cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr36165.v1
title: Capital Punishment in the United States, 1973-2011
title: Version 1

description: CAPITAL PUNISHMENT IN THE UNITED STATES, 1973-2011 provides annual data on prisoners under a sentence of death, as well as those who had their sentences commuted or vacated and prisoners who were executed. This study examines basic sociodemographic classifications including age, sex, race and ethnicity, marital status at time of imprisonment, level of education, and state and region of incarceration. Criminal history information includes prior felony convictions and prior convictions for criminal homicide and the legal status at the time of the capital offense. Additional information is provided on those inmates removed from death row by yearend 2011. The dataset consists of one part which contains 9,058 cases. The file provides information on inmates whose death sentences were removed in addition to information on those inmates who were executed. The file also gives information about inmates who received a second death sentence by yearend 2011 as well as inmates who were already on death row.
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: Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Datasets: DS1: Dataset
description: Capital Punishment in the United States Series
description: mail questionnaire
description: web-based survey
description: All inmates on death row since 1973 in the United States. Smallest Geographic Unit: state
DOI: 10.3886/e112399v1-71420
title: Replication data for: Monetary Policy, Trend Inflation, and the Great Moderation: An Alternative Interpretation

description: With positive trend inflation, the Taylor principle does not guarantee a determinate equilibrium. We provide new theoretical results on determinacy in New Keynesian models with positive trend inflation and new empirical findings on the Federal Reserve's reaction function before and after the Volcker disinflation to find that, (i) while the Fed likely satisfied the Taylor principle before Volcker, the US economy was still subject to self-fulfilling fluctuations in the 1970s, (ii) the US economy switched to determinacy during the Volcker disinflation, and (iii) the switch reflected changes in the Fed's response to macroeconomic variables and the decline in trend inflation. (JEL E12, E23, E31, E32, E52)
DOI: 10.5281/zenodo.4302747
title: Semantic Segmentation of Time Series Imagery Using Deep Convolutional Neural Networks: A Case Study of Sandbars in Grand Canyon

description: This dataset contains imagery used to train and test Deep Convolutional Neural Networks for the purpose of binary semantic segmentation of a time series of oblique imagery capturing sandbar monitoring sites in The Grand Canyon. In addition the scripts needed for removing image distortion, registering, rectifying, and labeling imagery is present.
DOI: 10.5281/zenodo.4302746
title: Semantic Segmentation of Time Series Imagery Using Deep Convolutional Neural Networks: A Case Study of Sandbars in Grand Canyon

description: This dataset contains imagery used to train and test Deep Convolutional Neural Networks for the purpose of binary semantic segmentation of a time series of oblique imagery capturing sandbar monitoring sites in The Grand Canyon. In addition the scripts needed for removing image distortion, registering, rectifying, and labeling imagery is present.
DOI: 10.5519/qd.1laskn0p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.18112/openneuro.ds003409.v1.0.0
title: Flickering Checkerboard Demo Scans
DOI: 10.5281/zenodo.4302768
title: African Swine Fever spread across Asia, 2018-2019

description: Information on the locations and dates of AFS outbreaks throughout Asia was gathered from the OIE. Immediate Notifications and Follow-up reports were accessed from the Report Archive of the World Animal Health Information Database (WAHIS) Interface.[1] Reported ASF outbreaks were selected if they were located in an Asian country between 1 August 2018 and 31 December 2019. For each report, the following information was extracted: date of report, outbreak start date and end date (if applicable), location (latitude/longitude and by name), unit type, number of susceptible animals, number of cases, deaths and number of animals killed and disposed of. Reports were only included for domestic pig populations; reports of occurrence in wild boar were excluded. Data were imported into Microsoft Excel 2016 and all reports were combined into a single dataset for further analysis. Error checking was performed by ensuring logical values were recorded for each data point and by random selection of 5% of the data to manually check against the original reports. [1] https://www.oie.int/wahis_2/public/wahid.php/Wahidhome/Home
DOI: 10.5281/zenodo.4302767
title: African Swine Fever spread across Asia, 2018-2019

description: Information on the locations and dates of AFS outbreaks throughout Asia was gathered from the OIE. Immediate Notifications and Follow-up reports were accessed from the Report Archive of the World Animal Health Information Database (WAHIS) Interface.[1] Reported ASF outbreaks were selected if they were located in an Asian country between 1 August 2018 and 31 December 2019. For each report, the following information was extracted: date of report, outbreak start date and end date (if applicable), location (latitude/longitude and by name), unit type, number of susceptible animals, number of cases, deaths and number of animals killed and disposed of. Reports were only included for domestic pig populations; reports of occurrence in wild boar were excluded. Data were imported into Microsoft Excel 2016 and all reports were combined into a single dataset for further analysis. Error checking was performed by ensuring logical values were recorded for each data point and by random selection of 5% of the data to manually check against the original reports. [1] https://www.oie.int/wahis_2/public/wahid.php/Wahidhome/Home
DOI: 10.6084/m9.figshare.13065986.v14
title: Gastric cancer lymph node data set

description: This is a dataset of pathological lymph nodes for gastric cancer. It can be used to test a gastric cancer lymph node metastasis detection model proposed in "Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning".<br>
DOI: 10.26188/5e3b94cec0a32
title: Prosaccade latencies across multiple decision-making tasks

description: Prosaccade data (participant age, sex, site (Melbourne vs Athens), median latencies, and best fit LATER model parameters) for step, countermanding and Wheeless tasks
DOI: 10.17632/h36xc4k2cn.1
title: Data for: Alpha-cut based fuzzy cognitive maps with applications in decision-making

description: Data for examples
DOI: 10.17632/n5wxwncv6k.1
title: Data for: Weld defect frequency, size statistics and probabilistic models for ship structures

description: Detected weld defect collected as part of weld quality programme of two newbuilding cruise ships. The defects are detected by non-destructive testing. The data includes material thickness, hull area, NDT method used, type of defect and defect lengths. The joint are all butt joints.
DOI: 10.5281/zenodo.4295746
title: First release of the time-variable gravity model over North China (NC-IGP01T).

description: Time-variable gravity model over North China (NC-IGP01T)
DOI: 10.5281/zenodo.4117983
title: First release of the time-variable gravity model over North China (NC-IGP01T).

description: Time-variable gravity model over North China (NC-IGP01T)
DOI: 10.5281/zenodo.4302803
title: PARADE: Passage Representation Aggregation for Document Reranking

description: This submission includes all pretrained models on MSMARCO, and run files on the Robust04/GOV2 dataset for the paper "PARADE: Passage Representation Aggregation for Document Reranking". Please follow the instructions in the PARADE repo to reproduce the results.
DOI: 10.5281/zenodo.3974430
title: PARADE: Passage Representation Aggregation for Document Reranking

description: This submission includes all pretrained models on MSMARCO, and run files on the Robust04/GOV2 dataset for the paper "PARADE: Passage Representation Aggregation for Document Reranking". Please follow the instructions in the PARADE repo to reproduce the results.
DOI: 10.25345/c5078z
title: MassIVE MSV000086547 - 112120 Dynaplanin All Producers run for GNPS Analogs figure +/- MSDIAL output
title: All dynaplanin producing strains in our collection (all Couchioplanes strains except Micromonospora sp. M42) grown for 5 days at 30C on ISP4 agar medium with glucose replacing starch and added MOPS (abbreviated ISP4g+MOPS). All strains were grown on 1 plate (some as both a lawn and a single patch), extracted with EtAc, dried, resuspended in 100% MeOH + 10ng/mL reserpine as an internal standard. Each file was converted to mzXML and also run through MSDIAL (exported as mgf).
DOI: 10.26182/bj5n-qn63
title: Satellite prediction of forest flowering phenology
DOI: 10.5281/zenodo.4275164
title: Annual 30-meter Dataset for Glacial Lakes in High Mountain Asia from 2008 to 2017

description: We developed a High Mountain Asia (HMA) Glacial Lake Inventory (Hi-MAG) database to characterize the annual coverage of glacial lakes from 2008 to 2017 at 30 m resolution. For the development of the Hi-MAG database, a total of 40,481 satellite images including Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI were used, and a systematic glacial lake detection method that comprised the automated processing using GEE and subsequent manual refinement of these lake mapping results were applied. This is the first glacial lake inventory across the HMA with annual temporal resolution, it can provide details for different types of glacial lakes and evolution patterns. It can be used for studies of the complex interactions between glaciers, climate, and glacial lakes, and GLOFs, potential downstream risks, and water resources.
description: The creation of this data set was funded by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19030101), the International Partnership Program of the Chinese Academy of Sciences (131211KYSB20170046/131C11KYSB20160061), and the National Natural Science Foundation of China (41871345). SA was supported by the EVOGLAC project under the Swiss National Science Foundation (IZLCZ2_169979/1).
DOI: 10.5281/zenodo.3700281
title: Annual 30-meter Dataset for Glacial Lakes in High Mountain Asia from 2008 to 2017

description: We developed a High Mountain Asia (HMA) Glacial Lake Inventory (Hi-MAG) database to characterize the annual coverage of glacial lakes from 2008 to 2017 at 30 m resolution. For the development of the Hi-MAG database, a total of 40,481 satellite images including Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI were used, and a systematic glacial lake detection method that comprised the automated processing using GEE and subsequent manual refinement of these lake mapping results were applied. This is the first glacial lake inventory across the HMA with annual temporal resolution, it can provide details for different types of glacial lakes and evolution patterns. It can be used for studies of the complex interactions between glaciers, climate, and glacial lakes, and GLOFs, potential downstream risks, and water resources.
description: The creation of this data set was funded by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19030101), the International Partnership Program of the Chinese Academy of Sciences (131211KYSB20170046/131C11KYSB20160061), and the National Natural Science Foundation of China (41871345). SA was supported by the EVOGLAC project under the Swiss National Science Foundation (IZLCZ2_169979/1).
DOI: 10.25345/c5vf5n
title: MassIVE MSV000086548 - Examining collagen preservation through glutamine deamidation at Denisova Cave
title: Samples were used for a study on the ability to use deamidation rates to assess relative chronology at Denisova Cave. The majority of the samples for the study were analyzed using peptide mass fingerprinting (data publicly available - see associated manuscript for details). 15 samples from 7 layers in Denisova Cave were chosen for LC-MS/MS analysis. Prior to analysis samples were demineralized in hydrochloric acid, gelatinized in ammonium bicarbonate, digested with trypsin, and desalted with C18 ZipTips. Data was processed using Byonic with SwissProt as the database to obtain a focused database of just the proteins present in the samples. This focused database was combined with curated collagen sequences (database presented here) and used for analysis with MaxQuant and deamiDATE. For more details see associated publication. Provided here are the raw files, peak lists for Byonic, results files for Byonic, sequence database (focused database and currated collagen sequences), metadata file with information linking the file names here to the file names of the peptide mass fingerprinting samples, and a zip file of the Max Quant and deamiDATE results.
DOI: 10.6084/m9.figshare.12987530
title: A new type of dual scale neighborhood based on vectorization for cellular automata models

description: Although the neighborhood of the cellular automata (CA) model has been studied in detail, there is a contradiction in the selection of the neighborhood size, which has not been revealed and addressed. Small neighborhoods can constrain the shape complexity of simulated landscape, but they cannot sufficiently characterize the local interactions, while large neighborhoods do the opposite. This study proposes a new type of dual scale neighborhood (DSN) based on vectorization to avoid this contradiction, which incorporates a small neighborhood of pattern constraining (PCN) and a large neighborhood of influence receiving (IRN). Taking Beijing, Wuhan, and Pearl River Delta as the study areas, two kinds of CA models, namely, CA model using the original neighborhood (ORN-CA) and CA model using the DSN (DSN-CA), were constructed based on serial scalar algorithm and vectorized algorithm, respectively. Comparing their simulation results and time required, the results show that the DSN enable users to choose the appropriate neighborhood configuration to obtain the simulation results with high accuracy and landscape similarity to the actual, and the vectorization can greatly improve the computational efficiency of neighborhood effects. Integrating the DSN with the vectorization can significantly improve the simulation performance and efficiency of CA models.<br>
DOI: 10.6084/m9.figshare.12987530.v3
title: A new type of dual scale neighborhood based on vectorization for cellular automata models

description: Although the neighborhood of the cellular automata (CA) model has been studied in detail, there is a contradiction in the selection of the neighborhood size, which has not been revealed and addressed. Small neighborhoods can constrain the shape complexity of simulated landscape, but they cannot sufficiently characterize the local interactions, while large neighborhoods do the opposite. This study proposes a new type of dual scale neighborhood (DSN) based on vectorization to avoid this contradiction, which incorporates a small neighborhood of pattern constraining (PCN) and a large neighborhood of influence receiving (IRN). Taking Beijing, Wuhan, and Pearl River Delta as the study areas, two kinds of CA models, namely, CA model using the original neighborhood (ORN-CA) and CA model using the DSN (DSN-CA), were constructed based on serial scalar algorithm and vectorized algorithm, respectively. Comparing their simulation results and time required, the results show that the DSN enable users to choose the appropriate neighborhood configuration to obtain the simulation results with high accuracy and landscape similarity to the actual, and the vectorization can greatly improve the computational efficiency of neighborhood effects. Integrating the DSN with the vectorization can significantly improve the simulation performance and efficiency of CA models.<br>
DOI: 10.6084/m9.figshare.12987530.v2
title: A new type of dual scale neighborhood based on vectorization for cellular automata models

description: Although the neighborhood of the cellular automata (CA) model has been studied in detail, there is a contradiction in the selection of the neighborhood size, which has not been revealed and addressed. Small neighborhoods can constrain the shape complexity of simulated landscape, but they cannot sufficiently characterize the local interactions, while large neighborhoods do the opposite. This study proposes a new type of dual scale neighborhood (DSN) based on vectorization to avoid this contradiction, which incorporates a small neighborhood of pattern constraining (PCN) and a large neighborhood of influence receiving (IRN). Taking Beijing, Wuhan, and Pearl River Delta as the study areas, two kinds of CA models, namely, CA model using the original neighborhood (ORN-CA) and CA model using the DSN (DSN-CA), were constructed based on serial scalar algorithm and vectorized algorithm, respectively. Comparing their simulation results and time required, the results show that the DSN enable users to choose the appropriate neighborhood configuration to obtain the simulation results with high accuracy and landscape similarity to the actual, and the vectorization can greatly improve the computational efficiency of neighborhood effects. Integrating the DSN with the vectorization can significantly improve the simulation performance and efficiency of CA models.<br>
DOI: 10.6084/m9.figshare.13323128.v1
title: Data of clinical trials.xlsx

description: ChiCTR Registration number：ChiCTR1800016301；Public title：A clinical trial of correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement；Scientific title：Correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement
DOI: 10.6084/m9.figshare.13323128
title: Data of clinical trials.xlsx

description: ChiCTR Registration number：ChiCTR1800016301；Public title：A clinical trial of correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement；Scientific title：Correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement
DOI: 10.6084/m9.figshare.13323128.v2
title: Data of clinical trials.xlsx

description: ChiCTR Registration number：ChiCTR1800016301；Public title：A clinical trial of correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement；Scientific title：Correlation study on 15N-glycine labeling technique and CO breath test in human erythrocyte lifespan measurement
DOI: 10.6084/m9.figshare.13291883.v1
title: Microstructure data set (TBW, OS, TBS, OB)

description: Microstructure data set (TBW, OS, TBS, OB) used for Masunaga et al (2020) submitted to Limnology and Oceanography Letters.
DOI: 10.6084/m9.figshare.13291883
title: Microstructure data set (TBW, OS, TBS, OB)

description: Microstructure data sets (TBW, OS, TBS, OB) used for Masunaga et al (2020) submitted to Limnology and Oceanography Letters.
DOI: 10.6084/m9.figshare.13291883.v3
title: Microstructure data set (TBW, OS, TBS, OB)

description: Microstructure data sets (TBW, OS, TBS, OB) used for Masunaga et al (2020) submitted to Limnology and Oceanography Letters.
DOI: 10.6084/m9.figshare.13291883.v2
title: Microstructure data set (TBW, OS, TBS, OB)

description: Microstructure data sets (TBW, OS, TBS, OB) used for Masunaga et al (2020) submitted to Limnology and Oceanography Letters.
DOI: 10.5519/qd.traxxmbc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.aj7xxg6z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.12715274.v1
title: dataset for water extraction

description: the datsets have 303 samples selected from 1003 raw samples for category balance.The category includes water, no water and their edges.
DOI: 10.6084/m9.figshare.12715274
title: dataset for water extraction

description: the datsets have 303 samples selected from 1003 raw samples for category balance.The category includes water, no water and their edges.
DOI: 10.17632/tff23hg6c8.1
title: Data for: Assessment of single isocenter linear accelerator radiosurgery for metastases and base of skull lesions

description: The data is from a study comparing Gamma Knife treatment plans to mono-isocentric plans for linear accelerator using the hyperarc module. The comparison data has both base of skull (BOS), and both single and multiple metastases (MET) patients. The data is split both by type of lesion (BOS vs MET) as well as by size (&lt;1cc vs &gt;1cc).
DOI: 10.6073/pasta/e59b1b3f75600c9bfea13beba97758c4
title: Brazil nut fruit production and growth from two sites in Acre, Brazil 2010-2019

description: Data on fruit production and diameter were collected annually from a stratified sample of 129 Bertholletia excelsa trees in each of two extractive reserves. The large, canopy-emergent B. excelsa is a cornerstone of the Amazonian extractive economy, supporting a multimillion-dollar commodity crop (Brazil nut), which is harvested almost exclusively from old-growth terra firme forests. The same sampling protocols were followed in the two reserves, Filipinas and Cachoeira, located in Acre, Brazil, which have similar climate and forest types. The objective of the project was to assess the drivers of production at a tree- and site-level using data from 2010-2015 and 2016-2019. Tree-level data included information on tree crown size and form, as well as competition from neighboring trees. These data have been supplemented by publicly available observations of climate to assess the relative effects of individual tree and site-level factors, as well as climatic variability, on long-term productivity of this economically and ecologically important long-lived tree.
DOI: 10.5281/zenodo.4301114
title: Consolidated criteria for reporting qualitative studies (COREQ): 32-item checklist for "The experience of adherence among hemodialysis patients undergoing therapeutic regimen: a qualitative study"

description: Reporting guidelines Consolidated criteria for reporting qualitative studies (COREQ): 32-item checklist for "The experience of adherence among hemodialysis patients undergoing therapeutic regimen: a qualitative study"
DOI: 10.5281/zenodo.4301113
title: Consolidated criteria for reporting qualitative studies (COREQ): 32-item checklist for "The experience of adherence among hemodialysis patients undergoing therapeutic regimen: a qualitative study"

description: Reporting guidelines Consolidated criteria for reporting qualitative studies (COREQ): 32-item checklist for "The experience of adherence among hemodialysis patients undergoing therapeutic regimen: a qualitative study"
DOI: 10.6084/m9.figshare.13323248
title: Data for: Grazing by over-abundant native herbivores jeopardizes conservation goals in semi-arid reserves

description: This is a repository containing all data used in analyses for Mills et al (2020) Grazing by over-abundant native herbivores jeopardizes conservation goals in semi-arid reserves. Global Ecology and Conservation e01384. The open access paper is available here: https://doi.org/10.1016/j.gecco.2020.e01384. The paper uses vegetation, soil and mammal assemblage data collected in semi-arid Australia in 2018. Anlayses were conducted in SPSS and thus code is unavailable. Get in touch at charlottemills90@gmail.com or m.letnic@unsw.edu.au if you have any questions.