6 research outputs found

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Mechanosensitivity of gramicidin A channels in bulged bilayer membranes at constant tension

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    Mechanoelectrical transduction in gramicidin A channels was studied in macroscopic planar lipid bilayer membranes bulged at constant tension. We found a supralinear increase in the single channel activity that was proportional to the square of membrane radius, but could not be accounted for by the increase in membrane surface area, or by recruitment of new channels. Extrapolated to biological membranes, these observations may suggest that the permeability of ion channels can be influenced simply by changing shape of the membrane, with or without stretching. © Nauka/Interperiodica 2006.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study

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    377siBackground: Patient factors associated with urinary tract cancer can be used to risk stratify patients referred with haematuria, prioritising those with a higher risk of cancer for prompt investigation. Objective: To develop a prediction model for urinary tract cancer in patients referred with haematuria. Design, setting, and participants: A prospective observational study was conducted in 10 282 patients from 110 hospitals across 26 countries, aged ≥16 yr and referred to secondary care with haematuria. Patients with a known or previous urological malignancy were excluded. Outcome measurements and statistical analysis: The primary outcomes were the presence or absence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC], and renal cancer). Mixed-effect multivariable logistic regression was performed with site and country as random effects and clinically important patient-level candidate predictors, chosen a priori, as fixed effects. Predictors were selected primarily using clinical reasoning, in addition to backward stepwise selection. Calibration and discrimination were calculated, and bootstrap validation was performed to calculate optimism. Results and limitations: The unadjusted prevalence was 17.2% (n = 1763) for bladder cancer, 1.20% (n = 123) for UTUC, and 1.00% (n = 103) for renal cancer. The final model included predictors of increased risk (visible haematuria, age, smoking history, male sex, and family history) and reduced risk (previous haematuria investigations, urinary tract infection, dysuria/suprapubic pain, anticoagulation, catheter use, and previous pelvic radiotherapy). The area under the receiver operating characteristic curve of the final model was 0.86 (95% confidence interval 0.85-0.87). The model is limited to patients without previous urological malignancy. Conclusions: This cancer prediction model is the first to consider established and novel urinary tract cancer diagnostic markers. It can be used in secondary care for risk stratifying patients and aid the clinician's decision-making process in prioritising patients for investigation. Patient summary: We have developed a tool that uses a person's characteristics to determine the risk of cancer if that person develops blood in the urine (haematuria). This can be used to help prioritise patients for further investigation.noneopenKhadhouri, Sinan; Gallagher, Kevin M.; MacKenzie, Kenneth R.; Shah, Taimur T.; Gao, Chuanyu; Moore, Sacha; Zimmermann, Eleanor F.; Edison, Eric; Jefferies, Matthew; Nambiar, Arjun; Anbarasan, Thineskrishna; Mannas, Miles P.; Lee, Taeweon; Marra, Giancarlo; Gómez Rivas, Juan; Marcq, Gautier; Assmus, Mark A.; Uçar, Taha; Claps, Francesco; Boltri, Matteo; La Montagna, Giuseppe; Burnhope, Tara; Nkwam, Nkwam; Austin, Tomas; Boxall, Nicholas E.; Downey, Alison P.; Sukhu, Troy A.; Antón-Juanilla, Marta; Rai, Sonpreet; Chin, Yew-Fung; Moore, Madeline; Drake, Tamsin; Green, James S.A.; Goulao, Beatriz; MacLennan, Graeme; Nielsen, Matthew; McGrath, John S.; Kasivisvanathan, Veeru; Chaudry, Aasem; Sharma, Abhishek; Bennett, Adam; Ahmad, Adnan; Abroaf, Ahmed; Suliman, Ahmed Musa; Lloyd, Aimee; McKay, Alastair; Wong, Albert; Silva, Alberto; Schneider, Alexandre; MacKay, Alison; Knight, Allen; Grigorakis, Alkiviadis; Bdesha, Amar; Nagle, Amy; Cebola, Ana; Dhanasekaran, Ananda Kumar; Kondža, Andraž; Barcelos, André; Galosi, Andrea Benedetto; Ebur, Andrea; Minervini, Andrea; Russell, Andrew; Webb, Andrew; de Jalón, Ángel García; Desai, Ankit; Czech, Anna Katarzyna; Mainwaring, Anna; Adimonye, Anthony; Das, Arighno; Figueiredo, Arnaldo; Villers, Arnauld; Leminski, Artur; Chippagiri, Arvinda; Lal, Asim Ahmed; Yıldırım, Asıf; Voulgaris, Athanasios Marios; Uzan, Audrey; Oo, Aye Moh Moh; Younis, Ayman; Zelhof, Bachar; Mukhtar, Bashir; Ayres, Ben; Challacombe, Ben; Sherwood, Benedict; Ristau, Benjamin; Lai, Billy; Nellensteijn, Brechtje; Schreiter, Brielle; Trombetta, Carlo; Dowling, Catherine; Hobbs, Catherine; Benitez, Cayo Augusto Estigarribia; Lebacle, Cédric; Ho, Cherrie Wing Yin; Ng, Chi-Fai; Mount, Chloe; Lam, Chon Meng; Blick, Chris; Brown, Christian; Gallegos, Christopher; Higgs, Claire; Browne, Clíodhna; McCann, Conor; Plaza Alonso, Cristina; Beder, Daniel; Cohen, Daniel; Gordon, Daniel; Wilby, Daniel; Gordon, Danny; Hrouda, David; Lau, David Hua Wu; Karsza, Dávid; Mak, David; Martin-Way, David; Suthaharan, Denula; Patel, Dhruv; Carrion, Diego M; Nyanhongo, Donald; Bass, Edward; Mains, Edward; Chau, Edwin; Canelon Castillo, Elba; Day, Elizabeth; Desouky, Elsayed; Gaines, Emily; Papworth, Emma; Yuruk, Emrah; Kilic, Enes; Dinneen, Eoin; Palagonia, Erika; Xylinas, Evanguelos; Khawaja, Faizan; Cimarra, Fernando; Bardet, Florian; Kum, Francesca; Peters, Francesca; Kovács, Gábor; Tanasescu, Geroge; Hellawell, Giles; Tasso, Giovanni; Lam, Gitte; La Montagna, Giuseppe; Pizzuto, Giuseppe; Lenart, Gordan; MacLennan, Graeme; Özgür, Günal; Bi, Hai; Lyons, Hannah; Warren, Hannah; Ahmed, Hashim; Simpson, Helen; Burden, Helena; Gresty, Helena; Rios Pita, Hernado; Clarke, Holly; Serag, Hosam; Kynaston, Howard; Crawford-Smith, Hugh; Mostafid, Hugh; Otaola-Arca, Hugo; Koo, Hui Fen; Ibrahim, Ibrahim; Ouzaid, Idir; Puche-Sanz, Ignacio; Tomašković, Igor; Tinay, Ilker; Sahibzada, Iqbal; Thangasamy, Isaac; Cadena, Iván Revelo; Irani, Jacques; Udzik, Jakub; Brittain, James; Catto, James; Green, James; Tweedle, James; Hernando, Jamie Borrego; Leask, Jamie; Kalsi, Jas; Frankel, Jason; Toniolo, Jason; Raman, Jay D.; Courcier, Jean; Kumaradeevan, Jeevan; Clark, Jennifer; Jones, Jennifer; Teoh, Jeremy Yuen-Chun; Iacovou, John; Kelly, John; Selph, John P.; Aning, Jonathan; Deeks, Jon; Cobley, Jonathan; Olivier, Jonathan; Maw, Jonny; Herranz-Yagüe, José Antonio; Nolazco, Jose Ignacio; Cózar-Olmo, Jose Manuel; Bagley, Joseph; Jelski, Joseph; Norris, Joseph; Testa, Joseph; Meeks, Joshua; Hernandez, Juan; Vásquez, Juan Luis; Randhawa, Karen; Dhera, Karishma; Gronostaj, Katarzyna; Houlton, Kathleen; Lehman, Kathleen; Gillams, Kathryn; Adasonla, Kelvin; Brown, Kevin; Murtagh, Kevin; Mistry, Kiki; Davenport, Kim; Kitamura, Kosuke; Derbyshire, Laura; Clarke, Laurence; Morton, Lawrie; Martinez, Levin; Goldsmith, Louise; Paramore, Louise; Cormier, Luc; Dell'Atti, Lucio; Simmons, Lucy; Martinez-Piñeiro, Luis; Rico, Luis; Chan, Luke; Forster, Luke; Ma, Lulin; Moore, Madeline; Gallego, Maria Camacho; Freire, Maria José; Emberton, Mark; Feneley, Mark; Antón-Juanilla, Marta; Rivero, Marta Viridiana Muñoz; Pirša, Matea; Tallè, Matteo; Crockett, Matthew; Liew, Matthew; Trail, Matthew; Peters, Max; Cooper, Meghan; Kulkarni, Meghana; Ager, Michael; He, Ming; Li, Mo; Omran Breish, Mohamed; Tarin, Mohamed; Aldiwani, Mohammed; Matanhelia, Mudit; Pasha, Muhammad; Akalın, Mustafa Kaan; Abdullah, Nasreen; Hale, Nathan; Gadiyar, Neha; Kocher, Neil; Bullock, Nicholas; Campain, Nicholas; Pavan, Nicola; Al-Ibraheem, Nihad; Bhatt, Nikita; Bedi, Nishant; Shrotri, Nitin; Lobo, Niyati; Balderas, Olga; Kouli, Omar; Capoun, Otakar; Oteo Manjavacas, Pablo; Gontero, Paolo; Mariappan, Paramananthan; Marchiñena, Patricio Garcia; Erotocritou, Paul; Sweeney, Paul; Planelles, Paula; Acher, Peter; Black, Peter C.; Osei-Bonsu, Peter K; Østergren, Peter; Smith, Peter; Willemse, Peter-Paul Michiel; Chlosta, Piotr L.; Ul Ain, Qurrat; Barratt, Rachel; Esler, Rachel; Khalid, Raihan; Hsu, Ray; Stamirowski, Remigiusz; Mangat, Reshma; Cruz, Ricardo; Ellis, Ricky; Adams, Robert; Hessell, Robert; Oomen, Robert J.A.; McConkey, Robert; Ritchie, Robert; Jarimba, Roberto; Chahal, Rohit; Andres, Rosado Mario; Hawkins, Rosalyn; David, Rotimi; Manecksha, Rustom P.; Agrawal, Sachin; Hamid, Syed Sami; Deem, Samuel; Goonewardene, Sanchia; Swami, Satchi Kuchibhotla; Hori, Satoshi; Khan, Shahid; Mohammud Inder, Shakeel; Sangaralingam, Shanthi; Marathe, Shekhar; Raveenthiran, Sheliyan; Horie, Shigeo; Sengupta, Shomik; Parson, Sian; Parker, Sidney; Hawlina, Simon; Williams, Simon; Mazzoli, Simone; Grzegorz Kata, Slawomir; Pinheiro Lopes, Sofia; Ramos, Sónia; Rai, Sonpreet; Rintoul-Hoad, Sophie; O'Meara, Sorcha; Morris, Steve; Turner, Stacey; Venturini, Stefano; Almpanis, Stephanos; Joniau, Steven; Jain, Sunjay; Mallett, Susan; Nikles, Sven; Shahzad, null; Yan, Sylvia; Lee, Taeweon; Uçar, Taha; Drake, Tamsin; Toma, Tarq; Cabañuz Plo, Teresa; Bonnin, Thierry; Muilwijk, Tim; Wollin, Tim; Chu, Timothy Shun Man; Appanna, Timson; Brophy, Tom; Ellul, Tom; Austin, Tomas; Smrkolj, Tomaž; Rowe, Tracey; Sukhu, Troy; Patel, Trushar; Garg, Tullika; Çaşkurlu, Turhan; Bele, Uros; Haroon, Usman; Crespo-Atín, Víctor; Parejo Cortes, Victor; Capapé Poves, Victoria; Gnanapragasam, Vincent; Gauhar, Vineet; During, Vinnie; Kumar, Vivek; Fiala, Vojtech; Mahmalji, Wasim; Lam, Wayne; Fung Chin, Yew; Filtekin, Yigit; Chyn Phan, Yih; Ibrahim, Youssed; Glaser, Zachary A; Abiddin, Zainal Adwin; Qin, Zijian; Zotter, Zsuzsanna; Zainuddin, ZulkifliKhadhouri, Sinan; Gallagher, Kevin M.; Mackenzie, Kenneth R.; Shah, Taimur T.; Gao, Chuanyu; Moore, Sacha; Zimmermann, Eleanor F.; Edison, Eric; Jefferies, Matthew; Nambiar, Arjun; Anbarasan, Thineskrishna; Mannas, Miles P.; Lee, Taeweon; Marra, Giancarlo; Gómez Rivas, Juan; Marcq, Gautier; Assmus, Mark A.; Uçar, Taha; Claps, Francesco; Boltri, Matteo; La Montagna, Giuseppe; Burnhope, Tara; Nkwam, Nkwam; Austin, Tomas; Boxall, Nicholas E.; Downey, Alison P.; Sukhu, Troy A.; Antón-Juanilla, Marta; Rai, Sonpreet; Chin, Yew-Fung; Moore, Madeline; Drake, Tamsin; Green, James S. A.; Goulao, Beatriz; Maclennan, Graeme; Nielsen, Matthew; Mcgrath, John S.; Kasivisvanathan, Veeru; Chaudry, Aasem; Sharma, Abhishek; Bennett, Adam; Ahmad, Adnan; Abroaf, Ahmed; Suliman, Ahmed Musa; Lloyd, Aimee; Mckay, Alastair; Wong, Albert; Silva, Alberto; Schneider, Alexandre; Mackay, Alison; Knight, Allen; Grigorakis, Alkiviadis; Bdesha, Amar; Nagle, Amy; Cebola, Ana; Dhanasekaran, Ananda Kumar; Kondža, Andraž; Barcelos, André; Galosi, Andrea Benedetto; Ebur, Andrea; Minervini, Andrea; Russell, Andrew; Webb, Andrew; de Jalón, Ángel García; Desai, Ankit; Czech, Anna Katarzyna; Mainwaring, Anna; Adimonye, Anthony; Das, Arighno; Figueiredo, Arnaldo; Villers, Arnauld; Leminski, Artur; Chippagiri, Arvinda; Lal, Asim Ahmed; Yıldırım, Asıf; Voulgaris, Athanasios Marios; Uzan, Audrey; Oo, Aye Moh Moh; Younis, Ayman; Zelhof, Bachar; Mukhtar, Bashir; Ayres, Ben; Challacombe, Ben; Sherwood, Benedict; Ristau, Benjamin; Lai, Billy; Nellensteijn, Brechtje; Schreiter, Brielle; Trombetta, Carlo; Dowling, Catherine; Hobbs, Catherine; Benitez, Cayo Augusto Estigarribia; Lebacle, Cédric; Ho, Cherrie Wing Yin; Ng, Chi-Fai; Mount, Chloe; Lam, Chon Meng; Blick, Chris; Brown, Christian; Gallegos, Christopher; Higgs, Claire; Browne, Clíodhna; Mccann, Conor; Plaza Alonso, Cristina; Beder, Daniel; Cohen, Daniel; Gordon, Daniel; Wilby, Daniel; Gordon, Danny; Hrouda, David; Lau, David Hua Wu; Karsza, Dávid; Mak, David; Martin-Way, David; Suthaharan, Denula; Patel, Dhruv; Carrion, Diego M; Nyanhongo, Donald; Bass, Edward; Mains, Edward; Chau, Edwin; Canelon Castillo, Elba; Day, Elizabeth; Desouky, Elsayed; Gaines, Emily; Papworth, Emma; Yuruk, Emrah; Kilic, Enes; Dinneen, Eoin; Palagonia, Erika; Xylinas, Evanguelos; Khawaja, Faizan; Cimarra, Fernando; Bardet, Florian; Kum, Francesca; Peters, Francesca; Kovács, Gábor; Tanasescu, Geroge; Hellawell, Giles; Tasso, Giovanni; Lam, Gitte; La Montagna, Giuseppe; Pizzuto, Giuseppe; Lenart, Gordan; Maclennan, Graeme; Özgür, Günal; Bi, Hai; Lyons, Hannah; Warren, Hannah; Ahmed, Hashim; Simpson, Helen; Burden, Helena; Gresty, Helena; Rios Pita, Hernado; Clarke, Holly; Serag, Hosam; Kynaston, Howard; Crawford-Smith, Hugh; Mostafid, Hugh; Otaola-Arca, Hugo; Koo, Hui Fen; Ibrahim, Ibrahim; Ouzaid, Idir; Puche-Sanz, Ignacio; Tomašković, Igor; Tinay, Ilker; Sahibzada, Iqbal; Thangasamy, Isaac; Cadena, Iván Revelo; Irani, Jacques; Udzik, Jakub; Brittain, James; Catto, James; Green, James; Tweedle, James; Hernando, Jamie Borrego; Leask, Jamie; Kalsi, Jas; Frankel, Jason; Toniolo, Jason; Raman, Jay D.; Courcier, Jean; Kumaradeevan, Jeevan; Clark, Jennifer; Jones, Jennifer; Teoh, Jeremy Yuen-Chun; Iacovou, John; Kelly, John; Selph, John P.; Aning, Jonathan; Deeks, Jon; Cobley, Jonathan; Olivier, Jonathan; Maw, Jonny; Herranz-Yagüe, José Antonio; Nolazco, Jose Ignacio; Cózar-Olmo, Jose Manuel; Bagley, Joseph; Jelski, Joseph; Norris, Joseph; Testa, Joseph; Meeks, Joshua; Hernandez, Juan; Vásquez, Juan Luis; Randhawa, Karen; Dhera, Karishma; Gronostaj, Katarzyna; Houlton, Kathleen; Lehman, Kathleen; Gillams, Kathryn; Adasonla, Kelvin; Brown, Kevin; Murtagh, Kevin; Mistry, Kiki; Davenport, Kim; Kitamura, Kosuke; Derbyshire, Laura; Clarke, Laurence; Morton, Lawrie; Martinez, Levin; Goldsmith, Louise; Paramore, Louise; Cormier, Luc; Dell'Atti, Lucio; Simmons, Lucy; Martinez-Piñeiro, Luis; Rico, Luis; Chan, Luke; Forster, Luke; Ma, Lulin; Moore, Madeline; Gallego, Maria Camacho; Freire, Maria José; Emberton, Mark; Feneley, Mark; Antón-Juanilla, Marta; Rivero, Marta Viridiana Muñoz; Pirša, Matea; Tallè, Matteo; Crockett, Matthew; Liew, Matthew; Trail, Matthew; Peters, Max; Cooper, Meghan; Kulkarni, Meghana; Ager, Michael; He, Ming; Li, Mo; Omran Breish, Mohamed; Tarin, Mohamed; Aldiwani, Mohammed; Matanhelia, Mudit; Pasha, Muhammad; Akalın, Mustafa Kaan; Abdullah, Nasreen; Hale, Nathan; Gadiyar, Neha; Kocher, Neil; Bullock, Nicholas; Campain, Nicholas; Pavan, Nicola; Al-Ibraheem, Nihad; Bhatt, Nikita; Bedi, Nishant; Shrotri, Nitin; Lobo, Niyati; Balderas, Olga; Kouli, Omar; Capoun, Otakar; Oteo Manjavacas, Pablo; Gontero, Paolo; Mariappan, Paramananthan; Marchiñena, Patricio Garcia; Erotocritou, Paul; Sweeney, Paul; Planelles, Paula; Acher, Peter; Black, Peter C.; Osei-Bonsu, Peter K; Østergren, Peter; Smith, Peter; Willemse, Peter-Paul Michiel; Chlosta, Piotr L.; Ul Ain, Qurrat; Barratt, Rachel; Esler, Rachel; Khalid, Raihan; Hsu, Ray; Stamirowski, Remigiusz; Mangat, Reshma; Cruz, Ricardo; Ellis, Ricky; Adams, Robert; Hessell, Robert; Oomen, Robert J. A.; Mcconkey, Robert; Ritchie, Robert; Jarimba, Roberto; Chahal, Rohit; Andres, Rosado Mario; Hawkins, Rosalyn; David, Rotimi; Manecksha, Rustom P.; Agrawal, Sachin; Hamid, Syed Sami; Deem, Samuel; Goonewardene, Sanchia; Swami, Satchi Kuchibhotla; Hori, Satoshi; Khan, Shahid; Mohammud Inder, Shakeel; Sangaralingam, Shanthi; Marathe, Shekhar; Raveenthiran, Sheliyan; Horie, Shigeo; Sengupta, Shomik; Parson, Sian; Parker, Sidney; Hawlina, Simon; Williams, Simon; Mazzoli, Simone; Grzegorz Kata, Slawomir; Pinheiro Lopes, Sofia; Ramos, Sónia; Rai, Sonpreet; Rintoul-Hoad, Sophie; O'Meara, Sorcha; Morris, Steve; Turner, Stacey; Venturini, Stefano; Almpanis, Stephanos; Joniau, Steven; Jain, Sunjay; Mallett, Susan; Nikles, Sven; Shahzad, Null; Yan, Sylvia; Lee, Taeweon; Uçar, Taha; Drake, Tamsin; Toma, Tarq; Cabañuz Plo, Teresa; Bonnin, Thierry; Muilwijk, Tim; Wollin, Tim; Chu, Timothy Shun Man; Appanna, Timson; Brophy, Tom; Ellul, Tom; Austin, Tomas; Smrkolj, Tomaž; Rowe, Tracey; Sukhu, Troy; Patel, Trushar; Garg, Tullika; Çaşkurlu, Turhan; Bele, Uros; Haroon, Usman; Crespo-Atín, Víctor; Parejo Cortes, Victor; Capapé Poves, Victoria; Gnanapragasam, Vincent; Gauhar, Vineet; During, Vinnie; Kumar, Vivek; Fiala, Vojtech; Mahmalji, Wasim; Lam, Wayne; Fung Chin, Yew; Filtekin, Yigit; Chyn Phan, Yih; Ibrahim, Youssed; Glaser, Zachary A; Abiddin, Zainal Adwin; Qin, Zijian; Zotter, Zsuzsanna; Zainuddin, Zulkifl

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    Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

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    International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora
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