Find research datasets worth reusing

opencc-by-4.0Aug 2019View details →

OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information

OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information This repository contains the official data from a USDOE-funded project at Carnegie Mellon University and Bosch Research Pittsburgh.  The primary goal of the project was to investigate the relationship between indoor commercial building occupant thermal comfort and various biometric and environmental predictors. We performed 77 individual comfort experiments, approved by our Institutional Review Board (IRB) and in satisfaction of participant consent guidelines. Our goal was to generate a dataset than enables comprehensive study of human thermal comfort preferences, in a commercial building environment, across a wide range of indoor environmental conditions. The data is comprised of the following feature groups: depth camera frames, biometrics sensor data, body shape information, subjective comfort data from the mobile device application, environmental sensor data from the commercial building HVAC system, and outdoor weather station data. This is the official dataset release for the following conference paper: <blockquote> Jonathan Francis*, Matias Quintana*, Nadine von Frankenberg, Sirajum Munir, and Mario Bergés. 2019. OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information. In BuildSys '19: ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, November 13–14, 2019, New York, NY. ACM, New York, NY, USA, 10 pages. </blockquote> To use this dataset, first download all the files. Next, issue the following commands on, e.g., Linux terminal: <pre><code class="language-bash">>$ cd /path/to/dataset/files >$ cat occutherm_dataset_v0-0-0.tar.gza* > archive.tar.gz >$ tar -xvzf archive.tar.gz</code></pre> Modeling and mobile application code are available in our project repository: <a href="https://github.com/jonfranc/occutherm">https://github.com/jonfranc/occutherm</a> If you find the repository or the dataset useful, please cite our paper: <pre><code>@inproceedings{francis_buildsys2019, author = {Francis, Jonathan and Quintana, Matias and von Frankenberg, Nadine and Munir, Sirajum and Berges, Mario}, title = {OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information}, booktitle = {Proceedings of the 6th International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation}, series = {BuildSys '19}, year = {2019}, isbn = {978-1-4503-7005-9/19/11}, location = {New York, NY}, numpages = {10}, acmid = {3360858}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Thermal Comfort, Human Studies, Machine Learning}, }</code></pre>

opencc-by-4.0Sep 2019View details →

Datasets for "Intraspecific interactions in the annual legume Medicago minima are shaped by both genetic variation for competitive ability and reduced competition among kin"

Datasets for “Intraspecific interactions in the annual legume Medicago minima are shaped by both genetic variation for competitive ability and reduced competition among kin” Two datasets are provided. root_behavior_experiment_for_ms.csv: provides data relative to a root behaviour experiment where Medicago minima genotypes grew either with a kin or a non kin. Direction of root growth, root length and biomass were measured. Medicago_minima_biomass_dataMerge.csv: provides data relative to a minicommunity experiment where Medicago minima genotypes were grown surrounded by three kin genotypes, or three non-kin genotypes (i.e. stranger to the central plant but identical to each other) or three stranger genotypes (stranger to the central plant and to each other). For this second experiment above-ground growth and biomass were monitored. Detailed information on the dataset variables are provided in the metadata file. Code for data wrangling and analyses is included in the manuscript as an appendix.

openother-openSep 2019View details →

Shaping photovoltaic array output to align with changing wholesale electricity price profiles

This repository includes python scripts and input/output data associated with the following publication: [1] Brown, P.R.; O'Sullivan, F. "Shaping photovoltaic array output to align with changing wholesale electricity price profiles." Applied Energy 2019. <a href="http://doi.org/10.1016/j.apenergy.2019.113734">https://doi.org/10.1016/j.apenergy.2019.113734</a> Please cite reference [1] for full documentation if the contents of this repository are used for subsequent work. Some of the scripts and data are also used in the following working paper: [2] Brown, P.R.; O'Sullivan, F. "Spatial and temporal variation in the value of solar power across United States electricity markets". Working Paper, MIT Center for Energy and Environmental Policy Research. 2019. <a href="http://ceepr.mit.edu/publications/working-papers/705">http://ceepr.mit.edu/publications/working-papers/705</a> All code is in python 3 and relies on a number of dependencies that can be installed using pip or conda. Contents <ul> <li>pvvm.zip : Python module with functions for modeling PV generation, calculating PV revenues and capacity factors, and optimizing PV orientation.</li> <li>notebooks.zip : Jupyter notebooks, including: <ul> <li>pvvm-pvtos-data.ipynb: Example scripts used to download and clean input LMP data, determine LMP node locations, and reproduce some figures in reference [1]</li> <li>pvvm-pvtos-analysis.ipynb: Example scripts used to perform the calculations and reproduce some figures in reference [1]</li> <li>pvvm-pvtos-plots.ipynb: Scripts used to produce additional figures in reference [1]</li> <li>pvvm-example-generation.ipynb: Example scripts demonstrating the usage of the PV generation model and orientation optimization</li> </ul> </li> <li>html.zip : Static images of the above Jupyter notebooks for viewing without a python kernel</li> <li>data.zip : Day-ahead and real-time nodal locational marginal prices (LMPs) for CAISO, ERCOT, MISO, NYISO, and ISONE. <ul> <li>At the time of publication of this repository, permission had not been received from PJM to republish their LMP data. If permission is received in the future, a new version of this repository will linked here with the complete dataset.</li> </ul> </li> <li>results.zip : Simulation results associated with reference [1] above, including modeled revenue, capacity factor, and optimized orientations for PV systems at all LMP nodes</li> </ul> Data terms and usage notes <ul> <li>ISO LMP data are used with permission from the different ISOs. Adapting the MIT License (<a href="http://opensource.org/licenses/MIT">https://opensource.org/licenses/MIT</a>), "The data are provided 'as is', without warranty of any kind, express or implied, including but not limited to the warranties of merchantibility, fitness for a particular purpose and noninfringement. In no event shall the authors or sources be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the data or other dealings with the data." Copyright and usage permissions for the LMP data are available on the ISO websites, linked below.</li> <li>ISO-specific notes: <ul> <li>CAISO data from <a href="http://oasis.caiso.com/mrioasis/logon.do">http://oasis.caiso.com/mrioasis/logon.do</a> are used pursuant to the terms at <a href="http://www.caiso.com/Pages/PrivacyPolicy.aspx#TermsOfUse">http://www.caiso.com/Pages/PrivacyPolicy.aspx#TermsOfUse</a>.</li> <li>ERCOT data are from <a href="http://www.ercot.com/mktinfo/prices">http://www.ercot.com/mktinfo/prices</a>.</li> <li>MISO data are from <a href="http://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/">https://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/</a> and <a href="https://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/market-report-archives/">https://www.misoenergy.org/markets-and-operations/real-time--market-data/market-reports/market-report-archives/</a>.</li> <li>PJM data were originally downloaded from <a href="https://www.pjm.com/markets-and-operations/energy/day-ahead/lmpda.aspx">https://www.pjm.com/markets-and-operations/energy/day-ahead/lmpda.aspx</a> and <a href="https://www.pjm.com/markets-and-operations/energy/real-time/lmp.aspx">https://www.pjm.com/markets-and-operations/energy/real-time/lmp.aspx</a>. At the time of this writing these data are currently hosted at <a href="https://dataminer2.pjm.com/feed/da_hrl_lmps">https://dataminer2.pjm.com/feed/da_hrl_lmps</a> and <a href="https://dataminer2.pjm.com/feed/rt_hrl_lmps">https://dataminer2.pjm.com/feed/rt_hrl_lmps</a>.</li> <li>NYISO data from <a href="http://mis.nyiso.com/public/">http://mis.nyiso.com/public/</a> are used subject to the disclaimer at <a href="https://www.nyiso.com/legal-notice">https://www.nyiso.com/legal-notice</a>.</li> <li>ISONE data are from <a href="https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-da-hourly">https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-da-hourly</a> and <a href="https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-rt-hourly-final">https://www.iso-ne.com/isoexpress/web/reports/pricing/-/tree/lmps-rt-hourly-final</a>. The Material is provided on an "as is" basis. ISO New England Inc., to the fullest extent permitted by law, disclaims all warranties, either express or implied, statutory or otherwise, including but not limited to the implied warranties of merchantability, non-infringement of third parties' rights, and fitness for particular purpose. Without limiting the foregoing, ISO New England Inc. makes no representations or warranties about the accuracy, reliability, completeness, date, or timeliness of the Material. ISO New England Inc. shall have no liability to you, your employer or any other third party based on your use of or reliance on the Material.</li> </ul> </li> <li>Data workup: LMP data were downloaded directly from the ISOs using scripts similar to the pvvm.data.download_lmps() function (see below for caveats), then repackaged into single-node single-year files using the pvvm.data.nodalize() function. These single-node single-year files were then combined into the dataframes included in this repository, using the procedure shown in the pvvm-pvtos-data.ipynb notebook for MISO. We provide these yearly dataframes, rather than the long-form data, to minimize file size and number. These dataframes can be unpacked into the single-node files used in the analysis using the pvvm.data.copylmps() function.</li> </ul> Code license and usage notes <ul> <li>Code (*.py and *.ipynb files) is provided under the <a href="https://opensource.org/licenses/MIT">MIT License</a>, as specified in the pvvm/LICENSE file.</li> <li>Updates to the code, if any, will be posted in the non-static repository at <a href="https://github.com/patrickbrown4/pvvm_pvtos">https://github.com/patrickbrown4/pvvm_pvtos</a>.  The code in the present repository has the following version-specific dependencies: <ul> <li>matplotlib: 3.0.3</li> <li>numpy: 1.16.2</li> <li>pandas: 0.24.2</li> <li>pvlib: 0.6.1</li> <li>scipy: 1.2.1</li> <li>tqdm: 4.31.1</li> </ul> </li> <li>To use the NSRDB download functions, modify the "settings.py" file to insert a valid NSRDB API key, which can be requested from <a href="https://developer.nrel.gov/signup/">https://developer.nrel.gov/signup/</a>. Locations can be specified by passing latitude, longitude floats to pvvm.data.downloadNSRDBfile(), or by passing a string googlemaps query to pvvm.io.queryNSRDBfile(). To use the googlemaps functionality, request a googlemaps API key (<a href="https://developers.google.com/maps/documentation/javascript/get-api-key">https://developers.google.com/maps/documentation/javascript/get-api-key</a>) and insert it in the "settings.py" file.</li> <li>Note that many of the ISO websites have changed in the time since the functions in the pvvm.data module were written and the LMP data used in the above papers were downloaded. As such, the pvvm.data.download_lmps() function no longer works for all ISOs and years. We provide this function to illustrate the general procedure used, and do not intend to maintain it or keep it up to date with the changing ISO websites. For up-to-date functions for accessing ISO data, the following repository (no connection to the present work) may be helpful: <a href="https://github.com/catalyst-cooperative/pudl">https://github.com/catalyst-cooperative/pudl</a>.</li> </ul>

opencc-by-4.0Jun 2024View details →

FIG. 4 in Shell shape variation of the symbiotic gastropod Phenacovolva rosea (Ovulidae) in Vietnam

FIG. 4. ANOVA tests of width-to-height ratio of P. rosea shells across different host species, vertical bars denote 0,95 confidence intervals. A. In three northern locations (current effect: F(2, 23)=,09015, p=,91411). B. In Nha Trang (F(2, 12)=1,4096, p=,281).

opencc-by-4.0Jun 2024View details →

FIG. 1 in Shell shape variation of the symbiotic gastropod Phenacovolva rosea (Ovulidae) in Vietnam

FIG. 1. Map of studied locations. A. Outline of Vietnam highlighting the two studied regions marked with black boxes. B. Detailed map showing the three northern locations: Cat Ba Island, Quan Lan Island, and Co To. C. Map depicting Nha Trang Bay and its islands.

opencc-by-4.0Jun 2024View details →

РИС. 2. ИЗменчивость формы раковины P. rosea. Слева. ВиЗуалиЗация иЗменчивости формы раковины для каЖдой глав- ной компоненты по отдельности, выполнена в программе PrinPrint пакета SHAPE. Справа. Контрастные варианты формы раковины. Все шесть раковин приведены в стандартной поЗиции устьем вверх, для двух иЗ них приведены фото с дорЗальной стороны, как пример иЗобраЖений испольЗованных в аналиЗе силуЭтов. A. Локация – Ня Чанг, хоЗяин – Echinogorgia sp. 2. B. Ко То, Astrogorgia sp. 2. C. Куан Лан, Astrogorgia sp. 3. D. Ня Чанг, Menella sp. E. Ня Чанг, Bebryce sp. F. Ня Чанг, Paraplexaura sp. in Shell shape variation of the symbiotic gastropod Phenacovolva rosea (Ovulidae) in Vietnam

РИС. 2. ИЗменчивость формы раковины P. rosea. Слева. ВиЗуалиЗация иЗменчивости формы раковины для каЖдой глав- ной компоненты по отдельности, выполнена в программе PrinPrint пакета SHAPE. Справа. Контрастные варианты формы раковины. Все шесть раковин приведены в стандартной поЗиции устьем вверх, для двух иЗ них приведены фото с дорЗальной стороны, как пример иЗобраЖений испольЗованных в аналиЗе силуЭтов. A. Локация – Ня Чанг, хоЗяин – Echinogorgia sp. 2. B. Ко То, Astrogorgia sp. 2. C. Куан Лан, Astrogorgia sp. 3. D. Ня Чанг, Menella sp. E. Ня Чанг, Bebryce sp. F. Ня Чанг, Paraplexaura sp.

Fig. 7 in Wing shape is influenced by environmental variability in Polietina orbitalis (Stein) (Diptera: Muscidae)

Fig. 7. Comparison between the PLS analysis (with elevation) and CVA (CV1) showing that individuals with a wider wing phenotype occur in populations living at a maximum elevation of 700 m (A) and those with a thinner wing phenotype occur at elevations over 900 m (B). Localities are as follows: 1. Mbaracayú, 2. Fênix, 3. Jundiaí do Sul, 4. Guarapuava, 5. Ponta Grossa and 6. Colombo.

Fig. 6 in Wing shape is influenced by environmental variability in Polietina orbitalis (Stein) (Diptera: Muscidae)

Fig. 6. Results of the PLS analysis, with Colombo (6), Guarapuava (4) and Ponta Grossa (5) showing negative values and Fênix (2), Jundiaí do Sul (3) and Mbaracayú (1) showing positive values.

Fig. 5 in Wing shape is influenced by environmental variability in Polietina orbitalis (Stein) (Diptera: Muscidae)

Fig. 5. Graphic reconstruction of the wing shape of individuals with (A) positive and (B) negative scores on the second canonical axis (CV2, increased 10 times). The lines in gray represent the average configuration, and those in black represent the second canonical variable.

Fig. 2 in Wing shape is influenced by environmental variability in Polietina orbitalis (Stein) (Diptera: Muscidae)

Fig. 2. Dorsal side of the right wing of P. orbitalis showing (A) the 15 (numbered points) anatomical landmarks and (B) the general shape of the wing based on their positions.

Fig. 1. Map showing sites where P in Wing shape is influenced by environmental variability in Polietina orbitalis (Stein) (Diptera: Muscidae)

Fig. 1. Map showing sites where P. orbitalis populations were collected: 1. Mbaracayú (25◦17Ɩ S, 54◦49Ɩ W) in Paraguay and 2. Fênix (23◦54Ɩ S, 51◦58Ɩ W), 3. Jundiaí do Sul (23◦26Ɩ S, 50◦14Ɩ W), 4. Guarapuava (25◦23Ɩ S, 51◦ 27Ɩ W), 5. Ponta Grossa (25◦ 05Ɩ S, 50◦ 09Ɩ W) and 6. Colombo (25◦17Ɩ S, 49◦13Ɩ W) in Brazil.

opencc-by-4.0Jul 2012View details →

Text-fig. 6. Lunulites(?), deposited in NM Prague under number T 3320. A – optic (scale bar 1 mm) and B – SEM (BSE detector) photography (scale bar 100 µm) showing characters suggesting determination as Lunulites (square shape and linear arrangement of autozooecia, short cryptocyst and presence of vibracularia). in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications

Text-fig. 6. Lunulites(?), deposited in NM Prague under number T 3320. A – optic (scale bar 1 mm) and B – SEM (BSE detector) photography (scale bar 100 µm) showing characters suggesting determination as Lunulites (square shape and linear arrangement of autozooecia, short cryptocyst and presence of vibracularia).

opencc-by-4.0Dec 2019View details →

Figure 1. Photomicrographs ofLepidochaetus zelinkai from live. A, B, E. Specimens, showing the body shape. C, D in Short Communication First record of Lepidochaetus zelinkai (Gastrotricha, Chaetonotida) from India

Figure 1. Photomicrographs ofLepidochaetus zelinkai from live. A, B, E. Specimens, showing the body shape. C, D. Details of mouth, tentacles (arrowheads in C), pharynx (C) and long and thin posterior spine (arrowhead in D). F, G. Anterior and middle portion of a specimen showing mouth, tentacles (arrowheads in F) and internal structures. At, adhesive tubes; C, cirri; EG, epidermal gland; M, mouth; P, pharynx; PJ, pharyngeal junction; Pn, protonephridia; S, scales. Scale bars, 50 μm.

opencc-by-4.0Dec 2014View details →

Text-fig. 7. Cercidiphyllaceae 1–3. Trochodendroides genetrix (NEWBERRY) comb. nov. and associated reproductive structures (4, 5) from Killpecker Cr., Rock Springs, Wyoming (UF loc. 18126). 1. Twig with three attached leaves, showing variation in leaf shape and serration; composite figure assembled from images of both counterparts, UF 35427. 2. Complete leaf including petiole, UF 13243. 3. Same as 2, detail of venation. 4. Nyssidium arcticum (HEER) ILJINSKAYA fruits on an incomplete axis, UF 35454. 5. Dispersed winged seed, UF 35479. Scale = 3 cm in 1, 2; 1 cm in 3, 4; 0.5 cm in 5. in Revisions To Roland Brown'S North American Paleocene Flora

Text-fig. 7. Cercidiphyllaceae 1–3. Trochodendroides genetrix (NEWBERRY) comb. nov. and associated reproductive structures (4, 5) from Killpecker Cr., Rock Springs, Wyoming (UF loc. 18126). 1. Twig with three attached leaves, showing variation in leaf shape and serration; composite figure assembled from images of both counterparts, UF 35427. 2. Complete leaf including petiole, UF 13243. 3. Same as 2, detail of venation. 4. Nyssidium arcticum (HEER) ILJINSKAYA fruits on an incomplete axis, UF 35454. 5. Dispersed winged seed, UF 35479. Scale = 3 cm in 1, 2; 1 cm in 3, 4; 0.5 cm in 5.

Figure 2 in Interspecific and intraspecific size and shape variation in skull of two closely related species Bufo bufo (Linnaeus, 1758) and Bufo verrucosissimus (Pallas, 1814) from Turkey

Figure 2. Location of 17 two-dimensional landmarks on the dorsal (A) and ventral (B) skull side of a common toad. A. Dorsal side: 1. Snout tip, 2. Anterior end of suture between premaxilla and maxilla, 3. Anterior end of nasal, 4. Lateralmost point of nasal, 5. Mostanterior point of frontoparietal, 6. Lateralmost point of nasal (posterior), 7. Middle point of the median edge of frontoparietal, 8. Mostposterior median point of frontoparietal, 9. Posterior end of suture between frontoparietal and prootic, 10. Anterior end of suture between frontoparietal and prootic, 11. Middle point of the lateral edge of frontoparietal, 12. Mostanterior point of squamosal, 13. Posterior end of squamosal in contact with prootic, 14. Mostposterior point of prootic, 15. Mostposterior point of maxilla, 16. Posterior end of quadrate, 17. Medial tip of occipital. B. Ventral side: 1. Anteriormost point of premaxilla, 2. Anteriolateral end of premaxilla, 3. Mostposterior median end of premaxilla, 4. Posteriolateral end of premaxilla, 5. Lateralmost point of vomer, 6. Mostposterior end of vomer, 7. Most median point of palatine, 8. Anteriolateral end of palatine, 9. Posteriolateral end of palatine (anterior end of suture between palatine and pterygoid or anterior end of pterygoid), 10. Posteriomedian end of pterygoid, 11. Posteriolateral end of pterygoid, 12. Lateralmost end of parasphenoid, 13. Mostanterior median end of parasphenoid, 14. Mostposterior median end of parasphenoid, 15. Posterior end of maxilla in contact with quadratojugal, 16. Posterior end of quadratojugal, 17. Mostposterior end of occipital condyl.

Figure 1 in Interspecific and intraspecific size and shape variation in skull of two closely related species Bufo bufo (Linnaeus, 1758) and Bufo verrucosissimus (Pallas, 1814) from Turkey

Figure 1. Distribution map of Bufo bufo (blue) and Bufo verrucosIssImus (yellow) in Turkey according to IUCN Red List and Özdemir et al. (2020), and geographical positions of analysed populations.

Figure 3 in Interspecific and intraspecific size and shape variation in skull of two closely related species Bufo bufo (Linnaeus, 1758) and Bufo verrucosissimus (Pallas, 1814) from Turkey

Figure 3. The positions of the specimens in morphospaces defined by the first two principal axes derived from covariance matrices of skull shape variables. Blue dots; B. bufo, yellow dots; B. verrucosissimus. DC: dorsal cranium, VC: ventral cranium.

Figure. Lateral view and mouth shape of (A) Capoeta damascina, NUIC-1519, 158.9 mm SL; Malatya prov.: Sürgü Stream. TigrisEuphrates basin (B) C. damascina, NUIC-1520, 163.5 mm SL; Gaziantep prov.: Merzimen Stream, Tigris-Euphrates basin (C) C. damascina, NUIC-1521, 152.3 mm SL; Adıyaman prov.: Input of Atatürk Dam Lake, Tigris-Euphrates basin (D) C. damascina, NUIC-1817, 127.3 mm SL; Kilis prov.: Sapkanlı Pond, Orontes basin (E) C. kosswigi, NUIC-1907, 179.3 mm SL; Van prov.: Karasu Stream, Lake Van basin (All from Turkey). in Capoeta kosswigi Karaman, 1969 a junior synonym of Capoeta damascina (Valenciennes, 1842) (Teleostei: Cyprinidae)

Figure. Lateral view and mouth shape of (A) Capoeta damascina, NUIC-1519, 158.9 mm SL; Malatya prov.: Sürgü Stream. TigrisEuphrates basin (B) C. damascina, NUIC-1520, 163.5 mm SL; Gaziantep prov.: Merzimen Stream, Tigris-Euphrates basin (C) C. damascina, NUIC-1521, 152.3 mm SL; Adıyaman prov.: Input of Atatürk Dam Lake, Tigris-Euphrates basin (D) C. damascina, NUIC-1817, 127.3 mm SL; Kilis prov.: Sapkanlı Pond, Orontes basin (E) C. kosswigi, NUIC-1907, 179.3 mm SL; Van prov.: Karasu Stream, Lake Van basin (All from Turkey).

opencc-by-4.0Nov 2021View details →

Figure 5 in Molecular and otolith shape analyses of Scorpaena spp. in the Turkish seas

Figure 5. The dissimilarity of Scorpaena species based on the Euclidian distance, grouping by hierarchical cluster analysis (UPGMA).