Collaborative Research: ABI Development: Creating a generic workflow for scaling up the production of species ranges
合作研究:ABI 开发:创建扩大物种范围生产的通用工作流程
基本信息
- 批准号:1565046
- 负责人:
- 金额:$ 18.47万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-07-01 至 2016-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The science of forecasting where a species can live and how it responds to climate change is still in its infancy. A species' geographic range is the map of where a species can be found. It is fundamental to understanding species' ecology and evolution and increasingly plays a vital role in conservation. Collections of species ranges covering most of the 30,000 terrestrial vertebrate species are already available for scientific analysis. However, collections of species ranges from the other ~95% of species on the planet are rare. The time is ripe to change this. New access to vast quantities of data from biological inventories, museums, citizen science, and previously funded studies mean that adequate data are available to estimate the ranges of many more species. However, we are currently missing robust forecasting methods and the computational tools to produce large numbers of ranges. This project will develop the novel computational methods and algorithms needed to forecast the current state and future fate of the many thousands of poorly studied species ranges. These methods will be applied to forecast how 100,000+ plant species in the New World will respond to climate change. The researchers will test key assumptions in conservation biology about how species respond to changing climate and the geographic constancy of diversity hotspots across North and South America have/will change over time. The end result of their work will be a novel tool for the ecological community that has tremendous potential to guide biological sampling strategies, particularly in conservation and citizen science applications. The proposed research will examine whether biodiversity hotspots are constant through time and whether species climatic niches are phylogenetically conserved, two implicit assumptions with wide-reaching implications in conservation biology and basic ecology. This research will develop a workflow to predict species ranges for any taxonomic group using by combining occurrence data with GIS data. This workflow will be applied to all New World plants to study basic questions, such as how species richness varies across space and time (a topic studied almost exclusively in vertebrates and trees). Computationally, the project will address core challenges in data scrubbing, niche modeling practices, novel niche modeling methods, and mega-phylogeny analysis methods. A freely available generic pipeline will be capable of linking biodiversity occurrence data to species ranges and scaling these computations to 1000s or 100,000s of species. This integrated pipeline will be implemented by: 1) appropriately scrubbing data to remove taxonomic and geographic errors, 2) identifying clear best practice methods for range modeling applicable across diverse species, 3) innovating range modeling methods that integrate diverse data such as presence only museum collections and abundance-based plot data 4) scaling computationally-intensive range modeling in an HPC environment, and 5) placing the outputs of the products in a phylogenetic context. This project will develop such a pipeline using a novel database of 20,000,000 observations of 100,000+ species of plants in the New World. The range forecasts produced will be used to test key assumptions in conservation biology about the phylogenetic conservatism of species climatic niches and the geographic constancy of diversity hotspots over time. This research will make substantial contributions to scientific infrastructure through the development of a scientific codebase for the production of high-quality species ranges from primary biodiversity data. The results of the project can be found via the following websites (http://bien.nceas.ucsb.edu/bien/ and bien3.org).
预测一个物种可以生活在哪里以及它如何应对气候变化的科学仍处于起步阶段。一个物种的地理范围是一个物种的分布图,它是理解物种生态和进化的基础,在保护方面也越来越发挥着重要作用。现已收集了涵盖30 000种陆地脊椎动物物种中大多数的物种范围,可供科学分析。然而,收集的物种范围从其他~95%的物种在地球上是罕见的。改变这种状况的时机已经成熟。从生物名录、博物馆、公民科学和以前资助的研究中获得大量数据的新途径意味着有足够的数据来估计更多物种的范围。然而,我们目前缺乏强大的预测方法和计算工具来产生大量的范围。该项目将开发新的计算方法和算法,以预测数千个研究不足的物种范围的现状和未来命运。这些方法将用于预测新世界10万多种植物物种将如何应对气候变化。研究人员将测试保护生物学中关于物种如何应对气候变化的关键假设,以及北美和南美多样性热点的地理恒定性已经/将随着时间的推移而变化。 他们工作的最终结果将是生态社区的一种新工具,具有指导生物采样策略的巨大潜力,特别是在保护和公民科学应用中。拟议的研究将研究生物多样性热点是否是恒定的,是否物种的气候生态位是遗传保守的,这两个隐含的假设在保护生物学和基础生态学中具有广泛的影响。这项研究将开发一个工作流程,通过将发生数据与GIS数据相结合来预测任何分类组的物种范围。这一工作流程将应用于所有新世界植物,以研究基本问题,例如物种丰富度如何在空间和时间上变化(这一主题几乎完全在脊椎动物和树木中研究)。在计算方面,该项目将解决数据清洗,利基建模实践,新颖的利基建模方法和大型分析方法的核心挑战。 一个免费的通用管道将能够将生物多样性发生数据与物种范围联系起来,并将这些计算扩展到1000或100,000个物种。这一综合管道将通过以下方式实施:1)适当地清理数据以去除分类学和地理学错误,2)识别适用于不同物种的范围建模的明确的最佳实践方法,3)创新范围建模方法,其集成诸如仅存在博物馆收藏和基于丰度的地块数据的不同数据,4)在HPC环境中缩放计算密集型范围建模,以及5)将产品的输出置于系统发育背景中。该项目将使用一个新的数据库开发这样一个管道,该数据库包含新世界10万多种植物的20,000,000个观察结果。所产生的范围预测将用于测试保护生物学中关于物种气候生态位的系统发育保守性和多样性热点随时间的地理恒定性的关键假设。这项研究将为科学基础设施作出重大贡献,通过开发一个科学代码库,从初级生物多样性数据中产生高质量的物种。 该项目的结果可通过以下网站(http://www.example.com和bien3.org)查阅。bien.nceas.ucsb.edu/bien/
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Cory Merow其他文献
No species left behind: borrowing strength to map data-deficient species
- DOI:
10.1016/j.tree.2025.04.010 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:17.300
- 作者:
Shubhi Sharma;Kevin Winner;Laura J. Pollock;James T. Thorson;Jussi Mäkinen;Cory Merow;Eric J. Pedersen;Kalkidan F. Chefira;Julia M. Portmann;Fabiola Iannarilli;Sara Beery;Riccardo de Lutio;Walter Jetz - 通讯作者:
Walter Jetz
The global distribution and drivers of wood density and their impact on forest carbon stocks
木材密度的全球分布及其驱动因素及其对森林碳储量的影响
- DOI:
10.1038/s41559-024-02564-9 - 发表时间:
2024-10-15 - 期刊:
- 影响因子:14.500
- 作者:
Lidong Mo;Thomas W. Crowther;Daniel S. Maynard;Johan van den Hoogen;Haozhi Ma;Lalasia Bialic-Murphy;Jingjing Liang;Sergio de-Miguel;Gert-Jan Nabuurs;Peter B. Reich;Oliver L. Phillips;Meinrad Abegg;Yves C. Adou Yao;Giorgio Alberti;Angelica M. Almeyda Zambrano;Braulio Vilchez Alvarado;Esteban Alvarez-Dávila;Patricia Alvarez-Loayza;Luciana F. Alves;Iêda Amaral;Christian Ammer;Clara Antón-Fernández;Alejandro Araujo-Murakami;Luzmila Arroyo;Valerio Avitabile;Gerardo A. Aymard;Timothy R. Baker;Radomir Bałazy;Olaf Banki;Jorcely G. Barroso;Meredith L. Bastian;Jean-Francois Bastin;Luca Birigazzi;Philippe Birnbaum;Robert Bitariho;Pascal Boeckx;Frans Bongers;Coline C. F. Boonman;Olivier Bouriaud;Pedro H. S. Brancalion;Susanne Brandl;Francis Q. Brearley;Roel Brienen;Eben N. Broadbent;Helge Bruelheide;Filippo Bussotti;Roberto Cazzolla Gatti;Ricardo G. César;Goran Cesljar;Robin Chazdon;Han Y. H. Chen;Chelsea Chisholm;Hyunkook Cho;Emil Cienciala;Connie Clark;David Clark;Gabriel D. Colletta;David A. Coomes;Fernando Cornejo Valverde;José J. Corral-Rivas;Philip M. Crim;Jonathan R. Cumming;Selvadurai Dayanandan;André L. de Gasper;Mathieu Decuyper;Géraldine Derroire;Ben DeVries;Ilija Djordjevic;Jiri Dolezal;Aurélie Dourdain;Nestor Laurier Engone Obiang;Brian J. Enquist;Teresa J. Eyre;Adandé Belarmain Fandohan;Tom M. Fayle;Ted R. Feldpausch;Leandro V. Ferreira;Leena Finér;Markus Fischer;Christine Fletcher;Lorenzo Frizzera;Javier G. P. Gamarra;Damiano Gianelle;Henry B. Glick;David J. Harris;Andrew Hector;Andreas Hemp;Geerten Hengeveld;Bruno Hérault;John L. Herbohn;Martin Herold;Peter Hietz;Annika Hillers;Eurídice N. Honorio Coronado;Cang Hui;Thomas Ibanez;Nobuo Imai;Andrzej M. Jagodziński;Bogdan Jaroszewicz;Vivian Kvist Johannsen;Carlos A. Joly;Tommaso Jucker;Ilbin Jung;Viktor Karminov;Kuswata Kartawinata;Elizabeth Kearsley;David Kenfack;Deborah K. Kennard;Sebastian Kepfer-Rojas;Gunnar Keppel;Mohammed Latif Khan;Timothy J. Killeen;Hyun Seok Kim;Kanehiro Kitayama;Michael Köhl;Henn Korjus;Florian Kraxner;Dmitry Kucher;Diana Laarmann;Mait Lang;Simon L. Lewis;Yuanzhi Li;Gabriela Lopez-Gonzalez;Huicui Lu;Natalia V. Lukina;Brian S. Maitner;Yadvinder Malhi;Eric Marcon;Beatriz Schwantes Marimon;Ben Hur Marimon-Junior;Andrew R. Marshall;Emanuel H. Martin;James K. McCarthy;Jorge A. Meave;Omar Melo-Cruz;Casimiro Mendoza;Irina Mendoza-Polo;Stanislaw Miscicki;Cory Merow;Abel Monteagudo Mendoza;Vanessa S. Moreno;Sharif A. Mukul;Philip Mundhenk;María Guadalupe Nava-Miranda;David Neill;Victor J. Neldner;Radovan V. Nevenic;Michael R. Ngugi;Pascal A. Niklaus;Petr Ontikov;Edgar Ortiz-Malavasi;Yude Pan;Alain Paquette;Alexander Parada-Gutierrez;Elena I. Parfenova;Minjee Park;Marc Parren;Narayanaswamy Parthasarathy;Pablo L. Peri;Sebastian Pfautsch;Nicolas Picard;Maria Teresa F. Piedade;Daniel Piotto;Nigel C. A. Pitman;Lourens Poorter;Axel Dalberg Poulsen;John R. Poulsen;Hans Pretzsch;Freddy Ramirez Arevalo;Zorayda Restrepo-Correa;Sarah J. Richardson;Mirco Rodeghiero;Samir G. Rolim;Anand Roopsind;Francesco Rovero;Ervan Rutishauser;Purabi Saikia;Christian Salas-Eljatib;Philippe Saner;Peter Schall;Mart-Jan Schelhaas;Dmitry Schepaschenko;Michael Scherer-Lorenzen;Bernhard Schmid;Jochen Schöngart;Eric B. Searle;Vladimír Seben;Josep M. Serra-Diaz;Douglas Sheil;Anatoly Z. Shvidenko;Ana Carolina Da Silva;Javier E. Silva-Espejo;Marcos Silveira;James Singh;Plinio Sist;Ferry Slik;Bonaventure Sonké;Enio Egon Sosinski;Alexandre F. Souza;Krzysztof J. Stereńczak;Jens-Christian Svenning;Miroslav Svoboda;Ben Swanepoel;Natalia Targhetta;Nadja Tchebakova;Hans ter Steege;Raquel Thomas;Elena Tikhonova;Peter M. Umunay;Vladimir A. Usoltsev;Renato Valencia;Fernando Valladares;Peter M. Van Bodegom;Fons van der Plas;Tran Van Do;Michael E. van Nuland;Rodolfo M. Vasquez;Hans Verbeeck;Helder Viana;Alexander C. Vibrans;Simone Vieira;Klaus von Gadow;Hua-Feng Wang;James V. Watson;Gijsbert D. A. Werner;Florian Wittmann;Hannsjoerg Woell;Verginia Wortel;Roderick Zagt;Tomasz Zawiła-Niedźwiecki;Chunyu Zhang;Xiuhai Zhao;Mo Zhou;Zhi-Xin Zhu;Irie C. Zo-Bi;Constantin M. Zohner - 通讯作者:
Constantin M. Zohner
Global Future Drought Layers Based on Downscaled CMIP6 Models and Multiple Socioeconomic Pathways
基于降尺度的 CMIP6 模型和多种社会经济途径的全球未来干旱层
- DOI:
10.1038/s41597-025-04612-w - 发表时间:
2025-02-19 - 期刊:
- 影响因子:6.900
- 作者:
Diogo S. A. Araujo;Brian J. Enquist;Amy E. Frazier;Cory Merow;Patrick R. Roehrdanz;Gabriel M. Moulatlet;Alex Zvoleff;Lei Song;Brian Maitner;Efthymios I. Nikolopoulos - 通讯作者:
Efthymios I. Nikolopoulos
Reply to: Spatial scale and the synchrony of ecological disruption
回复:空间尺度与生态破坏的同步性
- DOI:
10.1038/s41586-021-03760-4 - 发表时间:
2021-11-24 - 期刊:
- 影响因子:48.500
- 作者:
Christopher H. Trisos;Cory Merow;Alex L. Pigot - 通讯作者:
Alex L. Pigot
Effect of climate on traits of dominant and rare tree species in the world’s forests
气候对世界森林中优势树种和珍稀树种特征的影响
- DOI:
10.1038/s41467-025-59754-7 - 发表时间:
2025-05-22 - 期刊:
- 影响因子:15.700
- 作者:
Iris Hordijk;Lourens Poorter;Jingjing Liang;Peter B. Reich;Sergio de-Miguel;Gert-Jan Nabuurs;Javier G. P. Gamarra;Han Y. H. Chen;Mo Zhou;Susan K. Wiser;Hans Pretzsch;Alain Paquette;Nicolas Picard;Bruno Hérault;Jean-Francois Bastin;Giorgio Alberti;Meinrad Abegg;Yves C. Adou Yao;Angelica M. Almeyda Zambrano;Braulio V. Alvarado;Esteban Alvarez-Davila;Patricia Alvarez-Loayza;Luciana F. Alves;Iêda Amaral;Christian Ammer;Clara Antón-Fernández;Alejandro Araujo-Murakami;Luzmila Arroyo;Valerio Avitabile;Gerardo A. Aymard C;Timothy Baker;Olaf Banki;Jorcely Barroso;Meredith L. Bastian;Luca Birigazzi;Philippe Birnbaum;Robert Bitariho;Pascal Boeckx;Frans Bongers;Olivier Bouriaud;Pedro H. S. Brancalion;Susanne Brandl;Francis Q. Brearley;Roel Brienen;Eben N. Broadbent;Helge Bruelheide;Roberto Cazzolla Gatti;Ricardo G. Cesar;Goran Cesljar;Robin L. Chazdon;Chelsea Chisholm;Emil Cienciala;Connie J. Clark;David B. Clark;Gabriel Colletta;David Coomes;Fernando Cornejo Valverde;Jose J. Corral-Rivas;Philip Crim;Jonathan Cumming;Selvadurai Dayanandan;André L. de Gasper;Mathieu Decuyper;Géraldine Derroire;Ben DeVries;Ilija Djordjevic;Aurélie Dourdain;Jiri Dolezal;Nestor Laurier Engone Obiang;Brian Enquist;Teresa Eyre;Adandé Belarmain Fandohan;Tom M. Fayle;Leandro V. Ferreira;Ted R. Feldpausch;Leena Finér;Markus Fischer;Christine Fletcher;Lorenzo Frizzera;Damiano Gianelle;Henry B. Glick;David Harris;Andrew Hector;Andreas Hemp;John Herbohn;Annika Hillers;Eurídice N. Honorio Coronado;Cang Hui;Hyunkook Cho;Thomas Ibanez;Ilbin Jung;Nobuo Imai;Andrzej M. Jagodzinski;Bogdan Jaroszewicz;Vivian Johannsen;Carlos A. Joly;Tommaso Jucker;Viktor Karminov;Kuswata Kartawinata;Elizabeth Kearsley;David Kenfack;Deborah Kennard;Sebastian Kepfer-Rojas;Gunnar Keppel;Mohammed Latif Khan;Timothy Killeen;Hyun Seok Kim;Kanehiro Kitayama;Michael Köhl;Henn Korjus;Florian Kraxner;Diana Laarmann;Mait Lang;Simon Lewis;Huicui Lu;Natalia Lukina;Brian Maitner;Yadvinder Malhi;Eric Marcon;Beatriz Schwantes Marimon;Ben Hur Marimon-Junior;Andrew Robert Marshall;Emanuel Martin;Olga Martynenko;Jorge A. Meave;Omar Melo-Cruz;Casimiro Mendoza;Cory Merow;Stanislaw Miscicki;Abel Monteagudo Mendoza;Vanessa Moreno;Sharif A. Mukul;Philip Mundhenk;Maria G. Nava-Miranda;David Neill;Victor Neldner;Radovan Nevenic;Michael Ngugi;Pascal A. Niklaus;Jacek Oleksyn;Petr Ontikov;Edgar Ortiz-Malavasi;Yude Pan;Alexander Parada-Gutierrez;Elena Parfenova;Minjee Park;Marc Parren;Narayanaswamy Parthasarathy;Pablo L. Peri;Sebastian Pfautsch;Oliver L. Phillips;Maria Teresa Piedade;Daniel Piotto;Nigel C. A. Pitman;Martina Pollastrini;Irina Polo;Axel Dalberg Poulsen;John R. Poulsen;Freddy Ramirez Arevalo;Zorayda Restrepo-Correa;Mirco Rodeghiero;Samir Rolim;Anand Roopsind;Francesco Rovero;Ervan Rutishauser;Purabi Saikia;Christian Salas-Eljatib;Peter Schall;Dmitry Schepaschenko;Michael Scherer-Lorenzen;Bernhard Schmid;Jochen Schöngart;Eric B. Searle;Vladimír Seben;Federico Selvi;Josep M. Serra-Diaz;Douglas Sheil;Anatoly Shvidenko;Javier Silva-Espejo;Marcos Silveira;James Singh;Plinio Sist;Ferry Slik;Bonaventure Sonké;Alexandre F. Souza;Hans ter Steege;Krzysztof Stereńczak;Jens-Christian Svenning;Miroslav Svoboda;Ben Swanepoel;Natalia Targhetta;Nadja Tchebakova;Raquel Thomas;Elena Tikhonova;Peter Umunay;Vladimir Usoltsev;Renato Valencia;Fernando Valladares;Fons van der Plas;Tran Van Do;Michael E. Van Nuland;Rodolfo Vasquez Martinez;Hans Verbeeck;Helder Viana;Alexander C. Vibrans;Simone Vieira;Klaus von Gadow;Hua-Feng Wang;James Watson;Gijsbert D. A. Werner;Florian Wittmann;Verginia Wortel;Roderick Zagt;Tomasz Zawila-Niedzwiecki;Chunyu Zhang;Xiuhai Zhao;Zhi-Xin Zhu;Irie Casimir Zo-Bi;Daniel S. Maynard;Thomas W. Crowther - 通讯作者:
Thomas W. Crowther
Cory Merow的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Cory Merow', 18)}}的其他基金
Collaborative Research: ORCC: Integrated mechanistic predictions of ecological and evolutionary responses to increasing aridity across the range of an iconic species
合作研究:ORCC:对标志性物种范围内日益干旱的生态和进化反应的综合机制预测
- 批准号:
2307793 - 财政年份:2023
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: BoCP-Implementation: BioFI- Biodiversity Forecasting Initiative to Understand Population, Community and Ecosystem Function Under Global Change
合作研究:BoCP-实施:BioFI-生物多样性预测倡议,以了解全球变化下的人口、社区和生态系统功能
- 批准号:
2225078 - 财政年份:2022
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: Near Term Forecasts of Global Plant Distribution, Community Structure, and Ecosystem Function
合作研究:全球植物分布、群落结构和生态系统功能的近期预测
- 批准号:
1934712 - 财政年份:2019
- 资助金额:
$ 18.47万 - 项目类别:
Continuing Grant
Collaborative Research: ABI Development: Creating a generic workflow for scaling up the production of species ranges
合作研究:ABI 开发:创建扩大物种范围生产的通用工作流程
- 批准号:
1913673 - 财政年份:2018
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Development: Creating a generic workflow for scaling up the production of species ranges
合作研究:ABI 开发:创建扩大物种范围生产的通用工作流程
- 批准号:
1660000 - 财政年份:2016
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: Sustainable ABI: Arctos Sustainability
合作研究:可持续 ABI:Arctos 可持续性
- 批准号:
2034568 - 财政年份:2021
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Innovation: FuTRES, an Ontology-Based Functional Trait Resource for Paleo- and Neo-biologists
合作研究:ABI 创新:FuTRES,为古生物学家和新生物学家提供的基于本体的功能性状资源
- 批准号:
2201182 - 财政年份:2021
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Development: Symbiota2: Enabling greater collaboration and flexibility for mobilizing biodiversity data
协作研究:ABI 开发:Symbiota2:为调动生物多样性数据提供更大的协作和灵活性
- 批准号:
2209978 - 财政年份:2021
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Innovation: Towards Computational Exploration of Large-Scale Neuro-Morphological Datasets
合作研究:ABI 创新:大规模神经形态数据集的计算探索
- 批准号:
2028361 - 财政年份:2020
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Innovation: Enabling machine-actionable semantics for comparative analyses of trait evolution
合作研究:ABI 创新:启用机器可操作的语义以进行特征进化的比较分析
- 批准号:
2048296 - 财政年份:2020
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Development: Integrated platforms for protein structure and function predictions
合作研究:ABI开发:蛋白质结构和功能预测的集成平台
- 批准号:
2021734 - 财政年份:2020
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Innovation: Biofilm Resource and Information Database (BRaID): A Tool to Fuse Diverse Biofilm Data Types
合作研究:ABI 创新:生物膜资源和信息数据库 (BRaID):融合多种生物膜数据类型的工具
- 批准号:
2027203 - 财政年份:2019
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Development: Building a Pipeline for Validation, Curation and Archiving of Integrative/Hybrid Models
合作研究:ABI 开发:构建集成/混合模型的验证、管理和归档管道
- 批准号:
1756250 - 财政年份:2018
- 资助金额:
$ 18.47万 - 项目类别:
Continuing Grant
Collaborative Research: ABI Development: The next stage in protein-protein docking
合作研究:ABI 开发:蛋白质-蛋白质对接的下一阶段
- 批准号:
1759472 - 财政年份:2018
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant
Collaborative Research: ABI Innovation: Quantifying biogeographic history: a novel model-based approach to integrating data from genes, fossils, specimens, and environments
合作研究:ABI 创新:量化生物地理历史:一种基于模型的新颖方法来整合来自基因、化石、标本和环境的数据
- 批准号:
1759729 - 财政年份:2018
- 资助金额:
$ 18.47万 - 项目类别:
Standard Grant