cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e152081v1-136740
title: 2008 Abortion Patient Survey

description: The 2008 Abortion Patient Survey is the Guttmacher Institute’s fourth in a series and uses a design and questionnaire similar to the four earlier studies, which were conducted in 1987, 1994–1995, 2000–2001. The data are from women obtaining abortions at a nationally representative sample of health facilities in 2008. A total of 9,493 abortion patients at 95 facilities provided information about demographic characteristics, contraceptive use in the month they became pregnant, health insurance coverage, how they were paying for abortion services, foreign-born status, happiness about the current pregnancy, knowledge about the pregnancy, abortion-related stigma, and other topics. <br>
description: We employed a three-stage weighting process to correct for any bias produced by deviation from the original sampling plan and patient nonresponse. First, individual weights were developed to adjust for the demographic characteristics of the 1,162 nonrespondents for whom facility staff provided information. Second, facility-level weights adjusted for the other 2,210 nonrespondents for whom no demographic data were available. Third, stratum weights were constructed to correct for departures from the number of facilities to be sampled in each grouping by caseload and provider type. The main weight variable is weight3. To obtain accurate standard errors, most analyses should also account for the fact that the sample was stratified by using the stratum variable, strata.
description: Response Rates: During fielding periods, participating facilities reported providing a total of 12,866 abortions. Usable questionnaires were obtained from 9,493 patients, for a response rate of 74%.
description: Participating facilities were sampled from the universe of all known abortion-providing facilities as of 2005, according to information obtained from the Guttmacher Institute’s 2006 Abortion Provider Census. The universe was stratified by provider type (hospital or non-hospital) and 2005 caseload rounded to the nearest 10 (30–390 abortions, 400–1,990, 2,000–4,990, and 5,000 or more), and then organized by census region and state within each stratum. Next, we systematically sampled facilities from each stratum by selecting them at specified intervals within the list; the interval varied by stratum. Facilities with the largest caseloads were oversampled to ensure a diverse representation of facility types within the sample. Selected facilities were then recruited and assigned to a survey period that was inversely proportional to the probability of being selected, ranging from two weeks for the largest facilities to 12 weeks for the smallest. During this period, facility contacts were asked to administer the questionnaire to all patients obtaining an abortion on the day of their procedure.
description: Women who obtained an abortion in the United States. Smallest Geographic Unit: State
description: on-site questionnaire;
DOI: 10.35077/act-irk
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 819185246

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: https://www.protocols.io/view/patch-seq-recording-and-extraction-detailed-protoc-5qpvoyb2bg4o/v2, https://www.protocols.io/view/3d-reconstruction-of-neurons-in-vaa3d-v-3-36wgq5683gk5/v3
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 819185246', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'H19.03.302', Species:'Human', NCBITaxonomy:'NCBI:txid9606', Age:'42', Ageunit:'years', Sex:'Male', Genotype:'culture, enhancer AAV', OrganName:'Brain', SampleLocalID:'819185246', Atlas:'Ding, Song-Lin et al. “Comprehensive cellular-resolution atlas of the adult human brain.” The Journal of comparative neurology vol. 524,16 (2016): 3127-481. doi:10.1002/cne.24080', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'Vaa3D', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.44'
DOI: 10.5281/zenodo.7847298
title: Small Modular Reactor Neutronics Challenge Problem Input Files for OpenMC

description: OpenMC is part of the small modular reactor (SMR) simulation subproject "ExaSMR" in the broader Exascale Computing Project (ECP), which is a US DOE project. The goal of the ExaSMR project is to enable extreme-fidelity simulation of SMRs, which have been a recent focus of engineering development. These reactors are of great interest due to their ability to economically provide consistent baseload power while avoiding many of the downsides of traditional (large) reactor designs. Part of the ExaSMR project was to define a representative challenge problem. The problem defined in this input dataset to OpenMC is a realistic SMR geometry that represents the NuScale reactor design recently licensed by the US Nuclear Regulatory Commission. The SMR problem is also defined with the goal of depletion calculations in mind, where hundreds of nuclides are present in the reactor fuel, and isoptic content lists are maintained for hundreds of thousands of unique fuel burnup regions throughout the reactor core. While the SMR problem is defined in-depth in Reference [1], we give an overview of additional key input parameters below that illustrate the difficulty of the simulation:<br> Parameter Value Number of unique materials 195,368 Number of unique fuel materials 195,360 Number of depletion tally regions 195,360 Number of nuclides in each fuel region 244 Number of nuclides in simulation 281 Overall, the ExaSMR challenge problem forms an ideal basis for performance analysis due to its relevance to the nuclear industry and its prominence as a high performance computing "hero problem" as part of ECP. For these reasons, we will use the SMR problem as the main basis of our performance analysis and scaling challenges. The model is also available in python format at: https://github.com/mit-crpg/ecp-benchmarks/tree/fom-model References: [1] Kord Smith. 2017. NuScale Small Modular Reactor (SMR) Progression Problems for the ExaSMR Project. Milestone Report WBS 1.2.1.08 ECP-SE-08-43. Exascale Computing Project.
DOI: 10.5281/zenodo.7847297
title: Small Modular Reactor Neutronics Challenge Problem Input Files for OpenMC

description: OpenMC is part of the small modular reactor (SMR) simulation subproject "ExaSMR" in the broader Exascale Computing Project (ECP), which is a US DOE project. The goal of the ExaSMR project is to enable extreme-fidelity simulation of SMRs, which have been a recent focus of engineering development. These reactors are of great interest due to their ability to economically provide consistent baseload power while avoiding many of the downsides of traditional (large) reactor designs. Part of the ExaSMR project was to define a representative challenge problem. The problem defined in this input dataset to OpenMC is a realistic SMR geometry that represents the NuScale reactor design recently licensed by the US Nuclear Regulatory Commission. The SMR problem is also defined with the goal of depletion calculations in mind, where hundreds of nuclides are present in the reactor fuel, and isoptic content lists are maintained for hundreds of thousands of unique fuel burnup regions throughout the reactor core. While the SMR problem is defined in-depth in Reference [1], we give an overview of additional key input parameters below that illustrate the difficulty of the simulation:<br> Parameter Value Number of unique materials 195,368 Number of unique fuel materials 195,360 Number of depletion tally regions 195,360 Number of nuclides in each fuel region 244 Number of nuclides in simulation 281 Overall, the ExaSMR challenge problem forms an ideal basis for performance analysis due to its relevance to the nuclear industry and its prominence as a high performance computing "hero problem" as part of ECP. For these reasons, we will use the SMR problem as the main basis of our performance analysis and scaling challenges. The model is also available in python format at: https://github.com/mit-crpg/ecp-benchmarks/tree/fom-model References: [1] Kord Smith. 2017. NuScale Small Modular Reactor (SMR) Progression Problems for the ExaSMR Project. Milestone Report WBS 1.2.1.08 ECP-SE-08-43. Exascale Computing Project.
DOI: 10.5281/zenodo.7830206
title: 101-nights -sleep and dream study night 067

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7830205
title: 101-nights -sleep and dream study night 067

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7827032
title: 101-nights -sleep and dream study night 066

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7827031
title: 101-nights -sleep and dream study night 066

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5517/ccdc.csd.cc2bg4rq
title: CCDC 2158553: Experimental Crystal Structure Determination

description: Related Article: Yuji Qin, Liang Qi, Xiang Zhen, Xueqing Wang, Hongli Chai, Xingyu Ma, Xianxing Jiang, Xiaoqing Cai, Weiwei Zhu|2023|J.Org.Chem.|88|4359|doi:10.1021/acs.joc.2c02967
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bq5kt
title: CCDC 2166266: Experimental Crystal Structure Determination

description: Related Article: Pretam Kumar, Tahira Firdoos, Rosa M. Gomila, Antonio Frontera, Sushil K. Pandey|2023|Cryst.Growth Des.|23|2138|doi:10.1021/acs.cgd.2c01173
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bslmc
title: CCDC 2168593: Experimental Crystal Structure Determination

description: Related Article: Pretam Kumar, Tahira Firdoos, Rosa M. Gomila, Antonio Frontera, Sushil K. Pandey|2023|Cryst.Growth Des.|23|2138|doi:10.1021/acs.cgd.2c01173
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: 10.5281/zenodo.7796584
title: 101-nights -sleep and dream study night 033

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101-nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7796583
title: 101-nights -sleep and dream study night 033

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101-nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA