Edible Plant Database

The Edible Plant Database (EPD) is an outcome of the GROW Observatory, a European Citizen Science project on growing food, soil moisture sensing and land monitoring. This dataset was disseminated via a web service hosted by IIASA (Austria) that provides information about suitable plants for locations within Europe, based on climate. The web service was used in the GROW app, this dataset is the base information used for that service. Key growing data, for example, planting and harvesting calendars, suitability of location for growing are either typically dispersed across a plethora of sources or generic and only applicable at large scales. The latter is a significant constraint to the new grower who may be unaware of the impact of local micro-climate on growing. The EPD provides collates key data for one resource, the GROW app, that enables users across Europe to choose what to plant in their location at the time of query. It is a database populated with 15 growing parameters with a supporting database on germination of 146 edible plant species included in EPD. Planting calendars and germination data to all 12 European climate zones are also included with high resolution images purchased under licence. The EPD brings together planting, harvesting and growing requirements for a suite of crops that can be grown in Europe and uses these data to provide locally relevant advice for growers. The Edible Plant Database provides data based on geographical location and growing season to answer questions such as “What can I plant now” and “what can I plant that will yield a crop on some future date”. Further information on GROW Observatory can be found at www.growobservatory.org This data is made available under a CC-BY 4.0 licence https://creativecommons.org/licenses/by/4.0/ This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 690199 Keywords: Growing calendars, edible plants, local differences, climate zone, planting, harvestin

Dundee ADHD continuing care proforma (revised)

These are two proforma (one for males the other for females) that facilitate the recording of clinical information about the ongoing clinical status of children and adolescents receiving treatment for ADHD. Whilst the Dundee ADHD care pathway has recorded similar clinical information in a standardised way for the last 10 years the previous clinical records required a new document for each clinic visit. This made it more difficult to assess the development of clinical response over time and increased the time required by clinicians to make evidence based treatment decisions. These revised proforma allow the clinician to view the information from up to 12 clinic visits at the same time and therefore simplify the clinical task and improving clinical care. The proforma were designed as a part of a collaboration between graphic and product designers and clinicians that was made possible through the wider ADHD Behavioural Clinical Data (ABCD) data visualisation collaboration funded through and award from the University of Dundee

GROW soil moisture data

The GROW Observatory collected data from across Europe using low cost soil sensors to collect data about the soil and growing conditions. Across 24 GROW places, in 13 Countries, 6,500 Flower Power sensors were deployed following a scientifically validated protocol to collect time series data from November 2017 to October 2019. Participants included community groups, land managers, small and family farms, science and educational institutes with access to land including vineyards, agro-forestry, and food growing. Data were collected every 15 minutes by the sensor and uploaded by the participants using mobile phones, sending the data to the GROW servers. Please see www.growobservatory.org for further details. Data in the time series was: Soil Moisture (%) Temperature (C) Light Level (Lumens) In addition the following metadata was collected: Latitude and Longitude of the Sensor Name of the Sensor Date of Observation Data Format and Size Size: 22GB Format: CSV file GrowLocations.csv Data about the sensor locations GrowTimeSeries.csv The time series data. Data is linked via the serial number of the sensors. This data is made available under a CC-BY 4.0 licence https://creativecommons.org/licenses/by/4.0/ This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 690199 Keywords: Soil Moisture, Time Series, GeoLocation, Consumer Sensor, Scale

Data from: Species identification and likely catch time period of whale bones from South Georgia

Skeletal remains of baleen whales killed during the onset of 20th century commercial whaling lie scattered across the shores and abandoned whaling stations of the subantarctic island of South Georgia. Here we report on genetic species identification of whale bones collected from South Georgia using standard historical DNA protocols. We amplified and sequenced short fragments of the mitochondrial DNA (mtDNA) control region from 281 available bone samples. Of these, 231 provided mtDNA sequences of sufficient quality and length (174–194 bp) for species identification: 158 bones were identified as humpback whale (Megaptera novaeangliae), 51 bones were identified as fin whale (Balaenoptera physalus), 18 bones were identified as blue whale (B. musculus), two bones were identified as sei whale (B. borealis), one bone was identified as a southern right whale (Eubalaena australis), and one bone was identified as a southern elephant seal (Mirounga leonina). The prominence of humpback, fin, and blue whale bones in the sample collection corresponds to the catch record of the early years of whaling on the island of South Georgia (pre-1915), prior to the depletion of these populations