cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e152081v1-132441
title: 2008 Abortion Patient Survey

description: The 2008 Abortion Patient Survey is the Guttmacher Institute’s fourth in a series and uses a design and questionnaire similar to the four earlier studies, which were conducted in 1987, 1994–1995, 2000–2001. The data are from women obtaining abortions at a nationally representative sample of health facilities in 2008. A total of 9,493 abortion patients at 95 facilities provided information about demographic characteristics, contraceptive use in the month they became pregnant, health insurance coverage, how they were paying for abortion services, foreign-born status, happiness about the current pregnancy, knowledge about the pregnancy, abortion-related stigma, and other topics. <br>
description: We employed a three-stage weighting process to correct for any bias produced by deviation from the original sampling plan and patient nonresponse. First, individual weights were developed to adjust for the demographic characteristics of the 1,162 nonrespondents for whom facility staff provided information. Second, facility-level weights adjusted for the other 2,210 nonrespondents for whom no demographic data were available. Third, stratum weights were constructed to correct for departures from the number of facilities to be sampled in each grouping by caseload and provider type. The main weight variable is weight3. To obtain accurate standard errors, most analyses should also account for the fact that the sample was stratified by using the stratum variable, strata.
description: Response Rates: During fielding periods, participating facilities reported providing a total of 12,866 abortions. Usable questionnaires were obtained from 9,493 patients, for a response rate of 74%.
description: Participating facilities were sampled from the universe of all known abortion-providing facilities as of 2005, according to information obtained from the Guttmacher Institute’s 2006 Abortion Provider Census. The universe was stratified by provider type (hospital or non-hospital) and 2005 caseload rounded to the nearest 10 (30–390 abortions, 400–1,990, 2,000–4,990, and 5,000 or more), and then organized by census region and state within each stratum. Next, we systematically sampled facilities from each stratum by selecting them at specified intervals within the list; the interval varied by stratum. Facilities with the largest caseloads were oversampled to ensure a diverse representation of facility types within the sample. Selected facilities were then recruited and assigned to a survey period that was inversely proportional to the probability of being selected, ranging from two weeks for the largest facilities to 12 weeks for the smallest. During this period, facility contacts were asked to administer the questionnaire to all patients obtaining an abortion on the day of their procedure.
description: Women who obtained an abortion in the United States. Smallest Geographic Unit: State
description: on-site questionnaire;
DOI: 10.5281/zenodo.7037674
title: UpCy: Safely Updating Outdated Dependencies

description: The dataset contains the Neo4j database of Maven Central, the database of API incompatibilities, and the experimental results for "UpCy: Safely Updating Outdated Dependencies". The contents are the following: experimental-results_dataset.zip: The experimental results and analysis scripts to compute the metrics mentioned in Section V incompabilities_mongodb.tar.gz: MongoDB containing the API incompatibilities between analyzed libraries maven-central_neo4j.tar.gz: Neo4j database of the Maven Central Repository mentioned in Section IV docker-compose.yml: docker-compose files for mounting the volumes and running the databases Usage: Download the archive from zenodo Decompress the archive run `docker compose up`
DOI: 10.5281/zenodo.7630247
title: heteromormyrus_pauciradiatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7630246
title: heteromormyrus_pauciradiatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7630239
title: Demonstration data for the python package applefy.

description: Demonstration data for the python package applefy. 30_data: Contains the NACO L' dataset of Beta Pic (planet removed) as used in the user documentation 70_results: Contains the results of the user documentation tutorials laplace_lookup_tables.csv: Contains the lookup table for the LaplaceBootstrapTest
DOI: 10.5281/zenodo.7630238
title: Demonstration data for the python package applefy.

description: Demonstration data for the python package applefy. 30_data: Contains the NACO L' dataset of Beta Pic (planet removed) as used in the user documentation 70_results: Contains the results of the user documentation tutorials laplace_lookup_tables.csv: Contains the lookup table for the LaplaceBootstrapTest
DOI: 10.5517/ccdc.csd.cc268jyz
title: CCDC 2034001: Experimental Crystal Structure Determination

description: Related Article: Wanglala Wanghl|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.cc29bf14
title: CCDC 2125175: Experimental Crystal Structure Determination

description: Related Article: Alexander H. Mason, Alessandro Motta, Anusheela Das, Qing Ma, Michael J. Bedzyk, Yosi Kratish, Tobin J. Marks|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.cc29bvn5
title: CCDC 2125597: Experimental Crystal Structure Determination

description: Related Article: Yu He, Xiu-Ming Li, Tian-Yu Hong, Jing-Kui Yang|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.cc29bvp6
title: CCDC 2125598: Experimental Crystal Structure Determination

description: Related Article: Yu He, Xiu-Ming Li, Tian-Yu Hong, Jing-Kui Yang|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.cc2dgrm8
title: CCDC 2218720: Experimental Crystal Structure Determination

description: Related Article: Pingru Su, Biaowen Wei, Chenxing Guo, Yaqi Hu, Runxu Tang, Shunran Zhang, Chuanxin He, Jing Lin, Xiujun Yu, Zhi Chen, Haiyang Li, Heng Wang, Xiaopeng Li|2023|J.Am.Chem.Soc.|145|3131|doi:10.1021/jacs.2c12504
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.cc2dgrwj
title: CCDC 2218728: Experimental Crystal Structure Determination

description: Related Article: Pingru Su, Biaowen Wei, Chenxing Guo, Yaqi Hu, Runxu Tang, Shunran Zhang, Chuanxin He, Jing Lin, Xiujun Yu, Zhi Chen, Haiyang Li, Heng Wang, Xiaopeng Li|2023|J.Am.Chem.Soc.|145|3131|doi:10.1021/jacs.2c12504
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.cc2dgrxk
title: CCDC 2218729: Experimental Crystal Structure Determination

description: Related Article: Pingru Su, Biaowen Wei, Chenxing Guo, Yaqi Hu, Runxu Tang, Shunran Zhang, Chuanxin He, Jing Lin, Xiujun Yu, Zhi Chen, Haiyang Li, Heng Wang, Xiaopeng Li|2023|J.Am.Chem.Soc.|145|3131|doi:10.1021/jacs.2c12504
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.cc2dgryl
title: CCDC 2218730: Experimental Crystal Structure Determination

description: Related Article: Pingru Su, Biaowen Wei, Chenxing Guo, Yaqi Hu, Runxu Tang, Shunran Zhang, Chuanxin He, Jing Lin, Xiujun Yu, Zhi Chen, Haiyang Li, Heng Wang, Xiaopeng Li|2023|J.Am.Chem.Soc.|145|3131|doi:10.1021/jacs.2c12504
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.cc2dgs0p
title: CCDC 2218732: Experimental Crystal Structure Determination

description: Related Article: Pingru Su, Biaowen Wei, Chenxing Guo, Yaqi Hu, Runxu Tang, Shunran Zhang, Chuanxin He, Jing Lin, Xiujun Yu, Zhi Chen, Haiyang Li, Heng Wang, Xiaopeng Li|2023|J.Am.Chem.Soc.|145|3131|doi:10.1021/jacs.2c12504
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.cc2dgs3s
title: CCDC 2218735: Experimental Crystal Structure Determination

description: Related Article: Pingru Su, Biaowen Wei, Chenxing Guo, Yaqi Hu, Runxu Tang, Shunran Zhang, Chuanxin He, Jing Lin, Xiujun Yu, Zhi Chen, Haiyang Li, Heng Wang, Xiaopeng Li|2023|J.Am.Chem.Soc.|145|3131|doi:10.1021/jacs.2c12504
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.cc2dhgjx
title: CCDC 2219399: Experimental Crystal Structure Determination

description: Related Article: Somnath, Musheer Ahmad, Kafeel Ahmad Siddiqui|2023|J.Mol.Struct.|1280|135055|doi:10.1016/j.molstruc.2023.135055
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/f68b449c7551fbe38ddd8e85c8f0da9f
title: Zooplankton sample inventory for Northeast U.S. Shelf Long Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2017

description: This dataset lists the inventory of physical samples from zooplankton net tows conducted on Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2017. The NES-LTER transect lies south of Martha’s Vineyard, Massachusetts. Dedicated NES-LTER cruises target summer and winter seasons, with samples collected in oblique tows with a bongo net fitted with 150 and 335 micron mesh nets, as well as a ring net with a 20 micron mesh net. Additional cruises along the NES-LTER Transect, including spring and fall cruises with the Ocean Observatories Initiative, collect samples in vertical tows using a ring net with 150 micron mesh net. Samples are shared with different labs for purposes including DNA metabarcoding, stable isotopes, and morphological identification.
DOI: 10.6084/m9.figshare.21200536
title: Shewanella Data Set

description: Shewanella spp. genomes data sets Original Research article: Comparative genome analysis of the genus Shewanella unravels the association of key genetic traits with known and potential pathogenic lineages. (Cerbino et al., 2023) doi: 10.3389/fmicb.2023.1124225
DOI: 10.6084/m9.figshare.21200536.v1
title: Shewanella Data Set

description: Shewanella spp. genomes data sets Original Research article: Comparative genome analysis of the genus Shewanella unravels the association of key genetic traits with known and potential pathogenic lineages. (Cerbino et al., 2023) doi: 10.3389/fmicb.2023.1124225
DOI: 10.5281/zenodo.7411133
title: Open MatSci ML Toolkit - DGL Graphs for OpenCatalyst IS2RE Task (OC20)

description: Dataset accompanying the release of the Open MatSciML Toolkit, an open source software for development graph neural networks on the OpenCatalyst project using the Deep Graph Library (DGL). For more details about the Open MatSci ML Toolkit, check the associated open-source repository and paper. Compressed files ~11GB with uncompressed file being ~133 GB.
description: {"references": ["Chanussot*, L., Das*, A., Goyal*, S., Lavril*, T., Shuaibi*, M., Riviere, M., Tran, K., Heras-Domingo, J., Ho, C., Hu, W., Palizhati, A., Sriram, A., Wood, B., Yoon, J., Parikh, D., Zitnick, C. L., and Ulissi, Z. Open catalyst 2020 (oc20) dataset and community challenges. ACS Catalysis, 2021. doi: 10.1021/acscatal.0c04525."]}
DOI: 10.6084/m9.figshare.22080521
title: "Shadowban"_SearchResults.xlsx

description: Search engine results collected from the Digital Methods Initiative’s Search Engine Scraper and the Lippmannian Device using the search query "shadowban." Results collected from December 24 to December 30, 2022. Duplicates removed.
DOI: 10.6084/m9.figshare.22080521.v1
title: "Shadowban"_SearchResults.xlsx

description: Search engine results collected from the Digital Methods Initiative’s Search Engine Scraper and the Lippmannian Device using the search query "shadowban." Results collected from December 24 to December 30, 2022. Duplicates removed.
DOI: 10.5281/zenodo.7613165
title: Open MatSci ML Toolkit - DGL Graphs for OpenCatalyst IS2RE Task (OC20)

description: Dataset accompanying the release of the Open MatSciML Toolkit, an open source software for development graph neural networks on the OpenCatalyst project using the Deep Graph Library (DGL). For more details about the Open MatSci ML Toolkit, check the associated open-source repository and paper. Compressed files ~8GB with uncompressed file being ~80 GB.
description: {"references": ["Chanussot*, L., Das*, A., Goyal*, S., Lavril*, T., Shuaibi*, M., Riviere, M., Tran, K., Heras-Domingo, J., Ho, C., Hu, W., Palizhati, A., Sriram, A., Wood, B., Yoon, J., Parikh, D., Zitnick, C. L., and Ulissi, Z. Open catalyst 2020 (oc20) dataset and community challenges. ACS Catalysis, 2021. doi: 10.1021/acscatal.0c04525."]}
DOI: 10.5281/zenodo.7411132
title: Open MatSci ML Toolkit - DGL Graphs for OpenCatalyst IS2RE Task (OC20)

description: Dataset accompanying the release of the Open MatSciML Toolkit, an open source software for development graph neural networks on the OpenCatalyst project using the Deep Graph Library (DGL). For more details about the Open MatSci ML Toolkit, check the associated open-source repository and paper. Compressed files ~8GB with uncompressed file being ~80 GB.
description: {"references": ["Chanussot*, L., Das*, A., Goyal*, S., Lavril*, T., Shuaibi*, M., Riviere, M., Tran, K., Heras-Domingo, J., Ho, C., Hu, W., Palizhati, A., Sriram, A., Wood, B., Yoon, J., Parikh, D., Zitnick, C. L., and Ulissi, Z. Open catalyst 2020 (oc20) dataset and community challenges. ACS Catalysis, 2021. doi: 10.1021/acscatal.0c04525."]}
DOI: 10.5281/zenodo.7627577
title: Aerosol activation from E3SM and cloud parcel model

description: This dataset contains maximum supersaturation, activation fraction, temperature, pressure, relative humidity, updraft velocity, and size, number, standard deviation, and hygroscopicity of aerosol from the 4-mode version of Modal Aerosol Module (MAM4) in U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) and from a cloud parcel model.
DOI: 10.5281/zenodo.7627576
title: Aerosol activation from E3SM and cloud parcel model

description: This dataset contains maximum supersaturation, activation fraction, temperature, pressure, relative humidity, updraft velocity, and size, number, standard deviation, and hygroscopicity of aerosol from the 4-mode version of Modal Aerosol Module (MAM4) in U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) and from a cloud parcel model.
DOI: 10.5281/zenodo.7630056
title: Datasets of the work named Development of a Low-Cost Smart Sensor GNSS System for Real-Time Positioning and Orientation for Floating Offshore Wind Platform

description: <pre>- 1_Motion_Simulator/ - IMU_results/ - 20211028101756.csv - 20220114101543.csv - 20220117000000.csv - Rotary_Table/ - 15/ - rover_20220105.nav - rover_20220105.obs - solution_20220105_CAS.log - 360/ - rover_20211221.nav - rover_20211221.obs - solution_20211221_CAS.log - 360-15/ - rover_20220202_CAS.nav - rover_20220202_CAS.obs - solution_20220202_CAS.log - Static_Tests/ - solution_SSRA00CAS0 - solution_SSRA00WHU0 - 2_GNSS_Signal_Simulator/ - platformmov_C1.xtd - platformmov_C2.xtd - platformmov_C3.xtd - TestBetaNoneMov_C1 - TestBetaNoneMov_C1.nav - TestBetaNoneMov_C1.obs - TestBetaNoneMov_C1.ubx - TestBetaNoneMov_C2 - TestBetaNoneMov_C2.nav - TestBetaNoneMov_C2.obs - TestBetaNoneMov_C2.ubx - TestBetaNoneMov_C3 - TestBetaNoneMov_C3.nav - TestBetaNoneMov_C3.obs - TestBetaNoneMov_C3.ubx - 3_Test_Sea/ - 20220503000000.xlsx - solution_28.nav - solution_28.obs - solution_28.ubx Background: {Journal Article using this dataset} 'Development of a Low-Cost Smart Sensor GNSS System for Real-Time Positioning and Orientation for Floating Offshore Wind Platform' Paper DOI: https://doi.org/10.3390/s23020925 Abstract: a low-cost smart sensor GNSS system has been developed to provide accurate real-time position and orientation measurements on a floating offshore wind platform. The approach chosen to offer a viable and reliable solution for this application is based on the use of the well-known advantages of the GNSS system as the main driver for enhancing the accuracy of positioning. For this purpose, the data reported in this work are captured through a GNSS receiver operating over multiple frequency bands (L1, L2, L5) and combining signals from different constellations of navigation satellites (GPS, Galileo, and GLONASS), and they are processed through the precise point positioning (PPP) and real-time kinematic (RTK) techniques. Furthermore, aiming to improve global positioning, the processing unit fuses the results obtained with the data acquired through an inertial measurement unit (IMU), reaching final accuracy of a few centimeters. To validate the system designed and developed in this proposal, three different sets of tests were carried out in a (i) rotary table at the laboratory, (ii) GNSS simulator, and (iii) real conditions in an oceanic buoy at sea. The real-time positioning solution was compared to solutions obtained by post-processing techniques in these three scenarios and similar results were satisfactorily achieved. </pre>
DOI: 10.5281/zenodo.7630055
title: Datasets of the work named Development of a Low-Cost Smart Sensor GNSS System for Real-Time Positioning and Orientation for Floating Offshore Wind Platform

description: <pre>- 1_Motion_Simulator/ - IMU_results/ - 20211028101756.csv - 20220114101543.csv - 20220117000000.csv - Rotary_Table/ - 15/ - rover_20220105.nav - rover_20220105.obs - solution_20220105_CAS.log - 360/ - rover_20211221.nav - rover_20211221.obs - solution_20211221_CAS.log - 360-15/ - rover_20220202_CAS.nav - rover_20220202_CAS.obs - solution_20220202_CAS.log - Static_Tests/ - solution_SSRA00CAS0 - solution_SSRA00WHU0 - 2_GNSS_Signal_Simulator/ - platformmov_C1.xtd - platformmov_C2.xtd - platformmov_C3.xtd - TestBetaNoneMov_C1 - TestBetaNoneMov_C1.nav - TestBetaNoneMov_C1.obs - TestBetaNoneMov_C1.ubx - TestBetaNoneMov_C2 - TestBetaNoneMov_C2.nav - TestBetaNoneMov_C2.obs - TestBetaNoneMov_C2.ubx - TestBetaNoneMov_C3 - TestBetaNoneMov_C3.nav - TestBetaNoneMov_C3.obs - TestBetaNoneMov_C3.ubx - 3_Test_Sea/ - 20220503000000.xlsx - solution_28.nav - solution_28.obs - solution_28.ubx Background: {Journal Article using this dataset} 'Development of a Low-Cost Smart Sensor GNSS System for Real-Time Positioning and Orientation for Floating Offshore Wind Platform' Paper DOI: https://doi.org/10.3390/s23020925 Abstract: a low-cost smart sensor GNSS system has been developed to provide accurate real-time position and orientation measurements on a floating offshore wind platform. The approach chosen to offer a viable and reliable solution for this application is based on the use of the well-known advantages of the GNSS system as the main driver for enhancing the accuracy of positioning. For this purpose, the data reported in this work are captured through a GNSS receiver operating over multiple frequency bands (L1, L2, L5) and combining signals from different constellations of navigation satellites (GPS, Galileo, and GLONASS), and they are processed through the precise point positioning (PPP) and real-time kinematic (RTK) techniques. Furthermore, aiming to improve global positioning, the processing unit fuses the results obtained with the data acquired through an inertial measurement unit (IMU), reaching final accuracy of a few centimeters. To validate the system designed and developed in this proposal, three different sets of tests were carried out in a (i) rotary table at the laboratory, (ii) GNSS simulator, and (iii) real conditions in an oceanic buoy at sea. The real-time positioning solution was compared to solutions obtained by post-processing techniques in these three scenarios and similar results were satisfactorily achieved. </pre>
DOI: 10.5281/zenodo.7443481
title: Data and Results for: Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-Contrast Imaging in the Presence of non-Gaussian Noise

description: This collection of data and results contains everything needed to reproduce the results in the paper: Comparing Apples with Apples: Robust Detection Limits for Exoplanet \\ High-Contrast Imaging in the Presence of non-Gaussian Noise The apples_root_dir.zip is further needed to run the examples of the python package Applefy.
DOI: 10.5281/zenodo.7443480
title: Data and Results for: Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-Contrast Imaging in the Presence of non-Gaussian Noise

description: This collection of data and results contains everything needed to reproduce the results in the paper: Comparing Apples with Apples: Robust Detection Limits for Exoplanet \\ High-Contrast Imaging in the Presence of non-Gaussian Noise The apples_root_dir.zip is further needed to run the examples of the python package Applefy.
DOI: 10.34740/kaggle/dsv/4977647
title: Ryanscomputers.com all laptop ads with specific.