cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr37431.v1
title: Survey of Consumer Attitudes and Behavior, January 2015
title: Version 1

description: The Survey of Consumer Attitudes and Behavior series (also
known as the Surveys of Consumers) was undertaken to measure changes in
consumer attitudes and expectations, to understand why such changes occur, and
to evaluate how they relate to consumer decisions to save, borrow, or make
discretionary purchases. The data regularly include the Index of Consumer
Sentiment, the Index of Current Economic Conditions, and the Index of Consumer
Expectations. Since the 1940s, these surveys have been produced quarterly through
1977 and monthly thereafter.
The surveys conducted in 2014 focused on topics such as
evaluations and expectations about personal finances, employment, price
changes, and the national business situation. Opinions were collected regarding
respondents' appraisals of present market conditions for purchasing houses,
automobiles, computers, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income, and retirement planning.
Other topics in this series typically include health care, personal investments, the national economy, and economic behavior.
Demographic information includes ethnic origin, sex, age, marital status, and
education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, this collection contains three weight variables; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Surveys of Consumers Website..
description: National sample of telephone numbers from cell (RDD) sampling frame
description: Datasets: 
DS0: Study-Level Files
DS1: Public-Use Data
DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones within the coterminous United States. Smallest Geographic Unit: FIPS code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Surveys of Consumers Website.
DOI: 10.25582/data.2024-04.3084495/2551542
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084496/2551543
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3084497/2551544
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.16100930
title: anonymous upload for peer review

description: Anonymous upload for peer reviewData and code for the study "The interplay of climate change, urbanization, and species traits shapes European butterfly population trends".

The file 'final_df.csv' contains the processed dataset used to run the models and generate the figures found in 'models_plots_fig1.R' and 'models_plots_fig2.R'.

Raw butterfly count data are not included, as they cannot be shared without prior permission and a data-sharing agreement with the European Butterfly Monitoring Scheme (EBMS): https://butterfly-monitoring.net/ebms-database.
DOI: 10.5281/zenodo.15964388
title: Chronometric Drift: A Quantifiable Model of Subjective Temporal Lag Analogous to Astrophysical Drift

description: This paper proposes a novel conceptual model termed *Chronometric Drift*, a quantifiable micro-scale time delay in human-referenced systems (e.g., setting one’s clock behind by 1 minute/day) that mirrors sidereal-solar time differences and relativistic temporal drift. The model aims to simulate how infinitesimal subjective deviations may symbolically reflect larger cosmological and relativistic phenomena. This thought experiment introduces a measurable parallel to natural drift, encouraging exploration of how human systems may unconsciously align or misalign with cosmic rhythms.

This version includes mathematical modeling, a graph comparing sidereal solar time and Chronometric Drift, and refined conceptual discussion.
DOI: 10.5281/zenodo.16034766
title: Chronometric Drift: A Quantifiable Model of Subjective Temporal Lag Analogous to Astrophysical Drift

description: This paper proposes a novel conceptual model termed *Chronometric Drift*, a quantifiable micro-scale time delay in human-referenced systems (e.g., setting one’s clock behind by 1 minute/day) that mirrors sidereal-solar time differences and relativistic temporal drift. The model aims to simulate how infinitesimal subjective deviations may symbolically reflect larger cosmological and relativistic phenomena. This thought experiment introduces a measurable parallel to natural drift, encouraging exploration of how human systems may unconsciously align or misalign with cosmic rhythms.

This version includes mathematical modeling, a graph comparing sidereal solar time and Chronometric Drift, and refined conceptual discussion.
DOI: 10.15468/dl.3yj7hp
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lessingianthus roseus"
 ]
}

 The dataset includes 215 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022532-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y65c52
title: Occurrence Download

description: A dataset containing 8947 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium scandens"
 ]
}

 The dataset includes 8947 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022528-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/zfobl9
title: VCF_FINAUX.zip

description: Fichier ZIP contenant les VCF finaux
DOI: 10.57745/xav8ou
title: Alignements Finaux.zip

description: Alignement final des 18 gènes de gluténines
DOI: 10.57745/sqmd2t
title: MAP Finaux.zip

description: MAP Finaux
DOI: 10.57745/kmow3n
title: PAV map.zip

description: Map des individus avec le SNP PAV
DOI: 10.57745/pyerjm
title: BED Finaux.zip

description: BED Finaux
DOI: 10.57745/2gjxdr
title: FAM Finaux.zip

description: FAM Finaux
DOI: 10.57745/c4upar
title: PED Finaux.zip

description: PED Finaux
DOI: 10.57745/i1o5wv
title: BIM Finaux.zip

description: BIM Finaux
DOI: 10.57745/3od91p
title: alveo_glu_FSOV_EXO-RESO

description: alignements de séquences phénotypes
DOI: 10.57745/hmaizi
title: PAV ped.zip

description: Ped des individus avec le SNP PAV
DOI: 10.15468/dl.h82smn
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vachellia drepanolobium"
 ]
}

 The dataset includes 722 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022531-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnwexq
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mantis religiosa",
 "Year 2025-2025"
 ]
}

 The dataset includes 1232 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022533-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/29566121
title: Rules and Distributions for Explainable Machine Learning

description: The scale and complexity of relational data in critical domains like chemistry, neuroscience, and social media has ignited interest in graph neural networks as performant, expressive, flexible frameworks for solving problems specified over graphs.
However, this performance comes at the cost of interpretability: the behavior of a typical neural network is, at best, a mystery.
Graph grammars, in contrast, provide a symbolic, discrete, rule-based formalism for describing transformations between graphs.
While profoundly interpretable, they are mired in the inductive biases and restrictive assumptions common to many traditional approaches to graph modeling.

This dissertation tries to diminish the discrepancy between graph neural networks and graph grammars.
The first contribution introduces Dynamic Vertex Replacement Grammars as a way of modeling temporal graph datasets with graph grammars.
The second contribution proposes an analytically-invertible normalizing flow network that learns prototypical probability distributions as intrinsic explanations for its behavior.
The third contribution shows how the attention mechanism in graph neural networks induces grammars that can act as generative post hoc explainers.

This supports the thesis that discrete rules and continuous distributions are jointly critical to the future of machine learning.
DOI: 10.7274/29566121.v1
title: Rules and Distributions for Explainable Machine Learning

description: The scale and complexity of relational data in critical domains like chemistry, neuroscience, and social media has ignited interest in graph neural networks as performant, expressive, flexible frameworks for solving problems specified over graphs.
However, this performance comes at the cost of interpretability: the behavior of a typical neural network is, at best, a mystery.
Graph grammars, in contrast, provide a symbolic, discrete, rule-based formalism for describing transformations between graphs.
While profoundly interpretable, they are mired in the inductive biases and restrictive assumptions common to many traditional approaches to graph modeling.

This dissertation tries to diminish the discrepancy between graph neural networks and graph grammars.
The first contribution introduces Dynamic Vertex Replacement Grammars as a way of modeling temporal graph datasets with graph grammars.
The second contribution proposes an analytically-invertible normalizing flow network that learns prototypical probability distributions as intrinsic explanations for its behavior.
The third contribution shows how the attention mechanism in graph neural networks induces grammars that can act as generative post hoc explainers.

This supports the thesis that discrete rules and continuous distributions are jointly critical to the future of machine learning.
DOI: 10.15468/dl.segpyv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trapa natans",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022535-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.vls0uu
title: Noiseless signal amplification in an opto-mechanical transducer

description: The high-sensitivity quantum detection of a resonant classical force acting on a quantum harmonic oscillator can be significantly improved by employing a resonant optical parametric transducer. This technique leverages the unique properties of parametric interactions to enhance the response of the measurement system while maintaining quantum-limited performance. We demonstrate that such a configuration not only enables quantum back-action evading (BAE) measurements, surpassing the Standard Quantum Limit (SQL) of sensitivity, but also provides a mechanism for noiseless amplification of the classical signal. The key to this enhancement lies in the ability of the parametric transducer to generate and separately measure the upper and lower modulation sidebands induced by the external force. By decoupling and analyzing these sidebands independently, the system becomes capable of amplifying the signal without introducing additional noise, effectively circumventing quantum measurement constraints.
DOI: 10.48577/jpl.dfqcrd
title: Differential Partitioning Behavior of Chondritic Organics in Enceladus Analog Ices

description: Aqueous mixtures of inorganic and organic solutes display complex chemical behavior upon freezing. These systems are analogous to the ocean waters of icy moons in the outer solar system, and play an important role in impacting the habitability and astrobiological potential of microenvironments contained in the ice shells. In this study, putative Enceladus ice cores are synthesized in the presence of a range of organic compounds typically found in carbonaceous chondrite meteorites (glycerol, glyceric acid, 2,3-dihydroxybenzoic acid) and their spatial distribution investigated using Raman imaging. The results demonstrate an intricate interplay among the water ice, organic, and salt phases in dictating the partitioning of these components within the ice. Specifically, glycerol and glyceric acid are found to preferentially associate with hydrohalite, the primary salt hydrate that forms upon freezing (carbonates are also observed in these samples). However, the 2,3-dihydroxybenzoic acid (DHBA) system is found to exhibit a drastically different outcome, where the DHBA molecules agglomerate into organic-rich pockets instead of being co-located with the salt hydrates. Based on the molecular interactions previously demonstrated in the crystal structure of DHBA, we assign this behavior to the hydrophobic effects from its aromatic ring and the presence of intramolecular hydrogen bonding, coupled with the slow-freezing condition that typically expels impurities from the ice and allows the DHBA molecules to come together. The findings provide insights into the chemical composition of brine channels, which hold important implications for the search of organics in ocean world ice shells. Particularly, while salt-rich zones may present enticing targets to look for simple organics, larger and complex species with hydrophobic aromatic rings may be occluded elsewhere in the ice, potentially requiring a more dedicated sampling/detection strategy.
DOI: 10.48577/jpl.luudzy
title: Direct Measurement of Plume Velocity to Characterize Point Source Emissions

description: An explosion of recent research uses remote imaging spectroscopy from aircraft and spacecraft to detect greenhouse gas point sources. These instruments first map the concentration field below the sensor, and then combine this information with the effective wind speed to estimate the source emission rate. The wind speed at the surface is the largest uncertainty in this process, since it is estimated from coarse-resolution meteorological databases and may not match the actual currents experienced by the gas plume. Here we measure plume velocity remotely using the same spectrometer that performs the detection. Our approach acquires multiple views of the same point source, with visual tracking of plume features to estimate its ground velocity. This resolves the representational mismatch between database records and effective wind speeds. It provides data with exact spatiotemporal coincidence to the plume being measured. The approach points to new instruments and operational methods to dramatically improve the precision of remote greenhouse gas measurements.
DOI: 10.17632/c27zx69shc
title: Aesthetic development in a written poem for enhancing articulation and etiquette., Volume-2

description: Poems are having much more hidden meanings. The hidden meanings that are attributed to the poem "THE SPY WHO LOVED ME" exposed below:
DOI: 10.48577/jpl.xibbfd
title: Synoptic Modulation of the West African Coastal Atmosphere and Mesoscale Convective Systems

description: This study uses high-resolution airborne data from the NASA Convective Process Experiments–Cabo Verde field campaign to examine the effects of synoptic conditions on mesoscale convective systems (MCSs) over the western coastal waters of West Africa. African easterly waves (AEWs) are the dominant source of synoptic variability over the region, but their influences on coastal areas remain unclear. This study compares airborne data from two days with contrasting synoptic conditions and MCS evolution over the coastal water. On one day, large MCSs with high rain rates persisted over the coastal water when the AEW trough was near the coastline. The flow modulation by the AEW strengthened the near-surface onshore flow and warmed and moistened boundary layer over the coastal water. These combined effects increased the equivalent potential temperature of inflow air into the coastal MCSs, likely supporting their development. On the other day, an AEW was absent or weak, and coastal MCSs remained small and short-lived without the effects of the AEW. The observed modulation of the coastal atmosphere and MCSs by AEWs during the field campaign is analogous to the historical relationship of AEW and coastal MCSs obtained by satellite and reanalysis data. Although not represented by the two field campaign cases, the historical analysis suggests the enhancement of coastal vertical wind shear by AEWs can also intensify coastal MCSs. These results highlight the importance of synoptic modulation in understanding the variability and mechanism of coastal MCSs, which differ from those over land or open ocean.
DOI: 10.17632/c27zx69shc.3
title: Aesthetic development in a written poem for enhancing articulation and etiquette., Volume-2

description: Poems are having much more hidden meanings. The hidden meanings that are attributed to the poem "THE SPY WHO LOVED ME" exposed below:
DOI: 10.48577/jpl.b0lkek
title: A Kalman Filter Approach for Estimating Daily Discharge Using Space-Based Discharge Estimates

description: The SWOT mission is the first satellite to conduct a global survey of the Earth’s surface waters, measuring water surface elevation, river width, and water surface slope for estimating discharge. As SWOT can only sample mid-latitude locations approximately twice per its 21-day cycle, obtaining discharge estimates with an ideal temporal and spatial resolution along the river network employing SWOT discharge products is not feasible. To overcome this limitation, we develop a linear dynamic system for daily discharge estimation over continuous reaches in a single-branch river network using SWOT observations. The linear dynamic system includes a process model based on a physically-based spatiotemporal discharge correlation model and observation equations utilizing SWOT products. We solve this dynamic system through a Kalman filter, which is simultaneously executed in the time and space domain to obtain daily discharge. Since SWOT discharge products are currently inaccessible, we use a perturbed version of synthetic SWOT datasets obtained by Monte Carlo simulation with biased measurements to test the feasibility of our approach. The validation of the estimated discharge against true discharge in the datasets over all test cases leads to a median correlation as high as 0.95, a median NSE for residuals as high as 0.82, and a median relative bias as high as 5.22%, respectively. Our method delivers promising results and the hope of obtaining daily discharge for continuous reaches in a river network once the required SWOT data is available.
DOI: 10.48577/jpl.oj8znv
title: Uncertainty analysis, anomaly screening and performance margin for spacecraft thermal design and testing

description: To ensure success after launch, the thermal behavior of spacecraft is simulated with large distributed-element models, and elaborate ground testing is conducted to emulate the space environment. The nodalized models can be cumbersome and unsuited to estimating statistical uncertainty, without which the engineer must depend on legacy design principles and their own experience to estimate performance risk, set pass/fail criteria, and assign margin. We model the end-to-end sequence of thermal testing, model correlation, and in-flight operation using a combination of lumped-element models, covariance analysis and Monte Carlo simulations. In addition to predicting the range of possible outcomes and key sensitivities, we also show the extent to which a set of thermal balance tests reduces the uncertainty, and how effective they are at screening out unexpected anomalies. The breadth, speed and straightforward implementation of the model is complementary to both the traditional nodalized models, and more recent developments in the field of Uncertainty Quantification. We apply the analysis to NASA’s Near-Earth Object Surveyor mission which has a test campaign comprising three thermal balance tests at different levels of integration, and predict that while testing will provide only a modest reduction in the uncertainty of flight performance, it should be effective for screening out anomalies, such as design errors and workmanship issues.
DOI: 10.48577/jpl.zmtmwl
title: F and F-aggregate color centers in 100 K and room temperature KCl grains irradiated with 10 keV electrons

description: We have conducted experiments on potassium chloride grains under temperature, pressure, and irradiation conditions comparable to planetary and astrophysical environments. These experiments are particularly relevant to the investigation of ocean worlds covered with ice shells that may contain ocean-derived salts, and which may be exposed to surface irradiation. Irradiation of sylvite (KCl) under cryogenic conditions yields trapped electrons in F and M center anion vacancies (553 nm and 819 nm respectively), whereas room temperature measurements after irradiation show additional color-center formation (R1 [675 nm], R2 [734 nm], and N [978 nm]). We attribute these additional features to the merging of F centers at higher temperatures, yielding colloids. Potassium chlorate (KClO$_3$) is identified as a possible radiolytic product resulting from modification of KCl with surficial adsorbed H$_2$O.
DOI: 10.17632/fx79vmhj4x
title: GOTHIC SONG LYRICS AND IT'S CULTURAL IMPACT

description: Gothic culture is a subculture characterized by:

Key Features
1. *Aesthetics*: Dark, mysterious, and often Victorian or medieval-inspired fashion, music, and art.
2. *Music*: Gothic rock, industrial, and darkwave music genres.
3. *Themes*: Death, love, loss, and existential crises are common themes.
4. *Community*: Goths often form close-knit communities, sharing interests and values.

Isolation
While some Goths might experience social isolation due to:

1. *Mainstream misunderstanding*: Gothic culture can be misunderstood or stigmatized by mainstream society.
2. *Niche interests*: Goths may find it challenging to connect with people outside their subculture.

However, many Goths find a sense of belonging and community within the Gothic subculture.

Connection to Others
Goths often connect with like-minded individuals through:

1. *Music festivals*: Events like Wave Gotik Treffen or Whitby Gothic Weekend.
2. *Online forums*: Social media groups, forums, and online communities.
3. *Local meetups*: Goth clubs, cafes, or meetups.

Gothic culture can provide a sense of belonging and identity for those who resonate with its themes and aesthetics.