cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr38801
title: Uniform Crime Reporting Program Data: Property Stolen and Recovered, United States, 2021
title: Archival Version

description: The UNIFORM CRIME REPORTING PROGRAM DATA: PROPERTY STOLEN AND RECOVERED, UNITED STATES, 2021 file (also known as the Supplement to Return A) is collected at the agency level and includes detailed monthly data on the nature of crime and the value and type of property stolen and recovered incident to each crime. The Return A Supplement requires that a value be established for property stolen and recovered in each Crime Index category except aggravated assault. It is designed to record the value of property stolen and recovered in the following eleven classifications: Currency/notes, Jewelry and Precious Metals, Clothing and Furs, Locally Stolen Motor Vehicles, Office Equipment, Televisions/Radios, Firearms, Household Goods, Consumable Goods, Livestock, and Miscellaneous. The determination of the value of property stolen is an obligation of the investigating officer, and such information is essential to assure the completeness of a law enforcement investigative report on stolen property. The data were originally assembled by the Federal Bureau of Investigation (FBI) from reports submitted by agencies participating in the UCR. The ICPSR file was processed from Return A Supplement files provided by the FBI.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Property Stolen and Recovered, United States, 2021
description: Property crimes reported by law enforcement agencies in the United States.
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Property Stolen and Recovered data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: 1975-1997 (ICPSR 9028).These studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.3886/icpsr38801.v1
title: Uniform Crime Reporting Program Data: Property Stolen and Recovered, United States, 2021
title: Version 1

description: The UNIFORM CRIME REPORTING PROGRAM DATA: PROPERTY STOLEN AND RECOVERED, UNITED STATES, 2021 file (also known as the Supplement to Return A) is collected at the agency level and includes detailed monthly data on the nature of crime and the value and type of property stolen and recovered incident to each crime. The Return A Supplement requires that a value be established for property stolen and recovered in each Crime Index category except aggravated assault. It is designed to record the value of property stolen and recovered in the following eleven classifications: Currency/notes, Jewelry and Precious Metals, Clothing and Furs, Locally Stolen Motor Vehicles, Office Equipment, Televisions/Radios, Firearms, Household Goods, Consumable Goods, Livestock, and Miscellaneous. The determination of the value of property stolen is an obligation of the investigating officer, and such information is essential to assure the completeness of a law enforcement investigative report on stolen property. The data were originally assembled by the Federal Bureau of Investigation (FBI) from reports submitted by agencies participating in the UCR. The ICPSR file was processed from Return A Supplement files provided by the FBI.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Property Stolen and Recovered, United States, 2021
description: Property crimes reported by law enforcement agencies in the United States.
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Property Stolen and Recovered data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: 1975-1997 (ICPSR 9028).These studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.6084/m9.figshare.24799984.v1
title: Stickleback TGP.R from Predator-induced transgenerational plasticity of parental care behaviour in male threespined stickleback fish across two generations

description: Code
DOI: 10.25387/g3.23283128.v1
title: Supplemental Material for De-la-Cruz, Oyama, and Núñez-Farfán, 2023

description: 1) Chromosomes length from the genome of Datura stramonium
2) Annotation of the genome in gff3 format
3) Annotation of the genome in gft format
4) Genome assembly of Datura stramonium
5) Predicted proteins from the genome of Datura stramonium
DOI: 10.3886/icpsr38797
title: Uniform Crime Reporting Program Data: Arson, United States, 2021
title: Archival Version

description: Since 1930, the Federal Bureau of Investigation has
compiled the Uniform Crime Reports (UCR) to serve as periodic
nationwide assessments of reported crimes not available elsewhere in
the criminal justice system. Seven main classifications of crime were
chosen to gauge fluctuations in the overall volume and rate of
crime. These seven classifications that eventually became known as the
Crime Index included the violent crimes of murder and non-negligent
manslaughter, forcible rape, robbery, and aggravated assault, and the
property crimes of burglary, larceny-theft, and motor vehicle theft.
By congressional mandate, arson was added as the eighth Index offense
in 1979. Arson is defined as any willful or malicious burning or
attempt to burn, with or without intent to defraud, a dwelling house,
public building, motor vehicle or aircraft, personal property of
another, etc. The arson data files include monthly data on the number
of arson offenses reported and the number of offenses cleared by
arrest or other means. The counts include all reports of arson
received from victims, officers who discovered infractions, or other
sources.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Arson, United States, 2021
description: Arson crimes reported by law enforcement agencies in the
United States. Smallest Geographic Unit: states, counties, cities
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of
the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Arson data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: 1975-1997 (ICPSR 9028).These studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.3886/icpsr38797.v1
title: Uniform Crime Reporting Program Data: Arson, United States, 2021
title: Version 1

description: Since 1930, the Federal Bureau of Investigation has
compiled the Uniform Crime Reports (UCR) to serve as periodic
nationwide assessments of reported crimes not available elsewhere in
the criminal justice system. Seven main classifications of crime were
chosen to gauge fluctuations in the overall volume and rate of
crime. These seven classifications that eventually became known as the
Crime Index included the violent crimes of murder and non-negligent
manslaughter, forcible rape, robbery, and aggravated assault, and the
property crimes of burglary, larceny-theft, and motor vehicle theft.
By congressional mandate, arson was added as the eighth Index offense
in 1979. Arson is defined as any willful or malicious burning or
attempt to burn, with or without intent to defraud, a dwelling house,
public building, motor vehicle or aircraft, personal property of
another, etc. The arson data files include monthly data on the number
of arson offenses reported and the number of offenses cleared by
arrest or other means. The counts include all reports of arson
received from victims, officers who discovered infractions, or other
sources.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Arson, United States, 2021
description: Arson crimes reported by law enforcement agencies in the
United States. Smallest Geographic Unit: states, counties, cities
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of
the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Arson data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: 1975-1997 (ICPSR 9028).These studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.6084/m9.figshare.24798664
title: Genome_choleratoxin1

description: 霍乱是由霍乱弧菌引起的高度传染性疾病，危害人类健康，造成经济损失，使公共卫生服务不堪重负。尽管霍乱弧菌对人类健康的影响已得到广泛研究，但关于霍乱弧菌在不同环境中获取和传播霍乱毒素基因的信息有限。在这项工作中，我们通过从 IMG/VR、Refseq 和 Enterobase 数据库中收集含有霍乱毒素基因的病毒和细菌基因组，研究了不同栖息地病毒之间霍乱毒素基因的转移。在RefSeq、EnteroBase数据库和多个生境的细菌MAGs（超过1,165,144个细菌基因组）中检索了霍乱弧菌和含有毒素基因的细菌基因组，共鉴定出4,625个霍乱弧菌基因组和6,947个含有毒素基因的细菌基因组。在综合微生物基因组和病毒组（IMG/VR）数据库（v4.1,2022年9月）中共鉴定出453个编码毒素基因的中高质量UViG。
DOI: 10.6084/m9.figshare.22683508
title: Little_2023_among-sampler var in fuel moisture field measurements

description:  Data supporting the study " Accounting for among-sampler variability improves confidence in fuel moisture content field measurements" submitted to International Journal of Wildland Fire.
File contains:
- csv of fuel moisture measurement data collected during an intensive field campaign
DOI: 10.3886/icpsr38799.v1
title: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, United States, 2021
title: Version 1

description: The UNIFORM CRIME REPORTING PROGRAM DATA: OFFENSES KNOWN AND CLEARANCES BY ARREST, 2021 dataset is a compilation of offenses reported to law enforcement agencies in the United States. Due to the vast number of categories of crime committed in the United States, the FBI has limited the type of crimes included in this compilation to those crimes which people are most likely to report to police and those crimes which occur frequently enough to be analyzed across time. Crimes included are criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. Much information about these crimes is provided in this dataset. The number of times an offense has been reported, the number of reported offenses that have been cleared by arrests, and the number of cleared offenses which involved offenders under the age of 18 are the major items of information collected.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, United States, 2021
description: Index crimes reported by law enforcement agencies in the United States. Smallest Geographic Unit: US states, counties, and cities
description: self-enumerated questionnaireStarting with the year 1998, each of the four types of UCR summary data archived by ICPSR is released as a separate study under its own study number. Offenses Known and Clearances by Arrest data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: 1975-1997 (ICPSR 9028).These studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.25919/scmf-n449
title: Parkes observations for project P1165 semester 2023OCTS_04

description: We recently discovered a new pulsar J1849+1001 (35.1 ms) in a FAST pulsar survey at intermediate Galactic latitudes (PT2020_0141). Follow-up timing observations show that they are in circular orbits with massive companions. This suggests that PSR J1849+1001 can be classified as an intermediate-mass binary pulsar (IMBP). Their massive companions also make them promising systems to measure "Post-Keplerian" parameters through pulsar timing. These Parkes observations will be combined with regular timing observations with FAST to measure "Post-Keplerian" parameters and then measure both neutron star and companion masses.
DOI: 10.6084/m9.figshare.24800088
title: read_cleaned.tsv

description: Global SUVR measured from florbetaben PET.Fecal microbial composition from phylum to species level of enrolled subjects. <br>
DOI: 10.6084/m9.figshare.24800088.v1
title: read_cleaned.tsv

description: Global SUVR measured from florbetaben PET.Fecal microbial composition from phylum to species level of enrolled subjects. <br>
DOI: 10.6084/m9.figshare.24800085.v1
title: Holographic 3D tracking for L. acidophilus

description: 3D tracking based on digital holographic microscopy in pH8 buffer, for L. acidophilus
DOI: 10.3886/icpsr21520.v1
title: Community Health Center: Core Data Project, 2001-2002
title: Version 1

description: A survey was administered to any patient that presented for services at a health center between 2001 and 2002. Patients were asked to complete a brief survey with questions relating to demographic, relationship status, reason for choosing this health center, mental health status, and abuse history.
description: The purpose of this study was to assess the feasibility of collecting gender identity and sexual orientation data at a community health center to better understand how these characteristics were related to patients' self-reported life experiences, and to explore how this information could be used to improve patient care.
description: Individuals seen during a 12-months period completed a one-page, voluntary questionnaire at intake.
description: Significant demographic variables include gender, transgender, sexual orientation, relationship status, annual income, and education. Abuse history variables include whether a person was a victim and/or perpetrator. Discrimination experiences relating to sexual orientation status were included. Other key topics included use of alcohol and other drugs, discrimination, smoking, and mental health.
description: Presence of Common Scales: Several response categories were used.
description: Any patient presenting for care was given the opportunity to complete the survey.
description: Datasets: DS1: Community Health Center: Core Data Project, 2001-2002
description: All individuals aged 18 and older living in 6 New England states.
description: computer-assisted self interview (CASI); self-enumerated questionnaireThe survey was completed by 3,103 patients during the data collection period. The survey was administered by Patient Registration staff at the time of patient registration.Modifications were made to the survey during the collection period. Both versions of the survey instruments are available.To protect the confidentiality of respondents, all variables that could be used to identify individuals have been collapsed or recoded on the public use files. These modifications should not affect analytic uses of the public use files.
DOI: 10.3886/e191743v1
title: Data and code for: The Ends of 27 Big Depressions

description: How did countries recover from the Great Depression? In this paper, we explore the argument that leaving the gold standard helped by boosting inflationary expectations, lowering real interest rates, and stimulating interest-sensitive expenditures. We do so for a sample of 27 countries, using modern nowcasting methods and a new dataset containing more than 230,000 monthly and quarterly observations for over 1,500 variables. In those cases where the departure from gold happened on well-defined dates, inflationary expectations clearly rose in the wake of departure. IV, diff-in-diff, and synthetic matching techniques suggest that the relationship is causal.
DOI: 10.57745/fvbcm8
title: Table_S1.xlsx

description: Supplementary Table 1. Characterized enzymes. 
Enzyme category: AT = acyltransferase, GT = Glycosyltransferase, HL = hydroxylase, MT = methyltransferase. Subcategory: SCPL = Serine carboxypeptidase-like, GT1 = Glycosyltransferase family 1, 2-ODD = 2-oxoglutarate-dependent dioxygenase, CYP450 = cytochrome P450, O-MT = O-methyltransferase.
DOI: 10.57745/p6hxgc
title: Table_S2.tab

description: Supplementary Table 2. List of putative and characterized decoration enzymes used for heatmap and phylogenetic tree analyses.
Category: AT = acyltransferase, GT = Glycosyltransferase, HL = hydroxylase, MT = methyltransferase. Subcategory: GT1 = Glycosyltransferase family 1, 2-ODD = 2-oxoglutarate-dependent dioxygenase, CYP450 = cytochrome P450. Gene list accessions for each SM decoration enzyme category was established by combining key-word (e.g. “Hydroxylase”, “CYP450”, “2-oxoglutarate-dependent dioxygenase”, “SAM-dependent methyltransferase”, “O methyltransferase”, “Glycosyltransferase”, “Acyltransferase”, “SCPL”, “BAHD acyltransferase”)results research from The Arabidopsis Information Resource (TAIR - www.arabidopsis.org/), National Center for Biotechnology Information (NCBI, www.ncbi.nlm.nih.gov/) and the Carbohydrate-Active enZYmes (CAZy database - www.cazy.org; Drula et al., 2022) databases, together with lists found in Bontpart et al. 2015 (for acyltransferases) and Kawai et al. 2014 (for 2-oxoglutarate-dependent dioxygenases)


Bontpart et al. (2015) - New Phytologist, 208(3):695-707. doi: 10.1111/nph.13498.
Drula et al. (2022) - Nucleic Acids Research, 50(D1): D571–D577 doi.org/10.1093/nar/gkab1045
Kawai et al. (2014) - The Plant Journal, Apr;78(2):328-43. doi: 10.1111/tpj.12479.
DOI: 10.57745/uycsqf
title: Supplementary Table 1.xlsx

description: :unav
DOI: 10.57745/eem1if
title: Supplementary Table 2.tab

description: :unav
DOI: 10.57745/pff5fv
title: Supplementary Figure 1.pdf

description: :unav
DOI: 10.57745/rhglsb
title: Supplementary Table 3.tab

description: :unav
DOI: 10.34740/kaggle/dsv/7194128
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.3886/e195361
title: Powers that be? Political alignment, government formation, and government stability

description: Replication package for Powers that be? Political alignment, government formation, and government stability, Journal of Public Economics (forthcoming 2024)<br> <br><br>
DOI: 10.3886/e195361v1
title: Powers that be? Political alignment, government formation, and government stability

description: Replication package for Powers that be? Political alignment, government formation, and government stability, Journal of Public Economics (forthcoming 2024)<br> <br><br>
DOI: 10.13020/w8nk-d131
title: Data for "Knowledge Infrastructures Are Growing Up: The Case for Institutional (Data) Repositories 10 Years After the Holdren Memo"

description: Recognizing that institutional repositories (IRs and IDRs) have been, and will continue to be, key infrastructure researchers utilize to share their data (either due to funder, publisher, or institutional requirements, or to promote open science) the authors, as individual members of the Data Curation Network (DCN), recognized the imperative to assess the current IR and IDR landscape. To that end, we conducted a review of institutional and data repositories based at Association of Research Libraries (ARL) institutions to better understand: Are either institutional repositories or institutional data repositories receiving datasets? If so, has this increased over time and, if so, by how much?
DOI: 10.5281/zenodo.10371890
title: Sample SpottedPy dataset
DOI: 10.5281/zenodo.10371889
title: Sample SpottedPy dataset
DOI: 10.5281/zenodo.10371847
title: 180-Bus Medium Voltage Distribution Network Data

description: The data describes a realistic medium-voltage distribution network with 180 buses, 90 loads (6799 consumers), 5 EV parking lots, 2 Energy Storage Systems, 42 Wind Farms, 33 PV parks, 3 biomasses, and 1 substation supplied by a transformer with 1 MVA and 30 kV.

The network characteristics, such as cable resistances, reactances, and thermal limits, are available.

Demand, EV demand, and PV/Wind generation profiles are presented for 64 scenarios.
DOI: 10.5281/zenodo.10371911
title: Supplementary files for Impact of climate change on leafhopper vectors of phytoplasmas in North America
DOI: 10.5281/zenodo.10371910
title: Supplementary files for Impact of climate change on leafhopper vectors of phytoplasmas in North America
DOI: 10.5281/zenodo.10371958
title: Numerical direct scattering transform for breathers

description: Data and numerical codes used in the paper "Numerical direct scattering transform for breathers" by I. Mullyadzhanov, A. Gudko, R. Mullyadzhanov, & A. Gelash (2023). The paper is accepted for publication in the Proceedings of the Royal Society A journal.
DOI: 10.5281/zenodo.10371959
title: Numerical direct scattering transform for breathers

description: Data and numerical codes used in the paper "Numerical direct scattering transform for breathers" by I. Mullyadzhanov, A. Gudko, R. Mullyadzhanov, & A. Gelash (2023). The paper is accepted for publication in the Proceedings of the Royal Society A journal.
DOI: 10.3886/e119967v1-143783
title: Data and code for: "Local Labor Markets and the Persistence of Population Shocks: Evidence from West Germany, 1939-70"

description: This paper studies the persistence of a large, unexpected, and regionally very unevenly distributed population shock, the inflow of eight million ethnic Germans from Eastern Europe to West Germany after World War II. Using detailed census data from 1939-1970, we show that the shock proved persistent within local labor markets, but was largely reversed between labor markets. These results show that the choice of spatial units can significantly affect the estimated persistence of population shocks. They can thus help to explain why previous studies on the persistence of population shocks reached conflicting conclusions.
DOI: 10.5281/zenodo.6726426
title: Datasets for the article "The temperature and density of a solar flare kernel measured from extreme ultraviolet lines of O IV"

description: This entry contains the following files:
20120309_030933_kernel_fe8_shift.save20120309_030933_kernel_fe8_shift_fits.txt20110814_055342_qs_offlimb_si10.save20110814_055342_qs_offlimb_si10_fits.txt
The .save files are IDL save files that can be restored into IDL using the restore command.
The 20120309 save file contains:
swspec  - An IDL structure containing a 1D spectrum of the flare kernel for the EIS short wavelength (SW) channel. The format is that returned by eis-mask-spectrum.pro.lwspec  - As above, but for the long-wavelength (LW) channel.map185  - An IDL map structure containing the Fe VIII 185.21 image that was used to select the flare kernel.mask185  - An IDL structure containing the pixel mask that is used as input to eis-mask-spectrum.pro.
The Gaussian fits to the spectra (as performed with the routine spec-gauss-eis.pro) are stored in 20120309_030933_kernel_fe8shift_fits.txt. This file can be read with   read_line_fits.pro in Solarsoft.
The 20110814 dataset is used to obtain an off-limb coronal spectrum for calibration purposes. The save file contains:
swspec  - An IDL structure containing a 1D spectrum of the off-limb region for the EIS SW channel. The format is that returned by eis-mask-spectrum.pro.lwspec  - As above, but for the LW channel.map - An IDL map structure containing the Si X 272 image that was used to select off-limb region.mask   - An IDL structure containing the pixel mask that is used as input to eis-mask-spectrum.pro.
The Gaussian fits to the spectra (as performed with the routine spec-gauss-eis.pro) are stored in 20110814_055342_qs_offlimb_si10_fits.txt. This file can be read with read_line_fits.pro in Solarsoft.