cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5441/001/1.1r1s4v8d/2
title: Herring Gulls (Larus Argentatus); Gilchrist; East Bay Island Canada-reference-data

description: Anderson CM, Gilchrist HG, Ronconi RA, Shlepr KR, Clark DE, Fifield DA, Robertson GJ, Mallory ML (2020) Both short and long distance migrants use energy-minimizing strategies in North American herring gulls. Movement Ecology. doi:10.1186/s40462-020-00207-9
description: Background: Recent studies have proposed that birds migrating short distances migrate at an overall slower pace, minimizing energy expenditure, while birds migrating long distances minimize time spent on migration to cope with seasonal changes in environmental conditions. Methods: We evaluated variability in the migration strategies of Herring Gulls (Larus argentatus), a generalist species with flexible foraging and flight behaviour. We tracked one population of long distance migrants and three populations of short distance migrants, and compared the directness of their migration routes, their overall migration speed, their travel speed, and their use of stopovers. Results: Our research revealed that Herring Gulls breeding in the eastern Arctic migrate long distances to spend the winter in the Gulf of Mexico, traveling more than four times farther than gulls from Atlantic Canada during autumn migration. While all populations used indirect routes, the long distance migrants were the least direct. We found that regardless of the distance the population traveled, Herring Gulls migrated at a slower overall migration speed than predicted by Optimal Migration Theory, but the long distance migrants had higher speeds on travel days. While long distance migrants used more stopover days overall, relative to the distance travelled all four populations used a similar number of stopover days. Conclusions: When taken in context with other studies, we expect that the migration strategies of flexible generalist species like Herring Gulls may be more influenced by habitat and food resources than migration distance.
DOI: 10.5441/001/1.4c7h5d1g
title: Data from: Weak migratory connectivity, loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra

description: Burgess MD, Finch T, Border JA, Castello J, Conway G, Ketcher M, Lawrence M, Orsman CJ, Mateos J, Proud A, Westerburg S, Wiffen T, Henderson IG (2020) Weak migratory connectivity, loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra. Ibis. doi:10.1111/ibi.12825
description: Determining the links between breeding populations and the pressures, threats and conditions they experience presents a challenge for the conservation of migratory birds which can use multiple sites separated by hundreds to thousands of kilometres. Furthermore, migratory connectivity – the connections made by migrating individuals between networks of breeding and non‐breeding sites – has important implications for population dynamics. The Whinchat Saxicola rubetra is declining across its range, and tracking data from a single African non‐breeding site implies high migratory spread. We used geolocators to describe the migration routes and non‐breeding areas of 20 Whinchats from three British breeding populations. As expected, migratory spread was high, with birds from the three populations overlapping across a wide area of West Africa. On average, in non‐breeding areas, British breeding Whinchats were located 652 km apart from one another, with some likely to share non‐breeding areas with individuals from breeding populations as far east as Russia. Four males made a direct non‐breeding season movement to a second, more westerly, non‐breeding location in January. Autumn migration was through Iberia and around the western edge of the Sahara Desert, whereas spring migration was more direct, indicating an anticlockwise loop migration. Weak migratory connectivity implies that Whinchat populations are somewhat buffered against local changes in non‐breeding conditions. If non‐breeding season processes have played a role in the species’ decline, then large‐scale drivers are likely to be the cause, although processes operating on migration, or interactions between breeding and non‐breeding processes, cannot be ruled out.
DOI: 10.5441/001/1.4c7h5d1g/1
title: Weak migratory connectivity loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra-light-levels.csv

description: Burgess MD, Finch T, Border JA, Castello J, Conway G, Ketcher M, Lawrence M, Orsman CJ, Mateos J, Proud A, Westerburg S, Wiffen T, Henderson IG (2020) Weak migratory connectivity, loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra. Ibis. doi:10.1111/ibi.12825
description: Determining the links between breeding populations and the pressures, threats and conditions they experience presents a challenge for the conservation of migratory birds which can use multiple sites separated by hundreds to thousands of kilometres. Furthermore, migratory connectivity – the connections made by migrating individuals between networks of breeding and non‐breeding sites – has important implications for population dynamics. The Whinchat Saxicola rubetra is declining across its range, and tracking data from a single African non‐breeding site implies high migratory spread. We used geolocators to describe the migration routes and non‐breeding areas of 20 Whinchats from three British breeding populations. As expected, migratory spread was high, with birds from the three populations overlapping across a wide area of West Africa. On average, in non‐breeding areas, British breeding Whinchats were located 652 km apart from one another, with some likely to share non‐breeding areas with individuals from breeding populations as far east as Russia. Four males made a direct non‐breeding season movement to a second, more westerly, non‐breeding location in January. Autumn migration was through Iberia and around the western edge of the Sahara Desert, whereas spring migration was more direct, indicating an anticlockwise loop migration. Weak migratory connectivity implies that Whinchat populations are somewhat buffered against local changes in non‐breeding conditions. If non‐breeding season processes have played a role in the species’ decline, then large‐scale drivers are likely to be the cause, although processes operating on migration, or interactions between breeding and non‐breeding processes, cannot be ruled out.
DOI: 10.5441/001/1.44cb3946/1
title: Sperm whales Gulf of Mexico 2011-2013 - FastLoc GPS data

description: Irvine LM, Winsor MH, Follett TM, Mate BR, Palacios DM (2020) An at-sea assessment of Argos location accuracy for three species of large whales, and the effect of deep-diving behavior on location error. Animal Biotelemetry 8:20. doi:10.1186/s40317-020-00207-x
description: Background: Argos satellite telemetry is used globally to track terrestrial and aquatic megafauna, yet the accuracy of this system has been described empirically only for a limited number of species. We used Argos-linked archival tags with Fastloc GPS deployed on free-ranging sperm (Physeter macrocephalus), blue (Balaenoptera musculus), and fin (B. physalus) whales to derive empirical estimates of Argos location errors for these species, examine possible behavior-related differences, and test the effect of incorporating species-specific error parameters on performance of a commonly used movement model. Results: Argos location errors for blue and fin whale tags were similar and were combined (n = 1712 locations) for comparison against sperm whale tags (n = 1206 locations). Location error magnitudes for tags attached to sperm whales were significantly larger than blue/fin whale tags for almost all Argos location classes (LC), ranging from 964 m versus 647 m for LC 3, respectively, to 10,569 m versus 5589 m for LC B, respectively. However, these differences were not seen while tags floated at the surface after release. Sperm whale tags were significantly colder than ambient temperature when surfacing from a dive, compared to blue/fin whale tags (16.9 °C versus 1.3 °C, respectively) leading to larger changes in tag temperature during post-dive intervals. The increased rate of tag temperature change while at the surface was correlated to increased error magnitude for sperm whales but not blue/fin whales. Movement model performance was not significantly improved by incorporating species-specific error parameters. Conclusions: Location accuracy estimates for blue/fin whales were within the range estimated for other marine megafauna, but were higher for sperm whales. Thermal inertia from deep, long-duration dives likely caused transmission frequency drift and greater Argos location error in sperm whales, as tags warmed at the surface during post-dive intervals. Thus, tracks of deep-diving species may be less accurate than for other species. However, differences in calculated error magnitude between species were less than typical scales of movement and had limited effect on movement model performance. Therefore, broad-scale interpretation of Argos tracking data will likely be unaffected, although fine-scale interpretation should be made with more caution for deep-diving species inhabiting warm regions.
DOI: 10.5441/001/1.44cb3946/2
title: Sperm whales Gulf of Mexico 2011-2013 - FastLoc GPS data-reference-data

description: Irvine LM, Winsor MH, Follett TM, Mate BR, Palacios DM (2020) An at-sea assessment of Argos location accuracy for three species of large whales, and the effect of deep-diving behavior on location error. Animal Biotelemetry 8:20. doi:10.1186/s40317-020-00207-x
description: Background: Argos satellite telemetry is used globally to track terrestrial and aquatic megafauna, yet the accuracy of this system has been described empirically only for a limited number of species. We used Argos-linked archival tags with Fastloc GPS deployed on free-ranging sperm (Physeter macrocephalus), blue (Balaenoptera musculus), and fin (B. physalus) whales to derive empirical estimates of Argos location errors for these species, examine possible behavior-related differences, and test the effect of incorporating species-specific error parameters on performance of a commonly used movement model. Results: Argos location errors for blue and fin whale tags were similar and were combined (n = 1712 locations) for comparison against sperm whale tags (n = 1206 locations). Location error magnitudes for tags attached to sperm whales were significantly larger than blue/fin whale tags for almost all Argos location classes (LC), ranging from 964 m versus 647 m for LC 3, respectively, to 10,569 m versus 5589 m for LC B, respectively. However, these differences were not seen while tags floated at the surface after release. Sperm whale tags were significantly colder than ambient temperature when surfacing from a dive, compared to blue/fin whale tags (16.9 °C versus 1.3 °C, respectively) leading to larger changes in tag temperature during post-dive intervals. The increased rate of tag temperature change while at the surface was correlated to increased error magnitude for sperm whales but not blue/fin whales. Movement model performance was not significantly improved by incorporating species-specific error parameters. Conclusions: Location accuracy estimates for blue/fin whales were within the range estimated for other marine megafauna, but were higher for sperm whales. Thermal inertia from deep, long-duration dives likely caused transmission frequency drift and greater Argos location error in sperm whales, as tags warmed at the surface during post-dive intervals. Thus, tracks of deep-diving species may be less accurate than for other species. However, differences in calculated error magnitude between species were less than typical scales of movement and had limited effect on movement model performance. Therefore, broad-scale interpretation of Argos tracking data will likely be unaffected, although fine-scale interpretation should be made with more caution for deep-diving species inhabiting warm regions.
DOI: 10.5441/001/1.4c7h5d1g/2
title: Weak migratory connectivity loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra-tracks

description: Burgess MD, Finch T, Border JA, Castello J, Conway G, Ketcher M, Lawrence M, Orsman CJ, Mateos J, Proud A, Westerburg S, Wiffen T, Henderson IG (2020) Weak migratory connectivity, loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra. Ibis. doi:10.1111/ibi.12825
description: Determining the links between breeding populations and the pressures, threats and conditions they experience presents a challenge for the conservation of migratory birds which can use multiple sites separated by hundreds to thousands of kilometres. Furthermore, migratory connectivity – the connections made by migrating individuals between networks of breeding and non‐breeding sites – has important implications for population dynamics. The Whinchat Saxicola rubetra is declining across its range, and tracking data from a single African non‐breeding site implies high migratory spread. We used geolocators to describe the migration routes and non‐breeding areas of 20 Whinchats from three British breeding populations. As expected, migratory spread was high, with birds from the three populations overlapping across a wide area of West Africa. On average, in non‐breeding areas, British breeding Whinchats were located 652 km apart from one another, with some likely to share non‐breeding areas with individuals from breeding populations as far east as Russia. Four males made a direct non‐breeding season movement to a second, more westerly, non‐breeding location in January. Autumn migration was through Iberia and around the western edge of the Sahara Desert, whereas spring migration was more direct, indicating an anticlockwise loop migration. Weak migratory connectivity implies that Whinchat populations are somewhat buffered against local changes in non‐breeding conditions. If non‐breeding season processes have played a role in the species’ decline, then large‐scale drivers are likely to be the cause, although processes operating on migration, or interactions between breeding and non‐breeding processes, cannot be ruled out.
DOI: 10.5441/001/1.4c7h5d1g/3
title: Weak migratory connectivity loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra-reference-data

description: Burgess MD, Finch T, Border JA, Castello J, Conway G, Ketcher M, Lawrence M, Orsman CJ, Mateos J, Proud A, Westerburg S, Wiffen T, Henderson IG (2020) Weak migratory connectivity, loop migration and multiple non-breeding site use in British breeding Whinchats Saxicola rubetra. Ibis. doi:10.1111/ibi.12825
description: Determining the links between breeding populations and the pressures, threats and conditions they experience presents a challenge for the conservation of migratory birds which can use multiple sites separated by hundreds to thousands of kilometres. Furthermore, migratory connectivity – the connections made by migrating individuals between networks of breeding and non‐breeding sites – has important implications for population dynamics. The Whinchat Saxicola rubetra is declining across its range, and tracking data from a single African non‐breeding site implies high migratory spread. We used geolocators to describe the migration routes and non‐breeding areas of 20 Whinchats from three British breeding populations. As expected, migratory spread was high, with birds from the three populations overlapping across a wide area of West Africa. On average, in non‐breeding areas, British breeding Whinchats were located 652 km apart from one another, with some likely to share non‐breeding areas with individuals from breeding populations as far east as Russia. Four males made a direct non‐breeding season movement to a second, more westerly, non‐breeding location in January. Autumn migration was through Iberia and around the western edge of the Sahara Desert, whereas spring migration was more direct, indicating an anticlockwise loop migration. Weak migratory connectivity implies that Whinchat populations are somewhat buffered against local changes in non‐breeding conditions. If non‐breeding season processes have played a role in the species’ decline, then large‐scale drivers are likely to be the cause, although processes operating on migration, or interactions between breeding and non‐breeding processes, cannot be ruled out.
DOI: 10.6084/m9.figshare.12980900
title: DCSI560_hw2_zhou

description: A very simple dataset with 1000 random numbers
DOI: 10.6084/m9.figshare.12980900.v1
title: DCSI560_hw2_zhou

description: A very simple dataset with 1000 random numbers
DOI: 10.6084/m9.figshare.3761562.v1614
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25919/5f67dc095de18
title: RV Investigator Voyage IN2018_V04 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage in2018_v04, titled "Constraining external iron inputs and cycling in the southern extension of the East Australian Current." The voyage took place from Hobart (TAS) to Hobart between September 11 and October 8, 2018. Supplementary project: "Spatial and temporal variability in the distribution and abundance of seabirds." For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Lowered ADCP (LADCP), Disdrometer, Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Met station (temp, humidity, pressure, wind, rain, PIR, PSP, PAR), Nephelometer, pCO2, Starboard and Portside Radiometers, Radon and Ozone sensors, Weather Radar, Greenhouse Gas Analysers (Picarro), Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Seawater (TSG, fluorometer, optode), Thermosalinographs (TSG), CTD, Hydrochemistry. Voyage-specific measurements: Cloud Condensation Nuclei counter (CCN), Condensation Particle Counters (CPC), Continuous Plankton Recorder (CPR), EZnet, Multiangle Absorption Photometer (MAAP), Multicorer, Kasten Corer, Trace Metals, Triaxus, Fluorescence Induction and Relaxation System (FIRe), Submersible Ultraviolet Nitrate Analyser (SUNA), Nutrient (NOx) autoanalyser, Ultra Short BaseLine Underwater Positioning System (USBL), Video, Bird Observations. The archive for the IN2018_V04 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.
DOI: 10.6084/m9.figshare.12774620
title: Complete Dataset - sqlite file

description: This sqlite file contains all the data which resulted from the experimental campaign analysed in the paper.
DOI: 10.6084/m9.figshare.12774620.v1
title: Complete Dataset - sqlite file

description: This sqlite file contains all the data which resulted from the experimental campaign analysed in the paper.
DOI: 10.6084/m9.figshare.12774599
title: Complete Dataset - xlsx file

description: This xlsx file contains all the data which resulted from the experimental campaign analysed in the paper.
DOI: 10.6084/m9.figshare.12774599.v1
title: Complete Dataset - xlsx file

description: This xlsx file contains all the data which resulted from the experimental campaign analysed in the paper.
DOI: 10.18112/openneuro.ds003017.v1.0.2
title: An fMRI dataset in response to "The Grand Budapest Hotel", a socially-rich, naturalistic movie
DOI: 10.3886/e122161
title: Go Active or Stay Passive: Investment Trusts, Financial Innovation and Diversification in Belgium’s early days

description: In 1836, Société Générale created the world’s first closed-end equity fund, Mutualité Industrielle. It promised to be a diversification tool targeted towards less-wealthy investors. We confirm that the trust’s returns were indeed better than returns on synthetic portfolios such investors had access to. However, it never became a commercial success. This paper presents a possible rational explanation why this innovation was liquidated in 1873. First, we show that the trust offered a performance similar to randomly-selected portfolios. Second, portfolio strategies to which mostly wealthy and sophisticated investors had access were able to outperform the trust. Mutualité Industrielle’s failure to offer a sufficiently attractive alternative to investors is consistent with its difficulty to attract sufficient funds to keep the trust in business.
description: Smallest Geographic Unit: Belgium
DOI: 10.3886/e122161v1
title: Go Active or Stay Passive: Investment Trusts, Financial Innovation and Diversification in Belgium’s early days

description: In 1836, Société Générale created the world’s first closed-end equity fund, Mutualité Industrielle. It promised to be a diversification tool targeted towards less-wealthy investors. We confirm that the trust’s returns were indeed better than returns on synthetic portfolios such investors had access to. However, it never became a commercial success. This paper presents a possible rational explanation why this innovation was liquidated in 1873. First, we show that the trust offered a performance similar to randomly-selected portfolios. Second, portfolio strategies to which mostly wealthy and sophisticated investors had access were able to outperform the trust. Mutualité Industrielle’s failure to offer a sufficiently attractive alternative to investors is consistent with its difficulty to attract sufficient funds to keep the trust in business.
description: Smallest Geographic Unit: Belgium
DOI: 10.3886/e122181
title: Harvard University Dataverse COVID-19 Related Publication by Jeffrey Ulatan

description: COVID-19 Related Publications by Jeffrey Ulatan at Harvard University (Harvard Medical School) JCU4@hms.harvard.edu<br>
DOI: 10.7910/dvn/iqknm6/sjnlov
title: Data_YoungGen.txt

description: :unav
DOI: 10.7910/dvn/iqknm6/kotfir
title: ReplicationCode_YoungGen.do

description: :unav
DOI: 10.7910/dvn/iqknm6
title: Replication Data for: (Young) Generations as Social Identities: The Role of Latino*Millennial/Generation Z in Shaping Attitudes about Climate Change

description: Tabular file with data and Stata do file with replication code to replicate analysis for Ross Ross (2020) "(Young) Generations as Social Identities: The Role of Latino*Millennial/Generation Z in Shaping Attitudes about Climate Change"
DOI: 10.21227/s73q-4830
title: Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference

description: The dataset contains two sets of planetary models used in the Reproducibility Challenge Student Cluster Competition at the SC19 conference. During this challenge the competitors reproduced parts of the SC18 paper: "Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver." by Shi, Jia, et al. (https://doi.org/10.1109/SC.2018.00074)One set contains two Moon models as used during the preparation and the other contains six Mars models as used at the actualcompetition. The dataset can be used in the normal mode application (https://github.com/js1019/NormalModes).