cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2021.41
title: ประสิทธิภาพของผลิตภัณฑ์ชีวภาพจากแบคทีเรียสายพันธุ์ผสมในการย่อยสลายสารเคมีตกค้างและควบคุมโรครากเน่าและโคนเน่าผักสลัดกรีนโอ๊ค

description: งานวิจัยนี้มีวัตถุประสงค์เพื่อพัฒนาชีวภัณฑ์เชื้อผสมสายพันธุ์ SP-TU 2-12Y, SP-TU-C และ SP-TU-15-2 ที่มีคุณสมบัติในการย่อยสลายสารเคมีตกค้างในกลุ่มคาร์บาเมต, ไพรีทรอยด์ และออร์กาโนฟอสเฟต ตามลำดับ เพื่อย่อยสลายสารเคมีตกค้างในดินทางการเกษตรและควบคุมโรครากเน่าผักสลัดที่เกิดจากเชื้อรา Sclerotium rolfsii ในการศึกษาอัตราส่วนที่เหมาะสมต่อการเลี้ยงเชื้อผสมหลายสายพันธุ์ โดยนำเอาสารปฏิชีวนะ Azithromycin dehydrate และ Amoxicillin เป็นเครื่องหมายติดตามแบคทีเรียที่มีประโยชน์แต่ละชนิด เมื่อนำแบคทีเรียมาเลี้ยงร่วมกันทำให้ได้อัตราส่วนที่เหมาะสมต่อการเลี้ยงเชื้อผสม SP-TU-2-12Y : SP-TU-C : SP-TU-15-2 อัตราส่วนที่เหมาะสม คือ 1 : 1 : 3 มิลลิลิตร ต่ออาหาร NB 100 มิลลิลิตรเมื่อนำผักสลัดที่พบสเคลอโรเทียมมาแยกเชื้อสาเหตุโรครากและโคนเน่าของกรีนโอ๊คจำนวน 15 ตัวอย่าง สามารถแยกเชื้อราที่มีแนวโน้มเป็นเชื้อรา S. rolfsii จำนวน 27 ไอโซเลท โดย พบว่า ไอโซเลท PYP-TU04 มีลักษณะโคโลนี (colony) เส้นใยมีสีขาวและฟูมากในระยะแรก และเจริญเต็มจานเลี้ยงเชื้อหลังวางเชื้อเป็นเวลา 3 วัน โดยประสิทธิภาพในการยับยั้งการเจริญของเส้นใยเชื้อรา พบว่าแบคทีเรียสายพันธุ์ SP-TU 2-12Y และ SP-TU-15-2 มีเปอร์เซ็นต์การยับยั้งดีที่สุดเท่ากับ 19.21 และ 22.39 เปอร์เซ็นต์ ตามลำดับ เมื่อเทียบกับกรรมวิธีควบคุมชีวภัณฑ์แบคทีเรียที่มีประโยชน์สายพันธุ์ SP-TU 2-12Y, SP-TU-C และ SP-TU-15-2 ที่เก็บรักษาที่อุณหภูมิ 4 และ 25 องศาเซลเซียส เป็นเวลานาน 6 เดือน มีความสามารถในการย่อยสลายสารเคมี หรือเจริญบนหน้าอาหารพิษได้ดีกว่ากรรมวิธีควบคุม ซึ่งชีวภัณฑ์ผสมที่เก็บรักษาที่อุณหภูมิ 25 องศาเซลเซียส แบคทีเรียสามารถเจริญบนอาหารพิษที่ผสมสารเคมีคาร์โบซัลแฟนได้ดีที่สุดในระดับห้องปฏิบัติการ ในขณะที่การย่อยสลายสารเคมีในดินจำลองที่ปนเปื้อนสารเคมีคาร์โบซัลแฟน, ไซเพอร์เมทริน และคลอร์ไพรีฟอส ชีวภัณฑ์สายพันธุ์ SP-TU 2-12Y (เก็บรักษาที่อุณหภูมิ 25 องศาเซลเซียส), ชีวภัณฑ์สายพันธุ์ SP-TU-C (เก็บรักษาที่อุณหภูมิ 4 องศาเซลเซียส) และเชื้อสดสายพันธุ์ SP-TU-15-2 มีประสิทธิภาพในการย่อยสลายสารเคมีเท่ากับ 64.21, 75 และ 43.93 เปอร์เซ็นต์ ตามลำดับ ชีวภัณฑ์ผสมที่เก็บรักษาที่อุณหภูมิ 4 และ 25 องศาเซลเซียส มีประสิทธิภาพในการยับยั้งการเจริญของเชื้อรา S. rolfsii ได้ โดยมีเปอร์เซ็นต์การยับยั้งเท่ากับ 24.35 และ 22.3 เปอร์เซ็นต์ ตามลำดับ เมื่อทดสอบระดับห้องปฏิบัติการ ขณะที่ประสิทธิภาพของชีวภัณฑ์ในการยับยั้งเชื้อรา S. rolfsii สาเหตุโรครากเน่าโคนเน่าของกรีนโอ๊คในดินจำลองที่ปนเปื้อนสารเคมีคาร์โบซัลแฟน, ไซเพอร์เมทริน และคลอร์ไพรีฟอส พบว่ากรรมวิธีที่ใช้ชีวภัณฑ์แบคทีเรียเดี่ยว, ชีวภัณฑ์ผสมหลายสายพันธุ์ และเชื้อสด มีประสิทธิภาพทำให้อัตราการเกิดโรคต่ำกว่ากรรมวิธีควบคุม โดยดัชนีการเกิดโรคของพืชเท่ากับ 20 เปอร์เซ็นต์ การส่งเสริมการเจริญเติบโตของกรีนโอ๊คในดินจำลองที่ปนเปื้อนสารเคมีคาร์โบซัลแฟน ทุกกรรมวิธีสามารถส่งเสริมให้ความสูงต้นดีกว่ากรรมวิธีควบคุม เช่นเดียวกับพืชที่ปลูกในดินจำลองที่ปนเปื้อนสารเคมีกลุ่มคลอร์ไพรีฟอส ทุกกรรมวิธีส่งเสริมให้ความสูงต้นและน้ำหนักสดส่วนเหนือดินดีกว่ากรรมวิธีควบคุม ในส่วนของพืชที่ปลูกในดินจำลองที่ปนเปื้อนสารเคมีกลุ่มไซเพอร์เมทริน ทุกกรรมวิธีไม่มีความแตกต่างกันทางสถิติ (P&lt;0.05) ในด้านดัชนีการเจริญเติบโตพืช
DOI: 10.14457/tu.the.2020.996
title: Indonesia’s two-level game at the WTO: a political economy approach to the international poultry trade

description: This thesis scrutinizes the trade dispute between Indonesia and Brazil over the importation of chicken – which was adjudicated by the WTO, favoring Brazil at the expense of Indonesia – through a political economy lens. The economic philosophy of self-sufficiency, which prioritizes domestic production at the expense of foreign interest, has colored the dynamics of protectionism and Indonesia’s political economy as manifested in various legal instruments, thereby accentuating regulatory protectionism. This thesis thus addresses a research question, which inquires the role and the extent of domestic actors in exerting influence on the Indonesian government’s decision-making process. While international trade dispute literature has an overemphasis on state-centric analysis, this thesis adopts the two-level game theory to analyze the nexus between international and domestic pressures. It problematizes the negotiation process as a win-set in which the government’s hand is tied with two-directional forces. Combining economic nationalism into the theoretical framework, this thesis argues that the domestic actors’ role at the grass-root level has integral structural ascendancy in dictating the state’s behavior in the global trade regime. Moreover, the framework of nationalism goes beyond neoliberal globalism and the Marxist tradition of class struggle.The significance of this thesis shows how the business interest associations (BIAs) and the trade unions (TUs) have had centrifugal and centripetal forces. The BIAs who represent vertically integrated poultry firms (integrators) have more political options, whereby their structural and instrumental powers have the more latent capacity to influence the decision-making process (e.g., intensive lobbying). On the other hand, the TUs have limited political options because their structural and instrumental powers have fewer resources, making the TUs appealed to nationalist populism. The latter’s strategy is more confrontational (e.g., demonstration instead of lobbying) than the former, who are the direct beneficiaries of legal-rational patrimonialism. Therefore, the asymmetric relations among the two also fuel the conflict of interests and domestic cleavage.At the international level, the WTO has the legal capacity to enforce its ruling. The fact that the implementation of the agreement on agriculture among the global South is contentious, Brazil as a global swing state and the largest agribusiness power, has utilized the corporate food regime to gain market access. Indonesia, however, is careful in formulating its negotiation strategy as non-compliance act would result in bad precedent due to available retaliation process that can be undertaken by Brazil. Therefore, this demonstrates Indonesia’s responses toward late capitalism and its ambivalence toward liberalization and protectionism. However, Indonesia will continue to defend its interest in the global trade regime and will likely perpetuate embedded liberalism under the cloak of nationalist motives.
DOI: 10.25345/c50c4sk4w
title: MassIVE Reanalysis RMSV000000354.2945 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TNFRSF6B [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5vm42x8s
title: MassIVE Reanalysis RMSV000000354.2943 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CCDC34 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5qv3c43k
title: MassIVE Reanalysis RMSV000000354.2947 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, BEND7 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5m32n98n
title: MassIVE Reanalysis RMSV000000354.2944 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FAM60A [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5gb1xh4h
title: MassIVE Reanalysis RMSV000000354.2946 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, BOLL [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5bk16q17
title: MassIVE Reanalysis RMSV000000354.2951 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C18orf45 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c56w9691r
title: MassIVE Reanalysis RMSV000000354.2948 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MAP1LC3C [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5348gg8s
title: MassIVE Reanalysis RMSV000000354.2952 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HARBI1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5zc7rv2x
title: MassIVE Reanalysis RMSV000000354.2950 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SCPEP1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5pv6b72v
title: MassIVE Reanalysis RMSV000000354.2953 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SIAE [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5tm7217g
title: MassIVE Reanalysis RMSV000000354.2954 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MMACHC [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5517/ccdc.csd.cc28xck4
title: CCDC 2112636: Experimental Crystal Structure Determination

description: Related Article: Yujia Wang, Michel Rickhaus, Olivier Blacque, Kim K. Baldridge, Michal Juríček, Jay S. Siegel|2022|J.Am.Chem.Soc.|144|2679|doi:10.1021/jacs.1c11032
DOI: 10.5517/ccdc.csd.cc28xcm6
title: CCDC 2112638: Experimental Crystal Structure Determination

description: Related Article: Yujia Wang, Michel Rickhaus, Olivier Blacque, Kim K. Baldridge, Michal Juríček, Jay S. Siegel|2022|J.Am.Chem.Soc.|144|2679|doi:10.1021/jacs.1c11032
DOI: 10.5517/ccdc.csd.cc28y5xb
title: CCDC 2113422: Experimental Crystal Structure Determination

description: Related Article: Donggeon Nam, Antonio Tinoco, Zhuofan Shen, Ronald D. Adukure, Gopeekrishnan Sreenilayam, Sagar D. Khare, Rudi Fasan|2022|J.Am.Chem.Soc.|144|2590|doi:10.1021/jacs.1c10750
DOI: 10.25505/fiz.icsd.cc2907xh
title: CSD 2115406: Experimental Crystal Structure Determination

description: Related Article: Garrett C. McKeown Wessler, Tianlin Wang, Volker Blum, David B. Mitzi|2022|Inorg.Chem.|61|2929|doi:10.1021/acs.inorgchem.1c03805
DOI: 10.25345/c5k35md8d
title: MassIVE Reanalysis RMSV000000354.2955 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, KLK3 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5517/ccdc.csd.cc291kfc
title: CSD 2116662: Experimental Crystal Structure Determination

description: Related Article: James A. Sommers, Lauren Palys, Nicolas P. Martin, Dylan B. Fast, Mehran Amiri, May Nyman|2022|J.Am.Chem.Soc.|144|2816|doi:10.1021/jacs.1c13338
DOI: 10.5517/ccdc.csd.cc291kc9
title: CCDC 2116660: Experimental Crystal Structure Determination

description: Related Article: James A. Sommers, Lauren Palys, Nicolas P. Martin, Dylan B. Fast, Mehran Amiri, May Nyman|2022|J.Am.Chem.Soc.|144|2816|doi:10.1021/jacs.1c13338
DOI: 10.5517/ccdc.csd.cc291kdb
title: CCDC 2116661: Experimental Crystal Structure Determination

description: Related Article: James A. Sommers, Lauren Palys, Nicolas P. Martin, Dylan B. Fast, Mehran Amiri, May Nyman|2022|J.Am.Chem.Soc.|144|2816|doi:10.1021/jacs.1c13338
DOI: 10.5517/ccdc.csd.cc2956k8
title: CCDC 2120169: Experimental Crystal Structure Determination

description: Related Article: Liang-Hua Jie, Bin Guo, Jinshuai Song, Hai-Chao Xu|2022|J.Am.Chem.Soc.|144|2343|doi:10.1021/jacs.1c12762
DOI: 10.5517/ccdc.csd.cc297qs2
title: CCDC 2122594: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc297qt3
title: CCDC 2122595: Experimental Crystal Structure Determination

description: Related Article: Takuya Yamakado, Shohei Saito|2022|J.Am.Chem.Soc.|144|2804|doi:10.1021/jacs.1c12955
DOI: 10.25345/c5fb4wm5r
title: MassIVE Reanalysis RMSV000000354.2949 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SULT1C4 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c59p2w64b
title: MassIVE Reanalysis RMSV000000354.2896 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HLA-DMB [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c55x25d12
title: MassIVE Reanalysis RMSV000000354.2958 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MBLAC2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6088574
title: FOA-MEIR Dataset: multi-environment impulse response recordings with a first-order ambisonic microphone

description: FOA-MEIR is an impulse response (IR) dataset recorded in over 100 environments for use in sound event localization and detection (SELD) tasks. This dataset is set up to develop a robust SELD system in an unknown environment, and the IRs for the inferred environment are recorded at a different location from that of training data. The dataset also contains dry source recordings that can be combined with IR recordings to generate audio clips for training the SELD task. License: see the file named LICENSE.pdf Further information is available at [1] and Github: https://github.com/nttrd-mdlab/seld-foa-meir<br> <br> [1] Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito, “Echo-aware Adaptation of Sound Event Localization and Detection in Unknown Environments,” in IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), 2022.
DOI: 10.5281/zenodo.6088573
title: FOA-MEIR Dataset: multi-environment impulse response recordings with a first-order ambisonic microphone

description: FOA-MEIR is an impulse response (IR) dataset recorded in over 100 environments for use in sound event localization and detection (SELD) tasks. This dataset is set up to develop a robust SELD system in an unknown environment, and the IRs for the inferred environment are recorded at a different location from that of training data. The dataset also contains dry source recordings that can be combined with IR recordings to generate audio clips for training the SELD task. License: see the file named LICENSE.pdf Further information is available at [1] and Github: https://github.com/nttrd-mdlab/seld-foa-meir<br> <br> [1] Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito, “Echo-aware Adaptation of Sound Event Localization and Detection in Unknown Environments,” in IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), 2022.
DOI: 10.25345/c5251fk64
title: MassIVE Reanalysis RMSV000000354.2956 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SAT2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.