cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24v99m
title: CCDC 1991480: Experimental Crystal Structure Determination

description: Related Article: Priyanka Yadav, Abhineet Verma, Vishal Prasad Sharma, Rashmi Singh, Tarun Yadav, Ranjeet Kumar, Shiv Pal, Hariom Gupta, Satyen Saha, Ashish K. Tewari|2022|New J.Chem.|46|5830|doi:10.1039/D2NJ00083K
DOI: 10.5517/ccdc.csd.cc24v9kw
title: CCDC 1991488: Experimental Crystal Structure Determination

description: Related Article: Priyanka Yadav, Abhineet Verma, Vishal Prasad Sharma, Rashmi Singh, Tarun Yadav, Ranjeet Kumar, Shiv Pal, Hariom Gupta, Satyen Saha, Ashish K. Tewari|2022|New J.Chem.|46|5830|doi:10.1039/D2NJ00083K
DOI: 10.5517/ccdc.csd.cc28ywz3
title: CCDC 2114106: Experimental Crystal Structure Determination

description: Related Article: Aleksandra Ziółkowska, Natalia Szynkiewicz, Łukasz Ponikiewski|2022|RSC Advances|12|10989|doi:10.1039/D1RA09215D
DOI: 10.5517/ccdc.csd.cc28yx05
title: CCDC 2114107: Experimental Crystal Structure Determination

description: Related Article: Aleksandra Ziółkowska, Natalia Szynkiewicz, Łukasz Ponikiewski|2022|RSC Advances|12|10989|doi:10.1039/D1RA09215D
DOI: 10.5517/ccdc.csd.cc29dq3k
title: CCDC 2127378: Experimental Crystal Structure Determination

description: Related Article: Yan-Li Gao, Shiqing Bi, Yufei Wang, Jian Li, Ting Su, Xuchun Gao|2022|RSC Advances|12|11047|doi:10.1039/D2RA01080A
DOI: 10.5517/ccdc.csd.cc29byzl
title: CCDC 2125700: Experimental Crystal Structure Determination

description: Related Article: Meng-Juan Yang, Shu-Yu Tang, Yan-Ran Weng, Feng Zhou, Yu Shi, Yong-Ju Bai, Yong Ai|2022|Inorg.Chem.|61|5836|doi:10.1021/acs.inorgchem.2c00099
DOI: 10.5517/ccdc.csd.cc29byyk
title: CCDC 2125699: Experimental Crystal Structure Determination

description: Related Article: Meng-Juan Yang, Shu-Yu Tang, Yan-Ran Weng, Feng Zhou, Yu Shi, Yong-Ju Bai, Yong Ai|2022|Inorg.Chem.|61|5836|doi:10.1021/acs.inorgchem.2c00099
DOI: 10.5517/ccdc.csd.cc29bz0n
title: CCDC 2125701: Experimental Crystal Structure Determination

description: Related Article: Meng-Juan Yang, Shu-Yu Tang, Yan-Ran Weng, Feng Zhou, Yu Shi, Yong-Ju Bai, Yong Ai|2022|Inorg.Chem.|61|5836|doi:10.1021/acs.inorgchem.2c00099
DOI: 10.5517/ccdc.csd.cc29wk6z
title: CCDC 2141641: Experimental Crystal Structure Determination

description: Related Article: Masafumi Ueda, Yasuhiro Mazaki|2022|RSC Advances|12|10870|doi:10.1039/D2RA00489E
DOI: 10.5517/ccdc.csd.cc29wk70
title: CCDC 2141642: Experimental Crystal Structure Determination

description: Related Article: Masafumi Ueda, Yasuhiro Mazaki|2022|RSC Advances|12|10870|doi:10.1039/D2RA00489E
DOI: 10.5517/ccdc.csd.cc29wk81
title: CCDC 2141643: Experimental Crystal Structure Determination

description: Related Article: Masafumi Ueda, Yasuhiro Mazaki|2022|RSC Advances|12|10870|doi:10.1039/D2RA00489E
DOI: 10.5517/ccdc.csd.cc2b09l8
title: CCDC 2145249: Experimental Crystal Structure Determination

description: Related Article: Ryan W. F. Kerr, Charlotte K. Williams|2022|J.Am.Chem.Soc.|144|6882|doi:10.1021/jacs.2c01225
DOI: 10.5517/ccdc.csd.cc2b8xm5
title: CCDC 2153527: Experimental Crystal Structure Determination

description: Related Article: Masafumi Ueda, Yasuhiro Mazaki|2022|RSC Advances|12|10870|doi:10.1039/D2RA00489E
DOI: 10.5517/ccdc.csd.cc2b8xn6
title: CCDC 2153528: Experimental Crystal Structure Determination

description: Related Article: Masafumi Ueda, Yasuhiro Mazaki|2022|RSC Advances|12|10870|doi:10.1039/D2RA00489E
DOI: 10.5517/ccdc.csd.cc2b8xp7
title: CCDC 2153529: Experimental Crystal Structure Determination

description: Related Article: Masafumi Ueda, Yasuhiro Mazaki|2022|RSC Advances|12|10870|doi:10.1039/D2RA00489E
DOI: 10.5517/ccdc.csd.cc2bmc6k
title: CCDC 2163558: Experimental Crystal Structure Determination

description: Related Article: Aleksandra Ziółkowska, Natalia Szynkiewicz, Łukasz Ponikiewski|2022|RSC Advances|12|10989|doi:10.1039/D1RA09215D
DOI: 10.5281/zenodo.6438445
title: Estimating historical air-sea CO2 fluxes: Incorporating physical knowledge within a data-only approach

description: Reconstructed surface ocean pCO2 and air-sea CO2 fluxes for 1990-2019 using the pCO2-Residual Approach (JAMES 2021MS002960, in review) Surface ocean pCO2 (spo2) and resulting estimates of the air-sea CO2 flux (fCO2) are included in the netcdf file at monthly temporal resolution and for 1x1 grid cell spatial resolution. SeaFlux (https://zenodo.org/record/5482547#.YlT72y-B0_U) variables are used to calculate the fluxes from surface ocean pCO2.
DOI: 10.5281/zenodo.6438444
title: Estimating historical air-sea CO2 fluxes: Incorporating physical knowledge within a data-only approach

description: Reconstructed surface ocean pCO2 and air-sea CO2 fluxes for 1990-2019 using the pCO2-Residual Approach (JAMES 2021MS002960, in review) Surface ocean pCO2 (spo2) and resulting estimates of the air-sea CO2 flux (fCO2) are included in the netcdf file at monthly temporal resolution and for 1x1 grid cell spatial resolution. SeaFlux (https://zenodo.org/record/5482547#.YlT72y-B0_U) variables are used to calculate the fluxes from surface ocean pCO2.
DOI: 10.3886/icpsr24644.v1
title: National Crime Victimization Survey: Unbounded Data, 2006 [Record-Type Files]
title: Version 1

description: The National Crime Victimization Survey: Unbounded Data (also referred to as the All Rotations Data) are now being made available to the public for analytic use. These data differ from the "regular" National Crime Victimization Survey (NCVS) data in that they contain the first interview with respondents. The National Crime Victimization Survey Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected to enable analysis of crime by various subpopulations.
description: The data files include three weight variables: household, person, and incident. To use the weights correctly they must be adjusted. See the codebook for information on how to adjust the weights to calculate household, population, and victimization estimates.
description: Stratified multistage cluster sample.
description: Datasets: DS0: Study-Level Files DS1: Address Record-Type File DS2: Household Record-Type File DS3: Person Record-Type File DS4: Incident Record-Type File DS5: 2006 Incident-Level Extract File
description: All persons in the United States aged 12 and over. Smallest Geographic Unit: region
description: computer-assisted telephone interview (CATI); face-to-face interviewThe NCVS data are organized by year, with six collection quarters comprising an annual file: the four quarters of the current year plus the first two quarters of the following year.
DOI: 10.5281/zenodo.6478448
title: ACUTE OF NIV ON PERIPHERAL MUSCLE FUNCTION AND AEROBIC PERFORMANCE IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE: A PILOT STUDY.

description: Database
DOI: 10.5281/zenodo.6478447
title: ACUTE OF NIV ON PERIPHERAL MUSCLE FUNCTION AND AEROBIC PERFORMANCE IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE: A PILOT STUDY.

description: Database
DOI: 10.5281/zenodo.6478476
title: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. SAṂKHYA

description: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. SAṂKHYA
DOI: 10.5281/zenodo.6478475
title: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. SAṂKHYA

description: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. SAṂKHYA
DOI: 10.5281/zenodo.6478480
title: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. VEDĀNTA

description: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. VEDĀNTA
DOI: 10.5281/zenodo.6478479
title: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. VEDĀNTA

description: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. VEDĀNTA
DOI: 10.6084/m9.figshare.14384936.v1
title: Beaver Relocation Hydro Data

description: These data are associated with the article <br> Relocated beaver can increase water storage and decrease stream temperature in headwater streams
DOI: 10.6084/m9.figshare.14384936
title: Beaver Relocation Hydrological Data

description: These data are associated with the article <br> Relocated beaver can increase water storage and decrease stream temperature in headwater streams
DOI: 10.6084/m9.figshare.14384936.v2
title: Beaver Relocation Hydrologic Data

description: These data are associated with the article <br> Relocated beaver can increase water storage and decrease stream temperature in headwater streams
DOI: 10.5281/zenodo.6478486
title: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. YOGA

description: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. YOGA
DOI: 10.5281/zenodo.6478485
title: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. YOGA

description: GRETIL - Göttingen Register of Electronic Texts in Indian Languages. YOGA
DOI: 10.6084/m9.figshare.19638630
title: Raw counts, BCR sequences, and TCR sequences for 2021 neurosarcoid scRNA-Seq project

description: The linked paper describes single-cell RNA-Seq analysis of neurosarcoidosis that was either active or inactive compared to individuals without sarcoidosis. These are the raw counts (barcodes, genes, matrix files) for the single-cell RNA-Seq data, along with the TCR and BCR sequences derived from these individuals. The analysis details can be found in the GitHub repository referenced in the linked paper.
DOI: 10.3886/icpsr24901.v2
title: Chinese Longitudinal Healthy Longevity Survey (CLHLS), 1998-2005
title: Version 2

description: The Chinese Longitudinal Healthy Longevity Survey (CLHLS) provides information on health status and quality of life of the elderly aged 65 and older in 22 provinces of China in the period 1998 to 2005. The study was conducted to shed light on the determinants of healthy human longevity and oldest-old mortality. To this end, data were collected on a larger percentage of the oldest population, including centenarian and nonagenarian, than had previously been studied. The CLHLS provides information on the health, socioeconomic characteristics, family, lifestyle, and demographic profile of this aged population. Data are provided on respondents' health conditions, daily functioning, self-perceptions of health status and quality of life, life satisfaction, mental attitude, and feelings about aging. Respondents were asked about their diet and nutrition, use of medical services, and drinking and smoking habits, including how long ago they quit either or both. They were also asked about their physical activities, reading habits, television viewing, and religious activities, and were tested for motor skills, memory, and visual functioning. In order to ascertain their current state of health, respondents were asked if they suffered from such health conditions as hypertension, diabetes, heart disease, stroke, cancer, emphysema, asthma, tuberculosis, cataracts, glaucoma, gastric or duodenal ulcer, arthritis, Parkinson's disease, bedsores, or other chronic diseases. They were also asked if they needed assistance with bathing, dressing, toileting, or feeding, and who provided help in times of illness. Other questions focused on siblings, parents, and children, the frequency of family visits, and the distance lived from each other. Demographic items specify age, sex, ethnicity, place of birth, marital history and status, history of childbirth, living arrangements, education, main occupation before age 60, and sources of financial support.
description: Response Rates: The response rate was 88 percent.
description: Presence of Common Scales: Mini-Mental State Examination (MMSE) Activities of Daily Living (ADL)
description: All centenarians from the randomly selected counties and cities of 22 provinces in China who agreed to participate in the study. For each centenarian, one octogenarian aged 80-89 living nearby, one nearby nonagenarian aged 90-99, and one nearby younger elder aged 65-79 of predesignated age and sex were interviewed.
description: Datasets: DS0: Study-Level Files DS1: 1998-2005 Longitudinal Data, Version 1 DS2: 2000-2005 Longitudinal Data, Version 1 DS3: 2002-2005 Longitudinal Data, Version 1 DS4: 2005 Cross-Sectional Data, Version 1
description: The most elderly population in the counties and cities of 22 provinces in China during the period 1998-2005. Smallest Geographic Unit: county
description: computer-assisted self interview (CASI); face-to-face interview; self-enumerated questionnaire
DOI: 10.5517/ccdc.csd.cc29647x
title: CCDC 2121058: Experimental Crystal Structure Determination

description: Related Article: Jing-Zhe Wang, Xing-Ping Fu, Qing-Yan Liu, Ling Chen, Lan-Ping Xu, Yu-Ling Wang|2022|Inorg.Chem.|61|5737|doi:10.1021/acs.inorgchem.1c03740
DOI: 10.5517/ccdc.csd.cc29bpn0
title: CCDC 2125442: Experimental Crystal Structure Determination

description: Related Article: Shen Qiao, Jianhua Wang, Yanwu Yu, Yucun Liu, Zongwei Yang, Hongzhen Li|2022|CrystEngComm|24|2948|doi:10.1039/D2CE00025C
DOI: 10.5517/ccdc.csd.cc29bpp1
title: CCDC 2125443: Experimental Crystal Structure Determination

description: Related Article: Shen Qiao, Jianhua Wang, Yanwu Yu, Yucun Liu, Zongwei Yang, Hongzhen Li|2022|CrystEngComm|24|2948|doi:10.1039/D2CE00025C
DOI: 10.5517/ccdc.csd.cc29bztg
title: CCDC 2125726: Experimental Crystal Structure Determination

description: Related Article: Jing-Zhe Wang, Xing-Ping Fu, Qing-Yan Liu, Ling Chen, Lan-Ping Xu, Yu-Ling Wang|2022|Inorg.Chem.|61|5737|doi:10.1021/acs.inorgchem.1c03740
DOI: 10.5517/ccdc.csd.cc29jgy8
title: CCDC 2131000: Experimental Crystal Structure Determination

description: Related Article: Yi-Rong Li, Yun-Fang Zhang, Yuan-Yuan Tang, Han-Yue Zhang|2022|Chem.Commun.|58|5148|doi:10.1039/D2CC00818A
DOI: 10.5517/ccdc.csd.cc2b8ysc
title: CCDC 2153563: Experimental Crystal Structure Determination

description: Related Article: Ebru Keskin, Ummuhan Solmaz, Ilkay Gumus, Hakan Arslan|2022|Polyhedron|219|115786|doi:10.1016/j.poly.2022.115786
DOI: 10.5517/ccdc.csd.cc2b9dhk
title: CCDC 2153988: Experimental Crystal Structure Determination

description: Related Article: Karolina Gutmańska, Anna Ciborska, Zbigniew Hnatejko, Anna Dołęga|2022|Polyhedron|220|115831|doi:10.1016/j.poly.2022.115831
DOI: 10.5517/ccdc.csd.cc2bcd9f
title: CCDC 2155904: Experimental Crystal Structure Determination

description: Related Article: Jia-Qi Chu, Li Li, Lin Liu, Zheng-Bo Han|2022|Inorg.Chem.Commun.|140|109431|doi:10.1016/j.inoche.2022.109431
DOI: 10.5517/ccdc.csd.cc290f0s
title: CCDC 2115564: Experimental Crystal Structure Determination

description: Related Article: Sk Khalid Rahaman, Mukti Mohammad, Rajibul Arif Laskar, Masoom Raza Siddiqui, Saikh Mohammad Wabaidur, Md Ataul Islam, Seikh Mafiz Alam, Faruk Ahmed, Md. Maidul Islam, Mohammad Hedayetullah Mir|2022|Polyhedron|219|115813|doi:10.1016/j.poly.2022.115813
DOI: 10.5281/zenodo.6478270
title: MD simulation of the crystal unit cell of the second PDZ domain of LNX2 protein

description: This molecular dynamics simulation data is provided as part of the manuscript "<strong>LAWS: Local Alignment for Water Sites - a method to analyze crystallographic water in simulations</strong>". The code for the algorithm is provided: on github<br> <br> The system contains one unit cell of the crystal (PDB ID: 5E11) with 4 symmetrically related protein chains. The total simulation length is 1 microsecond. <strong>Force field + water model</strong>: CHARMM36m + CHARMM-modified TIP3P<br> <strong>Number of atoms</strong>: 9650<br> <strong>Number of time frames:</strong> 100,000 with 10-ps stride<br> <em>The details of the simulations are provided in the manuscript.</em>
DOI: 10.5281/zenodo.6478269
title: MD simulation of the crystal unit cell of the second PDZ domain of LNX2 protein

description: This molecular dynamics simulation data is provided as part of the manuscript "<strong>LAWS: Local Alignment for Water Sites - a method to analyze crystallographic water in simulations</strong>". The code for the algorithm is provided: on github<br> <br> The system contains one unit cell of the crystal (PDB ID: 5E11) with 4 symmetrically related protein chains. The total simulation length is 1 microsecond. <strong>Force field + water model</strong>: CHARMM36m + CHARMM-modified TIP3P<br> <strong>Number of atoms</strong>: 9650<br> <strong>Number of time frames:</strong> 100,000 with 10-ps stride<br> <em>The details of the simulations are provided in the manuscript.</em>
DOI: 10.25345/c54x54m15
title: MassIVE MSV000089301 - Functional partitioning of transcriptional regulators by patterned charge blocks
title: GFP-MED1-IDR forms condensates when added to a soluble nuclear extract. Centrifugation fractionates the extract into a pellet fraction containing the proteins partitioned into MED1-IDR condensates and supernatant fraction containing proteins excluded from the MED1-IDR condensates. Two independent supernatant (LUM1_854558, LUM1_854560) and pellet (LUM1_854559, LUM1_854561) fractions were collected and subject to proteomic analysis to identify protein enriched in MED1-IDR condensates.
DOI: 10.3886/icpsr25141.v3
title: National Crime Victimization Survey, 2007 [Record-Type Files]
title: Version 3

description: The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations.
description: The data files include several weight variables used to calculate national estimates of: households, persons, victimizations, and incidents. The codebook describes how to use the weights.
description: Stratified multistage cluster sample.
description: Datasets: DS0: Study-Level Files DS1: Address Record-Type File DS2: Household Record-Type File DS3: Person Record-Type File DS4: Incident Record-Type File DS5: 2007 Incident-Level Extract File
description: All persons in the United States aged 12 and over. Smallest Geographic Unit: region
description: computer-assisted telephone interview (CATI); face-to-face interview; telephone interviewThe 2007 Incident-Level Extract File was created from the record-type files and includes information on victims of crime. Nonvictims are not included. Records were extracted from the Incident Record-Type File and bounded by the year that the incident occurred. These records were then merged to their parent records from the Person Record-Type and Household Record-Type files.The data were collected by the United States Department of Commerce, Bureau of the Census.
DOI: 10.6084/m9.figshare.14047052
title: Constraint programming approach for multi-resource-constrained unrelated parallel machine scheduling problem with sequence-dependent setup times

description: This paper studies the multi-resource-constrained unrelated parallel machine scheduling problem under various operational constraints with the objective of minimising maximum completion time among the scheduled jobs. Sequence-dependent setup times, precedence relations, machine eligibility restrictions and release dates are incorporated into the problem as operational constraints to reflect real-world manufacturing environments. The considered problem is in NP-hard class of problems, which cannot be solved in deterministic polynomial time. Our aim in this study is to develop an exact solution approach based on constraint programming (CP), which shows good performance in solving scheduling problems. In this regard, we propose a CP model and enrich this model by adding lower bound restrictions and redundant constraints. Moreover, to achieve a reduction in computation time, we propose two branching strategies for the proposed CP model. The performance of the CP model is tested using randomly generated and benchmark instances from the literature. The computational results indicate that the proposed CP model outperforms the best solutions with an average gap of 15.52%.