cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/6a696ee6-bed5-48b6-84cd-11385da2ee56.v2
title: Data for the publication: Scaling ice-induced vibrations by combining replica modeling and preservation of kinematics

description: These data refer to the second test campaign of the SHIVER project, conducted in the Ice and Wave tank of Aalto University in spring 2023.Basin tests were performed to gather data on ice action, ice-structure interaction and ice scaling to predict ice-induced vibration of offshore structures (e.g., offshore wind turbines, lighthouses, channel markers).Tests were conducted with a real-time hybrid test setup, which had been used during the first test campaign of the SHIVER project (go to publication, go to data). Small modification of the setup allowed to test substructures with different diameters and shape at the water line and improved data reliability.Detailed explanations of the test setup, test matrix, and test results are provided in the publication <em>Scaling ice-induced vibrations by combining replica modeling and preservation of kinematics</em> published by Cold Regions Science and Technology. Refer to the README.pdf file for more information about the data uploaded. Contact Tim C. Hammer (t.c.hammer@tudelft.nl) for additional information.
DOI: 10.6084/m9.figshare.20479695
title: Additional file 8 of Molecular basis of high temperature-induced bolting in lettuce revealed by multi-omics analysis

description: Additional file 8. Overlap between DEGs and DMR-associated genes during high temperature treatment at 8 day.
DOI: 10.6084/m9.figshare.20479632
title: Additional file 5 of Integration of protein context improves protein-based COVID-19 patient stratification

description: Additional file 5: Table S4. The total 192 differential features between severe and non-severe patients.
DOI: 10.6084/m9.figshare.20479632.v1
title: Additional file 5 of Integration of protein context improves protein-based COVID-19 patient stratification

description: Additional file 5: Table S4. The total 192 differential features between severe and non-severe patients.
DOI: 10.6084/m9.figshare.6848030.v1
title: Additional file 3: of Antennal transcriptome analysis of the chemosensory gene families in Carposina sasakii (Lepidoptera: Carposinidae)

description: Primers designed for fluorescence quantitative real-time PCR. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.13662558.v1
title: Additional file 2 of Circ_0000020 elevates the expression of PIK3CA and facilitates the malignant phenotypes of glioma cells via targeting miR-142-5p

description: Additional file 2. The targets of miR-142-5p in StarBase, miRDB and TargetScan databases.
DOI: 10.6084/m9.figshare.20479680
title: Additional file 3 of Molecular basis of high temperature-induced bolting in lettuce revealed by multi-omics analysis

description: Additional file 3. Table S2. Overlap between DEGs and DE miRNA targets during high temperature treatment at 2 day
DOI: 10.5258/soton/d2208
title: Dataset to support the paper "Broadband Incoherent-Pumped Raman Amplification for U-band Transmission Systems"

description: Dataset to support the paper by N. Taengnoi, K. R. H. Bottrill, Y. Hong, L. Hanzo and P. Petropoulos, "Broadband Incoherently Pumped Raman Amplification for Ultra-Long Span U-band Transmission Systems," 2022 European Conference on Optical Communication (ECOC), Basel, Switzerland, 2022, pp. 1-4.
https://ieeexplore.ieee.org/document/9979265

The data demonstrate broadband incoherently pumped U-band distributed Raman amplification for ultra-long span communications. Using a transmission NZDSF as the amplifying medium, transmission of 18.4 Gb/s DP-BPSK over a single span of 285 km is demonstrated.

The data contains excel files for each figure, and are contained within a directory of the same name. Data files are named after the Figure they correspond to and contain the data necessary to recreate the plots. Data for Fig-1 is not included, as Fig-1 contains only a schematic

This work was supported by the UK’s EPSRC under the Airguide Photonics, COALESCE, and PHOS grants (EP/P030181/1, EP/P003990/1, EP/S002871/1).
DOI: 10.6084/m9.figshare.13662486
title: Additional file 1 of RCO-3 and COL-26 form an external-to-internal module that regulates the dual-affinity glucose transport system in Neurospora crassa

description: Additional file 1. Additional tables.
DOI: 10.6084/m9.figshare.20479689
title: Additional file 6 of Molecular basis of high temperature-induced bolting in lettuce revealed by multi-omics analysis

description: Additional file 6. Differentially methylated loci.
DOI: 10.6084/m9.figshare.20479695.v1
title: Additional file 8 of Molecular basis of high temperature-induced bolting in lettuce revealed by multi-omics analysis

description: Additional file 8. Overlap between DEGs and DMR-associated genes during high temperature treatment at 8 day.
DOI: 10.6084/m9.figshare.13662486.v1
title: Additional file 1 of RCO-3 and COL-26 form an external-to-internal module that regulates the dual-affinity glucose transport system in Neurospora crassa

description: Additional file 1. Additional tables.
DOI: 10.6084/m9.figshare.20479683.v1
title: Additional file 4 of Molecular basis of high temperature-induced bolting in lettuce revealed by multi-omics analysis

description: Additional file 4. Overlap between DEGs and DE miRNA targets during high temperature treatment at 8 day.
DOI: 10.6084/m9.figshare.20479778.v1
title: Additional file 3 of Metagenomic assembly reveals hosts and mobility of common antibiotic resistome in animal manure and commercial compost

description: Additional file 3. Dataset 2 Bacterial community compositions in manure and compost samples at phylum level.
DOI: 10.6084/m9.figshare.20479775.v1
title: Additional file 2 of Metagenomic assembly reveals hosts and mobility of common antibiotic resistome in animal manure and commercial compost

description: Additional file 2. Dataset 1 Concentrations of antibiotics in manures and composts. Nineteen antibiotics including: sulfadiazine (SDZ), sulfadimethoxine (SMX), sulfamethoxazole (SMZ), sulfachlorpyridazine (SCP), tetracycline (TC), chlortetracycline (CTC), oxytetracycline (OTC), doxycycline (DC), erythromycin (ETM), tylosin (TYL), roxithromycin (RTM), norfloxacin (NFX), ciprofloxacin (CFX), enrofloxacin (EFX) and lomefloxacin (LFX), florfenicol (FF) and chloramphenicol (CAP), ceftiofur (CEFT).
DOI: 10.21223/p3/tcblpt/1kvnvf
title: codebook_SUSTAIN_KENYA_BASE_PART5E_Consumption of OFSP.log

description: :unav
DOI: 10.21223/p3/tcblpt/2k8kee
title: codebook_SUSTAIN_KENYA_BASE_PART4B_income_othersources.log

description: :unav
DOI: 10.21223/p3/tcblpt/cfnxmv
title: codebook_SUSTAIN_KENYA_BASE_PART5C_Dietary diversity.log

description: :unav
DOI: 10.21223/p3/tcblpt/gxcdq2
title: codebook_SUSTAIN_KENYA_BASE_PART4E_Land_Assets.log

description: :unav
DOI: 10.21223/p3/tcblpt/rntzfo
title: codebook_SUSTAIN_KENYA_BASE_PART4D_physical_assets.log

description: :unav
DOI: 10.21223/p3/tcblpt/uelkqy
title: codebook_SUSTAIN_KENYA_BASE_PART4F_Facilities_Amenities.log

description: :unav
DOI: 10.21223/p3/tcblpt/w4we2a
title: codebook_SUSTAIN_KENYA_BASE_PART5D_Food frequency.log

description: :unav
DOI: 10.21223/p3/tcblpt/whiyhl
title: codebook_SUSTAIN_KENYA_BASE_PART4A_livestock owned.log

description: :unav
DOI: 10.7910/dvn/ghcv1g/7mdty0
title: ML_300msEM200_MP4-82.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/9fgfbf
title: ML_300msEM200_MP2-312.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ccn4vi
title: ML_300msEM200_MP2-308.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/exutli
title: ML_300msEM200_MP4-298.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/k9iibi
title: ML_300msEM200_MP2-96.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/s8li2b
title: ML_300msEM200_MP4-51.mat

description: :unav
DOI: 10.21223/p3/tcblpt/dsecl8
title: codebook_SUSTAIN_KENYA_BASE_PART5G_IYCF_marternalKnowledge.log

description: :unav
DOI: 10.21223/p3/tcblpt/jrpe8i
title: codebook_SUSTAIN_KENYA_BASE_Question4_Feelings and moods about OFSP.log

description: :unav
DOI: 10.21223/p3/tcblpt/km90m9
title: codebook_SUSTAIN_KENYA_BASE_Question2_Expected liking.log

description: :unav
DOI: 10.21223/p3/tcblpt/lpwed1
title: codebook_SUSTAIN_KENYA_BASE_Question3_Actual liking.log

description: :unav
DOI: 10.21223/p3/tcblpt/me36up
title: codebook_SUSTAIN_KENYA_BASE_PART5F_OFPKnowledge.log

description: :unav
DOI: 10.21223/p3/tcblpt/phbzo5
title: codebook_SUSTAIN_KENYA_BASE_Question4_Trust in information sources.log

description: :unav
DOI: 10.21223/p3/tcblpt/usmlde
title: codebook_SUSTAIN_KENYA_BASE_PART601_Personal involvement.log

description: :unav
DOI: 10.21223/p3/tcblpt/v1zpeo
title: codebook_SUSTAIN_KENYA_BASE_PARTB_hhdComposition.log

description: :unav
DOI: 10.21223/p3/tcblpt/zsfxf6
title: codebook_SUSTAIN_SUSTAIN_KENYA_BASE_PARTA_015_SITEID.log

description: :unav
DOI: 10.7910/dvn/ghcv1g/254fns
title: ML_300msEM200_MP2-98.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/2mhapc
title: ML_300msEM200_MP4-205.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/4zvzdb
title: ML_300msEM200_MP4-0.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/6cvuhk
title: ML_300msEM200_MP4-6.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/c5a198
title: ML_300msEM200_MP4-102.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qwapyr
title: ML_300msEM200_MP4-3.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vm0oij
title: ML_300msEM200_MP2-306.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/z4sywq
title: ML_300msEM200_MP4-303.mat

description: :unav
DOI: 10.21223/p3/fformj/fwf3ja
title: PTLate_blight092014_OXAPMP_exp4.tab

description: :unav
DOI: 10.21223/p3/fformj/r1pyy1
title: PTLate_blight092014_OXAPMP_exp3.tab

description: :unav
DOI: 10.21223/p3/fformj/smyswi
title: Data_dictionary.xls

description: :unav
DOI: 10.21223/p3/tcblpt/7qpufl
title: codebook_SUSTAIN_KENYA_BASE_PAcontrolPARRT5H_minimum_meal_frequency.log

description: :unav
DOI: 10.21223/p3/tcblpt/guh0z9
title: codebook_SUSTAIN_KENYA_BASE_PART2A_varieties..log

description: :unav
DOI: 10.21223/p3/tcblpt/kmmjcy
title: codebook_SUSTAIN_KENYA_BASE_Consumer_Part_Quality control.log

description: :unav
DOI: 10.21223/p3/tcblpt/vkzfyf
title: codebook_SUSTAIN_KENYA_BASE_PART2A_sweetpotato knowledge adoption disadoption.log

description: :unav
DOI: 10.21223/p3/tcblpt/vnxdxy
title: codebook_WASH PRACTICES.log

description: :unav
DOI: 10.21227/0gwz-e679
title: Corona Virus (COVID-19) Tweets Dataset

description: Tweets Counter: 16.1 Million plus (collecting since Feb 1, 2020)Update: I have been receiving a lot of requests asking to add the user's ID & location for each collected tweets. I've made necessary changes to the model to include these two details as well. Tweets collected after March 17, 2020 12:20 GMT+5:45 (starting the file corona_tweets_1M_3.zip) will have these extra details.The first column has date and time in the Unix timestamp. You can easily make it readable using pandas: df['date'] = pd.to_datetime[df['unix'], unit='ms'].Each database (*.db) contain five columns.First column: date and time of the tweetSecond column: user's ID (tweets collected after March 17, 2020 12:20 GMT+5:45 )Third column: user's location (tweets collected after March 17, 2020 12:20 GMT+5:45 )Fourth column: tweetFifth column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live.To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [1] has been appended as the last column. New databases will be added to this dataset every week. Bookmark this page for further updates. [1] https://textblob.readthedocs.io/en/dev/
DOI: 10.7910/dvn/ghcv1g/1n1zxl
title: ML_300msEM200_MP2-215.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/a7ghxy
title: ML_300msEM200_MP4-4.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/bowqif
title: ML_300msEM200_MP4-217.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/khcigo
title: ML_300msEM200_MP4-89.mat

description: :unav
DOI: 10.21223/p3/tcblpt/2jjmuv
title: SUSTAIN baseline questionaire.doc

description: :unav
DOI: 10.21223/p3/tcblpt/fq7ams
title: SUS_BASE_PART2A_VARIETIES.tab

description: :unav
DOI: 10.21223/p3/tcblpt/jxyiqp
title: SUS_BASE_015_SITEID_13.dta

description: :unav
DOI: 10.21223/p3/tcblpt/v0didm
title: codebook_SUSTAIN_KENYA_BASE_PART2B_Non_labor_input_use.log

description: :unav
DOI: 10.21223/p3/tcblpt/vkmrul
title: LIST OF FILES CONTAINED IN THE SUSTAIN BASELINE DATA.docx

description: :unav
DOI: 10.21223/p3/tcblpt/zvfrvx
title: SUS_BASE_PART2A_sweetpotato knowledge adoption disadoption.tab

description: :unav
DOI: 10.7910/dvn/ghcv1g/aywn8z
title: ML_300msEM200_MP2-209.mat

description: :unav
DOI: 10.21223/p3/tcblpt/1dcfn1
title: SUSTAIN_KENYA_BASE_Other sources income.tab

description: :unav
DOI: 10.21223/p3/tcblpt/9oxtuh
title: SUS_BASE_PART2B_non_labour input use.tab

description: :unav
DOI: 10.21223/p3/tcblpt/aygaur
title: SUS_BASE_PARTB_hhdComposition.dta

description: :unav
DOI: 10.21223/p3/tcblpt/cijlgf
title: SUSTAIN_KENYA_BASE_farmerId_introduction.dta

description: :unav
DOI: 10.21223/p3/tcblpt/k4emeu
title: SUSTAIN_KENYA_BASE PART4E_Facilities_amenities.tab

description: :unav
DOI: 10.21223/p3/tcblpt/okdvzt
title: SUSTAIN_BASE_qtycontrol_Consumer_study.dta

description: :unav
DOI: 10.21223/p3/tcblpt/q4djeq
title: SUSTAIN_KENYA_BASE_PART2D_production utilisation.tab

description: :unav
DOI: 10.21223/p3/tcblpt/qpuoxw
title: SUSTAIN_KENYA_BASE_PART2C_labour_use_sweetpotato.tab

description: :unav
DOI: 10.21223/p3/tcblpt/wi2ohz
title: SUSTAIN_KENYA_BASE_livestock_Assets.tab

description: :unav
DOI: 10.21223/p3/tcblpt/7mbcq6
title: SUSTAIN_KENYA_BASE_PART2D06-D11_production utilisation.tab

description: :unav
DOI: 10.21223/p3/tcblpt/gvmzm0
title: SUSTAIN_KENYA_BASE_Part5_HFIAS.tab

description: :unav
DOI: 10.21223/p3/tcblpt/jdeozk
title: SUSTAIN_KENYA_BASE_PART4D_Physical assets.tab

description: :unav
DOI: 10.21223/p3/tcblpt/nf9ftg
title: SUSTAIN_KENYA_BASE_Part5C_Dietary diversity.dta

description: :unav
DOI: 10.21223/p3/tcblpt/ozluq8
title: SUSTAIN_KENYA_BASE_Part5D_Food frequency.tab

description: :unav
DOI: 10.21223/p3/tcblpt/smvhc7
title: SUSTAIN_KENYA_BASE_PART4D_Land_Assets.tab

description: :unav
DOI: 10.21223/p3/tcblpt/zfkknt
title: SUSTAIN_KENYA_BASE_PART2G_Vine dissemination.tab

description: :unav
DOI: 10.21223/p3/tcblpt/9xljfo
title: SUSTAIN_KENYA_BASE_Part5G_IYCF_mareternalKnowledge.tab

description: :unav
DOI: 10.21223/p3/tcblpt/bllbtu
title: SUSTAIN_KENYA_BASE_PARTE_sweetpotato characteristics.tab

description: :unav
DOI: 10.21223/p3/tcblpt/ddtyxl
title: SUSTAIN_KENYA_BASE_Part5F_OFSPKnowledge_attitude_perception.tab

description: :unav
DOI: 10.21223/p3/tcblpt/h9ja7t
title: SUSTAIN_KENYA_BASE_Part5H_Minimum_meal_frequency.tab

description: :unav
DOI: 10.21223/p3/tcblpt/xwgn5m
title: SUSTAIN_KENYA_BASE_Part5E_consumption of OFSP.tab

description: :unav
DOI: 10.21223/p3/tcblpt/xxehyl
title: SUSTAIN_KENYA_BASE_Part601_personal involvement.tab

description: :unav
DOI: 10.21223/p3/tcblpt/ythqmt
title: SUSTAIN_KENYA_BASE_Part5I_WASH.tab

description: :unav
DOI: 10.21223/p3/tcblpt/3szxtc
title: SUSTAIN_KENYA_BASE_Transaction characteristics.tab

description: :unav
DOI: 10.21223/p3/tcblpt/a7mcyf
title: SUSTAIN_KENYA_BASE_Qn4_Feelings and moods about OFSP.tab

description: :unav
DOI: 10.21223/p3/tcblpt/abpmqy
title: SUSTAIN_KENYA_BASE_Production sale othercrops.tab

description: :unav
DOI: 10.21223/p3/tcblpt/mteivv
title: SUSTAIN_KENYA_BASE_Qn2_Expected liking.tab

description: :unav
DOI: 10.21223/p3/tcblpt/nno5av
title: SUSTAIN_KENYA_BASE_Qn3_actual liking.tab

description: :unav
DOI: 10.21223/p3/tcblpt/zoe4us
title: SUSTAIN_KENYA_BASE_Qn5_Trust in information sources.tab

description: :unav
DOI: 10.21223/p3/cblrdj/hc4e8k
title: Trialeurodes _Colombia_Peru_2_5 min_2050_GI.asc

description: :unav
DOI: 10.21223/p3/cblrdj/jlb4jj
title: Transmission summary of PYVV.pdf

description: :unav
DOI: 10.21223/p3/cblrdj/6qu1ag
title: Trialeurodes _Colombia_Peru_2_5 min_2000_GI.asc

description: :unav
DOI: 10.21223/p3/cblrdj/fdsbcy
title: Trialeurodes _Colombia_Peru_2_5 min_2000_AI.asc

description: :unav
DOI: 10.21223/p3/cblrdj/iauxjo
title: Trialeurodes _Colombia_Peru_2_5 min_2050_ERI.asc

description: :unav
DOI: 10.21223/p3/cblrdj/nigkw0
title: Trialeurodes _Colombia_Peru_2_5 min_2050_AI.asc

description: :unav
DOI: 10.21223/p3/cblrdj/qo2bze
title: Trialeurodes _Colombia_Peru_2_5 min_2000_ERI.asc

description: :unav
DOI: 10.21223/p3/clypci/4fqi1g
title: World _10min_2000_AI.asc

description: :unav
DOI: 10.21223/p3/clypci/dg2dje
title: World _10min_2000_ERI.asc

description: :unav
DOI: 10.21223/p3/clypci/hhhxdw
title: Phenology summary of Prodiplosis longifila.pdf

description: :unav
DOI: 10.21223/p3/clypci/qt5oiq
title: World _10min_2000_GI.asc

description: :unav
DOI: 10.21223/p3/clypci/xsnntt
title: World _10min_2050_AI.asc

description: :unav
DOI: 10.21223/p3/clypci/9gmela
title: World _10min_2050_GI.asc

description: :unav
DOI: 10.21223/p3/clypci/mm4n1v
title: World _10min_2050_ERI.asc

description: :unav
DOI: 10.21223/p3/clypci/sgara2
title: ProdiplosisLongifila-AFT-2018.rar

description: :unav
DOI: 10.17632/7cpv86fwch.1
title: Data for: The role of political patronage on risk-taking behavior of banks in Middle East and North Africa region

description: Our sample contains 32 commercial banks operating in 6 MENA countries: Tunisia, Egypt, Lebanon, Jordan, Yemen and Iran. MENA region is made of many countries and large number of banks. Although the sample does not include all countries of the region, it is still representative for developing economies and countries characterized by authoritarian regimes and sharing same features (high level of corruption, weak legal system and business restrictions...). In such countries, political patronage may play a vital role. Annual financial data and key ratios are obtained from the Bureau van Dijk ‘Bankscope’ database. For the period of 2003-2014, an unbalanced panel data of 359 bank-year observations is constructed. For each individual we collect information on their biographies, current and former position held and political background such as positions in parliament, ministries and government, relationships with royal families, ministers or heads of state from various websites such as Bloomberg (https://www.bloomberg.com/), Zonebourse (https://www.zonebourse.com/) and Wikipedia (https://fr.wikipedia.org).
DOI: 10.21223/p3/j7bjvj/ibejkf
title: DW25.txt

description: :unav
DOI: 10.21223/p3/j7bjvj/njruhq
title: DWOVIP.txt

description: :unav
DOI: 10.21223/p3/j7bjvj/qx4gs5
title: DW35.txt

description: :unav
DOI: 10.21223/p3/j7bjvj/ur8kuu
title: Phenology summary of Diglyphus websteri.pdf

description: :unav
DOI: 10.21223/p3/j7bjvj/dnao2r
title: DW30.txt

description: :unav
DOI: 10.21223/p3/j7bjvj/ivfdmi
title: DW15.txt

description: :unav
DOI: 10.21223/p3/j7bjvj/yunicq
title: DW20.txt

description: :unav
DOI: 10.21223/p3/2mioy6/bkqqyr
title: encarsia-mundo-2000-sinAV_GI.asc

description: :unav
DOI: 10.21223/p3/2mioy6/meccrq
title: L_cohort.txt

description: :unav
DOI: 10.21223/p3/2mioy6/sk9yyf
title: encarsia-mundo-2000-sinAV_AI.asc

description: :unav
DOI: 10.21223/p3/2mioy6/tvhxot
title: encarsia-mundo-2050-sinAV_AI.asc

description: :unav
DOI: 10.21223/p3/2mioy6/8ztap4
title: P_cohort.txt

description: :unav
DOI: 10.21223/p3/2mioy6/bqhbue
title: Female_cohort.txt

description: :unav
DOI: 10.21223/p3/2mioy6/g8cmrq
title: encarsia-mundo-2050-sinAV_GI.asc

description: :unav
DOI: 10.21223/p3/2mioy6/mwoggw
title: Oviposition.txt

description: :unav
DOI: 10.21223/p3/2mioy6/nfgg50
title: Phenology Summary of Encarsia Tabacivora.pdf

description: :unav
DOI: 10.21223/p3/2mioy6/ntkhed
title: encarsia-mundo-2000-sinAV_ERI.asc

description: :unav
DOI: 10.21223/p3/2mioy6/wgtx8f
title: encarsia-mundo-2050-sinAV_ERI.asc

description: :unav
DOI: 10.21223/p3/dxbpkz/f5pgbs
title: DB_20.txt

description: :unav
DOI: 10.21223/p3/dxbpkz/gbtnyv
title: DB_10.txt

description: :unav
DOI: 10.21223/p3/dxbpkz/mios44
title: DB_25.txt

description: :unav
DOI: 10.21223/p3/dxbpkz/tiie2n
title: Phenology summary of Diglyphus-begini.pdf

description: :unav
DOI: 10.21223/p3/dxbpkz/tradax
title: DB_35.txt

description: :unav
DOI: 10.21223/p3/dxbpkz/ucdtaa
title: DB_OVIPCTE.txt

description: :unav
DOI: 10.21223/p3/dxbpkz/zquxio
title: DB_30.txt

description: :unav
DOI: 10.21223/p3/p9kkcu/5uufke
title: 25 Life table D. quinculus LIV.txt

description: :unav
DOI: 10.21223/p3/p9kkcu/7dzvth
title: 32 Life table D. quinculus LIV.txt

description: :unav
DOI: 10.21223/p3/p9kkcu/debwa7
title: Phenology Summary of Delphastus quinculus.pdf

description: :unav
DOI: 10.21223/p3/p9kkcu/hibe2n
title: 18 Life table D. quinculus LIV.txt

description: :unav
DOI: 10.21223/p3/p9kkcu/qm6chp
title: 20 Life table D. quinculus LIV.txt

description: :unav
DOI: 10.21223/p3/p9kkcu/qywjfx
title: 28 Life table D. quinculus LIV.txt

description: :unav
DOI: 10.25919/5e72dff1a0f2e
title: Parkes observations for project P737 semester 2019OCTS_06

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. The scheduled time is used to measure beam shapes, determine polarisation calibration solutions and commission the National Facility observing modes for the new wide-band receiver.
DOI: 10.21223/p3/aaihvz/lajwco
title: Vegetative_material_list.tab

description: :unav
DOI: 10.21223/p3/aaihvz/myctyz
title: SNPs_database.tab

description: :unav
DOI: 10.21223/p3/aaihvz/ovtyb3
title: Genotype_combinations.xlsx

description: :unav
DOI: 10.21223/p3/aaihvz/ucwo5g
title: Dictionary.xls

description: :unav
DOI: 10.5281/zenodo.3715554
title: Data for 2020GL087949R

description: Data used in the paper 2020GL087949R, which has been submitted to Geophysical Research Letters. This is the new version of 'Data for 2020GL087949' (https://doi.org/10.5281/zenodo.3715555).
DOI: 10.5281/zenodo.3715555
title: Data for 2020GL087949

description: Data used in the paper 2020GL087949, which was submitted to Geophysical Research Letters.
DOI: 10.21227/ahck-b537
title: A human video database for facial feature detection under spectacles with varying alertness levels

description: Pressing demand of workload along with social media interaction leads to diminished alertness during work hours.Researchers attempted to measure alertness level from various cues like EEG, EOG, Video-based eye movement analysis,etc. Among these, video-based eyelid and iris motion tracking gained much attention in recent years. However, most of theseimplementations are tested on video data of subjects without spectacles. These videos do not pose a challenge for eye detectionand tracking. In this work, we have designed an experiment to yield a video database of 58 human subjects wearing spectaclesand are at different levels of alertness. Along with spectacles, we introduced variation in session, recording frame rate (fps),illumination, and time of the experiment. We carried out analysis to detect the reliableness of facial and ocular features likeyawning and eyeblinks in the context of alertness level detection capability. Also, we observe the influence of spectacles on ocularfeature detection performance under spectacles and propose a simple preprocessing step to alleviate the specular reflectionproblem. Extensive experiments on real-world images demonstrate that our approach achieves desirable reflection suppressionresults within minimum execution time compared to the state of the art.
DOI: 10.14457/cmu.the.2011.509
title: การวิเคราะห์ศักยภาพการดำเนินงานของกลุ่มผู้ผลิตผ้าทอมือภายใต้โครงการหนึ่งตำบลหนึ่งผลิตภัณฑ์ในจังหวัดอุตรดิตถ์
DOI: 10.14457/cmu.the.2011.510
title: การถ่ายทอดภูมิปัญญาท้องถิ่นสู่เยาวชน ด้วยกระบวนการสิ่งแวดล้อมศึกษาของกลุ่มสตรีผู้นำชุมชน กรณีศึกษา หมู่บ้านหัวทุ่ง ตำบลเชียงดาว อำเภอเชียงดาว จังหวัดเชียงใหม่
DOI: 10.14457/cmu.the.2011.511
title: การปรับปรุงประสิทธิภาพการผลิตแผ่นคริสตัลแบลงค์โดยใช้ระบบผลิตแบบลีน
DOI: 10.14457/cmu.the.2011.512
title: การศึกษาความเป็นไปได้ในโครงการลงทุนอพาร์ทเมนต์ ในอำเภอบ้านแพ้ว จังหวัดสมุทรสาคร