cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1274726.09fu
title: SH1274726.09FU

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/sh1274727.09fu
title: SH1274727.09FU

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/sh1274728.09fu
title: SH1274728.09FU

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/sh1274729.09fu
title: SH1274729.09FU

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/sh1274730.09fu
title: SH1274730.09FU

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/sh1274731.09fu
title: SH1274731.09FU

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/sh1274732.09fu
title: SH1274732.09FU

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/sh1274733.09fu
title: SH1274733.09FU

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/sh1274734.09fu
title: SH1274734.09FU

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/sh1274735.09fu
title: SH1274735.09FU

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: 10.25901/jn4k-xc63
title: Cumberland Plain Wood Block Decomposition Data 2018
DOI: 10.25901/kgk8-k934
title: Boyagin Wandoo Woodland Wood Block Decomposition Data 2018
DOI: 10.25901/8ezn-sb98
title: Calperum Mallee Vegetation Species List Data, 2013
DOI: 10.25901/92vy-vv55
title: Samford Peri-Urban Seedling Survey Data 2012 - 2018
DOI: 10.25901/2ncy-0x89
title: Robson Creek Rainforest Vegetation Decomposition Tea Bag Index Data 2017
DOI: 10.25901/e8hj-yk50
title: Tumbarumba Wet Eucalypt Seedling Survey Data 2015
DOI: 10.25901/tvnd-wd46
title: Great Western Woodlands Vegetation Decomposition Tea Bag Index Data 2016
DOI: 10.25901/j1kw-ne52
title: Daly Pasture Flux Data Release 2022_v2
DOI: 10.25901/9z4a-wx71
title: Wombat Stringybark Eucalypt BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/j733-m261
title: Daintree Rainforest, Cape Tribulation Weather Station Data 2006 - 2014
DOI: 10.25901/w4d5-kr33
title: Mitchell Grass Rangeland Vegetation Structure Data, 2018
DOI: 10.25901/f9t5-mg10
title: Daintree Rainforest, Cape Tribulation Soil Characteristic Data 2006 - 2015
DOI: 10.25901/14c0-4587
title: Cumberland Plain Vegetation Species List Data, 2014
DOI: 10.25901/rxtc-th28
title: Tree survival, diameter, growth, recruitment and climatic data, Northern Queensland, Australia
DOI: 10.25901/34h3-v794
title: Warra Tall Eucalypt Soil Characteristic Data 2012
DOI: 10.25901/qqww-cz15
title: Williams Wet Tropics Vertebrate database
DOI: 10.4227/05/53b4d7c88a3df
title: Christmas Island National Park Robber Crab (Birgus latro) Road Kill Monitoring

description: The dataset contains records of robber crab mortality across Christmas Island, including location co-ordinates and details of sex and thoracic length.
DOI: 10.25901/k61f-yz90
title: The Photosynthetic Pathways of Plant Species surveyed in TERN Ecosystem Surveillance Plots
DOI: 10.25901/7zb8-fj05
title: Samford Peri-Urban Soil Characteristic Data 2013
DOI: 10.25901/jdgc-fs93
title: Samford Peri-Urban Vegetation Gentry Survey Data 2012 and 2017
DOI: 10.25901/ecwm-ve66
title: Warra Tall Eucalypt Vegetation Gentry Survey Data 2014
DOI: 10.25901/5e7ab81af0394
title: CosmOz - The Australian Cosmic-ray Soil Moisture Sensor Network
DOI: 10.4227/05/54d43b0cf12a1
title: Stream mesocosm experiment on benthic macroinvertebrate and algal communities

description: Two stream mesocosm experiments were conducted in the summer-autumn of 1996 and 1997 to distinguish the influence of fine sediment loads and nutrient concentrations on benthic macroinvertebrate and algal communities (P.E. Davies and L.S.Cook, unpubl. data). 11 biological variables were extracted from the results of this experiment and were standardised for the purpose of training neural networks that could be used to diagnose nutrient and fine sediment impacts in field surveys. The 11 variables were selected according to how well they correlated with the experimental treatment levels (high and low values of both nutrients and fine sediments). The 11 variables were: chlorophyll a (mg/m2), macroinvertebrate familial richness, total abundance, and the abundance of Oligochaeta, Leptoperla varia (Gripopterygidae), Nousia spp. (Leptophlebiidae), Austrophlebioides spp. (Leptophlebiidae), Orthocladiinae, Tanypodinae, Tipulidae and larval Scirtidae.  These taxa were abundant within and among the stream mesocosm communities and are common in a wide range of Tasmanian rivers. Values for each of 11 biological response variables were standardised by dividing by their average value observed in the experimental controls mesocosm samples from that year. See Magierowski RH, Read SM, Carter SJB, Warfe DM, Cook LS, Lefroy EC and Davies PE (under review). Inferring landscape-scale land-use impacts on rivers using data from mesocosm experiments and artificial neural networks. PLOS ONE.

Data licence: Australian Creative Commons Attribution Licence - see link for more information https://creativecommons.org/licenses/by/3.0/au/
DOI: 10.25901/4swc-rk80
title: Samford Peri-Urban BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/8bn2-5e42
title: Calperum Mallee BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/6xq5-2046
title: Alice Springs Mulga Flux Data Release 2022_v1
DOI: 10.25901/ztbt-xk50
title: Daintree Rainforest, Cape Tribulation BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/kjn8-gw46
title: Daintree Rainforest, Cape Tribulation Wood Block Decomposition Data 2019
DOI: 10.25901/5ec7b7ebd5ad0
title: Burnt Area and Approximate Day of Burn - MODIS, Australian algorithm
DOI: 10.25901/xs6z-n383
title: Great Western Woodlands Soil Characteristic Data 2012
DOI: 10.25901/nk0n-vd57
title: Arcturus Emerald Flux Data Release 2022_v1
DOI: 10.25901/5efeaa710d366
title: Nightly activity of wolf spiders from cameras and spotlighting in the Simpson Desert
DOI: 10.25901/fpsm-vz67
title: Daintree Rainforest, Cow Bay Soil Characteristic Data 2011 - 2014
DOI: 10.25901/rq15-5w60
title: Robson Creek Rainforest Soil Characteristic Data 2011 - 2014
DOI: 10.25901/r4cn-n541
title: Cow Bay Flux Data Release 2021_v1
DOI: 10.25901/b3qz-cp59
title: Fire Frequency - AVHRR, Australian algorithm, Australia coverage
DOI: 10.25901/s3dg-sd36
title: Alice Mulga Soil Characteristic Data 2013
DOI: 10.25901/1fqj-8w24
title: Red Dirt Melon Farm Flux Data Release 2021_v1
DOI: 10.25901/7jda-hn16
title: Fogg Dam Flux Data Release 2021_v1
DOI: 10.25901/yf8k-mg50
title: Samford Peri-Urban Wood Block Decomposition Data 2019
DOI: 10.25901/z7vp-ks33
title: Robson Creek Rainforest BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/mnjw-br95
title: Longreach Mitchell Grass Rangeland Flux Data Release 2021_v1
DOI: 10.25901/2d2m-cm91
title: Litchfield Flux Data Release 2021_v1
DOI: 10.25901/2gf5-ka05
title: Loxton Flux Data Release 2021_v1
DOI: 10.25901/9vkz-bx56
title: Howard Springs Flux Data Release 2021_v1
DOI: 10.25901/j7c4-xt31
title: Otway Flux Data Release 2021_v1
DOI: 10.25901/wtcr-yb47
title: Alice Mulga BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/axms-v573
title: Daly Uncleared Flux Data Release 2021_v1
DOI: 10.25901/h464-va92
title: Calperum Mallee Soil Characteristic Data 2012
DOI: 10.25901/bebp-7150
title: Great Western Woodlands Flux Data Release 2021_v1
DOI: 10.25901/tnsh-2511
title: Boyagin Flux Data Data Release 2022_v1
DOI: 10.25901/b020-nm39
title: Australia wide daily volumetric soil moisture estimates
DOI: 10.25901/azn7-r497
title: Dataset for soil nutrients in old field restoration
DOI: 10.25901/q3pd-dm90
title: Robson Creek Rainforest Water Chemistry Data 2013
DOI: 10.25901/tref-nk52
title: Ti Tree East Flux Data Release 2021_v1
DOI: 10.25901/vcrg-ys61
title: Unmanned Aircraft System Multispectral, Pansharpened and LWIR Orthomosaics, QUT Samford Ecological Research Facility
DOI: 10.25901/vzcq-aa96
title: Gingin Flux Data Release 2022_v1
DOI: 10.25901/xs5y-z598
title: Collie Flux Data Release 2022_v1
DOI: 10.25901/esrb-5609
title: Tumbarumba Flux Data Release 2022_v1
DOI: 10.25901/a95b-3524
title: Mitchell Grass Rangelands Vegetation Species List Data, 2022
DOI: 10.25901/4vqx-br96
title: Warra Tall Eucalypt Wildfire Chronosequence data
DOI: 10.25901/bq59-1406
title: Riggs Creek Flux Data Release 2022_v1
DOI: 10.25901/meqb-aw31
title: Whroo Dry Eucalypt BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/gkgw-qg35
title: Wombat State Forest Flux Data Release 2022_v1
DOI: 10.25901/rnp4-jx44
title: Warra Tall Eucalypt BASE Contextual, Soil Physico-Chemical Data 2013
DOI: 10.25901/etsz-bj73
title: Wallaby Creek Flux Data Release 2022_v1
DOI: 10.25901/6zen-a723
title: Cow Bay Flux Data Release 2022_v1
DOI: 10.4227/05/5379bc28e8ed2
title: Mating system and early viability resistance to habitat fragmentation in a bird-pollinated eucalypt

description: Data were used to demonstrate fitness impacts caused by fragmentation context.
Showed extensive pollination can protect tree fitness from fragmentation.

Grew open-pollinated progeny arrays of the bird-pollinated, mallee tree Eucalyptus incrassata in a randomised block design in a common garden experiment at Monarto, South Australia.
Progeny arrays were collected from parental trees in either continuous forest or highly fragmented contexts.

Data are therefore experimental, for hypothesis testing

Data are not descriptive ecological, not plot based and not time-series. 
Data are not a representative sample of Eucalyptus incrassata and not representative of mallee eucalypts.
DOI: 10.25901/vq62-9534
title: Robson Creek Flux Data Release 2022_v1
DOI: 10.25901/qwb1-zm38
title: Loxton Flux Data Release 2022_v1
DOI: 10.25901/e1dc-9968
title: Cape Tribulation Flux Data Release 2022_v1
DOI: 10.25901/m19d-f050
title: Great Western Woodlands Vegetation Structure Across Time Since Fire Chronosequence Data
DOI: 10.25901/pb5z-v739
title: Cumberland Plain Flux Data Release 2022_v1
DOI: 10.25901/8pbf-r169
title: Calperum Chowilla Flux Data Release 2022_v1
DOI: 10.25901/7qs4-2g91
title: Great Western Woodlands Visual Fuel Hazard Assessment Across Time Since Fire Chronosequence Data
DOI: 10.25901/q2sc-w119
title: Dataset for abiotic and biotic responses to woody debris additions in restored old fields in a MBACI experiment
DOI: 10.25901/3yhv-zk71
title: Litchfield Savanna Wood Block Decomposition Data 2019
DOI: 10.25901/nphd-xt46
title: Daintree Rainforest, Cape Tribulation Vegetation Decomposition Tea Bag Index Data 2017
DOI: 10.25901/182r-sc49
title: Great Western Woodlands Wood Block Decomposition Data 2018
DOI: 10.25901/hbxv-s420
title: Yanco Flux Data Release 2022_v1
DOI: 10.25901/58dk-8526
title: Warra Tall Eucalypt Wood Block Decomposition Data 2019
DOI: 10.25901/r5a7-zx84
title: Litchfield Savanna BASE Contextual, Soil Physico-Chemical Data 2014
DOI: 10.25901/5d9486a1ca139
title: Calcium carbonate alters the functional response of coastal sediments to eutrophication-induced acidification

description: Dataset contains information on: sediment characteristics, univariate indices of the macrofauna community and ecosystem functions (net primary production, sediment oxygen consumption and nutrient cycling).
DOI: 10.4227/05/537c5c5553f9e
title: Haematology of the Sleepy Lizard (Tiliqua rugosa) in Australia's cereal croplands, 2010

description: The qualities of these data include: (i) sound experimental design to detect a change between confounding factors, (ii) large sample size, (iii) microchipped animals, (iv) validated heamatological processing on the wild Australian lizard Tiliqua rugosa involving a collaboration between wildlife ecologists and veterinary scientists. Its reuse potential may involve a comparative analysis of body size, haematological parameters with other long-lived, medium-sized lizards, ectoparasite studies (Aponomma hydrosauri, Amblyomma libatum) for different host populations, and background justification for ecotoxicological (pesticide) studies in farmland. Using a using a multivariate, one-way nested Type I PERMANCOVA (analysis of covariance) design, body size, blood samples and ectoparasite presence was collected on a total of 119 animals from two different populations in southern Australia. One population was from an intensively managed cropping environment and one was from an adjacent a less intensively managed grazing environment.  This study took place in extensive rangelands and the fragmented landscapes of the South Australian Murray Mallee cereal cropland in southern Australia.  Adult and juvenile T. rugosa were captured for sampling at one rangeland (baseline) site and three severely modified (severe) landscape-scaled sites (LS1, LS2, LS3) over a large area (68 km _? 84 km or 571,200 ha) across the croplands. Two animal sampling designs were used to collect data on physiological health (Design 1: Baseline vs Severe and Design 2 - Severe only). Data collected: Record No., Animal No., Treatment, Habitat Type, Landscape No., Connectivity Class, Age Class, Linear Body Size Index (LBSI), Heterophil (H) Field of View, Heterophil per microlitre, Total White Blood Cell Count, Absolute Heterophil Count, % Heterophil Count, Absolute Lymphocyte (L) Count, % Lymphocytes,  H:L Ratio (Absolute), H:L Ratio (%), Absolute Monocytes, % Monocytes , Absolute Other Granulocytes , % Other Granulocytes, % Polychromasia, Snout-Vent Length (mm), Total No. Ectoparasites per Animal.
DOI: 10.25901/rfhj-0593
title: Daly Pasture Flux Data Release 2022_v1
DOI: 10.25901/ht3y-hk38
title: NSW Forest Monitoring and Improvement Program Eastern Forest Soil Condition
DOI: 10.25901/3vbb-yq52
title: Daintree Rainforest, Cape Tribulation Vegetation Structure Data, 2014
DOI: 10.25901/m8md-zz53
title: Gingin Banksia Woodlands Vegetation Species List Data, 2018
DOI: 10.25901/2w3w-xt33
title: Daly Uncleared Flux Data Release 2022_v1