cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10287448
title: Dataset from : Unsteady Analysis of a Pulsating Alternate Flow Pattern in a Radial Vaned Diffuser.
DOI: 10.5281/zenodo.10287449
title: Dataset from : Unsteady Analysis of a Pulsating Alternate Flow Pattern in a Radial Vaned Diffuser.
DOI: 10.26138/sxs:bbh:0572v1.5
title: Binary black-hole simulation SXS:BBH:0572
DOI: 10.17630/beac8dda-dbf3-4f17-9b3e-260d1a0fde92
title: Spontaneous social tool use in a chimpanzee (dataset)
DOI: 10.26138/sxs:bbh:0573v1.2
title: Binary black-hole simulation SXS:BBH:0573
DOI: 10.26138/sxs:bbh:0573v1.3
title: Binary black-hole simulation SXS:BBH:0573
DOI: 10.26138/sxs:bbh:0573v1.4
title: Binary black-hole simulation SXS:BBH:0573
DOI: 10.26138/sxs:bbh:0573v1.5
title: Binary black-hole simulation SXS:BBH:0573
DOI: 10.26138/sxs:bbh:0574v1.2
title: Binary black-hole simulation SXS:BBH:0574
DOI: 10.26138/sxs:bbh:0574v1.3
title: Binary black-hole simulation SXS:BBH:0574
DOI: 10.26138/sxs:bbh:0574v1.4
title: Binary black-hole simulation SXS:BBH:0574
DOI: 10.26138/sxs:bbh:0574v1.5
title: Binary black-hole simulation SXS:BBH:0574
DOI: 10.26138/sxs:bbh:0575v1.2
title: Binary black-hole simulation SXS:BBH:0575
DOI: 10.26138/sxs:bbh:0575v1.3
title: Binary black-hole simulation SXS:BBH:0575
DOI: 10.26138/sxs:bbh:0575v1.4
title: Binary black-hole simulation SXS:BBH:0575
DOI: 10.26138/sxs:bbh:0575v1.5
title: Binary black-hole simulation SXS:BBH:0575
DOI: 10.26138/sxs:bbh:0576v1.2
title: Binary black-hole simulation SXS:BBH:0576
DOI: 10.26138/sxs:bbh:0576v1.3
title: Binary black-hole simulation SXS:BBH:0576
DOI: 10.26138/sxs:bbh:0576v1.4
title: Binary black-hole simulation SXS:BBH:0576
DOI: 10.26138/sxs:bbh:0576v1.5
title: Binary black-hole simulation SXS:BBH:0576
DOI: 10.26138/sxs:bbh:0577v1.2
title: Binary black-hole simulation SXS:BBH:0577
DOI: 10.26138/sxs:bbh:0577v1.3
title: Binary black-hole simulation SXS:BBH:0577
DOI: 10.26138/sxs:bbh:0577v1.4
title: Binary black-hole simulation SXS:BBH:0577
DOI: 10.26138/sxs:bbh:0577v1.5
title: Binary black-hole simulation SXS:BBH:0577
DOI: 10.26138/sxs:bbh:0578v1.2
title: Binary black-hole simulation SXS:BBH:0578
DOI: 10.26138/sxs:bbh:0578v1.3
title: Binary black-hole simulation SXS:BBH:0578
DOI: 10.26138/sxs:bbh:0578v1.4
title: Binary black-hole simulation SXS:BBH:0578
DOI: 10.26138/sxs:bbh:0578v1.5
title: Binary black-hole simulation SXS:BBH:0578
DOI: 10.26138/sxs:bbh:0579v1.2
title: Binary black-hole simulation SXS:BBH:0579
DOI: 10.26138/sxs:bbh:0579v1.3
title: Binary black-hole simulation SXS:BBH:0579
DOI: 10.26138/sxs:bbh:0579v1.4
title: Binary black-hole simulation SXS:BBH:0579
DOI: 10.26138/sxs:bbh:0579v1.5
title: Binary black-hole simulation SXS:BBH:0579
DOI: 10.26138/sxs:bbh:0580v1.2
title: Binary black-hole simulation SXS:BBH:0580
DOI: 10.26138/sxs:bbh:0580v1.3
title: Binary black-hole simulation SXS:BBH:0580
DOI: 10.26138/sxs:bbh:0580v1.4
title: Binary black-hole simulation SXS:BBH:0580
DOI: 10.26138/sxs:bbh:0580v1.5
title: Binary black-hole simulation SXS:BBH:0580
DOI: 10.26138/sxs:bbh:0581v1.2
title: Binary black-hole simulation SXS:BBH:0581
DOI: 10.26138/sxs:bbh:0581v1.3
title: Binary black-hole simulation SXS:BBH:0581
DOI: 10.26138/sxs:bbh:0581v1.4
title: Binary black-hole simulation SXS:BBH:0581
DOI: 10.26138/sxs:bbh:0581v1.5
title: Binary black-hole simulation SXS:BBH:0581
DOI: 10.26138/sxs:bbh:0582v1.2
title: Binary black-hole simulation SXS:BBH:0582
DOI: 10.26138/sxs:bbh:0582v1.3
title: Binary black-hole simulation SXS:BBH:0582
DOI: 10.26138/sxs:bbh:0582v1.4
title: Binary black-hole simulation SXS:BBH:0582
DOI: 10.26138/sxs:bbh:0582v1.5
title: Binary black-hole simulation SXS:BBH:0582
DOI: 10.26138/sxs:bbh:0583v1.2
title: Binary black-hole simulation SXS:BBH:0583
DOI: 10.26138/sxs:bbh:0583v1.3
title: Binary black-hole simulation SXS:BBH:0583
DOI: 10.26138/sxs:bbh:0583v1.4
title: Binary black-hole simulation SXS:BBH:0583
DOI: 10.26138/sxs:bbh:0583v1.5
title: Binary black-hole simulation SXS:BBH:0583
DOI: 10.6073/pasta/d372001534cc360f30445012522941e4
title: Impacts of Nutrient Availability on Calystegia Spithamaea at Harvard Forest 2013

description: Low bindweed (Calystegia spithamaea (L.) Pursh ssp. spithamaea,
 Convolvulaceae), is a low-growing perennial plant of the morning glory family
 that ranges from Georgia north to Nova Scotia. It is recorded from 3 extant and
 8 historic stations in Massachusetts, and 18 total extant populations across New
 England, where it inhabits dry, open sites with sandy to rocky soils, including
 sandy roadsides and path edges, inland sandplains, power line rights-of-way,
 loose talus slopes, and gravel pits. Massachusetts lists the species as S1,
 Endangered. Factors promoting reproduction in this rare species are largely
 unknown. Although Calystegia spithamaea has been noted to produce short
 rhizomes, its ability to spread vegetatively had not been determined as of 2013.
 Sexual reproduction is very rare in extant New England populations; although
 herbarium specimens show flowers, fruits are rare and seeds have not been
 collected at any population.
 Field studies have been conducted since 2007 of a population of several
 thousand ramets of Calystegia spithamaea in a minimally managed field on the
 Army Corps of Engineers Birch Hill Dam property, Royalston, Massachusetts. The
 population occurs on excessively drained, sandy loam, which supports otherwise
 low plant diversity and appears to be nutrient-poor. We tested the hypothesis
 that nutrient limitation may hinder sexual reproduction and ramet growth in this
 species.
 From May to August 2013, a greenhouse study was conducted at Harvard Forest to
 determine the effects of nutrient availability on Calystegia spithamaea growth
 and reproduction: Ramets were excavated from the field and were found to be
 propagating on long rhizomes, confirming for the first time that the species is
 capable of at least limited asexual reproduction. Forty-eight ramets of
 Calystegia spithamaea were planted in pots in the greenhouse and randomly
 allocated to one of two treatments: control and nutrient-amendment with 20:20:20
 N:P:K fertilizer. Five ramets from a newly-discovered population of Calystegia
 were also planted in the greenhouse in June and maintained under control
 conditions.
 Ramets grown in the greenhouse and receiving N:P:K nutrient amendments showed
 significantly higher relative growth rates than control plants from Birch Hill
 (but not Montague), but did not differ in leaf production, average leaf area, or
 specific leaf area from control plants of either the Birch Hill or the Montague
 populations. However, four nutrient-amended plants flowered, whereas control
 plants did not, and herbivore damage was significantly lower on nutrient-amended
 plants relative to controls.
 Conclusions: Nutrient amendments had few significant effects on growth, but
 may have triggered flowering and promoted herbivore defense by Calystegia
 spithamaea.
DOI: 10.26138/sxs:bbh:0584v1.2
title: Binary black-hole simulation SXS:BBH:0584
DOI: 10.26138/sxs:bbh:0584v1.3
title: Binary black-hole simulation SXS:BBH:0584
DOI: 10.26138/sxs:bbh:0584v1.4
title: Binary black-hole simulation SXS:BBH:0584
DOI: 10.26138/sxs:bbh:0584v1.5
title: Binary black-hole simulation SXS:BBH:0584
DOI: 10.26138/sxs:bbh:0585v1.2
title: Binary black-hole simulation SXS:BBH:0585
DOI: 10.26138/sxs:bbh:0585v1.3
title: Binary black-hole simulation SXS:BBH:0585
DOI: 10.26138/sxs:bbh:0585v1.4
title: Binary black-hole simulation SXS:BBH:0585
DOI: 10.26138/sxs:bbh:0585v1.5
title: Binary black-hole simulation SXS:BBH:0585
DOI: 10.26138/sxs:bbh:0586v1.2
title: Binary black-hole simulation SXS:BBH:0586
DOI: 10.26138/sxs:bbh:0586v1.3
title: Binary black-hole simulation SXS:BBH:0586
DOI: 10.26138/sxs:bbh:0586v1.4
title: Binary black-hole simulation SXS:BBH:0586
DOI: 10.26138/sxs:bbh:0586v1.5
title: Binary black-hole simulation SXS:BBH:0586
DOI: 10.26138/sxs:bbh:0587v1.2
title: Binary black-hole simulation SXS:BBH:0587
DOI: 10.26138/sxs:bbh:0587v1.3
title: Binary black-hole simulation SXS:BBH:0587
DOI: 10.26138/sxs:bbh:0587v1.4
title: Binary black-hole simulation SXS:BBH:0587
DOI: 10.26138/sxs:bbh:0587v1.5
title: Binary black-hole simulation SXS:BBH:0587
DOI: 10.26138/sxs:bbh:0588v1.2
title: Binary black-hole simulation SXS:BBH:0588
DOI: 10.26138/sxs:bbh:0588v1.3
title: Binary black-hole simulation SXS:BBH:0588
DOI: 10.26138/sxs:bbh:0588v1.4
title: Binary black-hole simulation SXS:BBH:0588
DOI: 10.26138/sxs:bbh:0588v1.5
title: Binary black-hole simulation SXS:BBH:0588
DOI: 10.26138/sxs:bbh:0589v1.2
title: Binary black-hole simulation SXS:BBH:0589
DOI: 10.26138/sxs:bbh:0589v1.3
title: Binary black-hole simulation SXS:BBH:0589
DOI: 10.26138/sxs:bbh:0589v1.4
title: Binary black-hole simulation SXS:BBH:0589
DOI: 10.26138/sxs:bbh:0589v1.5
title: Binary black-hole simulation SXS:BBH:0589
DOI: 10.26138/sxs:bbh:0590v1.2
title: Binary black-hole simulation SXS:BBH:0590
DOI: 10.26138/sxs:bbh:0590v1.3
title: Binary black-hole simulation SXS:BBH:0590
DOI: 10.26138/sxs:bbh:0590v1.4
title: Binary black-hole simulation SXS:BBH:0590
DOI: 10.26138/sxs:bbh:0590v1.5
title: Binary black-hole simulation SXS:BBH:0590
DOI: 10.26138/sxs:bbh:0591v1.2
title: Binary black-hole simulation SXS:BBH:0591
DOI: 10.26138/sxs:bbh:0591v1.3
title: Binary black-hole simulation SXS:BBH:0591
DOI: 10.26138/sxs:bbh:0591v1.4
title: Binary black-hole simulation SXS:BBH:0591
DOI: 10.26138/sxs:bbh:0591v1.5
title: Binary black-hole simulation SXS:BBH:0591
DOI: 10.26138/sxs:bbh:0592v1.2
title: Binary black-hole simulation SXS:BBH:0592
DOI: 10.26138/sxs:bbh:0592v1.3
title: Binary black-hole simulation SXS:BBH:0592
DOI: 10.26138/sxs:bbh:0592v1.4
title: Binary black-hole simulation SXS:BBH:0592
DOI: 10.26138/sxs:bbh:0592v1.5
title: Binary black-hole simulation SXS:BBH:0592
DOI: 10.26138/sxs:bbh:0593v1.2
title: Binary black-hole simulation SXS:BBH:0593
DOI: 10.26138/sxs:bbh:0593v1.3
title: Binary black-hole simulation SXS:BBH:0593
DOI: 10.26138/sxs:bbh:0593v1.4
title: Binary black-hole simulation SXS:BBH:0593
DOI: 10.26138/sxs:bbh:0593v1.5
title: Binary black-hole simulation SXS:BBH:0593
DOI: 10.26138/sxs:bbh:0594v1.2
title: Binary black-hole simulation SXS:BBH:0594
DOI: 10.26138/sxs:bbh:0594v1.3
title: Binary black-hole simulation SXS:BBH:0594
DOI: 10.26138/sxs:bbh:0594v1.4
title: Binary black-hole simulation SXS:BBH:0594
DOI: 10.26138/sxs:bbh:0594v1.5
title: Binary black-hole simulation SXS:BBH:0594
DOI: 10.26138/sxs:bbh:0595v1.2
title: Binary black-hole simulation SXS:BBH:0595
DOI: 10.26138/sxs:bbh:0595v1.3
title: Binary black-hole simulation SXS:BBH:0595
DOI: 10.26138/sxs:bbh:0595v1.4
title: Binary black-hole simulation SXS:BBH:0595
DOI: 10.26138/sxs:bbh:0595v1.5
title: Binary black-hole simulation SXS:BBH:0595
DOI: 10.26138/sxs:bbh:0596v1.2
title: Binary black-hole simulation SXS:BBH:0596
DOI: 10.26138/sxs:bbh:0596v1.3
title: Binary black-hole simulation SXS:BBH:0596
DOI: 10.26138/sxs:bbh:0596v1.4
title: Binary black-hole simulation SXS:BBH:0596
DOI: 10.26138/sxs:bbh:0596v1.5
title: Binary black-hole simulation SXS:BBH:0596
DOI: 10.26138/sxs:bbh:0597v1.2
title: Binary black-hole simulation SXS:BBH:0597
DOI: 10.26138/sxs:bbh:0597v1.3
title: Binary black-hole simulation SXS:BBH:0597
DOI: 10.26138/sxs:bbh:0597v1.4
title: Binary black-hole simulation SXS:BBH:0597
DOI: 10.26138/sxs:bbh:0597v1.5
title: Binary black-hole simulation SXS:BBH:0597
DOI: 10.26138/sxs:bbh:0598v1.2
title: Binary black-hole simulation SXS:BBH:0598
DOI: 10.26138/sxs:bbh:0598v1.3
title: Binary black-hole simulation SXS:BBH:0598
DOI: 10.26138/sxs:bbh:0598v1.4
title: Binary black-hole simulation SXS:BBH:0598
DOI: 10.26138/sxs:bbh:0598v1.5
title: Binary black-hole simulation SXS:BBH:0598
DOI: 10.26138/sxs:bbh:0599v1.2
title: Binary black-hole simulation SXS:BBH:0599
DOI: 10.26138/sxs:bbh:0599v1.3
title: Binary black-hole simulation SXS:BBH:0599
DOI: 10.26138/sxs:bbh:0599v1.4
title: Binary black-hole simulation SXS:BBH:0599
DOI: 10.6073/pasta/71ac00715a44676c2611734f97858258
title: Growth Rates of Xanthoparmelia Lichens in North Cemetery, Petersham MA since 2005

description: Lichens fix carbon dioxide from the air to build biomass. Crustose and foliose lichens grow as nearly flat, circular disks. While smaller lichens grow slowly, but with small, steady increases in radial growth rates, larger lichens grow more quickly, with radial velocities that remain roughly constant over the lifetime of an individual. These basic features follow directly from a novel mathematical model based on the diffusion of carbon dioxide around a lichen, and its absorption by the thallus. Smaller lichens fix carbon dioxide across the entire thallus, but larger lichens fix carbon dioxide disproportionately at edges. Because local edges remain the primary source of carbon as a lichen grows ever larger, radial growth rates remain constant. Predicted growth dynamics depend on four measurable parameters, and tests of the model against data suggest the model provides an accurate, robust, and universal framework for understanding the growth dynamics of lichens in nature.
DOI: 10.26138/sxs:bbh:0599v1.5
title: Binary black-hole simulation SXS:BBH:0599
DOI: 10.26138/sxs:bbh:0600v1.2
title: Binary black-hole simulation SXS:BBH:0600
DOI: 10.26138/sxs:bbh:0600v1.3
title: Binary black-hole simulation SXS:BBH:0600
DOI: 10.26138/sxs:bbh:0600v1.4
title: Binary black-hole simulation SXS:BBH:0600
DOI: 10.26138/sxs:bbh:0600v1.5
title: Binary black-hole simulation SXS:BBH:0600
DOI: 10.26138/sxs:bbh:0601v1.2
title: Binary black-hole simulation SXS:BBH:0601
DOI: 10.26138/sxs:bbh:0601v1.3
title: Binary black-hole simulation SXS:BBH:0601
DOI: 10.26138/sxs:bbh:0601v1.4
title: Binary black-hole simulation SXS:BBH:0601
DOI: 10.26138/sxs:bbh:0601v1.5
title: Binary black-hole simulation SXS:BBH:0601
DOI: 10.26138/sxs:bbh:0602v1.2
title: Binary black-hole simulation SXS:BBH:0602
DOI: 10.26138/sxs:bbh:0602v1.3
title: Binary black-hole simulation SXS:BBH:0602
DOI: 10.26138/sxs:bbh:0602v1.4
title: Binary black-hole simulation SXS:BBH:0602
DOI: 10.26138/sxs:bbh:0602v1.5
title: Binary black-hole simulation SXS:BBH:0602
DOI: 10.26138/sxs:bbh:0603v1.2
title: Binary black-hole simulation SXS:BBH:0603
DOI: 10.26138/sxs:bbh:0603v1.3
title: Binary black-hole simulation SXS:BBH:0603
DOI: 10.26138/sxs:bbh:0603v1.4
title: Binary black-hole simulation SXS:BBH:0603
DOI: 10.26138/sxs:bbh:0603v1.5
title: Binary black-hole simulation SXS:BBH:0603
DOI: 10.26138/sxs:bbh:0604v1.2
title: Binary black-hole simulation SXS:BBH:0604
DOI: 10.26138/sxs:bbh:0604v1.3
title: Binary black-hole simulation SXS:BBH:0604
DOI: 10.26138/sxs:bbh:0604v1.4
title: Binary black-hole simulation SXS:BBH:0604
DOI: 10.26138/sxs:bbh:0604v1.5
title: Binary black-hole simulation SXS:BBH:0604
DOI: 10.26138/sxs:bbh:0605v1.2
title: Binary black-hole simulation SXS:BBH:0605
DOI: 10.26138/sxs:bbh:0605v1.3
title: Binary black-hole simulation SXS:BBH:0605
DOI: 10.26138/sxs:bbh:0605v1.4
title: Binary black-hole simulation SXS:BBH:0605
DOI: 10.26138/sxs:bbh:0605v1.5
title: Binary black-hole simulation SXS:BBH:0605
DOI: 10.26138/sxs:bbh:0606v1.2
title: Binary black-hole simulation SXS:BBH:0606
DOI: 10.26138/sxs:bbh:0606v1.3
title: Binary black-hole simulation SXS:BBH:0606
DOI: 10.26138/sxs:bbh:0606v1.4
title: Binary black-hole simulation SXS:BBH:0606
DOI: 10.26138/sxs:bbh:0606v1.5
title: Binary black-hole simulation SXS:BBH:0606
DOI: 10.26138/sxs:bbh:0607v1.2
title: Binary black-hole simulation SXS:BBH:0607
DOI: 10.26138/sxs:bbh:0607v1.3
title: Binary black-hole simulation SXS:BBH:0607
DOI: 10.26138/sxs:bbh:0607v1.4
title: Binary black-hole simulation SXS:BBH:0607
DOI: 10.26138/sxs:bbh:0607v1.5
title: Binary black-hole simulation SXS:BBH:0607
DOI: 10.26138/sxs:bbh:0608v1.2
title: Binary black-hole simulation SXS:BBH:0608
DOI: 10.26138/sxs:bbh:0608v1.3
title: Binary black-hole simulation SXS:BBH:0608
DOI: 10.26138/sxs:bbh:0608v1.4
title: Binary black-hole simulation SXS:BBH:0608
DOI: 10.26138/sxs:bbh:0608v1.5
title: Binary black-hole simulation SXS:BBH:0608
DOI: 10.26138/sxs:bbh:0609v1.2
title: Binary black-hole simulation SXS:BBH:0609
DOI: 10.26138/sxs:bbh:0609v1.3
title: Binary black-hole simulation SXS:BBH:0609
DOI: 10.26138/sxs:bbh:0609v1.4
title: Binary black-hole simulation SXS:BBH:0609
DOI: 10.26138/sxs:bbh:0609v1.5
title: Binary black-hole simulation SXS:BBH:0609
DOI: 10.26138/sxs:bbh:0622v1.2
title: Binary black-hole simulation SXS:BBH:0622
DOI: 10.26138/sxs:bbh:0622v1.3
title: Binary black-hole simulation SXS:BBH:0622
DOI: 10.26138/sxs:bbh:0622v1.4
title: Binary black-hole simulation SXS:BBH:0622
DOI: 10.26138/sxs:bbh:0622v1.5
title: Binary black-hole simulation SXS:BBH:0622
DOI: 10.26138/sxs:bbh:0623v1.2
title: Binary black-hole simulation SXS:BBH:0623
DOI: 10.26138/sxs:bbh:0623v1.3
title: Binary black-hole simulation SXS:BBH:0623
DOI: 10.26138/sxs:bbh:0623v1.4
title: Binary black-hole simulation SXS:BBH:0623
DOI: 10.26138/sxs:bbh:0623v1.5
title: Binary black-hole simulation SXS:BBH:0623
DOI: 10.26138/sxs:bbh:0624v1.2
title: Binary black-hole simulation SXS:BBH:0624
DOI: 10.26138/sxs:bbh:0624v1.3
title: Binary black-hole simulation SXS:BBH:0624
DOI: 10.26138/sxs:bbh:0624v1.4
title: Binary black-hole simulation SXS:BBH:0624
DOI: 10.26138/sxs:bbh:0624v1.5
title: Binary black-hole simulation SXS:BBH:0624
DOI: 10.26138/sxs:bbh:0625v1.2
title: Binary black-hole simulation SXS:BBH:0625
DOI: 10.26138/sxs:bbh:0625v1.3
title: Binary black-hole simulation SXS:BBH:0625
DOI: 10.26138/sxs:bbh:0625v1.4
title: Binary black-hole simulation SXS:BBH:0625
DOI: 10.26138/sxs:bbh:0625v1.5
title: Binary black-hole simulation SXS:BBH:0625
DOI: 10.26138/sxs:bbh:0626v1.2
title: Binary black-hole simulation SXS:BBH:0626
DOI: 10.26138/sxs:bbh:0626v1.3
title: Binary black-hole simulation SXS:BBH:0626
DOI: 10.26138/sxs:bbh:0626v1.4
title: Binary black-hole simulation SXS:BBH:0626
DOI: 10.26138/sxs:bbh:0626v1.5
title: Binary black-hole simulation SXS:BBH:0626
DOI: 10.26138/sxs:bbh:0627v1.2
title: Binary black-hole simulation SXS:BBH:0627
DOI: 10.26138/sxs:bbh:0627v1.3
title: Binary black-hole simulation SXS:BBH:0627
DOI: 10.26138/sxs:bbh:0627v1.4
title: Binary black-hole simulation SXS:BBH:0627
DOI: 10.26138/sxs:bbh:0627v1.5
title: Binary black-hole simulation SXS:BBH:0627
DOI: 10.6073/pasta/c84da3ceaa34323a8f7d99db8eedd0cc
title: Litter Decomposition in Response to Nitrogen Addition and Soil Warming at Harvard Forest 2010-2012

description: The purpose of this study is to examine whether two environmental change
 stressors (warming and nitrogen deposition) differentially impact litter
 decomposition. We investigated this using a two year litterbag decomposition
 experiment at the chronic N amendment experiment and the Barre Woods Soil
 warming experiment, and measured litter decay dynamics, enzyme activities and
 litter chemistry.
 In both years mass loss of the mixed litter was suppressed under N addition,
 with most of the mass loss observed in the first year compared to the second
 year (70% and 30% of total mass loss, respectively). Both years showed either
 increased activity for some hydrolytic enzymes (e.g. cellobiohydrolase) or no
 difference (e.g. ß-N-acetylglucosaminidase) with increased N. The lignolytic
 enzymes (e.g. peroxidases) showed no difference in activity in the first year,
 but had a highly reduced activity in year 2 under elevated N conditions. Soil
 warming did not significantly affect litter mass loss, and only had an effect on
 the activity of a few enzymes.
 In the oak reciprocal litterbag study, decay of oak litter originating from
 the highest N addition plot was negatively affected by simulated N deposition in
 the first year of decomposition, while after two years, simulated N deposition
 negatively affected all litter, and litter originating from the highest N
 addition plot decayed more slowly than control litter even without added N (i.e.
 in the control plot). In addition, in the first year of decomposition lignolytic
 enzyme activities were suppressed in litter originating from the N addition
 treatments, but due to simulated N deposition in year two.
DOI: 10.26138/sxs:bbh:0628v1.2
title: Binary black-hole simulation SXS:BBH:0628
DOI: 10.26138/sxs:bbh:0628v1.3
title: Binary black-hole simulation SXS:BBH:0628
DOI: 10.26138/sxs:bbh:0628v1.4
title: Binary black-hole simulation SXS:BBH:0628
DOI: 10.26138/sxs:bbh:0628v1.5
title: Binary black-hole simulation SXS:BBH:0628
DOI: 10.26138/sxs:bbh:0629v1.2
title: Binary black-hole simulation SXS:BBH:0629
DOI: 10.26138/sxs:bbh:0629v1.3
title: Binary black-hole simulation SXS:BBH:0629
DOI: 10.26138/sxs:bbh:0629v1.4
title: Binary black-hole simulation SXS:BBH:0629
DOI: 10.26138/sxs:bbh:0629v1.5
title: Binary black-hole simulation SXS:BBH:0629
DOI: 10.26138/sxs:bbh:0630v1.2
title: Binary black-hole simulation SXS:BBH:0630
DOI: 10.15156/bio/sh2678048.08fu
title: SH2678048.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2678049.08fu
title: SH2678049.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1987547.08fu
title: SH1987547.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.