cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/bb18afaffaa4f1260d1ffa2936b77168
title: Measurements of water column chemistry taken hourly over 24-hour periods at three sites in West Falmouth Harbor from 2006 to 2019

description: West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000’s. As part of a long-term study into the effects of this nitrogen enrichment, we have been measuring water chemistry at stations throughout the harbor to examine nutrient concentrations along the gradient from the highest loaded areas of the site to the most well-flushed. Water samples were taken hourly over 24-hour periods at 3 stations between 2006 and 2019. Due to covid restrictions on field and laboratory work, samples were not collected in 2020-2021; sample collection resumed in 2022 and data will be added after analysis. One station is in the well-flushed outer basin (OH) and one in the inner basin closer to the dominant groundwater N source (Snug Harbor, SH). These two were sampled at least once per year between 2006 and 2019. In two years, samples in the OH were taken at a location approximately 140m from the long-term site from this dataset. Those data can be accessed at doi:10.6073/pasta/73408abf801827966041c219f4222c1f. A third station is in the middle between the two, and was sampled in 2016 and 2018. Samples were processed for ammonium, phosphate, nitrate + nitrite, total nitrogen, and total phosphorus. On some dates, additional samples were run for silicate and chlorophyll. Salinity is reported for all samples. Samples were collected with an ISCO autosampler and stored on ice until analysis. Full analysis details and quality control methods are available in Hayn et al. 2014 (doi: 10.1007/s12237-013-9699-8).
DOI: 10.57833/cidacs/ym4ule
title: Índice Socioeconômico do Contexto Geográfico para Estudos em Saúde (GeoSES) Nacional

description: Dados do Índice Socioeconômico do Contexto Geográfico para Estudos em Saúde (GeoSES) calculado a nível nacional, envolvendo todos os municípios do País. Este índice resume as principais dimensões socioeconômicas para fins de pesquisa, avaliação e monitoramento das desigualdades em saúde no Brasil. Elaborado a partir dos dados do Censo Demográfico 2010. O GeoSES foi desenvolvido pelo PROADI-SUS “Projeto Big Data”, executado pelo Hospital Israelita Albert Einstein (HIAE) para o Ministério da Saúde, sob coordenação do Departamento de Monitoramento e Avaliação do SUS (DEMAS).
DOI: 10.57833/cidacs/pbk9la
title: Índice Socioeconômico do Contexto Geográfico para Estudos em Saúde (GeoSES) Estadual

description: Dados do Índice Socioeconômico do Contexto Geográfico para Estudos em Saúde (GeoSES) calculado a nível estadual, fornece o índice de cada município dentro do seu respectivo estado. Este índice resume as principais dimensões socioeconômicas para fins de pesquisa, avaliação e monitoramento das desigualdades em saúde no Brasil. Elaborado a partir dos dados do Censo Demográfico 2010. O GeoSES foi desenvolvido pelo PROADI-SUS “Projeto Big Data”, executado pelo Hospital Israelita Albert Einstein (HIAE) para o Ministério da Saúde, sob coordenação do Departamento de Monitoramento e Avaliação do SUS (DEMAS).
DOI: 10.57833/cidacs/5ufnsi
title: Índice Socioeconômico do Contexto Geográfico para Estudos em Saúde (GeoSES) Intramunicipal

description: Dados do Índice Socioeconômico do Contexto Geográfico para Estudos em Saúde (GeoSES) calculado a nível intramunicipal, fornece um índice para cada região dos municípios que possuem 3 ou mais áreas de ponderação. Este índice resume as principais dimensões socioeconômicas para fins de pesquisa, avaliação e monitoramento das desigualdades em saúde no Brasil. Elaborado a partir dos dados do Censo Demográfico 2010. O GeoSES foi desenvolvido pelo PROADI-SUS “Projeto Big Data”, executado pelo Hospital Israelita Albert Einstein (HIAE) para o Ministério da Saúde, sob coordenação do Departamento de Monitoramento e Avaliação do SUS (DEMAS).
DOI: 10.5066/p9209xw4
title: Projections of 5 coupled scenarios of land-use change and groundwater sustainability for California's Central Coast (2001-2061) - LUCAS-W model

description: LUCAS-W is a scenario-based simulation model of coupled land use change and associated water demand for California's Central Coast region from 2001-2061. The model is a verison of the LUCAS model, which uses the SyncroSim software framework (Software documentation available at http://doc.syncrosim.com/index.php?title=Reference_Guide), that contains a new coupling with statistical software R (https://www.r-project.org/) to enable dynamic feedbacks between land-use change, resulting water demand, and water availability. The model was parameterized with land-use change and water use empirically estimated from county-scale historic data, as well as results from dozens of local agencies&rsquo; groundwater modeling efforts. It was used to assess a set of five stakeholder-driven scenarios that explored alternative development pathways assuming the continuation of historic land use change rates but with different intensities of water supply and land-use management. Water management strategies were (1) water demand limits, and (2) water supply enhancement, while land use management strategies were (3) urban sprawl limits on recharge areas and prime farmland, and (4) preservation of priority habitat areas. By scaling up studies of local-scale diverse, heterogeneous aquifers and management approaches to a regional level, the model can enable a projection of spatial changes due to shifts in LULC and water management including leakage from land and water use regulated areas into unregulated areas, information that is key to future agency planning for sustainability. The resulting land-use projections provide a range of development projections under different sets of management assumptions: patterns of development that do not stabilize &ldquo;business-as-usual&rdquo; (WL), assume that water demand stabilizes at a range of possible sustainable water supply levels (MM, WH), and that assume a relatively unregulated (LL) or tightly compact (LH) pattern of future development. See Van Schmidt et al. (2021) Water Resources Research (doi: XXXXXXXXXXXXX) for more details.
DOI: 10.17632/h2zf8gbv42.1
title: Software runtime execution trace dataset for runtime anomaly detection 

description: Here is the datasets for software runtime anomaly detection methods.
The data in the trainingDatasets folder contains times series collected during software execution. Due to the storage limits, we only upload partiall time series here, other data are provided on request. (email at the author)
As for the evaluationDatasets, here are two folder, the norm folder contains the samples with fixed length 1000 collected from normal runs,
the anomalies folder contains the samples collected from abnormal runs.
DOI: 10.17632/y7sys9krrh.1
title: LINF_340016300

description: myosin IB heavy chain
Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.21751436
title: Tuberculosis in prisons. Importance of considering the clustering in the analysis in cross-sectional studies

description: This is the supplementary material that includes: 1) Systematic search in PubMed to identify those publications whose main objective was to estimate the prevalence of TB and the risk factors associated with TB. 2) The two datasets used to show the impact of adjustment versus failure to adjust by the cluster structure and make researchers aware of diseases in prisons, especially infections such as tuberculosis. We compare log-binomial and Poisson regression models, Generalized Estimating Equations, and mixed-effects regression models. We illustrate our methodology with two studies of tuberculosis in prisons
DOI: 10.6084/m9.figshare.21751436.v1
title: Tuberculosis in prisons. Importance of considering the clustering in the analysis in cross-sectional studies

description: This is the supplementary material that includes: 1) Systematic search in PubMed to identify those publications whose main objective was to estimate the prevalence of TB and the risk factors associated with TB. 2) The two datasets used to show the impact of adjustment versus failure to adjust by the cluster structure and make researchers aware of diseases in prisons, especially infections such as tuberculosis. We compare log-binomial and Poisson regression models, Generalized Estimating Equations, and mixed-effects regression models. We illustrate our methodology with two studies of tuberculosis in prisons
DOI: 10.6084/m9.figshare.21753308.v1
title: Discretized MNIST for Digital Circuits and Neural Networks Based on Acid-Base Chemistry Implemented by Dual-Rail Encoding and Robotic Fluid Handling

description: A discretized version (binary & 3-bit) version of the MNIST dataset for Nature Communications paper " Digital Circuits and Neural Networks Based on Acid-Base Chemistry Implemented by Dual-Rail Encoding and Robotic Fluid Handling "
DOI: 10.34740/kaggle/dsv/4745799
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7457637
title: Quelques remarques sur la subjectivité langagière / Some Remarks on Linguistic Subjectivity

description: Dans ce travail, nous nous proposons d’étudier le discours de l’hypostase de la subjectivité langagière, le sujet de l’énonciation laissant presque toujours des traces dans son énoncé. Nous essayerons de répondre à la question suivante : quelles sont les marques linguistiques de la subjectivité mises en oeuvre dans un discours ? Autrement dit, nous interrogerons ce qu’un locuteur dit de manière explicite, ce qu’il laisse entendre, ce qu’il montre dans son discours et ce qu’il laisse voir de son « moi » intérieur, délibérément ou pas. Premièrement nous essayerons d’exposer différentes acceptions de la notion de subjectivité dans le langage, extraites des plus importantes approches linguistiques de l’énonciation, puis nous parlerons des déictiques, qui ont l’importante vocation de convertir la langue en parole (on rappellera ici les pronoms personnels et les démonstratifs). Ensuite nous présenterons brièvement les parties du discours à trait subjectif (les substantifs subjectifs, les adjectifs subjectifs, les verbes subjectifs et les adverbes subjectifs), pour parler finalement de la subjectivité explicite /vs/ implicite. Pour réaliser ce travail, nous nous sommes servis de la théorie de C. Kerbrat-Orecchioni sur la subjectivité dans le langage, mais aussi des plus importantes approches linguistiques de l’énonciation du XXe siècle.
DOI: 10.5281/zenodo.7457636
title: Quelques remarques sur la subjectivité langagière / Some Remarks on Linguistic Subjectivity

description: Dans ce travail, nous nous proposons d’étudier le discours de l’hypostase de la subjectivité langagière, le sujet de l’énonciation laissant presque toujours des traces dans son énoncé. Nous essayerons de répondre à la question suivante : quelles sont les marques linguistiques de la subjectivité mises en oeuvre dans un discours ? Autrement dit, nous interrogerons ce qu’un locuteur dit de manière explicite, ce qu’il laisse entendre, ce qu’il montre dans son discours et ce qu’il laisse voir de son « moi » intérieur, délibérément ou pas. Premièrement nous essayerons d’exposer différentes acceptions de la notion de subjectivité dans le langage, extraites des plus importantes approches linguistiques de l’énonciation, puis nous parlerons des déictiques, qui ont l’importante vocation de convertir la langue en parole (on rappellera ici les pronoms personnels et les démonstratifs). Ensuite nous présenterons brièvement les parties du discours à trait subjectif (les substantifs subjectifs, les adjectifs subjectifs, les verbes subjectifs et les adverbes subjectifs), pour parler finalement de la subjectivité explicite /vs/ implicite. Pour réaliser ce travail, nous nous sommes servis de la théorie de C. Kerbrat-Orecchioni sur la subjectivité dans le langage, mais aussi des plus importantes approches linguistiques de l’énonciation du XXe siècle.
DOI: 10.5281/zenodo.7459463
title: wellness days

description: raw data from surveys administered longitudinally over 3 years to graduate medical education trainees about their utilization of wellness days
DOI: 10.5281/zenodo.7459462
title: wellness days

description: raw data from surveys administered longitudinally over 3 years to graduate medical education trainees about their utilization of wellness days
DOI: 10.6073/pasta/95701ffd33fcf6ad205f068c43f7ba3f
title: Seagrass morphometry and chlorophyll content at nine stations along a eutrophication gradient in West Falmouth Harbor, 2019

description: West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000’s. As part of a long-term study into the effects of this nitrogen enrichment, in 2019 we sampled seagrass (Zostera marina) to assess the relationship between sediment biogeochemistry and seagrass ecosystem parameters. This dataset contains information on aboveground and belowground biomass ratios, seagrass density, epiphyte biomass, and chlorophyll content from sites across the eelgrass bed in West Falmouth Harbor that receive varying inputs of nitrogen. The data supports findings reported in Haviland et al., 2022 (https://doi.org/10.1002/lno.12025).
DOI: 10.5281/zenodo.7458360
title: Dataset of Last Interglacial climate from publication "Modeled storm surge changes in a warmer world: the Last Interglacial" by P. Scussolini et al.

description: Results from the simulation of Last Interglacial (Eemian) climate with climate model CESM1.2. Variables are: sea-level pressure (PSL); meridional wind (V), and zonal wind (U). Time step is 6-hourly. Detailed description of the methods are in the original publication: Scussolini, P., Dullaart, J., Muis, S., Rovere, A., Bakker, P., Coumou, D., Renssen, H., Ward, P. J., and Aerts, J. C. J. H.: Modelled storm surge changes in a warmer world: the Last Interglacial, EGUsphere, 2022, 1-20, 10.5194/egusphere-2022-101, 2022.
DOI: 10.5281/zenodo.7458359
title: Dataset of Last Interglacial climate from publication "Modeled storm surge changes in a warmer world: the Last Interglacial" by P. Scussolini et al.

description: Results from the simulation of Last Interglacial (Eemian) climate with climate model CESM1.2. Variables are: sea-level pressure (PSL); meridional wind (V), and zonal wind (U). Time step is 6-hourly. Detailed description of the methods are in the original publication: Scussolini, P., Dullaart, J., Muis, S., Rovere, A., Bakker, P., Coumou, D., Renssen, H., Ward, P. J., and Aerts, J. C. J. H.: Modelled storm surge changes in a warmer world: the Last Interglacial, EGUsphere, 2022, 1-20, 10.5194/egusphere-2022-101, 2022.
DOI: 10.6084/m9.figshare.21753308
title: Deleted

description: Deleted
DOI: 10.6084/m9.figshare.21753308.v3
title: Deleted

description: Deleted
DOI: 10.6084/m9.figshare.21753308.v2
title: Discretized MNIST for Digital Circuits and Neural Networks Based on Acid-Base Chemistry Implemented by Dual-Rail Encoding and Robotic Fluid Handling

description: A discretized version (binary & 3-bit) version of the MNIST dataset for Nature Communications paper " Digital Circuits and Neural Networks Based on Acid-Base Chemistry Implemented by Dual-Rail Encoding and Robotic Fluid Handling "
DOI: 10.5517/ccshjc4
title: CCDC 729906: Experimental Crystal Structure Determination

description: Related Article: Yu.V.Kokunov, Yu.E.Gorbunova, G.A.Razgonyaeva|2009|Koord.Khim.|35|891|
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/icpsr38242.v1
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2018
title: Version 1

description: The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2018. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt and the Bureau of Justice Statistics. Data and documentation were prepared by Abt.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2018
description: Suspects in federal criminal matters received by United States attorneys or filed before United States magistrates during fiscal year 2018.
DOI: 10.3886/icpsr38242
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2018
title: Archival Version

description: The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2018. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt and the Bureau of Justice Statistics. Data and documentation were prepared by Abt.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2018
description: Suspects in federal criminal matters received by United States attorneys or filed before United States magistrates during fiscal year 2018.
DOI: 10.5281/zenodo.7459754
title: Survey Dataset

description: This files presents the survey dataset.
DOI: 10.5281/zenodo.7459753
title: Survey Dataset

description: This files presents the survey dataset.
DOI: 10.26078/x9ez-2x27
title: Parietti Wetlands Water, Sediment and Plant Total Selenium Concentration
DOI: 10.6084/m9.figshare.21753548
title: BWH_11/2022_7T

description: Additional scans at 7T incl. a DWI
DOI: 10.6084/m9.figshare.21753548.v1
title: BWH_11/2022_7T

description: Additional scans at 7T incl. a DWI
DOI: 10.5281/zenodo.7458652
title: Wikidata Dump english_dump

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 99962315, <b>statement count</b>: 1424821118, <b>triple count</b>: 1924502485</b></b>
DOI: 10.5281/zenodo.7458651
title: Wikidata Dump english_dump

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 99962315, <b>statement count</b>: 1424821118, <b>triple count</b>: 1924502485</b></b>
DOI: 10.6084/m9.figshare.21753611
title: Kennedy - GAO - Data.dta

description: A collection of data used in an analysis of congressional oversight via the Government Accountability Office and congressional committee hearings. Stata and Excel formats.
DOI: 10.6084/m9.figshare.21753611.v2
title: Kennedy - GAO - Data.dta

description: A collection of data used in an analysis of congressional oversight via the Government Accountability Office and congressional committee hearings. Stata and Excel formats.
DOI: 10.6084/m9.figshare.21753611.v1
title: Kennedy - GAO - Data.dta

description: A collection of data used in an analysis of congressional oversight via the Government Accountability Office and congressional committee hearings.
DOI: 10.6084/m9.figshare.21714287.v1
title: Microsatellite data of Macrocystis pyrifera in New Zealand

description: Microsatellite genotype data for the giant kelp <em>Macrocystis pyrifera.</em>
DOI: 10.6084/m9.figshare.21753554
title: BOLD-100 response in a panel of cancer cell lines

description: Sensitivity profile of BOLD-100 and cisplatin across a 319 cancer cell line panel. IC50, AUC, GRmax, GR50 provided for both cisplatin and BOLD-100. Tissue type, subtype and cell culture media for each of the 319 cancer cell lines used.
DOI: 10.6084/m9.figshare.21753554.v1
title: BOLD-100 response in a panel of cancer cell lines

description: Sensitivity profile of BOLD-100 and cisplatin across a 319 cancer cell line panel. IC50, AUC, GRmax, GR50 provided for both cisplatin and BOLD-100. Tissue type, subtype and cell culture media for each of the 319 cancer cell lines used.
DOI: 10.6084/m9.figshare.21714287
title: Microsatellite data of Macrocystis pyrifera in New Zealand

description: Microsatellite genotype data for the giant kelp <em>Macrocystis pyrifera.</em>
DOI: 10.6084/m9.figshare.3761562.v2430
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc10y2lm
title: CCDC 951470: Experimental Crystal Structure Determination

description: Related Article: Jiang-fang Cao, Zi-ping Huang, Chun-chun Cheng, Chun-yan Sun|2015|Lanzhou Ligong Daxue Xuebao|41|80|
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: 10.6084/m9.figshare.21300924
title: Data: Effects of sex and sex-related facial traits on trust and trustworthiness: An experimental sudy

description: These datasets support the findings of the article "Effects of sex and sex-related facial traits on trust and trustworthiness: An experimental study" by Rostovtseva VV, Butovskaya ML, Mezentseva AA, Weissing FJ
DOI: 10.6084/m9.figshare.21300924.v1
title: Data: Effects of sex and appearance on trust and trustworthiness

description: These datasets support the findings of the article "Effects of sex and appearance on trust and trustworthiness" by Voctovtseva VV, Butovskaya ML, Mezentseva AA, Weissing FJ
DOI: 10.26093/cds/vizier.35530115
title: Millimetric and far-IR maps of IRDC 18310-4

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Fragmentation and dynamical collapse of the starless high-mass star-forming region IRDC 18310-4.' (bibcode: 2013A&A...553A.115B)
DOI: 10.5281/zenodo.7103330
title: Watershed memory amplified the Oroville rain-on-snow flood of February 2017

description: This dataset contains all data, code, and model simulations used for the PNAS Nexus publication titled: Watershed memory amplified the Oroville rain-on-snow flood of February 2017
DOI: 10.5281/zenodo.7103329
title: Watershed memory amplified the Oroville rain-on-snow flood of February 2017

description: This dataset contains all data, code, and model simulations used for the PNAS Nexus publication titled: Watershed memory amplified the Oroville rain-on-snow flood of February 2017