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    <title>Researchdata.se</title>
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    <language>en</language>
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      <title>Soil animal microhabitat temperatures in Svalbard (High Arctic) and on the Antarctic peninusula</title>
      <description>Annual temperature data from microhabitats inhabited by soil invertebrates at diverse locations in Svalbard (European High Arctic) and on the Antarctic peninsula. This data are recorded at hour intervals and span several years providing detailed temperature information during all four seasons. Temperatures were recorded in the microhabitat, a depth of c. 5 to 10mm. They can be used to understand the actual temperatures encountered by soil organisms and how these microhabitat temperatures differ from the air temperatures recorded by meteorological stations or active layer temperatures determined by permafrost stations.
They are intented to be used as example data and are particularly useful for sites where year round monitoring is not possible.

Arctic
Temperatures were recorded at a depth of approximately 1 cm using Tinytag dataloggers, TGP-4020 (Gemini, Chichester, West Sussex, U.K.) fitted with PB-5001, PB-5009, or PB-5006 external thermistor probes, except for the Small temporary and Large permanent ponds (sites O and P) where
TG-4100 submersible loggers were deployed at approximately 10 cm water depth. For logger and probe locations see Online Resource 1. Care was taken to avoid exposing the sensors to direct insolation. Sampling interval was 30, 60 or 120 min, depending on logger memory and expected campaign period.

Antarctic
Ground and air temperatures were recorded using various temperature probes over time (copper/constantan thermocouple wires; type-T thermocouples; Fenwal Unicurve thermistors UUT51J1 (100 KΩ at 25 °C) in type FF catheter probes; HMP45C, Vaisala; Campbell Scientific 107 thermistor probes, Campbell Scientific, UK). For ground temperatures
the probe was inserted into the ground surface so as to record surface conditions. Air temperatures were recorded at a height of 2 m within a naturally ventilated solar insolation shield. Data were recorded every hour for the duration of the study using Campbell Scientific CR10X loggers (Campbell Scientific, U.K.).

Data sources:
Svalbard.	S. J. Coulson, University Centre in Svalbard (UNIS), pb 156, 9171 Longyearbyen, Svalbard, Norway.
Antarctic.	P. Convey and M.R. Worland, British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, United Kingdom.</description>
      <pubDate>Wed, 29 May 2019 00:00:00 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/snd1107-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/snd1107-1</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Stephen Coulson</dc:creator>
      <dc:creator>Anna Sjöblom</dc:creator>
      <dc:creator>Peter Convey</dc:creator>
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    <item>
      <title>Communities in infrastructure habitats are species-rich but only partly support species associated with semi-natural grasslands</title>
      <description>This study makes part of the research project GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. The aim of the project was to quantify whether linear infrastructure habitats (road verges and power-line corridors) support biodiversity by assessing the influence of the area of these habitats in the landscape, their contribution to landscape connectivity and population persistence.

The linked data was collected by surveying butterflies, bumblebees, and vascular plants in five types of prevalent grasslands (pastures, road verges along small gravel roads, road verges along big paved roads, power line corridors, and field borders). These grasslands were embedded in 32 landscapes with area 4 km² each, that differed in the area of linear infrastructure habitats (road verges and power line corridors) and semi-natural grasslands of high nature value, while other land-use types were kept constant. The landscapes were dominated by forest. 
Within each grassland habitat, the surveyor established a 200 m transect and then identified all butterflies and bumblebees along it. For plants, a 1 x 1 m quadrat was established at the centre of a 50 m section in each transect, i.e. each transect had four plots in which all plant species were identified.

Denna studie är en del av projektet GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. Projektets huvudsyfte var att kvantifiera om linjära infrastrukturmiljöer (vägkanter och kraftledningsgator) bidrar till mångfalden av växter och insekter i olika rumsliga skalor. Detta gjordes genom att uppskatta hur linjära infrastrukturmiljöers mängd i landskapet bidrar till mångfalden samt hur mycket de bidrar till landskapets konnektivitet.
Datan samlades genom att inventera dagfjärilar, humlor, och växter i fem typer av gräsmarker (betesmarker, vägrenar längs enskilda vägar, vägrenar längs allmänna vägar, kraftledningsgator, och åkerkanter). Alla dessa habitat typer fanns inom 32 landskap med area 4 km2 som skilde sig i areal av linjära infrastrukturmiljöer (vägrenar och kraftledningsgator) och ängs-och betesmarker. Arealen av andra markanvändningar var konstanta mellan landskap och alla landskap var skogsdominerade.</description>
      <pubDate>Thu, 04 Apr 2024 09:16:47 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-23-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-23-1</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Juliana Dániel-Ferreira</dc:creator>
      <dc:creator>Yoan Fourcade</dc:creator>
      <dc:creator>Riccardo Bommarco</dc:creator>
      <dc:creator>Jörgen Wissman</dc:creator>
      <dc:creator>Erik Öckinger</dc:creator>
    </item>
    <item>
      <title>Inventory of five Swedish Late Bronze Age ‘scrap hoards’</title>
      <description>This dataset contains information about metal objects and fragments of metal objects from five Swedish hoard finds from the Late Bronze Age. The main purpose of this data collection was to create a basis for a study of fragmented bronze objects in the so-called ‘scrap hoards’ from this period. The research focus in the dataset is on describing the incomplete objects in these depositions, and to determine/estimate to what degree the fragmentation is due to prehistoric actions (broken during the Bronze Age) or if it might be recent. The questions in focus for this study was which object types were fragmented versus not fragmented, and, to what degree the original object type could be recognized from the fragments. This study is presented in a scientific paper in English. This pilot study is part of a larger project run by Anna Sörman, studying the circulation, use and deposition of fragmented bronze objects, based on studies in north-western France and southern Scandinavia.

The dataset gathers information about the contents of these hoards which have previously been published by Andreas Oldeberg (1927, 1928, 1929, 1934), and the images and details about the finds available in the inventory catalogue (online) of the Swedish History Museum. In one case (the Härnevi hoard), the finds have also been studied first-hand by Anna Sörman, in the storage of the Swedish History Museum. As the focus of the project is on the metalwork objects, the few finds of other materials present in some of these hoards (stone, ceramics, organic materials) have not been included in the dataset.

Two source critical factors should be particularly highlighted regarding the quality of the data. Firstly, these hoards, found between years 1853-1926, have all been collected by private individuals. They have been found during agricultural labour and various groundworks. This means that they should not be expected to be complete, as for example small fragments are likely to have been overlooked. Secondly, the information in the dataset is mainly from secondary sources (with Härnevi as the only exception), which means that renewed primary studies of the material – with special focus on breaks and fragments – would probably lead to certain revisions. Finally it should also be pointed out that, in some cases, it has not been possible to evaluate the probable age of the fracture. This might be due to a lack of information in the secondary sources (published articles and inventory catalogue), or that the object and the patina of the break is too ambigious to be determined. These cases of uncertainty are shown in the dataset under the column “Old break(s)” which is given as either "y" (yes), "n" (no), "y?" (yes?), "n?" (no?), or "?" (indeterminable).

The information in the dataset is structured under the following columns:
1. No = Serial number in the table
2. Study no = Unique number for each object in this study, featuring the number of the hoard (1-5) followed by the number of the item in the hoard, where fragments from the same object are designated by the same number, followed by a serial sub-number. Study no "1.3.1" and "1.3.2." are thus two pieces of the third object listed from hoard 1 (Bräckan). For objects which have been broken in modern times, the fragments have not been given individual sub-numbers.
3. Object type = Functional category of the listed object, such as "Sword" or "Socketed axehead". Objects whose function/type has not been possible to determine are listed as "Unidentified".
4. Complete (yes/no) = Defines the object as complete or incomplete.
5. Old break(s) = Defines if the break(s) on incomplete objects are judged as ancient or recent, based on information in the documentation (often notes about patina, or accidental breaks at the time of discovery etc.)
6. &gt;50% = An estimation of the proportion of the full object (more than 50% or not) represented by an incomplete object piece.  &gt;50% y/n is only filled in for objects with ancient breaks. It has not always been possible to estimate/determine and this information it is therefore not consistently provided. 
7. Other damages = Notes of any other signs of damage on the object, such as "Bent" or "Crushed".
8. Comments about the fragmentation = Additional, descriptive information about break/fracture(s).
9. Likely to be deliberately fragmented = Interpretative classification based on an assessment of the compiled information about the incomplete objects (patina on break, fragment piece, other damages etc.). Note that not all objects that has "y" at Ancient break has "x" under the column Likely to be deliberately fragmented. Some cases have been excluded, either because they have been judged as too uncertain, or because older breaks can be interpreted as use-damage rather than intentional fragmentation.
10. Site = The place-name of the find site of the hoard to which the item belongs.
11. Parish = The name of the parish where the hoard find was made.
12. Museum no = Inventory number under which the object is stored.
13. Find year = The year of discovery for the hoard to which the item belongs.
14. Comments about date/type = Any further information about the dating or typological determination of the specific object.
15. General comment = Any further comments about the item.
16. Weight (g.) = The weight (in grams) of individual items (only for the Härnevi hoard).</description>
      <pubDate>Wed, 26 Jul 2023 08:14:37 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2023-92-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2023-92-1</guid>
      <dc:publisher>Stockholm University</dc:publisher>
      <dc:creator>Anna Sörman</dc:creator>
    </item>
    <item>
      <title>Biodegradable dissolved organic carbon (BDOC) and associated physical and chemical measurements from a boreal first-order stream reach.</title>
      <description>Nine riparian sites along a boreal first-order stream were sampled for the purposes of assessing the percentage of biodegradable dissolved organic carbon (bDOC) in soil, groundwater, streamwater and lake water across 8 occasions between July to October 2022. These sites were sampled to encompass the variation in riparian hydrogeomorphology present within boreal headwaters, and to investigate bDOC concentrations within a land to water continuum. All water samples and soil solutions from extractions were also analysed for dissolved organic carbon, dissolved nutrients and optical properties. All soils were analysed for bulk organic matter content, extracellular enzyme activity (total of 5 enzymes) and phospholipid fatty acid (PLFA) content. 
This data was collected from the Stortjärnbäcken stream reach in the Krycklan Catchment Study within the Svartberget Research Station (64°14ʹN, 19°46ʹE, Vasterbottens lan, Sweden) in collaboration with the Swedish University of Agricultural Sciences (SLU).</description>
      <pubDate>Wed, 26 Feb 2025 16:23:16 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2024-636</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2024-636</guid>
      <dc:publisher>Umeå University</dc:publisher>
      <dc:creator>Melissa Reidy</dc:creator>
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