cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21258/1475455
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897270
DOI: 10.21258/1464711
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898838
DOI: 10.21258/1453866
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898775
DOI: 10.21258/1466418
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898539
DOI: 10.21258/1439265
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899433
DOI: 10.21258/1470137
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897277
DOI: 10.21258/1463992
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897110
DOI: 10.21258/1467322
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899035
DOI: 10.21258/1454331
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898991
DOI: 10.21258/1462561
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898783
DOI: 10.21258/1475279
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898067
DOI: 10.21258/1450485
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898757
DOI: 10.21258/1473659
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893430
DOI: 10.21258/1472102
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 892014
DOI: 10.21258/1465441
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893039
DOI: 10.21258/1433987
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897692
DOI: 10.21258/1438970
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898675
DOI: 10.21258/1464883
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891999
DOI: 10.5281/zenodo.4304799
title: Supplementary material for the publication: J.D. Nixon, K. Bhargava and E. Gaura, Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps, 2020

description: The dataset deposited here was prepared under the EPSRC-funded Humanitarian Engineering and Energy for Displacement research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. As part of the project, we deployed a Standalone Solar System for a Community Hall in Nyabiheke camp, Rwanda, and a PV-battery Microgrid in Kigeme camp, Rwanda. The microgrid supplies power to a playground and two nursery buildings. It powers a total of 20 CPE (each with 3 LEDs) and 10 sockets. The standalone system at Hall powers 7 CPE (with 3 LEDs each) and 4 sockets. The aim of the study was to (a) understand the energy consumption behaviour, light usage and other enabled uses within the set location in each camp (b) create an evidence base on the value of energy and its benefits in displaced contexts (c) identify best practice in the construction, control and operation of the respective systems as a shared energy resource. The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled '<strong>Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps</strong>' (currently under submission). The scripts for analysis can be found at our Github account Cogent Labs under HEED-Microgrid and HEED-Hall repositories.
DOI: 10.5281/zenodo.3949776
title: Supplementary material for the publication: J.D. Nixon, K. Bhargava and E. Gaura, Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps, 2020

description: The dataset deposited here was prepared under the EPSRC-funded Humanitarian Engineering and Energy for Displacement research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. As part of the project, we deployed a Standalone Solar System for a Community Hall in Nyabiheke camp, Rwanda, and a PV-battery Microgrid in Kigeme camp, Rwanda. The microgrid supplies power to a playground and two nursery buildings. It powers a total of 20 CPE (each with 3 LEDs) and 10 sockets. The standalone system at Hall powers 7 CPE (with 3 LEDs each) and 4 sockets. The aim of the study was to (a) understand the energy consumption behaviour, light usage and other enabled uses within the set location in each camp (b) create an evidence base on the value of energy and its benefits in displaced contexts (c) identify best practice in the construction, control and operation of the respective systems as a shared energy resource. The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled '<strong>Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps</strong>' (currently under submission). The scripts for analysis can be found at our Github account Cogent Labs under HEED-Microgrid and HEED-Hall repositories.
DOI: 10.21258/1455126
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898197
DOI: 10.21258/1452805
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 892000
DOI: 10.21258/1454938
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891916
DOI: 10.21258/1438593
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897453
DOI: 10.21258/1440869
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897586
DOI: 10.25897/5/nhc7-0d72
title: Mobilisation of data for GFBio services - Belmont Forum Open Data Survey 2014 Use Case

description: The data collection is that from the original data publication, i.e. Schmidt, B., Gemeinholzer, B., Treloar, A., Hodge, J., Santanchè, A., & Oakley, K. (2015). Belmont Forum Open Data Survey 2014 [Data set]. Zenodo. http://doi.org/10.5281/zenodo.16384. The Belmont Forum Open Data Survey was from September -- November 2014, organised by the Open Data working group of the E-Infrastructure and Data Management Collaborative Research Action (https://www.belmontforum.org/). The findings of the Belmont Forum´s survey on Open Data were discussed by Schmidt, B., Gemeinholzer, B., Treloar, A. (2016): Open Data in Global Environmental Research: The Belmont Forum's Open Data Survey. PLOS One, DOI: 10.1371/journal.pone.0146695. In 2015, the data were restructured following the EML 2.1.1 standard and the SDD 1.1 standard and used as good practice example to optimize internal pipelines for data processing within the project GFBio (https://www.gfbio.org/).
DOI: 10.21258/1441312
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899644
DOI: 10.25897/5/j2cs-q186
title: Mobilisation of data for GFBio services - Belmont Forum Open Data Survey 2014 Use Case

description: The data collection is that from the original data publication, i.e. Schmidt, B., Gemeinholzer, B., Treloar, A., Hodge, J., Santanchè, A., & Oakley, K. (2015). Belmont Forum Open Data Survey 2014 [Data set]. Zenodo. http://doi.org/10.5281/zenodo.16384. The Belmont Forum Open Data Survey was from September -- November 2014, organised by the Open Data working group of the E-Infrastructure and Data Management Collaborative Research Action (https://www.belmontforum.org/). The findings of the Belmont Forum´s survey on Open Data were discussed by Schmidt, B., Gemeinholzer, B., Treloar, A. (2016): Open Data in Global Environmental Research: The Belmont Forum's Open Data Survey. PLOS One, DOI: 10.1371/journal.pone.0146695. In 2015, the data were restructured following the EML 2.1.1 standard and the SDD 1.1 standard and used as good practice example to optimize internal pipelines for data processing within the project GFBio (https://www.gfbio.org/).
DOI: 10.21258/1448542
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897499
DOI: 10.5517/ccdc.csd.cc23b27s
title: CCDC 1946094: Experimental Crystal Structure Determination

description: Related Article: zeshui liu|2020|CSD Communication|||
description: Related Article: Ze-Shui Liu, Yu Hua, Qianwen Gao, Yuanyuan Ma, Hua Tang, Yong Shang, Hong-Gang Cheng, Qianghui Zhou|2020|Nat. Catal.|3|727|doi:10.1038/s41929-020-0494-1
DOI: 10.21258/1439439
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899393
DOI: 10.5517/ccdc.csd.cc23b3n7
title: CCDC 1946138: Experimental Crystal Structure Determination

description: Related Article: zeshui liu|2020|CSD Communication|||
description: Related Article: Ze-Shui Liu, Yu Hua, Qianwen Gao, Yuanyuan Ma, Hua Tang, Yong Shang, Hong-Gang Cheng, Qianghui Zhou|2020|Nat. Catal.|3|727|doi:10.1038/s41929-020-0494-1
DOI: 10.5517/ccdc.csd.cc23b3p8
title: CCDC 1946139: Experimental Crystal Structure Determination

description: Related Article: zeshui liu|2020|CSD Communication|||
description: Related Article: Ze-Shui Liu, Yu Hua, Qianwen Gao, Yuanyuan Ma, Hua Tang, Yong Shang, Hong-Gang Cheng, Qianghui Zhou|2020|Nat. Catal.|3|727|doi:10.1038/s41929-020-0494-1
DOI: 10.5517/ccdc.csd.cc25bfhg
title: CCDC 2006025: Experimental Crystal Structure Determination

description: Related Article: Jiyeon Kim, Dongsik Nam, Hiroshi Kitagawa, Dae-Woon Lim, Wonyoung Choe|2020|Nano Res.|14|392|doi:10.1007/s12274-020-2830-9
DOI: 10.21258/1459297
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899327
DOI: 10.21258/1476772
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898711
DOI: 10.21258/1469311
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891971
DOI: 10.21258/1460868
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897428
DOI: 10.21258/1450840
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897765
DOI: 10.21258/1458149
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897577
DOI: 10.21258/1435299
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899173
DOI: 10.6084/m9.figshare.13280657
title: Analysis of genome DNA methylation at inherited coat-color dilutions of Rex Rabbits-Tables

description: The raw data.
DOI: 10.6084/m9.figshare.13280657.v3
title: Analysis of genome DNA methylation at inherited coat-color dilutions of Rex Rabbits-Tables

description: The raw data.
DOI: 10.6084/m9.figshare.13280657.v2
title: Analysis of genome DNA methylation at inherited coat-color dilutions of Rex Rabbits-Tables

description: The raw data.
DOI: 10.21258/1458491
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902046
DOI: 10.21258/1472299
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899657
DOI: 10.21258/1453189
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 896952
DOI: 10.21258/1444518
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902077
DOI: 10.6084/m9.figshare.13351976
title: Effect of Recombinant Human Thrombomodulin on Ventilator-Induced Lung Injury in Septic Rats Dataset

description: This is a dataset of the study entitled "Effect of recombinant human thrombomodulin on ventilator-induced lung injury in septic rats
DOI: 10.6084/m9.figshare.13351976.v1
title: Effect of Recombinant Human Thrombomodulin on Ventilator-Induced Lung Injury in Septic Rats Dataset

description: This is a dataset of the study entitled "Effect of recombinant human thrombomodulin on ventilator-induced lung injury in septic rats
DOI: 10.21258/1435091
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902097
DOI: 10.21258/1469821
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891966
DOI: 10.21258/1440793
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898235
DOI: 10.21258/1463367
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899497
DOI: 10.21258/1464392
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898055
DOI: 10.21258/1449256
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898920
DOI: 10.6084/m9.figshare.13351997.v1
title: Data_ElNINO_driven_precipitation_anomalies_from_CMIP5

description: These data is composite of precipitation anomalies driven by El Nino under historical and Anthropogenic forcings (RPC4.5/8.5)
DOI: 10.21258/1442848
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899328
DOI: 10.6084/m9.figshare.13351997
title: Data_ElNINO_driven_precipitation_anomalies_from_CMIP5

description: These data is composite of precipitation anomalies driven by El Nino under historical and Anthropogenic forcings (RPC4.5/8.5)
DOI: 10.21258/1454936
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898977
DOI: 10.21258/1444032
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899371
DOI: 10.21258/1464648
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898816
DOI: 10.21258/1452910
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898058
DOI: 10.21258/1451532
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897418
DOI: 10.21258/1464677
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897293
DOI: 10.21258/1475892
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897211
DOI: 10.21258/1436984
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898153
DOI: 10.21258/1469479
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902268
DOI: 10.21258/1434406
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 896910
DOI: 10.6084/m9.figshare.11860215
title: Configurational diffusion transport of water and oil in dual continuum shales

description: This data set consists of raw data for small angle X-ray scattering experiment, water/oil shale imbibition experiments. Also, 3D visualizations of diffusion are included here.
DOI: 10.6084/m9.figshare.11860215.v2
title: Configurational diffusion transport of water and oil in dual continuum shales

description: This data set consists of raw data for small angle X-ray scattering experiment, water/oil shale imbibition experiments. Also, 3D visualizations of diffusion are included here.
DOI: 10.6084/m9.figshare.11860215.v1
title: Aqueous and non-aqueous flow in dual-continuum tight porous media: The subtle effect of configurational diffusion

description: This data set consists of raw data for small angle X-ray scattering experiment, water/oil shale imbibition experiments. Also, 3D visualizations of diffusion are included here.
DOI: 10.21258/1440348
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893454
DOI: 10.6084/m9.figshare.13264922
title: Data set of "Transdermal electroosmotic flow generated by a porous microneedle array patch"

description: This file contains all of data for the manuscript entitled by "Transdermal electroosmotic flow generated by a porous microneedle array patch" in Nature Communications.
DOI: 10.21258/1452517
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 892045
DOI: 10.21227/eqwy-3k52
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 277,065 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.21258/1469856
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897139
DOI: 10.21258/1465799
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898010
DOI: 10.21335/nmdc-nersc-1373893755
title: UAK - Active and Passive Acoustic data - 23 Jun 2020

description: Ambient sound was measured in Storfjorden, Svalbardatfrequenciesfrom30 to 24000Hz at a depth of around 20 meters.The measurements were carried out in open sea at depths of about 100 metres or more.The measurements were carried out using a drifting small boat, where the engine was turned off.Thereafter, asecond small boat was used for transmitting pings at 11 kHztowards the first small boatatdifferent depths and ranges.The experiment was carried outin June 2020by Master studentsunder supervision, as part of a research school in the Barents Sea with K/V Svalbard, organized under the UAK project lead by the Nansen Environmental and Remote Sensing Centre.
DOI: 10.21258/1434984
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 896929
DOI: 10.21258/1453274
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898734
DOI: 10.21258/1458410
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891837
DOI: 10.21258/1463020
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897055
DOI: 10.6084/m9.figshare.12592349
title: code_and_data.zip

description: The data and codes that support the findings of the study "Measuring hub locations in time-evolving spatial interaction networks based on explicit spatiotemporal coupling and group centrality" published in the International Journal of Geographical Information Science.
DOI: 10.6084/m9.figshare.13120391
title: 多项式加工树模型次序约束的量化分析及其应用补充材料

description: 此补充材料是与研究文献“多项式加工树模型次序约束的量化分析及其应用”（以下简称本研究）相关的形式化定义、形式化结论和实例源代码及操作步骤。该补充材料的目的主要有两个，其一是为了本研究理论的完整性和规范性，在本补充材料中给出了相关定义和结论的形式化描述(A1-A3)；其二是为了使作者能够理解次序约束的量化过程能够重复获得本研究实例的结果，在补充材料A4中给出相关的源代码和操作过程。该补充材料主要分四部分，其分别为A1：MPT模型的形式化定义；A2：结论1 MPT模型参数向量间两参数次序约束的量化分析；A3：结论2 MPT模型参数向量内两参数次序约束的量化分析；A4：MPT模型实例分析的源代码、分析过程及原始结果。其主要内容如下：首先，在本研究MPT模型定义的文字描述的基础上，在此补充材料中给出了MPT模型的形式化定义，以便于更加规范准确地描述模型的定义（A1）。其次，针对我们归纳出的MPT模型次序约束量化分析结论，为了表明结论的准确性和严谨性，在这里分别给出了这两个结论的形式化表述和推导，即MPT模型参数向量间两参数次序约束量化分析（A2 结论1）、MPT模型参数向量内两参数次序约束量化分析（A3 结论2）。需要注意的是，虽然形式化表述更加准确、简洁，但含有较多的符号，相对有些抽象，对纯心理学背景的同仁来说可能不够直观。为此，我们在正文中以文字和实例的形式对相关结论进行了表述，而在此处将形式化表述作为正文的一个理论补充。形式化结果及其推导以在线补充材料的形式提供给大家，以便使感兴趣的读者能够更准确地把握本研究的理论结果。最后，为了让读者能够重复本研究实例的结果，我们在A4中补充了相关的模型分析软件GPT.exe、程序源代码、分析结果原始代码、计算过程和相关操作步骤概述。 感谢您的阅读，希望本补充材料能够为您理解本研究并重复其结果提供有效帮助，同时希望本研究能够起到抛砖引玉的作用。如有需要或疑问请联系我们。
DOI: 10.6084/m9.figshare.13120391.v4
title: 多项式加工树模型次序约束的量化分析及其应用补充材料

description: 此补充材料是与研究文献“多项式加工树模型次序约束的量化分析及其应用”（以下简称本研究）相关的形式化定义、形式化结论和实例源代码及操作步骤。该补充材料的目的主要有两个，其一是为了本研究理论的完整性和规范性，在本补充材料中给出了相关定义和结论的形式化描述(A1-A3)；其二是为了使作者能够理解次序约束的量化过程能够重复获得本研究实例的结果，在补充材料A4中给出相关的源代码和操作过程。该补充材料主要分四部分，其分别为A1：MPT模型的形式化定义；A2：结论1 MPT模型参数向量间两参数次序约束的量化分析；A3：结论2 MPT模型参数向量内两参数次序约束的量化分析；A4：MPT模型实例分析的源代码、分析过程及原始结果。其主要内容如下：首先，在本研究MPT模型定义的文字描述的基础上，在此补充材料中给出了MPT模型的形式化定义，以便于更加规范准确地描述模型的定义（A1）。其次，针对我们归纳出的MPT模型次序约束量化分析结论，为了表明结论的准确性和严谨性，在这里分别给出了这两个结论的形式化表述和推导，即MPT模型参数向量间两参数次序约束量化分析（A2 结论1）、MPT模型参数向量内两参数次序约束量化分析（A3 结论2）。需要注意的是，虽然形式化表述更加准确、简洁，但含有较多的符号，相对有些抽象，对纯心理学背景的同仁来说可能不够直观。为此，我们在正文中以文字和实例的形式对相关结论进行了表述，而在此处将形式化表述作为正文的一个理论补充。形式化结果及其推导以在线补充材料的形式提供给大家，以便使感兴趣的读者能够更准确地把握本研究的理论结果。最后，为了让读者能够重复本研究实例的结果，我们在A4中补充了相关的模型分析软件GPT.exe、程序源代码、分析结果原始代码、计算过程和相关操作步骤概述。 感谢您的阅读，希望本补充材料能够为您理解本研究并重复其结果提供有效帮助，同时希望本研究能够起到抛砖引玉的作用。如有需要或疑问请联系我们。
DOI: 10.6084/m9.figshare.13120391.v3
title: 多项式加工树模型次序约束的量化分析及其应用补充材料

description: 此补充材料是与研究文献“多项式加工树模型次序约束的量化分析及其应用”（以下简称本研究）相关的形式化定义、形式化结论和实例源代码及操作步骤。该补充材料的目的主要有两个，其一是为了本研究理论的完整性和规范性，在本补充材料中给出了相关定义和结论的形式化描述(A1-A3)；其二是为了使作者能够理解次序约束的量化过程能够重复获得本研究实例的结果，在补充材料A4中给出相关的源代码和操作过程。该补充材料主要分四部分，其分别为A1：MPT模型的形式化定义；A2：结论1 MPT模型参数向量间两参数次序约束的量化分析；A3：结论2 MPT模型参数向量内两参数次序约束的量化分析；A4：MPT模型实例分析的源代码、分析过程及原始结果。其主要内容如下：首先，在本研究MPT模型定义的文字描述的基础上，在此补充材料中给出了MPT模型的形式化定义，以便于更加规范准确地描述模型的定义（A1）。其次，针对我们归纳出的MPT模型次序约束量化分析结论，为了表明结论的准确性和严谨性，在这里分别给出了这两个结论的形式化表述和推导，即MPT模型参数向量间两参数次序约束量化分析（A2 结论1）、MPT模型参数向量内两参数次序约束量化分析（A3 结论2）。需要注意的是，虽然形式化表述更加准确、简洁，但含有较多的符号，相对有些抽象，对纯心理学背景的同仁来说可能不够直观。为此，我们在正文中以文字和实例的形式对相关结论进行了表述，而在此处将形式化表述作为正文的一个理论补充。形式化结果及其推导以在线补充材料的形式提供给大家，以便使感兴趣的读者能够更准确地把握本研究的理论结果。最后，为了让读者能够重复本研究实例的结果，我们在A4中补充了相关的模型分析软件GPT.exe、程序源代码、分析结果原始代码、计算过程和相关操作步骤概述。 感谢您的阅读，希望本补充材料能够为您理解本研究并重复其结果提供有效帮助，同时希望本研究能够起到抛砖引玉的作用。如有需要或疑问请联系我们。
DOI: 10.21258/1433019
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899119
DOI: 10.21258/1452374
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898479
DOI: 10.21258/1451447
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 902203
DOI: 10.21335/nmdc-nersc-71625140
title: UAK - Active and Passive Acoustic data - 24 Jun 2020

description: Ambient sound was measured in Storfjorden, Svalbard at frequencies from 30 to 24000 Hz at a depth of around 20 meters. The measurements were carried out in open sea at depths of about 100 metres or more. The measurements were carried out using a drifting small boat, where the engine was turned off. Thereafter, a second small boat was used for transmitting pings at 11 kHz towards the first small boat at different depths and ranges. The experiment was carried out in June 2020 by Master students under supervision, as part of a research school in the Barents Sea with K/V Svalbard, organized under the UAK project lead by the Nansen Environmental and Remote Sensing Centre.
DOI: 10.21258/1475726
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897857
DOI: 10.21258/1474096
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899162
DOI: 10.21258/1456305
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897412
DOI: 10.5519/qd.jgj29epw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21258/1474261
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891988
DOI: 10.21258/1467447
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897956
DOI: 10.21258/1476634
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 896958
DOI: 10.21258/1460732
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898916
DOI: 10.21258/1457945
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898211
DOI: 10.21258/1455526
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899378
DOI: 10.21258/1477992
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898012
DOI: 10.21258/1462363
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 892923
DOI: 10.21258/1472939
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897367