cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5441/001/1.81bs0nf7/5
title: Thick-billed murre Patterson Coats meps13890_part-reference-data

description: Patterson A, Gilchrist HG, Robertson GJ, Hedd A, Fifield DA, Elliott KH. 2022. Behavioural flexibility in an Arctic seabird using two distinct marine habitats to survive the energetic constraints of winter. Movement Ecol. 10:45. doi:10.1186/s40462-022-00344-3
description: Background: Homeothermic marine animals in Polar Regions face an energetic bottleneck in winter. The challenges of short days and cold temperatures are exacerbated for flying seabirds with small body size and limited fat stores. We use biologging approaches to examine how habitat, weather, and moon illumination influence behaviour and energetics of a marine bird species, thick-billed murres (Uria lomvia). Methods: We used temperature-depth-light recorders to examine strategies murres use to survive winter in the Northwest Atlantic, where contrasting currents create two distinct marine habitats: cold (−0.1 ± 1.2 °C), shallower water along the Labrador Shelf and warmer (3.1 ± 0.3 °C), deep water in the Labrador Basin. Results: In the cold shelf water, murres used a high-energy strategy, with more flying and less diving each day, resulting in high daily energy expenditure and also high apparent energy intake; this strategy was most evident in early winter when day lengths were shortest. By contrast, murres in warmer basin water employed a low-energy strategy, with less time flying and more time diving under low light conditions (nautical twilight and night). In warmer basin water, murres increased diving at night when the moon was more illuminated, likely taking advantage of diel vertically migrating prey. In warmer basin water, murres dove more at night and foraging efficiency increased under negative North Atlantic Oscillation (calmer ocean conditions). Conclusions: The proximity of two distinct marine habitats in this region allows individuals from a single species to use dual (low-energy/high-energy) strategies to overcome winter energy bottlenecks.
DOI: 10.6084/m9.figshare.21514260
title: drift_data.zip

description: This dataset is synthetic, and generated with concept drifts.
DOI: 10.5517/ccdc.csd.cc2d71zp
title: CCDC 2211322: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Claus Overländer, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d72yp
title: CCDC 2211352: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Sahir Ekici, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d73yq
title: CCDC 2211383: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Christian Boelsen, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d7qbq
title: CCDC 2211953: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Sahir Ekici, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d7yxj
title: CCDC 2212188: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Murat S. Bozkurt, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d85kf
title: CCDC 2212394: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Sahir Ekici, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d85wr
title: CCDC 2212404: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Jürgen Tirree, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d861y
title: CCDC 2212409: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Andrew Solovyov, Heidi Mansikkamäki, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d86c8
title: CCDC 2212419: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Andrew Solovyov, Heidi Mansikkamäki, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d96jg
title: CCDC 2213385: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Claus Overländer, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d9743
title: CCDC 2213404: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Murat S.Bozkurt, Edgar Niecke
|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d9hnw
title: CCDC 2213668: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Murat S.Bozkurt, Edgar Niecke
|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d9jbl
title: CCDC 2213689: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Sahir Ekici, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d9k9l
title: CCDC 2213719: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Corvin Volkholz, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d9rwc
title: CCDC 2213923: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Corvin Volkholz, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d9s4n
title: CCDC 2213931: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Claus Overländer, Edgar Niecke|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6073/pasta/f5e99e8bbd47c0a7bec1167b55bf9e65
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 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-12 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: 10.6084/m9.figshare.21507189.v3
title: GAN2000 - MODEL WEIGHTS

description: 2022-11-5 network-snapshot-000800.pkl - StyleGAN2 weight of melanocyticnevus_256x256 network-snapshot-000800_256.zip - result images <br> network-snapshot-000200.pkl - melanocyticnevus_512x512 network-snapshot-000200_512.zip - result images <br> 2022-11-7 network-snapshot-20221107.pkl - melanocyticnevus; 512x512
DOI: 10.6073/pasta/4181ee0963600b2dd91f36b0b8e0d708
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 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-12 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: 10.48324/dandi.000029/0.221107.2344
title: Test dataset for development purposes

description: Should be ignored by regular mortals, and not relied upon being static or ever correct.
Должно быть введено на Английском, но почему бы нам не проверить всю эту кухню 
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DOI: 10.6084/m9.figshare.19612173.v1
title: International demand for food and services drives environmental footprints of pesticide use

description: This is a dataset for data generated in Tang et al. (2022). This dataset includes three Supplementary Data files, five source data files, and the georeferenced global maps of pesticide hazard loads for 175 crops. The pesticide hazard loads are defined as the total body weight (bw) of non-target organisms required to absorb pesticides accumulated in the environment at an annual intake that will not result in observable adverse effects. The pesticide hazard load maps have a unit of kg-bw. The maps and analyses refer to the pesticide use as of 2015. Details of the methods used to produce these maps and analyses can be found in Tang et al. (2022). <br> Tang F.H.M, Malik A., Li M., Lenzen M., and Maggi F. (2022). International demand for food and services drives environmental footprints of pesticide use. Communications Earth & Environment.
DOI: 10.6073/pasta/b9ecf0c86f7f7afac34f28a600275f39
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-12. 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-12 site. This is an ONGOING dataset.
DOI: 10.34943/f5c2cfa9-50c7-4260-bf84-11482055d62e
title: Atlantic Oceanographic Radar System Deployed 2021-08-12

description: The Nova Scotia Shelf CODAR Array was deployed on 2021-08-12 at Atlantic. The Atlantic region includes the Bay of Fundy and areas in the Altantic ocean. This device is a Oceanographic Radar System. Oceanographic radars measure the ocean surface currents and waves in near real-time, by timing reflected radio waves, and contribute to an accurate prediction of severe weather conditions. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.19612173.v2
title: International demand for food and services drives environmental footprints of pesticide use

description: This is a dataset for data generated in Tang et al. (2022). This dataset includes three Supplementary Data files, five source data files, and the georeferenced global maps of pesticide hazard loads for 175 crops. The pesticide hazard loads are defined as the total body weight (bw) of non-target organisms required to absorb pesticides accumulated in the environment at an annual intake that will not result in observable adverse effects. The pesticide hazard load maps have a unit of kg-bw. The maps and analyses refer to the pesticide use as of 2015. Details of the methods used to produce these maps and analyses can be found in Tang et al. (2022). <br> Tang F.H.M, Malik A., Li M., Lenzen M., and Maggi F. (2022). International demand for food and services drives environmental footprints of pesticide use. Communications Earth & Environment, 3:272, https://doi.org/10.1038/s43247-022-00601-8.
DOI: 10.6073/pasta/9045df07f869636e2754cf04b63f6a9a
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 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-12. 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-12 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/9b2e5e45307fc9dae52e254ab9eac72b
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average 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: 10.6084/m9.figshare.21514332
title: data.xlsx

description: original data that used for the evaluation of rural public service resilience
DOI: 10.6084/m9.figshare.21514332.v1
title: data.xlsx

description: original data that used for the evaluation of rural public service resilience
DOI: 10.5281/zenodo.7150233
title: Green taxes as ecosystem conservation: an analysis of the industrial sector's view in Peru

description: <strong>Background:</strong> Environmental problems are becoming more and more recurrent nowadays, which is why many countries have acted on the matter, through different forms, laws and taxes that can contribute and reduce the polluting impact of companies at the time of manufacturing their products. One of the reforms has been environmental taxes, which are not only aimed at raising money, but also at taking corrective action on the behavior of companies that damage both the environment and the health of the population. <strong>Objective:</strong> The research is interested in finding out the opinion and interest of managers of different companies in the industrial sector on environmental taxes, also known as green taxes, and whether they consider it necessary to add green taxes to the current tax system. <strong>Method:</strong> For the data collection of the research, 120 managers of small and medium-sized enterprises in the industrial sector were questioned about whether green taxes could have an influence on ecosystem conservation and several other questions. <strong>Results: </strong>63.3% of the managers surveyed agree that the application of an environmental tax is necessary.
DOI: 10.5281/zenodo.7150232
title: Green taxes as ecosystem conservation: an analysis of the industrial sector's view in Peru

description: <strong>Background:</strong> Environmental problems are becoming more and more recurrent nowadays, which is why many countries have acted on the matter, through different forms, laws and taxes that can contribute and reduce the polluting impact of companies at the time of manufacturing their products. One of the reforms has been environmental taxes, which are not only aimed at raising money, but also at taking corrective action on the behavior of companies that damage both the environment and the health of the population. <strong>Objective:</strong> The research is interested in finding out the opinion and interest of managers of different companies in the industrial sector on environmental taxes, also known as green taxes, and whether they consider it necessary to add green taxes to the current tax system. <strong>Method:</strong> For the data collection of the research, 120 managers of small and medium-sized enterprises in the industrial sector were questioned about whether green taxes could have an influence on ecosystem conservation and several other questions. <strong>Results: </strong>63.3% of the managers surveyed agree that the application of an environmental tax is necessary.