cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5441/001/1.j682ds56/3
title: Moritz-cattle1130309-video

description: Moritz M, Soma E, Scholte P, Xiao N, Taylor L, Juran T, Kari S (2010) An integrated approach to modeling grazing pressure in pastoral systems: the case of the Logone Floodplain (Cameroon). Human Ecology 38(6): 775–789. doi:10.1007/s10745-010-9361-z
description: The discussion about the impact of pastoral systems on ecosystems has been profoundly shaped by Hardin’s “tragedy of the commons” argument that held pastoralists responsible for overgrazing the range. Recent studies have shown that grazing ecosystems are much more complex and dynamic than was previously assumed and that pastoralists adaptively manage these systems. However, we still have little understanding how everyday herding affects ecosystems at the landscape level. We conducted a study of daily herd movements and grazing strategies in a mobile pastoral system in the Logone floodplain, Cameroon. We integrated GPS/GIS technology, video recordings of animal behavior, and ethnographic methods to develop a more accurate measurement of grazing pressure that takes into account both livestock densities and grazing behavior. We used the resulting grazing pressure data to evaluate existing conceptual models of grazing pressure at a landscape level. We found that models that predict that grazing pressure is skewed towards the direction of water most accurately reflect the situation in the Logone floodplain in the dry season. However, we found that the higher grazing pressure is not only the result of a higher density of cattle but also a change in the grazing behavior of animals after watering. Finally, we caution that the models of grazing pressure in the dry season cannot simply be extrapolated to the landscape level because mobile pastoralists do not remain in one central place.
DOI: 10.25540/hvhn-0wkp
title: Contemporary Wayang Archive

description: The Contemporary Wayang Archive (CWA) (http://cwa-web.org/en/) is a collection of re-elaborations of Java's oldest performance tradition. All of the performances were recorded in 21st century Java. This archive includes translations, notes and explanations of how the performances were received in their original context.The CWA is part of the Asian Intercultural Digital Archives (AIDA). It was developed as part of two projects funded by the Singapore Ministry of Education at the National University of Singapore: Relocating Intercultural Theatre (MOE2008-T2-1-110) and Digital Archiving and Intercultural Performance (MOE2013-t2-1-011). The CWA is a joint initiative with the Indonesian Visual Arts Archive (IVAA).For more details, please visit http://cwa-web.org/en/
DOI: 10.5880/tr32db.28
title: Final land use classification of 2016 for the Rur catchment

description: This data set contains the land use classification of 2016 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
DOI: 10.25540/1etg-0n9f
title: POPS (8) IPS Post-Election Survey 2015

description: The survey examined the factors that shaped the vote in the General Elections on 11 September 2015, and shed light on Singaporeansâ€™ political attitudes. To request for a dataset to be sent to you by e-mail, you must complete the Online Form and agree to comply with the Data Use Agreement. For more information, please visit Institute of Policy Studies (IPS) Public Data Sharing Platform.
DOI: 10.25540/9xz0-t3mt
title: Perceptions of Goverce Survey

description: The Internet survey examined the sentiments and perspectives that voters had towards the government and the electoral system, and the hot-button issues that influenced their choices in the 2015 General Election. Three waves of data collection were conducted, two before Polling Day which was on 11 September 2015 and one after Singaporeans went to the ballot box. To request for a dataset to be sent to you by e-mail, you must complete the Online Form and agree to comply with the Data Use Agreement. For more information, please visit Institute of Policy Studies (IPS) Public Data Sharing Platform.
DOI: 10.5285/d901af69-7e44-470b-8967-e6ae760733c6
title: Data supporting the evaluation if a worst case for a severe space weather event driven by a fast solar wind stream
DOI: 10.5441/001/1.kk38017f/3
title: White-fronted goose full year tracks 2006-2010 Alterra IWWR-reference-data

description: Kölzsch A, Kleyheeg E, Kruckenberg H, Kaatz M, Blasius B (2018) A periodic Markov model to formalise animal migration on a network. Royal Society Open Science 5: 180438. doi:10.1098/rsos.180438
description: Regular, long-distance migrations of thousands of animal species have consequences for the ecosystems that they visit, modifying trophic interactions and transporting many non-pathogenic and pathogenic organisms. The spatial structure and dynamic properties of animal migrations and population flyways largely determine those trophic and transport effects, but are yet poorly studied. As a basis, we propose a periodic Markov model on the spatial migration network of breeding, stopover and wintering sites to formally describe the process of animal migration on the population level. From seasonally changing transition rates we derived stable, seasonal densities of animals at the network nodes. We parametrized the model with high-quality GPS and satellite telemetry tracks of white storks (Ciconia ciconia) and greater white-fronted geese (Anser a. albifrons). Topological and network flow properties of the two derived networks conform to migration properties like seasonally changing connectivity and shared, directed movement. Thus, the model realistically describes the migration movement of complete populations and can become an important tool to study the effects of climate and habitat change and pathogen spread on migratory animals. Furthermore, the property of periodically changing transition rates makes it a new type of complex model and we need to understand its dynamic properties.
DOI: 10.5441/001/1.p41784h5/3
title: Red-necked Phalarope southern Chukotka (data from Mu et al. 2018)-reference-data

description: Mu T, Tomkovich PS, Loktionov EY, Syroechkovskiy EE, Wilcove DS, Migratory routes of red-necked phalaropes Phalaropus lobatus breeding in southern Chukotka revealed by geolocators. Journal of Avian Biology e01853. doi:10.1111/jav.01853
description: The migration routes of Red‐necked Phalaropes breeding around the Bering Sea are poorly known, despite the fact that the Bering Sea could mark the boundary between the East Palearctic populations that winter in the Pacific Ocean around the East Indies and the West Nearctic populations that winter in the Pacific Ocean off the coast of South America. Geolocator data retrieved from two male phalaropes tagged in southern Chukotka, Far Eastern Russia, confirm that birds breeding in this region belong to the East Palearctic population and winter in the East Indies, suggesting that the division line with the West Nearctic population is farther to the East. The routes taken by the two phalaropes were almost entirely pelagic, totaling around 18,000–20,000 km round‐trip, with the birds continuously on the move during migration, rather than resident in any particular stopover site, contrary to most other migratory shorebirds.
DOI: 10.5441/001/1.kk38017f/1
title: White-fronted goose full year tracks 2006-2010 Alterra IWWR-argos

description: Kölzsch A, Kleyheeg E, Kruckenberg H, Kaatz M, Blasius B (2018) A periodic Markov model to formalise animal migration on a network. Royal Society Open Science 5: 180438. doi:10.1098/rsos.180438
description: Regular, long-distance migrations of thousands of animal species have consequences for the ecosystems that they visit, modifying trophic interactions and transporting many non-pathogenic and pathogenic organisms. The spatial structure and dynamic properties of animal migrations and population flyways largely determine those trophic and transport effects, but are yet poorly studied. As a basis, we propose a periodic Markov model on the spatial migration network of breeding, stopover and wintering sites to formally describe the process of animal migration on the population level. From seasonally changing transition rates we derived stable, seasonal densities of animals at the network nodes. We parametrized the model with high-quality GPS and satellite telemetry tracks of white storks (Ciconia ciconia) and greater white-fronted geese (Anser a. albifrons). Topological and network flow properties of the two derived networks conform to migration properties like seasonally changing connectivity and shared, directed movement. Thus, the model realistically describes the migration movement of complete populations and can become an important tool to study the effects of climate and habitat change and pathogen spread on migratory animals. Furthermore, the property of periodically changing transition rates makes it a new type of complex model and we need to understand its dynamic properties.
DOI: 10.5441/001/1.p41784h5/2
title: Red-necked Phalarope southern Chukotka (data from Mu et al. 2018)-light levels

description: Mu T, Tomkovich PS, Loktionov EY, Syroechkovskiy EE, Wilcove DS, Migratory routes of red-necked phalaropes Phalaropus lobatus breeding in southern Chukotka revealed by geolocators. Journal of Avian Biology e01853. doi:10.1111/jav.01853
description: The migration routes of Red‐necked Phalaropes breeding around the Bering Sea are poorly known, despite the fact that the Bering Sea could mark the boundary between the East Palearctic populations that winter in the Pacific Ocean around the East Indies and the West Nearctic populations that winter in the Pacific Ocean off the coast of South America. Geolocator data retrieved from two male phalaropes tagged in southern Chukotka, Far Eastern Russia, confirm that birds breeding in this region belong to the East Palearctic population and winter in the East Indies, suggesting that the division line with the West Nearctic population is farther to the East. The routes taken by the two phalaropes were almost entirely pelagic, totaling around 18,000–20,000 km round‐trip, with the birds continuously on the move during migration, rather than resident in any particular stopover site, contrary to most other migratory shorebirds.
DOI: 10.5441/001/1.p41784h5/1
title: Red-necked Phalarope southern Chukotka (data from Mu et al. 2018)-accessory

description: Mu T, Tomkovich PS, Loktionov EY, Syroechkovskiy EE, Wilcove DS, Migratory routes of red-necked phalaropes Phalaropus lobatus breeding in southern Chukotka revealed by geolocators. Journal of Avian Biology e01853. doi:10.1111/jav.01853
description: The migration routes of Red‐necked Phalaropes breeding around the Bering Sea are poorly known, despite the fact that the Bering Sea could mark the boundary between the East Palearctic populations that winter in the Pacific Ocean around the East Indies and the West Nearctic populations that winter in the Pacific Ocean off the coast of South America. Geolocator data retrieved from two male phalaropes tagged in southern Chukotka, Far Eastern Russia, confirm that birds breeding in this region belong to the East Palearctic population and winter in the East Indies, suggesting that the division line with the West Nearctic population is farther to the East. The routes taken by the two phalaropes were almost entirely pelagic, totaling around 18,000–20,000 km round‐trip, with the birds continuously on the move during migration, rather than resident in any particular stopover site, contrary to most other migratory shorebirds.
DOI: 10.5441/001/1.kk38017f/2
title: White-fronted goose full year tracks 2006-2010 Alterra IWWR-gps

description: Kölzsch A, Kleyheeg E, Kruckenberg H, Kaatz M, Blasius B (2018) A periodic Markov model to formalise animal migration on a network. Royal Society Open Science 5: 180438. doi:10.1098/rsos.180438
description: Regular, long-distance migrations of thousands of animal species have consequences for the ecosystems that they visit, modifying trophic interactions and transporting many non-pathogenic and pathogenic organisms. The spatial structure and dynamic properties of animal migrations and population flyways largely determine those trophic and transport effects, but are yet poorly studied. As a basis, we propose a periodic Markov model on the spatial migration network of breeding, stopover and wintering sites to formally describe the process of animal migration on the population level. From seasonally changing transition rates we derived stable, seasonal densities of animals at the network nodes. We parametrized the model with high-quality GPS and satellite telemetry tracks of white storks (Ciconia ciconia) and greater white-fronted geese (Anser a. albifrons). Topological and network flow properties of the two derived networks conform to migration properties like seasonally changing connectivity and shared, directed movement. Thus, the model realistically describes the migration movement of complete populations and can become an important tool to study the effects of climate and habitat change and pathogen spread on migratory animals. Furthermore, the property of periodically changing transition rates makes it a new type of complex model and we need to understand its dynamic properties.
DOI: 10.5285/bcf1cbcc-e7ee-41d2-aa01-6907b4d30e3d
title: Ground penetrating radar data from the Larsen C Ice Shelf, 2014 and 2015

description: This archive is a suite of ground penetrating radar (GPR) data acquired by Project MIDAS during field campaigns on Larsen C, in 2014 and 2015. All data were acquired with a Sensors & Software pulsEKKO PRO GPR system, fitted with antennas of 200 MHz centre-frequency. The system was towed behind a snowmobile, with distances recorded with GPS. These data are part of the NERC-funded MIDAS ('Impact of surface melt and ponding on ice shelf dynamics and stability') research project, with grant references NE/L006707/1 and NE/L005409/1. Other MIDAS data are available.
description: Data are provided in two formats: - Raw data files output in pulseEKKO format (.dt1 and .hd files), and a corresponding .gps file. - Processed data files in .sgy format. The SegyMAT software to read these data into MATLAB can be downloaded from https://sourceforge.net/projects/segymat/, and documentation for the SegyMAT software can be found at https://cultpenguin.gitbooks.io/segymat/content/.
DOI: 10.15152/qdb.203
title: QDB archive #203

description: This QDB archive contains data and model(s) from the following publication: Oja, M.; Maran, U. pH-permeability profiles for drug substances: experimental detection, comparison with human intestinal absorption and modelling. Eur. J. Pharm. Sci. 2018. (revision sent back to journal)
DOI: 10.15152/qdb.204
title: QDB archive #204

description: This QDB archive contains data and model(s) from the following publication: Zhu, M.; Gu, C.; Cheng, Y.; Ju, X.; Bian, Y.; Yang, X.; Song, Y.; Ye, M.; Wang, F.; Jiang, X. Theoretical investigation of congener-specific soil sorption of polychlorinated biphenyls by DFT computation and potent QSAR analyses. Journal of Soils and Sediments 2016, 17, 35–46.
DOI: 10.5441/001/1.3pk82706/1
title: Greater horseshoe bat Annepont France (data from Pinaud et al. 2018)

description: Pinaud D, Claireau F, Leuchtmann M, Kerbiriou C (2018) Modelling landscape connectivity for greater horseshoe bat using an empirical quantification of resistance. Journal of Applied Ecology. doi:10.1111/1365‐2664.13228
description: (1) Habitat fragmentation and isolation as a result of human activities have been recognized as great threats to population viability. Evaluating landscape connectivity in order to identify and protect linkages has therefore become a key challenge in applied ecology and conservation. (2) One useful approach to evaluate connectivity is Least‐Cost Path (LCP) analysis. However, several studies have highlighted importance of parameterization with empirical, biologically‐relevant proxies of factors affecting movements, as well as the need to validate the LCP model with an independent dataset. (3) We used LCP analysis incorporating quantitative, empirical data about behaviour of the greater horseshoe bat Rhinolophus ferrumequinum to build up a model of functional connectivity in relation to landscape connecting features. We then validated the accumulated costs surface from the LCP model with two independent datasets; one at an individual level with radio tracking data and one at a population level with acoustic data. (4) When defining resistance, we found that the probability of bat presence in a hedgerow is higher when the distance between hedgerows is below 38 m, and decrease rapidly when gaps are larger than 50 m. The LCP model was validated by both datasets: the independent acoustic data showed that the probability of bat presence was significantly higher in areas with lower accumulated costs, and the radio tracking data showed that foraging was more likely in areas where accumulated costs were significantly lower. (5) Synthesis and applications. Through our modelling approach, we recommend a maximum of 38m (and no more than 50m) between connecting features around colonies of greater horseshoe bats. Our quantitative study highlights the value of this framework for conservation: results are directly applicable in the field and the framework can be applied to other species sensitive to habitat loss, including other bats. Provided that it is parameterized with empirical, biologically‐relevant data, this modelling approach can be used for restoring and evaluating green networks in agri‐environmental schemes and management plans.
DOI: 10.5441/001/1.3pk82706/2
title: Greater horseshoe bat Annepont France (data from Pinaud et al. 2018)-reference-data

description: Pinaud D, Claireau F, Leuchtmann M, Kerbiriou C (2018) Modelling landscape connectivity for greater horseshoe bat using an empirical quantification of resistance. Journal of Applied Ecology. doi:10.1111/1365‐2664.13228
description: (1) Habitat fragmentation and isolation as a result of human activities have been recognized as great threats to population viability. Evaluating landscape connectivity in order to identify and protect linkages has therefore become a key challenge in applied ecology and conservation. (2) One useful approach to evaluate connectivity is Least‐Cost Path (LCP) analysis. However, several studies have highlighted importance of parameterization with empirical, biologically‐relevant proxies of factors affecting movements, as well as the need to validate the LCP model with an independent dataset. (3) We used LCP analysis incorporating quantitative, empirical data about behaviour of the greater horseshoe bat Rhinolophus ferrumequinum to build up a model of functional connectivity in relation to landscape connecting features. We then validated the accumulated costs surface from the LCP model with two independent datasets; one at an individual level with radio tracking data and one at a population level with acoustic data. (4) When defining resistance, we found that the probability of bat presence in a hedgerow is higher when the distance between hedgerows is below 38 m, and decrease rapidly when gaps are larger than 50 m. The LCP model was validated by both datasets: the independent acoustic data showed that the probability of bat presence was significantly higher in areas with lower accumulated costs, and the radio tracking data showed that foraging was more likely in areas where accumulated costs were significantly lower. (5) Synthesis and applications. Through our modelling approach, we recommend a maximum of 38m (and no more than 50m) between connecting features around colonies of greater horseshoe bats. Our quantitative study highlights the value of this framework for conservation: results are directly applicable in the field and the framework can be applied to other species sensitive to habitat loss, including other bats. Provided that it is parameterized with empirical, biologically‐relevant data, this modelling approach can be used for restoring and evaluating green networks in agri‐environmental schemes and management plans.
DOI: 10.15152/qdb.205
title: QDB archive #205

description: This QDB archive contains data and model(s) from the following publication: Käärik, M.; Maran, U.; Arulepp, M.; Perkson, A.; Leis, J. Quantitative nano-structure-property relationships for the nanoporous carbon: Predicting the performance of energy storage materials. ACS Appl. Energy Mater. 2018, xx, xx-xx.
DOI: 10.25612/837.01jazbz6zgr0
title: The Houston Area Survey on Education

description: The Houston Area Survey on Education is part of the SHEA study, majorly funded by Houston Endowment. This comprehensive survey was designed to assess systematically Harris County residents' experiences and attitudes with regard to educational disparities.
DOI: 10.5525/gla.researchdata.1065
title: Tracking animal movements using biomarkers from tail hairs: A novel approach for animal geolocating from sulfur isoscapes
DOI: 10.13140/rg.2.2.34143.69286
title: Derby University Response 14/09/20 Ofer and Anat’s Reaction 15/9/20
DOI: 10.6084/m9.figshare.12478763
title: Raw data (Supporting Information): The anti-neuroinflammatory effects of Clinacanthus nutans leaf extract on metabolism elucidated through 1H NMR in correlation with cytokines microarray

description: Clinacanthus nutans (CN) (Acanthaceae) is well-known for its anti-inflammatory properties among Asian communities; however, there are currently no data specifically focused on the anti-inflammatory effects of CN on the brain tissue. Neuroinflammation is a common consequence of toxin intrusion to any part of the central nervous system (CNS). As an innate immune response, the CNS may react through both protective and/or toxic actions due to the activation of neuron cells producing pro- and/or anti-inflammatory cytokines in the brain. The unresolved activation of the inflammatory cytokines’ response is associated with the pathogenesis of neurological disorders. The present study aimed to decipher the metabolic mechanism on the effects of 14 days oral treatment with CN aqueous extract in induced-lipopolysaccharides (LPS) rats through 1H NMR spectroscopic biomarker profiling of the brain tissue and the related cytokines. Based on the principal component analysis (PCA) of the nuclear magnetic resonance (NMR) spectral data, twenty-one metabolites in the brain tissue were profiled as biomarkers for the LPS (10 μL)-induced neuroinflammation following intracerebroventricular injection. Among the twenty-one biomarkers in the neuroinflammed rats, CN treatment of 1000 and 500 mg/kg BW successfully altered lactate, pyruvate, phosphorylcholine, glutamine, and α-ketoglutarate when compared to the negative control. Likewise, statistical isolinear multiple component analysis (SIMCA) showed that treatments by CN and the positive control drug, dextromethorphan (DXM, 5 mg/kg BW), have anti-neuroinflammatory potential. A moderate correlation, in the orthogonal partial least squares (OPLS) regression model, was found between the spectral metabolite profile and the cytokine levels. The current study revealed the existence of high levels of pro-inflammatory cytokines, namely IL-1α, IL-1β, and TNF-α in LPS-induced rats. Both CN dose treatments lowered IL-1β significantly better than DXM Interestingly, DXM and CN treatments both exhibited the upregulation of the anti-inflammatory cytokines IL-2 and 4. However, DXM has an advantage over CN in that the former also increased the expression of IL-10 of anti-inflammatory cytokines. In this study, a metabolomics approach was successfully applied to discover the mechanistic role of CN in controlling the neuroinflammatory conditions through the modulation of complex metabolite interactions in the rat brain.