cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr35036.v1
title: National Incident-Based Reporting System, 2012: Extract Files
title: NIBRS, 2012
title: Version 1

description: The National Incident-Based Reporting System (NIBRS) is a
part of the Uniform Crime Reporting Program (UCR), administered by the
Federal Bureau of Investigation (FBI). The extract files version of
NIBRS was created to simplify working with NIBRS data. Data management
issues with NIBRS are significant, especially when two or more segment
levels are being merged. These issues require skills separate from
data analysis. NIBRS data as formatted by the FBI are stored in a
single file. These data are organized by various segment levels
(record types). There are six main segment levels: administrative,
offense, property, victim, offender, and arrestee. Each segment level
has a different length and layout. There are other segment levels that
occur with less frequency than the six main levels. Significant
computing resources are necessary to work with the data in its
single-file format. In addition, the user must be sophisticated in
working with data in complex file types. For these reasons and the
desire to facilitate the use of NIBRS data, ICPSR created the extract
files. The data are not a representative sample of crime in the United
States.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of 
				disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major 
				statistical software formats as well as standard codebooks to accompany the data. In addition to 
				these procedures, ICPSR performed the following processing steps for this data collection:
			   		Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Incident-Level File
						DS2: Victim-Level File
						DS3: Offender-Level File
						DS4: Arrestee-Level File
description: National Incident-Based Reporting System (NIBRS) Series
description: record abstracts
description: Law enforcement agencies in the United States
participating in the National Incident-Based Reporting System.
				   		Smallest Geographic Unit: city
DOI: 10.3886/icpsr35158.v1
title: Law Enforcement Agency Identifiers Crosswalk, United States, 2012
title: LEAIC
title: Version 1

description: Criminal justice research may require merging disparate data sources that have no common match keys. The Law Enforcement Agency Identifiers Crosswalk (LEAIC) file facilitates linking reported crime data with socio-economic data. It does this by having a record for each law enforcement agency, law enforcement reporting entity, and access identifier for the National Crime Information Center (NCIC). Essentially, if an entity (law enforcement agency or section of a law enforcement agency) is capable of reporting crime information, it is included in the file.  The LEAIC records contain common match keys for merging reported crime data and Census Bureau data. These linkage variables include the Originating Agency Identifier (ORI) code, Federal Information Processing Standards (FIPS) state, county and place codes, and Governments Integrated Directory government identifier codes.
description: The Law Enforcement Agency Identifiers Crosswalk (LEAIC) file is primarily designed to apply geographic and government information to records representing law enforcement agencies.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of 
				disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major 
				statistical software formats as well as standard codebooks to accompany the data. In addition to 
				these procedures, ICPSR performed the following processing steps for this data collection:
			   		Performed consistency checks.; Created variable labels and/or value labels.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Datasets: 
					
						DS1: Dataset
description: Law Enforcement Agency Identifiers Crosswalk Series
description: record abstracts
description: State and local police agencies, police reporting entities, and police-related access to the NCIC
				   		Smallest Geographic Unit: city
DOI: 10.5281/zenodo.11256621
title: Seismic reflection data of the Ganyanchi baisn, Haiyuan fault, NE Tibetan Plateau
DOI: 10.6084/m9.figshare.25101977
title: Species traits, landscape quality and floral resource overlap with honeybees determine virus transmission in plant-pollinator networks

description: LandscapeData: Data on landscape-scale pollinator-friendly habitat per landscape. Cover of pollinator-friendly habitat (%) was measured in 500 m radius around the center of the study landscapes (see associated research article for details about the definition of pollinator-friendly habitat).

InteractionData: Pollinator (wild bees and hoverflies) and their interactions with visited plant species, based on transect data from the 12 landscapes and 3 sampling rounds. See associated research article for details about the sampling.

Flower Data: Flower survey data from the 12 landscapes and 3 sampling rounds. Flower abundance of each flowering plant species (in cm^2) is given. See associated research article for details about the sampling.

DWVB_summarised and BQCV summarised: Data on deformed wing virus B (DWVB) or black queen cell virus (BQCV) load summarised per landscape, sampling round and genus of the pollinator (median number of viral copies). See associated research article for details about the sampling and molecular methods.

Viral_data_raw:Data on black queen cell virus (BQCV), deformed wing virus A and B (DWV) loads (genome copies per µg of RNA per individual sample) per pollinator species, site and sampling round; as well as the Cq-values of the reference gene Apo28S (rRNA gene from the Apocrita suborder) for each sample. See associated research article for details about the sampling and molecular methods.
DOI: 10.6084/m9.figshare.25706982
title: Integrative Proteomic Analysis Reveals Metabolic Vulnerabilities and Diagnostic Biomarkers in High-risk Prostate Cancer

description: Raw dataset. 1: The genomic characterization of the 125 PCa patients. 
Raw dataset. 1a: Somatic mutations identified in the 125 PCa patients called by WES. 
Raw dataset. 1b: Somatic copy number alterations (CNAs) identified in the 125 PCa patients called by WES (Gene level copy number alterations estimated by GISTIC2). 
Raw dataset. 1c: Somatic copy number alterations (CNAs) identified in the 125 PCa patients called by WES (Arm level copy number alterations estimated by GISTIC2). 
Raw dataset. 1d: Somatic copy number alterations (CNAs) identified in the 125 PCa patients called by WES (Focal copy number alterations estimated by GISTIC2). 
Raw dataset. 1e: The gene fusion events identified in the 125 PCa patients called by RNA-seq data. 
Raw dataset. 1f: Qualitative and quantitative results of both annotated and novel splice junctions changed in tumor and NAT of the 125 PCa patients (rMATS uses a likelihood-ratio test to calculate the P value and uses Benjamini-Hochberg multiple comparisons for FDR). 

Raw dataset. 2: The transcriptomic characterization of the 125 PCa patients. 
Raw dataset. 2a: A list of the genes identified in PCa samples by RNA-Seq (shown as the normalized count). 
Raw dataset. 2b: A list of the genes identified in PCa samples by RNA-Seq (shown as the FPKM). 

Raw dataset. 3: The proteomic characterization of the 125 PCa patients. 
Raw dataset. 3a: A list of protein groups identified in the 125 PCa patients. 
Raw dataset. 3b: A list of proteins (grouped into unique gene names) and their relative intensities in tumor and nearby tissues of the 125 PCa patients. 

Raw dataset. 4: The phosphoproteomic characterization of the 125 PCa patients. 
Raw dataset. 4a: A list of phosphosites identified in the 125 PCa patients. 
Raw dataset. 4b: A list of phosphosites (grouped into unique gene names) and their relative intensities in tumor and nearby tissues of the 125 PCa patients.
DOI: 10.6084/m9.figshare.25902490
title: Supplementary Material for: Nutritional status indicators predict tolerability to adjuvant chemotherapy in patients with stage II/III rectal cancer undergoing neoadjuvant chemoradiotherapy

description: Introduction: Adjuvant chemotherapy (AC) after radical surgery following preoperative chemoradiotherapy (CRT) for locally advanced rectal cancer (LARC) is now the standard of care. The identification of risk factors for the discontinuation of AC is important for further improvements in survival. We herein examined the prognostic impact of chemotherapy compliance and its relationship with the prognostic nutritional index (PNI) before surgery.
Materials and Methods: A total of 335 Stage II-III LARC patients who underwent preoperative CRT between 2003 and 2022 at the University of Tokyo Hospital were retrospectively reviewed. We excluded patients with recurrence during AC and those who had not received AC. The relationship between AC and long-term outcomes and that between PNI values and the duration of AC were examined.
Results: Thirty-one patients discontinued AC and 62 continued AC. Recurrence-free survival (RFS) was significantly shorter in patients who discontinued AC (p = 0.0056). The discontinuation of AC was identified as an independent risk factor for RFS (HR 2.24, p = 0.0233). Twenty-one patients were classified as having low PNI (less than 40), which correlated with an older age, low BMI, and incomplete AC. Low PNI was an independent risk factor for a shorter duration of AC (HR 2.53, p = 0.0123).
Conclusion: The discontinuation of AC was related to poor RFS in patients with LARC undergoing preoperative CRT. Furthermore, a low PNI value was identified as a risk factor for a shorter duration of AC.
DOI: 10.6084/m9.figshare.27159189
title: Supplementary Material for: Comparative analyses reveal conserved and modified steps in the testis descent and scrotum development in mouse and opossum

description: Introduction: In many mammals, the testes descend from its abdominal position on the mesonephric kidney, and are housed in the scrotum. It has been speculated that metatherians and eutherians might have acquired the scrotal testis independently, because metatherians have the scrotum cranially to the phallus, while eutherians, such as humans and mice, possess it caudally. Rather, recent studies, based on sequence comparisons of testis-descent-related genes indicate that the metatherian-eutherian common ancestor might already possess the descent mechanisms. To further elucidate the path of scrotal testis evolution, it is informative to compare the processes of the descent and scrotum development between metatherian and eutherian model animals. Methods: In this study, we histologically and molecularly compare these processes in gray short-tailed opossum (Monodelphis domestica), the most commonly used metatherian experimental model, and compare them with those in mouse. Results: Our observations indicate that, while trans-abdominal phase of the descent appears to be largely similar, scrotal phase differs, due to their distinct scrotum positions. Our cell-labeling analyses and dynamic expression of Gsc1 reveal extensive cell/tissue rearrangements in murine scrotal development. In contrast, Gsc1 is not expressed in the developing genitalia and scrotal primordium of the opossum. Conclusion: Our results suggest recruitment of new regulatory pathways for the scrotum development and the scrotal phase of the testis descent during the evolution of eutherian mammals.
DOI: 10.7483/opendata.atlas.2y1t.tlgl
title: ATLAS 13 TeV samples collection at least four leptons (electron or muon), for 2020 Open Data release
DOI: 10.15472/r1ln4m
title: Comunidad fitoplanctónica presente en el Golfo de Urabá 2018

description: El río Atrato ejerce una fuerte influencia sobre las condiciones de calidad fisicoquímicas y ecológicas de las aguas costeras en el Golfo de Urabá, mediante el transporte de microorganismos patógenos y no patógenos que pueden llegar a deteriorar la salud humana y con ello, constituirse en indicadores del deterioro de la calidad del agua. Todos estos aportes están favorecidos por el desarrollo de actividades socioeconómicasy la falta de sistemas de saneamiento en las poblaciones asentadas en la cuenca del río Atrato.El instituto de Investigaciones Ambientales del Pacífico, en cumplimiento de su misión investigativa para el desarrollo progresivo de nuestras comunidades y el sostenimiento del equilibrio ambiental ha desarrollado investigaciones en las zonas costeras de la región, obteniendo reportes de calidad fisicoquímica en las bahías de Turbo, Buenaventura, Tumaco, Nuquí y Bahía Solano; en las que se evidencio cierto grado de contaminación debido a las grandes descargas de residuos domésticos, portuarios e industriales, producto de las actividades realizadas en fuentes hídricas que a estas vierten. Partiendo de lo anterior, la caracterización ecológica de las aguas costeras del Golfo de Urabá influenciada por los aportes containantes del río Atrato, constituye un aporte al conocimiento y seguimiento del estado de calidad de este ecosistema hídrico. En el presente documento se presentan los resultados de evaluación de la calidad fisicoquímica y ecológica del agua en el Golfo de Urabá, como una aproximación al analisis de los aportes contaminantes del río Atrato, partiendo del analisis de información secundaria como línea base, la medición y análisis de variables fisicoquímicas y la identificación de indicadores biológicos como algas, así como del análisis del estado de conservación a partir de la evaluación y calificación de indicadores ecológicos, que den cuenta del estado de conservación del ecosistema hídrico y los efectos de las dinámicas socioeconómicas, domésticas y productiva que se desarrollan en su área de influencia.
DOI: 10.17632/k6r7ycg7hk.1
title: Clarke S. 2022 More Solutions

description: Current investment to address climate change is focused mainly on the mitigation of further greenhouse gas emissions by a wide variety of means and a handful of technologies, most of which are designed to extract carbon dioxide from the air and to either to sequester it geologically or to turn it into biomass or useful products. This handful includes Direct Air Capture (DAC) using machinery, Bioenergy with Carbon Capture and Storage (BECCS), and various forms of Afforestation. Even with some likely improvement in cost over time, most reputable analyses indicate that all three will suffer from showstoppers in the form of one or more of: scalability, cost, insufficient resource, timeliness, or risk of reversal under increasing global warming. In addition, none directly addresses the problems of other greenhouse gases, of solar or thermal radiation management, of ocean acidification and stratification, of species and habitat loss, of ice loss, of increasingly extreme weather events, of sea level rise, of passing tipping points, and of the long-term effects of prior emissions, land clearing, pollution, and ecological impoverishment. OFFER What is offered below are sixteen conceptual methods, the combination of which addresses both carbon dioxide removal (CDR) and the above other problems in different ways. Most require validation, modelling, gated testing and approval prior to deployment. Whilst research is being undertaken at various organizations to develop, quantify, model, test and validate some of them, all such concepts that appear to have prospect need to be evaluated and compared. As well, all should be assessed for their potential cost-effectiveness, their effects, scalability, risk-to-risk profile, optimal interaction, measurably, reversibility, and community acceptability. Readers are requested to see how they might contribute to these efforts. Each concept will be given a short description. Its key functions will be outlined, as well as the innovation dependencies on which it depends. Attached to it may also be a summarizing graphic and/or document where that is short enough to be digested quickly. Longer, supporting documentation is available on request for most of the solutions. Whilst the order in which the concepts are presented is usually that of decreasing expected climate restoration effectiveness, exceptions are made when subsequent concepts are likely to depend on earlier ones.
DOI: 10.5066/p9p77lgz
title: Data Release for the 2014 National Seismic Hazard Model for the Conterminous U.S.

description: Seismicity catalogs, GIS shapefiles, gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2014 National Seismic Hazard Model for the Conterminous U.S. Probabilistic seismic hazard data and maps of the conterminous U.S. for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404) and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Hazard was calculated on a 0.05 degree by 0.05 degree grid, defined by a bounding box encompassing the conterminous U.S. (-125 to -65 degrees longitude west, 24.6 to 50 degrees latitude north). Development of the 2014 National Seismic Hazard Model for the Conterminous U.S. is documented in the USGS Open-File Report 2014-1091 (https://pubs.usgs.gov/of/2014/1091/). This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2014) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets. NOTE: In 2018, additional period and site class maps were calculated for the 2014 NSHM. For additional period and site class maps and data, please see https://doi.org/10.5066/P9I6BPX5, documented in USGS Open-File Report 2018-1111 (https://doi.org/10.3133/ofr20181111).
DOI: 10.5281/zenodo.11396904
title: Dense vegetation hinders sediment transport towards saltmarsh interiors - Supporting data and source code (Part IV: Post-processing)

description: This is Part IV of the supporting data and source code for the paper entitled "Dense vegetation hinders sediment transport towards saltmarsh interiors", submitted to Limnology and Oceanography Letters. It contains all input and output files for the post-processing of all model results.

To be able to run the scripts as is, the folder structure should be as follows:

Runs (includes all model run folders from Part II and Part III)Post/Basic/ChannelsPost/Basic/Cross_sectionsPost/Basic/IntegralsPost/Basic/Median_neighborhood_analysis (includes all unzipped MNA_TIGER_XX.zip folders)Post/Basic/Skeleton_cleanPost/Basic/Skeleton_finalPost/Basic/Skeleton_rawPost/Basic/Unchanneled_path_lengthPost/Basic/WatershedsPost/Basic/Scenarios.txtPost/Basic/TIGER_2km_5m.slfPost/Paper_1/Erosion-depositionPost/Paper_1/FluxesPost/Paper_1/ProfilesPost/Paper_1/Std
description: Other funding: Research Foundation – Flanders (FWO), fundamental research project, Grant no. G031620N.
DOI: 10.5281/zenodo.11401186
title: Dense vegetation hinders sediment transport towards saltmarsh interiors - Supporting data and source code (Part V: Figures)

description: This is Part V of the supporting data and source code for the paper entitled "Dense vegetation hinders sediment transport towards saltmarsh interiors", submitted to Limnology and Oceanography Letters. It contains all input and output files to generate the figures of the paper.

To be able to run the scripts as is, the path (at the beginning of each script) to the following folders must be updated:

Runs (includes all model run folders from Part II and Part III)Post (includes all post-processing folders from Part IV)
description: Other funding: Research Foundation – Flanders (FWO), fundamental research project, Grant no. G031620N.
DOI: 10.5281/zenodo.13316194
title: The Impact of the 8-10 March 2012 Geomagnetic Storm on Inner Zone Protons as Measured by Van Allen Probes

description: Dataset for manuscript

ctr.mat: test-particle count, Fig4

psdgoes.mat, psdob0.mat: PSD from RD, Fig5, 6, 8

mar2012-ts05-flux-777001.txt, mar2012-ts05-flux-777003.txt: test-particle trajectories, Fig7
DOI: 10.5281/zenodo.13748070
title: Eutrophication indicators in the Baltic Sea 1970-2100 and nutrient loads to three coastal systems. BALTSEM model simulations and observations.

description: Dataset and model code accompanying manuscript: 

Ehrnsten, E. Humborg C., Gustafsson, E. and Gustafsson B. G. 2024. Disaster avoided: current state of the Baltic Sea without human intervention to reduce nutrient loads. Resubmitted to Limnology & Oceanography Letters 2024-09-13. 

 

This repository contains the following files:

 

1_Data_description.pdf

Description of data sets and details on model forcing and data collection methods.

 

Eutrophication_indicators1970-2021_BALTSEM_and_observations.xlsx

Eutrophication indicators in the Baltic Sea: BALTSEM model simulation output from real load and no reduction scenarios as well as observations 1970-2021.

 

BALTSEM_output_future_1970-2100.xlsx

BALTSEM model simulation output 1970-2021 with observed nutrient loads (Real loads scenario) and statistics of 100 model runs 2022-2100 with present (2021) nutrient loads. The 100 runs represent statistical variations in forcing and boundary conditions to account for uncertainty in future weather and sea level conditions.

 

NPloads_BS_M_C.xlsx

Nitrogen and phosphorus loads from the Baltic Sea, Mississippi and Changjiang catchments 1950-2021 collected from several published sources.

 

baltsem9.5_carbon.tar.gz

Copressed folder with model code for BALTSEM 9.5 as well as forcing data used in the simulations. Information on folder contents and a user guide to run the model simuations can be found in the file BALTSEMGettingStartedCarbon.pdf
DOI: 10.5441/002/edbt.2016.102
title: Context-Dependent Quality-Aware Source Selection for Live Queries on Linked Data
DOI: 10.6084/m9.figshare.12962132.v3
title: Leptospirosis extended data files

description: Excel files with EGMs