https://researchdata.se/en/catalogue Search results en Hymenoptera (sawflies, wasps, bees and ants) reared from logging residue left on clear-cuts in southern Sweden. Fine woody debris of Norway spruce, birch, oak and aspen, in three diameter classes (1–4, 4–8 and 8–15 cm) and two age classes (about 1 year and 3–5 years old), was collected on 34 clear-cuts in seven study areas in Uppland, Södermanland, Småland and Halland in 2002–2004. Each study area has a landscape inside and one outside areas identified as hotspots for forest biodiversity. Two bundles of each kind of wood were taken per clear-cut and reared separately, and specialists identified the Hymenoptera that emerged. The dataset has 731 occurrences with 4,397 specimens from 195 wood samples, in 32 families. 82 species are named; the rest are identified to genus, subfamily or family, partly as morphospecies. Pteromalidae, Eulophidae and Braconidae make up 84% of the specimens. Names follow Dyntaxa, the taxonomy of the Swedish Species Information Centre (checked 28 October 2026). These are the data analysed in Jonsell, Vårdal, Forshage & Stigenberg (2023); the beetles of the same study are published on Dryad (Jonsell 2019) and its Diptera in Jonsell, Widenfalk & Hellqvist (2020). Published as a sampling-event dataset (Darwin Core Archive): the clear-cuts, the wood samples and the replicate bundles of each wood sample are events, with the site facts and the wood classes as measurements. Each record of reared Hymenoptera is an occurrence on its bundle, or on its wood sample when the bundle was not recorded, split by sex or caste where these were counted. Not yet included: 22 taxa of Eulophidae and Encyrtidae identified in Lund, and the collection where the specimens will be kept. Thu, 29 Oct 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-hkfe4h https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-hkfe4h Swedish Museum of Natural History Mats Jonsell Hege Vårdal Mattias Forshage Julia Stigenberg Interest in keeping dairy calves with adult cows for a period of time after calving is increasing among consumers and dairy farmers. At present, however, it is largely unexplored how dairy farmers implement cow-calf housing on their farms. This survey therefore investigated how dairy farms with cow-calf contact managed their animals during the time that cows and calves are in contact. In addition, it evaluated which aspects of management were perceived as most challenging, and how farmers dealt with these challenges. Interviews were conducted on 104 dairy farms from six European countries. The farms kept cows and calves together for at least 7 days, and sold milk to dairies. The respondent could be either the owner or the farm manager. Cow-calf farming was practised on farms with a wide range of management systems, from small farms that kept their animals outdoors throughout the year and milked cows by hand or in mobile clamp milking machines to robotic farms. Calves could be kept with the dam or foster cow for part or all of the milking period. Daily contact time varied between farms, from 15 min twice a day at milking to contact throughout the day. Many farmers had observed stress-related behaviours when cows and calves were finally separated, yet the most common separation method was to move the calves away from the cows without first reducing contact time. Constraints with existing buildings were most often cited by farmers as a difficulty in starting cow-calf farming. Structured questionnaire-based interviews regarding the management and feeding of cows and calves were conducted on 104 European dairy farms where calves were kept with adult lactating cows for at least 7 days after calving. The study collected mainly quantitative data, which allowed the inclusion of a larger number of farms. As it is not possible to identify farms with cow-calf contact in central databases, the included farms represent a non-probability sample. However, this study is currently the largest survey conducted regarding the use of cow-calf contact on commercial dairy farms. The study was designed to collect baseline data in this new area of research, and the results are therefore presented descriptively. We used Netigate to gather the interview responses and analysed the data using the softwares R, Stata and Microsoft Excel. Paths need to be customized in order for it to function (is there reference to "MyRepository" on line 6). The data file contains 114 rows and 189 columns. Tue, 08 Nov 2022 08:22:29 GMT https://researchdata.se/en/catalogue/dataset/2022-37-1 https://researchdata.se/en/catalogue/dataset/2022-37-1 Swedish University of Agricultural Sciences Karin Alvåsen