cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25505/fiz.icsd.cc24h6pk
title: CSD 1980828: Experimental Crystal Structure Determination

description: Related Article: Kimbal Thane Lu, Yingjie Zhang, Tao Wei, Jiří Čejka, Rongkun Zheng|2020|Dalton Trans.|49|5832|doi:10.1039/D0DT00526F
DOI: 10.5517/ccdc.csd.cc23y6z8
title: CSD 1964500: Experimental Crystal Structure Determination

description: Related Article: Sergey N. Volkov, Dmitri O. Charkin, Maxim Yu. Arsent’ev, Alexey V. Povolotskiy, Sergey Yu. Stefanovich, Valery L. Ugolkov, Maria G. Krzhizhanovskaya, Vladimir V. Shilovskikh, Rimma S. Bubnova|2020|Inorg.Chem.|59|2655|doi:10.1021/acs.inorgchem.0c00306
DOI: 10.5517/ccdc.csd.cc24h9cb
title: CSD 1980911: Experimental Crystal Structure Determination

description: Related Article: Sergey N. Volkov, Dmitri O. Charkin, Maxim Yu. Arsent’ev, Alexey V. Povolotskiy, Sergey Yu. Stefanovich, Valery L. Ugolkov, Maria G. Krzhizhanovskaya, Vladimir V. Shilovskikh, Rimma S. Bubnova|2020|Inorg.Chem.|59|2655|doi:10.1021/acs.inorgchem.0c00306
DOI: 10.5517/ccdc.csd.cc24h9gf
title: CSD 1980914: Experimental Crystal Structure Determination

description: Related Article: Sergey N. Volkov, Dmitri O. Charkin, Maxim Yu. Arsent’ev, Alexey V. Povolotskiy, Sergey Yu. Stefanovich, Valery L. Ugolkov, Maria G. Krzhizhanovskaya, Vladimir V. Shilovskikh, Rimma S. Bubnova|2020|Inorg.Chem.|59|2655|doi:10.1021/acs.inorgchem.0c00306
DOI: 10.5517/ccdc.csd.cc22550g
title: CCDC 1911584: Experimental Crystal Structure Determination

description: Related Article: K. González Nieves, D.M. Piñero Cruz|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|314|doi:10.1107/S2056989020001358
DOI: 10.25505/fiz.icsd.cc24hyg2
title: CSD 1981534: Experimental Crystal Structure Determination

description: Related Article: Ya Yang, Miao Song, Jie Zhang, Lihua Gao, Xiaowen Wu, Kui Wu|2020|Dalton Trans.|49|3388|doi:10.1039/D0DT00432D
DOI: 10.25505/fiz.icsd.cc24hyh3
title: CSD 1981535: Experimental Crystal Structure Determination

description: Related Article: Ya Yang, Miao Song, Jie Zhang, Lihua Gao, Xiaowen Wu, Kui Wu|2020|Dalton Trans.|49|3388|doi:10.1039/D0DT00432D
DOI: 10.25505/fiz.icsd.cc24hyj4
title: CSD 1981536: Experimental Crystal Structure Determination

description: Related Article: Ya Yang, Miao Song, Jie Zhang, Lihua Gao, Xiaowen Wu, Kui Wu|2020|Dalton Trans.|49|3388|doi:10.1039/D0DT00432D
DOI: 10.25505/fiz.icsd.cc24hyk5
title: CSD 1981537: Experimental Crystal Structure Determination

description: Related Article: Ya Yang, Miao Song, Jie Zhang, Lihua Gao, Xiaowen Wu, Kui Wu|2020|Dalton Trans.|49|3388|doi:10.1039/D0DT00432D
DOI: 10.25505/fiz.icsd.cc24j7jg
title: CSD 1981815: Experimental Crystal Structure Determination

description: Related Article: Haonan Liu, Hongping Wu, Hongwei Yu, Zhanggui Hu, Jiyang Wang, Yicheng Wu|2020|Inorg.Chem.|59|5742|doi:10.1021/acs.inorgchem.0c00511
DOI: 10.25505/fiz.icsd.cc24j7kh
title: CSD 1981816: Experimental Crystal Structure Determination

description: Related Article: Haonan Liu, Hongping Wu, Hongwei Yu, Zhanggui Hu, Jiyang Wang, Yicheng Wu|2020|Inorg.Chem.|59|5742|doi:10.1021/acs.inorgchem.0c00511
DOI: 10.25505/fiz.icsd.cc24j7lj
title: CSD 1981817: Experimental Crystal Structure Determination

description: Related Article: Haonan Liu, Hongping Wu, Hongwei Yu, Zhanggui Hu, Jiyang Wang, Yicheng Wu|2020|Inorg.Chem.|59|5742|doi:10.1021/acs.inorgchem.0c00511
DOI: 10.25505/fiz.icsd.cc24jcwy
title: CSD 1981950: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Alexander T. Chemey, Joseph M. Sperling, Bonnie E. Klamm, Thomas E. Albrecht-Schmitt|2020|Inorg.Chem.|59|4176|doi:10.1021/acs.inorgchem.0c00360
DOI: 10.25505/fiz.icsd.cc24jcxz
title: CSD 1981951: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Alexander T. Chemey, Joseph M. Sperling, Bonnie E. Klamm, Thomas E. Albrecht-Schmitt|2020|Inorg.Chem.|59|4176|doi:10.1021/acs.inorgchem.0c00360
DOI: 10.25505/fiz.icsd.cc24jcy0
title: CSD 1981952: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Alexander T. Chemey, Joseph M. Sperling, Bonnie E. Klamm, Thomas E. Albrecht-Schmitt|2020|Inorg.Chem.|59|4176|doi:10.1021/acs.inorgchem.0c00360
DOI: 10.25505/fiz.icsd.cc24jcz1
title: CSD 1981953: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Alexander T. Chemey, Joseph M. Sperling, Bonnie E. Klamm, Thomas E. Albrecht-Schmitt|2020|Inorg.Chem.|59|4176|doi:10.1021/acs.inorgchem.0c00360
DOI: 10.25505/fiz.icsd.cc24jd03
title: CSD 1981954: Experimental Crystal Structure Determination

description: Related Article: Cory J. Windorff, Alexander T. Chemey, Joseph M. Sperling, Bonnie E. Klamm, Thomas E. Albrecht-Schmitt|2020|Inorg.Chem.|59|4176|doi:10.1021/acs.inorgchem.0c00360
DOI: 10.25505/fiz.icsd.cc24jd14
title: CSD 1981955: Experimental Crystal Structure Determination

description: Related Article: Martin Ende, Terhi Kirkkala, Michael Loitzenbauer, Dominik Talla, Manfred Wildner, Ronald Miletich|2020|Inorg.Chem.|59|6255|doi:10.1021/acs.inorgchem.0c00370
DOI: 10.25505/fiz.icsd.cc24jd25
title: CSD 1981956: Experimental Crystal Structure Determination

description: Related Article: Martin Ende, Terhi Kirkkala, Michael Loitzenbauer, Dominik Talla, Manfred Wildner, Ronald Miletich|2020|Inorg.Chem.|59|6255|doi:10.1021/acs.inorgchem.0c00370
DOI: 10.25505/fiz.icsd.cc24jd36
title: CSD 1981957: Experimental Crystal Structure Determination

description: Related Article: Martin Ende, Terhi Kirkkala, Michael Loitzenbauer, Dominik Talla, Manfred Wildner, Ronald Miletich|2020|Inorg.Chem.|59|6255|doi:10.1021/acs.inorgchem.0c00370
DOI: 10.25505/fiz.icsd.cc24jdy1
title: CSD 1981983: Experimental Crystal Structure Determination

description: Related Article: Ming Wen, Cong Hu, Hongping Wu, Zhihua Yang, Xiaohong Wu, Shilie Pan|2020|Dalton Trans.|49|6744|doi:10.1039/D0DT01070G
DOI: 10.6084/m9.figshare.19108874
title: Randomic analyses KEGG

description: kegg information table
DOI: 10.6084/m9.figshare.19108874.v1
title: Randomic analyses KEGG

description: kegg information table
DOI: 10.15139/s3/lmnuud
title: Initial unemployment insurance claimants

description: This dataset includes unemployment insurance claimants filed with the North Carolina Department of Commerce. The raw data separately provides initial and continued unemployment insurance claimants, providing cross-tab summaries by geography, gender, race, ethnicity, age, and sector that vary in completeness. While this data provides a comprehensive summary of total unemployment insurance claimants, it contains missing information in the demographic breakdowns and in claimants without an assigned geography. Additionally, unemployment insurance claimants do not correspond directly with the rate of unemployed individuals, and backlogs in processing unemployment claims may distort the apparent timing of patterns in claimants. For more information, see the Government Accountability Office’s COVID-19 report, Appendix 23. The county-level data since March 2020 is available for public download and is updated approximately four weeks after the end of each month. In addition to county summaries, the raw dataset also includes geographic summaries for workforce development boards and the statewide total. Prior to March 2020, monthly unemployment insurance claims are published as weekly state-level summaries from the US Department of Labor with no disaggregation by race, gender, sector, age, or county.
DOI: 10.6073/pasta/6c6d2cc3314a3bff5c77f721c969b861
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 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-13 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/16ca35bdfa5c1f4849dc65918d749cb8
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 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-13 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: 10.21227/sx01-1p81
title: Sesitive Content Dataset

description: Massive amounts of video are uploaded on video-hosting platforms every minute. This volume of data presents a challenge in controlling the type of content uploaded to these video hosting services, for those platforms are responsible for any sensitive media uploaded by their users.There has been an abundance of research on methods for developing automatic detection of sensitive content. In this paper, we present a sensitive video dataset for binary video classification (whether there is sensitive content in the video or not), containing 127 thousand tagged videos, Each with their extracted audio and visual embeddings.  We define sensitive content as sex, violence, gore or any media that may cause distress on the viewer.
DOI: 10.6073/pasta/6938dc06cf4f06280b4eaf75eaeaf8fe
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-13. 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-13 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/7075b5254a09da449ee7a2c4d7e9e03c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 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-13. 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-13 site. This is an ONGOING dataset.
DOI: 10.15139/s3/e39amv
title: Building permits

description: The Census Bureau’s Building Permit Survey reports all new housing units authorized by building permits dating from January 2000. It does not include unpermitted construction, and also does not differentiate on the status or completion of permitted construction. BPS files are publicly available to download for a range of geographies as monthly or annual summaries. Each month’s data is released within approximately 4 weeks. The .txt file contains information about the number of buildings, units, and value of building permits for each geographic area (county) and time period (month).
DOI: 10.6073/pasta/51b0a836d1c2d780d3f7857f16029a7d
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 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-13 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: 10.25345/c5m87h
title: MassIVE MSV000088770 - GNPS Desmonostoc muscorum LEGE 12446
title: SPE fractions of increased polarity (n-hex, EtOAc, MeOH), from the cyanobacterium Desmonostoc muscorum LEGE 12446.
DOI: 10.6073/pasta/3db63be8b79ae6ecfabb65dcb62ddfe4
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 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: 10.5281/zenodo.5949346
title: Lineage and role in integrative taxonomy of a heterotrophic orchid complex

description: <strong>Accurate species delimitation is paramount to studies of biodiversity and ecology. Lineage concepts applying coalescent approaches to species delimitation have become increasingly popular, yet have been questioned recently in their ultimate value, and for conflating species boundaries with population structure. The ‘Phenophyletic Species Concept’ explicitly considers both lineages and ecological ‘role’ shifts and provides an opportunity to incorporate ecologically meaningful data from multiple sources in studies of species boundaries. Here, the Phenophyletic Concept was applied to a problematic group of mycoheterotrophic orchids, the <em>Corallorhiza striata</em> complex, by analyzing genomic, morphological, phenological, reproductive-mode, niche, and fungal host data. Our recently developed method for generating genomic polymorphism data–ISSRseq–demonstrates strong evidence for four distinct lineages. There is evident divergence in morphology, phenology, reproductive mode, and fungal associates among the lineages; however, none of the datasets aside from genomic data fully satisfy the condition of a significant ‘role’ shift, which requires evidence of fixed differences in the ‘extended phenotype.’ The four principal lineages identified in the current study are thus recognized at the level of variety, short of comprising different species. This study represents the most comprehensive application of the Phenophyletic Species Concept to date, and illustrates the advantages of such an approach. </strong>
DOI: 10.6084/m9.figshare.19111208
title: Inference and Computation for Sparsely Sampled Random Surfaces

description: Non-parametric inference for functional data over two-dimensional domains entails additional computational and statistical challenges, compared to the one-dimensional case. Separability of the covariance is commonly assumed to address these issues in the densely observed regime. Instead, we consider the sparse regime, where the latent surfaces are observed only at few irregular locations with additive measurement error, and propose an estimator of covariance based on local linear smoothers. Consequently, the assumption of separability reduces the intrinsically four-dimensional smoothing problem into several two-dimensional smoothers and allows the proposed estimator to retain the classical minimax-optimal convergence rate for two-dimensional smoothers. Even when separability fails to hold, imposing it can be still advantageous as a form of regularization. A simulation study reveals a favorable bias-variance trade-off and massive speed-ups achieved by our approach. Finally, the proposed methodology is used for qualitative analysis of implied volatility surfaces corresponding to call options, and for prediction of the latent surfaces based on information from the entire data set, allowing for uncertainty quantification. Our cross-validated out-of-sample quantitative results show that the proposed methodology outperforms the common approach of pre-smoothing every implied volatility surface separately. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.19111208.v1
title: Inference and Computation for Sparsely Sampled Random Surfaces

description: Non-parametric inference for functional data over two-dimensional domains entails additional computational and statistical challenges, compared to the one-dimensional case. Separability of the covariance is commonly assumed to address these issues in the densely observed regime. Instead, we consider the sparse regime, where the latent surfaces are observed only at few irregular locations with additive measurement error, and propose an estimator of covariance based on local linear smoothers. Consequently, the assumption of separability reduces the intrinsically four-dimensional smoothing problem into several two-dimensional smoothers and allows the proposed estimator to retain the classical minimax-optimal convergence rate for two-dimensional smoothers. Even when separability fails to hold, imposing it can be still advantageous as a form of regularization. A simulation study reveals a favorable bias-variance trade-off and massive speed-ups achieved by our approach. Finally, the proposed methodology is used for qualitative analysis of implied volatility surfaces corresponding to call options, and for prediction of the latent surfaces based on information from the entire data set, allowing for uncertainty quantification. Our cross-validated out-of-sample quantitative results show that the proposed methodology outperforms the common approach of pre-smoothing every implied volatility surface separately. Supplementary materials for this article are available online.
DOI: 10.25494/p6ps3v
title: MLPA North Coast Monitoring - Fort Bragg - Salmon - troll - Post MPA

description: This data set is a part of Point 97's project entitled: Establishing a Baseline and Assessing Initial Spatial and Economic Change in the California North Coast Commercial Fisheries. This project is a component of the California North Coast Marine Protected Area Baseline Monitoring Project that is designed to characterize the ecological and socioeconomic conditions and changes within the North Coast Region since MPA implementation. The North Coast study region extends from the north at Oregon/California border to the south at Alder Creek, just north of Point Arena. This data set consists of data collected in the summer of 2014 from fisheries mapping interviews conducted with commercial fishermen who had Salmon - troll landings in the port of Fort Bragg in 2013. During interviews fishermen were asked to map their fishing grounds for 2013 and determine the relative importance of each fishing ground by allocating 100 pennies across their fishing grounds for this fishery. The spatial data from these interviews were then combined through an aggregation process where the weighted fishing grounds each fisherman gave were further weighted by their ex-vessel revenue from the Salmon - troll fishery in 2013. This created spatial data sets for each port for this fishery. For regional or all port data sets, port level data was aggregated by weighting each port by the port’s total ex-vessel revenue in 2013 for the fishery based on California Department of Fish and Wildlife commercial landings data. This data set represents the spatial extent and relative value of Salmon - troll commercial fishing grounds for the port of Fort Bragg in the year 2013.
DOI: 10.25494/p6k30w
title: MLPA North Coast Monitoring - Fort Bragg - nearshore finfish-live hook-and-line - Post MPA

description: This data set is a part of Point 97's project entitled: Establishing a Baseline and Assessing Initial Spatial and Economic Change in the California North Coast Commercial Fisheries. This project is a component of the California North Coast Marine Protected Area Baseline Monitoring Project that is designed to characterize the ecological and socioeconomic conditions and changes within the North Coast Region since MPA implementation. The North Coast study region extends from the north at Oregon/California border to the south at Alder Creek, just north of Point Arena. This data set consists of data collected in the summer of 2014 from fisheries mapping interviews conducted with commercial fishermen who had nearshore finfish-live hook-and-long landings in the port of Fort Bragg in 2013. During interviews fishermen were asked to map their fishing grounds for 2013 and determine the relative importance of each fishing ground by allocating 100 pennies across their fishing grounds for this fishery. The spatial data from these interviews were then combined through an aggregation process where the weighted fishing grounds each fisherman gave were further weighted by their ex-vessel revenue from the nearshore finfish-live hook-and-long fishery in 2013. This created spatial data sets for each port for this fishery. For regional or all port data sets, port level data was aggregated by weighting each port by the port’s total ex-vessel revenue in 2013 for the fishery based on California Department of Fish and Wildlife commercial landings data. This data set represents the spatial extent and relative value of nearshore finfish-live hook-and-line commercial fishing grounds for the port of Fort Bragg in the year 2013.