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Dataset results
146 results for “material costs”
Supplementary material 2 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S2
Supplementary material 3 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S3
Supplementary material 1 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Table S1
Supplementary material 9 from: Frem M, Fucilli V, Nigro F, El Moujabber M, Abou Kubaa R, La Notte P, Bozzo F, Choueiri E (2021) The potential direct economic impact and private management costs of an invasive alien species: Xylella fastidiosa on Lebanese wine grapes. NeoBiota 70: 43-67. https://doi.org/10.3897/neobiota.70.72280
Field survey questionnaire
Supplementary material 2 from: Vimercati G, Davies SJ, Hui C, Measey J (2021) Cost-benefit evaluation of management strategies for an invasive amphibian with a stage-structured model. NeoBiota 70: 87-105. https://doi.org/10.3897/neobiota.70.72508
Supplementary material B
Supplementary material 1 from: Vimercati G, Davies SJ, Hui C, Measey J (2021) Cost-benefit evaluation of management strategies for an invasive amphibian with a stage-structured model. NeoBiota 70: 87-105. https://doi.org/10.3897/neobiota.70.72508
Supplementary material A
Supplementary material 1 from: Prigot-Maurice C, Depeux C, Paulhac H, Braquart-Varnier C, Beltran-Bech S (2022) Immune priming in Armadillidium vulgare against Salmonella enterica: direct or indirect costs on life history traits? In: De Smedt P, Taiti S, Sfenthourakis S, Campos-Filho IS (Eds) Facets of terrestrial isopod biology. ZooKeys 1101: 131-158. https://doi.org/10.3897/zookeys.1101.77216
Tables S1–S4, Figures S1–S3
Supplementary material 7 from: Lommen STE, Jongejans E, Leitsch-Vitalos M, Tokarska-Guzik B, Zalai M, Müller-Schärer H, Karrer G (2018) Time to cut: population models reveal how to mow invasive common ragweed cost-effectively. NeoBiota 39: 53-78. https://doi.org/10.3897/neobiota.39.23398
Deterministic population models per reference data set (graphic results, population dynamics) :
Supplementary material 3 from: Lommen STE, Jongejans E, Leitsch-Vitalos M, Tokarska-Guzik B, Zalai M, Müller-Schärer H, Karrer G (2018) Time to cut: population models reveal how to mow invasive common ragweed cost-effectively. NeoBiota 39: 53-78. https://doi.org/10.3897/neobiota.39.23398
Burial experiments (location table, methods, graphic results) :
Supplementary material 5 from: Lommen STE, Jongejans E, Leitsch-Vitalos M, Tokarska-Guzik B, Zalai M, Müller-Schärer H, Karrer G (2018) Time to cut: population models reveal how to mow invasive common ragweed cost-effectively. NeoBiota 39: 53-78. https://doi.org/10.3897/neobiota.39.23398
Parametrisation of population models of experimental mowing treatments (model parameterisation) :
Supplementary material 4 from: Lommen STE, Jongejans E, Leitsch-Vitalos M, Tokarska-Guzik B, Zalai M, Müller-Schärer H, Karrer G (2018) Time to cut: population models reveal how to mow invasive common ragweed cost-effectively. NeoBiota 39: 53-78. https://doi.org/10.3897/neobiota.39.23398
Parametrisation of population models of unmanaged references (model parameterisation) :
Supplementary material 2 from: Lommen STE, Jongejans E, Leitsch-Vitalos M, Tokarska-Guzik B, Zalai M, Müller-Schärer H, Karrer G (2018) Time to cut: population models reveal how to mow invasive common ragweed cost-effectively. NeoBiota 39: 53-78. https://doi.org/10.3897/neobiota.39.23398
Demographic survey of reference populations (location table, methods) :
Supplementary material 1 from: Lommen STE, Jongejans E, Leitsch-Vitalos M, Tokarska-Guzik B, Zalai M, Müller-Schärer H, Karrer G (2018) Time to cut: population models reveal how to mow invasive common ragweed cost-effectively. NeoBiota 39: 53-78. https://doi.org/10.3897/neobiota.39.23398
Analysis of mowing experiment data (statistical analysis of empirical data) :
Supplementary material 2 from: Nobile AB, Freitas-Souza D, Ruiz-Ruano FJ, Nobile MLMO, Costa GO, de Lima FP, Camacho JPM, Foresti F, Oliveira C (2019) DNA metabarcoding of Neotropical ichthyoplankton: Enabling high accuracy with lower cost. Metabarcoding and Metagenomics 3: e35060. https://doi.org/10.3897/mbmg.3.35060
: Data type: NGS quality control
Supplementary material 1 from: Nobile AB, Freitas-Souza D, Ruiz-Ruano FJ, Nobile MLMO, Costa GO, de Lima FP, Camacho JPM, Foresti F, Oliveira C (2019) DNA metabarcoding of Neotropical ichthyoplankton: Enabling high accuracy with lower cost. Metabarcoding and Metagenomics 3: e35060. https://doi.org/10.3897/mbmg.3.35060
: Data type: Bioinformatic protocol
Supplementary material 4 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Table S3
Supplementary material 6 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Figure S1. Pictures were taken with a digital microscope (Keyence VHX-6000, Keyence, Osaka, Japan)
Supplementary material 1 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Protocol 1 – DIY-DS
Supplementary material 3 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Table S2. Raw read table
Supplementary material 2 from: {"en": "Buchner D, Haase P, Leese F (2021) Wet grinding of invertebrate bulk samples – a scalable and cost-efficient protocol for metabarcoding and metagenomics. Metabarcoding and Metagenomics 5: e67533. https://doi.org/10.3897/mbmg.5.67533"}
Table S1. PCR primers used in this study
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.