assistants + conversational user interfaces + conversational UI) -</em><em>ECA -multimodal -robots -eye-gaze -gesture -</em><em>speech-based -speech-recognition -voice-based</em> Extra options selections are: title only, exclude patents The search was performed between February and September 2018. The file "All.csv" contains all the 1046 papers selected. The other files contains the studies excluded per round. The file "Included.csv" is the primary studies analyzed in the survey, authors version available at: https://arxiv.org/abs/1904.02743
DOI: 10.5281/zenodo.3473358
title: Survey on social characteristics of human-chatbot interaction

description: These datasets contain the citations downloaded from Google Scholar, using the following search string: <em>(chatbots + chatterbots + conversational agents + conversational interfaces + conversational systems + conversation systems + dialogue systems + digital assistants + intelligent assistants + conversational user interfaces + conversational UI) -</em><em>ECA -multimodal -robots -eye-gaze -gesture -</em><em>speech-based -speech-recognition -voice-based</em> Extra options selections are: title only, exclude patents The search was performed between February and September 2018. The file "All.csv" contains all the 1046 papers selected. The other files contains the studies excluded per round. The file "Included.csv" is the primary studies analyzed in the survey, authors version available at: https://arxiv.org/abs/1904.02743
DOI: 10.3886/e108683
title: Crowding In Natural Scenes

description: The data in this project are of two experiments that investigated the effect of visual crowding in natural scenes. This study is currently under review at Cognition. <br><br>The folders for this project contain the data from two experiments, stimuli, descriptions of the stimuli, and a readme file to interpret the results files.
DOI: 10.3886/e108683v2
title: Crowding In Natural Scenes

description: The data in this project are of two experiments that investigated the effect of visual crowding in natural scenes. This study is currently under review at Cognition. <br><br>The folders for this project contain the data from two experiments, stimuli, descriptions of the stimuli, and a readme file to interpret the results files.
DOI: 10.3886/e108683v3
title: Crowding In Natural Scenes

description: The data in this project are of two experiments that investigated the effect of visual crowding in natural scenes. This study is currently under review at Cognition. <br><br>The folders for this project contain the data from two experiments, stimuli, descriptions of the stimuli, and a readme file to interpret the results files.
DOI: 10.6073/pasta/0725cbd31f2af4bca2c6ad145e38dd3a
title: McMurdo Dry Valleys LTER: A digital archive of human activity in the McMurdo Dry Valleys, Antarctica from 1902 to present

description: Over the last half century, the McMurdo Dry Valleys (MDV) of East Antarctica have become a globally important site for scientific research and environmental monitoring.Â Historical data can make important contributions to current research activities and environmental management in Antarctica, but tend to be widely scattered and difficult to access. We address this need in the MDV by compiling over 5,000 historical photographs, sketches, maps, oral interviews, publications, and other archival resources into an online digital archive. The data have been digitized and georeferenced using a standardized metadata structure, which enables intuitive searches and data discovery via an online interface. The ultimate aim of the archive is to create as comprehensive as possible a record of human activity in the MDV to support ongoing research, management, and conservation efforts. This is a valuable tool for scientists seeking to understand the dynamics of change in lakes, glaciers, and other physical systems, as well as humanistic inquire into the history of the Southern continent. In addition to providing benchmarks for understanding change over time, the data can help target field sampling for studies working under the assumption of a pristine landscape by enabling researchers to identify the date and extent of past human activities. The full database is accessible via the McMurdo Dry Valleys Long Term Ecological Research site: http://mcmurdohistory.lternet.edu/.
DOI: 10.17632/wf4rw6kgg9.1
title: ANDROMEDA data from Ejulve cave (MIS 5e to MIS 3)

description: Data for: Orbital-to-millennial scale climate variability during Marine Isotope Stages 5 to 3 in NE Spain (QSR) Stalagmite stable isotope (d18O, d13C) and trace metal data (Mg/Ca)
DOI: 10.21227/0b8k-n088
title: HUD Pedestrian Detection

description: Pedestrian detection and lane guidance
DOI: 10.21227/3dmf-g585
title: HUD Pedestrian Detection

description: Pedestrian detection and lane guidance
DOI: 10.25345/c55m21
title: MassIVE MSV000084423 - TMEM Mouse Work Protein aaaaaaaaaaaaaaaaaaaa bbbbbbbbbbbbbbbbbbbbb
title: Transmembrane protein lysosome Mouse work aaaaaaaaaaaaaaaaaaaabbbbbbbbbbbbbb
DOI: 10.7910/dvn/iywwjh/dahwjy
title: 003_GMCC_onfarm_2019_Zambia.xls

description: Contains data from 2019
DOI: 10.7910/dvn/iywwjh/r1b3av
title: 002_GMCC_onfarm_2018_Zambia.xls

description: :unav
DOI: 10.25345/c51t1g
title: MassIVE MSV000084424 - Haemming et al. A lncRNA integrates a DNA-PK-mediated DNA damage response and vascular senescence
title: Proteomic analysis on lncRNA associated proteins . Functional role of DNA-PK .
DOI: 10.5281/zenodo.3473290
title: EstSoil-EH v1.0: An eco-hydrological modelling parameters dataset derived from the Soil Map of Estonia data deposit

description: We created an extended eco-hydrological dataset for Estonia, the EstSoil-EH v1.0, containing derived numerical values for the following data in all of the mapped soil units in the 1:10 000 soil map: soil profiles (e.g., layers, depths), texture (clay, silt, and sand components), rockiness, and physical variables related to water and carbon (bulk density, hydraulic conductivity, organic carbon content). Ultimately, our objective was to develop a reproducible method for deriving numerical values to support modelling and prediction of eco-hydrological processes in Estonia using the popular Soil and Water Assessment Tool. For more information on the development of this dataset look for "EstSoil-EH v1.0: An eco-hydrological modelling parameters dataset derived from the Soil Map of Estonia", Alexander Kmoch, Arno Kanal†, Alar Astover, Ain Kull, Holger Virro, Aveliina Helm, Meelis Pärtel, Ivika Ostonen and Evelyn Uuemaa, 2019, Earth System Science Data (ESSD), ISSN 1866-3508, eISSN 1866-3516,<br> https://www.earth-syst-sci-data.net/
DOI: 10.7910/dvn/vpantg/7y2rzz
title: Fig2F_OD81_90K.txt

description: :unav
DOI: 10.7910/dvn/vpantg/kokkdz
title: FIg2B_OD86_150K_250K.txt

description: :unav
DOI: 10.7910/dvn/vpantg/nptm14
title: Fig2C_OD86_90K_150K.txt

description: :unav
DOI: 10.7910/dvn/vpantg/opfij6
title: FigS4C_OD88_T130K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/vi7ayf
title: Fig2A_D.txt

description: :unav
DOI: 10.7910/dvn/vpantg/yyoibw
title: Fig2E_OD81_150K_250K.txt

description: :unav
DOI: 10.7910/dvn/vpantg/3dwgod
title: FigS4B_OD90_T130K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/8m1n4k
title: FigS4A_OP91_T170K_edc_fit_no_peak_needed.txt

description: :unav
DOI: 10.7910/dvn/vpantg/c9w5kg
title: FigS4B_OD90_T110K_edc_fitbkg.txt

description: :unav
DOI: 10.7910/dvn/vpantg/dv5ab4
title: FigS4D_OD86_T110K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/eapkth
title: FigS4D_OD86_T150K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/oupe1t
title: FigS4B_OD90_T90K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/sz4aey
title: FigS4C_OD88_T130K_edc_fitsum.txt

description: :unav
DOI: 10.7910/dvn/vpantg/uvzexq
title: FigS4B_OD90_T170K_edc_fit_no_peak_needed.txt

description: :unav
DOI: 10.7910/dvn/vpantg/vauyrx
title: FigS4D_OD86_T130K_edc_fitbkg.txt

description: :unav
DOI: 10.7910/dvn/vpantg/8bhrxe
title: FigS4C_OD88_T170K_edc_fit_no_peak_needed.txt

description: :unav
DOI: 10.7910/dvn/vpantg/c21afp
title: FigS4A_OP91_T110K_edc_fitbkg.txt

description: :unav
DOI: 10.7910/dvn/vpantg/chcyla
title: FigS4A_OP91_T110K_edc_fitsum.txt

description: :unav
DOI: 10.7910/dvn/vpantg/dmtwvt
title: FigS4A_OP91_T90K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/qe8nyc
title: FigS4D_OD86_T90K_edc_fitsum.txt

description: :unav
DOI: 10.7910/dvn/vpantg/sd2vyr
title: FigS4G_OD88.txt

description: :unav
DOI: 10.7910/dvn/vpantg/wnj8tl
title: FigS4C_OD88_T110K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/wxs6a3
title: FigS4D_OD86_T90K_edc_fitbkg.txt

description: :unav
DOI: 10.7910/dvn/vpantg/6ronqz
title: FigS4B_OD90_T110K_edc_fitsum.txt

description: :unav
DOI: 10.7910/dvn/vpantg/ceimu1
title: FigS4D_OD86_T130K_edc_fitsum.txt

description: :unav
DOI: 10.7910/dvn/vpantg/epzk81
title: FigS4H_OD86.txt

description: :unav
DOI: 10.7910/dvn/vpantg/fiqw37
title: FigS4C_OD88_T150K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/g60lbv
title: FigS4C_OD88_T150K_edc_fitsum.txt

description: :unav
DOI: 10.7910/dvn/vpantg/qehypo
title: FigS4ABCD_data.txt

description: :unav
DOI: 10.7910/dvn/vpantg/tzno3a
title: FigS4C_OD88_T130K_edc_fitbkg.txt

description: :unav
DOI: 10.7910/dvn/vpantg/wojixd
title: FigS4B_OD90_T110K_edc_fitpeak.txt

description: :unav
DOI: 10.7910/dvn/vpantg/yb6l95
title: FigS4D_OD86_T130K_edc_fitpeak.txt

description: :unav
DOI: 10.25386/genetics.9898943
title: Supplementary Material for Sfarcic et al., 2019

description: <b>Supplementary Figure 1. Bioluminescent Signal is Stronger and More Consistent in Lysed <i>C. elegans</i> than in Intact </b><b><b><i>C. elegans</i></b>. </b><br>Bioluminescent signal measured in 100 adult worms that were intact or vortexed with Silicon Carbide beads to obtain worm lysate. Controls did not express NanoLuc but instead expressed a <i>pals-5p::GFP</i> transgene. NanoLuc expressing worms had a single copy insertion of a <i>vha-6p::Nanoluc</i> construct. Signal was measured 10 and 60 minutes after addition of the substrate Furimazine via NanoGlo Reagent (Promega). Red dots represent measurements with an optimal gain across all samples (gain 2662) and grey dots represent measurements with the maximal possible gain to determine the highest detectable luminescent signal for intact worms (max. gain 4095). With a gain of 4095, the signal from worm lysate of <i>vha-6p::Nanoluc</i> worms over-saturated the detection capability of the photomultiplier tube.<br><br><b>Supplementary Figure 2. </b><b><b><i>C. elegans</i></b> Lysate Can Be Prepared and Measured Directly in Wells of 96-well Plate.</b>(A, B) Bioluminescent signal measured in worm lysate of (A) <i>pals-5p::Nanoluc</i> or (B) <i>vha-6p::Nanoluc</i> expressing adults. Worm lysate was either prepared in 1.5 ml microfuge tubes or in wells of a 96-well assay plate. For “Lysate from tubes”, 100 ul lysate was prepared in microfuge tubes by vortexing worms, Lysis Buffer and Silicon Carbide beads. Then 50 ul of supernatant was transferred to 96-well assay plates and signal was measured. Additionally, 100 ul of lysate was prepared directly in a well of a 96-well assay plate by vortexing worms, Lysis Buffer and Silicon Carbide beads in a plate sealed with sealing tape. 50 ul of supernatant were transferred to fresh well (“Lysate from wells”) and the remaining lysate with beads was measured in presence of Silicon Carbide beads in grinding well (“Lysate + beads from wells”). Btz = bortezomib.<br>
DOI: 10.25386/genetics.9898943.v1
title: Supplementary Material for Sfarcic et al., 2019

description: <b>Supplementary Figure 1. Bioluminescent Signal is Stronger and More Consistent in Lysed <i>C. elegans</i> than in Intact </b><b><b><i>C. elegans</i></b>. </b><br>Bioluminescent signal measured in 100 adult worms that were intact or vortexed with Silicon Carbide beads to obtain worm lysate. Controls did not express NanoLuc but instead expressed a <i>pals-5p::GFP</i> transgene. NanoLuc expressing worms had a single copy insertion of a <i>vha-6p::Nanoluc</i> construct. Signal was measured 10 and 60 minutes after addition of the substrate Furimazine via NanoGlo Reagent (Promega). Red dots represent measurements with an optimal gain across all samples (gain 2662) and grey dots represent measurements with the maximal possible gain to determine the highest detectable luminescent signal for intact worms (max. gain 4095). With a gain of 4095, the signal from worm lysate of <i>vha-6p::Nanoluc</i> worms over-saturated the detection capability of the photomultiplier tube.<br><br><b>Supplementary Figure 2. </b><b><b><i>C. elegans</i></b> Lysate Can Be Prepared and Measured Directly in Wells of 96-well Plate.</b>(A, B) Bioluminescent signal measured in worm lysate of (A) <i>pals-5p::Nanoluc</i> or (B) <i>vha-6p::Nanoluc</i> expressing adults. Worm lysate was either prepared in 1.5 ml microfuge tubes or in wells of a 96-well assay plate. For “Lysate from tubes”, 100 ul lysate was prepared in microfuge tubes by vortexing worms, Lysis Buffer and Silicon Carbide beads. Then 50 ul of supernatant was transferred to 96-well assay plates and signal was measured. Additionally, 100 ul of lysate was prepared directly in a well of a 96-well assay plate by vortexing worms, Lysis Buffer and Silicon Carbide beads in a plate sealed with sealing tape. 50 ul of supernatant were transferred to fresh well (“Lysate from wells”) and the remaining lysate with beads was measured in presence of Silicon Carbide beads in grinding well (“Lysate + beads from wells”). Btz = bortezomib.<br>
DOI: 10.7910/dvn/kixv7u/pnry4q
title: AR_ZAM_CIMMYT_GMCC_onstation_2018.xls

description: Contains data from 2016-2018