Researchdata.se

Survey data for vascular plants in 240 plots inside and outside a 900 ha area with a deer exclusion fence in Nikko National Park, Japan

Lisa Petersson — Tue, 07 Jan 2025 09:51:50 GMT

The data file contains 240 rows × 126 columns. Forest stands and plot setup: Study area: 24 forest stands identified (12 larch, 12 oak) in the southern portion of the fenced area. Replicate stands: Each stand paired with a replicate within 300 m on opposite sides of the fence; stands without replicates within this distance were excluded. Plot establishment: Total plots: 10 circular plots per stand = in total 240 plots (120 inside, 120 outside the fence). Plot size: Each plot covers 10 m², centered on a larch or oak tree. Plot layout: Plots were placed at least 10 m from other canopy trees (>30 cm DBH) to avoid influences from species other than larch and oak. Data collection: Dwarf bamboo: Average height measured from five random points per plot. Understory vascular plants: All species, including trees and shrubs <1.3 m tall, recorded. Species cover: Measured using a modified Braun-Blanquet cover class system with seven cover categories. Braun -Blanquet scale Cover range (%) Used in calculations (%) r <0.1 + 0.1 – 1 1 1 – 5 2 5 – 25 3 25 – 50 4 50 – 75 5 75 – 100 *For dwarf bamboo, which was very abundant, 100% cover was used for category 5. This did not affect the calculations. Taxonomic groupings: Grouped species: Dwarf bamboos: Sasa spp. (S. kurilensis, S. nipponica, S. palmata, Sasamorpha borealis). Graminoids: Carex, Juncus, Luzula, Poaceae. Non-flowering specimens: Rosa, Rubus, Viola (excluding Viola tokubuchiana var. tokubuchiana which was registered separately). Maple seedlings: Acer spp. (excluding A. rufinerve which was registered separately). Birch seedlings: Betula (B. platyphylla var. japonica, B. ermanii). Euonymus species: E. alatus, E. macropterus, E. sieboldianus (excluding vine E. fortunei). Nomenclature: Follows Wamei checklist version 1.10 (Yamanouchi 2022) https://gbif.jp/activities/checklist/wamei_checklist_110/

Svenska MWELex

Lindström Tiedemann Therese — Thu, 20 Apr 2023 00:00:00 GMT

Swe-MWELex is a list of MultiWord Expressions that are used productively or receptively in teaching Swedish as a second language. The list is based on two corpora: SweLL-pilot, containing essays fron language learners, and COCTAILL, containing texts from course books used at courses for teaching language learners. Texts in the two corpora were manually annotated with CEFR levels. These levels have been projected to each vocabulary item observed in the texts. The list is, therefore, non-prescriptive, i.e. descriptive in character. Every item in the list contains linguistic information, that was partly automatically assigned, with certain categories manually assigned. Frequences in the list come also from the two corpora, i.e.: COCTAILL, and SweLL-pilot, see articles below: Elena Volodina, Ildikó Pilán, Stian Rødven Eide and Hannes Heidarsson 2014. You get what you annotate: a pedagogically annotated corpus of coursebooks for Swedish as a Second Language. Proceedings of the third workshop on NLP for computer-assisted language learning. NEALT Proceedings Series 22 / Linköping Electronic Conference Proceedings 107: 128–144.Volodina Elena. (2024) On two SweLL learner corpora–SweLL-pilot and SweLL-gold. In Huminfra Conference, pp. 83-94.Elena Volodina, Ildikó Pilán, Ingegerd Enström, Lorena Llozhi, Peter Lundkvist, Gunlög Sundberg, Monica Sandell. 2016. SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies. Proceedings of LREC 2016, Slovenia. It is possible to interactively browse the list on the Lärka-platform (https://spraakbanken.gu.se/larka/svlp) under Swedish L2 profiles -> Lexical profile -> Multi Word Expressions. There, it is possible to filter the list for different categories and download it in full or as a selection.

L2Lex-AdjAdv

Lindström Tiedemann Therese — Thu, 20 Apr 2023 00:00:00 GMT

L2Lex-AdjAdv is a word list with adjectives and adverbs used productively and receptively in teaching Swedish as a second language. The list is based on two corpora: SweLL-pilot, containing essays fron language learners, and COCTAILL, containing texts from course books used at courses for teaching language learners. Texts in the two corpora were manually annotated with CEFR levels. These levels have been projected to each vocabulary item observed in the texts. The list is, therefore, non-prescriptive, i.e. descriptive in character. Every item in the list contains linguistic information, that was partly automatically assigned, with certain categories manually checked. Frequences in the list come also from the two corpora, i.e.: COCTAILL, and SweLL-pilot, see articles below: Elena Volodina, Ildikó Pilán, Stian Rødven Eide and Hannes Heidarsson 2014. You get what you annotate: a pedagogically annotated corpus of coursebooks for Swedish as a Second Language. Proceedings of the third workshop on NLP for computer-assisted language learning. NEALT Proceedings Series 22 / Linköping Electronic Conference Proceedings 107: 128–144.Volodina Elena. (2024) On two SweLL learner corpora–SweLL-pilot and SweLL-gold. In Huminfra Conference, pp. 83-94.Elena Volodina, Ildikó Pilán, Ingegerd Enström, Lorena Llozhi, Peter Lundkvist, Gunlög Sundberg, Monica Sandell. 2016. SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies. Proceedings of LREC 2016, Slovenia. It is possible to interactively browse the list on the Lärka-platform (https://spraakbanken.gu.se/larka/svlp) under Swedish L2 profiles -> Lexical profile -> Adjectival & Adverbial structure. There, it is possible to filter the list for different categories and download it in full or a the selection.

Sen*Lex

Alfter David — Thu, 20 Apr 2023 00:00:00 GMT

Sen*Lex is a word list with productive and receptive vocabulary for Swedish as a second language. The list is based on two corpora: SweLL-pilot, containing essays fron language learners, and COCTAILL, containing texts from course books used at courses for teaching language learners. Texts in the two corpora were manually annotated with CEFR levels. These levels have been projected to each vocabulary item observed in the texts. The list is, therefore, non-prescriptive, i.e. descriptive in character. Every item in the list contains linguistic information, that was partly automatically assigned, with certain categories manually checked. Frequences in the list come also from the two corpora, i.e.: COCTAILL, and SweLL-pilot, see articles below: Elena Volodina, Ildikó Pilán, Stian Rødven Eide and Hannes Heidarsson 2014. You get what you annotate: a pedagogically annotated corpus of coursebooks for Swedish as a Second Language. Proceedings of the third workshop on NLP for computer-assisted language learning. NEALT Proceedings Series 22 / Linköping Electronic Conference Proceedings 107: 128–144.Volodina Elena. (2024) On two SweLL learner corpora–SweLL-pilot and SweLL-gold. In Huminfra Conference, pp. 83-94.Elena Volodina, Ildikó Pilán, Ingegerd Enström, Lorena Llozhi, Peter Lundkvist, Gunlög Sundberg, Monica Sandell. 2016. SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies. Proceedings of LREC 2016, Slovenia. It is possible to interactively browse the list on the Lärka-platform (https://spraakbanken.gu.se/larka/svlp) under Swedish L2 profiles -> Lexical profile -> Sen*Lex. There, it is possible to filter the list for different categories and download it in full or a the selection.

L2Lex-Adj

Lindström Tiedemann Therese — Thu, 20 Apr 2023 00:00:00 GMT

L2Lex-Adj is a word list with adjectives used productively and receptively in teaching Swedish as a second language. The list is based on two corpora: SweLL-pilot, containing essays fron language learners, and COCTAILL, containing texts from course books used at courses for teaching language learners. Texts in the two corpora were manually annotated with CEFR levels. These levels have been projected to each vocabulary item observed in the texts. The list is, therefore, non-prescriptive, i.e. descriptive in character. Every item in the list contains linguistic information, that was partly automatically assigned, with certain categories manually checked. Frequences in the list come also from the two corpora, i.e.: COCTAILL, and SweLL-pilot, see articles below: Elena Volodina, Ildikó Pilán, Stian Rødven Eide and Hannes Heidarsson 2014. You get what you annotate: a pedagogically annotated corpus of coursebooks for Swedish as a Second Language. Proceedings of the third workshop on NLP for computer-assisted language learning. NEALT Proceedings Series 22 / Linköping Electronic Conference Proceedings 107: 128–144.Volodina Elena. (2024) On two SweLL learner corpora–SweLL-pilot and SweLL-gold. In Huminfra Conference, pp. 83-94.Elena Volodina, Ildikó Pilán, Ingegerd Enström, Lorena Llozhi, Peter Lundkvist, Gunlög Sundberg, Monica Sandell. 2016. SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies. Proceedings of LREC 2016, Slovenia. It is possible to interactively browse the list on the Lärka-platform (https://spraakbanken.gu.se/larka/svlp) under Swedish L2 profiles -> Lexical profile -> Adjectival declension. There, it is possible to filter the list for different categories and download it in full or a the selection.

Concentrations of leaf mercury in relation to nitrogen and LMA

Håkan Pleijel — Mon, 10 Nov 2025 12:22:53 GMT

Data include concentrations of mercury and nitrogen in leaves and needles as well as values for LMA (dry leaf mass per leaf area) for 17 tree species.