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Vanderpool 41SM77 FIN-S12

3D laser scan data for Caddo NAGPRA vessels from the Vanderpool site (41SM77) in Smith County, Texas. All vessels were scanned using a ZScanner700CX running VXElements 2.0 via the scanner direct control function in Geomagic Design X, and the collection can also be accessed here (http://crhr-archive.sfasu.edu/handle/123456789/92).  Many thanks to the Caddo Nation of Oklahoma and the Gregg County Historical Museum for permissions and access.

Vanderpool 41SM77 FIN-S25

3D laser scan data for Caddo NAGPRA vessels from the Vanderpool site (41SM77) in Smith County, Texas. All vessels were scanned using a ZScanner700CX running VXElements 2.0 via the scanner direct control function in Geomagic Design X, and the collection can also be accessed here (http://crhr-archive.sfasu.edu/handle/123456789/92). Many thanks to the Caddo Nation of Oklahoma and the Gregg County Historical Museum for permissions and access.

Vanderpool 41SM77 FIN-S6

Vanderpool 41SM77 FIN-S3

opencc-by-4.0Apr 2022View details →

zenodo44/100

Synthetic population for FIN

Synthetic populations for regions of the World (SPW) | FinlandDataset informationA synthetic population of a region as provided here, captures the people of the region with selected demographic attributes, their organization into households, their assigned activities for a day, the locations where the activities take place and thus where interactions among population members happen (e.g., spread of epidemics). License<a href="https://creativecommons.org/licenses/by/4.0/">CC-BY-4.0</a> AcknowledgmentThis project was supported by the National Science Foundation under the NSF RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks (PI: Madhav Marathe, Co-PIs: Henning Mortveit, Srinivasan Venkatramanan; Fund Number: OAC-2027541). Contact informationHenning.Mortveit@virginia.edu Identifiers<table> <thead><tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td>Region name</td> <td>Finland</td> </tr> <tr> <td>Region ID</td> <td>fin</td> </tr> <tr> <td>Model</td> <td>coarse</td> </tr> <tr> <td>Version</td> <td>0_9_0</td> </tr> </tbody> </table> Sources<table> <thead><tr> <th>Description</th> <th>Name</th> <th>Version</th> <th>Url</th> </tr> </thead> <tbody> <tr> <td>Activity template data</td> <td>World Bank</td> <td>2021</td> <td><a href="https://data.worldbank.org">https://data.worldbank.org</a></td> </tr> <tr> <td>Administrative boundaries</td> <td>ADCW</td> <td>7.6</td> <td><a href="https://www.adci.com/adc-worldmap">https://www.adci.com/adc-worldmap</a></td> </tr> <tr> <td>Curated POIs based on OSM</td> <td>SLIPO/OSM POIs</td> <td></td> <td><a href="http://slipo.eu/?p=1551">http://slipo.eu/?p=1551</a> <a href="https://www.openstreetmap.org/">https://www.openstreetmap.org/</a></td> </tr> <tr> <td>Household data</td> <td>DYB</td> <td></td> <td><a href="https://unstats.un.org/unsd/demographic/products/dyb/dyb_Household/dyb_household.htm">https://unstats.un.org/unsd/demographic/products/dyb/dyb_Household/dyb_household.htm</a></td> </tr> <tr> <td>Population count with demographic attributes</td> <td>GPW</td> <td>v4.11</td> <td><a href="https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11">https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11</a></td> </tr> </tbody> </table> Files descriptionBase data files (fin_data_v_0_9.zip)<table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>fin_person_v_0_9.csv</code></td> <td>Data for each person including attributes such as age, gender, and household ID.</td> </tr> <tr> <td><code>fin_household_v_0_9.csv</code></td> <td>Data at household level.</td> </tr> <tr> <td><code>fin_residence_locations_v_0_9.csv</code></td> <td>Data about residence locations</td> </tr> <tr> <td><code>fin_activity_locations_v_0_9.csv</code></td> <td>Data about activity locations, including what activity types are supported at these locations</td> </tr> <tr> <td><code>fin_activity_location_assignment_v_0_9.csv</code></td> <td>For each person and for each of their activities, this file specifies the location where the activity takes place</td> </tr> </tbody> </table> Derived data files<table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>fin_contact_matrix_v_0_9.csv</code></td> <td>A POLYMOD-type contact matrix constructed from a network representation of the location assignment data and a within-location contact model.</td> </tr> </tbody> </table> Validation and measures files<table> <thead><tr> <th>Filename</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td><code>fin_household_grouping_validation_v_0_9.pdf</code></td> <td>Validation plots for household construction</td> </tr> <tr> <td><code>fin_activity_durations_{adult,child}_v_0_9.pdf</code></td> <td>Comparison of time spent on generated activities with survey data</td> </tr> <tr> <td><code>fin_activity_patterns_{adult,child}_v_0_9.pdf</code></td> <td>Comparison of generated activity patterns by the time of day with survey data</td> </tr> <tr> <td><code>fin_location_construction_0_9.pdf</code></td> <td>Validation plots for location construction</td> </tr> <tr> <td><code>fin_location_assignement_0_9.pdf</code></td> <td>Validation plots for location assignment, including travel distribution plots</td> </tr> <tr> <td><code>fin_fin_ver_0_9_0_avg_travel_distance.pdf</code></td> <td>Choropleth map visualizing average travel distance</td> </tr> <tr> <td><code>fin_fin_ver_0_9_0_travel_distr_combined.pdf</code></td> <td>Travel distance distribution</td> </tr> <tr> <td><code>fin_fin_ver_0_9_0_num_activity_loc.pdf</code></td> <td>Choropleth map visualizing number of activity locations</td> </tr> <tr> <td><code>fin_fin_ver_0_9_0_avg_age.pdf</code></td> <td>Choropleth map visualizing average age</td> </tr> <tr> <td><code>fin_fin_ver_0_9_0_pop_density_per_sqkm.pdf</code></td> <td>Choropleth map visualizing population density</td> </tr> <tr> <td><code>fin_fin_ver_0_9_0_pop_size.pdf</code></td> <td>Choropleth map visualizing population size</td> </tr> </tbody> </table>

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Receptes de TV3 fins el dia 7/11/2024

<h1>Receptes de cuina de la cadena tv3</h1> El joc de dades és un conjunt de receptes de cuina extretes de la pàgina de TV3. Consta de gran part de les preparacions culinaries dutes a terme a la cadena catalana, hem prioritzat la classificació de les diferents dades per fer una cerca ràpida de receptes i, per aquest motiu, tenim camps de dificultat, temps, ingredients i tags entre d’altres camps. L’ús ideal seria complimentar aquestes dades amb la pàgina web del cuines: <a href="https://www.3cat.cat/tv3/cuines/receptes/">https://www.3cat.cat/tv3/cuines/receptes/</a>. Recepta: <ul> <li> Nom: és un cadena de caracters que descriu el nom de la recepta. </li> <li> Link: és una cadena de caracters que descriu la url de la recepta. </li> <ul> <li> Pagina: és un enter que ens diu en quina pàgina del 3cat es troba la recepta. </li> </ul> <li> Imatge: és una cadena de caràcters que descriu la url de la imatge corresponent a la recepta. </li> <li> Dificultat: és una cadena de caracters que ens mostra la dificultat de la recepta en tres possibles valors: “Baixa”, “Mitjana”, “Alta”. </li> <li> Temps. és una cadena de caràcters que ens descriu el temps que es necessita per a cuinar la recepta. es tracta d’una frase de l’estil: “menys d’una hora” o “menys de 30 minuts”. De vegades te numeros i de vegades no. si volem convertir-ho en un valor numèric necessitarem realitzar-hi transformacions. </li> <li> Dieta: és una cadena de caràcters que ens descriu si la recepta forma part d’algun tipus de dieta específica amb valors diferents com són: “Vegana”, “Vegetariana”, “Sense gluten”, “Sense lactosa”, “Per a hipertensos”, “Per a esportistes”, “Per a embarassades”. </li> <li> Ingredients: és una llista de cadenes de caràcters on cada element de la llista és un ingredient i la seva corresponent quantitat escrit en una frase planera.  </li> <li> Preparacio: és una llista de cadenes de caràcters on cada element de la llista és un pas en la preparació de la recepta.  </li> <li> Tags: és una llista de cadenes de caràcters on cada element de la llista és un ingredient rellevant en la recepta </li> </ul>   Aquí tenim un exemple d’un element del dataset: <table> <tbody> <tr> <td> Nom </td> <td> Link </td> <td> Pagina </td> <td> Imatge </td> <td> Dificultat </td> <td> Temps </td> <td> Dieta </td> <td> Ingredients </td> <td> Preparacio </td> <td> Tags </td> </tr> <tr> <td> Crema de moniato i carbassa </td> <td> <a href="https://www.3cat.cat/tv3/cuines/recepta/crema-de-moniato-i-carbassa/44696/">https://www.3cat.cat/tv3/cuines/recepta/crema-de-moniato-i-carbassa/44696/</a> </td> <td> 1 </td> <td> <a href="https://img.3cat.cat/multimedia/jpg/3/9/1728461282093_326.jpg">https://img.3cat.cat/multimedia/jpg/3/9/1728461282093_326.jpg</a> </td> <td> Baixa </td> <td> Més d'una hora </td> <td> </td> <td> ['Mitja carbassa cacauet (800 g)1 moniato90 g pernil ibèric750 ml brou de verduresSidraFarigola frescaRomaní frescCúrcumaGingebreMentaJulivertOli OVEPebre negreSal',...', 'Oli OVE', 'Pebre negre', 'Sal'] </td> <td> ['1. Rentem el moniato i la carbassa.\xa0\xa0', '2. Tallem la carbassa per la meitat.\xa0', ..., '14.\xa0Piquem la menta i el julivert.\xa0', "15. Finalment, servim la crema en un plat, hi posem el pernil cruixent, la menta, el julivert i un raig d'oli.\xa0"] </td> <td> ['Porc', 'Farigola', 'Carbassa', 'Pebre negre', 'Cúrcuma', 'Gingebre', 'Romaní'] </td> </tr> </tbody> </table>

opencc-by-sa-4.0Nov 2024View details →

opencc-by-4.0Dec 2015View details →

FIG. 3 in Être un ovin malade en Bas-Berry (fin XVIII - milieu XX siècle)

FIG. 3. — Bergère avec son chien et ses moutons (Archives départementales de l'Indre, cote 48 JB 495).

opencc-by-4.0Sep 2015View details →

Dataset from Annual Acoustic Presence of Fin Whale (Balaenoptera physalus) Offshore Eastern Sicily, Central Mediterranean Sea

This dataset is form the study:  Sciacca V., Caruso F.,Beranzoli L., Chierici F., De Domenico E., Embriaco D., Favali P., Giovanetti G., Larosa G., Marinaro G., Papale E., Pavan G., Pellegrino C., Pulvirenti S., Simeone F., Viola S., and G. Riccobene. "Annual Acoustic Presence of Fin Whale (Balaenoptera physalus) Offshore Eastern Sicily, Central Mediterranean Sea." PLoS ONE 10(11): e0141838. doi:10.1371/journal.pone.0141838 The archives labeled YYYYMM_Spectrograms.zip contain the data from each  month of passive acoustic recording -MM- of the years -YYYY- 2012 and 2013. Data consist of the spectrograms (1-50 Hz) of 10-min audio recordings, in PNG format files. These data were used in the cited study to verify the presence of fin whale calls. The archive labeled "NoiseData.zip" consists of two matrix (ASCII format) containing the recorded values of acoustic noise within the fin whale call frequency band.

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Data and R code from: Fin whale song evolution in the North Atlantic

Animal songs can change within and between populations as the result of different evolutionary processes. When these processes include cultural transmission, the social learning of information or behaviours from conspecifics, songs can undergo rapid evolutions because cultural novelties can emerge more frequently than genetic mutations. Understanding these song variations over large temporal and spatial scales can provide insights into the patterns, drivers and limits of song evolution that can ultimately inform on the species' capacity to adapt to rapidly changing acoustic environments. In this study, we analysed changes in fin whale (Balaenoptera physalus) songs recorded over two decades (1999–2020) across the central and eastern North Atlantic Ocean. We document a rapid replacement of song INIs (inter-note intervals) over just four singing seasons (2000/2001–2004/2005) in the southeast location of the Oceanic Northeast Atlantic (ONA) region, that co-occurred with hybrid songs (with both INIs). During the transition in song INIs (2002/2003) we show a clear geographic gradient in the occurrence of different song INIs in the whole ONA region. We also found gradual changes in song INIs (Figure 3A) and 20-Hz note (Figure 3B) and HF note (Figure 3C) peak frequencies over more than a decade with fin whales adopting song changes. These results provide evidence of vocal learning in fin whales and reveal patterns of song evolution that raise questions on the limits of song variation in this species.

opencc-zeroDec 2023View details →

opencc-by-4.0Dec 2023View details →

Data for: Understanding consumers to inform market interventions for Singapore's shark fin trade

<ol> <li>Sharks, rays and their cartilaginous relatives (Class Chondricthyes, herein 'sharks') are amongst the world's most threatened species groups, primarily due to overfishing, which in turn is driven by complex market forces including demand for fins. Understanding the high-value shark fin market is a global priority for conserving shark and rays, yet the preferences of shark fin consumers are not well understood. This gap hinders the design of evidence-based consumer-focused conservation interventions. </li> <li>Using an online discrete choice experiment, we explored preferences for price, quality, size, menu types (as a proxy for exclusivity) and source of fins (with varying degrees of sustainability) among 300 shark fin consumers in Singapore: a global entrepot for shark fin trade. </li> <li>Overall, consumers preferred lower-priuced fins sourced from responsible fisheries or produced using novel lab-cultured techniques. We also identified four consumer segments, each with distinct psychographics characteristics and consumption behaviors. </li> <li>These preferences and profiles could be leveraged to inform new regulatory and market-based interventions regarding the sale and consumption of shark fins, and incentivize responsible fisheries and lab-cultured innovation for delivering conservation and sustainability goals. </li> <li>In addition, message framing around health benefits, shark endangerment and counterfeiting could reinforce existing beliefs amongst consumers in Singapore and drive behavioral shifts to ensure that market demand remains within the limits of sustainable supply. </li> </ol> This dataset includes all the responses collected from the online discrete choice experiment which was implemented by a market survey company, as well as the goodness-of-fit chi-square analyses. These data were also used to plot the figures in the manuscript and the Supplemental Information. Password for excel sheet titled 'Final CEOE data' is 35433. Please refer to the published manuscript for more detailed information. The authors received financial support from Silverstrand Capital awarded to Wildlife Conservation Society for the research, authorship, and publication of this work.

opencc-by-4.0Apr 2023View details →

Figure 3. Acanthodian fin spines and scapulocoracoid. A-C in Acanthodian fauna from the Early Devonian (Emsian) of Death Valley, California

Figure 3. Acanthodian fin spines and scapulocoracoid. A-C, Bryantonchus peracutus: A, B complete spine FMNH-PF14564; C, proximal end of spine FMNH-PF14568. D, E, Machaeracanthus sp.: D, incomplete spine FMNH-PF14573, lateral view; E, abraded spine FMNH-PF14574, dorsoventrally compressed. F-H, acanthodian indet. scapulocoracoid: F, counterpart FMNH-PF14575; G, part FMNH-PF14576; H, outline sketch. Abbreviations: IEB, insertion-exsertion boundary; k/w, worn keel or wing; plac, placoderm plate; le, leading edge; te, trailing edge; teg, trailing edge groove. Scale bars=0.5 mm in A, C–E, 0.1 mm in B, F–H.

opencc-by-4.0Sep 2018View details →

Caudal fin area: body length ratio (A:L 2; mean..) FIGURE 5 CF s S E measured from photographs of Salmo trutta parr at 20 and 32 weeks after exercise treatment initiation. A:L 2 values between the two CF s groups were significantly different (Welch's two sample t- test p <0.05) in Body shape and robustness response to water flow during development of brown trout Salmo trutta parr

Caudal fin area: body length ratio (A:L 2; mean..) FIGURE 5 CF s S E measured from photographs of Salmo trutta parr at 20 and 32 weeks after exercise treatment initiation. A:L 2 values between the two CF s groups were significantly different (Welch's two sample t- test p <0.05)

opencc-by-4.0Jan 2020View details →

Fig. 3 in Feeding convergence among ray-finned fishes: Teeth of the herbivorous actinopterygians from the latest Permian of East European Platform, Russia

Fig. 3. Comparison of teeth of actinopterygian fish Isadia spp. from the Late Permian of Sokovka, Russia with their Recent equivalents. A, B. Isadia aristoviensis. C–E. Labeotropheus fuelleborni (C from Streelman et al. 2003; D, E from Abertson and Kocher 2006). F, G. Isadia suchonensis. H, J. Monotocheirodon kontos (from Menezes et al. 2013). I. Bryconamericus lethostigmus (from Hirschmann et al. 2017). K, L. Isadia arefievi. M–O. Eretmodus cyanosticus (M from Rüber et al. 1999; N, O from Boulenger 1915). Not to scale.

opencc-by-4.0Jan 2020View details →

Fig. 2 in Feeding convergence among ray-finned fishes: Teeth of the herbivorous actinopterygians from the latest Permian of East European Platform, Russia

Fig. 2. The isolated teeth of actinopterygian fish Isadia from the Sokovka outcrop, Vyazniki, Russia, late Permian (Upper Vyatkian). A–D. Isadia aristoviensis Minikh, 1990, mandibulary teeth. A. ZPAL V.51/1, lingual view. B. ZPAL V.51/2, labial view. C. ZPAL V.51/3, lingual view. D. ZPAL V.51/4, labial view. E–I. Isadia aristoviensis Minikh, 1990, maxillary teeth. E. ZPAL V.51/6, lingual view. F. ZPAL V.51/7, labial view. G. ZPAL V.51/5, lingual view. H. ZPAL V.51/8, lingual view. I. ZPAL V.51/9, labial view. J. Isadia arefievi Minikh, 2015, ZPAL V.51/10, mandibular tooth,?lingual view. K, L. Isadia suchonensis Minikh, 1986, mandibular teeth. K. ZPAL V.51/11, lingual (K1) and lateral (K2) views. L. ZPAL V.51/12, labial view. M. Isadia suchonensis Minikh, 1986, ZPAL V.51/13, maxillary teeth,?labial view. Scale bars 1 mm (A–I), 0.5 mm (J, K, M), 0.2 mm (L).

opencc-by-4.0Jan 2020View details →

Fig. 1 in Feeding convergence among ray-finned fishes: Teeth of the herbivorous actinopterygians from the latest Permian of East European Platform, Russia

Fig. 1. Location of the fish-bearing site and details of the exposed section. A. Map of the Eastern Europe with position of Vyazniki (BY, Belarus, LV, Latvia; EST, Estonia; LT, Lithuania). B. The area around the town of Vyazniki with position of Sokovka site (star). C. Photograph of the Sokovka section from 2013 and exposure of the fish-bearing deposits. D. The simplified section from Sokovka site showing the fish-bearing layers. Modified from Newell et al. 2010, Owocki et al. 2012, and Bajdek et al. 2017.

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Historical baleen plates indicate that once abundant Antarctic blue and fin whales demonstrated distinct migratory and foraging strategies

Southern hemisphere blue (Balaenoptera musculus intermedia) and fin (Balaenoptera physalus) whales are the largest predators in the Southern Ocean, with similarities in morphology and distribution. Yet, understanding of their life history and foraging is limited due to current low abundances and limited ecological data. To address these gaps, historic Antarctic blue (n = 5) and fin (n = 5) whale baleen plates, collected in 1947–1948 and recently rediscovered in the Smithsonian National Museum of Natural History, were analyzed for bulk (δ13C and δ15N) stable isotopes. Regular oscillations in isotopic ratios, interpreted as annual cycles, revealed that baleen plates contain approximately six years (14.35 ± 1.20 cm yr–1) of life history data in blue whales and four years (16.52 ± 1.86 cm yr–1) in fin whales. Isotopic results suggest that: 1) in the 1940s, blue and fin whales fed at the same trophic level but in slightly different habitats, 2) fin whales appear to have had more regular annual migrations, and 3) fin whales may have migrated to ecologically distinct sub-Antarctic waters annually while some blue whales may have resided year-round in the Southern Ocean. These results reveal differences in ecological niche and life history strategies between Antarctic blue and fin whales during a period when their populations were more abundant than today, and before major human-driven climatic changes occurred in the Southern Ocean.

opencc-zeroApr 2024View details →