The Faroese have accurate statistics of whale catches dating back to 1584. These are most probably the longest continuous statistics for the use of wildlife anywhere in the world. The data collection may enable a better understanding of pilot whale population dynamics and population status, and potentially inform management decisions on pilot whale (e.g. quotas).

Original provider: Happywhale Dataset credits: Happywhale and contributors Abstract: Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales. Supplemental information: Sightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 4 contributors in alphabetic order: Amanda Urena; Hondius; MS Otto Sverdrup; Theo Vickers

Deliverable D2.5 Datasets for each Pilot.

This deliverable is the result of joint efforts from the PHOENIX consortium. This executive report describes the purpose and content of the deliverable.

Deliverable D2.5 Datasets for each Pilot is exactly what the title suggests: The deliverable consists of a vast collection of environmental and socio-economic datasets from the EU at national and local levels of territories where local partners and pilots are operating. Please note that this deliverable consists of data only and there are no interpretations and analyses performed with this data, this step will be executed in other deliverables.

What data does the deliverable consist of? First, there is a dataset comprising over 100 indicators that give insight into a wide range of themes that are relevant to PHOENIX, including population structures, social-economic conditions, information about marginalised groups, energy poverty and environmental/ecological conditions in the respective territories. These data are mostly coming from large international databases such as Eurostat or national statistical databases. Second, the deliverable includes various relevant secondary datasets with information on current opinions, social attitudes, values and ‘green’ behaviours that are the product of international collaborations and initiatives such as the European Social Survey (ESS) and Eurobarometer. Third, the deliverable compiles data at local levels (cities and regions) collected from censuses of population, digital boundary data sources. This in order to understand dynamics on a much local scale and to provide input data for some of the next steps in the PHOENIX project (including spatial microsimulation, agent-based modelling and geo-visualisations).

In particular, Deliverable D2.5 is originally developed with the purpose to support WP3 and specifically task 3.3 to develop the Tangram’s methodologies and tools to investigate cornerstone democratic innovations and estimate their success in citizens’ readiness to change for climate change, and tailor and test these across pilots. Yet, the usability of these data are expected to be of interest across all work packages within the consortium.

In this report, the first chapter outlines a short description with instructions on how all the different datasets are organised and stored and how one can find, obtain and use the data. Chapters two to eight describe available data per territory where the various pilots will be operating. It will be apparent that there is overlap between these chapters, only with some different details about the data formats.

PHOENIX adheres to up-to date data management standards and regulations such as the GDPR, for details on our data management organisation and policies please inquire our dedicated deliverable D 1.2 Data Management Plan.

Overall, this deliverable provides the basis for following steps in PHOENIX and at the same time it is formatted in a way that can support all partners in their search for relevant information for their work packages and tasks (and pilot area case studies) that they work on.

Abstract This dataset was created within the Bioregional Assessment Programme for modelling purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. This dataset contains pilot points for prediction interpolation in the CLM groundwater model. ## Dataset History For the receptors in the uppermost layer of the model, emulators were only trained for 982 pilot points. These pilot points were selected using a bivariate normal distribution with mean centered on the CSG development with slightly manual adjustment. Predictions at other locations were interpolated based on the prediction at these pilot points. Processing steps: 1. 1200 Pilot points were generated using a bivariate normal distribution with mean centered on the centre of CSG development. 2. Remove redundant pilot points so that there are no multiple points within the same grid cell. ## Dataset Citation Bioregional Assessment Programme (2015) Pilot points for prediction interpolation of layer 1 in CLM groundwater model. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/e5d7d69a-629a-467d-87db-dd792808fca4.

Nearly 200 military aircraft were lost in the Great Lakes during World War II (WWII). The vast majority of losses occurred in lower Lake Michigan where Navy aviators attempted to qualify for carrier takeoffs and landings. The Army also lost pilots and aircraft in Lake St. Clair and Lake Huron. Dozens of foreign pilots including French and Norwegian exiles training in North America were also lost over waters in the Great Lakes. Although many of the WWII aircrafts wrecked in the Great Lakes have been recovered, the majority have not yet been found. The goals for this project were to emphasize the importance of WWII-related cultural heritage within and adjacent to Thunder Bay National Marine Sanctuary; develop archaeological survey methodologies to locate and characterize small, disarticulated aircraft sites; and create and develop new partnerships between NOAA and other academic and governmental agencies that will facilitate the exploration and characterization of Lake Huron's maritime and aviation heritage. Funding for this project was provided by NOAA Ocean Exploration via its Ocean Exploration Fiscal Year 2017 Funding Opportunity. Data contains multibeam, side scan sonar, and field images collected between 27 June and 26 September, 2018 in Alpena, Oscoda, and Iosco counties, Michigan. Fieldwork was conducted during daylight hours out of Alpena, Harrisville, and Tawas City, Michigan.

Original provider: Happywhale

Dataset credits: Happywhale and contributors

Abstract: Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.

Supplemental information: Sightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP.

There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only.

This dataset includes sightings and photos from the following 3 contributors in alphabetic order:

Javier Cotin; Marian Herz; Ted Cheeseman

The dataset contains constructed unique geospatial identifier for buildings. A buildings UBID is the north axis aligned "bounding box" of its footprint represented as the centroid (in the GDAL grid reference system format), which is represented by the first set of characters before the first dash, and four cardinal extents, which are represented by the four sets of numbers after the first dash (North, East, South, West),The data has been constructed by spatially joining the latest (2019) building footprints published in DC Open Data with the Common Ownership Lot shapefile. The UBIDs were coded using US DOE’s Implementation code. Please note that the current data set may include some unnecessary structures identified as buildings. These included sheds, overhangs, bus stops, and other structures that do not need to be assigned a UBID. An updated version of the UBID dataset will be released when this issue is resolved. This project is the result of the US DOE Better Buildings Building Energy Data Analysis (BEDA) Accelerator. US DOE is working with stakeholders including state and local governments, commercial and residential building data aggregators, property owners, and product and service providers to develop the UBID system and to pilot it in real-world settings. US DOE and its partners are demonstrating the benefits of UBID in managing and cross-referencing large building datasets and in reducing the costs and enhancing the value proposition of leveraging building energy data. UBIDs For more information regarding UBIDs please visit: https://www.energy.gov/eere/buildings/unique-building-identifier-ubid

Oskarshamn is one of the municipalities being discussed as a possible site for disposal of nuclear waste from the Swedish nuclear power plants, and there has been inquiries made for a pilot study in the area. In view of this the local council of Oskarshamn appointed a ´Youth team´, consisting of ten young politicians from all political parties represented in the local council. The aim of the team was to inform and create debate among adolescents about how to store the radioactive waste from nuclear power plants. The purpose of this survey, addressed to young people in Oskarshamn, was to shed light on their opinion towards a pilot study and possible disposal of nuclear waste in Oskarshamn. The respondents had to answer questions about their opinion on the use of nuclear power in Sweden, if they believed nuclear power to be abolished by year 2010, and about their general interest in issues concerning energy and nuclear power. Other questions concerned risks associated with nuclear power, the influence different groups have/ought to have when it comes to disposal of nuclear waste, and if the respondent would accept a decision to dispose nuclear waste in Oskarshamn. A number of questions dealt with the suggested pilot study; if the respondent was for or against a pilot study; who should decide about the pilot study; if there had been enough information about the study; and if the respondent had attended any meeting, signed any petition, contacted any politician, contacted or participated in mass media, or tried to influence anyone´s opinion on any issue concerning the pilot study. The respondents also had to state the issues they considered to be important to study in a pilot study. Furthermore the respondents had to give their opinion about a number of risks discussed in connection with disposal of nuclear waste in Oskarshamn. Other questions concerned the influence on job opportunities and tourism. Demographic items include age, gender, marital status, children, education, occupation, and trade union membership. Oskarshamn is one of the municipalities being discussed as a possible site for disposal of nuclear waste from the Swedish nuclear power plants, and there has been inquiries made for a pilot study in the area. In view of this the local council of Oskarshamn appointed a 'Youth team', consisting of ten young politicians from all political parties represented in the local council. The aim of the team was to inform and create debate among adolescents about how to store the radioactive waste from nuclear power plants. The purpose of this survey, addressed to young people in Oskarshamn, was to shed light on their opinion towards a pilot study and possible disposal of nuclear waste in Oskarshamn. The respondents had to answer questions about their opinion on the use of nuclear power in Sweden, if they believed nuclear power to be abolished by year 2010, and about their general interest in issues concerning energy and nuclear power. Other questions concerned risks associated with nuclear power, the influence different groups have/ought to have when it comes to disposal of nuclear waste, and if the respondent would accept a decision to dispose nuclear waste in Oskarshamn. A number of questions dealt with the suggested pilot study; if the respondent was for or against a pilot study; who should decide about the pilot study; if there had been enough information about the study; and if the respondent had attended any meeting, signed any petition, contacted any politician, contacted or participated in mass media, or tried to influence anyone's opinion on any issue concerning the pilot study. The respondents also had to state the issues they considered to be important to study in a pilot study. Furthermore the respondents had to give their opinion about a number of risks discussed in connection with disposal of nuclear waste in Oskarshamn. Other questions concerned the influence on job opportunities and tourism. Demographic items include age, gender, marital status, children, education, occupation, and trade union membership. Probability: Simple random Sannolikhetsurval: obundet slumpmässigt urval Probability Sannolikhetsurval Self-administered questionnaire: paper Självadministrerat frågeformulär: papper