cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27m759
title: CCDC 2074060: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc27m77c
title: CCDC 2074062: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc25r1qq
title: CCDC 2018153: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc25r0gf
title: CCDC 2018114: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc25r1rr
title: CCDC 2018154: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc27m79f
title: CCDC 2074064: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc25r1ss
title: CCDC 2018155: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc27m748
title: CCDC 2074059: Experimental Crystal Structure Determination

description: Related Article: Kenta Kato, Tomohiro Seki, Hajime Ito|2021|Inorg.Chem.|60|10849|doi:10.1021/acs.inorgchem.1c00881
DOI: 10.5517/ccdc.csd.cc27vbfw
title: CCDC 2080888: Experimental Crystal Structure Determination

description: Related Article: Han Sun, Xiaoxin Xie, Qiu Huang, Zhaoxu Wang, Kejun Chen, Xiaolei Li, Jian Gao, Yutao Li, Hong Li, Jieshan Qiu, Weidong Zhou|2021|Angew.Chem.,Int.Ed.|60|18335|doi:10.1002/anie.202107667
DOI: 10.5517/ccdc.csd.cc28529v
title: CCDC 2090246: Experimental Crystal Structure Determination

description: Related Article: Han Sun, Xiaoxin Xie, Qiu Huang, Zhaoxu Wang, Kejun Chen, Xiaolei Li, Jian Gao, Yutao Li, Hong Li, Jieshan Qiu, Weidong Zhou|2021|Angew.Chem.,Int.Ed.|60|18335|doi:10.1002/anie.202107667
DOI: 10.5517/ccdc.csd.cc2852dy
title: CCDC 2090249: Experimental Crystal Structure Determination

description: Related Article: Han Sun, Xiaoxin Xie, Qiu Huang, Zhaoxu Wang, Kejun Chen, Xiaolei Li, Jian Gao, Yutao Li, Hong Li, Jieshan Qiu, Weidong Zhou|2021|Angew.Chem.,Int.Ed.|60|18335|doi:10.1002/anie.202107667
DOI: 10.34943/8c099b57-30df-43b4-ab0f-6e0b20b5a7e4
title: Victoria Peak Accelerometer Deployed 2018-09-26

description: The Nanometrics Titan SMA (S/N 000839) was deployed on 2018-09-26 at Victoria Peak. Victoria Peak is a mountain located in the Sutton Range of the Vancouver Island Ranges. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6073/pasta/42ab9d0d01abffbbc54b637b574ba4dd
title: A search index for the ecocomDP R package

description: This data package contains summary information of datasets in the ecocomDP format published by EDI and NEON. This summary information is formatted in a search index used by the search function of the ecocomDP R package.
DOI: 10.6073/pasta/220065f11546570b15af3255cec0dcc8
title: Field cover at the Edwin S. George Reserve, Southeastern Michigan in 1957

description: Raunkiaer's well known system of plant life-form classification shows relationships between relative importance of certain life-form classes and major world climatic zones. Recent investigations have shown that there are also differences in life-form distribution related to climatic variations within the larger "phytoclimates." Several reviews (Adamson 1939; Cain 1950; Cain & Castro 1959) have summarized our understanding of these life-form concepts. Relationships between life-forms and microclimate, however, have not been intensively investigated. Cain (1950) suggests that "Although life-form spectra have been employed mostly for general climatic analysis, there are enough studies available to suggest that they may be even more useful for the analysis of climatic variants and microclimates." The limited data available in the literature provide enough evidence that life-form distribution varies with differences in topography and microclimate to warrant further investigation of the subject. The possible indicator significance of variations in community life-form composition also have received little attention. Whittaker (1954) points out that "composition of vegetation in terms of life-forms and growth-forms may indicate position along local gradients." Furthermore, the fact that a plant's life-form represents, in theory, a fundamental adaptation to environment makes community life-form composition of greater potential value than community species composition for use as an indicator of site (microenvironmental) conditions. This study was an intensive investigation of the vegetation and microclimates of north- and south- facing (henceforth referred to as north and south) slopes on the E. S. George Reserve in southeastern Michigan. The data obtained were used to demonstrate relationships between Raunkiaerian life-forms and microclimate and to illustrate the value of community life-form data as indicators of habitat conditions. The metadata for this dataset are taken from Cooper et. al 1961 ("Relationships Between Plant Life-Forms and Microclimate", https://doi.org/10.2307/1950745). This dataset includes the life-form data but not microclimate data.
DOI: 10.25345/c54r70
title: MassIVE MSV000087951 - DOM_Interlab-LCMS_Lab1_Dorrestein
title: Dissolved organic matter (DOM) samples were run as part of an inter-lab comparison.
DOI: 10.5281/zenodo.3878948
title: Measured and modelled significant wave height time series at the Bothnian Sea Wave buoy in the Baltic Sea

description: Significant wave height data at the location of FMI's wave buoy in the Bothnian Sea, Baltic Sea (61 degrees 8' N, 20 degrees 14' E). Contains 2011-2019 wave buoy observations, 1965-2005 SWAN modelled data (Björkqvist et al. 2018), and 1979-2013 WAM modelled data (Tuomi et al. 2019).
DOI: 10.5281/zenodo.3878947
title: Measured and modelled significant wave height time series at the Bothnian Sea Wave buoy in the Baltic Sea

description: Significant wave height data at the location of FMI's wave buoy in the Bothnian Sea, Baltic Sea (61 degrees 8' N, 20 degrees 14' E). Contains 2011-2019 wave buoy observations, 1965-2005 SWAN modelled data (Björkqvist et al. 2018), and 1979-2013 WAM modelled data (Tuomi et al. 2019).
DOI: 10.5281/zenodo.3482304
title: Wave and wind data from the Helsinki archipelago and Gulf of Finland

description: Data source: Finnish Meteorological Institute This is wave and meteorological data collected in the Helsinki archipelago and GoF durin 2012-2018. Each file contains data and metadata for one location. The Gulf of Finland (GoF) site has a separate file for all integrated data (WaveData_GoF_integrated.nc), while separate files (WaveData_GoF_spectra_2016a.nc etc) exist for the spectra. This is because both a DWR Mk-III and DWR4/ACM wave buoy was used, and they have different sampling frequencies. Coinciding wind data is embedded in each file. The data are described in the publication "The wave spectrum in archipelagos", Ocean Science, 2019, DOI: 10.5194/os-15-1469-2019
DOI: 10.5281/zenodo.3482303
title: Wave and wind data from the Helsinki archipelago and Gulf of Finland

description: Data source: Finnish Meteorological Institute This is wave and meteorological data collected in the Helsinki archipelago and GoF durin 2012-2018. Each file contains data and metadata for one location. The Gulf of Finland (GoF) site has a separate file for all integrated data (WaveData_GoF_integrated.nc), while separate files (WaveData_GoF_spectra_2016a.nc etc) exist for the spectra. This is because both a DWR Mk-III and DWR4/ACM wave buoy was used, and they have different sampling frequencies. Coinciding wind data is embedded in each file. The data are described in the publication "The wave spectrum in archipelagos", Ocean Science, 2019, DOI: 10.5194/os-15-1469-2019
DOI: 10.15787/vtt1/zsjk4z
title: Data Fusion for Nonmotorized Safety Analysis (03-049)

description: Project Description: This project explored an emerging research territory, fusion of nonmotorized traffic data for estimating reliable and robust exposure measures. The researchers developed fusion mechanisms to combine five bike demand data sources in Austin and demonstrated the applicability of the fused estimate in two crash analyses. The data used in this study were gathered from five primary data sources: (a) actual bicycle volume counts, (b) bicycle-sharing data, (c) NHTS add-on data, (d) Strava data, and (e) StreetLight data. In addition, the sociodemographic and land-use data for building models were obtained from the American Community Survey, Austin Transportation Department, and other public data domains. Data Scope: Please see document below for additional information (filename: 03-049_Metadata ). Data Specification: Some of the datasets used in this project were obtained through public domains, and thus are available for sharing. Some other datasets were requested from corresponding data providers or government agencies and obtained under specific data use agreements, and thus are not available directly from the authors. Please see document below for additional information (filename: 03-049_Metadata ).
DOI: 10.25919/mrn6-7d13
title: Parkes observations for project PX600 semester 2020APRS_48

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.25345/c5126s
title: MassIVE MSV000087952 - A mass spectrometry-based proteome map of drug action in lung cancer cell lines Part 4
title: Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to &gt; 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
DOI: 10.6073/pasta/c85974f3c0d11fb8cdb1ac2890698906
title: Kelp canopy chlorophyll to carbon ratio derived from aerial hyperspectral imagery

description: This dataset represents a time series of giant kelp canopy chlorophyll to carbon ratio (Chl:C) derived from aerial hyperspectral imagery, along with associated environmental, canopy age determinations, and validation datasets. Additional data from a frond cohort experiment are also presented, representing empirical observations of the decline in chlorophyll pigment concentration with blade age. This dataset contains eight geotiff rasters showing canopy Chl:C at a 30-meter pixel resolution for giant kelp forests in the Santa Barbara Channel during the months of April, June, and August from 2013 – 2015.
DOI: 10.5281/zenodo.5168075
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.5168070
title: Genetic variation of Batrachochytrium dendrobatidis is linked to skin bacterial diversity in the pacific treefrog Hyliola regilla (hypochondriaca)

description: Data
DOI: 10.5281/zenodo.5168069
title: Genetic variation of Batrachochytrium dendrobatidis is linked to skin bacterial diversity in the pacific treefrog Hyliola regilla (hypochondriaca)

description: Data
DOI: 10.6084/m9.figshare.15127926.v1
title: 疫情期间社区居民健康行为研究

description: This is the survey data on the health behavior of community residents during the epidemic.
DOI: 10.6084/m9.figshare.15127926
title: 疫情期间社区居民健康行为研究

description: This is the survey data on the health behavior of community residents during the epidemic.
DOI: 10.6084/m9.figshare.15127938
title: 居民对健康监控行为的态度调查

description: This is the survey data about residents' attitude towards health monitoring behavior.
DOI: 10.25345/c5w823
title: MassIVE MSV000087953 - A mass spectrometry-based proteome map of drug action in lung cancer cell lines Part 3
title: Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to &gt; 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
DOI: 10.5281/zenodo.5168092
title: Global PM2.5 Dataset: Hybrid Calibration of CAMS and MERRA-2 PM2.5 Reanalysis Products during 2017-2019

description: By integrating two reanalysis PM<sub>2.5</sub> products (CAMSRA, MERRA-2), a <strong>global daily hybrid-calibrated PM<sub>2.5</sub> concentration dataset</strong> is generated through the proposed CM-HC scheme with ERT model. This products include <strong>1095</strong> global PM<sub>2.5</sub> GeoTIFF files, starting from Jan 01, 2017 to Dec 31, 2019 (about <strong>0.95GB</strong> memory after uncompressing this zip file). To prove the superiority of this product, some experiments are implemented as follows: comparing with 1) two original products; 2) results of two separate calibration schemes with ERT; 3) results of CM-HC with other three ML models (RF, GBDT, XGBoost). Above analyses include two aspects, that is, the accuracy results and mapping effects. More details can be viewed at the thesis. One <strong>GeoTIFF</strong> file includes one-day calibrated PM<sub>2.5</sub> data. It is worth noting that the files contain the data of ocean area, however, our thesis only shows the results of land area in order to visually display the mapping effect before and after calibrating. Also, there is no site on the sea to validate in our study.
DOI: 10.5281/zenodo.5168091
title: Global PM2.5 Dataset: Hybrid Calibration of CAMS and MERRA-2 PM2.5 Reanalysis Products during 2017-2019

description: By integrating two reanalysis PM<sub>2.5</sub> products (CAMSRA, MERRA-2), a <strong>global daily hybrid-calibrated PM<sub>2.5</sub> concentration dataset</strong> is generated through the proposed CM-HC scheme with ERT model. This products include <strong>1095</strong> global PM<sub>2.5</sub> GeoTIFF files, starting from Jan 01, 2017 to Dec 31, 2019 (about <strong>0.95GB</strong> memory after uncompressing this zip file). To prove the superiority of this product, some experiments are implemented as follows: comparing with 1) two original products; 2) results of two separate calibration schemes with ERT; 3) results of CM-HC with other three ML models (RF, GBDT, XGBoost). Above analyses include two aspects, that is, the accuracy results and mapping effects. More details can be viewed at the thesis. One <strong>GeoTIFF</strong> file includes one-day calibrated PM<sub>2.5</sub> data. It is worth noting that the files contain the data of ocean area, however, our thesis only shows the results of land area in order to visually display the mapping effect before and after calibrating. Also, there is no site on the sea to validate in our study.
DOI: 10.5281/zenodo.5168102
title: Global PM2.5 Dataset: Hybrid Calibration of CAMS and MERRA-2 PM2.5 Reanalysis Products during 2017-2019

description: By integrating two reanalysis PM<sub>2.5</sub> products (CAMSRA, MERRA-2), a <strong>global daily hybrid-calibrated PM<sub>2.5</sub> concentration dataset</strong> is generated through the proposed CM-HC scheme with ERT model. This products include <strong>1095</strong> global PM<sub>2.5</sub> GeoTIFF files, starting from Jan 01, 2017 to Dec 31, 2019 (about <strong>0.95GB</strong> memory after uncompressing this zip file). To prove the superiority of this product, some experiments are implemented as follows: comparing with 1) two original products; 2) results of two separate calibration schemes with ERT; 3) results of CM-HC with other three ML models (RF, GBDT, XGBoost). Above analyses include two aspects, that is, the accuracy results and mapping effects. More details can be viewed at the thesis. One <strong>GeoTIFF</strong> file includes one-day calibrated PM<sub>2.5</sub> data. It is worth noting that the files contain the data of ocean area, however, our thesis only shows the results of land area in order to visually display the mapping effect before and after calibrating. Also, there is no site on the sea to validate in our study.
DOI: 10.5281/zenodo.5168101
title: Global PM2.5 Dataset: Hybrid Calibration of CAMS and MERRA-2 PM2.5 Reanalysis Products during 2017-2019

description: By integrating two reanalysis PM<sub>2.5</sub> products (CAMSRA, MERRA-2), a <strong>global daily hybrid-calibrated PM<sub>2.5</sub> concentration dataset</strong> is generated through the proposed CM-HC scheme with ERT model. This products include <strong>1095</strong> global PM<sub>2.5</sub> GeoTIFF files, starting from Jan 01, 2017 to Dec 31, 2019 (about <strong>0.95GB</strong> memory after uncompressing this zip file). To prove the superiority of this product, some experiments are implemented as follows: comparing with 1) two original products; 2) results of two separate calibration schemes with ERT; 3) results of CM-HC with other three ML models (RF, GBDT, XGBoost). Above analyses include two aspects, that is, the accuracy results and mapping effects. More details can be viewed at the thesis. One <strong>GeoTIFF</strong> file includes one-day calibrated PM<sub>2.5</sub> data. It is worth noting that the files contain the data of ocean area, however, our thesis only shows the results of land area in order to visually display the mapping effect before and after calibrating. Also, there is no site on the sea to validate in our study.
DOI: 10.5281/zenodo.5168081
title: All data for ChIP-pro database

description: All data for ChIP-pro database (chip-pro.org) as of 08/06/2021. The GitHub repository here is also publicly available and contains the most up-to-date data.
DOI: 10.6084/m9.figshare.12204962.v2
title: Holocene dust storm data from Lake Gonghai, northern China.

description: Here we present a high-resolution Holocene dust storm record from Lake Gonghai on the Chinese Loess Plateau. Dust storm activity was infrequent during ~11-3 ka, but it increased abruptly and exhibited large amplitude fluctuations during the late Holocene (~3-0 ka).
DOI: 10.6084/m9.figshare.12204962
title: Holocene dust storm data from Lake Gonghai, northern China.

description: Asian dust storms have long been a major environmental concern in China, affecting the lives of about one billion people. However, it is unclear whether the mechanisms responsible for Asian dust storms during the Holocene varied on different timescales, and thus it is unclear whether there was a shift from a natural forcing to an anthropogenic forcing of dust storms. We reconstructed a high-resolution Holocene record of dust storms from the sediments of an undisturbed alpine lake on the Chinese Loess Plateau. We found that Asian dust storm activity generally increased during the Holocene, with the largest fluctuations occurring during the past 2000 years. The increase in dust storm activity was in contrast to the decrease in East Asian winter monsoon (EAWM) intensity during the Holocene, indicating that the EAWM played a limited role in modulating dust storms. By contrast, the increase in dust storms corresponded to a decrease in East Asian summer monsoon (EASM) precipitation. This demonstrates that EASM precipitation was the dominant control of dust storm activity on a millennial timescale, because decreased EASM precipitation expanded the desert area and thus increased the dust storm activity. The increasing intensity of human activity in the region since the Bronze Age resulted in an acceleration of dust storm activity against the background of decreased EASM precipitation. As human disturbance continued to intensify, beginning at least at ~2 cal ka BP, increased dust storms were closely linked to increasing human populations in the dust source regions, and there is a strong temporal coherence between increased dust storms and higher EASM precipitation. This was completely different from when natural processes dominated, when fewer dust storms occurred during periods of a strengthened EASM. Therefore, there was a shift from a natural forcing to an anthropogenic forcing of dust storms on a multi-decadal to centennial timescale, and was a mode in which “human activity overtook the EASM as the dominant control of the Earth surface system”.