cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6376737
title: MR Gradient System Long-Term Stability Investigation and Protocol Optimization for Quality Control using Gradient Impulse Response Function (GIRF)

description: The dataset of the abstract "MR Gradient System Long-Term Stability Investigation and Protocol Optimization for Quality Control using Gradient Impulse Response Function (GIRF)" for ISMRM 2022, London, UK. The data processing code with instructions could be found here. Meas1.zip and Meas2.zip contain the first and the second measurements of the raw T2* decay signal acquired with the phantom-based method. Note that the coil dimension has been averaged to save data volume for demonstration purposes. This will lead to a lower SNR of the calculated output gradient and GIRF. CalculatedGIRF.zip provides the author's pre-calculated GIRFs using the data without coil averaging. This data is used for all the postprocessing (e.g. SNR and stability analysis, etc.) in the published abstract with the source code provided in the same Github repository.
description: {"references": ["Duyn, J. H., Yang, Y., Frank, J. a, & van der Veen, J. W. (1998). Simple Correction Method fork-Space Trajectory Deviations in MRI. Journal of Magnetic Resonance, 132(1), 150\u2013153. https://doi.org/10.1006/jmre.1998.1396", "Vannesjo, S. J., Haeberlin, M., Kasper, L., Pavan, M., Wilm, B. J., Barmet, C., & Pruessmann, K. P. (2013). Gradient system characterization by impulse response measurements with a dynamic field camera. Magnetic Resonance in Medicine, 69(2), 583\u2013593. https://doi.org/10.1002/mrm.24263", "Graedel, N. N., Hurley, S. A., Clare, S., Miller, K., Pruessmann, K. P., & Vannesjo, S. J. (2017). Comparison of gradient impulse response functions measured with a dynamic field camera and a phantombased technique. ESMRMB 2017, 34th Annual Scientific Meeting, Barcelona, ES, October 19\u2013October 21: Abstracts, Saturday, 30(S1), 343\u2013499. https://doi.org/10.1007/s10334-017-0634-z", "Vannesjo, S. J., Graedel, N. N., Kasper, L., Gross, S., Busch, J., Haeberlin, M., Barmet, C., & Pruessmann, K. P. (2016). Image reconstruction using a gradient impulse response model for trajectory prediction. Magnetic Resonance in Medicine, 76(1), 45\u201358. https://doi.org/10.1002/mrm.25841", "Stich, M., Wech, T., Slawig, A., Ringler, R., Dewdney, A., Greiser, A., Ruyters, G., Bley, T. A., & K\u00f6stler, H. (2018). Gradient waveform pre-emphasis based on the gradient system transfer function. Magnetic Resonance in Medicine, 80(4), 1521\u20131532. https://doi.org/10.1002/mrm.27147", "Robison, R. K., Li, Z., Wang, D., Ooi, M. B., & Pipe, J. G. (2019). Correction of B0 eddy current effects in spiral MRI. Magnetic Resonance in Medicine, 81(4), 2501\u20132513. https://doi.org/10.1002/mrm.27583"]}
DOI: 10.5281/zenodo.6376736
title: MR Gradient System Long-Term Stability Investigation and Protocol Optimization for Quality Control using Gradient Impulse Response Function (GIRF)

description: The dataset of the abstract "MR Gradient System Long-Term Stability Investigation and Protocol Optimization for Quality Control using Gradient Impulse Response Function (GIRF)" for ISMRM 2022, London, UK. The data processing code with instructions could be found here. Meas1.zip and Meas2.zip contain the first and the second measurements of the raw T2* decay signal acquired with the phantom-based method. Note that the coil dimension has been averaged to save data volume for demonstration purposes. This will lead to a lower SNR of the calculated output gradient and GIRF. CalculatedGIRF.zip provides the author's pre-calculated GIRFs using the data without coil averaging. This data is used for all the postprocessing (e.g. SNR and stability analysis, etc.) in the published abstract with the source code provided in the same Github repository.
description: {"references": ["Duyn, J. H., Yang, Y., Frank, J. a, & van der Veen, J. W. (1998). Simple Correction Method fork-Space Trajectory Deviations in MRI. Journal of Magnetic Resonance, 132(1), 150\u2013153. https://doi.org/10.1006/jmre.1998.1396", "Vannesjo, S. J., Haeberlin, M., Kasper, L., Pavan, M., Wilm, B. J., Barmet, C., & Pruessmann, K. P. (2013). Gradient system characterization by impulse response measurements with a dynamic field camera. Magnetic Resonance in Medicine, 69(2), 583\u2013593. https://doi.org/10.1002/mrm.24263", "Graedel, N. N., Hurley, S. A., Clare, S., Miller, K., Pruessmann, K. P., & Vannesjo, S. J. (2017). Comparison of gradient impulse response functions measured with a dynamic field camera and a phantombased technique. ESMRMB 2017, 34th Annual Scientific Meeting, Barcelona, ES, October 19\u2013October 21: Abstracts, Saturday, 30(S1), 343\u2013499. https://doi.org/10.1007/s10334-017-0634-z", "Vannesjo, S. J., Graedel, N. N., Kasper, L., Gross, S., Busch, J., Haeberlin, M., Barmet, C., & Pruessmann, K. P. (2016). Image reconstruction using a gradient impulse response model for trajectory prediction. Magnetic Resonance in Medicine, 76(1), 45\u201358. https://doi.org/10.1002/mrm.25841", "Stich, M., Wech, T., Slawig, A., Ringler, R., Dewdney, A., Greiser, A., Ruyters, G., Bley, T. A., & K\u00f6stler, H. (2018). Gradient waveform pre-emphasis based on the gradient system transfer function. Magnetic Resonance in Medicine, 80(4), 1521\u20131532. https://doi.org/10.1002/mrm.27147", "Robison, R. K., Li, Z., Wang, D., Ooi, M. B., & Pipe, J. G. (2019). Correction of B0 eddy current effects in spiral MRI. Magnetic Resonance in Medicine, 81(4), 2501\u20132513. https://doi.org/10.1002/mrm.27583"]}
DOI: 10.5281/zenodo.6503174
title: The Role of Undercoordinated Sites on Zinc Electrodes for CO2 Reduction to CO (Data Set)

description: The dataset for the manuscript.
DOI: 10.5281/zenodo.6503173
title: The Role of Undercoordinated Sites on Zinc Electrodes for CO2 Reduction to CO (Data Set)

description: The dataset for the manuscript.
DOI: 10.14457/tu.the.2020.1253
title: Development of solution containing plant extracts for relief of pharyngeal inflammation using mucous-penetrating system

description: Pharyngitis, well known as sore throat, is the inflammation of pharyngeal tissue which causes swelling and reddening of the tissue. Plant-derived bioactive compounds have been extensively used as herbal recipes in traditional medicine especially in Ayurvedic traditional medicine, Chinese traditional medicine, and Thai traditional medicine. Among 5 herbal plants used for screening the potential extract, the Indian gooseberry extract (IG) and the sappanwood extract (SH) expressed a relatively high antioxidant activity (AOA) and total phenolic content (TPC). The optimization of solvent and method for extracting both herbal plants was accomplished. Therefore, utilizing ethanol in Soxhlet extraction for the extraction of IG and SH gave the greatest condition for obtaining effective compounds. It was then mixed at various mass ratios to prepare the herbal recipes for determining AOA and anti-inflammatory activity (AIA). To the best of the researcher’s knowledge, synergism in AOA (IC50 = 2.97 µg/mL) and AIA (IC50 = 16.38 µg/mL) of the extracts were noticed for the first time in the herbal recipe namely F2. It was selected as an effective herbal recipe (HR) for encapsulating with the niosome nanovesicles. However, the physicochemical stability of HR was investigated under various conditions of pH, ionic strength, and temperature. It was found that HR could be degraded by heat-induced oxidation under an alkaline condition. Nevertheless, it had become more stable when dissolved in an acidic solution containing sodium chloride. Hence, the phosphate-buffered saline pH 5.8 was chosen to be an aqueous phase used for the preparation of HR-loaded niosome. Improving the bioavailability of HR for applying as a solution for the relief of pharyngitis had been achieved by encapsulating in niosome nanovesicles with the incorporation of poloxamer 407 (P407) as a mucous-penetrating agent. The niosome suspensions were successfully prepared using an ethanol injection method. The encapsulation efficiency and the particle size were determined to be ranged from 2.07 - 9.11 % and 27.97 - 359.03 nm, respectively. In vitro release using mucin as a mucus model and the mathematical modeling revealed that the release mechanism of niosome suspension prepared without P407 relied on the diffusion of HR. Meanwhile, the incorporation of P407 resulted in a release mechanism of non-Fickian transport might cause by the presence of the mucous-penetrating agent. Here the researcher has shown that the obtained niosome suspensions are the promising solution for validating the effectiveness against pharyngitis in the future.
DOI: 10.14457/tu.the.2019.1650
title: ปัญหาสัญญาอัจฉริยะบนระบบบล็อกเชน: ศึกษากรณีการคุ้มครองผู้บริโภคในสัญญาอัจฉริยะบนระบบบล็อกเชน

description: ในปัจจุบันเทคโนโลยีมีบทบาทในชีวิตประจำวันของมนุษย์อย่างมาก รวมถึงในการทำงาน การติดต่อสื่อสาร และการทำกิจกรรมพักผ่อนหย่อนใจ เทคโนโลยีบล็อกเชน (Blockchain) เป็นเทคโนโลยีหนึ่งที่มีความสำคัญและแพร่หลายมาก ในระยะแรกเทคโนโลยีบล็อกเชนถูกนำมาใช้เพียงเพื่อการโอนสกุลเงินดิจิทัล (Cryptocurrency ) แต่ต่อมาได้รับการประยุกต์ใช้ในการทำสัญญาอัจฉริยะ (Smart Contract) อีกด้วย ซึ่งปรากฏให้เห็นอยู่มากมาย เช่น การขายสินค้าออนไลน์ การเสนอขายโทเคนดิจิทัล (Initial Coin Offering หรือ ICO) หรือการขายประกันออนไลน์ เป็นต้นแม้ระบบบล็อกเชนที่ใช้ในการทำสัญญาอัจฉริยะสามารถประมวลผลได้อย่างเป็นเลิศกว่าสมองของมนุษย์หลายเท่า แต่ระบบก็อาจเกิดความไม่เสถียรหรือความผิดพลาดและนำมาซึ่งความสูญเสียอย่างมาก นอกจากนี้การใช้ระบบบล็อกเชนก็อาจก่อให้เกิดการละเมิดข้อมูลส่วนบุคคลอีกด้วย วิทยานิพนธ์นี้จึงมุ่งศึกษาปัญหาที่เกิดกับผู้บริโภคและแนวทางในการคุ้มครองผู้บริโภคจากความผิดพลาดและการละเมิดข้อมูลส่วนบุคคลในการทำสัญญาอัจฉริยะบนระบบบล็อกเชน โดยศึกษากฎหมายไทยเปรียบเทียบกับกฎหมายของประเทศสหราชอาณาจักรและสิงคโปร์และออสเตรเลีย และนำเสนอแนวทางในการแก้ไขปัญหาดังกล่าวข้างต้นจากการศึกษาพบว่าในประเด็นเรื่องเสถียรภาพของระบบบล็อกเชนนั้น มีปรากฏการณ์ที่เรียกว่า “51% Attack” ซึ่งเป็นภัยแก่ผู้เข้าทำสัญญาอัจฉริยะบนระบบบล็อกเชน ส่วนในประเด็นการคุ้มครองข้อมูลส่วนบุคคลนั้น กฎหมายว่าด้วยการคุ้มครองข้อมูลส่วนบุคคลของไทย (พระราชบัญญัติคุ้มครองข้อมูลส่วนบุคคล พ.ศ. 2562) ซึ่งเพิ่งตราขึ้นตามแนวทางของ General Data Protection Regulation 2016 (GDPR) ของสหภาพยุโรปยังให้ความคุ้มครองไม่เพียงพอแก่ผู้บริโภคซึ่งทำสัญญาอัจฉริยะบนระบบบล็อกเชน กล่าวคือ กฎหมายไทยยังไม่คุ้มครองข้อมูลส่วนบุคคลในบริบทของการกรอกข้อมูลอัตโนมัติในขณะที่ GDPR ให้ความคุ้มครองเพียงพอ นอกจากนี้ ทั้ง GDPR และกฎหมายว่าด้วยการคุ้มครองข้อมูลส่วนบุคคลของไทยมิได้คุ้มครองข้อมูลทางเทคนิคที่ไม่ระบุตัวตนแต่สามารถบ่งชี้ถึงตัวบุคคลได้วิทยานิพนธ์นี้มีข้อเสนอแนะดังนี้ ในประเด็นปัญหาเกี่ยวกับเสถียรภาพของระบบบล็อกเชนและความผิดพลาดที่เกิดจากระบบบล็อกเชนนั้น แม้กฎหมายว่าด้วยการคุ้มครองผู้บริโภคและหลักกฎหมายเกี่ยวกับความรับผิดในทางอาญาทั่วไปจะสามารถให้ความคุ้มครองผู้บริโภคได้ในระดับหนึ่ง แต่ก็อาจใช้แนวทางด้านเทคโนโลยีแก้ไขปัญหาได้อีกโสดหนึ่งด้วย กล่าวคือ แนวทางการแปลงกฎหมายให้อยู่ในลักษณะของโค้ดคอมพิวเตอร์ ซึ่งเป็นแนวทางที่ปรากฏในหลายประเทศในปัจจุบัน ตามแนวทางดังกล่าวกฎหมายปกติธรรมดาจะถูกแปลงรูปไปสู่กฎหมายดิจิทัลที่สามารถบังคับใช้ได้ทันทีในกรณีที่มีข้อพิพาท ทั้งนี้ ระบบคอมพิวเตอร์จะปรับใช้กฎหมายได้โดยอัตโนมัติและปราศจากการแทรกแซงของมนุษย์ แนวทางนี้ยังช่วยลดภาระงานของผู้ตัดสินคดีได้อีกด้วยเนื่องจากระบบคอมพิวเตอร์ทำงานได้ตลอด 24 ชั่วโมงต่อวัน ส่วนในประเด็นการคุ้มครองข้อมูลส่วนบุคคลนั้น วิทยานิพนธ์นี้เสนอให้ปรับปรุงแก้ไขกฎหมายว่าด้วยการคุ้มครองข้อมูลส่วนบุคคลของไทย โดยขยายความคุ้มครองไปถึงข้อมูลส่วนบุคคลในบริบทของการกรอกข้อมูลอัตโนมัติและข้อมูลทางเทคนิคที่ไม่ระบุตัวตนแต่สามารถบ่งชี้ถึงตัวบุคคลได้อีกด้วย เพื่อให้ความคุ้มครองแก่ผู้บริโภคที่ทำสัญญาอัจฉริยะบนระบบบล็อกเชน
DOI: 10.14457/tu.the.2020.1255
title: The evaluation of impacts of palm oil based biodiesel policies in transport sector of Thailand using computable general equilibrium modeling

description: The increasing energy demand and the saturated transport nexus have prompted the emergence of alternative transport fuels. In Thailand, on-road transportation accounts for 60% of total diesel use. Palm oil-based biodiesel is continually promoted as the partial substitute for diesel fuel in the transportation sector. In the meantime, the Thai government has implemented the mandatory use of B10 as a standard diesel mix and the use of B20 in heavy trucks as an alternative diesel mix. Additionally, the new State Oil Fund Act enacted in 2019 has announced to phase out the price subsidies for biofuels by 2022. Given the potential of palm oil-based biodiesel and the compatibility of vehicles that can take up higher biodiesel blends, it is increasingly necessary to strategize to promote higher biodiesel blended diesel mixes. Phasing out the subsidies on diesel mixes may lead to a widespread impact on the economy. Similarly, the production efficiency of feedstock would be one of the robust instruments to promote higher biodiesel blended diesel mixes and have a significant impact on the economy. The purpose of this study is to evaluate the economy-wide and environmental impacts of a shift in the share of consumption from B10 to B20 diesel mix in Thailand along with the implications of subsidy removal on diesel mixes and the production efficiency enhancement of oil palm using static computable general equilibrium (CGE) model. Simulation scenarios are set up featuring all these interdependent policies. The results show that a higher level of shift in consumption share offers improved aids to the economy, society, and environment. Subsidy removal could remove financial burdens and reduce CO2 emissions but ends with negative socio-economic impacts. However, phasing out the price subsidies on diesel mixes will exhibit positive impacts on several macroeconomic indicators during the shift. Besides, the results reveal that increasing the production efficiency by only 5% of oil palm enhances economic growth. Moreover, production efficiency improvement during shift rests as a crucial instrument in promoting higher biodiesel blended diesel mixes, socio-economic benefits, reduced carbon dioxide emissions and lucrative transportation services. However, policy to phase out the subsidies on diesel mixes unveil higher environmental benefits along with the reduction in the budgetary burdens for government than production efficiency enhancement of oil palm policy when shifting towards higher biodiesel blends.
DOI: 10.6084/m9.figshare.16419627.v1
title: data.zip

description: 该文件包含论文中的所有数据
DOI: 10.6084/m9.figshare.16419627
title: data.zip

description: This file contains all the data in the manuscript
DOI: 10.6084/m9.figshare.16419627.v3
title: data.zip

description: This file contains all the data in the manuscript
DOI: 10.6084/m9.figshare.16419627.v2
title: data.zip

description: This file contains all the data in the manuscript
DOI: 10.6084/m9.figshare.16653076.v6
title: data_source_codes

description: See README
DOI: 10.6084/m9.figshare.16653079.v4
title: variable_category_codes

description: See README
DOI: 10.6084/m9.figshare.16653064.v3
title: watershed_summaries

description: See README
DOI: 10.6084/m9.figshare.16653067.v3
title: timeseries column descriptions

description: See README
DOI: 10.6084/m9.figshare.16653070.v2
title: watershed_summary column descriptions

description: See README
DOI: 10.6084/m9.figshare.16653073.v2
title: watershed_trait_timeseries column descriptions

description: See README
DOI: 10.6084/m9.figshare.16653076.v7
title: data_source_codes

description: See README
DOI: 10.6084/m9.figshare.16653079.v5
title: variable_category_codes

description: See README
DOI: 10.34740/kaggle/dsv/3458562
title: CXR DATA for Multiclass classification
DOI: 10.5281/zenodo.6503337
title: Destructive potential of planetary meteotsunami waves: ATAL ocean model results

description: Based on the well-documented Hunga Tonga–Hunga Ha'apai volcano explosive eruption on 15 January 2022, we developed the "Atmospheric Tsunami Associated with Lamb waves" or ATAL ocean model and performed 12 realistic and process oriented numerical simulations to assess the sea-level hazards posed by planetary meteotsunami waves. Here, we provide the ATAL model results of maximum sea-levels during day 1 and day 2 after the eruption for: - the baseline simulation: trying to reproduce the event as realistically as possible - the 10 resonance simulations (_r_): trying to derive the speed of the Lamb waves which will generate the maximum resonance (i.e., Proudman resonance) in the ocean basins by dividing the baseline speed by r = 1.25, 1.40, 1.50, 1.60, 1.65, 1.75, 2.00, 3.00, 4.00, 5.00. The full Proudman resonance was obtained for r = 1.50 - the amplification simulation (_amp_): trying to match the Proudman resonance amplification by multiplying by 10 the Lamb waves amplitudes
DOI: 10.6084/m9.figshare.19679877.v1
title: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China

description: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China
DOI: 10.6084/m9.figshare.19679877
title: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China

description: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China
DOI: 10.6084/m9.figshare.19679877.v3
title: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China

description: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China
DOI: 10.6084/m9.figshare.19679877.v2
title: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China

description: A Panel Data of the number of applicants and passers at 2008-2019 Social Workers’ Professional Level Examinations in China
DOI: 10.34740/kaggle/dsv/3547330
title: BBC News
DOI: 10.48370/ofd/is7chj/hurgpq
title: MRIPAS_coll_74934_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/is7chj/6ag1e9
title: MRIPAS_coll_74934_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/is7chj
title: Neomys anomalus - 74934, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-20, in: Białowieża National Park, Poland. Material type: body
DOI: 10.48370/ofd/4wotbl/1h8ja0
title: MRIPAS_coll_74929_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/4wotbl/wg3e0z
title: MRIPAS_coll_74929_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/4wotbl
title: Neomys anomalus - 74929, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-20, in: Białowieża National Park, Poland. Material type: body
DOI: 10.21335/nmdc-1175579976
title: Vessel mounted Acoustic Doppler Current Profiler data collected in the Barents Sea and adjacent Arctic Ocean by the Norwegian research icebreaker R/V Kronprins Haakon, during 7 individual surveys conducted for the Nansen Legacy project.

description: Post-processed vessel mounted 150kHz Acoustic Doppler Current Profile (VM-ADCP) data, collected during 7 individual surveys in the Barents Sea and Arctic Ocean, conducted as part of the Nansen Legacy project. The VM-ADCP data were processed with the CODAS processing software package (Hummon, 2016), using 5 min temporal bins and 5 m depth bins Key variables are Velocity East, Velocity North and Velocity Up. The dates and locations of each individual cruise are as follows: Joint cruise 1-2/2018707; 2018-08-06 to 2018-08-23; Northwestern Barents Sea, Nansen Basin. Q3-2019706; 2019-08-05 to 2019-08-27; Northwestern Barents Sea, Nansen Basin. Q3-2019711; 2019-11-28 to 2019-12-17; Northwestern Barents Sea. Q1-2021703; 2021-04-02-2021-04-24; Northwestern Barents Sea. Q2-2021704, 2021-04-27 to 2021-05-20; Northwestern Barents Sea. Joint cruise 2-1-2021708; 2018-08-06 to 2018-08-23; Northwestern Barents Sea. Joint cruise 2-2-2021710; 2021-08-21 to 2021-09-21; Northwestern Barents Sea, Nansen Basin, Gakkel Ridge, Amundsen Basin.
DOI: 10.48370/ofd/5x3wzo/gacrhl
title: MRIPAS_coll_74578_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/5x3wzo/bepbot
title: MRIPAS_coll_74578_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/5x3wzo
title: Neomys anomalus - 74578, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-18, in: Białowieża National Park, Poland. Material type: body
DOI: 10.48370/ofd/gpw4si/ohioas
title: MRIPAS_coll_74577_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/gpw4si/jnluwc
title: MRIPAS_coll_74577_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/gpw4si
title: Neomys anomalus - 74577, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-18, in: Białowieża National Park, Poland. Material type: body
DOI: 10.48370/ofd/leb0es/zygy1c
title: MRIPAS_coll_74573_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/leb0es/erwbht
title: MRIPAS_coll_74573_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/leb0es
title: Neomys anomalus - 74573, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-18, in: Białowieża National Park, Poland. Material type: body
DOI: 10.48370/ofd/qw6iyp/c7h2vs
title: MRIPAS_coll_74552_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/qw6iyp/uwlkv5
title: MRIPAS_coll_74552_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/qw6iyp
title: Neomys anomalus - 74552, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-17, in: Białowieża National Park, Poland. Material type: body
DOI: 10.48370/ofd/poxuyt/jyksnr
title: MRIPAS_coll_74551_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/poxuyt/alwpjf
title: MRIPAS_coll_74551_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/poxuyt
title: Neomys anomalus - 74551, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-17, in: Białowieża National Park, Poland. Material type: body
DOI: 10.48370/ofd/a98q76/yxqgin
title: mripas_coll_75272_neomysanomalus_1968_m_body_3D.stl

description: 3D
DOI: 10.48370/ofd/a98q76/thpfni
title: MRIPAS_coll_75272_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/a98q76/vwsr7q
title: MRIPAS_coll_75272_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/a98q76
title: Neomys anomalus - 75272, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-24, in: Białowieża National Park, Poland. Material type: body
DOI: 10.48370/ofd/ym3h8o/zlkuy8
title: MRIPAS_coll_74512_NeomysAnomalus_1968_scan.jpg

description: :unav
DOI: 10.48370/ofd/ym3h8o/byadcl
title: MRIPAS_coll_74512_NeomysAnomalus_1968_M_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/ym3h8o
title: Neomys anomalus - 74512, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1968-06-14, in: Białowieża National Park, Poland. Material type: body