cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24p8gl
title: CCDC 1986649: Experimental Crystal Structure Determination

description: Related Article: Mingyue Wu, Zhaobin Han, Huanzhen Ni, Nengzhong Wang, Kuiling Ding, Yixin Lu|2022|Chemical Science|13|3161|doi:10.1039/D1SC06364B
DOI: 10.5517/ccdc.csd.cc25y56j
title: CCDC 2024027: Experimental Crystal Structure Determination

description: Related Article: Mingyue Wu, Zhaobin Han, Huanzhen Ni, Nengzhong Wang, Kuiling Ding, Yixin Lu|2022|Chemical Science|13|3161|doi:10.1039/D1SC06364B
DOI: 10.5517/ccdc.csd.cc281gsl
title: CCDC 2086789: Experimental Crystal Structure Determination

description: Related Article: Hao Li, Yu Tang, Kai-Yuan Liang, Yi Zang, Ezzat E.A. Osman, Ze-Xin Jin, Jia Li, Juan Xiong, Junmin Li, Jin-Feng Hu|2022|Phytochemistry|198|113161|doi:10.1016/j.phytochem.2022.113161
DOI: 10.5517/ccdc.csd.cc285vht
title: CCDC 2090996: Experimental Crystal Structure Determination

description: Related Article: Lihong Wang, Ruiyang Ma, Jiaqiong Sun, Guangfan Zheng, Qian Zhang|2022|Chemical Science|13|3169|doi:10.1039/D1SC06100C
DOI: 10.5517/ccdc.csd.cc28dlr1
title: CCDC 2097483: Experimental Crystal Structure Determination

description: Related Article: Babak Kaboudin, Atieh Moradi, Hesam Esfandiari, Payam Daliri, Foad Kazemi, Hikaru Yanai, Hiroshi Aoyama|2022|Org.Biomol.Chem.|20|2500|doi:10.1039/D2OB00037G
DOI: 10.5517/ccdc.csd.cc28rf4m
title: CCDC 2107880: Experimental Crystal Structure Determination

description: Related Article: Sanjay Adhikari, Aniruddha Sarkar, Basab Bijayi Dhar|2022|Chem.Commun.|58|4075|doi:10.1039/D2CC00639A
DOI: 10.5517/ccdc.csd.cc28rwdb
title: CCDC 2108322: Experimental Crystal Structure Determination

description: Related Article: Sanjay Adhikari, Aniruddha Sarkar, Basab Bijayi Dhar|2022|Chem.Commun.|58|4075|doi:10.1039/D2CC00639A
DOI: 10.5517/ccdc.csd.cc28rwfc
title: CCDC 2108323: Experimental Crystal Structure Determination

description: Related Article: Sanjay Adhikari, Aniruddha Sarkar, Basab Bijayi Dhar|2022|Chem.Commun.|58|4075|doi:10.1039/D2CC00639A
DOI: 10.5517/ccdc.csd.cc28rwgd
title: CCDC 2108324: Experimental Crystal Structure Determination

description: Related Article: Sanjay Adhikari, Aniruddha Sarkar, Basab Bijayi Dhar|2022|Chem.Commun.|58|4075|doi:10.1039/D2CC00639A
DOI: 10.5517/ccdc.csd.cc28rz34
title: CCDC 2108406: Experimental Crystal Structure Determination

description: Related Article: Si-Hui Mi, Peng Zhao, Qian Li, Hao Zhang, Rui Guo, Yu-Yang Liu, Bin Lin, Guo-Dong Yao, Shao-Jiang Song, Xiao-Xiao Huang|2022|Phytochemistry|198|113144|doi:10.1016/j.phytochem.2022.113144
DOI: 10.5517/ccdc.csd.cc28z49q
title: CCDC 2114333: Experimental Crystal Structure Determination

description: Related Article: Satish G. More, Gurunath Suryavanshi|2022|Org.Biomol.Chem.|20|2518|doi:10.1039/D2OB00213B
DOI: 10.5517/ccdc.csd.cc29640p
title: CCDC 2121051: Experimental Crystal Structure Determination

description: Related Article: Justin L. Lee, Saborni Biswas, Chen Sun, Joseph W. Ziller, Michael P. Hendrich, A. S. Borovik|2022|J.Am.Chem.Soc.|144|4559|doi:10.1021/jacs.1c12888
DOI: 10.5517/ccdc.csd.cc29641q
title: CCDC 2121052: Experimental Crystal Structure Determination

description: Related Article: Justin L. Lee, Saborni Biswas, Chen Sun, Joseph W. Ziller, Michael P. Hendrich, A. S. Borovik|2022|J.Am.Chem.Soc.|144|4559|doi:10.1021/jacs.1c12888
DOI: 10.5517/ccdc.csd.cc29642r
title: CCDC 2121053: Experimental Crystal Structure Determination

description: Related Article: Justin L. Lee, Saborni Biswas, Chen Sun, Joseph W. Ziller, Michael P. Hendrich, A. S. Borovik|2022|J.Am.Chem.Soc.|144|4559|doi:10.1021/jacs.1c12888
DOI: 10.5517/ccdc.csd.cc29jpyh
title: CCDC 2131217: Experimental Crystal Structure Determination

description: Related Article: Qi Xue, Fuqiang Bi, Yifen Luo, Jiarong Zhang, Kaidi Yang, Bozhou Wang, Ganglin Xue|2022|RSC Advances|12|7712|doi:10.1039/D2RA00215A
DOI: 10.5517/ccdc.csd.cc29jpzj
title: CCDC 2131218: Experimental Crystal Structure Determination

description: Related Article: Qi Xue, Fuqiang Bi, Yifen Luo, Jiarong Zhang, Kaidi Yang, Bozhou Wang, Ganglin Xue|2022|RSC Advances|12|7712|doi:10.1039/D2RA00215A
DOI: 10.5517/ccdc.csd.cc29ynkh
title: CCDC 2143667: Experimental Crystal Structure Determination

description: Related Article: Milica N. Dimitrijević Stojanović, Andjela A. Franich, Milena M. Jurišević, Nevena M. Gajović, Nebojša N. Arsenijević, Ivan P. Jovanović, Bojan S. Stojanović, Slobodanka Lj. Mitrović, Jakob Kljun, Snežana Rajković, Marija D. Živković|2022|J.Inorg.Biochem.|231|111773|doi:10.1016/j.jinorgbio.2022.111773
DOI: 10.5519/qd.9v6sxtms
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5083876 records)
DOI: 10.5281/zenodo.6386288
title: the climatic data and socioeconomic data

description: the climatic data and socioeconomic data in Xinjiang
DOI: 10.5281/zenodo.6386287
title: the climatic data and socioeconomic data

description: the climatic data and socioeconomic data in Xinjiang
DOI: 10.25550/z-2nmr
title: RNA-seq analysis of control and Kdm6b mutant mouse palatal tissue at E12.5

description: We transcriptionally profiled (RNA-seq) palatal tissue at E12.5 between control and Kdm6b mutant mice.
DOI: 10.6084/m9.figshare.14558766
title: APG.zip

description: The original image is a Google Earth image of Shouguang City, Shandong Province in 2020 with a resolution of 0.95 m. The original image and the labeled image are one-to-one images of 512*512 size, the format of the original image is three-channel jpg, and the labeled image is single-channel png with pixel values of 0 and 1. The original image is in the imgs folder, and the labeled image is in the labels.<br>
DOI: 10.6084/m9.figshare.14558766.v1
title: APG.zip

description: The original image is a Google Earth image of Shouguang City, Shandong Province in 2020 with a resolution of 0.95 m. The original image and the labeled image are one-to-one images of 512*512 size, the format of the original image is three-channel jpg, and the labeled image is single-channel png with pixel values of 0 and 1. The original image is in the imgs folder, and the labeled image is in the labels.<br>
DOI: 10.5281/zenodo.6379373
title: CompBMus_FAIR

description: Making Byzantine Computational Musicology FAIR - a working example This is the repository for the <strong>Making Byzantine Computational Musicology FAIR - a working example</strong> project. We have submitted a short paper for this. In this repository, there is a folder with the dataset, the data package schemas in YAML file, as well as the python code (main.py) for describing and validating the data. Upon acceptance of the paper, the accepted draft will also be uploaded.
DOI: 10.5281/zenodo.6386408
title: Hypoplectrus nigricans SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6386407
title: Hypoplectrus nigricans SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.19424027
title: ESTRATÉGIAS DE APOIO AO CUIDADOR DE PESSOAS COM CÂNCER: REVISÃO INTEGRATIVA

description: Trata-se de uma revisão integrativa da literatura, conceituada como um método que possibilita o resumo de evidências de diversos estudos sobre um determinado tema por meio de um processo fragmentado em etapas, com a definição da questão norteadora, busca e seleção de estudos, observação dos dados principais, avaliação destes estudos, resumos dos resultados e apresentação da metodologia<sup>19</sup>. A estratégia de busca consistiu em acesso a bases de dados BDENF (Base de Dados de Enfermagem), LILACS (Literatura Latino-Americana e do Caribe em Ciências da Saúde), MEDLINE (Medical Literature Analysis and Retrieval System Online), Portal CAPES (Portal de Periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), PubMed (U.S. National Library of Medicine National Institute of Health) e SciELO (Scientific Electronic Library Online). A pergunta utilizada para motivar o aprofundamento na temática da revisão foi: Quais estratégias de cuidado e apoio estão sendo oferecidas a cuidadores de pessoas com câncer no âmbito hospitalar e/ou ambulatorial? Utilizou-se a estratégia PICOT<sup>19</sup>para delimitar a revisão integrativa. Sendo a mesma um acrônimo, representando no presente estudo: P) População (cuidadores de pacientes com câncer); I) Intervenção (estratégias de cuidado e apoio oferecidas no âmbito hospitalar e/ou ambulatorial); C) Comparação (essas estratégias beneficiam?); T) Tempo (estudos publicados nos últimos cinco anos).
DOI: 10.6084/m9.figshare.19424027.v1
title: ESTRATÉGIAS DE APOIO AO CUIDADOR DE PESSOAS COM CÂNCER: REVISÃO INTEGRATIVA

description: Trata-se de uma revisão integrativa da literatura, conceituada como um método que possibilita o resumo de evidências de diversos estudos sobre um determinado tema por meio de um processo fragmentado em etapas, com a definição da questão norteadora, busca e seleção de estudos, observação dos dados principais, avaliação destes estudos, resumos dos resultados e apresentação da metodologia<sup>19</sup>. A estratégia de busca consistiu em acesso a bases de dados BDENF (Base de Dados de Enfermagem), LILACS (Literatura Latino-Americana e do Caribe em Ciências da Saúde), MEDLINE (Medical Literature Analysis and Retrieval System Online), Portal CAPES (Portal de Periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), PubMed (U.S. National Library of Medicine National Institute of Health) e SciELO (Scientific Electronic Library Online). A pergunta utilizada para motivar o aprofundamento na temática da revisão foi: Quais estratégias de cuidado e apoio estão sendo oferecidas a cuidadores de pessoas com câncer no âmbito hospitalar e/ou ambulatorial? Utilizou-se a estratégia PICOT<sup>19</sup>para delimitar a revisão integrativa. Sendo a mesma um acrônimo, representando no presente estudo: P) População (cuidadores de pacientes com câncer); I) Intervenção (estratégias de cuidado e apoio oferecidas no âmbito hospitalar e/ou ambulatorial); C) Comparação (essas estratégias beneficiam?); T) Tempo (estudos publicados nos últimos cinco anos).
DOI: 10.3886/e166041
title: The Role of Civic Capital During the Covid-19 Pandemic

description: This repository contains data used in the paper "The Role of Civic Capital During the Covid-19 Pandemic".
DOI: 10.3886/e166041v1
title: The Role of Civic Capital During the Covid-19 Pandemic

description: This repository contains data used in the paper "The Role of Civic Capital During the Covid-19 Pandemic".
DOI: 10.6084/m9.figshare.19390622
title: Imputated genotyes of salmon

description: The files have been updated. Please check the latest version.
DOI: 10.5281/zenodo.6386435
title: Leucopternis kuhli SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6386434
title: Leucopternis kuhli SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.19425365
title: Monochromatic wave of fluid pressure in a porous rock

description: Velocity and quality factor of slow P-wave in Berea sandstone<br>
DOI: 10.6084/m9.figshare.19425365.v1
title: Monochromatic wave of fluid pressure in a porous rock

description: Velocity and quality factor of slow P-wave in Berea sandstone<br>
DOI: 10.5281/zenodo.6386439
title: Leucopternis melanops SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6386438
title: Leucopternis melanops SPAdes preassembly

description: .
DOI: 10.34740/kaggle/dsv/3362114
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/3362134
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.17143151
title: Bio3E.xlsx

description: This Excel spreadsheet model Bio3E is published as supplementary information to the article Should Residual Biomass be used for Fuels, Power and Heat, or Materials? Assessing Costs and Environmental Impacts for China in 2035.<br>Step 1: Download the latest version of the Bio3E.xlsx file. The file can be read using Excel.<br>Step 2: See the 'Index' sheet for an overview of sheets in the workbook and their function.<br>Step 3: Go to the 'Dashboard Current Scenario' sheet to select key parameters and see key plots for emissions and system costs<br>If you have any questions please contact Sara Shapiro-Bengtsensajos@dtu.dk
DOI: 10.6084/m9.figshare.19395545.v1
title: Zhang2022JGR_data

description: This zip file provides the raw seismic data of the teleseismic and local events for Zhang2022_JGR.
DOI: 10.6084/m9.figshare.19390652
title: AMBP case study

description: Please note that the sample_information file for GM analysis has been mistakenly uploaded. We have updated this file in the lastest version on FigShare. Please check the readme text for details.
DOI: 10.6084/m9.figshare.19390652.v1
title: AMBP case study

description: The case study of Aquaculture Molecular Breeding Platform (AMBP).<br>
DOI: 10.5281/zenodo.6386490
title: Lithophaga antillarum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6386489
title: Lithophaga antillarum SPAdes preassembly

description: .
DOI: 10.34740/kaggle/dsv/3362316
title: COVID Vaccination in World (updated daily)
DOI: 10.5519/qd.ksbukuir
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (758313 records)
DOI: 10.6084/m9.figshare.17304128.v2
title: MSEP

description: is the data source for the article "A multi-stage planning model for transitioning to low-carbon integrated electric power and natural gas systems".
DOI: 10.6084/m9.figshare.17304128
title: MSEP

description: is the data source for the article "A multi-stage planning model for transitioning to low-carbon integrated electric power and natural gas systems".
DOI: 10.6084/m9.figshare.17304128.v4
title: MSEP

description: is the data source for the article "A multi-stage planning model for transitioning to low-carbon integrated electric power and natural gas systems".
DOI: 10.6084/m9.figshare.17304128.v3
title: MSEP

description: is the data source for the article "A multi-stage planning model for transitioning to low-carbon integrated electric power and natural gas systems".
DOI: 10.5281/zenodo.6386552
title: CompBMus_FAIR

description: Making Byzantine Computational Musicology FAIR - a working example This is the repository for the <strong>Making Byzantine Computational Musicology FAIR - a working example</strong> project. We have submitted a short paper for this. In this repository, there is a folder with the dataset, the data package schemas in YAML file, as well as the python code (main.py) for describing and validating the data. Upon acceptance of the paper, the accepted draft will also be uploaded.
DOI: 10.5281/zenodo.6379372
title: CompBMus_FAIR

description: Making Byzantine Computational Musicology FAIR - a working example This is the repository for the <strong>Making Byzantine Computational Musicology FAIR - a working example</strong> project. We have submitted a short paper for this. In this repository, there is a folder with the dataset, the data package schemas in YAML file, as well as the python code (main.py) for describing and validating the data. Upon acceptance of the paper, the accepted draft will also be uploaded.
DOI: 10.6084/m9.figshare.19425503
title: Parametric sweep for 5 numbers of coils for different diameter and number of turns and fitness function behavior

description: This dataset presents the results of parametric sweep performed for fixed number of coils. The inner diameter and number of turns are varying. The data set also includes the fitness function behavior to decide the scaling parameters.
DOI: 10.6084/m9.figshare.19425503.v1
title: Parametric sweep for 5 numbers of coils for different diameter and number of turns and fitness function behavior

description: This dataset presents the results of parametric sweep performed for fixed number of coils. The inner diameter and number of turns are varying. The data set also includes the fitness function behavior to decide the scaling parameters.
DOI: 10.5281/zenodo.6386580
title: Ocean Color Data: Modis-aqua_chl-a (JJA, 2002-2018)

description: Ocean Color Data: Modis-aqua_chl-a (JJA, 2002-2018) downloaded from the ADAM Platform (https://reliance.adamplatform.eu/) used furing the FORCeS eScience course 'Tools in Climate Science: Linking Observations with Modelling'. MODIS Chlorophyll-a Concentration This algorithm returns the near-surface concentration of chlorophyll-a (chlor_a) in mg m-3, calculated using an empirical relationship derived from in situ measurements of chlor_a and remote sensing reflectances (Rrs) in the blue-to-green region of the visible spectrum. The implementation is contingent on the availability three or more sensor bands spanning the 440 - 670 nm spectral regime. The algorithm is applicable to all current ocean color sensors. The chlor_a product is included as part of the standard Level-2 OC product suite and the Level-3 CHL product suite. The current implementation for the default chlorophyll algorithm (chlor_a) employs the standard OC3/OC4 (OCx) band ratio algorithm merged with the color index (CI) of Hu et al. (2012). As described in that paper, this refinement is restricted to relatively clear water, and the general impact is to reduce artifacts and biases in clear-water chlorophyll retrievals due to residual glint, stray light, atmospheric correction errors, and white or spectrally-linear bias errors in Rrs. As implemented, the algorithm diverges slightly from what was published in Hu et al. (2012) in that the transition between CI and OCx now occurs at 0.15 &lt; CI &lt; 0.2 mg/m3 to ensure a smooth transition.
description: The computing resources used for this course have been kindly provided by Galaxy europe in the framework of the EOSC-Nordic and RELIANCE projects. The storage resources were provided by UNINETT Sigma2 - the Norwegian National Infrastructure for High Performance Computing and Data Storage in Norway as part of NS1000K project.
DOI: 10.5281/zenodo.6386579
title: Ocean Color Data: Modis-aqua_chl-a (JJA, 2002-2018)

description: Ocean Color Data: Modis-aqua_chl-a (JJA, 2002-2018) downloaded from the ADAM Platform (https://reliance.adamplatform.eu/) used furing the FORCeS eScience course 'Tools in Climate Science: Linking Observations with Modelling'. MODIS Chlorophyll-a Concentration This algorithm returns the near-surface concentration of chlorophyll-a (chlor_a) in mg m-3, calculated using an empirical relationship derived from in situ measurements of chlor_a and remote sensing reflectances (Rrs) in the blue-to-green region of the visible spectrum. The implementation is contingent on the availability three or more sensor bands spanning the 440 - 670 nm spectral regime. The algorithm is applicable to all current ocean color sensors. The chlor_a product is included as part of the standard Level-2 OC product suite and the Level-3 CHL product suite. The current implementation for the default chlorophyll algorithm (chlor_a) employs the standard OC3/OC4 (OCx) band ratio algorithm merged with the color index (CI) of Hu et al. (2012). As described in that paper, this refinement is restricted to relatively clear water, and the general impact is to reduce artifacts and biases in clear-water chlorophyll retrievals due to residual glint, stray light, atmospheric correction errors, and white or spectrally-linear bias errors in Rrs. As implemented, the algorithm diverges slightly from what was published in Hu et al. (2012) in that the transition between CI and OCx now occurs at 0.15 &lt; CI &lt; 0.2 mg/m3 to ensure a smooth transition.
description: The computing resources used for this course have been kindly provided by Galaxy europe in the framework of the EOSC-Nordic and RELIANCE projects. The storage resources were provided by UNINETT Sigma2 - the Norwegian National Infrastructure for High Performance Computing and Data Storage in Norway as part of NS1000K project.
DOI: 10.6084/m9.figshare.15050223.v1
title: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”. Stata dataset

description: This file contains the STATA dataset of the submitted article: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”.
DOI: 10.6084/m9.figshare.15050223
title: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”. Stata dataset

description: This file contains the STATA dataset of the submitted article: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”.
DOI: 10.6084/m9.figshare.15050223.v3
title: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”. Stata dataset

description: This file contains the STATA dataset of the submitted article: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”.
DOI: 10.6084/m9.figshare.15050223.v2
title: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”. Stata dataset

description: This file contains the STATA dataset of the submitted article: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”.
DOI: 10.6084/m9.figshare.15050220
title: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”. Stata Dofile

description: This file contains the STATA dofile of the submitted article: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”.
DOI: 10.6084/m9.figshare.15050220.v2
title: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”. Stata Dofile

description: This file contains the STATA dofile of the submitted article: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”.
DOI: 10.6084/m9.figshare.15050220.v1
title: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”. Stata Dofile

description: This file contains the STATA dofile of the submitted article: “Asymptomatic COVID-19 in the elderly: dementia and viral clearance as risk factors for disease progression”.
DOI: 10.5519/qd.g8thsbbh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1196 records)
DOI: 10.6084/m9.figshare.19425506
title: RELISH-Aspire

description: This is a copy of the RELISH dataset used in the paper "Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity" by Sheshera Mysore, Arman Cohan, Tom Hope. The RELISH dataset was first introduced in Brown et al. 2019. <br><br>See further details of the paper, how this dataset was compiled, and how it was used: https://github.com/allenai/aspire<br>The contents of the dataset are as follows: <br><code>abstracts-relish.jsonl</code>: <code>jsonl</code> file containing the paper-id, abstracts, and titles for the queries and candidates which are part of the dataset.<br> <code>relish-queries-release.csv</code>: Metadata associated with every query.<code>test-pid2anns-relish.json</code>: JSON file with the query paper-id, candidate paper-ids for every query paper in the dataset. Use these files in conjunction with <code>abstracts-relish.jsonl</code> to generate files for use in model evaluation. <br><code>relish-evaluation_splits.json</code>: Paper-ids for the splits to use in reporting evaluation numbers. <code>aspire/src/evaluation/ranking_eval.py</code> included in the github repo accompanying this dataset implements the evaluation protocol and computes evaluation metrics. Please see the paper for descriptions of the experimental protocol we recommend to report evaluation metrics.<br>
DOI: 10.25345/c5cf9j99t
title: MassIVE MSV000089132 - Proteomic analysis of endogenous and recombinant beta-actin from human Expi293 cells
title: Two samples of purified actin (endogenous and recombinant) from Expi293 cells were subjected to proteomic analysis after trypsin and chymotrypsin digests.