Find research datasets worth reusing

Fig. 6. Saxicolella deniseae. A in Taxonomic revision of Saxicolella (Podostemaceae), African waterfall plants highly threatened by Hydro-Electric projects

Fig. 6. Saxicolella deniseae. A habit; B distal portion of one root, with marginal sessile shoots; C detail of B showing the fruiting shoots; D unopened spathellum; E distal leaf rib; F shoot with opening spathellum; G & H shoots with flowers at anthesis; J & K fruit with persistent floral parts; L fruit with one valve removed showing seeds on the placenta; M fruit, transverse section. A from photo in habitat of and B – L from Molmou 1383. DRAWN BY ANDREW BROWN.

Fig. 2. Saxicolella ijim A in Taxonomic revision of Saxicolella (Podostemaceae), African waterfall plants highly threatened by Hydro-Electric projects

Fig. 2. Saxicolella ijim A habit, showing crustose, disc-like root with radiating marginal lobes and centrally originating aerial stems; B side-branch, fruiting; C axillary, fruiting shoot; D unopened spathellum; E flower at anthesis, partly concealed in spathellum; F & G flowers at anthesis; H fruiting shoot, one valve removed to show seeds on placenta; J transverse section of fruit, showing absence of commissural ribs. From Cheek et al. 9920 (K). DRAWN BY ANDREW BROWN.

Fig. 3. Saxicolella angola. A in Taxonomic revision of Saxicolella (Podostemaceae), African waterfall plants highly threatened by Hydro-Electric projects

Fig. 3. Saxicolella angola. A fruiting plant; B, C apices of two stems showing terminal clusters of leaves, spathellae and fruits; D flower, post-anthetic (anther empty); E two spathellae, one with dehisced fruit showing spindle-like placenta and a single seed attached; F transverse section of fruit (slightly distorted by compression). All from Gossweiler 9428 (holotype K). DRAWN BY ANDREW BROWN.

Fig. 5. Saxicolella marginalis. A in Taxonomic revision of Saxicolella (Podostemaceae), African waterfall plants highly threatened by Hydro-Electric projects

Fig. 5. Saxicolella marginalis. A habit, flowering plant; B detail of flowering rosette shoots; C flower inside spathellum before anthesis; D flower at anthesis, spathellum opened. From Keay in FHI 25152. DRAWN BY MARGARET STONES. Originally published in Taylor (1954) as Butumia marginalis G.Taylor © the estate of Margaret Stones.

opencc-by-sa-4.0Feb 2023View details →

Nudging Repository – Set of Nudges (DyMoN Project)

This file provides the DyMoN nudging repository that is a set of digital behaviour change techniques (i.e., nudges) which are suitable to be used as push notifications for a mobile application in order to motivate sustainable mobility (walking, bicycling, public transport).

opencc-by-4.0Dec 2022View details →

NanoXSpot project : NxS Tool reference images

The files within this dataset contain digital X-ray images that can be used to evaluate the spot size and shape parameters of simulated or physical X-ray tubes. The images were generated within the scope of NanoXSpot project by means of simulation tools or through experimental acquisitions. The images are organised in folders, depending on the patterns and gauge type, which are specified in the folder name. The images were acquired or generated for different CT systems. The important parameters for evaluation are provided in the file “Systems_parameters.txt”. Each folder contains a .csv file with the output of the NxS Tool. A file containing this description is also included at the root of each main folder, named “_readme.pdf”. The datasets serve as references for the NxS Tool developed by CEA List and freely available for public use, that can be downloaded from the following webpage: <a href="https://nanoxspot-project.cea.fr/NxS%20Tool%20Description/NxS%20Tool%20Releases">NanoXSpot Project - NxS Tool Public Releases (cea.fr)</a> The files were intentionally anonymised after the explicit consent from each organization that they can be used in the reference datasets. Image evaluation The image evaluation was carried out using <a href="https://nanoxspot-project.cea.fr/Lists/StaticFiles/v2022.09/NxS_Tool_setup_v2022.09.exe.7z">NxS Tool v2022.09</a>. The user manual is provided on the following web page: <a href="https://nanoxspot-project.cea.fr/NxS%20Tool%20Description/NxS_Tool_User_Manual">NanoXSpot Project - NxS Tool User Manual (cea.fr)</a>. Acknowledgements The NanoXSpot project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme (EURAMET – EMPIR programme, project id 18NRM07).   Terms of use THESE DATASETS ARE PROVIDED BY THE NANOXSPOT CONSORTIUM EACH ONE AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL ANY OF NANOXSPOT CONSORTIUM PARNERS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

The MAMMAMIA project: A multi-scale multi-method approach to understand runoff-induced changes in the subglacial environment and consequences for surge dynamic in Kongsvegen glacier, Svalbard

Data set at a 3h resolution of all the data used in the study ''The MAMMAMIA project: A multi-scale multi-method approach to understand runoff-induced changes in the subglacial environment and consequences for surge dynamic in Kongsvegen glacier, Svalbard', Coline bouchayer, Ugo Nanni, Pierre-Marie Lefeuvre, John Hulth, Louise Schmidt, Jack Kohler, Francois Renard and Thomas V. Schuler. The mansucript is in prepartaion to be submitted to The Crysophere (@ Add DOI when submitted).

Supporting Data for MODIS Aqua L2 SST Correction Project

This dataset consists of two parts: A) Three data objects needed to ‘fix’ several issues associated with the L2 sea surface temperature (SST) dataset obtained from the MODIS Aqua instrument by the Ocean Biology Processing Group (OBPG) at NASA’s Goddard Space Flight Center. These files are required by the Matlab script, build_and_fix_orbits.m, in the GitHub repo git@github.com:pcornillon/MODIS_L2.git. This script ‘unmasks’ pixels improperly flagged as bad in the vicinity of large SST gradients and those flagged as bad because the difference between the retrieved SST and a reference field exceeds a given threshold. The script also regrids the L2 fields to compensate for the bow-tie effect, which tends to jumble the pixel locations in the along-track direction. The files are: 1) weights_and_locations_from_31191.mat - used to correct for the bow-tie effect. 2) SST_Range_for_Declouding.mat - are monthly climatologies of the minimum and maximum temperatures in 5x5 degree cells determined from the MODIS Aqua L2 SST dataset for 2002-2019. These fields are used to unmask pixels flagged as cloudy based on the reference SST test. The original test used was for a fixed SST range independent of time-of-year and location. 3) Separation_and_Angle_Arrays.n4 - a file containing several fields, one for the along-track separation of pixels at each pixel location, a second for the along-scan separation and a third for the angle the perpendicular to the scan line makes counterclockwise of east. These data are used to determine the eastward and northward components of the SST gradient determined from the 'fixed' SST fields. B) A set of files used to test build_and_fix_orbits.m. These files are contained in four folders zipped into one file, MODIS_R2019.zip, plus the output file, AQUA_MODIS.20100619T052031.L2.SST.nc4, written by build_and_fix_orbits.m. The .zip file contains the data for one complete MODIS Aqua orbit beginning at 05h20 GMT on 19 June 2010.  The folders in this file are:  1) Data_from_OBPG_for_PO-DAAC - metadata files copied from a portion of the OBPG SST granules. 2) Day - daytime granules obtained from the OBPG’s web site. 3) Night - nighttime granules obtained from the OBPG’s web site. 4) Orbits - a files indicating which OBPG granules make up individual orbits for June 2010

The Mixed Layer Depth in the Ocean Model Intercomparison Project (OMIP): Impact of Resolving Mesoscale Eddies: supporting data

This file contains a jupyter notebook (python language) used to produce the figures of a manuscript submitted to the journal Geoscientific Model Development, and the data necessary to reproduce the figures. Abstract of the manuscript: The ocean mixed layer is the interface between the ocean interior and the atmosphere or sea ice, and plays a key role in climate variability. It is thus critical that numerical models used in climate studies are capable of a good representation of the mixed layer, especially its depth. Here we evaluate the mixed layer depth (MLD) in six pairs of non-eddying (1° resolution) and eddy-rich (up to 1/16°) models from the Ocean Model Intercomparison Project (OMIP), forced by a common atmospheric state. For model validation, we use an updated MLD dataset computed from observations using the OMIP protocol (a constant density threshold). In winter, low resolution models exhibit large biases in the deep water formation regions. These biases are reduced in eddy-rich models but not uniformly across models and regions. The improvement is most noticeable in the mode water formation regions of the northern hemisphere. Results in the Southern Ocean are more contrasted, with biases of either sign remaining at high resolution. In eddy-rich models, mesoscale eddies control the spatial variability of MLD in winter. Contrary to a hypothesis that the deepening of the mixed layer in anticyclones would make the MLD larger globally, eddy-rich models tend to have a shallower mixed layer at most latitudes than coarser models do. In addition, our study highlights the sensitivity of the MLD computation to the choice of a reference level and the spatio-temporal sampling, which motivates new recommendations for MLD computation in future model intercomparison projects.

opencc-by-4.0Aug 2003View details →

Fig. 1 in The German Myriapod Literature Project (GerMyLit)

Fig. 1. Example of a search over two databases, provided by the programme Reference Manager®. The result buttons on the right side of the search window show how the records are narrowed.

dataset of: "Glacier projections sensitivity to temperature-index model choices and calibration strategies"

data for Schuster, L., Rounce, D. R., and Maussion, F.: Glacier projections sensitivity to temperature-index model choices and calibration strategies, Annals of Glaciology, 2023, <a href="https://doi.org/10.1017/aog.2023.57" target="_blank" rel="noopener">https://doi.org/10.1017/aog.2023.57 </a> When using this dataset, please refer to the original publication in addition to this Zenodo repository. You can find the code to create the data and plot the figures in the <a href="https://github.com/lilianschuster/oggm_mb_sandbox_option_intercomparison">oggm_mb_sandbox_option_intercomparison GitHUB repository</a>.

opencc-by-3.0-usDec 2022View details →

Anadromous waters fish surveys by the Alaska Department of Fish and Game AKSSF Project 52007

Geospatial data containing stream survey information for locations in Southeast Alaska. Surveys focused on identifying the presence of anadromous fish in freshwater streams while collecting ancillary fish habitat data.

Projected changes in Laminaria species survival in Europe

Future projections of annual kelp survival and mortality for the species Laminaria hyperborea, Sacchinaria latissima and Laminaria digitata. Supporting data for T4.1 of Horizon 2020 project FutureMARES. The file naming convention is kelp_{cmip6_model}_{ssp}, where cmip6_model names the CMIP6 model used to drive the projection, and ssp identifies which of SSP126, SSP245 and SSP585 was used. Each file shows modelled projected annual survival(1) and mortality (0) for L. hyperborea, S. latissima and L. digitata from 1995-2099.

opencc-by-4.0Dec 2020View details →

SoftWind Project database

This dataset concerns the WEAMEC funded SoftWind project on Floating Offshore Wind Turbine. Experimental testing is an important step into the design process of floating wind turbines. Testing at different scales is necessary as a project progresses. The experimental modeling of floating wind turbine requires tackling several challenges in order to represent as closely as possible the influence of the rotor on the whole structure. The physical phenomena and the forces due to wind and waves are not governed by the same laws of similitude. This incompatibility requires modeling compromises that often limit the representation fidelity a floating wind turbine in operation. The SOFTWIND project aims at developing a robust experimental platform that tackles these similitude issues by using a software in the loop approach. <a href="https://www.weamec.fr/projets/softwind/">SoftWind on the WEAMEC website</a>

opencc-by-sa-4.0Mar 2023View details →

WoPoss-project/Gospels: The WoPoss dataset on modality in the Gospels

Linguistic annotation (including modality) of the Gospels in Ancient Greek and Latin Contents <ul> <li> <code>xml</code>: contains the XML-TEI dataset. There is a file for each language and Gospel. These files contain the linguistic annotation of modal passages (with three verses before and after each occurrence of a modal marker to provide context). </li> <li> <code>summary</code>: two tabular sheets with a summary of the annotation. </li> <li> <code>scripts</code>: XQuery code to create the tables presented in <code>summary</code> and to align the semantic annotation in Greek and Latin with any other language available in the project <a href="https://christos-c.com/bible/">Multilingual Bible Parallel Corpus</a>. </li> <li> <code>to-be-aligned</code>: empty folder where you need to save the files downloaded from the Multilingual Bible Parallel Corpus in order to be aligned. </li> <li> <code>build.xml</code>: Apache Ant build file: read instructions to run it </li> </ul>

opencc-by-4.0Dec 2022View details →

NAIADES Project - Carouge pilot

The city of Carouge, Switzerland, has been involved from 2019 to 2022 in the NAIADES project, as one of the three pilot cities. The NAIADES H2020 European project aims at improving water management in cities. Within the Carouge pilot, the project focused on two use cases: watering of the city's flowerbeds and management of the water quality in fountains and paddling pools. Credits for drone images: Staprod Music : “Electronic base and pop guitar” by Frankumjay (Creative Commons 4.0 - <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbGUwbjNEdXRMcHNqVC1iaUcxdU1aZ3hsVldZd3xBQ3Jtc0tuOTFDYkRUYmtJSzJWRzJIVE1FaGVxbU9oRDUtSTBUZmUwLXlRNlhtaXpzbTNmZW54VU91RzI0SDlhY3dzcFN0WXVyZjRCTEo0elpacDhtbXZIMDVDcGctZW1WNzBiWEx4bEgxWC1qb0U3cmpwWGs3Yw&q=https%3A%2F%2Ffreesound.org%2Fpeople%2Ffrankum%2Fsounds%2F273300%2F&v=yYPuRduAR8Q">https://freesound.org/people/frankum/...</a>) Picture : “A Naiad or Hylas with a Nymph” by John William Waterhouse (1893)

'Does crown sheltering effect the vulnerability of trees to wind damage in tropical forests? ' project dataset

The manually delineated tree crowns, polygon-based sheltering indices, canopy height model (CHM) and digital surface model (DSM) generated to investigate the effects of local crown sheltering on wind vulnerability in Barro Colorado Island, Panama. Files include both circular and directional indices at 10m, 20m, 50m and 2 x canopy radius.

Probabilistic projections of mean sea level change in Finland by 2100

Paper describing the methods used to calculate these projections: Pellikka, H., Johansson, M. M., Nordman, M., and Ruosteenoja, K.: Probabilistic projections and past trends of sea level rise in Finland, Nat. Hazards Earth Syst. Sci., <a href="https://doi.org/10.5194/nhess-2022-230">https://doi.org/10.5194/nhess-2022-230</a>, 2023. This dataset includes probability distributions of projected mean sea level in Finland in 2030, 2040, ... 2100, as well as time series of projected mean sea level 2005-2100. Data is provided for 13 tide gauge locations and 3 emission scenarios: low (RCP2.6 / SSP1-2.6), medium (RCP4.5 / SSP2-4.5), and high (RCP8.5 / SSP5-8.5). There are two data packages, distributions.zip and timeseries.zip. The data files included in these packages are tab- or space-delimited text files with the file extension .dat. All filenames start with a three-character code xxx that determines the tide gauge (1-letter symbol) and the emission scenario (2 digits). For example: v26 means Vaasa, low emission scenario (RCP2.6 / SSP1-2.6) e45 means Helsinki, medium emission scenario (RCP4.5 / SSP2-4.5) t85 means Turku, high emission scenario (RCP8.5 / SSP5-8.5) The letter symbols and locations of the tide gauges are, from north to south along the coast: a - Kemi (65.67 N, 24.52 E) o - Oulu (65.04 N, 25.42 E) b - Raahe (64.67 N, 24.41 E) p - Pietarsaari (63.71 N, 22.69 E) v - Vaasa (63.08 N, 21.57 E) s - Kaskinen (62.34 N, 21.21 E) m - Mäntyluoto (61.59 N, 21.46 E) r - Rauma (61.13 N, 21.44 E) t - Turku (60.43 N, 22.1 E) d - Degerby (60.03 N, 20.38 E) h - Hanko (59.82 N, 22.98 E) e - Helsinki (60.15 N, 24.96 E) f - Hamina (60.56 N, 27.18 E) 1) distributions.zip > xxx_fitdistr_yyyy.dat These files include the probability distribution (probability density function) of projected mean sea level in year yyyy (2030, 2040, ... 2100). There are two columns: sea level and probability. Sea level values are millimetres in the Finnish N2000 height system. 2) timeseries.zip > xxx_timeseries.dat These files include the time series of projected mean sea level in 2005-2100. The files have 8 columns: year and 7 sea level values representing different percentiles of the probability distribution. The percentiles are 1%, 5%, 17%, 50% (median), 83%, 95%, 99%. Sea level values are centimetres in the Finnish N2000 height system. Please note that all projections for years other than 2100 are indicative and based on a simple 2nd order fit made to the current rate of mean sea level change and the projected mean sea level in 2100. In other words, the projections for intermediate years are based on the 2100 projections assuming constant acceleration in mean sea level change rates. Example figures distributions.png and timeseries.png are included to illustrate the data. The Matlab script slrfinland_figures.m used to produce these figures is also included.

SSH Centre | Learning about the project

Prof Chris Foulds and Prof Rosie Robison, co-leads of SSH CENTRE project, explain in this video how SSH CENTRE will provide inputs to contribute to EU policies by translating Social Science and Humanities knowledge to climate-energy-mobility policy action.

"Get a Grip" dataset from the Me, Human project

This work has been conducted at the London Science Museum between 02/07/2019 and 31/09/2019 and is part of the public engagement and citizen science collaboration project called Me, Human (www.mehuman.io/). The data set includes raw data of grip strength (power grip and precision grip) measured on visitors of the London Science Museum (UK). The experiments took place at the Science Museum in London during the summer months when the museum was more likely to attract international visitors. We did not record the ethnicity of the participants. All participants gave their written informed consent before participating in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Department of Psychological Sciences Ethics Committee at Birkbeck (ref: 181996), University of London. For more details on the method employed, see the published articles:  Bardo A., Kivell T.L., Town K., Donati G., Ballieux H., Stamate C., Edginton T., Forrester G.S., 2021. Get a grip: variation in modern human grip strength and implication for human evolution. Symmetry 13(7), 1142. DOI: 10.3390/sym13071142.  Bardo A., Town K., Kivell T.L., Donati G., Ballieux H., Stamate C., Edginton T., Forrester G.S, 2022. The precision of the human hand: variability in pinch strength and manual dexterity. Symmetry 14(1), 71. DOI: 10.3390/sym14010071.    Version V1.0: raw data of the grip strength (power grip and precision grip) in 663 adults (17 to 83 years old).