cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4507880
title: Origins of replication in vivo source data files

description: This data archive contains sequence source data for "DDK regulates replication initiation by controlling the multiplicity of Cdc45-GINS binding to Mcm2-7" by Lorraine De Jesus-Kim, Larry J. Friedman, Marko Lõoke, Christian Ramsoomair, Jeff Gelles, and Stephen P. Bell. The data archive (10.5281/zenodo.4507881) provides files for Figure 7.
DOI: 10.7303/syn12196718.3
title: HelloWorld.js modified
DOI: 10.6073/pasta/0dfd6bcd33f087a021894bbb1d45efd3
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-9 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/2c55a75266401bf46c09d6de7336f3f8
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-9 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/823f54aaac56be4f70281a2645790a9e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-9. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-9 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/4fcecf472da9431dabf474f45c734d8c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-9. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-9 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/47731fb01bc0680072aebde7402dbd97
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-9 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.5281/zenodo.4586585
title: Dataset for the paper: Managing Systems Evolving in Space and Time: Four Challenges for Maintenance, Evolution and Composition of Variants

description: The dataset contains ground-truth variants and their configurations for all scenarios described in the paper: Managing Systems Evolving in Space and Time: Four Challenges for Maintenance, Evolution and Composition of Variants. The ground-truth variants for feature location and composition of variants with features is in the folder named by &lt;systemName&gt;_Variants_With_Features.rar The ground-truth for feature revision location and composition of variants with feature revisions is in the folder named by &lt;systemName&gt;_Variants_With_Feature_Revisions.rar The additional scenario is in the folder named by LibSSH_Variants_With_Feature_Revisions_ExtraScenario.rar For every scenario use as input variants the variants inside a folder named by inputConfigurations. For every scenario use as ground-truth variants of new configurations the variants inside a folder named by newConfigurations. The scenarios for feature location are split according to the number of variants, therefore the first scenario, for example, has the first variant of the file named by Inputconfigurations.csv. The second scenario must have the first variant + the second variant of the file named by Inputconfigurations.csv. The third scenario must have the first three variants of the file named by Inputconfigurations.csv, and so on, according to the Table 1 in the paper. Regarding composing new configurations with features, use the new configurations in the file Newconfigurations.csv or NewConfigurations.txt and as ground-truth variants the variants in the folder newConfigurations. The scenarios for feature revision location are split according to the number of Git commits, therefore the first scenario, for example, has all the variants of the first Git commit in the file named by inputConfigurations.csv. The second scenario must have all the variants from the first 5 Git commits in the file named by inputConfigurations.csv, and so on, according to the Table 2 in the paper. Note: For every line of the file inputConfigurations.csv, the first column represents the number of a Git commit, the second column contains the hash of a Git commit and the following columns contain the feature revisions of a configuration. Regarding composing new configurations with feature revisions, use the new configurations in the file newConfigurations.csv and as ground-truth variants the variants in the folder newConfigurations.
DOI: 10.5281/zenodo.4586584
title: Dataset for the paper: Managing Systems Evolving in Space and Time: Four Challenges for Maintenance, Evolution and Composition of Variants

description: The dataset contains ground-truth variants and their configurations for all scenarios described in the paper: Managing Systems Evolving in Space and Time: Four Challenges for Maintenance, Evolution and Composition of Variants. The ground-truth variants for feature location and composition of variants with features is in the folder named by &lt;systemName&gt;_Variants_With_Features.rar The ground-truth for feature revision location and composition of variants with feature revisions is in the folder named by &lt;systemName&gt;_Variants_With_Feature_Revisions.rar The additional scenario is in the folder named by LibSSH_Variants_With_Feature_Revisions_ExtraScenario.rar For every scenario use as input variants the variants inside a folder named by inputConfigurations. For every scenario use as ground-truth variants of new configurations the variants inside a folder named by newConfigurations. The scenarios for feature location are split according to the number of variants, therefore the first scenario, for example, has the first variant of the file named by Inputconfigurations.csv. The second scenario must have the first variant + the second variant of the file named by Inputconfigurations.csv. The third scenario must have the first three variants of the file named by Inputconfigurations.csv, and so on, according to the Table 1 in the paper. Regarding composing new configurations with features, use the new configurations in the file Newconfigurations.csv or NewConfigurations.txt and as ground-truth variants the variants in the folder newConfigurations. The scenarios for feature revision location are split according to the number of Git commits, therefore the first scenario, for example, has all the variants of the first Git commit in the file named by inputConfigurations.csv. The second scenario must have all the variants from the first 5 Git commits in the file named by inputConfigurations.csv, and so on, according to the Table 2 in the paper. Note: For every line of the file inputConfigurations.csv, the first column represents the number of a Git commit, the second column contains the hash of a Git commit and the following columns contain the feature revisions of a configuration. Regarding composing new configurations with feature revisions, use the new configurations in the file newConfigurations.csv and as ground-truth variants the variants in the folder newConfigurations.
DOI: 10.6073/pasta/56e232c1307da3afa337f7392eaddde4
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-9 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-9 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.25666/dataosu-2021-03-05
title: WRF-CORDEX simulations on the Europe domain EUR-44
title: Simulations WRF-CORDEX sur le domaine Europe EUR-44

description: WRF-CORDEX simulations on the European EUR-44 domain at 44 kms resolution. The version of the WRF model is 3.8.1 (Advance Research WRF dynamics (Skamarock et al 2008.)) forced by ERA-interim for the control run and CCSM4 for the scenarios. 4 sets of data are therefore available: the control run over the period 1979-2016, the historical run over the period 1951-2005, the climate projections from 2006 to 2100. The parameterizations used are as follows: PBL: YSU (Hong et al., 2006) for WRF360L_v1. Cumulus: Kain-Fritsch (Kain, 2004) Microphysics: Morrison 2-mom (Morrison, Thompson and Tatarskii (2009, MWR) Radiation: RRTMG for SW and LW (Iacono et al 2008 JGR) Soil: Noah_mp (Niu et al. 2011) Aerosol: Prescribed Tegen et al. (1997).
description: Simulations WRF-CORDEX sur le domaine Europe EUR-44 à 44 kms de résolution. La version du modèle WRF est la 3.8.1 (Advance Research WRF dynamics (Skamarock et al 2008.)) forcée par ERA-interim pour le run de control et CCSM4 pour les scénarios. 4 jeux de données sont donc disponibles : le run de controle sur la période 1979-2016, le run historique sur la période 1951-2005, les projections climatiques de 2006 à 2100. Les paramétrisations utilisées sont les suivantes : PBL : YSU (Hong et al., 2006) for WRF360L_v1. Cumulus : Kain-Fritsch (Kain, 2004) Microphysics : Morrison 2-mom (Morrison, Thompson and Tatarskii (2009, MWR) Radiation : RRTMG for SW and LW ( Iacono et al 2008 JGR) Soil : Noah_mp (Niu et al. 2011) Aerosol : Prescrit Tegen et al. (1997).
description: Audience: General, University: master, Research, Informal Education, Policy maker
description: UpdatePeriodicity: no update
description: AdditionnalInformation: To access the data, please contact the data server manager (computing contact) to create an account to freely access the data.
description: AdditionnalInformation: Pour accéder aux données, merci de contacter l'administrateur du serveur (contact informatique) pour obtenir l'ouverture gratuite d'un compte d'accès aux données.
description: Project: WCRP/CORDEX Coordinated Regional Climate Downscaling Experiment
description: Simulation or computational data: Regional climate simulation using the ARW/WRF model v.3.8.1.
description: Données computationnelles ou de simulation: Simulation climatique régionale utilisant le modèle ARW/WRF v.3.8.1.
DOI: 10.5281/zenodo.4586753
title: Online Resource 1 - Maximal hoop stress developed in the lining of a tunnel at the state of equilibrium (comparison between different calculation methods)

description: The maximal hoop stress developed in the lining of a tunnel at the state of equilibrium calculated with the various ConVergence-ConFinement (CV-CF) methods is compared with the results obtained with a 3D numerical model of a tunnel excavation. A sensibility analysis is performed in order to compare the performance of the CV-CF approaches. Support lay distance has been variated between zero and two tunnel diameters. The total set of results from the sensibility analysis is shown in this work.
DOI: 10.5281/zenodo.4586752
title: Online Resource 1 - Maximal hoop stress developed in the lining of a tunnel at the state of equilibrium (comparison between different calculation methods)

description: The maximal hoop stress developed in the lining of a tunnel at the state of equilibrium calculated with the various ConVergence-ConFinement (CV-CF) methods is compared with the results obtained with a 3D numerical model of a tunnel excavation. A sensibility analysis is performed in order to compare the performance of the CV-CF approaches. Support lay distance has been variated between zero and two tunnel diameters. The total set of results from the sensibility analysis is shown in this work.
DOI: 10.25666/dataosu-2021-03-05-02
title: WRF-CORDEX simulations on the Mediterranean domain MED-44
title: Simulations WRF-CORDEX sur le domain Méditerranée MED-44

description: WRF-CORDEX simulations on the Mediterranean MED-44 domain at 44 kms resolution. The version of the WRF model is 3.8.1 (Advance Research WRF dynamics (Skamarock et al 2008.)) forced by ERA-interim for the control run and CCSM4 for the scenarios. 4 sets of data are therefore available: the control run over the period 1979-2016, the historical run over the period 1951-2005, the climate projections from 2006 to 2100. The parameterizations used are as follows: PBL: YSU (Hong et al., 2006) for WRF360L_v1. Cumulus: Kain-Fritsch (Kain, 2004) Microphysics: Morrison 2-mom (Morrison, Thompson and Tatarskii (2009, MWR) Radiation: RRTMG for SW and LW (Iacono et al 2008 JGR) Soil: Noah_mp (Niu et al. 2011) Aerosol: Prescribed Tegen et al. (1997).
description: Simulations WRF-CORDEX sur le domaine Méditerranée MED-44 à 44 kms de résolution. La version du modèle WRF est la 3.8.1 (Advance Research WRF dynamics (Skamarock et al 2008.)) forcée par ERA-interim pour le run de control et CCSM4 pour les scénarios. 4 jeux de données sont donc disponibles : le run de controle sur la période 1979-2016, le run historique sur la période 1951-2005, les projections climatiques de 2006 à 2100. Les paramétrisations utilisées sont les suivantes : PBL : YSU (Hong et al., 2006) for WRF360L_v1. Cumulus : Kain-Fritsch (Kain, 2004) Microphysics : Morrison 2-mom (Morrison, Thompson and Tatarskii (2009, MWR) Radiation : RRTMG for SW and LW ( Iacono et al 2008 JGR) Soil : Noah_mp (Niu et al. 2011) Aerosol : Prescrit Tegen et al. (1997).
description: Audience: General, University: master, Research, Informal Education, Policy maker
description: UpdatePeriodicity: no update
description: AdditionnalInformation: To access the data, please contact the data server manager (computing contact) to create an account to freely access the data.
description: AdditionnalInformation: Pour accéder aux données, merci de contacter l'administrateur du serveur (contact informatique) pour obtenir l'ouverture gratuite d'un compte d'accès aux données.
description: Project: WCRP/CORDEX Coordinated Regional Climate Downscaling Experiment
description: Simulation or computational data: Regional climate simulation using the ARW/WRF model v.3.8.1.
description: Données computationnelles ou de simulation: Simulation climatique régionale utilisant le modèle ARW/WRF v.3.8.1.
DOI: 10.6084/m9.figshare.14155985
title: Female_data_code.R

description: Many bird species are negatively impacted by obligate avian brood parasites, which lay their eggs in the nests of host species. The Yellow Warbler (<i>Setophaga petechia</i>), which is host to the brood-parasitic Brown-headed Cowbird (<i>Molothrus</i> <i>ater</i>), represents one of the best-replicated study systems assessing antiparasitic host defenses. Over 15 prior studies on Yellow Warblers have used model presentation experiments, where breeding hosts are exposed to models of Brown-headed Cowbirds and other nest threats, to test for defenses unique to this species. Here we present results from our own quasi-replication study of the Yellow Warbler/Brown-headed Cowbird system, which used a novel design compared to previous experiments by conducting acoustic playback treatments only rather than presenting visual models with or without calls. We exposed active Yellow Warbler nests to playbacks of Brown-headed Cowbird chatters, Blue Jay calls (<i>Cyanocitta cristata</i>; nest predator), conspecific “seet” calls (a referential alarm call for brood parasitism risk), conspecific “chip” calls (a generic alarm call), and control Wood Thrush (<i>Hylocichla mustelina</i>) songs during the incubation stage. Similar to previous studies, we found that female warblers seet called more frequently in response to playback of brood parasitic chatter calls and conspecific seet calls but produced more chip calls in response to playback of nest predator calls. However, female Yellow Warblers approached all playbacks to similar distances, which was different from the patterns seen in previous studies. Our study demonstrates the importance of both replicating and also pivoting experimental studies on nest defense behavior, as slight differences in experimental design can elicit novel behavioral responses in the same species.
DOI: 10.6084/m9.figshare.14155985.v2
title: Female_data_code.R

description: Many bird species are negatively impacted by obligate avian brood parasites, which lay their eggs in the nests of host species. The Yellow Warbler (<i>Setophaga petechia</i>), which is host to the brood-parasitic Brown-headed Cowbird (<i>Molothrus</i> <i>ater</i>), represents one of the best-replicated study systems assessing antiparasitic host defenses. Over 15 prior studies on Yellow Warblers have used model presentation experiments, where breeding hosts are exposed to models of Brown-headed Cowbirds and other nest threats, to test for defenses unique to this species. Here we present results from our own quasi-replication study of the Yellow Warbler/Brown-headed Cowbird system, which used a novel design compared to previous experiments by conducting acoustic playback treatments only rather than presenting visual models with or without calls. We exposed active Yellow Warbler nests to playbacks of Brown-headed Cowbird chatters, Blue Jay calls (<i>Cyanocitta cristata</i>; nest predator), conspecific “seet” calls (a referential alarm call for brood parasitism risk), conspecific “chip” calls (a generic alarm call), and control Wood Thrush (<i>Hylocichla mustelina</i>) songs during the incubation stage. Similar to previous studies, we found that female warblers seet called more frequently in response to playback of brood parasitic chatter calls and conspecific seet calls but produced more chip calls in response to playback of nest predator calls. However, female Yellow Warblers approached all playbacks to similar distances, which was different from the patterns seen in previous studies. Our study demonstrates the importance of both replicating and also pivoting experimental studies on nest defense behavior, as slight differences in experimental design can elicit novel behavioral responses in the same species.
DOI: 10.6084/m9.figshare.14155985.v1
title: Female_data_code.R

description: Many bird species are negatively impacted by obligate avian brood parasites, which lay their eggs in the nests of host species. The Yellow Warbler (<i>Setophaga petechia</i>), which is host to the brood-parasitic Brown-headed Cowbird (<i>Molothrus</i> <i>ater</i>), represents one of the best-replicated study systems assessing antiparasitic host defenses. Over 15 prior studies on Yellow Warblers have used model presentation experiments, where breeding hosts are exposed to models of Brown-headed Cowbirds and other nest threats, to test for defenses unique to this species. Here we present results from our own quasi-replication study of the Yellow Warbler/Brown-headed Cowbird system, which used a novel design compared to previous experiments by conducting acoustic playback treatments only rather than presenting visual models with or without calls. We exposed active Yellow Warbler nests to playbacks of Brown-headed Cowbird chatters, Blue Jay calls (<i>Cyanocitta cristata</i>; nest predator), conspecific “seet” calls (a referential alarm call for brood parasitism risk), conspecific “chip” calls (a generic alarm call), and control Wood Thrush (<i>Hylocichla mustelina</i>) songs during the incubation stage. Similar to previous studies, we found that female warblers seet called more frequently in response to playback of brood parasitic chatter calls and conspecific seet calls but produced more chip calls in response to playback of nest predator calls. However, female Yellow Warblers approached all playbacks to similar distances, which was different from the patterns seen in previous studies. Our study demonstrates the importance of both replicating and also pivoting experimental studies on nest defense behavior, as slight differences in experimental design can elicit novel behavioral responses in the same species.