cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c54m91m4s
title: MassIVE MSV000091519 - 20230102_Human_Follicular_Fluid_LC-MS
title: Human follicular fluid samples were spiked with 50uM norepinephrine-D6. The 'spiked' sample was also spiked with 50uM norepinephrine. Samples were washed using a BondElut PBA column and analyzed using LC-MS on a Bruker timsTOF fleX.
DOI: 10.25345/c50v89s9j
title: MassIVE MSV000091520 - GNPS_MPRINT_Human_Milk_Admin_Supplement
title: Untargeted metabolomics on human milk samples from 2500 individuals deposited in the Mommy's Milk research biobank at UCSD
DOI: 10.5517/ccdc.csd.cc270qkk
title: CCDC 2056278: Experimental Crystal Structure Determination

description: Related Article: Rafik Saddik, Silvia A. Brandán, Salma Mortada, Cemile Baydere, Othmane Roby, Necmi Dege, Said Tighadouini, Mohamed Tahiri, My Abbes Faouzi, Khalid Karrouchi|2023|J.Mol.Struct.|1283|135283|doi:10.1016/j.molstruc.2023.135283
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.cc27kpj1
title: CCDC 2072583: Experimental Crystal Structure Determination

description: Related Article: M. Zeller, S. Bogdanowich-Knipp, P. Smith, D.K. Purcell, M. Okezue, D.T. Smith, S.R. Byrn, K.L. Clase|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|433|doi:10.1107/S2056989021002991
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.cc27kpk2
title: CCDC 2072584: Experimental Crystal Structure Determination

description: Related Article: M. Zeller, S. Bogdanowich-Knipp, P. Smith, D.K. Purcell, M. Okezue, D.T. Smith, S.R. Byrn, K.L. Clase|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|433|doi:10.1107/S2056989021002991
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: 10.3886/icpsr02883.v4
title: Civil Justice Survey of State Courts, 1996
title: Version 4

description: In 1996, the Bureau of Justice Statistics awarded a grant to the National Center for State Courts to gather detailed information on tort, contract, and real property rights trial cases in 45 jurisdictions chosen to represent the 75 most populous counties in the nation. The result is this survey, which is a systematic examination of civil trial cases disposed in state general jurisdiction courts. The study expands the 1992 civil jury study, CIVIL JUSTICE SURVEY OF STATE COURTS, 1992 (ICPSR 6587), by specifically sampling bench and jury trial cases. Information gathered includes the type of case, the presence of legal representation, the type of litigation, the amount of compensatory damages awarded, the amount of punitive damages awarded, and case processing time.
description: A two-stage stratified sample was drawn, with 45 of the 75 most populous counties selected at the first stage. The top 75 counties account for about 37 percent of the United States population and about half of all civil filings. The sample consisted of tort, contract, and real property rights cases disposed by trial between January and December 1996. For each sampled case, a standard coding form was manually completed by court staff on-site to record information about litigants, case type, processing time, and award amounts.
description: Datasets: DS0: Study-Level Files DS1: Main Data File for Part 1 DS2: FPC Factor for Wesvar PC Variance Estimation DS3: JKN Factor for Wesvar PC Variance Estimation
description: Tort, contract, and real property cases in the 75 most populous counties in the United States.
description: The data collection contains 100 replicate weight variables (REPWT1 to REPWT100) appropriate for calculating sampling errors using the Wesvar PC variance estimation program, plus two variables, VARSTRAT and VARUNIT, that were developed as part of the processing for creating the replicate weights. The replicate weights were created by the jackknife method and the user must specify the JKN variance estimation procedure when using Wesvar PC. The JKN variance estimation procedure will not work correctly unless two factor files are attached to the Wesvar file. Users should download da2883.p2 and da2883.p3, change the file names to fpc96.txt and jknf96.txt, and attach both files to the Wesvar data file. In addition, the degrees of freedom should be set at 81 in Wesvar (100 replicate weights, 19 varstrat units) in order to calculate the correct confidence intervals.
DOI: 10.3886/icpsr03355.v8
title: Recidivism of Prisoners Released in 1994
title: Version 8

description: RECIDIVISM OF PRISONERS RELEASED IN 1994 is a database containing information on each of 38,624 sampled prisoners released from prisons in 15 states in 1994 and tracked for three years following their release. The majority of the database consists of information on each released prisoner's entire officially recorded criminal history (before and after the 1994 release). Sources for criminal history information are state and FBI automated RAP ("Records of Arrests and Prosecutions") sheets, which contain records of arrests, adjudications, and sentences. The study is the second major recidivism study conducted by the Bureau of Justice Statistics. The first study, RECIDIVISM AMONG RELEASED PRISONERS, 1983: [UNITED STATES] (ICPSR 8875), tracked over 16,000 prisoners released in 11 states in 1983 for three years. These two studies are the closest approximation to "national" recidivism studies in the United States. They are distinguished by their large sample size (over 16,000 released prisoners in the first study, 38,624 in the second), geographic breadth of coverage (11 states in the first study, 15 in the second), length of prospective tracking (three years from date of release in both studies), ability to track the movement of released prisoners across state boundaries (both studies), and multiple measures of recidivism (both studies). Demographic data include race, ethnicity, sex, and date of birth.
description: The following 15 state Departments of Corrections participated in the study: Arizona, California, Delaware, Florida, Illinois, Maryland, Michigan, Minnesota, New Jersey, New York, North Carolina, Ohio, Oregon, Texas, and Virginia. These departments supplied Bureau of Justice Statistics (BJS) with information on each person released from prison in the state in 1994 (Note: Illinois releases are for fiscal year 1994 rather than calendar year 1994). These 15 states were chosen as a purposive sample, based on willingness to participate, the state's relative contribution to the overall national prison population, and the state's inclusion in the earlier study of recidivism conducted by BJS in 1983 (see ICPSR 8875). The 15 states supplied BJS with release records on 302,309 prisoners released in 1994, approximately two-thirds of all prisoners released in the nation. Using these records, the researchers drew a representative sample from each state, totaling 38,624 out of the 302,309 released prisoners, stratified by most serious conviction offense. More detailed information regarding sampling procedures can be found in the codebook that accompanies this data collection.
description: Datasets: DS1: Recidivism of Prisoners Released in 1994
description: Prisoners released during 1994 in the 15 states that the study covered. The 15 states account for about two-thirds of releases in the United States in a given year. Smallest Geographic Unit: state
DOI: 10.48490/zcxe-3h94
title: AR6 SROCC Data for Figure SPM.3(d): Risk assessment "burning embers" for ocean ecosystems
DOI: 10.48490/v9cd-2r25
title: AR6 WGII Data for Figure SPM.3(b): Risk assessment "burning embers" for Reasons for Concern
DOI: 10.48490/rz8r-rj78
title: AR6 WGII Data for Figure SPM.3(c): Risk assessment "burning embers" for terrestrial and freshwater ecosystems
DOI: 10.48490/abv3-2255
title: AR6 WGII Data for Figure SPM.3(d): Risk assessment "burning embers" for ocean ecosystems.
DOI: 10.48490/qrw3-xy90
title: AR6 WGII Data for Figure SPM.3(e): Risk assessment "burning embers" for climate sensitive health outcomes under three adaptation scenarios
DOI: 10.48490/ax2a-1r90
title: AR6 WGII Data for Figure SPM.3(f): Risk assessment "burning embers". Examples of regional key risks.
DOI: 10.6084/m9.figshare.22310827
title: Sanitation and Wastewater Management Data.xlsx

description: <sub> </sub> <sub>------------------------------------------------------------------------------------------</sub> <sub>Attributes Levels Definitions code</sub> <sub>-------------------------------------------------------------------------------------------------------------------------------------------water Minimizing the fecal</sub> <sub>Contamination (CO) contamination in Groundwater 1</sub> <sub>Ground water Contamination ----------------------------------------------------------------------------------------------- </sub> <sub>No Change No change in the groundwater -1</sub> <sub>quality</sub> <sub>------------------------------------------------------------------------------------------------------------------------------------------ </sub> <sub>Low – Maintenance Reduction in the effort or money to</sub> <sub>(MA) maintain 1</sub> <sub>Maintenance ------------------------------------------------------------------------------------------------</sub> <sub>No Change Maintain the current sanitation -1</sub> <sub>system</sub> <sub>------------------------------------------------------------------------------------------------------------------------------------------- </sub> <sub>Increase in space availability Provide enough space for the</sub> <sub>(SP) households 1</sub> <sub>Space availability -----------------------------------------------------------------------------------------------</sub> <sub>No change Maintain the current sanitation </sub> <sub>system -1</sub> <sub>------------------------------------------------------------------------------------------------------------------------------------------ </sub> <sub>Improvement in environmental Increase in the quality of</sub> <sub>quality (EN) environment in neighborhood 1</sub> <sub>Environmental quality ----------------------------------------------------------------------------------------------- </sub> <sub>No change Maintain the current sanitation </sub> <sub>system -1</sub> <sub>------------------------------------------------------------------------------------------------------------------------------------------- </sub> <sub>Household sewerage charge 250: 500: 750: 1000 LKR Monthly payment to local</sub> <sub> government authority (Municipal</sub> <sub>Council)</sub> <sub>-------------------------------------------------------------------------------------------------------------------------------------------</sub> <br> Variables <br> Descriptions <br> Unit Age1 <br> Age <br> 1 if household’s age is ≤ 40 years Otherwise 0 Income1 <br> Income level <br> 1 if monthly income is greater than LKR 25,0000 0 if monthly income is LKR 25,000 and less Education 1 <br> Education level <br> 1 if household’s education &lt; 10th grade Otherwise 0 Gender <br> Gender type <br> 1 if household is male 0 if household is female Area1 <br> Land extent <br> 1 if household’s land area is &lt; 7.5 perch 0 if household’s land area is 7.5 perch and more DS1 <br> DS division <br> 1 if household lives in Nallur Ds division 0 if household lives in Jaffna Ds division <br>
DOI: 10.34943/9397d013-2b2c-47b9-b704-9754d72b2128
title: Bullseye Tiltmeter Deployed 2017-06-14

description: The RBRconcerto Tilt Meter ACC.BPR 63055 was deployed on 2017-06-14 at Bullseye. Bullseye is a location at Clayoquot Slope, where gas hydrates, seafloor cold seeps, and hydrate dynamics are observed. This device is a Tiltmeter. A tiltmeter is a sensitive inclinometer designed to measure very small changes from the vertical level, either on the ground or in structures. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.22312042
title: PRISMA Checklist_Kirby et al 2023_Association between circulating inflammatory biomarkers and functional outcome or perihematomal oedema after ICH

description: PRISMA Checklist related to Kirby et al., 2023 'Association between circulating inflammatory biomarkers and functional outcome or perihematomal oedema after ICH: a systematic review & meta-analysis'.
DOI: 10.6084/m9.figshare.22312042.v1
title: PRISMA Checklist_Kirby et al 2023_Association between circulating inflammatory biomarkers and functional outcome or perihematomal oedema after ICH

description: PRISMA Checklist related to Kirby et al., 2023 'Association between circulating inflammatory biomarkers and functional outcome or perihematomal oedema after ICH: a systematic review & meta-analysis'.
DOI: 10.34943/68f8463a-48b2-492f-8d9e-4bca35aaf956
title: ODP 1026 Broadband Seismometer Deployed 2010-10-06

description: The Guralp CMG-IT Broadband Seismometer 2533 was deployed on 2010-10-06 at ODP 1026. ODP 1026 is a borehole site used to pinpoint an area within Cascadia. This device is a Broadband Seismometer. Broadband Seismometers measure seismic waves over a broad frequency range depending on the device (e.g. 0.00278 Hz - 250 Hz). A broadband seismometer facilitates measurement of seismic events in the widest frequency band possible. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.48490/r6ge-w892
title: AR6 WGII Data for Figure TS.4(b): Risk assessment "burning embers" for Reasons for Concern
DOI: 10.48490/dee3-f597
title: AR6 WGII Data for Figure TS.4(c): Risk assessment "burning embers" for terrestrial and freshwater ecosystems
DOI: 10.48490/90w4-5k91
title: AR6 WGII Data for Figure TS.4(d): Risk assessment "burning embers" for ocean ecosystems.
DOI: 10.3886/icpsr03415.v4
title: Federal Court Cases: Integrated Data Base, 2001
title: Version 4

description: The purpose of this data collection is to provide an official public record of the business of the federal courts. The data originate from 94 district and 12 appellate court offices throughout the United States. Information was obtained at two points in the life of a case: filing and termination. The termination data contain information on both filing and terminations, while the pending data contain only filing information. For the appellate and civil data, the unit of analysis is a single case. The unit of analysis for the criminal data is a single defendant.
description: Datasets: DS0: Study-Level Files DS1: Appellate Terminations Data with Docket Numbers Blanked DS2: Appellate Terminations Data with Docket Numbers Containing Original Values DS3: Civil Terminations with Docket Numbers, PLT and DEF Blanked DS4: Civil Terminations with Docket Numbers, PLT and DEF Containing Original Values DS5: Criminal Data with Docket Numbers Blanked DS6: Criminal Data with Docket Numbers Containing Original Values
description: All federal court cases in the United States in 2001. Smallest Geographic Unit: County
description: Starting with the year 2001, each year of data for Federal Court Cases is released by ICPSR as a separate study number. Federal Court Cases data for the years 1970-2000 can be found in FEDERAL COURT CASES: INTEGRATED DATA BASE, 1970-2000 (ICPSR 8429).The codebook is provided by ICPSR as a Portable Document Format (PDF) file. PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.
DOI: 10.48490/h4bc-e829
title: AR6 WGII Data for Figure TS.4(e): Risk assessment "burning embers" for climate sensitive health outcomes under three scenarios of adaptation effectiveness under SSPs.
DOI: 10.48490/hatj-fn12
title: AR6 WGII Data for Figure TS.4(f): Risk assessment "burning embers". Examples of regional key risks.
DOI: 10.48490/t0yb-3k38
title: AR6 WGII Data for Figure TS.5(b): Global distribution of biodiversity exposed
DOI: 10.3886/icpsr03957.v3
title: Civil Justice Survey of State Courts, 2001
title: Version 3

description: This data collection examined general civil cases (torts, contracts, and real property) disposed of by bench or jury trial in the nation's 75 most populous counties in 2001. Information reported includes the type of case, types of plaintiffs and defendants, trial winners, amount of total damages awarded, amount of punitive damages awarded, and case processing time. This is the third in a series of data collections begun in 1992: CIVIL JUSTICE SURVEY OF STATE COURTS, 1992 (ICPSR 6587), and CIVIL JUSTICE SURVEY OF STATE COURTS, 1996 (ICPSR 2883).
description: A two-stage stratified sample was drawn, with 46 of the 75 most populous counties selected at the first stage. The top 75 counties account for about 37 percent of the United States population and about half of all civil filings. The sample consisted of tort, contract, and real property rights cases disposed by trial between January and December 2001. For each sampled case, a standard coding form was manually completed by court staff on-site to record information about litigants, case type, processing time, and award amounts.
description: Datasets: DS0: Study-Level Files DS1: Main Data DS2: FPC Factor for Wesvar PC Variance Estimation Program DS3: JKN Factor for Wesvar PC Variance Estimation Program
description: Tort, contract, and real property cases in the 75 most populous counties in the United States.
description: Replicate Weights: The data set contains 100 replicate weight variables (REPWT1 to REPWT100) appropriate for calculating sampling errors using the Wesvar PC variance estimation program, plus two variables, VARSTRAT and VARUNIT, that were developed as part of the processing for creating the replicate weights. The replicate weights were created by the jackknife method and the user must specify the JKN variance estimation procedure when using Wesvar PC. Note on the JKN and FPC factors required for JKN variance estimation: In order for the JKN procedure to work correctly, it is necessary to attach two files of factors to the Wesvar file. These are the FPC and JKN factors. Both files are included under this study, named da3957.p2 and da3957.p3. Users should download both files, change the file name of da3957.p2 to fpc.txt and da3957.p3 to jknfact.dat, and attach both files to the Wesvar data file. In addition, the degrees of freedom should be set at 81 in Wesvar (100 replicate weights -- 19 varstrat units) in order to calculate the correct confidence intervals.
DOI: 10.48490/x7nd-y756
title: AR6 SROCC Risk Assessment: Ocean ecosystems
DOI: 10.48490/hg4w-fy76
title: AR6 WGII Risk Assessment: Climate sensitive health outcomes under three adaptation scenarios
DOI: 10.48490/s3ns-b490
title: AR6 WGII Risk Assessment: Africa
DOI: 10.48490/tfq2-9814
title: AR6 WGII Risk Assessment: Australasia
DOI: 10.48490/gstt-m254
title: AR6 WGII Risk Assessment: Europe
DOI: 10.48490/2y5b-6780
title: AR6 WGII Risk Assessment: Mediterranean
DOI: 10.48490/pf72-jk72
title: AR6 WGII Risk Assessment: North America
DOI: 10.48490/tzg5-hn92
title: AR6 WGII Risk Assessment: Polar Regions
DOI: 10.34740/kaggle/dsv/5209432
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.5281/zenodo.5719452
title: dMRI data from the PRIME-DE processed by mrHARDIflow

description: This dataset contains processed diffusion MRI data of primate subjects, DTI<sup>[1]</sup>, DIAMOND<sup>[2]</sup> and fODF<sup>[3]</sup> reconstruction and metrics. Subjects included in the dataset come from 3 sites of the PRIME-DE<sup>[4]</sup> database, specifically Aix-Marseille, UC-Davis and Mount Sinai - Philips. The data was processed using mrHARDIflow<sup>[5]</sup>, a pipeline tailored to process high resolution diffusion data. Please, cite the paper, as well as the PRIME-DE paper, if you use any data available here in your research. LeBihan, D., Mangin, J.-F., Poupon, C., Clark, C. A., Pappata, S., Molko, N., et al. (2001). Diffusion tensor imaging: Concepts and applications. Journal of Magnetic Resonance Imaging 13, 534–546. doi:10.1002/jmri.1076 Scherrer, B., Schwartzman, A., Taquet, M., Sahin, M., Prabhu, S. P., and Warfield, S. K. (2016). Characterizing brain tissue by assessment of the distribution of anisotropic microstructural environments in diffusion-compartment imaging (diamond). Magnetic Resonance in Medicine 76, 963–977. doi:10.1002/mrm.25912 Tournier, J.-D., Calamante, F., and Connelly, A. (2007). Robust determination of the fibre orientation distribution in diffusion mri: Non-negativity constrained super-resolved spherical deconvolution. NeuroImage 35, 1459–1472. doi:10.1016/j.neuroimage.2007.02.016 Milham, M. P., Ai, L., Koo, B., Xu, T., Amiez, C., Balezeau, F., et al. (2018). An open resource for non-human primate imaging. Neuron 100, 61–74. doi:10.1016/j.neuron.2018.08.039 Valcourt Caron, A., Shmuel, A., Hao, Z., and Descoteaux, M. (2021). mrHARDIflow : A pipeline tailored for the preprocessing and analysis of Multi-Resolution High Angular diffusion MRI and its application to a variability study of the PRIME-DE database. bioRxiv. doi:10.1101/2021.11.22.469616
description: {"references": ["Valcourt Caron, A., Shmuel, A., Hao, Z., and Descoteaux, M. (2021). mrHARDIflow : A pipeline tailored for the preprocessing and analysis of Multi-Resolution High Angular diffusion MRI and its application to a variability study of the PRIME-DE database. bioRxiv. doi:10.1101/2021.11.22.469616"]}