cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c1wgs
title: CCDC 2176555: Experimental Crystal Structure Determination

description: Related Article: Yanli Zhang, Wenlong Li, Ruijun Jiang, Lei Zhang, Yuanhao Li, Xiaoyang Xu, Xuguang Liu|2022|J.Org.Chem.|87|12986|doi:10.1021/acs.joc.2c01534
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.cc2c1wht
title: CCDC 2176556: Experimental Crystal Structure Determination

description: Related Article: Yanli Zhang, Wenlong Li, Ruijun Jiang, Lei Zhang, Yuanhao Li, Xiaoyang Xu, Xuguang Liu|2022|J.Org.Chem.|87|12986|doi:10.1021/acs.joc.2c01534
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.cc2c1wjv
title: CCDC 2176557: Experimental Crystal Structure Determination

description: Related Article: Yanli Zhang, Wenlong Li, Ruijun Jiang, Lei Zhang, Yuanhao Li, Xiaoyang Xu, Xuguang Liu|2022|J.Org.Chem.|87|12986|doi:10.1021/acs.joc.2c01534
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.cc2c1wkw
title: CCDC 2176558: Experimental Crystal Structure Determination

description: Related Article: Yanli Zhang, Wenlong Li, Ruijun Jiang, Lei Zhang, Yuanhao Li, Xiaoyang Xu, Xuguang Liu|2022|J.Org.Chem.|87|12986|doi:10.1021/acs.joc.2c01534
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.cc2c1wlx
title: CCDC 2176559: Experimental Crystal Structure Determination

description: Related Article: Yanli Zhang, Wenlong Li, Ruijun Jiang, Lei Zhang, Yuanhao Li, Xiaoyang Xu, Xuguang Liu|2022|J.Org.Chem.|87|12986|doi:10.1021/acs.joc.2c01534
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.cc25x7x8
title: CCDC 2023150: Experimental Crystal Structure Determination

description: Related Article: S. Selvanandan, H. Anil kumar, H.T. Srinivasa, B.S. Palakshamurthy|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|989|doi:10.1107/S2056989022008441
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.cc2d0gyv
title: CCDC 2204997: Experimental Crystal Structure Determination

description: Related Article: P. Priyanka, B.K. Jayanna, H. Kiran Kumar, Vinaya, T.R. Divakara, H.S. Yathirajan, C. Glidewell, S. Parkin|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|984|doi:10.1107/S2056989022008799
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.cc2d0gzw
title: CCDC 2204998: Experimental Crystal Structure Determination

description: Related Article: P. Priyanka, B.K. Jayanna, H. Kiran Kumar, Vinaya, T.R. Divakara, H.S. Yathirajan, C. Glidewell, S. Parkin|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|984|doi:10.1107/S2056989022008799
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: 10.34740/kaggle/dsv/4296905
title: ns-flooding-dataset
DOI: 10.6084/m9.figshare.19545169
title: Tabula Muris Senis (TMS) dataset

description: Tabula Muris Senis (TMS) atlas (n = 101,045 cells, 23 mouse tissues)
DOI: 10.6084/m9.figshare.21300237.v1
title: ent_embedding_250.csv

description: This is the regional embedding vectors through KR-EAR.
DOI: 10.6084/m9.figshare.21300237
title: ent_embedding_250.csv

description: This is the regional embedding vectors through KR-EAR.
DOI: 10.6084/m9.figshare.21300246
title: groundtruth

description: this the proportions of 37 land use types in each region
DOI: 10.6084/m9.figshare.21300246.v1
title: groundtruth

description: this the proportions of 37 land use types in each region
DOI: 10.6084/m9.figshare.21300259.v1
title: Additional file 1 of The hierarchy of multiple stressors’ effects on benthic invertebrates: a case study from the rivers Erft and Niers, Germany

description: Additional file 1: Supplement S1. Land use characteristics in the catchments. Supplement S2. Correlation with land use variables. Supplement S3. Statistical key parameters of all stressor variables. Supplement S4. Overview of micropollutants. Supplement S5. Description of Indicators of Hydrological Alteration. Supplement S6. Selection of the stream course length for assessing morphological degradation.
DOI: 10.6084/m9.figshare.21300259
title: Additional file 1 of The hierarchy of multiple stressors’ effects on benthic invertebrates: a case study from the rivers Erft and Niers, Germany

description: Additional file 1: Supplement S1. Land use characteristics in the catchments. Supplement S2. Correlation with land use variables. Supplement S3. Statistical key parameters of all stressor variables. Supplement S4. Overview of micropollutants. Supplement S5. Description of Indicators of Hydrological Alteration. Supplement S6. Selection of the stream course length for assessing morphological degradation.
DOI: 10.25921/2gty-5p88
title: EK60 Water Column Sonar Data Collected During RL1706
DOI: 10.6084/m9.figshare.21300213
title: Present-day warm pool constrains future tropical precipitation

description: Present-day warm pool constrains future tropical precipitation
DOI: 10.6084/m9.figshare.21300213.v2
title: Present-day warm pool constrains future tropical precipitation

description: Present-day warm pool constrains future tropical precipitation
DOI: 10.6084/m9.figshare.21300213.v1
title: Present-day warm pool constrains future tropical precipitation

description: Present-day warm pool constrains future tropical precipitation
DOI: 10.6084/m9.figshare.21300261
title: scopusWoS1.csv

description: The dataset is a metadata collection of research works in CE barriers and enablers in construction. Its a combined data set from Scopus and Web of Science database.
DOI: 10.6084/m9.figshare.21300261.v1
title: scopusWoS1.csv

description: The dataset is a metadata collection of research works in CE barriers and enablers in construction. Its a combined data set from Scopus and Web of Science database.
DOI: 10.5281/zenodo.7169688
title: The natural abundance of stable water isotopes method may overestimate deep-layer soil water use by trees

description: The dataset is the basic data of the author's paper 'The natural abundance of stable water isotopes method may overestimate deep-layer soil water use by trees'. The main content of this paper is to study the water use strategy of trees in deep vadose zone regions by first identifying the soil layer depths from which trees derive their water source using isotopic labeling in deep layers and then calculating water sources based on the natural abundance of stable isotopes. We also compared the results with the natural abundance of stable water isotopes method. Taking apple plantation as an example, the data set includes the soil moisture, isotopic value in soil water, xylem water and precipitation.
DOI: 10.5281/zenodo.7170255
title: Pertemuan 6_10 Oktober 2022_PENENTUAN BIAYA PROSES_Akuntansi Biaya_Universitas Gresik

description: <strong>Capaian Pembelajaran (CPMK)</strong> Setelah megikuti perkuliahan ini mahasiswa Mampu mengerjakan penentuan biaya Proses <strong>Indikator</strong><strong> </strong><strong>Pembelajaran</strong><strong>:</strong> 1.Sistem Akuntansi Dasar 2.Sistem Akuntansi Manual 3.Sistem Akuntansi Terkomputerisasi 4.Perdagangan Elektronik 5. Analisis dan Intertasi keuangan Analisis segmen
DOI: 10.5281/zenodo.7170254
title: Pertemuan 6_10 Oktober 2022_PENENTUAN BIAYA PROSES_Akuntansi Biaya_Universitas Gresik

description: <strong>Capaian Pembelajaran (CPMK)</strong> Setelah megikuti perkuliahan ini mahasiswa Mampu mengerjakan penentuan biaya Proses <strong>Indikator</strong><strong> </strong><strong>Pembelajaran</strong><strong>:</strong> 1.Sistem Akuntansi Dasar 2.Sistem Akuntansi Manual 3.Sistem Akuntansi Terkomputerisasi 4.Perdagangan Elektronik 5. Analisis dan Intertasi keuangan Analisis segmen
DOI: 10.5519/qd.58xee354
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (47 records)
DOI: 10.5281/zenodo.7167387
title: galaxy-spin-zs-catalog

description: Galaxy classification catalogs in the paper <em>Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality Equivariant Residual Network</em> by He Jia, Hong-Ming Zhu and Ue-Li Pen. See readme.md for description of the catalogs.
DOI: 10.5281/zenodo.7167388
title: galaxy-spin-zs-catalog

description: Galaxy classification catalogs in the paper <em>Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality Equivariant Residual Network</em>. <strong>reduced_gz1.csv</strong> (173,097 galaxies) catalog column p_cw_gz, p_acw_gz n_vote p_cw_sdss, p_acw_sdss p_cw_desi, p_acw_desi description vote fractions from the original Galaxy Zoo 1 catalog total number of votes in Galaxy Zoo 1 CE-ResNet predictions using SDSS images CE-ResNet predictions using DESI images The remaining columns are from the SDSS SQL database. Some of the columns are renamed and you can find the original names below. Please visit the SDSS site for the description of the columns. <em>SDSS DR16 PhotoObj, https://skyserver.sdss.org/dr16/en/help/browser/browser.aspx?cmd=description+PhotoObjAll+U#&&history=description+PhotoObjAll+U</em> catalog column objid_16 ra dec rad_r rad_err_r r50_r original name objID ra dec PetroRad_r PetroRadErr_r petroR50_r catalog column r50_err_r r90_r r90_err_r m_u m_err_u m_g original name petroR50Err_r petroR90_r petroR90Err_r u err_u g catalog column m_err_g m_r m_err_r m_i m_err_i m_z original name err_g r err_r i err_i z catalog column m_err_z q_r q_err_r u_r u_err_r original name err_z q_r q_err_r u_r u_err_r <em>SDSS DR16 SpecObj, http://skyserver.sdss.org/dr16/en/help/browser/browser.aspx?cmd=description+SpecObjAll+U#&&history=description+SpecObjAll+U</em> catalog column z_s ra_s dec_s original name z ra dec <em>SDSS DR7 PhotoObj, </em>http://cas.sdss.org/dr7/en/help/browser/description.asp?n=PhotoObjAll&t=U catalog column objid_7 original name objID <strong>pre_desi.fits</strong> (1,953,246 galaxies) All the columns other than P_CW and P_ACW are from the DESI sweep catalogs. See https://www.legacysurvey.org/dr9/files/#sweep-catalogs-region-sweep.
DOI: 10.5281/zenodo.7170836
title: galaxy-spin-zs-catalog

description: Galaxy classification catalogs in the paper <em>Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality Equivariant Residual Network</em> by He Jia, Hong-Ming Zhu and Ue-Li Pen. See readme.md for description of the catalogs.
DOI: 10.5281/zenodo.7170929
title: galaxy-spin-zs-catalog

description: Galaxy classification catalogs in the paper <em>Galaxy Spin Classification I: Z-wise vs S-wise Spirals With Chirality Equivariant Residual Network</em> by He Jia, Hong-Ming Zhu and Ue-Li Pen. See readme.md for description of the catalogs.
DOI: 10.5066/p9xm63rk
title: PlanetScope and DESIS spectral library of agricultural crops in California's Central Valley for the 2020 growing season

description: Here we provide information for the PlanetScope and d Deutsches Zentrum fur Luft- und Raumfahrt (DLR) Earth Sensing Imaging Spectrometer (DESIS) Derived Spectral Library of Agricultural Crops in California which was developed using PlanetScope Dove-R high spatial resolution data and DESIS hyperspectral data acquired for 2020. PlanetScope images are available through Planet Labs (2022). The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). The crop type data and confidence layer for 2020 can be accessed through the United States Department of Agriculture National Agricultural Statistics Service (2022). The PlanetScope and DESIS Derived Spectral Library of Agricultural Crops [...]
DOI: 10.5066/p9w8fatw
title: USGS National and Global Oil and Gas Assessment Project-U.S. Gulf Coast, Deep Tuscaloosa Conventional Gas: Assessment Unit Boundary, Assessment Input Data, and Fact Sheet Data Tables

description: This data release contains the boundaries of assessment units and input data for the assessment of undiscovered Deep Tuscaloosa Group sandstones conventional gas resources in the U.S. Gulf Coast in Louisiana and Mississippi. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. In addition to the shapefile, for U.S. assessments, allocation tables are provided that enumerate percentages assigned to various land categories. Machine-readable tables are also provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5066/p9eiv8l5
title: Thermal Infrared images and field data on areas of groundwater discharge in the Farmington River watershed

description: Areas of groundwater discharge are hydrologically and ecologically important, and yet are difficult to predict at the river network scale. Thermal infrared imagery can be used to identify areas of groundwater discharge based on an observed temperature anomaly (colder during the late summer or warmer during the late winter). The thermal images, direct temperature measurements (11 cm depth) and discharge zone (seep) location information in this data release were collected as part of a study to evaluate and improve predicted spatial patterns of groundwater discharge. The data were collected during the late summer / early fall of 2017 along selected river reaches in the Farmington River watershed (Connecticut and Massachusetts). This dataset contains 4 files. 1) Images.zip is a zipped directory containing thermal infrared and real color images. 2) Image_Details.csv contains attribute information for each thermal image. 3) ScannedReaches.shp is a shapefile indicating the river reaches that were surveyed. 4) Seeps.shp is a shapefile of groundwater seep locations and attributes that were identified during the fieldwork.
DOI: 10.5281/zenodo.7171326
title: data source file to factors affecting augmented reality head mounted device performance in real OR

description: Excel spread sheet of data generated durgin the experiments and later used for statistical analysis
DOI: 10.5281/zenodo.7171325
title: data source file to factors affecting augmented reality head mounted device performance in real OR

description: Excel spread sheet of data generated durgin the experiments and later used for statistical analysis
DOI: 10.6084/m9.figshare.21269019
title: Number_task

description: Below are all the raw data of the perceptual number-matching task results. For testing the self-prioritization effect in the perceptual tasks, we analyzed each task separately. Correct responses shorter than 200ms were excluded from the analyses, eliminating less than 1% of the trials overall. For the reaction times (RTs), we used a one-way ANOVA for each of the tasks, testing within-subject differences for shape/number. This was first performed for all conditions together, and then separately for matched pairs. For testing the interaction between MA and self-prioritization in each perceptual task, we used Pearson correlation, creating a single measure of self-prioritization. To this end (following Sui et al., 2013), we first created a single measure named “behavioral response efficiency,” which is the Self-minus-Stranger difference in RT/ Accuracy (note that the stronger the self-prioritization, the higher the behavioral response efficiency). We than created a single measure created only from RT difference between self-stranger, since previous findings yeilded a reduced self-prioritization effect only in RT (David et al., 2022; Sui et al., 2016). To answer the fifth research question, we first conducted a Pearson correlation test between MA (math anxiety) and performance in the two self-prioritization tasks. Examining the relationship between behavioral response efficiency and MA yielded no significant correlations for the perceptual shape-matching task, nor for the number-matching task ([r = -0.12, n = 127, p = 0.19] , [r = 0.05, n = 126, p = 0.54] , respectively). Moreover, no significant correlations between MA and the single RT measure were found, not for the shape-matching task [r = 0.09, n = 127, p = 0.92] nor the number-matching task [r = -0.02, n = 126, p = 0.80]. In sum, we did not find any significant correlations between both the behavioral tasks and MA.
DOI: 10.6084/m9.figshare.21269019.v1
title: Number_task

description: Below are all the raw data of the perceptual number-matching task results. For testing the self-prioritization effect in the perceptual tasks, we analyzed each task separately. Correct responses shorter than 200ms were excluded from the analyses, eliminating less than 1% of the trials overall. For the reaction times (RTs), we used a one-way ANOVA for each of the tasks, testing within-subject differences for shape/number. This was first performed for all conditions together, and then separately for matched pairs. For testing the interaction between MA and self-prioritization in each perceptual task, we used Pearson correlation, creating a single measure of self-prioritization. To this end (following Sui et al., 2013), we first created a single measure named “behavioral response efficiency,” which is the Self-minus-Stranger difference in RT/ Accuracy (note that the stronger the self-prioritization, the higher the behavioral response efficiency). We than created a single measure created only from RT difference between self-stranger, since previous findings yeilded a reduced self-prioritization effect only in RT (David et al., 2022; Sui et al., 2016). To answer the fifth research question, we first conducted a Pearson correlation test between MA (math anxiety) and performance in the two self-prioritization tasks. Examining the relationship between behavioral response efficiency and MA yielded no significant correlations for the perceptual shape-matching task, nor for the number-matching task ([r = -0.12, n = 127, p = 0.19] , [r = 0.05, n = 126, p = 0.54] , respectively). Moreover, no significant correlations between MA and the single RT measure were found, not for the shape-matching task [r = 0.09, n = 127, p = 0.92] nor the number-matching task [r = -0.02, n = 126, p = 0.80]. In sum, we did not find any significant correlations between both the behavioral tasks and MA.
DOI: 10.15151/esrf-es-874757855
title: The Institute of Structural and Molecular Biology (ISMB) application for beam time, comprising groups from Birkbeck College, UCL and the Que

description: The ISMB spans Birkbeck and UCL with researchers in the core Departments at Birkbeck Biological Sciences and several UCL Research Departments. Research groups from Queen Mary University of London (QMUL) and Kingston University (KU) are joint co-applicants as they have strong links and collaborations with groups from ISMB. All groups share common interests in disciplines including structural, chemical, molecular and cell biology; using multidisciplinary and multiscalar approaches. ISMB, UCL, QMUL and KU investigators, ranging from early-career research fellows to internationally-established senior academics, apply X-ray crystallography carried out mainly at our Wellcome funded facility at Birkbeck, as an essential method enabling: i) description of the atomic-level mechanistic details of macromolecules and macromolecular machines, and ii) structure-based drug discovery, while iii) complementing and supporting cryo-electron microscopy (cryo-EM) projects.
DOI: 10.15151/esrf-es-874774104
title: BAG Montpellier

description: The BAG of Montpellier ...
DOI: 10.15151/esrf-es-886073256
title: Berlin-Karlsruhe - Macromolecular Crystallography BAG - Structural Biology of light responsive, signal transducing and metalloproteins

description: The project aims to investigate structure-function relationships in different groups of soluble and membrane proteins, most of which are involved in signal transduction or energy conversion. We investigate the signalling mechanisms of phytochromes by focusing on the structures of the intermediates of the photocycle and by analysing domain movements or by introducing unnatural amino acids. We analyse the structures of different G protein-coupled receptors (GPCRs; e.g. melanocortin-4 receptor and rhodopsin), either alone or in complex with their cognate G-proteins, to understand their signalling mechanisms. In our work on the biocatalytic splitting of molecular hydrogen into protons and electrons, we analyse the membrane-bound and soluble [NiFe] hydrogenases, proteins of the remarkably small subgroup of hydrogenases that are active under aerobic conditions. Other research areas include mechanosensitive channels, microbial rhodopsins, cytomegalovirus proteins and DNA photolyases.