cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48567/3p1t-k237
title: Marilyn Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/vqhp-5y25
title: Minna Bluff Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/142b-5r37
title: Mizuho Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/23km-9g34
title: Nico Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/953k-3c23
title: Phoenix Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/s863-tf20
title: Possession Island Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/xcbb-gd09
title: Relay Station Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/1xmx-qv77
title: Sabrina Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/mkbx-4c08
title: Schwerdtfeger Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/cecm-f445
title: Siple Dome Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/mz6n-xa73
title: Thurston Island Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/rtcm-9t23
title: Vito Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/tx4z-sb59
title: White Island Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/qh9w-9836
title: Whitlock Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.48567/j6v2-tz98
title: Windless Bight Automatic Weather Station, 2024 unmodified ten-minute observational data.
DOI: 10.3886/e198162v1
title: A pre-post evaluation study of a social media-based COVID-19 communication campaign to improve attitudes and behaviors toward COVID-19 vaccination in Tanzania

description: In Tanzania, the One by One: Target COVID-19 campaign was launched nationally in July 2022 to address the prevalent vaccine hesitancy and lack of confidence in COVID-19 vaccines. The campaign mobilized social media influencers and viral content with the ultimate goal of increasing COVID-19 vaccine uptake in the country.The objective of this study was to empirically assess the impact of the campaign on three outcomes: vaccine confidence, vaccine hesitancy, and vaccination status. Using programmatic data collected through an online survey before and after the campaign, we conducted a difference-in-difference (DiD) analysis and performed a crude, adjusted, and propensity score-matched analysis for each study outcome. Lastly, to observe whether there was any differential impact of the campaign across age groups, we repeated the analyses on age-stratified subgroups.Data included 5,804 survey responses, with 3,442 and 2,362 responses collected before and after the campaign, respectively. Although there was only weak evidence of increased COVID-19 vaccine confidence in the campaign-exposed group compared to the control group across all age groups, we observed a differential impact among different age groups. While no significant change was observed among young adults aged 18-24 years, the campaign exposure led to a statistically significant increase in vaccine confidence (weighted/adjusted DiD coefficient=0.76; 95% CI: 0.06, 1.5; p-value=0.034) and vaccination uptake (weighted/adjusted DiD coefficient=1.69.; 95% CI: 1.02, 2.81; p-value=0.023) among young adults aged 25-34 years. Among adults aged 35 years and above, the campaign exposure led to a significant decrease in vaccine hesitancy (weighted/adjusted DiD coefficient=-15; 95% CI: -21, -8.3; p-value&lt;0.001).The social media campaign successfully improved vaccine hesitancy, confidence, and uptake in the Tanzanian population, albeit to varying degrees across age groups. Our study provides valuable insights for the planning and evaluation of similar social media communication campaigns aiming to bolster vaccination efforts.<b><br></b>
DOI: 10.5066/p90kbfnx
title: Time Domain Electromagnetic Soundings at Dering Harbor, Shelter Island, NY

description: This data release contains time domain electromagnetic (TDEM) surveys collected at three different sites in Dering Harbor, Shelter Island, New York. The TDEM surveys were collected in 2018, 2022, and 2023.
DOI: 10.5066/p9q1tr1u
title: Physical and Hydraulic Monitoring on the Yellowstone River Fish Bypass Channel, Montana, May 2022 to August 2023

description: This data release was produced by the U.S. Geological Survey (USGS) in cooperation with the Bureau of Reclamation to present the results of monitoring efforts on the Yellowstone River fish bypass channel according to the specifications of the Lower Yellowstone Adaptive Management and Monitoring Plan. The fish bypass channel was constructed to provide upstream migrating fish with a route around a diversion dam. The objective of this study is to monitor the physical and hydraulic characteristics of the bypass channel, including flow split, minimum depth for the deepest continuous 30 cross sectional feet, and mean channel velocity, which are summarized in the data files in this data release. Physical and hydraulic data collected during this study will be used to ensure that the hydraulic design criteria of the bypass channel are being met.
DOI: 10.6075/j0hx1cw0
title: Ceilometer Profiles and Derived Products, 2023. In Meteorological and Aerosol Measurements near the Salton Sea, California

description: This object contains measurements and products from a Vaisala CL51 ceilometer located near the western shoreline of the Salton Sea, California. Daily data files are processed by the Vaisala BL View software and then combined to generate monthly files for permanent archiving. Included are level 2 (L2) backscatter profiles and level 3 (L3) derived products. More information on the CL51 and BL View software can be found in their respective manuals, which can be accessed from https://docs.vaisala.com/.
DOI: 10.3886/e195341
title: ECIN Replication Package for "Macroprudential Policies and Brexit: A Welfare Analysis"

description: Brexit will have implications on financial stability and the implementation of macroprudential policies. The United Kingdom (UK) will no longer be subject to the jurisdiction of the European Systemic Risk Board (ESRB). This paper studies the welfare implications of this change of regime. By means of a Dynamic Stochastic General Equilibrium model (DSGE), I compare the pre-Brexit scenario with the new one, in which the UK sets macroprudential policy independently. I find that, after Brexit, the UK is better o¤ by setting its own macroprudential policy without taking into account Europe's welfare as a whole.
DOI: 10.3886/e195341v1
title: ECIN Replication Package for "Macroprudential Policies and Brexit: A Welfare Analysis"

description: Brexit will have implications on financial stability and the implementation of macroprudential policies. The United Kingdom (UK) will no longer be subject to the jurisdiction of the European Systemic Risk Board (ESRB). This paper studies the welfare implications of this change of regime. By means of a Dynamic Stochastic General Equilibrium model (DSGE), I compare the pre-Brexit scenario with the new one, in which the UK sets macroprudential policy independently. I find that, after Brexit, the UK is better o¤ by setting its own macroprudential policy without taking into account Europe's welfare as a whole.
DOI: 10.3886/e195341v2
title: ECIN Replication Package for "Macroprudential Policies and Brexit: A Welfare Analysis"

description: Brexit will have implications on financial stability and the implementation of macroprudential policies. The United Kingdom (UK) will no longer be subject to the jurisdiction of the European Systemic Risk Board (ESRB). This paper studies the welfare implications of this change of regime. By means of a Dynamic Stochastic General Equilibrium model (DSGE), I compare the pre-Brexit scenario with the new one, in which the UK sets macroprudential policy independently. I find that, after Brexit, the UK is better o¤ by setting its own macroprudential policy without taking into account Europe's welfare as a whole.
DOI: 10.5517/ccdc.csd.cc2hjkqb
title: CCDC 2309832: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjkrc
title: CCDC 2309833: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjksd
title: CCDC 2309834: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjktf
title: CCDC 2309835: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjkvg
title: CCDC 2309836: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjkwh
title: CCDC 2309837: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjkxj
title: CCDC 2309838: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjkyk
title: CCDC 2309839: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2hjkzl
title: CCDC 2309840: Experimental Crystal Structure Determination

description: Related Article: Robin Guthardt, Cameron Jones|2024|Chem.Commun.|60|1583|doi:10.1039/D3CC05760G
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.cc2gvs6b
title: CCDC 2289852: Experimental Crystal Structure Determination

description: Related Article: Jian Luan|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.cc2h9566
title: CCDC 2302717: Experimental Crystal Structure Determination

description: Related Article: Snežana Selaković, Marko V. Rodić, Irena Novaković, Ivana Z. Matić, Tatjana Stanojković, Andrea Pirković, Lada Živković, Biljana Spremo-Potparević, Miloš Milčić, Vesna Medaković, Filitsa Dimiza, George Psomas, Katarina Anđelković, Maja Šumar-Ristović|2024|Dalton Trans.|53|2770|doi:10.1039/D3DT03862A
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.cc2h9577
title: CCDC 2302718: Experimental Crystal Structure Determination

description: Related Article: Snežana Selaković, Marko V. Rodić, Irena Novaković, Ivana Z. Matić, Tatjana Stanojković, Andrea Pirković, Lada Živković, Biljana Spremo-Potparević, Miloš Milčić, Vesna Medaković, Filitsa Dimiza, George Psomas, Katarina Anđelković, Maja Šumar-Ristović|2024|Dalton Trans.|53|2770|doi:10.1039/D3DT03862A
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.cc2hb7bf
title: CCDC 2303744: Experimental Crystal Structure Determination

description: Related Article: Nagale S. Vishwajith, Mridul Krishna Sharma, Isha Jain, Pratap Vishnoi|2024|Dalton Trans.|53|2465|doi:10.1039/D3DT03772J
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.cc2hfmzk
title: CCDC 2307019: Experimental Crystal Structure Determination

description: Related Article: Sourav Datta, Sunanda Dey, Chittaranjan Sinha, Basudeb Dutta, Priyabrata Banerjee, Mohammad Hedayetullah Mir|2023|Dalton Trans.|53|2859|doi:10.1039/D3DT03939K
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: 10.6084/m9.figshare.25155890
title: Data_QA_paper

description: This compressed file contains the data that we are sharing for our paper titled "Automatic Question Answering from ESG Reports".
DOI: 10.6084/m9.figshare.25155890.v1
title: Data_QA_paper

description: This compressed file contains the data that we are sharing for our paper titled "Automatic Question Answering from ESG Reports".
DOI: 10.6069/wgwg-kq12
title: One-Pot Isotope Dilution PRM for Quantitative Protein Heterogeneity in Red Blood Cells

description: Single cell and low-input cell proteomics to measure cellular heterogeneity remains experimental and requires further refinement for routine application. This study aimed to build on previous protocols to assess the utility of targeted proteomics for measuring heterogeneity in red blood cells (RBCs). Pioneering developments, nanodroplet processing in one-pot for trace samples (nanoPOTS) and automated preparation in one-pot for trace samples (autoPOTS), allow single cell proteomics on proteins with copy numbers <106.  Here, the latter workflow was further simplified to eliminate robotic liquid handling instrument and modified (10-port) nano-LC switching valve, required for online solid phase extraction. When combined with isotope labeled synthetic peptide standards for targeted quantitative isotope dilution parallel reaction monitoring (PRM) LC-MS (IDMS-PRM), protein quantification was completed in 2.5 h from sample preparation to data analysis. To assess the utility of the protocol for measuring (protein) cellular heterogeneity, an IDMS-PRM assay was developed to measure endogenous N-terminal proteolytic peptide of hemoglobin beta subunit and it’s N-terminal valine carboxymethyl (CMV) adduct, which were quantified in single digit red blood cells (RBCs), isolated via limiting-dilution (LD). Substituting limiting dilution with a more sophisticated isolation strategy, achieved with the CellenONE single cell dispenser, the endogenous concentration of the N-terminal proteolytic peptide of hemoglobin beta subunit, and by inference the hemoglobin tetramer, was measured in single red blood cells (540-660 amol/RBC) which was comparable to the calculated SI reference range for mean corpuscular hemoglobin (390-540 amol/RBC). Moreover, it was observed repeated measures using low input cell numbers (5-25 RBC) could be used as an alternative and less rigorous strategy (compared to single RBC analysis) to measure protein heterogeneity. This heterogeneity was observed when %CMV was repeatedly measured using low input RBCs (5-25 RBCs) in specimens obtained from N = 10 individuals with clinically measured HbA1c values. In conclusion, a rapid and relatively simplified protocol has been developed for targeted quantification of proteins to measure red blood cell heterogeneity.
DOI: 10.25345/c5sb3x89b
title: MassIVE MSV000094028 - LC-MS based Proteomics Analysis of aneuploid cells
title: Description Cells were cultured as described above and synchronized in G2/M phase by incubating them for 24 hours with 2mM thymidine and, subsequently, for 12 hours with STLC 10uM. From each culture, 106 cells were collected by mitotic shake off, centrifuged and pellets were washed twice with PBS. Cells were lysed in 200 ul lysis buffer (2% sodium deoxycholate (SDC), 0.1 M ammoniumbicarbonate) using strong ultra-sonication (two cycles of sonication S3 for 10 seconds, Hielscher Ultrasonicator). Protein concentration was determined by BCA assay (Thermo Fisher Scientific) using a small sample aliquot. 50ug of proteins were digested as described previously (Ahrne et al., 2016), reduced with 5 mM TCEP for 15 min at 95 C and alkylated with 10 mM iodoacetamide for 30 min in the dark at 25 C. After diluting samples with 100 mM ammonium bicarbonate buffer to a final DOC concentration of 1%, proteins were digested by incubation with sequencing-grade modified trypsin (1/50, w/w; Promega, Madison, Wisconsin) overnight at 37C. Then, the samples were acidified with 2 M HCl to a final concentration of 50 mM, incubated for 15 min at 37 C and the precipitated detergent removed by centrifugation at 10,000xg for 15 min. Subsequently, peptides were desalted on C18 reversed-phase spin columns according to the manufacturers instructions (Microspin, Harvard Apparatus) and dried under vacuum. The dried peptide samples were subsequently labeled with isobaric tags (TMT 10plex, Thermo Fisher Scientific) according to the manufacturers instructions. To control for ratio distortion during quantification, a peptide calibration mixture consisting of six digested standard proteins mixed in different amounts was added to each sample before TMT labeling as recently described (Ahrne et al., 2016). After pooling the TMT labeled peptide samples, peptides were again desalted on C18 reversed-phase spin columns according to the manufacturers instructions (Macrospin, Harvard Apparatus) and dried under vacuum. TMT-labeled peptides were fractionated by high-pH reversed phase separation using a XBridge Peptide BEH C18 column (3,5 um, 130 A, 1 mm x 150 mm, Waters) on an Agilent 1260 Infinity HPLC system. Peptides were loaded onto the column in buffer A (ammonium formate (20 mM, pH 10) in water) and eluted using a two-step linear gradient starting from 2% to 10% in 5 minutes and then to 50% (v/v) buffer B (90% acetonitrile / 10% ammonium formate (20 mM, pH 10) over 55 minutes at a flow rate of 42 ul/min. Elution of peptides was monitored with a UV detector (215 nm, 254 nm). A total of 36 fractions were collected, pooled into 12 fractions using a post-concatenation strategy as previously described (Wang et al., 2011), dried under vacuum and subjected to LC-MS/MS analysis. [doi:10.25345/C5NC5SP9X] [dataset license: CC0 1.0 Universal (CC0 1.0)]
DOI: 10.34740/kaggle/dsv/7575080
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.34740/kaggle/dsv/7575109
title: crypto-data-daily-updates
DOI: 10.3886/e193588v3-145903
title: Relationship Between Smartphone Usage and Sleep Quality & Mental Health of College Students During the COVID-19 Pandemic

description: The study explored the impact of smartphone usage patterns on sleep quality and mental health among 508 college students during the COVID-19 pandemic via PSQI. Findings showed no gender difference in sleep disorders. Activities like watching videos, gaming, and studying on phones were linked to higher sleep disturbances. Usage exceeding 30 minutes weekly and frequency over 4 times a week showed significant sleep issues. Activities like music, chatting, and social interactions had minimal sleep impact. The research emphasizes the need for strategies promoting healthy phone use and awareness of its effects on sleep and mental health.
DOI: 10.60955/qkh0-cx58
title: RECOVER: REaching patients with a COncussion Visiting the Emergency Room to enhance care
DOI: 10.60955/vp3k-4y63
title: EpUp Study: A Pilot Intervention for People with Epilepsy & Depression
DOI: 10.60955/mnwq-sq07
title: Integrated Biological Markers for the Prediction of Treatment Response in Depression
DOI: 10.60955/n327-cd87
title: Province of Ontario Neurodevelopmental Disorders Network (POND) Imaging Data