Find research datasets worth reusing

opennotspecifiedMay 2020View details →

FIGURE 3 in Description of larva and pupa of Phylloicus cressae Prather 2003 (Trichoptera Calamoceratidae) from a montane forest stream in the peri-urban area of Caracas Venezuela

FIGURE 3: Phylloicus cressae, larva; thorax, dorsal. 3A, pronotum; 3B, mesonotum; 3C, metanotum. Chaetotaxy of mesonotum and metanotum: DSa1 = tactile seta in dorsal Sa1, DSa2 = tactile setae (2 or 3) in dorsal Sa2, DSa3 = group of long and short tactile setae in dorsal Sa3.

opencc-by-4.0Mar 2018View details →

Sigfox and LoRaWAN Datasets for Fingerprint Localization in Large Urban and Rural Areas

INTRODUCTION The goal of these LPWAN datasets is to provide the global research community with a benchmark tool to evaluate fingerprint localization algorithms in large outdoor environments with various properties. An identical collection methodology was used for all datasets: during a period of three months, numerous devices containing a GPS receiver periodically obtained new location data, which was sent to a local data server via a Sigfox or LoRaWAN message. Together with network information such as the receiving time of the message, base station IDs' of all receiving base stations and the Received Signal Strength Indicator (RSSI) per base station, this location data was stored in one of the three LPWAN datasets:  <ul> <li> lorawan_dataset_antwerp.csv </li> <li> 130 430 LoRaWAN messages, obtained in the city center of Antwerp </li> <li> sigfox_dataset_antwerp.csv </li> <li> 14 378 Sigfox messages, obtained in the city center of Antwerp </li> <li> sigfox_dataset_rural.csv </li> <li> 25 638 Sigfox messages, obtained in a rural area between Antwerp and Ghent </li> </ul> As the rural and urban Sigfox datasets were recorded in adjacent areas, many base stations that are located at the border of these areas can be found in both datasets. However, they do not necessarily share the same identifier: e.g. ‘BS 1’ in the urban Sigfox dataset could be the same base station as ‘BS 36’ in the rural Sigfox dataset. If the user intends to combine both Sigfox datasets, the mapping of the ID's of these base stations can be found in the file: <ul> <li> sigfox_bs_mapping.csv </li> </ul> The collection methodology of the datasets, and the first results of a basic fingerprinting implementation are documented in the following journal paper:  <a href="http://www.mdpi.com/2306-5729/3/2/13">http://www.mdpi.com/2306-5729/3/2/13</a>   UPDATES IN VERSION 1.3 We added the file lorawan_antwerp_gateway_locations.json.txt. As the filename suggests, this file contains the coordinates of the LoRaWAN gateways in Antwerp. (The .txt file type had to be appended, otherwise the file could not be uploaded to Zenodo).   UPDATES IN VERSION 1.2 In this version of the LPWAN dataset, only the LoRaWAN set has been updated. The Sigfox datasets remain identical to version 1.0 and 1.1. The main updates in the LoRaWAN set are the following: <ul> <li> New data: the LoRaWAN messages in the new set are collected 1 year after the previous dataset version. To be consistent with the previous versions, the new LoRaWAN set is uploaded in the same .CSV format as before. This upload can still be found in this repository as ‘lorawan_dataset_antwerp.csv’. </li> <li> More gateways:  Compared to the previous dataset, 4 gateways were added to the LoRaWAN network. The RSSI of these gateways are shown in columns ‘BS 69’, ‘BS 70’,‘BS 71’ and ‘BS 72’. All other ‘BS’ columns are in the same order as in previous dataset versions. </li> <li> More metadata: In the previous LoRaWAN dataset, metadata was limited to 3 receiving gateways per message. In the new dataset version, metadata from all receiving gateways is included in every message. Moreover, some gateways provide a timestamp with nanosecond precision, which can be used to evaluate Time Difference of Arrival localization methods with LoRaWAN. </li> <li> 2 file formats: As more metadata becomes available, we find it important to share the dataset in a clearer overview.  This also allows researchers to evaluate the performance of LoRaWAN in an urban environment. Therefore, we publish the new LoRaWAN dataset as a .CSV file as described above, but also as a .JSON file (lorawan_antwerp_2019_dataset.json.txt, the .txt file type had to be appended, otherwise the file could not be uploaded to Zenodo) An example of one message in this JSON format can be seen below: <ul> <li> JSON format description: <ul> <li> HDOP: Horizontal Dilution of Precision </li> <li> dev_addr: LoRaWAN device address </li> <li> dev_eui: LoRaWAN device EUI </li> <li> sf: Spreading factor </li> <li> channel: TX channel (EU region) </li> <li> payload: application payload </li> <li> adr: Adaptive Data Rate (1 = enabled, 0= disabled) </li> <li> counter: device uplink message counter </li> <li> latitude: Groundtruth TX location latitude </li> <li> longitude: Groundtruth TX location longitude </li> <li> airtime: signal airtime (seconds) </li> <li> gateways: <ul> <li> rssi: Received Signal Strength </li> <li> esp: Estimated Signal Power </li> <li> snr: Signal-to-Noise Ratio </li> <li> ts_type: Timestamp type. If this says "GPS_RADIO", a nanosecond precise timestamp is available </li> <li> time: time of arrival at the gateway </li> <li> id: gateway ID </li> </ul> </li> </ul> </li> <li> JSON example <pre><code class="language-json">{ "hdop": 0.7, "dev_addr": "07000EFE", "payload": "008d000392d54c4284d18c403333333f04682aa9410500e8fd4106cabdbc420f00db0d470ce32ac93f0d582be93f0bfa3f8d3f", "adr": 1, "latitude": 51.20856475830078, "counter": 31952, "longitude": 4.400575637817383, "airtime": 0.112896, "gateways": [ { "rssi": -115, "esp": -115.832695, "snr": 6.75, "rx_time": { "ts_type": "None", "time": "2019-01-04T08:59:53.079+01:00" }, "id": "08060716" }, { "rssi": -116, "esp": -125.51497, "snr": -9.0, "rx_time": { "ts_type": "GPS_RADIO", "time": "2019-01-04T08:59:53.962029179+01:00" }, "id": "FF0178DF" } ], "dev_eui": "3432333853376B18", "sf": 7, "channel": 8 }</code></pre>   </li> </ul> </li> </ul>

opencc-zeroOct 2020View details →

Forest patch size predicts seed bank composition in urban areas

Questions: As urban areas expand around the world, understanding how to restore and maintain forests within the urban environment becomes increasingly important. Given that a comprehensive understanding of regeneration dynamics is critical to designating appropriate management interventions we ask the following: how does regeneration, vis-à-vis the buried seed bank, vary in heterogenous urban forests? And, can forest patch size be used to predict regeneration and consequent management interventions? Location: Vacant lots and public parks throughout New Haven, CT, USA. Methods: We sampled buried seed banks in 131 plots distributed across three forest patch sizes ranging from large intact parks (95-126 ha), to small parks (1-19 ha), and vacant lots (.05-.65 ha). We collected soil samples from the surface mineral soil and stratified them over sand in a greenhouse over a period of 5 months to record germination. Results: By examining seed bank floristics in a range of forest patch sizes we found that species composition and dominance of specific functional groups shifted with patch size representing a spectrum of urbanization within just one city. Seed bank floristics in large parks more closely resembled results from seed bank studies in rural forests with over 85% native germinants on average. In contrast, vacant lots were dominated by non-native germinants and more ruderal species indicative of earlier successional stages. Seed banks in small parks were variable and in some cases were more similar to large parks or vacant lots. Conclusions: Our findings suggest that large parks in urban areas may be largely self-sustaining whereas smaller parks may require more intensive management for site rehabilitation, especially in early states of succession. Furthermore, our results confirm the highly heterogeneous nature of urban forest patches and call for more systematic sampling of urban areas to capture this variation and improve management prescriptions and outcomes.

opencc-zeroDec 2020View details →

Building façade-level correlates of bird-window collisions in a small urban area

Urbanization increasingly exposes birds to multiple sources of direct anthropogenic mortality. Collisions with buildings, and windows in particular, are a top bird mortality source, annually causing 365-988 million fatalities in the United States. Correlates of window collision rates have been studied at the scale of entire buildings and in relation to the surrounding landscape, and most studies have only assessed correlates for all birds combined without considering season- and species-specific risk factors. In Stillwater, Oklahoma, USA, we conducted bird collision surveys at 16 buildings to assess building structural-, vegetation-, and land cover-related collision correlates. Unlike past studies, we focused at the scale of individual building façades, and in addition to considering correlates for total collisions, we assessed correlates for different seasons and separately for eight collision-prone species. Several façade-related features, including proportional glass coverage, façade length, and façade height, were positively associated with total collisions and collisions for most separate seasons and species. Total collisions were also greater at alcove-shaped façades than flat, curved, and portico-shaped façades. We found that collision correlates varied among seasons (e.g., surrounding lawn cover important in summer and fall, but not spring) and among species (e.g., surrounding impervious cover positively and negatively related to collisions of Painted Bunting and American Robin, respectively). Given the importance of glass proportion, collision reduction efforts should continue to focus on minimizing and/or treating glass surfaces on new and existing buildings. Our species and season-specific assessments indicate that management of some collision risk factors may not be equally effective for all seasons and species. Future research, policy, and management that integrates information about collision risk for all bird species and seasons, and at multiple scales from building façades to the surrounding landscape, will be most effective at reducing total mortality from bird-window collisions.

opencc-zeroJan 2021View details →

Input and output files for WRF urban simulations for the metropolitan area of Tel-Aviv

We implement and verify for the first time four Weather Research and Forecasting model urban configurations, focused on the coastal metropolitan area of Tel-Aviv (MTA) using updated land use and morphological maps. We analyze the mesoscale summertime flow and the urban canopy (UC) role in the occurrence of different hodograph dynamics observed within MTA at night. These events may be significant in air quality research. The four configurations – bulk (MM), single-layer (SLUCM), multi-layer (BEP), and BEP coupled with the building energy model – reproduce the observed diurnal temperature and wind cycles, with similar 10m wind direction bias and RMSE (15o and ~30o, respectively), with preference for MM and SLUCM at night. However, the SLUCM shows the lowest skill for the 10m wind speed (WS) (bias and RMSE 1ms-1), and the BEP shows the largest underestimation of the 2m temperature, ~-2.5oC. In the SLUCM, the WS increases over an UC and with increasing building heights. These results call for a re-examination of the SLUCM WS parameterization. The simulations show that at night, a convergence line (CL) builds up with the urban heat island, downstream of the NW flow. West of the CL, the wind continues flowing from the sea, and rotates anti-clockwise to form a non-elliptical sea-breeze hodograph. Removing MTA UC restores an elliptical hodograph. East of the CL, the UC supports an elliptical hodograph with a clockwise rotation through the NE sector, previously reported as dynamically unstable. We expect such wind hodograph dynamics within similar coastal metropolitan areas.

opencc-zeroDec 2012View details →

Data from: Signatures of rapid evolution in urban and rural transcriptomes of white-footed mice (Peromyscus leucopus) in the New York metropolitan area

Urbanization is a major cause of ecological degradation around the world, and human settlement in large cities is accelerating. New York City (NYC) is one of the oldest and most urbanized cities in North America, but still maintains 20% vegetation cover and substantial populations of some native wildlife. The white-footed mouse, Peromyscus leucopus, is a common resident of NYC's forest fragments and an emerging model system for examining the evolutionary consequences of urbanization. In this study, we developed transcriptomic resources for urban P. leucopus to examine evolutionary changes in protein-coding regions for an exemplar 'urban adapter'. We used Roche 454 GS FLX+ high throughput sequencing to derive transcriptomes from multiple tissues from individuals across both urban and rural populations. From these data, we identified 31,015 SNPs and several candidate genes potentially experiencing positive selection in urban populations of P. leucopus. These candidate genes are involved in xenobiotic metabolism, innate immune response, demethylation activity, and other important biological phenomena in novel urban environments. This study is one of the first to report candidate genes exhibiting signatures of directional selection in divergent urban ecosystems.

Figure 3. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981

Figure 3. - An example of a campus sampling point, indicating as "pic1" in Fig. 2.

Figure 6. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981

Figure 6. - An example of a campus sampling point, indicating as "pic4" in Fig. 2.

Figure 5. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981

Figure 5. - An example of a campus sampling point, indicating as "pic3" in Fig. 2.

Figure 4. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981

Figure 4. - An example of a campus sampling point, indicating as "pic2" in Fig. 2.

Figure 1. from Inventory of the Heteroptera (Insecta: Hemiptera) in Komaba Campus of the University of Tokyo, a highly urbanized area in Japan - Biodiversity Data Journal 3: e4981 (24 April 2015) https://doi.org/10.3897/BDJ.3.e4981

Figure 1. - Locations of the Komaba Campus and six reference sites in Tokyo, Japan.

opencc-by-4.0Jul 2024View details →

CFD Modeling Results and Related Data and Codes for Plotting of "A Mesoscale-to-LES Modeling of Tornado-like Vortex and Associated Local Strong Winds in Urban Area"

The CFD modeling outputs, derived maximum wind fields in the analysis area, the topography data, the Python codes used to produce the figures, as we as the namelist of WRF simulation are available. The CFD modeling outputs are in binary format. The ctl. files of corresponding binary data (or dataset if ordered chronologically) are available in each directory (named after each experiment in our study).

opennotspecifiedSep 2012View details →

Fig. 1 in What's Under a Plastic Strip? Hidden Urban Biodiversity in the Beijing Metropolitan Area, China

Fig. 1. Seasonal activity dynamics of adult Dorytomus setosus (a) and Dorytomus roelofsi (b) collected in bandshelter trap on willows in Cuihu Wetland Park, Beijing, China.

opencc-by-4.0Dec 2023View details →

Urban socioecological conflicts in the metro-areas of the Valley of Mexico, Guadalajara and Monterrey, Mexico.

Database of urban socioecological conflicts in the metro-areas of the Valley of Mexico, Guadalajara and Monterrey. Supplementary material of the paper entitled "", published at the Journal of Political Ecology. Vol. 30. DOI: 10.2458/jpe.5221

opencc-by-4.0Oct 2023View details →

Fawn bedsite selection by a large ungulate living in a peri-urban area

The zip file contains: <ul> <li>All datasets used for the data analysis of the updated version of the preprint titled: "Fawn bedsite selection by a large ungulate living in a peri-urban area" that can be found at: https://doi.org/10.1101/2023.08.11.552922.</li> <li>The R markdown showing the analysis used for this study.</li> <li>The HDML file of the R markdown above.</li> </ul>

opencc-by-4.0Apr 2024View details →

UAS Trajectory Model Dynamics at different flight heights: An In-depth Analysis of PPK Georeferencing Results for an Urban Area

In-depth analysis of the PPK georeferencing results when using three different Continuously Operating Reference Station (CORS) stations and one local base station.

Fig. 8 in Distribution Of The Carabid Species (Coleoptera, Carabidae) In Woodlands Of The Protected And Urban Areas (North Of Ukraine)

Fig. 8. The ratios of forest carabid species according to their geographical ranges in the studied territories. Codes of geographical range given in table 2.

Fig. 7 in Distribution Of The Carabid Species (Coleoptera, Carabidae) In Woodlands Of The Protected And Urban Areas (North Of Ukraine)

Fig. 7. Average of activity density (± 95 %CI) of the five abundant forest species in the Polisky Nature Reserve and in the urban parks.

Fig. 4 in Distribution Of The Carabid Species (Coleoptera, Carabidae) In Woodlands Of The Protected And Urban Areas (North Of Ukraine)

Fig. 4. The ordination (non-metric multidimensional scaling using the Bray-Curtis index similarity and the square root transform method) of the total species compositions in the forests of the Polisky Nature Reserve and the urban parks during the study years. The stress of the two-dimensional configuration is 4 %. Site name abbreviations are the same as in fig. 3.

Fig. 3 in Distribution Of The Carabid Species (Coleoptera, Carabidae) In Woodlands Of The Protected And Urban Areas (North Of Ukraine)

Fig. 3. Cluster analysis of Bray-Curtis similarity measure and the group average linkage method of carabid assemblages in the studied areas. Site name abbreviations: R ― Polisky Nature Reserve, T ― Teremky and F ― Theofania urban parks; the numbers after the letter are indicate the study year.