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                "en": "Dataset of Beaver creates early successional hotspots for water beetles\nWater beetles in Evo 2019\n\nAuthors: Petri Nummi, Wenfei Liao, Juliette van der Schoor, John Loehr\n\nThe dataset was utilised in the paper entitled “Beaver creates early successional hotspots for water beetles” by Petri Nummi, Wenfei Liao, Juliette van der Schoor, John Loehr published on  Biodiversity and Conservation 30, 2655–2670 (2021). https://doi.org/10.1007/s10531-021-02213-8 \n\nStudy sites\nThe data was collected at Evo (61°12′ N, 25°07′ E) in southern Finland. Lakes of this area are oligotrophic, and relatively small (0.1–49.5 ha). All these habitats contain fish. North American beavers (Castor canadensis) inhabit the study area and create flowages by damming existing ponds but they sometimes also dam creeks. Within the landscape, beavers move from one lake to another every three years on average, resulting in abandoning old sites and creating new beaver habitat patches. \n\nTo study how water beetles responded to beaver-created succession, we selected four types of ponds having five replicates in each category: \n(1) New Beaver Ponds: newly formed ponds between 2 and 4 years old that have raised water level through damming; \n(2) Old Beaver Ponds: ponds which beavers may or may not be currently present in, but the beaver constructed dam still functions and maintains a raised water level (7–33 years old); \n(3) Former Beaver Ponds (Abandoned beaver ponds): with no current beaver presence and which have previously had raised water level due to a beaver constructed dam, but the dam has been breached and the water level has dropped; \n(4) Never Engineered Ponds: ponds which have not encountered raised water level through beaver damming during the last 50 years.\n\nSampling methods\nWe employed activity traps without bait to sample water beetles. The traps consisted of 1L glass jars with a funnel of 10 cm at the large end and 2.3 cm at the narrow end. At each location, we placed 10 traps approximately 1 m from the shoreline where the water was at least 30 cm of depth. The traps were placed horizontally on the bottom and attached to the surrounding vegetation to keep them in place. We measured the depth of each trap (cm) and estimated the percentage of vegetation of the sampling locations, then we averaged these parameters for each pond. After 48 h, traps were emptied by sieving the content using a sieve with 1 mm mesh. Adult beetles were identified to the species level.\n\nDataset\nIn the dataset (file “Raw_data_Evo_Beaver_water_beetles_2019.xlsx”) are two sheets. The sheet “StudySites” gives basic information on the sampled ponds. The age of beaver ponds and the years of the abandoned ponds are given. The coordinates of all ponds are given. For example, Arabiankorpi locates at 61.2132 N, 25.0928E. The sampling date means the date of traps being retrieved.\n\nThe sheet “Water_beetle_raw_data” gives all the observations of water beetles from each trap. In total, 26 Dytiscidae species, two Noteridae species, and two Haliplidae species were caught during the trapping. The code of Pond is in line with the sheet “StudySites”. For example, Pond “N1” means the site Arabiankorpi. The code of Trap stands for each trap. For example, “N1.1” means the first trap of New Beaver Pond No.1 (Arabiankorpi). “SpeciesRichness” means the species richness of all water beetle adults in a trap, including Dytiscidae, Noteridae, and Haliplidae in our case. “Abundance” means the abundance of all water beetle adults in a trap. “Type” means the categories of the ponds. “NEW” means new beaver ponds; “OLD” means old beaver ponds; “ABANDONED” means former beaver ponds; “NEVER” means never engineered ponds."
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                        "title": {
                            "en": "Nummi, Liao, van der Schoor, Loehr: Beaver creates early successional hotspots for water beetles",
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                            "en": "<jats:title>Abstract</jats:title><jats:p>Beavers (<jats:italic>Castor</jats:italic> spp.) are ecosystem engineers that induce local disturbance and ecological succession, which turns terrestrial into aquatic ecosystems and creates habitat heterogeneity in a landscape. Beavers have been proposed as a tool for biodiversity conservation and ecosystem restoration. So far, most research has compared biodiversity in beaver wetlands and non-beaver wetlands, but few studies have explored how beaver-created succession affects specific taxa. In this study, we investigated how water beetles responded to different successional stages of wetlands in a beaver-disturbed landscape at Evo in southern Finland. We sampled water beetles with 1-L activity traps in 20 ponds, including: 5 new beaver ponds, 5 old beaver ponds, 5 former beaver ponds, and 5 never engineered ponds. We found that beaver wetlands had higher species richness and abundance than non-beaver wetlands, and that new beaver wetlands could support higher species richness (321%) and abundance (671%) of water beetles compared to old beaver wetlands. We think that higher water beetle diversity in new beaver ponds has resulted from habitat amelioration (available lentic water, shallow shores, aquatic vegetation, and low fish abundance) and food source enhancement (an increase of both dead and live prey) created by beaver dams and floods. We conclude that using beavers as a tool, or imitating their way of flooding, can be beneficial in wetland restoration if beaver population densities are monitored to ensure the availability of newly colonizable sites.</jats:p>",
                            "fi": "<jats:title>Abstract</jats:title><jats:p>Beavers (<jats:italic>Castor</jats:italic> spp.) are ecosystem engineers that induce local disturbance and ecological succession, which turns terrestrial into aquatic ecosystems and creates habitat heterogeneity in a landscape. Beavers have been proposed as a tool for biodiversity conservation and ecosystem restoration. So far, most research has compared biodiversity in beaver wetlands and non-beaver wetlands, but few studies have explored how beaver-created succession affects specific taxa. In this study, we investigated how water beetles responded to different successional stages of wetlands in a beaver-disturbed landscape at Evo in southern Finland. We sampled water beetles with 1-L activity traps in 20 ponds, including: 5 new beaver ponds, 5 old beaver ponds, 5 former beaver ponds, and 5 never engineered ponds. We found that beaver wetlands had higher species richness and abundance than non-beaver wetlands, and that new beaver wetlands could support higher species richness (321%) and abundance (671%) of water beetles compared to old beaver wetlands. We think that higher water beetle diversity in new beaver ponds has resulted from habitat amelioration (available lentic water, shallow shores, aquatic vegetation, and low fish abundance) and food source enhancement (an increase of both dead and live prey) created by beaver dams and floods. We conclude that using beavers as a tool, or imitating their way of flooding, can be beneficial in wetland restoration if beaver population densities are monitored to ensure the availability of newly colonizable sites.</jats:p>",
                            "und": "<jats:title>Abstract</jats:title><jats:p>Beavers (<jats:italic>Castor</jats:italic> spp.) are ecosystem engineers that induce local disturbance and ecological succession, which turns terrestrial into aquatic ecosystems and creates habitat heterogeneity in a landscape. Beavers have been proposed as a tool for biodiversity conservation and ecosystem restoration. So far, most research has compared biodiversity in beaver wetlands and non-beaver wetlands, but few studies have explored how beaver-created succession affects specific taxa. In this study, we investigated how water beetles responded to different successional stages of wetlands in a beaver-disturbed landscape at Evo in southern Finland. We sampled water beetles with 1-L activity traps in 20 ponds, including: 5 new beaver ponds, 5 old beaver ponds, 5 former beaver ponds, and 5 never engineered ponds. We found that beaver wetlands had higher species richness and abundance than non-beaver wetlands, and that new beaver wetlands could support higher species richness (321%) and abundance (671%) of water beetles compared to old beaver wetlands. We think that higher water beetle diversity in new beaver ponds has resulted from habitat amelioration (available lentic water, shallow shores, aquatic vegetation, and low fish abundance) and food source enhancement (an increase of both dead and live prey) created by beaver dams and floods. We conclude that using beavers as a tool, or imitating their way of flooding, can be beneficial in wetland restoration if beaver population densities are monitored to ensure the availability of newly colonizable sites.</jats:p>"
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                "en": "This replication package provides detailed instructions for replicating the results presented in the article: \"Enabling infinite Q factors in absorbing optical systems\", Nanophotonics, 2023 (DOI: https://doi.org/10.1515/nanoph-2023-0281) by R. Kolkowski and A. Shevchenko.\n\nThe instructions are given in the PDF file \"Replication_instructions__Enabling_infinite_Q__Nanophotonics_2023.pdf\" with the following contents:\n\n/ Figures 1-5 and their captions (section I),\n\n/ a Python code to obtain the results presented in Figure 1 (section II / file \"Fig1_code.py\"),\n\n/ step-by-step tutorials for creating the COMSOL models necessary to obtain the results presented in Figures 2-5:\n- a model to perform the eigenfrequency analysis of the bare waveguide (Figure 2(b) and (c) / section III / file \"eigfreq_analysis_Fig2bc.mph\"),\n- a model to perform the scattering simulation of the metasurface - to obtain the electric field distribution at resonance under external excitation (Figure 2(d) / section IV / file \"metasurface_scattering_Fig2d.mph\"),\n- a model to perform the scattering simulations for many parameter values (an input for the cluster computations) - to obtain the values of the transmittance, reflectance, absorptance and field enhancement (Figures 3-5 / section V / file \"metasurface_scattering_Fig345.mph\"),\n\n/ a batch submission script (file \"run_sweep.slrm\") and an auxiliary Python code (files \"get_parameters_set.py\" and \"get_parameters_set_zoom.py\") for running COMSOL computations on a cluster (section VI),\n\n/ Python codes for reading, postprocessing and plotting the results:\n- a code to perform the mode analysis (finding the Bragg condition for the TE and TM modes) and to create the 2D plots (Figure 3 / sections VII, VIII, and IX / files \"mode_analysis.py\" and  \"plot_spectrum_vs_Px.py\"),\n- a code to plot the selected spectra of the transmittance, reflectance, absorptance, and field enhancement (Figure 4 / section X / file \"plot_selected_spectra.py\"),\n- a code to extract the values of the Q factor and to plot them (Figure 5 / Section XI / files \"extract_Q_factors.py\" and \"plot_Q_factors.py\").\n\n\nThe dataset contains the following files:\n\n/ COMSOL model files (.mph) created by following the instructions in sections III, IV, and V:\n- eigfreq_analysis_Fig2bc.mph (in the folder \"Fig2bc\"),\n- metasurface_scattering_Fig2d.mph (in the folder \"Fig2d\"),\n- metasurface_scattering_Fig345.mph (identical copies in the folders \"Fig3_4_5\" and \"..._input_files\"),\n\n/ Python scripts (.py):\n- Fig1_code.py (in the folder \"Fig1bcde\"),\n- get_parameters_set.py (identical copies in the folders \"Fig3a_input_files\", \"Fig3b_input_files\", and \"Fig3c_input_files\"),\n- mode_analysis.py (identical copies in the folders \"Fig3a_results\", \"Fig3b_results\", and \"Fig3c_results\"),\n- plot_spectrum_vs_Px.py (different versions in the folders \"Fig3a_results\", \"Fig3b_results\", and \"Fig3c_results\"),\n- get_parameters_set_zoom.py (identical copies in the folders \"..._zoom_input_files\", \"Fig5_blue_curve_input_files\", and \"Fig5_magenta_curve_input_files\"),\n- plot_selected_spectra.py (different versions in the folders \"Fig4...\"),\n- extract_Q_factors.py (different versions in the folders \"Fig5_...\"),\n\n/ Batch submission scripts (.slrm):\n- run_sweep.slrm (different versions in the folders \"..._input_files\"),\n\n/ Additional files:\n- original Figures 1-5 (in the folders \"Fig1bcde\", \"Fig2bc\", \"Fig2d\", \"Fig3_4_5\", and \"Fig5\"),\n- images exported from COMSOL (in the folders \"Fig2bc\" and \"Fig2d\"),\n- text files with the definitions of the parameters and variables for the COMSOL models (in the folders \"Fig2bc\", \"Fig2d\", and \"Fig3_4_5\"),\n- an example \"probe_table.txt\" file (in the folder \"Fig3_4_5\"),\n- lists of the parameter values - files \"full_list.txt\" and \"full_list_zoom.txt\" (different versions in the folders \"..._input_files\"),\n- combined results of the COMSOL computations - files \"spectrum_vs_Px_3a.txt\", \"spectrum_vs_Px_5_blue.txt\", etc. (in the folders \"...results\", \"Fig4...\", and \"Fig5_...\"), \n- extracted values of the Q factors - files \"Q_factors_Fig5_black_curve.txt\", \"Q_factors_Fig5_blue_curve.txt\", etc. (in the folders \"Fig5...\") ,\n- images generated by the Python scripts - files \"spectrum_vs_Px_3a.png\", \"spectrum_4a.png\", \"Q_factors_Fig5_black_curve.png\", etc. (in the folders \"...results\", \"Fig4...\", and \"Fig5_...\")."
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            "description": {
                "en": "The aim of the research was to delve into the meaningfulness of such work as promotion of research integrity. The following research questions were formulated:\n\n1) What aspects of the role of research integrity promoter are meaningful? Why?\n\n2) To what changes does research integrity promotion as meaningful work lead?\n\nTo answer these research questions, a qualitative research approach was employed using individual semi-structured interviews for data collection. The population of interest were national research integrity promoters: national ombudspersons for research integrity (coded as OMB), representatives for research integrity/misconduct from research funding organizations (RFO) and representatives from national research integrity networks (RIN) in European countries.\n\nPurposive sampling method was used to select informants. To identify potential informants, we used website of European Network of Research Integrity Offices (http://www.enrio.eu/) and official websites of target organizations; in addition, snowball method was used to identify potential informants who corresponded to sampling criteria but were not part of the ENRIO membership. At the first stage, 32 potential informants were identified; due to missing contact information or irrelevance of activities as defined in sampling criteria, only 21 informants were invited to participate in the research. Overall, 10 national research integrity promoters (7 females and 3 males; all hold PhD degree and were or currently are part of academia) consented to take part in the research: 5 national ombudspersons for research integrity, 3 representatives for research integrity/misconduct from research funding organizations and 2 representatives from national research integrity networks.\n\nSemi-structured questionnaire (interview guide) consisting of five key topics (self-identity, goals, impediments to meaning, enablers to meaning, rewards for meaning-making) and the closing section was used. Interviews were conducted remotely. The interview language was English.\n\nEach interview was audio-recorded, transcribed, and anonymized. Average length of interview was 53 minutes; average non-anonymized interview transcript contained 6851 words.\n\nEach transcript was validated by two researchers for data accuracy and clarification of inaudible responses; anonymization of each transcript was validated by two researchers and a respective informant. Due to uniqueness of the national status of informants, two informants asked to change their initial consent to disclose anonymized transcript (i.e., they agreed on the use of their interview transcripts for data analysis but not on granting open access to them)."
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                    "url": "http://www.yso.fi/onto/okm-tieteenala/ta512",
                    "in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
                    "pref_label": {
                        "en": "Business and management",
                        "fi": "Liiketaloustiede",
                        "sv": "Företagsekonomi"
                    }
                },
                {
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                        "title": {
                            "en": "Jumping with a Parachute – Is Promoting Research Integrity Meaningful?",
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                        "description": {
                            "en": "Considering world-wide interest in prevalent research malpractice at higher education institutions, we focus on the role of European national research integrity promoters (ombudspersons, research funding organizations, research integrity networks) who play a role at the forefront of bringing systemic change. Given the constraints of the role of research integrity promoters, we strive to grasp the meaningfulness of their work. To accomplish that, we employ a qualitative research approach and use individual semi-structured interviews with 10 national research integrity promoters. Employing reflexive applied thematic analysis, we discuss our findings in light of the structural symbolic interactionist approach and sensemaking theory. We conclude that encapsulated in challenging prerequisites of the national research integrity promotion work, the meaningfulness of such work emerges through integrating research integrity in all aspects of academic life to entail indispensable systemic changes in academia."
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            "bibliographic_citation": "Malessa, Eva. <i>Co-design focused, participatory approach to exploring a digital literacy support serious game with Finnish language and literacy teachers of adult migrants with limited/interrupted formal education experience: research data</i>. V. 20.4.2023. University of Jyväskylä.",
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                "en": "Mixed data production:\r\n\r\nSub-study 1 investigated the role of technology in adult migrant language and late literacy education in Finland. The dataset included an online pre-pandemic survey targeted at Finnish language and literacy teachers and four in-service teacher interviews conducted during the COVID-19 pandemic in late 2020. \r\n\r\nSurvey data of teachers (written data in Finnish) was produced in November 2019. The online teacher survey was motivated to create an indicative overview of the current situation of adult migrant second language and literacy education in Finland. The survey’s interests were the (practical) use of technical equipment in teaching as well as the (pedagogical) use of digital methods and applications. Interview data consists of four written in-service teachers' interview transcripts in Finnish. Four teachers were individually interviewed once. These unstructured, conversational interviews were remotely conducted in Finnish, via Zoom (September-October 2020) to inform teachers about the next sub-study. Duration of transcribed interviews is ca. 140 mins (approx. 19,000 words in total).\r\n\r\nIn sub-study 2, in-service Finnish language and literacy teachers tested, evaluated and re-designed a research version of the literacy support app 'Professori Pörröpää ja Lukukupla' developed by the AllRead research project team at the University of Jyväskylä. This subdataset included interview data of these three teachers working with adult migrants with limited/interrupted formal education experience (10 written interview transcripts in Finnish, including screenshots from the recorded video interviews), individual teachers were interviewed online via Zoom three to four times between September 2020 to May 2021. Three induction interviews were non-structured, seven evaluation interviews were semi-structured. Duration of transcribed interviews ca. 10 h 30 mins.",
                "fi": "Aineisto sisältää verkkokyselyn ja haastattelut, joilla selvitettiin suomen kielen opettajien näkemyksiä teknologian roolista aikuisten maahanmuuttajien kielenoppimisessa Suomessa. Tutkimus keskittyi käytössä oleviin kielen oppimista ja lukutaitoa edistämään suunniteltuihin opetussovelluksiin ja niiden käyttöön osana pedagogiikkaa. Kysely toteutettiin vuonna 2019 ennen COVID19-pandemiaa ja haastattelut pandemian aikana vuonna 2020.\r\n\r\nAineisto sisältää myös opettajien haastattelut, jotka toteutettiin Jyväskylän yliopiston AllRead: Digitaalinen oppimisympäristö GraphoLearn lukutaidon kehitystä tukemassa -tutkimushankkeessa kehitetyn  'Professori Pörröpää ja Lukukupla' -oppimissovelluksen testaus- ja arviointivaiheessa."
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