cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.21639905.v1
title: Supporting data for "Human stem cell derived embryo surrogates for human implantation study"

description: This dataset includes all the raw data used for the plot generation for the result part in my thesis. The data mainly include attachment rates of trophoblastic spheroids derived from various stem cell lines onto receptive and non-recpetive endometrial epithelial cells, results obtained from bioinformatic analysis such as Z-scores and false discovery rate of GO analysis, gene expression levels in cells obtained by performing qPCR, protein expression levels in cells obtained through densitometry of western blots and mass spectrometry, cell stiffness and adhesiveness collected through atomic force microscopy, and cell cycle stage distribution.
DOI: 10.5281/zenodo.7317236
title: TMD GRADE assessment tables

description: sheet 1 for pain; sheet for physical functioning; sheet 3 for adverse events
DOI: 10.5281/zenodo.7379496
title: TMD GRADE assessment tables

description: sheet 1 for pain; sheet for physical functioning; sheet 3 for adverse events
DOI: 10.5281/zenodo.7317242
title: League tables for the NMA of temporomandibular disorders

description: sheet 1 for pain; sheet 2 for physical functioning; sheet 3 for adverse events
DOI: 10.5281/zenodo.7379499
title: League tables for the NMA of temporomandibular disorders

description: sheet 1 for pain; sheet 2 for physical functioning; sheet 3 for adverse events
DOI: 10.6084/m9.figshare.21638204
title: Piezo_Suppl_File_S2

description: This tarball files contains folders with the results of running MEME and MAST in three sets of proteins (i.e., the Training set, Positive control, and the Negative control). The data are organized in three directories (See Methods in the manuscript for more details): MEME: Contains the results of running MEME on a sample of 50 sequences for each one of the nine repeats characteristic of the Piezo family (TC: 1.A.75), resulting in 450 sequences total. Three Motifs 25 aa long where identified showing an E-value &lt; 1e-10 and using only one match per sequence (mode OOPS). MAST: This folder contains two subfolders: 1. Folder Piezo_homologs contains the results of running MAST on 1229 non-redundant homologs of the Piezo Family using the motif models in folder MEME (E-value &lt; 1e-4). 2. Folder Negative_control contains the results of running MAST on the entire protein content of TCDB (22,215 proteins) using the motif models in folder MEME (E-value &lt; 1e-3). Sequences This folder contains three sequence files used in the analysis. 1. File Piezo_50seqs_per_repeat.faa contains the random samples of 50 sequences per repeat (450 sequences total) used to run MEME. The Repeat to which each sequence belongs is identified with the prefix Rn_, where n = 1...9 2. File negative_control.faa contains all 22,215 TCDB sequences in the negative control. 3. File Piezo_homologs.faa contains 1229 non-redundant homologs of the Piezo family.
DOI: 10.5281/zenodo.7379507
title: USGS EdMap 2022 Swales Mountain Map

description: The dataset attached includes all the field notes taken while mapping the Swales Mountain area for a 2021-2022 USGS EdMap funded project. This dataset is compatible with an updated geologic map of Swales Mountain, NV (7.5’ quadrangle at 1:5,000 scale). Swales Mountain hosts a shallow to mid-crustal Eocene magmatic system. The goal of this project was to remap the various subvolcanic and plutonic igneous units in greater detail. The seven different units which range from rhyolite to andesite. The newly presented information from the Swales Mountain geologic map can aid in better understanding the evolution of modern and ancient arc magmatic systems alike.
DOI: 10.5281/zenodo.7379506
title: USGS EdMap 2022 Swales Mountain Map

description: The dataset attached includes all the field notes taken while mapping the Swales Mountain area for a 2021-2022 USGS EdMap funded project. This dataset is compatible with an updated geologic map of Swales Mountain, NV (7.5’ quadrangle at 1:5,000 scale). Swales Mountain hosts a shallow to mid-crustal Eocene magmatic system. The goal of this project was to remap the various subvolcanic and plutonic igneous units in greater detail. The seven different units which range from rhyolite to andesite. The newly presented information from the Swales Mountain geologic map can aid in better understanding the evolution of modern and ancient arc magmatic systems alike.
DOI: 10.6084/m9.figshare.21638138
title: Piezo_Suppl_File_S1

description: This file contains a directory with 10 Multiple sequence alignment (MSA) files in clustal format. Note that all alignments were trimmed by removing positions with more than 30% gaps (see Methods): <br> 1. Piezo.aln contains the MSA of the 279 full length proteins that were used in our analysis. <br> 2. Rep1.aln to Rep9.aln contain MSAs for each individual repeat. Sequences that did not cover at least 80% of the corresponding repeat were removed (some Piezo members do not contain all 9 repeats).
DOI: 10.6084/m9.figshare.21638138.v1
title: Piezo_Suppl_File_S1

description: This file contains a directory with 10 Multiple sequence alignment (MSA) files in clustal format. Note that all alignments were trimmed by removing positions with more than 30% gaps (see Methods): <br> 1. Piezo.aln contains the MSA of the 279 full length proteins that were used in our analysis. <br> 2. Rep1.aln to Rep9.aln contain MSAs for each individual repeat. Sequences that did not cover at least 80% of the corresponding repeat were removed (some Piezo members do not contain all 9 repeats).
DOI: 10.6084/m9.figshare.21641027
title: The scope of virtual reality in dental radiology education - A systematic review

description: The scope of virtual reality in dental radiology education - A systematic review
DOI: 10.5517/ccdc.csd.cc28y6l1
title: CCDC 2113443: Experimental Crystal Structure Determination

description: Related Article: Subhamay Pramanik, Pall Thordarson, Victor W. Day, Kristin Bowman-James|2022|CrystEngComm|24|8047|doi:10.1039/D2CE00756H
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.cc2cxv9g
title: CCDC 2202466: Experimental Crystal Structure Determination

description: Related Article: Evangelos Pilichos, Mercè Font-Bardia, Albert Escuer, Júlia Mayans|2022|Dalton Trans.|51|17653|doi:10.1039/D2DT02807G
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.cc2cxvcj
title: CCDC 2202468: Experimental Crystal Structure Determination

description: Related Article: Evangelos Pilichos, Mercè Font-Bardia, Albert Escuer, Júlia Mayans|2022|Dalton Trans.|51|17653|doi:10.1039/D2DT02807G
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: 10.5281/zenodo.7377359
title: Datasets for Coupled Water–Rice Systems

description: This dataset contains the simulation outputs, figure data and files of a coupled water-rice systems.
DOI: 10.5281/zenodo.7377360
title: Datasets for Coupled Water–Rice Systems

description: This datasets contains the output data of a coupled water-rice systems which were applied to the Shinano River watershed in Japan.
DOI: 10.5281/zenodo.7379631
title: Datasets for Coupled Water–Rice Systems

description: This dataset contains the simulation outputs, figure data and files of a coupled water-rice systems.
DOI: 10.6084/m9.figshare.21646562.v1
title: Raw data.xlsx

description: 16S and ITS high-throughput sequencing of rhizosphere microbes of medicinal plant <em>Glehnia littoralis</em>
DOI: 10.6084/m9.figshare.21646562.v2
title: OTU and Environmental factors of rhizosphere microbes.xlsx

description: 16S and ITS high-throughput sequencing of rhizosphere microbes of medicinal plant <em>Glehnia littoralis</em>
DOI: 10.21335/nmdc-1275935147
title: Acoustic data from Nansen Legacy Cruise - Arctic Basin Joint Cruise 2-2

description: Scrutinized acoustic data from the Nansen Legacy Cruise - Arctic Basin Joint Cruise 2-2 in the Eurasian Basin during August-September 2021. The acoustical data were obtained from a Simrad EK80 echosounder mounted behind an ice window under the hull at R/V Kronprins Haakon. The echosounder was calibrated according to standard procedures on 19.01.2021. The 38 KHz frequency was used to determine backscatter intensity. The backscattering data output were in the form of sA, where sA is the Nautical area scattering coefficient (NASC). Only data from periods when the ship was stationary were used due to mechanical noise when the vessel was moving through sea ice. An hour of acoustic data was selected from as near the trawl locations as possible. The data were integrated over the time period and stored at a grid of 10 m depth and 1 hour (3600 seconds). sA was classified into five classes according to their sV by sequential thresholding at 38 KHz. The five categories used were S70, S75, S80, S85 and S90, where S70 represent the organisms with strongest target strength (TS) and/or the highest density, while S90 represent the organism with weakest TS and/or the lowest density. TS measurements of scatterers were identified using detector type SED (Single echo detector), Min TS -70 dB, Pulse length determination Level: 6 dB, Minimum echo length: 0.5 (relative to pulse length), Maximum echo length 2.0 (relative to pulse length), Max gain compensation 6 dB, Phase Deviation Check: On. Max phase deviation: 8 steps. To avoid TS distributions being biased towards higher values due to reduced signal-to-noise ratio in the outer parts of the beam, we restricted the TS data to be within 2 o off axis for further application. TS measurements were extracted from the frequencies 18 and 38 KHz.
DOI: 10.6084/m9.figshare.21646593
title: The metabolic role of prolactin: systematic review, meta-analysis and preclinical considerations

description: Hyperprolactinemia has been proven to induce hypogonadism and metabolic derangements in both genders, while the consequences of prolactin (PRL) deficiency have been poorly investigated. To systematically review and analyze data from clinical studies focusing on the metabolic consequences of abnormally high prolactin levels (HPRL) and low prolactin levels (LPRL). In addition, data from preclinical studies about underlying pathophysiological mechanisms were summarized and discussed. PRL contributes to providing the correct amount of energy to support the mother and the fetus/offspring during pregnancy and lactation, but it also has a homeostatic role. Pathological PRL elevation beyond these physiological conditions, but also its reduction, impairs metabolism and body composition in both genders, increasing the risk of diabetes and cardiovascular events. Hence, hypoprolactinemia should be avoided as much as possible during treatment with dopamine agonists for prolactinomas. Patients with hypoprolactinemia, because of endogenous or iatrogenic conditions, deserve, as those with hyperprolactinemia, careful metabolic assessment.
DOI: 10.6084/m9.figshare.21646593.v1
title: The metabolic role of prolactin: systematic review, meta-analysis and preclinical considerations

description: Hyperprolactinemia has been proven to induce hypogonadism and metabolic derangements in both genders, while the consequences of prolactin (PRL) deficiency have been poorly investigated. To systematically review and analyze data from clinical studies focusing on the metabolic consequences of abnormally high prolactin levels (HPRL) and low prolactin levels (LPRL). In addition, data from preclinical studies about underlying pathophysiological mechanisms were summarized and discussed. PRL contributes to providing the correct amount of energy to support the mother and the fetus/offspring during pregnancy and lactation, but it also has a homeostatic role. Pathological PRL elevation beyond these physiological conditions, but also its reduction, impairs metabolism and body composition in both genders, increasing the risk of diabetes and cardiovascular events. Hence, hypoprolactinemia should be avoided as much as possible during treatment with dopamine agonists for prolactinomas. Patients with hypoprolactinemia, because of endogenous or iatrogenic conditions, deserve, as those with hyperprolactinemia, careful metabolic assessment.
DOI: 10.5281/zenodo.7379655
title: PERTEMUAN 9, 01 DESEMBER 2022_Dasar Pengenaan PPh Pasal 21_PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA_JAM_08.00-21.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa Mampu menjelaskan cara dan menghitung PPh Pasal 21 atas : Penerima Pensiun; Pegawai Tidak Tetap atau Tenaga Kerja Lepas yang dibayar secara bulanan, Tenaga Ahli dan Bukan Pegawai lainnya, Penghasilan yang Bersifat Final. <strong>Indikator Pembelajaran</strong> Tatacara perhitungan PPh Pasal 21; 1. Penerima Pensiun; 2. Pegawai Tidak Tetap atau Tenaga Kerja Lepas yang dibayar secara bulanan. 3. Tenaga Ahli dan Bukan Pegawai lainnya; 4. Penghasilan yang bersifat final
description: PERTEMUAN 9, 01 DESEMBER 2022_Dasar Pengenaan PPh Pasal 21_PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA_JAM_08.00-21.30
DOI: 10.5281/zenodo.7379654
title: PERTEMUAN 9, 01 DESEMBER 2022_Dasar Pengenaan PPh Pasal 21_PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA_JAM_08.00-21.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa Mampu menjelaskan cara dan menghitung PPh Pasal 21 atas : Penerima Pensiun; Pegawai Tidak Tetap atau Tenaga Kerja Lepas yang dibayar secara bulanan, Tenaga Ahli dan Bukan Pegawai lainnya, Penghasilan yang Bersifat Final. <strong>Indikator Pembelajaran</strong> Tatacara perhitungan PPh Pasal 21; 1. Penerima Pensiun; 2. Pegawai Tidak Tetap atau Tenaga Kerja Lepas yang dibayar secara bulanan. 3. Tenaga Ahli dan Bukan Pegawai lainnya; 4. Penghasilan yang bersifat final
description: PERTEMUAN 9, 01 DESEMBER 2022_Dasar Pengenaan PPh Pasal 21_PERPAJAKAN_UNIVERSITAS WIJAYA PUTRA_JAM_08.00-21.30
DOI: 10.6084/m9.figshare.21646616
title: Data.xlsx

description: The data set describes the scores of university students both males and females regarding their socio-economic status, measures of Emotional Intelligence, Cognitive Flexibility, Attachment styles and Aggression.
DOI: 10.5517/ccdc.csd.cc2cy32j
title: CCDC 2202707: Experimental Crystal Structure Determination

description: Related Article: Zixuan Xu, Zhaoyu Wang, Yanyun Zhang, Xiaokang Yao, Meijuan Ding, Huifang Shi, Zhongfu An|2022|Chem.Commun.|58|13266|doi:10.1039/D2CC04941D
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.cc2cy33k
title: CCDC 2202708: Experimental Crystal Structure Determination

description: Related Article: Zixuan Xu, Zhaoyu Wang, Yanyun Zhang, Xiaokang Yao, Meijuan Ding, Huifang Shi, Zhongfu An|2022|Chem.Commun.|58|13266|doi:10.1039/D2CC04941D
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.cc2cy7cy
title: CCDC 2202840: Experimental Crystal Structure Determination

description: Related Article: Michaela Černá, John A. Seed, Sara Garrido Fernandez, Michael T. Janicke, Brian L. Scott, George F. S. Whitehead, Andrew J. Gaunt, Conrad A. P. Goodwin|2022|Chem.Commun.|58|13278|doi:10.1039/D2CC04803E
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.cc2cyk41
title: CCDC 2203143: Experimental Crystal Structure Determination

description: Related Article: Zixuan Xu, Zhaoyu Wang, Yanyun Zhang, Xiaokang Yao, Meijuan Ding, Huifang Shi, Zhongfu An|2022|Chem.Commun.|58|13266|doi:10.1039/D2CC04941D
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.cc2clcbp
title: CCDC 2192392: Experimental Crystal Structure Determination

description: Related Article: Minjung Kang, Jong Hyeak Choe, Hyojin Kim, Hongryeol Yun, Dae Won Kim, Chang Seop Hong|2022|J.Mater.Chem.A|10|24824|doi:10.1039/D2TA06863J
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/4621809
title: Contrastive Language Image Pretraining by openai
DOI: 10.15151/esrf-es-924497995
title: Belgian BAG

description: The BAG includes groups situated at four Flemish universities: Antwerp, Brussels, Ghent and Leuven. Several of these groups are part of the elite Flemish Institute of Biotechnology (VIB). The proposed projects are highly diverse, including viral, prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Many projects deal with membrane proteins, cell surface receptors and protein-protein complexes. Central to the research in the BAG associated groups is the employment of integrative methods in structural biology combining X-ray crystallography, SAXS, and cryo-electron microscopy. Many crystals in the various proposed projects are small in size and radiation sensitive, requiring the use of the high brilliance MX beam lines, preferably with micro-focused X-rays. This is a continuation of a previous Belgian BAG which has resulted in numerous top-tier publications.
DOI: 10.15151/esrf-es-925343368
title: Structural Biology of Macromolecules and Macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX & SAXS to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Department of Biotechnology (DBT) enables studies that provide fundamental mechanistic insight regarding different biological processes. A brief description of over 50 research groups is provided in the global summary and a summary of their research contributions involving data collected at ESRF is provided in the 2 year BAG report. The ESRF-India partnership is supported by a single grant provided to the RCB by the DBT. Please note that a report listing no. of shifts utilized, details of users and the research output from these visits has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-925384972
title: Synchrotron Serial Crystallography (SSX) BAG

description: The aim of this BAG is the development of new methods, hardware and software for different applications in SSX. The new EBS machine is in the privileged position of exploiting flux density previously unmatched at synchrotron beamlines. This is likely to open a new paradigm in serial synchrotron crystallography, by enhancing the signal to noise of the diffraction data and reducing the minimum exposure time. The increase in photon flux density at the sample position will interest most of the MX beamlines and it is going to be particularly effective for microfocus beamline such as ID23-2 and ID30A3. We plan to further develop different SSX data collection methods in the attempt to profit of the characteristic of the new beam and to extend the implementation of automated procedures to simplify the access to SSX methods for the MX community.
DOI: 10.15151/esrf-es-925650215
title: ITABAG: 3D structures of macromolecules related to human health

description: The ITABAG includes structural biologists from Universities, the National Research Council and Hospital research centres in Italy. The laboratories take advantage of single crystal and small angle X-ray diffraction methods to study the structure-function relationships in various macromolecules. A unifying factor for the vast majority of the macromolecules under study is that they are related to human health, either directly, being human proteins involved in some disease, or indirectly, as proteins expressed by human pathogens and validated as potential pharmacological targets. Other projects investigate basic chemical processes, such as crystal growth, or aim at characterising macromolecules with potential biotechnological applications.
DOI: 10.15151/esrf-es-928402287
title: Structural investigation of membrane and water soluble proteins

description: The portfolio of this BAG includes structural investigation of membrane proteins as well as soluble proteins relevant to various scientific fields. These range from basic science to application-related projects with impact on biotechnology (optogenetics, biocatalysts) and medicine (understanding and combating bacterial and viral pathogens).
DOI: 10.15151/esrf-es-923285549
title: Differential contrast tomography investigation of 3D microtexture for microstructure-driven high-cycle fatigue models through graph convolut

description: The overarching goal is to represent 3D microstructures through appropriate graphs to apply graph neural networks (GNN) approaches for high cycle fatigue damage prediction. These GNN methods facilitate comparatively physical modeling of polycrystalline materials and can potentially learn characteristic interactions at the microstructural scale, e.g. dislocation pile up at grain boundaries (GB). Especially in high-cycle fatigue, the microstructure sensitivity in fatigue is pronounced, leading to the requirement of comprehensive microstructural feature space, only attainable by 3D microtexture data. Therefore, DCT is supposed to be applied ex-situ (before and after fatigue) on eight specimens to capture the GB plane orientation and phase-contrast measurements to identify internal defects such as pores and inclusions. The multimodal data will be registered with experimental data from our tailored bending resonance fatigue apparatus and finally used for graph modeling and learning.