cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5441/001/1.8ms7mm80/2
title: Biotelemetry of Bewick's swans-accessory

description: Nuijten RJM, Gerrits T, Shamoun-Baranes J, Nolet BA (2020) Less is more: on-board lossy compression of accelerometer data increases biologging capacity. Journal of Animal Ecology 89(1): 237-247. doi:10.1111/1365-2656.13164
description: 1. GPS‐tracking devices have been used in combination with a wide range of additional sensors to study animal behaviour, physiology and interaction with their environment. Tri‐axial accelerometers allow researchers to remotely infer the behaviour of individuals, at all places and times. Collection of accelerometer data is relatively cheap in terms of energy usage, but the amount or raw data collected generally requires much storage space and is particularly demanding in terms of energy needed for data transmission. 2. Here we propose compressing the raw ACC data into summary statistics within the tracking device (before transmission) to reduce data size, as a means to overcome limitations in storage and energy capacity. 3. We explored this type of lossy data compression in the accelerometer data of tagged Bewick's swans (Cygnus columbianus bewickii) collected in spring 2017. By using software settings in which bouts of 2 s of both raw ACC data and summary statistics were collected in parallel but with different bout intervals to keep total data size comparable, we created the opportunity for a direct comparison of time budgets derived by the two data collection methods. 4. We found that the data compression in our case yielded a 6 time reduction in data size per bout, and concurrent, similar decreases in storage and energy use of the device. We show that with the same accuracy of the behavioural classification, the freed memory and energy of the device can be used to increase the monitoring effort, resulting in a more detailed representation of the individuals’ time budget. Rare and/or short behaviours such as daily roost flights, were picked up significantly more when collecting summary statistics instead of raw ACC data (but note differences in sampling rate). Such level of detail can be of essential importance, for instance to make a reliable estimate of the energy budgets of individuals. 5. In conclusion, we argue that this type of lossy data compression can be a well‐considered choice in study situations where limitations in energy and storage space of the device pose a problem. Ultimately these developments can allow for long‐term and nearly continuous remote‐monitoring of the behaviour of free‐ranging animals.
DOI: 10.5441/001/1.8ms7mm80/3
title: Biotelemetry of Bewick's swans-gps

description: Nuijten RJM, Gerrits T, Shamoun-Baranes J, Nolet BA (2020) Less is more: on-board lossy compression of accelerometer data increases biologging capacity. Journal of Animal Ecology 89(1): 237-247. doi:10.1111/1365-2656.13164
description: 1. GPS‐tracking devices have been used in combination with a wide range of additional sensors to study animal behaviour, physiology and interaction with their environment. Tri‐axial accelerometers allow researchers to remotely infer the behaviour of individuals, at all places and times. Collection of accelerometer data is relatively cheap in terms of energy usage, but the amount or raw data collected generally requires much storage space and is particularly demanding in terms of energy needed for data transmission. 2. Here we propose compressing the raw ACC data into summary statistics within the tracking device (before transmission) to reduce data size, as a means to overcome limitations in storage and energy capacity. 3. We explored this type of lossy data compression in the accelerometer data of tagged Bewick's swans (Cygnus columbianus bewickii) collected in spring 2017. By using software settings in which bouts of 2 s of both raw ACC data and summary statistics were collected in parallel but with different bout intervals to keep total data size comparable, we created the opportunity for a direct comparison of time budgets derived by the two data collection methods. 4. We found that the data compression in our case yielded a 6 time reduction in data size per bout, and concurrent, similar decreases in storage and energy use of the device. We show that with the same accuracy of the behavioural classification, the freed memory and energy of the device can be used to increase the monitoring effort, resulting in a more detailed representation of the individuals’ time budget. Rare and/or short behaviours such as daily roost flights, were picked up significantly more when collecting summary statistics instead of raw ACC data (but note differences in sampling rate). Such level of detail can be of essential importance, for instance to make a reliable estimate of the energy budgets of individuals. 5. In conclusion, we argue that this type of lossy data compression can be a well‐considered choice in study situations where limitations in energy and storage space of the device pose a problem. Ultimately these developments can allow for long‐term and nearly continuous remote‐monitoring of the behaviour of free‐ranging animals.
DOI: 10.5441/001/1.8ms7mm80/4
title: Biotelemetry of Bewick's swans-reference-data

description: Nuijten RJM, Gerrits T, Shamoun-Baranes J, Nolet BA (2020) Less is more: on-board lossy compression of accelerometer data increases biologging capacity. Journal of Animal Ecology 89(1): 237-247. doi:10.1111/1365-2656.13164
description: 1. GPS‐tracking devices have been used in combination with a wide range of additional sensors to study animal behaviour, physiology and interaction with their environment. Tri‐axial accelerometers allow researchers to remotely infer the behaviour of individuals, at all places and times. Collection of accelerometer data is relatively cheap in terms of energy usage, but the amount or raw data collected generally requires much storage space and is particularly demanding in terms of energy needed for data transmission. 2. Here we propose compressing the raw ACC data into summary statistics within the tracking device (before transmission) to reduce data size, as a means to overcome limitations in storage and energy capacity. 3. We explored this type of lossy data compression in the accelerometer data of tagged Bewick's swans (Cygnus columbianus bewickii) collected in spring 2017. By using software settings in which bouts of 2 s of both raw ACC data and summary statistics were collected in parallel but with different bout intervals to keep total data size comparable, we created the opportunity for a direct comparison of time budgets derived by the two data collection methods. 4. We found that the data compression in our case yielded a 6 time reduction in data size per bout, and concurrent, similar decreases in storage and energy use of the device. We show that with the same accuracy of the behavioural classification, the freed memory and energy of the device can be used to increase the monitoring effort, resulting in a more detailed representation of the individuals’ time budget. Rare and/or short behaviours such as daily roost flights, were picked up significantly more when collecting summary statistics instead of raw ACC data (but note differences in sampling rate). Such level of detail can be of essential importance, for instance to make a reliable estimate of the energy budgets of individuals. 5. In conclusion, we argue that this type of lossy data compression can be a well‐considered choice in study situations where limitations in energy and storage space of the device pose a problem. Ultimately these developments can allow for long‐term and nearly continuous remote‐monitoring of the behaviour of free‐ranging animals.
DOI: 10.17632/32gx9jpb85.1
title: Data for: 3608672

description: To detect the speed and information about the vehicles
DOI: 10.17632/3p38wy69fv.1
title: Data for: STRUCTURAL EVOLUTION OF MANTLE PERIDOTITIC ROCKS - A FORCED TRANSITION FROM DUCTILE TO BRITTLE REGIME IN THE EQUATORIAL ATLANTIC

description: Fault data and tectonic structures.
DOI: 10.17632/8tpfrpzh5m.1
title: Data for: The association between resilience, perceived organizational support and fatigue among Chinese doctors: a cross-sectional study

description: The study protocol was in accordance with the ethical standards and was approved by the Ethics Committee of China Medical University. Written informed consent was obtained from each participant. Information collected from all participants was kept confidential and anonymous.
DOI: 10.17632/94pys75vkj.1
title: Data for: Recovery Curves for Housing Reconstruction from the 2011 Great East Japan Earthquake and Comparison with Other Post-disaster Recovery Processes

description: This dataset was provided by Reconstruction Agency on November 16, 2018. The following URL covers more detailed dataset on disaster public housing for the municipalities affected by the 2011 Great East Japan Earthquake, which was used in the article. http://www.reconstruction.go.jp/topics/main-cat1/sub-cat1-12/20181114094606.html
DOI: 10.17632/sj4ng58c4r.1
title: Data for: Assessing Economic Consequences of Improved Animal Welfare in Swedish Cattle Fattening Operations using a Stochastic Partial Budgeting Approach

description: Data used for stochastic partial budgeting using Microsoft Excel and @Risk.
DOI: 10.17632/vw9x8sc25v.1
title: Data for: 3608672

description: To detect the speed and information about the vehicle
DOI: 10.17632/y7wktd2tj4.1
title: Data for: 3608774

description: IPUMS CPS extract and do file for brief calculations on unemployment and incomes (individuals/households projected to have high incomes but now unemployed for April 2020).
DOI: 10.17632/y7wktd2tj4.2
title: Data for: 3608774

description: IPUMS CPS extract and do file for brief calculations on unemployment and incomes (individuals/households projected to have high incomes but now unemployed for April 2020).
DOI: 10.17632/22hxzyrfgx.2
title: Data for modeling soil erosion with evolving rills on hillslopes

description: Whereas current erosion models can make quantitative estimates of soil erosion by water flow with much success, modeling the coevolution of geomorphological features, particularly rill network properties, and soil erosion on hillslope is still a main challenge. In this study, we propose a rill evolution modeling approach and combine it with a rainfall-runoff and soil erosion model to simulate the feedback loop of hillslope geomorphic development and soil erosion processes. The dataset included the simulation results of model calibration and validation (see the excel files of Figures 3-5), the effects of rainfall intensity and slope angle on rill evolution (see the excel files of Figures 6 and 7), and the sensitivity analysis of the rill evolution parameters (see the excel files of Figure 8). There is a one-to-one correspondence between the data file and the figure in the present paper so that we can easily understand and use the data.
DOI: 10.17632/9t6g22rw85.1
title: NOAA QCLCD hourly wind speeds for nine sites in Florida (2005-2014)

description: Hourly wind speed data contained in this repository has been extracted for nine sites in Florida from the data set referenced below. National Oceanic Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) formerly National Climatological Data Center (NCDC), “QCLCD ASCII Files,” Data Set. [Online]. Available: https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-based-datasets/quality-controlled-local-climatological-data-qclcd. [Accessed: 21-Aug-2019]
DOI: 10.17632/b6pyfcwn4r.1
title: Synthetic Clustering Dataset (K=30)

description: The synthetic data set has 600 points that form 30 clusters with 20 points each in 2 dimensions. The offset between a given point and its true center in each dimension is determined by Rand[0.02, 0.04] ∗ G where G is a random Gaussian number.
DOI: 10.17632/bhwf4x96sf.1
title: Data for: 3609846

description: Data used for the figures presented in the paper.
DOI: 10.17632/k7944fvhy2.1
title: Data for: A Novel Nanocomposite Electrochemical Sensor based on Green Synthesis of Reduced Graphene Oxide/Gold Nanoparticles Modified Screen Printed Electrode for Determination of Tryptophan using Response Surface methodology Approach
DOI: 10.17632/psrd74x4v9.2
title: Data for: The interpretability of stable hydrogen isotopes in modern herbivore tooth enamel

description: Stable hydrogen, oxygen, and carbon isotope compositions of varying modern mammalian herbivores.
DOI: 10.17632/y7wktd2tj4.3
title: Data for: 3608774

description: IPUMS CPS extract and do file for brief calculations on unemployment and incomes (individuals/households projected to have high incomes but now unemployed for April 2020).
DOI: 10.17632/4cnntx8p2x.1
title: Data for: Statistical Seismic Quiescence Evaluation in the Gulf of Aqaba Source Zone
DOI: 10.17632/8xyyt9pwyk.1
title: Data for: Investigating Thrust-fault Growth and Segment Linkage Using Displacement Distribution Analysis in the Active Duzhanzi Thrust Fault Zone, Northern Tian Shan of China
DOI: 10.17632/dmscssdpxp.1
title: Data for: What Can We Learn about Unintended Consequences from a Textual Analysis of Monitoring Reports and Evaluations for U.S. Foreign Assistance Programs?

description: These files contain the data that resulted from textual searches on the unintended consequences of foreign assistance programs. There are two Excel files, DEC_UCMonitoring&EvalHitsz2, which contains all 'hits' returned, and HITSFINAL, which contains more details on those instances when the searches yielded reports on unintended consequences.
DOI: 10.17632/n9yh7t4bxv.1
title: Code and simulation data for: A Bayesian method for inference of effective connectivity in brain networks for detecting the Mozart effect

description: Developed MATLAB code and simulation data for the Mozart effect study. The code requires the Bayesian topology identification code and the MVGC toolbox to run (see references).
DOI: 10.17632/zfbbvcg4ps.2
title: Data for: Development and validation of novel scoring system for the prediction of disease recurrence following resection of colorectal liver metastasis

description: this is consisted of raw data of modeling set of coloreatal cancer liver metastasis patients.
DOI: 10.5441/001/1.ms87s2m6/1
title: Greater white-fronted goose family migration flight

description: Kölzsch A, Flack A, Müskens GJDM, Kruckenberg H, Glazov P, Wikelski M (2020) Goose parents lead migration V. Journal of Avian Biology. doi:10.1111/jav.02392
description: Many migratory animals travel in large social groups. Large, avian migrants that fly in V‐formations were proposed do so for energy saving by the use of up‐wash by following individuals and regularly change leadership. As groups have been rather homogeneous in previous work, we aimed to explore leadership and its flight mechanics consequences in an extremely heterogeneous case of social migration, namely in spring migration of goose families. In families the experience of group members differs strongly and inclusive fitness may be important. We successfully collected overlapping spring migration tracking data of a complete family of greater white‐fronted geese (Anser a. albifrons) and extracted leadership, flapping frequency and wind conditions in flight. Our data revealed V‐formations where one parent was flying in front at all times. Although the father led the family group most of the time, he did not flap at higher frequency while doing so. In contrast, the mother flapped faster when leading, possibly because she experienced less supportive wind conditions than when the father led. We argue that in heterogeneous, social groups leadership might be fixed and not costly if supportive environmental conditions like wind can be used.
DOI: 10.17632/rscy8v7fkb.1
title: Data for: Permian subduction of the Paleo-Pacific oceanic lithosphere beneath the Jiamusi Block: Geochronological and geochemical evidence from the Luobei mafic intrusions in northeast China

description: Tables S1-S3
DOI: 10.5441/001/1.ms87s2m6/2
title: Greater white-fronted goose family migration flight-reference-data

description: Kölzsch A, Flack A, Müskens GJDM, Kruckenberg H, Glazov P, Wikelski M (2020) Goose parents lead migration V. Journal of Avian Biology. doi:10.1111/jav.02392
description: Many migratory animals travel in large social groups. Large, avian migrants that fly in V‐formations were proposed do so for energy saving by the use of up‐wash by following individuals and regularly change leadership. As groups have been rather homogeneous in previous work, we aimed to explore leadership and its flight mechanics consequences in an extremely heterogeneous case of social migration, namely in spring migration of goose families. In families the experience of group members differs strongly and inclusive fitness may be important. We successfully collected overlapping spring migration tracking data of a complete family of greater white‐fronted geese (Anser a. albifrons) and extracted leadership, flapping frequency and wind conditions in flight. Our data revealed V‐formations where one parent was flying in front at all times. Although the father led the family group most of the time, he did not flap at higher frequency while doing so. In contrast, the mother flapped faster when leading, possibly because she experienced less supportive wind conditions than when the father led. We argue that in heterogeneous, social groups leadership might be fixed and not costly if supportive environmental conditions like wind can be used.
DOI: 10.17632/hrw2pfh3wz.1
title: Data for: 3613494
DOI: 10.17632/vff9xr3zfz.1
title: Data for: Understanding the Hierarchical Structural Evolution in a Scientific Discipline: An Artificial Intelligence Perspective

description: 65,887 AI-related research papers published during a 10-year period from 2009 to 2018.
DOI: 10.17632/b92fnvzcgr.1
title: Data for: Foreign Exchange Market, Energy and Gold Price Influencing Conventional and Islamic Indices (Pakistan Stock Exchange)

description: Data is related to the Pakistan stock indices All index, 30 index, 100 index and Islamic index further exchange rate, and Crude oil data on monthly basis
DOI: 10.17632/kycy4c6vxt.1
title: Data for: Transcriptomic analysis reveals the roles of detoxification systems in response to mercury in Chromera velia

description: a database archives all functional annotation data derived from the analysis of Chromera velia under control and mercury toxicity conditions
DOI: 10.17632/cpffchjmrh.1
title: Data Research: papers IOTA Tangle in four databases

description: Research in 4 scientific databases, IEEE, ScienceDirect, Scopus and ResearchGate about IOTA Tangle.
DOI: 10.17632/fr4938dvb8.1
title: Data on Developing learning materials on learning evaluation courses for elementary school in Indonesian

description: The data presented in this article is to examine the product development of teaching materials used in learning evaluation courses on students in elementary school education study programs in Indonesian private institutions. The research activities were carried out at Kuningan University, West Java, Indonesia. The total population of students elementary school on an education study program in the learning evaluation course was 108 students in classes A, B, C. This research uses the entire population to see the feasibility and effectiveness of learning material development products. The research method used is research and development developed by Borg & Gall. Moreover, the researcher modifies the development model by paying attention to the process of developing learning products and validating development products. Feasibility analysis and validation were carried out by learning evaluation experts using descriptive statistical analysis techniques, data analysis techniques to determine the effectiveness of pre-test and post-test using normalized gain score or normalized gain score
DOI: 10.17632/cpffchjmrh.2
title: Data Research: papers IOTA Tangle in four databases

description: Research in 4 scientific databases, IEEE, ScienceDirect, Scopus and ResearchGate about IOTA Tangle.
DOI: 10.17632/fr4938dvb8.2
title: Data on Developing learning materials on learning evaluation courses for elementary school in Indonesian

description: The data presented in this article is to examine the product development of teaching materials used in learning evaluation courses on students in elementary school education study programs in Indonesian private institutions. The research activities were carried out at Kuningan University, West Java, Indonesia. The total population of students elementary school on an education study program in the learning evaluation course was 108 students in classes A, B, C. This research uses the entire population to see the feasibility and effectiveness of learning material development products. The research method used is research and development developed by Borg & Gall. Moreover, the researcher modifies the development model by paying attention to the process of developing learning products and validating development products. Feasibility analysis and validation were carried out by learning evaluation experts using descriptive statistical analysis techniques, data analysis techniques to determine the effectiveness of pre-test and post-test using normalized gain score or normalized gain score
DOI: 10.17632/fr4938dvb8.3
title: Data on Developing learning materials on learning evaluation courses for elementary school in Indonesian

description: The data presented in this article is to examine the product development of teaching materials used in learning evaluation courses on students in elementary school education study programs in Indonesian private institutions. The research activities were carried out at Kuningan University, West Java, Indonesia. The total population of students elementary school on an education study program in the learning evaluation course was 108 students in classes A, B, C. This research uses the entire population to see the feasibility and effectiveness of learning material development products. The research method used is research and development developed by Borg & Gall. Moreover, the researcher modifies the development model by paying attention to the process of developing learning products and validating development products. Feasibility analysis and validation were carried out by learning evaluation experts using descriptive statistical analysis techniques, data analysis techniques to determine the effectiveness of pre-test and post-test using normalized gain score or normalized gain score
DOI: 10.17632/kbbdjg3xpf.1
title: Data for: The impact of digital transformation and industry 4.0 on the aspects of value: Evidence from a meta-synthesis

description: This dataset provides additional data for the study The impact of digital transformation and industry 4.0 on the aspects of value: Evidence from a meta-synthesis. It's composed of three files: Reviewed_studies.xlsx, which contain the details of the 76 studies (duplicated papers were already removed) collected from at the databases Web of Science (WOS), Scopus and EBSCO. This dataset contains the studies categorized considering their DATABASE, SEARCH STRING USED, TITLE, AUTHORSHIP, JOURNAL, YEAR OF PUBLICATION, SELECTED TO BE FULLY READ - meaning that upon reading the abstract the paper was selected to be entirely read, and REASON FOR EXCLUSION / SELECTED - pointing the criteria that resulted in the exclusion of the paper or if it was selected for the final sample. Coding_form.xlsx, which contains the coding form for the five studies of the final sample, thus providing the details of the study codification. Causal_networks.xlsx, which contains the causal network for each of the five analyzed studies of the final sample.
DOI: 10.17632/cpffchjmrh.3
title: Data Research: papers IOTA Tangle in four databases

description: Research in 4 scientific databases, IEEE, ScienceDirect, Scopus and ResearchGate about IOTA Tangle.
DOI: 10.17632/cpffchjmrh.4
title: Data Research: papers IOTA Tangle in four databases

description: Research in 4 scientific databases, IEEE, ScienceDirect, Scopus and ResearchGate about IOTA Tangle.