cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14131679.v1
title: Supporting Information for "Surface Transient Storage under Low-Flow Conditions in Streams with Rough Bathymetry"

description: The data and matlab code were used in the submission to Water Resources Research "Surface Transient Storage under Low-Flow Conditions in Streams with Rough Bathymetry".
DOI: 10.6073/pasta/54ef284fd7fec9c6e71c66233d5d5cf9
title: Time lapse camera photos for Green Lakes Valley, 2011 to ongoing, subdaily

description: Time lapse photography is a powerful tool to detect seasonal and interannual change in remote locations. In 2008, a time lapse camera was installed at Niwot Ridge, below D1, with a view overlooking Green Lake 4. The resulting photos give a view into the seasonal evolution of ice and snow cover over the Green Lakes Valley.
DOI: 10.7910/dvn/djh6fa
title: Data: Integration of Visual Landmarks in Spatial Memory

description: Contains raw data, processed data (spreadsheets), and MATLAB code for processing raw data.
DOI: 10.14457/cu.the.1987.141
title: การเปรียบเทียบผลสัมฤทธิ์ในการเรียนภาษาอังกฤษ ของนักเรียนชั้นประถมศึกษาปีที่ 6 ที่ได้รับการฝึกจากเพื่อนแบบรายบุคคลและแบบกลุ่ม
DOI: 10.14457/cu.the.1987.142
title: การพัฒนาตัวควบคุมแบบจูนปรับตัวเองโดยใช้ไมโครคอมพิวเตอร์
DOI: 10.14457/cu.the.1987.143
title: อนุกรมวิธานและปัจจัยทางนิเวศบางประการของปลวก ในจังหวัดจันทบุรี-ตราด

description: การศึกษาอนุกรมวิธานและนิเทศวิทยาของปลวกที่สวนยางพารา ป่าธรรมชาติในจังหวัดจันทบุรี และสวนผลไม้ จังหวัดตราด ระหว่างเดือนพฤศจิกายน 2527 ถึงเดือนมีนาคม 2529 การศึกษาครั้งนี้ครอบคลุมไปถึง ชนิด ถิ่นอาศัย ลักษณะรูปร่าง การดำรงชีวิต ความเป็นกรด-เบส และความชื้นของดินจากรังปลวก ตลอดจนสัตว์ที่อาศัยนอกรังในรัง และสิ่งมีชีวิตเซลเดียวในทางเดินอาหารของปลวกงาน พบปลวกทั้งหมด 3 วงศ์ 6 วงศ์ย่อย 13 สกุล 25 ชนิด วงศ์ Kalotermitidae พบ 1 ชนิด ได้แก่ Glyptotermes brevicaudatus วงศ์ Rhinotermitidae พบ 4 ชนิด ได้แก่ Coptotermes gestrol, C. curvignathus, Schedorhinotermes medioobscurus, S. rectangularis วงศ์ Termitidae พบ 20 ชนิด ได้แก่ Macroternes gilvus, M. carbonarius, M. malaccensis, M. anandalei, M. maesodensis, Odontotermes proformosanus, O. formosanus, O. feae, O. maesodensis, Hypotermes xenotermitis, H. obcuriceps, Microtermes pakistanicus, M. propallidus, Microcerotermes crasuss, Globitermes sulphureus, Hospitalitermes ataramensis, Nasutitermes matangesiformis, N. profuscipennis, Termes comis, Dicuspiditermes makhamesis ผลการศึกษาครั้งนี้ พบปลวกเพิ่มเติมใหม่ 2 ชนิด คือ H.obcuriceps, N. profuscipennis และพบว่ามีปลวกทั้งหมด 9 ชนิดที่สามารถเพาะเลี้ยงรังเห็ดรา โดยใน 9 ชนิดนั้นให้เห็ดโคนได้ สัตว์ที่อาศัยในรังปลวกส่วนใหญ่เป็นแมลงปีกแข็ง แมงป่องแส้ สำหรับสิ่งมีชีวิตเซลเดียวที่อาศัยในทางเดินอาหารส่วนท้ายพบว่ามี 7 ชนิด 4 สกุล
DOI: 10.14457/cu.the.1987.144
title: การใช้หลักสูตรวิชาภาษาฝรั่งเศส ระดับมัธยมศึกษาตอนปลาย พุทธศักราช 2524 ในโรงเรียนมัธยมศึกษา สังกัดกรมสามัญศึกษา กรุงเทพมหานคร
DOI: 10.14457/cu.the.1987.145
title: การวิเคราะห์งานเขียนร้อยแก้วภาษาไทยของนักเรียนชั้นมัธยมศึกษาปีที่ 5 เขตการศึกษา 9
DOI: 10.14457/cu.the.1987.146
title: การควบคุมการบริหารราชการแผ่นดิน : ศึกษาเฉพาะกรณี พ.ศ. 2526 - 2529
DOI: 10.14457/cu.the.1987.147
title: มหากาพย์เรื่องท้าวบาเจือง : การศึกษาเชิงวิเคราะห์
DOI: 10.14457/cu.the.1987.148
title: วิธีนอนพาราเมตริก สำหรับการประมาณค่าฟังก์ชั่นการอยู่รอดในปัญหา 2 ตัวอย่างที่มีค่าสังเกตไม่สมบูรณ์
DOI: 10.14457/cu.the.1987.149
title: การพัฒนาตัวตรวจสอบไวยากรณ์โปรแกรมภาษาโคบอล
DOI: 10.14457/cu.the.1987.150
title: การศึกษาสมรรถนะของเครื่องเก็บฝุ่นไซโคลน
DOI: 10.14457/cu.the.1987.151
title: ประสิทธิภาพการนิเทศของพยาบาลหัวหน้าตึก โรงพยาบาลศูนย์ กระทรวงสาธารณสุข ตามการประเมินตนเอง และตามการประเมินโดยผู้ใต้บังคับบัญชา
DOI: 10.6084/m9.figshare.14131751.v1
title: shanghai_quanguo.xlsx

description: geotagged Flickr photos
DOI: 10.6084/m9.figshare.14093303.v1
title: Perceptions_of_Animals_Close_Encounter_Images.csv

description: This study measured the effects that viewing such encounter images had on public perceptions of both the zoo and the animal they saw. Via online survey, one of sixteen images was randomly presented to two samples: one consisting of social media users and followers of zoos, and a representative sample of the Australian public. Each image featured one of four animals (Eclectus parrot, Kangaroo Island kangaroo, Monteith’s leaf insect, Centralian carpet python) and one of four Human Positions (human and animal touching, human and animal ~30cm apart, human and animal ~1m apart, animal alone). <br>The survey then asked for respondents' to rate their agreement level to four different statements: 1) The animal is cared for by the zoo2) The animal is displaying a natural behaviour3) The animal would make a good pet4) The animal is endangered in the wildLevel of agreement to these statements was measured through a 7 point Likert-type scale that ranged from 1 = Strongly disagree to 7 = Strongly agree, with the midpoint of 4= Neither agree nor disagree.<br>Respondents also provided demographic data (gender, age, level of education, residential location, zoo membership status, zoo visitation regularity and conservation organisation membership status). <br>All data is non-identifiable, and participants provided consent for their responses to be used for research and publication. Human ethics approval was provided by the University ethics team. Additionally, animal welfare was ensured throughout the photography process by zoo staff and following zoo protocol. <br>Key: Sample Source: 1- Social Media Users, 2- General Australian PopulationImage: 1- Parrot and Touch position, 2- Parrot and Human Close, 3- Parrot and Human Far, 4- Parrot Alone, 5- Kangaroo and Touch Position, 6- Kangaroo and Human Close, 7- Kangaroo and Human Far, 8- Kangaroo Alone, 9- Leaf Insect and Touch Position, 10- Leaf Insect and Human Close, 11- Leaf Insect and Human Far, 12- Leaf Insect Alone, 13- Snake and Touch Position, 14- Snake and Human Close, 15- Snake and Human Far, 16- Snake AloneTreatment: 1- Human Touching Animal, 2- Human and Animal ~30cm apart (Close), 3- Human and Animal ~1m apart (Far), 4- Animal Alone Animal: 1-Parrot, 2- Kangaroo, 3- Leaf Insect, 4- Snake<br>
DOI: 10.6084/m9.figshare.14093303
title: Perceptions_of_Animals_Close_Encounter_Images.csv

description: This study measured the effects that viewing such encounter images had on public perceptions of both the zoo and the animal they saw. Via online survey, one of sixteen images was randomly presented to two samples: one consisting of social media users and followers of zoos, and a representative sample of the Australian public. Each image featured one of four animals (Eclectus parrot, Kangaroo Island kangaroo, Monteith’s leaf insect, Centralian carpet python) and one of four Human Positions (human and animal touching, human and animal ~30cm apart, human and animal ~1m apart, animal alone). <br>The survey then asked for respondents' to rate their agreement level to four different statements: 1) The animal is cared for by the zoo2) The animal is displaying a natural behaviour3) The animal would make a good pet4) The animal is endangered in the wildLevel of agreement to these statements was measured through a 7 point Likert-type scale that ranged from 1 = Strongly disagree to 7 = Strongly agree, with the midpoint of 4= Neither agree nor disagree.<br>Respondents also provided demographic data (gender, age, level of education, residential location, zoo membership status, zoo visitation regularity and conservation organisation membership status). <br>All data is non-identifiable, and participants provided consent for their responses to be used for research and publication. Human ethics approval was provided by the University ethics team. Additionally, animal welfare was ensured throughout the photography process by zoo staff and following zoo protocol. <br>Key: Sample Source: 1- Social Media Users, 2- General Australian PopulationImage: 1- Parrot and Touch position, 2- Parrot and Human Close, 3- Parrot and Human Far, 4- Parrot Alone, 5- Kangaroo and Touch Position, 6- Kangaroo and Human Close, 7- Kangaroo and Human Far, 8- Kangaroo Alone, 9- Leaf Insect and Touch Position, 10- Leaf Insect and Human Close, 11- Leaf Insect and Human Far, 12- Leaf Insect Alone, 13- Snake and Touch Position, 14- Snake and Human Close, 15- Snake and Human Far, 16- Snake AloneTreatment: 1- Human Touching Animal, 2- Human and Animal ~30cm apart (Close), 3- Human and Animal ~1m apart (Far), 4- Animal Alone Animal: 1-Parrot, 2- Kangaroo, 3- Leaf Insect, 4- Snake<br>
DOI: 10.21227/phtw-kf64
title: IEEE 9 BUS

description: All files and simulations related to MODS and IEEE 9 Buse Models
DOI: 10.18112/openneuro.ds003416.v2.0.0
title: MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging
DOI: 10.6084/m9.figshare.13683658.v1
title: Onepoto2018_Tephra_Rotoma-Rotoehu.xltx

description: Excel spreadsheet containing glass analysis data for the 2018 Onepoto lake sediment core. The data contains results for the following tephra beds:<br>RotomaWaiohau<b></b>Rotorua<b></b>Rerewhakaaitu<b></b>Okareka<b></b>Kawakawa/Oruanui<b></b>OkaiaHauparuMaketuTahunaRotoehu<b></b>Eg4<b></b><br>
DOI: 10.6084/m9.figshare.13683658.v2
title: Onepoto2018_Tephra_Rotoma-Rotoehu.xltx

description: Excel spreadsheet containing glass analysis data for the 2018 Onepoto lake sediment core. The data contains results for the following tephra beds:<br>RotomaWaiohau<b></b>Rotorua<b></b>Rerewhakaaitu<b></b>Okareka<b></b>Kawakawa/Oruanui<b></b>OkaiaHauparuMaketuTahunaRotoehu<b></b>Eg4<b></b><br>
DOI: 10.18112/openneuro.ds003416.v2.0.1
title: MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging
DOI: 10.6084/m9.figshare.13683658.v3
title: Onepoto2018_Tephra_Rotoma-Eg4

description: Excel spreadsheet containing glass analysis data for the 2018 Onepoto lake sediment core. The data contains results for the following tephra beds:<br>RotomaWaiohau<b></b>Rotorua<b></b>Rerewhakaaitu<b></b>Okareka<b></b>Kawakawa/Oruanui<b></b>OkaiaHauparuMaketuTahunaRotoehu<b></b>Eg4<b></b><br>
DOI: 10.25345/c55r5j
title: MassIVE MSV000086965 - Molecular Profiling of Two HPV16+ OPSCC Brain Metastases
title: We report a detailed characterization of the HPV16 genome in two brain metastases from OPSCC tumors. The use of a target enrichment strategy followed by next generation sequencing (NGS) provided an effective way to identify viral infection in tumor genome, including internal deletions and insertion sites into the host genome. Applying similar strategies to a larger cohort of HPV+ HNSCC brain metastases could help to identify biomarkers that can predict metastasis and/or identify novel therapeutic options.
DOI: 10.15468/t59b5w
title: A checklist of Mistletoes of Nepal

description: This dataset lists 21 species of Mistletoes compiled from literature resources as indicated in the dataset. Mistletoes constitute a polyphyletic group of flowering parasitic plants and are commonly known as “Ainjeru” or “Lisso” in Nepali. Mistletoes are entirely dependent on their hosts for water and nutrients and affect their hosts mainly by competing for limited resources.
DOI: 10.6084/m9.figshare.14132507
title: data

description: This directory contains the MNIST dataset and its models.
DOI: 10.5281/zenodo.4569216
title: Dataset for manuscript "Scenario modelling of the sustainable development goals under uncertainty"

description: Files contains the results generated by the source code from 'https://github.com/enayatmoallemi/Scenario_Modelling'. Files 'SDG_experiments_sc250.tar.gz' to 'SDG_experiments_sc5000.tar.gz include sensitivity analysis experiments (for different sample sizes from 250 to 5000) . <br> Files 'SDG_SSP1-26_exploration_sc10000.tar.gz' to 'SDG_SSP5-85_exploration_sc10000.tar.gz' include exploratory analysis experiments of the five SSP-RCP combinations over time.
DOI: 10.5281/zenodo.4569215
title: Dataset for manuscript "Scenario modelling of the sustainable development goals under uncertainty"

description: Files contains the results generated by the source code from 'https://github.com/enayatmoallemi/Scenario_Modelling'. Files 'SDG_experiments_sc250.tar.gz' to 'SDG_experiments_sc5000.tar.gz include sensitivity analysis experiments (for different sample sizes from 250 to 5000) . <br> Files 'SDG_SSP1-26_exploration_sc10000.tar.gz' to 'SDG_SSP5-85_exploration_sc10000.tar.gz' include exploratory analysis experiments of the five SSP-RCP combinations over time.
DOI: 10.6084/m9.figshare.14132984
title: Data for COVID-19 study

description: Dataset and SEM model
DOI: 10.6084/m9.figshare.14132984.v1
title: Data for COVID-19 study

description: Dataset and SEM model
DOI: 10.21227/yv6c-4n53
title: first try

description: Sorry This is my first try.. I will be great next participate
DOI: 10.17632/rc29kr9st2.1
title: Supplementary tables and figures

description: Appendix A. MEDLINE Search strategy Appendix B. Funnel plot for skin cancers, and forest plot, risk of bias, funnel plot, and subgroup analyses for secondary outcomes Appendix C. Digestive, cutaneous, and biochemical adverse events retained for analyses
DOI: 10.17632/5g6grbktpk.1
title: Raw data for manuscript-20210227

description: Uncropped gels for western blotting in manuscript
DOI: 10.17632/4r5b572fw5.1
title: Dataset for Location of Primary Health Care Centers for Demand Coverage of Complementary Services

description: The dataset used in the case study of the paper "Location of Primary Health Care Centers for Demand Coverage of Complementary Services" is presented.
DOI: 10.17632/4zwmrfvgsb.1
title: Performance of graphene derivatives produced by chemical and physical methods as reinforcements in glass fiber composite laminates

description: The article "Performance of graphene derivatives produced by chemical and physical methods as reinforcements in glass fiber composite laminates" present several graphic of : DMA , IR , XRD, Raman AND Short Beam Shear test, the raw data for verify the results presented in the original article can be found here.
DOI: 10.17632/mf7sd8v97v.1
title: Data Does Supportive Supervisor

description: The data pertains to the study of the effect of supportive supervisor on the relationship between ethical leadership and employee engagement through organisational commitment in high power distance culture, i.e. Pakistan.
DOI: 10.17632/xcjgkwb2x4.1
title: Personal and Social Characteristics Related to LS University Students

description: Lifestyle characteristics (eating, alcohol drinking, physical activity, smoking, etc) of 416 college students in Medellín, Colombia.
DOI: 10.17632/9psw5g6b8k.1
title: Satellite data before and after COVID-19

description: This is the extracted datasets from three different satellite sensor's (e.g., Sentinel-5 Tropomi, VIRSS, and Landsat 8 OLI TIRS) of Jakarta Megacity before and during COVID-19 pandemic
DOI: 10.17632/hbgr7hnyrd.1
title: Southeast Asia Megacity

description: This is the result of classification of Southeast Asia Megacity using Google Earth Engine
DOI: 10.17632/btg2zs3747.1
title: LINF_210013000

description: 60S ribosomal protein L36; Leishmania infantum
DOI: 10.17632/y52vgnvyrv.2
title: Data on conventional behaviours of high school students in Vietnam

description: Data were gathered by non-random sampling and quota sampling. Four big cities/provinces were referred. The questionnaire collected participants information, their respondences about conventional behaviours and their factors affecting students’ deviant expressions. All the students’ respondences were entered, screened and any analyzed by using the IBM SPSS Statistics 20.
DOI: 10.17632/p74b4j8x29.1
title: LINF_350024100

description: 60S ribosomal protein L36; Leishmania infantum
DOI: 10.17632/jbjcgxscmh.1
title: LINF_330028300

description: 60S ribosomal protein L37; Leishmania infantum
DOI: 10.17632/65pcr3z9bz.1
title: LINF_350056500

description: Ribosomal protein L37e; Leishmania infantum
DOI: 10.17632/3xsv5mykk6.2
title: Original CT data for the paper "The changes of reaction surface during the methane hydrate dissociation and its implications for hydrate production"

description: The given is the original CT data for Sample #1 and Sample #2 which supports the findings in the paper "The changes of reaction surface during the methane hydrate dissociation and its implications for hydrate production".
DOI: 10.17632/gcfg7fcj7z.1
title: LINF_210028000

description: 60S ribosomal protein L37a; Leishmania infantum
DOI: 10.17632/45jfr77hhk.1
title: LINF_360025800

description: 60S ribosomal protein L37a; Leishmania infantum
DOI: 10.17632/5vvmdbtcd5.3
title: MDs dataset

description: The data described here are derived from insights into binding selectivity of inhibitors toward BRD4 and CBP by using MD simulations. The analyses were performed on six systems, including the F3J-BRD4/CBP, EX1-BRD4/CBP, and E2T-BRD4/CBP complexes. There are four folder: Eigenvalue, Porcupine, MSA, and Loop. The Eigenvalue folder includes the data of the eigenvalues against eigenvector indexes obtained from the diagonalization of the covariance matrix constructed by utilizing atomic coordinates saved at MD trajectories of six complexes. The Porcupine folder shows the first six eigenvectors, and the initialized structure of six complexes and k.txt file. The MSA folder includes the data of Molecular surface area (MSA) of six systems were calculated by the CPPTRAJ module in AMBER18. The Loop folder indicates the data of the distance between the Cα atoms of Leu92/Leu1120 in the ZA-loop of BRD4/CBP and that of Pro142/Lys1170 in the BC-loop of BRD4/CBP, representing the distance of the ZA-loop away from the BC-loop. These data are useful for understanding internal dynamics and conformations of BRD4 and CBP due to inhibitor bindings.
DOI: 10.17632/gmmf2cjxt6.1
title: LINF_260027600

description: ribosomal protein L38; Leishmania infantum
DOI: 10.17632/zjyswkwxtk.1
title: LINF_160017500

description: 60S ribosomal protein L39; Leishmania infantum
DOI: 10.17632/m7b3rc6jkd.1
title: LINF_290031400

description: 60S ribosomal protein L39; Leishmania infantum
DOI: 10.17632/4v7by62phg.1
title: LINF_090015200

description: 60S ribosomal protein L40; Leishmania infantum
DOI: 10.17632/gs2wt2jcp7.1
title: LINF_310026800

description: 60S ribosomal protein L40 | ubiquitin-fusion protein; Leishmania infantum
DOI: 10.17632/76rbvyhmn7.1
title: LINF_310028300

description: 60S ribosomal protein L40 | ubiquitin-fusion protein; Leishmania infantum
DOI: 10.17632/wcygm597xf.1
title: LINF_130022200

description: 60S ribosomal protein L44; Leishmania infantum
DOI: 10.17632/dkhzbsr8jy.1
title: LINF_330042500

description: 60S ribosomal protein L44; Leishmania infantum
DOI: 10.17632/myc6x7pv5d.1
title: LINF_270020500

description: 60S acidic ribosomal protein P0; Leishmania infantum
DOI: 10.17632/2gdtxcptdn.1
title: LINF_270020600

description: 60S acidic ribosomal protein P0; Leishmania infantum
DOI: 10.17632/c7fjbxcgj9.4
title: Endoscopy Artefact Detection (EAD) Dataset (includes updated 2020 version)

description: We aim to establish a first large and comprehensive dataset for "Endoscopy artefact detection". The released data is a part of Endoscopy Artefact Detection IEEE ISBI challenge. With the Endoscopy Artefact Detection Challenge (EAD), we aim to identify hindrances like saturations, motion blur, specular reflections, bubbles, imaging artefacts, contrast and instrument using revolutionary techniques in artificial intelligence. This dataset has been updated with additional class instance (blood) and annotation samples. The provided challenge is important for endoscopy video processing task in obtaining more sensible temporal information. The challenge is sub-divided into three tasks: 1) Multi-class artefact detection: Localization of bounding boxes and class labels for 8 artefact classes for given frames 2) Region segmentation: Precise boundary delineation of detected artefacts for 5 artefact classes 3) Detection generalization: Detection performance independent of specific data type and source (test only) Useful tools for this dataset: https://sharibox.github.io/EAD2019/; https://github.com/sharibox/EndoCV2020 Updated version 2020: We have added an updated dataset of EAD2019 (https://data.mendeley.com/datasets/c7fjbxcgj9/2). Please note that several frames have been included in this dataset. If you use this dataset then please cite the listed works below: 1) Ali, S., Zhou, F., Daul, C., Braden, B., Bailey, A., Realdon, S., East, J., Wagni`eres, G., Loschenov, V., Grisan, E., et al., 2019. Endoscopy artifact detection (EAD 2019) challenge dataset. arXiv preprint arXiv:1905.03209 . 2) Ali, S., Zhou, F., Bailey, A., Braden, B., East, J.E., Lu, X., Rittscher, J., 2021. A deep learning framework for quality assessment and restoration in video endoscopy. Medical Image Analysis 68, 101900. doi:https://doi.org/10.1016/j.media.2020.101900. 3) Ali, S., Zhou, F., Braden, B., Bailey, A., Yang, S., Cheng, G., Zhang, P., Li, X., Kayser, M., Soberanis-Mukul, R.D., et al., 2020. An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific reports 10, 1–15. 4) Ali, S., Dmitrieva, M., Ghatwary, N. et al. Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis, 2021. doi: https://doi.org/10.1016/j.media.2021.102002.
DOI: 10.17632/x2w2ctbzgz.1
title: Dosage balance

description: RNAseq raw counts for human and mouse
DOI: 10.17632/75phz33cc7.1
title: Dynamic Ticket Pricing of Airlines using Variant Batch Size Interpretable Multi-Variable Long Short-Term Memory

description: Dynamic Ticket Pricing of Airlines using Variant Batch Size Interpretable Multi-Variable Long Short-Term Memory. The proposed model can be used by the airlines to mitigate human judgement on ticket pricing, to manage their price offerings to reach their target revenues and to increase their profits by using observation data as overlapping windows structure.
DOI: 10.17632/jpwggmp9zy.3
title: SAFmaps - Soybean

description: Developed in the context of SAFmaps containing the georeferenced database and a case study report on SAF production based on the HEFA-SPK / soybean pathway. SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/cwxcjkz9rd.1
title: LINF_030009000

description: 60S acidic ribosomal protein P2 | P2c; Leishmania infantum