Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
129
datasets available to search
ShareScore release 0.9.0
Dataset results
129 results for “LEM”
ICON-LEM Ny-Ålesund low-level clouds polar night and polar day 2021/2022
<h3>Low-level clouds during the polar night and polar day simulated in ICON-LEM for Ny-Ålesund </h3> <p>This data set was created using the ICON-LEM model with ca. 600m resolution and a diagnostic tool "microphysical wrapper". It contains the meteogram output of the Ny-Ålesund column (Svalbard) and the microphysical process rates. The data was created for the polar night (Nov 2021- Feb 2022) and polar day (May - Aug 2022). Clouds are classified as low-level if their cloud top height (CTH) is below 2.5 km and the distance between any cloud with CTH above 2.5 km is at least 500 m higher. The data set was first used and described in the <em>publication: </em></p> <p>T. Kiszler, D. Ori, V. Schemann<em>. </em>(preprint) Microphysical processes involving the vapour phase dominate in simulated low-level Arctic clouds. <em>Atmospheric Physics and Chemistry, </em>https://doi.org/10.5194/egusphere-2023-2986<em><br></em></p> <p>This data is related to the repository <a href="https://github.com/TracyMcBean/Kiszler_et_al_2023_microphysics">https://github.com/TracyMcBean/Kiszler_et_al_2023_microphysics</a></p> <p><em>File description:</em></p> <p>*_PN is polar night data</p> <p>*_PD is polar day data</p> <p>LLC_<em>meteo_<yyyymm>_ICONv1</em>_v6.nc : Contains the meteogram variables (thermodynamics, surface variables, hydrometeors)</p> <p>LLC_wrapper_mass_<yyyymm>_ICONv1_v6.nc : Contains hydrometeors masses after diagnostic run of a microphysical wrapper</p> <p>LLC_wrapper_tend_<yyyymm>_ICONv1_v6.nc : Contains the mircophysical process rates showing the mass change per timestep </p> <p>low_cloud_times_v6_*.csv : Contains the date and time when a low-level cloud was detected</p>
Meteograms of Ny-Ålesund for ICON-LEM maritime aerosols simulations
<p>This data contains the simulation data as meteogram from ICON-LEM simulations with ca. 600 m resolution. The output location is Ny-Ålesund. The data is for the months Aug and Oct 2021. This data was used in the PhD thesis of Theresa Kiszler. Thesis title: "Improving our understanding of cloud phase-partitioning using long-term cloud-resolving simulations of Svalbard".</p> <p>The original simulation setup is is described in the method section of the paper "A Performance Baseline for the Representation of Clouds and Humidity in Cloud-Resolving ICON-LEM Simulations in the Arctic" by Kiszler et al. (2023). <a href="https://doi.org/10.1029/2022MS003299">https://doi.org/10.1029/2022MS003299</a></p> <p>The following adaptation has been made to the simulation settings: The CCN activation is based on a version by Segal and Khain (2006) using the lowest possible number concentration, i.e. maritime aerosols. The INP nucleation follows the paper by Phillips et al. (2008) only using dust as aerosol. The implementation of the mentioned schemes was not done by us, only the settings were changed to use these schemes instead of the default version.</p>
Soil and plant biogeochemical and soil temperature variables collected at brown lemming (Lemmus trimucronatus) and tundra vole (Microtus oeconomus) structure sties near Nome, Toolik Lake, and Utqaigvik, Alaska, summer 2018-2020
Soil and plant sampling analysis under small mammal-built structures and controls sites from near the Team Vole fences: Nome, Toolik, Utqiagvik, AK 2018-2020.
Meteograms of Ny-Ålesund for ICON-LEM default aerosols simulations
<p>This data contains the simulation data as meteogram from ICON-LEM simulations with ca. 600 m resolution. The output location is Ny-Ålesund. The data is for the months Aug and Oct 2021. This data was used in the PhD thesis of Theresa Kiszler. Thesis title: "Improving our understanding of cloud phase-partitioning using long-term cloud-resolving simulations of Svalbard".</p> <p>The simulation setup is is described in the method section of the paper "A Performance Baseline for the Representation of Clouds and Humidity in Cloud-Resolving ICON-LEM Simulations in the Arctic" by Kiszler et al. (2023). <a href="https://doi.org/10.1029/2022MS003299">https://doi.org/10.1029/2022MS003299</a></p>
Lemming Mesocosm (Denmark): in-situ fluorescence chlorophyll-a calibration, underlying data
<p>These data files include 2 years (2018-2020) of high-frequency in-situ chlorophyll-a and phycocyanin fluorescence sensor (Turner Designs, Cyclops 7F) data, together with data from various tests conducted with these sensors. Morever, in-vitro chlorophyll-a data for 2018-2020 period is also included.</p> <p>These data are collected in Lemming mesocosm site, Denmark, where there are 24 tanks with 2 nutrient and 3 temperature treatments (2x3 factorial design). There is data from 24 in-situ chlorophyll-a and 12 in-situ phycocyanin fluorescence sensors.</p> <p>In this Dataset folder, there are:</p> <ul> <li>one <strong>Metadata </strong>(*.xlsx)<strong> </strong>file with 3 sheets; <ul> <li>"<em>Descriptive</em>": comprises information on location, authors, study period and the main instrument used, </li> <li>"<em>Structural</em>": includes detailed information on each dataset.</li> <li>"<em>Relational</em>": includes a figure showing the relations between the datasets</li> </ul> </li> <li>thirteen files (*.csv) in LemCP_DataORE that were used to; <ul> <li>conduct in-situ fluorescence sensor tests (i.e. blank variation, linearity check, DOC effect check), </li> <li>calibrate 24 in-situ fluorescence chlorophyll-a sensors</li> <li>plot various figures</li> </ul> </li> </ul>
Lemming Mesocosm (Denmark): in-situ fluorescence chlorophyll-a calibration, extended data
<p>These files include a scheme showing the sensor and tank (mesocosm) system, plots from high frequency in-situ chlorophyll-a and phycocyanin fluorescence data and in-vitro chlorophyll-a data collected in Lemming mesocosm site, Denmark, where there are 24 tanks with 2 nutrient and 3 temperature treatments (2x3 factorial design). These plots are based on 24 in-situ chlorophyll-a and 12 in-situ phycocyanin fluorescence sensors from 24 tanks/mesocosms. There is also a table showing the steps for cleaning the high-frequency data.</p>
Coupled LEM Bio Simulation and Plotting Code
<p>This version includes the simulation codes, modified modules, and plotting scripts used in the study “Direct effects of mountain uplift and topography on biodiversity” by Eyal Marder, Tara M. Smiley, Brian J. Yanites, and Katherine Kravitz, published in <em>Science (2025)</em>.</p> <p>The simulation dataset files are available in Version 1 and can be accessed at <a href="https://doi.org/10.5281/zenodo.10818931" target="_blank" rel="noopener">Zenodo DOI: 10.5281/zenodo.10818931</a>.</p>
Dataset for publication "Assessing the techno-economic benefits of LEMs for different grid topologies and prosumer shares"
<p>This dataset contains all the results and scenarios for this paper. Each region has two files in which you can find all the scenarios for the market design with and without the local energy market. The folders within these files contain the results for one scenario for a given share of PV, EVs, and heat pumps (HPs). The results folders can also be used to rerun the scenarios. To do so, place the respective scenario in the tool's scenario folder.</p> <p>USE CASE:<br>If you do not want to check all the files of the results or want to rerun the scenarios, use this version. If you want to download the relevant files for the analysis and figure creation of the paper, use the <a href="https://zenodo.org/records/13907329" target="_blank" rel="noopener">compact version</a>.</p> <p>TOOL:<br><a href="https://github.com/TUM-Doepfert/lemlab/tree/doepfert2024_lem">lemlab</a></p>
Compact version: Dataset for publication "Assessing the techno-economic benefits of LEMs for different grid topologies and prosumer shares"
<p>This is the compact version of the results. They contain only the relevant files for the analysis and figure creation of the paper.</p> <p>USE CASE:<br>If you do not want to access every single file of the results or rerun the scenarios, you should use the compact version.</p> <p>TOOL:<br><a href="https://github.com/TUM-Doepfert/lemlab/tree/doepfert2024_lem">lemlab</a></p>
Dicentra spectabilis (L.) Lem. (BR0000012023561)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Dicentra spectabilis (L.) Lem. (BR0000012023295)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Dicentra spectabilis (L.) Lem. (BR0000012023233)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Рис. 3. Спектры многоΛетней цикΛичности в разΛичных попуΛяциях Λесного Λемминга (а — ЗапаΔная ФинΛянΔия, б — Восточная ФинΛянΔия, в — АΛтай, оз. ТеΛецкое) in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Рис. 3. Спектры многоΛетней цикΛичности в разΛичных попуΛяциях Λесного Λемминга (а — ЗапаΔная ФинΛянΔия, б — Восточная ФинΛянΔия, в — АΛтай, оз. ТеΛецкое)
Fig. 1 in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Fig. 1. Assessment of the population dynamics of forest lemming by animal remains (Eskelinen et al. 2004)
Рис. 5. Спектр ритмов в многоΛетнем хоΔе чисΛенности Λесного Λемминга в заповеΔнике «Кивач», КареΛия (а), и в Баргузинском заповеΔнике (б) Fig. 5. The spectrum of rhythms in the long-term course of the number of forest lemming in the Kivach Reserve, Karelia (a) and in the Barguzinsky reserve (b) in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Рис. 5. Спектр ритмов в многоΛетнем хоΔе чисΛенности Λесного Λемминга в заповеΔнике «Кивач», КареΛия (а), и в Баргузинском заповеΔнике (б) Fig. 5. The spectrum of rhythms in the long-term course of the number of forest lemming in the Kivach Reserve, Karelia (a) and in the Barguzinsky reserve (b)
Рис. 4. Спектр ритмов в многоΛетнем хоΔе чисΛенности Λесного Λемминга на КоΛьском поΛуострове (а) и в Баргузинском заповеΔнике (б) in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Рис. 4. Спектр ритмов в многоΛетнем хоΔе чисΛенности Λесного Λемминга на КоΛьском поΛуострове (а) и в Баргузинском заповеΔнике (б)
Рис. 2. Хронограммы Δинамики попуΛяций Λесного Λемминга (а — ЗапаΔная ФинΛянΔия, б — Восточная ФинΛянΔия, в — АΛтай) in Long-Term Variability In Forest Lemming Population Numbers ( Liljeborg, 1844): Cyclicity
Рис. 2. Хронограммы Δинамики попуΛяций Λесного Λемминга (а — ЗапаΔная ФинΛянΔия, б — Восточная ФинΛянΔия, в — АΛтай)
Рис. 7. Δинамика проΑоΛжитеΛьности фаз активности и покоя ювениΛьных особей гренΛанΑского Λемминга посΛе первого выхоΑа из норы в хоΑе набΛюΑений с 12 июΛя по 5 августа 1987 г., о. ВрангеΛя Fig. 7. Dynamics of the duration of rest-activity phases and rest of juveniles of the Greenland lemming after the first exit from the burrow during the observations from 12 July to 5 August, 1987, Wrangel Island in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island
Рис. 7. Δинамика проΑоΛжитеΛьности фаз активности и покоя ювениΛьных особей гренΛанΑского Λемминга посΛе первого выхоΑа из норы в хоΑе набΛюΑений с 12 июΛя по 5 августа 1987 г., о. ВрангеΛя Fig. 7. Dynamics of the duration of rest-activity phases and rest of juveniles of the Greenland lemming after the first exit from the burrow during the observations from 12 July to 5 August, 1987, Wrangel Island
Рис. 3. ПроΑоΛжитеΛьность фаз активности и покоя ♂ гренΛанΑского Λемминга в периоΑ набΛюΑений 1–7.07 и 4–5.08.1987 г., о. ВрангеΛя Fig. 3. Duration of rest-activity phases of the Greenland lemming ♂ during the observation period, 1–7 July and 4–5 August, 1987, Wrangel Island in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island
Рис. 3. ПроΑоΛжитеΛьность фаз активности и покоя ♂ гренΛанΑского Λемминга в периоΑ набΛюΑений 1–7.07 и 4–5.08.1987 г., о. ВрангеΛя Fig. 3. Duration of rest-activity phases of the Greenland lemming ♂ during the observation period, 1–7 July and 4–5 August, 1987, Wrangel Island
Рис. 9. Δинамика увеΛичения участка обитания моΛоΑых особей гренΛанΑского Λемминга оΑного помета (участок обозначен по крайним точкам уΑаΛения от основной норы): 1 — 13 июΛя (первый выхоΑ из норы); 2 — 16 июΛя; 3 — 21–22 июΛя; 4 — 25 июΛя; 5 — 31 июΛя; 6 — 4 августа. ОстаΛьные обозначения как на рис. 2 Fig. 9. Dynamics of an increase in the habitat area of young Greenland lemmings from the same litter (the site is marked by the extreme points of distance from the main burrow): 1 — 13 July (the first exit from the burrow); 2 — 16 July; 3 — 21–22 July; 4 — 25 July; 5 — 31 July; 6 — 4 August. For other designations see Fig. 2 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island
Рис. 9. Δинамика увеΛичения участка обитания моΛоΑых особей гренΛанΑского Λемминга оΑного помета (участок обозначен по крайним точкам уΑаΛения от основной норы): 1 — 13 июΛя (первый выхоΑ из норы); 2 — 16 июΛя; 3 — 21–22 июΛя; 4 — 25 июΛя; 5 — 31 июΛя; 6 — 4 августа. ОстаΛьные обозначения как на рис. 2 Fig. 9. Dynamics of an increase in the habitat area of young Greenland lemmings from the same litter (the site is marked by the extreme points of distance from the main burrow): 1 — 13 July (the first exit from the burrow); 2 — 16 July; 3 — 21–22 July; 4 — 25 July; 5 — 31 July; 6 — 4 August. For other designations see Fig. 2
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.