cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8242928
title: TCSIF: A temporally consistent global GOME-2A SIF dataset with correction of sensor degradation

description: TCSIF: A temporally consistent global GOME-2A SIF dataset with correction of sensor degradation

 

Description:

The global monthly GOME-2A SIF dataset (2007–2021) with correction of temporal degradation. The corrected global GOME-2 SIF dataset can be obtained in two types. The daily level2 dataset is provided in hdf5 format(compressed in the zip files named "{Year}{Quater}.zip"). The name of the hdf5 files was SIF_daily_YYYYMMDD.h5, YYYY, MM, and DD represent the year, month, and date, respectively. The level3 datasets which were aggregated monthly from the level2 dataset, have a spatial resolution of 0.5°and were saved in TIFF format in chronological order from 2007 to 2021 (compressed in the file "Level3.zip"). The name of the files was SIFpar_evi_monthly _YYYYMM.tif, where SIF was product type, par, and evi represented upscaled parameters, monthly represented temporal scale, YYYY and MM was the year and month, respectively. The SIF output was stored in the hdf5 files along with other variables of interest for further processing and visualization. See the appendix for the structure of the hdf5 file.

 

cloud_fraction[float]:

Description: Effective cloud fraction derived from GOME-2 Level1B product.

Units: none

latitude[float]:

Description: Pixel center latitude.

Units: degrees N

longitude[float]:

Description: Pixel center longitude.

Units: degrees E

latitude_bounds[float]:

Description: Latitude of the boundary corners for each pixel.

Units: degrees N

longitude _bounds[float]:

Description: Longitude of the boundary corners.

Units: degrees E

SIF_740[float]:

Description: SIF signal at 740nm retrieved using the 735–758 nm fitting window.

Units: mW m-2 nm-1 sr-1

SIF_daily [float]:

Description: SIF signal at 740nm with correction of day-length.

Units: mW m-2 nm-1 sr-1

Sigma_i[float]:

Description:  The squre of single retrieval error of SIF_740.

Units: (mW m-2 nm-1 sr-1)2

Solar_zenith_angle [float]:

Description:  Solar zenith angle.

Units: degrees

Solar_azimuth_angle [float]:

Description: Solar azimuth angle.

Units: degrees

Viewing _zenith_angle [float]:

Description: Viewing zenith angle.

Units: degrees

Viewing_azimuth_angle[float]:

Description: Viewing azimuth angle.

Units: degrees

chi2[float]:

Description: The reduced chi-square value calculated based on the the fitting residuals.

Units: None

Rad_NIR[float]:

Description: The average radiance within the 735~758 nm window

Units: mW m-2 nm-1 sr-1

ps_NIR[float]:

Description: The average reflectance within at around 780 nm.

Units: None

ps_red[float]:

Description: The average reflectance within the 665~680 nm window

Units: None

NDVI[float]:

Description: Calculated by the TOA reflectance at red band (around 680 nm) and near-infrared band (around 780nm).

Units: None
DOI: 10.25318/1210016501-fra
title: Diffusions historiques (temps réel) des importations et exportations de marchandises, base douanière et balance des paiements pour tous les pays, par désaisonnalisation et le Système de classification des produits de l'Amérique du Nord (SCPAN)

description: Diffusions historiques (temps réel) des importations et exportations de marchandises avec des données pour les années 1988 - actuelle.
DOI: 10.3886/icpsr38933.v1
title: Survey of Consumer Attitudes and Behavior, June 2020
title: Version 1

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter.
The surveys conducted in 2020 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables.
Also explored in this survey, were respondents' feeling about life, mortgage refinancing, political affiliation, stimulus rebate, and the Corona virus. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, this collection contains three weight variables; <b>WT</b> (Household weight (WT_HH renamed)), <b>WT_HH</b> (Household weight), and <b>WT_AD</b> (Adult weight) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Survey of Consumers Website.
description: National sample of telephone numbers from cell (RDD) sampling frame.
description: Datasets: 
DS0: Study-Level Files
DS1: Public-Use Data
DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones in the coterminous United States. Smallest Geographic Unit: FIPS code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Survey of Consumers Website.
DOI: 10.3886/icpsr38933
title: Survey of Consumer Attitudes and Behavior, June 2020
title: Archival Version

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter.
The surveys conducted in 2020 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables.
Also explored in this survey, were respondents' feeling about life, mortgage refinancing, political affiliation, stimulus rebate, and the Corona virus. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, this collection contains three weight variables; <b>WT</b> (Household weight (WT_HH renamed)), <b>WT_HH</b> (Household weight), and <b>WT_AD</b> (Adult weight) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Survey of Consumers Website.
description: National sample of telephone numbers from cell (RDD) sampling frame.
description: Datasets: 
DS0: Study-Level Files
DS1: Public-Use Data
DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones in the coterminous United States. Smallest Geographic Unit: FIPS code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Survey of Consumers Website.
DOI: 10.6084/m9.figshare.24926184
title: Supplementary Table 5-6

description: Supplementary Table 5: List of pathways from GO analyses in MALES. Significant pathways UP"over represented value" in red. Pathways DOWN "under reperesented value" in blue. In green pathways filtered for “lipid, fatty acid and sterol”Supplementary Table 6: List of pathways from GO analyses in FEMALES. Significant pathways UP"over-represented value" in red. Pathways DOWN "under-represented value" in blue. In orange pathways filtered for “lipid, fatty acid and sterol”.<br>
DOI: 10.6084/m9.figshare.24926184.v1
title: Supplementary Table 5-6

description: Supplementary Table 5: List of pathways from GO analyses in MALES. Significant pathways UP"over represented value" in red. Pathways DOWN "under reperesented value" in blue. In green pathways filtered for “lipid, fatty acid and sterol”Supplementary Table 6: List of pathways from GO analyses in FEMALES. Significant pathways UP"over-represented value" in red. Pathways DOWN "under-represented value" in blue. In orange pathways filtered for “lipid, fatty acid and sterol”.<br>
DOI: 10.6084/m9.figshare.24926184.v2
title: Supplementary Table 5-6

description: Supplementary Table 5: List of pathways from GO analyses in MALES. Significant pathways UP"over represented value" in red. Pathways DOWN "under reperesented value" in blue. In green pathways filtered for “lipid, fatty acid and sterol”Supplementary Table 6: List of pathways from GO analyses in FEMALES. Significant pathways UP"over-represented value" in red. Pathways DOWN "under-represented value" in blue. In orange pathways filtered for “lipid, fatty acid and sterol”.<br>
DOI: 10.6084/m9.figshare.24926247
title: Supplemental Table 7

description: Supplementary Table 7: Selected enriched GO terms for AhepGHRkd (kd) versus Null, males and females filtered by "lipid, fatty acid, or sterol" In bold violet case are the 22 terms enriched in both sexes
DOI: 10.6084/m9.figshare.24926247.v1
title: Supplemental Table 7

description: Supplementary Table 7: Selected enriched GO terms for AhepGHRkd (kd) versus Null, males and females filtered by "lipid, fatty acid, or sterol" In bold violet case are the 22 terms enriched in both sexes
DOI: 10.5281/zenodo.10450581
title: Geochemical analyses on the magmatic component and mantle xenoliths from a diatreme at Bokhara River, eastern Australia

description: This dataset contains geochemical results on the magmatic component and mantle xenoliths in a diatreme at Bokhara River in eastern Australia. The magmatic componet is bulk-rock analysis and Ar-Ar dating on the groundmass. The mantle xenoliths have both bulk-rock and mineral analyses.
DOI: 10.25318/1210016601-eng
title: International merchandise trade by commodity, chained 2017 dollars, monthly

description: International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are in constant dollar terms, calculated using a chained Fisher formula with 2017 as the base year, seasonally adjusted, on a Balance of Payments basis, at a monthly frequency.
DOI: 10.6084/m9.figshare.24926292
title: 20240103_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24926292.v1
title: 20240103_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.10451454
title: County Housing Price

description: County-level housing price is collected from open source data such as lianjia.com, anjuke.com, creprice.cn. We carefully compare the value and completed 2842 counties, supporting the CHNSE model. Specifically, we calculate the average housing price in each county during 2019-2022. Empty value are estimated from near by housing price. This may need further procession.
DOI: 10.25318/1210016601-fra
title: Commerce international de marchandises par classification des produits, dollars enchaînés 2017, mensuel

description: Les données du commerce international de marchandises, regroupées par le Système de classification des produits de l'Amérique du Nord (SCPAN). L'usager a la capacité de choisir les importations et les exportations. Les données sont en dollars constants, calculées selon la formule de Fisher, avec 2017 comme année de base, désaisonnalisées et sur la base de la balance des paiements, à une fréquence mensuelle.
DOI: 10.34740/kaggle/dsv/7324513
title: MoviesDatasets
DOI: 10.34863/wgf1-pw79
title: Dataset: In operando cryo-STEM of pulse-induced charge density wave switching in TaS2
DOI: 10.5281/zenodo.10451453
title: County Housing Price

description: County-level housing price is collected from open source data such as lianjia.com, anjuke.com, creprice.cn. We carefully compare the value and completed 2842 counties, supporting the CHNSE model. Specifically, we calculate the average housing price in each county during 2019-2022. Empty value are estimated from near by housing price. This may need further procession.
DOI: 10.5281/zenodo.10149913
title: Segmentation masks mini-MIAS

description: This dataset provides manually created segmentation masks of the images in the mini-MIAS dataset by J Suckling et al[1] (available at http://peipa.essex.ac.uk/info/mias.html). The masks are saved as nrrd files with pixel-wise ground truth for background (0), breast (1), and pectoral muscle (2) (when present). This dataset is created for the development of a mammogram segmentation model[2].

Segmentation masks were created in three steps, first initialization of the breast boundary by Otsu thresholding[3], second a pectoral muscle initialization with Otsu thresholding, and lastly a manual adjustment of the mask. The pectoral muscle initialization was done by re-applying the Otsu thresholding method after excluding the background. Finally, each segmentation mask was checked visually and adjusted manually using ITK-SNAP 3.6.013[4] by one of four medical imaging scientists with experience in mammography. 

[1] J Suckling et al, "The Mammographic Image Analysis Society Digital Mammogram Database" Exerpta Medica. International Congress Series 1069, 375-378 (1994)[2] S.D. Verboom et al., "Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors", Journal of Medical Imaging, 11(1), 014001 (2023)[2] N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Trans. Syst. Man. Cybern. 9(1), 62–66 (1979)[3] P. A. Yushkevich et al., "User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability," Neuroimage 31(3), 1116–1128 (2006)
DOI: 10.5281/zenodo.10149914
title: Segmentation masks mini-MIAS

description: This dataset provides manually created segmentation masks of the images in the mini-MIAS dataset by J Suckling et al[1] (available at http://peipa.essex.ac.uk/info/mias.html). The masks are saved as nrrd files with pixel-wise ground truth for background (0), breast (1), and pectoral muscle (2) (when present). This dataset is created for the development of a mammogram segmentation model[2].

Segmentation masks were created in three steps, first initialization of the breast boundary by Otsu thresholding[3], second a pectoral muscle initialization with Otsu thresholding, and lastly a manual adjustment of the mask. The pectoral muscle initialization was done by re-applying the Otsu thresholding method after excluding the background. Finally, each segmentation mask was checked visually and adjusted manually using ITK-SNAP 3.6.013[4] by one of four medical imaging scientists with experience in mammography. 

[1] J Suckling et al, "The Mammographic Image Analysis Society Digital Mammogram Database" Exerpta Medica. International Congress Series 1069, 375-378 (1994)[2] S.D. Verboom et al., "Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors", Journal of Medical Imaging, 11(1), 014001 (2023)[2] N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Trans. Syst. Man. Cybern. 9(1), 62–66 (1979)[3] P. A. Yushkevich et al., "User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability," Neuroimage 31(3), 1116–1128 (2006)
DOI: 10.5517/ccdc.csd.cc25rwhb
title: CCDC 2018952: Experimental Crystal Structure Determination

description: Related Article: Yuan-Yu Yang, Jian-Hua Xue, Dong-Dong Yang, Li-Yang Zhang, Qi Ma, Xuan Zhao|2024|CrystEngComm|26|170|doi:10.1039/D3CE01076G
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.cc26ysdc
title: CCDC 2054413: Experimental Crystal Structure Determination

description: Related Article: Wenjing Yang, Xiaomiao Li, Sheng-Yong Li, Qingshuang Li, Hongjian Sun, Xiaoyan Li|2023|Inorg.Chem.|62|21014|doi:10.1021/acs.inorgchem.3c02445
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.cc27zdbz
title: CCDC 2084791: Experimental Crystal Structure Determination

description: Related Article: Lingfeng Zhang, Yu Wang, Yefeng Wang, Shuai Liu, Na Zhang, Mingmin Yang, Haixia Ma, Zhaoqi Guo|2023|CrystEngComm|26|143|doi:10.1039/D3CE01051A
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.cc27zdqc
title: CCDC 2084803: Experimental Crystal Structure Determination

description: Related Article: Lingfeng Zhang, Yu Wang, Yefeng Wang, Shuai Liu, Na Zhang, Mingmin Yang, Haixia Ma, Zhaoqi Guo|2023|CrystEngComm|26|143|doi:10.1039/D3CE01051A
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.cc27zdtg
title: CCDC 2084806: Experimental Crystal Structure Determination

description: Related Article: Lingfeng Zhang, Yu Wang, Yefeng Wang, Shuai Liu, Na Zhang, Mingmin Yang, Haixia Ma, Zhaoqi Guo|2023|CrystEngComm|26|143|doi:10.1039/D3CE01051A
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.cc299bdc
title: CCDC 2124132: Experimental Crystal Structure Determination

description: Related Article: Jianyou Zhao, Jiatai Zhang, Pengkai Fang, Jintao Wu, Fan Wang, Zhong-Quan Liu|2024|Green Chemistry|26|507|doi:10.1039/D3GC03849A
description: Related Article: Sun Zhihui|2023|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.cc2b75yq
title: CCDC 2151863: Experimental Crystal Structure Determination

description: Related Article: Wenjing Yang, Xiaomiao Li, Sheng-Yong Li, Qingshuang Li, Hongjian Sun, Xiaoyan Li|2023|Inorg.Chem.|62|21014|doi:10.1021/acs.inorgchem.3c02445
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.cc2f5650
title: CCDC 2239321: Experimental Crystal Structure Determination

description: Related Article: chen yu|2023|CSD Communication|||
description: Related Article: Zhi Yang, Yu Chen, Linxi Wan, Yuxiao Li, Dan Chen, Jianlin Tao, Pei Tang, Fen-Er Chen|2024|Green Chemistry|26|317|doi:10.1039/D3GC04364A
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: 10.25318/1210016701-eng
title: International merchandise trade by commodity, chained 2017 dollars, quarterly

description: International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are in constant dollar terms, calculated using a chained Fisher formula with 2017 as the base year, seasonally adjusted, on a Balance of Payments basis, at a quarterly frequency.
DOI: 10.17909/782k-1713
title: Data for UVCANDELS (Xin et al. 2024)

description: F275W and F435W data for UVCANDELS project
DOI: 10.6084/m9.figshare.24926331
title: Dateset for“<b>Unveiling the Synergistic Potential of Conservation Agriculture for Sustainable Agriculture</b>”

description: Dateset for“<b>Unveiling the Synergistic Potential of Conservation Agriculture for Sustainable Agriculture</b>”
DOI: 10.6084/m9.figshare.24926331.v1
title: Dateset for“<b>Unveiling the Synergistic Potential of Conservation Agriculture for Sustainable Agriculture</b>”

description: Dateset for“<b>Unveiling the Synergistic Potential of Conservation Agriculture for Sustainable Agriculture</b>”
DOI: 10.5281/zenodo.10072905
title: Coupling the COST reference plasma jet to a microfluidic device: a computational study - Figure Data
DOI: 10.5281/zenodo.10072906
title: Coupling the COST reference plasma jet to a microfluidic device: a computational study - Figure Data