cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr04374.v1
title: Current Population Survey, March/April 1984 Match Files: Alimony and Child Support
title: Version 1

description: The file comprises records for the six rotation groups
 common to the March and April 1984 Current Population Surveys. For
 females aged 18 years and over, data are provided on alimony and child
 support collected from the April supplement. These data highlight
 alimony and child support arrangements made at the time of separation
 or divorce, amount of payments actually received, and value and type
 of any property settlement. This file also provides the usual monthly
 labor force data plus data on work experience, income, and migration.
 Comprehensive information is given on the employment status,
 occupation, and industry of persons aged 14 years and over. Additional
 data for persons aged 15 years and older are available concerning
 weeks worked and hours per week worked, reason not working full time,
 total income and income components, and residence on March 1, 1983.
 Characteristics such as age, sex, race, household relationship, and
 Spanish origin are shown for each person in the household enumerated.
 The data on employment and income refer to the preceding year,
 although demographic data refer to the time of the survey. This file
 also contains data covering nine noncash income sources: food stamps,
 school lunch program, employer-provided group health insurance,
 employer-provided pension plan, personal health insurance, Medicaid,
Medicare, CHAMPUS or military health care, and energy assistance.
description: A probability sample is used in selecting housing units.
description: Datasets: 
DS1: Current Population Survey, March/April 1984 Match Files: Alimony and Child Support
description: The universe is the civilian noninstitutional population
 of the United States living in housing units and male members of the
 Armed Forces living in civilian housing units on a military base or
in a household not on a military base.
description: personal interviewIn this hierarchical dataset, there are three record
 types. The first is Household, with 59 variables, the Family record
type has 78 variables, and the Person record type has 246 variables.
DOI: 10.15468/dl.n2qc6f
title: Occurrence Download

description: A dataset containing 783 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adelothecium bogotense (Hampe) Mitt."
 ]
}

 The dataset includes 783 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070299-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12295602
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.3886/icpsr04656.v1
title: ABC News/Washington Post Pre-State of the Union Address Poll, January 2006
title: Version 1

description: This pre-State of the Union speech poll, conducted January
 23-26, 2006, is a special topic poll that solicited respondents'
 opinions regarding various issues relating to the presidency and
 politics. Respondents were asked their opinions regarding President
 Bush's handling of the United States campaign against terrorism, the
 federal deficit, ethics in government, prescription drugs, the economy,
 and immigration. Respondents were also asked their opinions of Bush as
 a leader and whether he could relate to them. Respondents were further
 asked their opinions on what priorities the President and United
 States Congress should give to particular issues such as the economy,
 global warming, health care, prescription drugs, education, lobbying
 reform, and federal disaster preparedness among others. Demographic
 variables include race, gender, age, level of education, employment
 status, income, political party affiliation, political philosophy, and
religious affiliation.
description: The data contain a weight variable (WEIGHT) that should be
 used in analyzing the data. The data were weighted using demographic
 information from the Census to adjust for sampling and nonsampling
 deviations from population values. Respondents customarily were
 classified into 1 of 48 cells based on age, race, sex and education.
 Weights were assigned so the proportion in each of these 48 cells
 matched the actual population proportion according to the Census
Bureau's most recent Current Population Survey.
description: Households were selected by random-digit dialing. Within
 households, the respondent selected was the adult living in the
 household who last had a birthday and who was home at the time of the
interview.
description: Datasets: 
DS1: ABC News/Washington Post Pre-State of the Union Address Poll, January 2006
description: Persons aged 18 and over living in households with
telephones in the contiguous 48 United States.
description: telephone interview(1) The data available for download are not weighted
 and users will need to weight the data prior to analysis. The data
 available via online data analysis have been weighted. (2) Additional
 information about sampling, interviewing, and sampling error may be
 found in the codebook. (3) Original reports using these data may be
 found via the ABC News
 Polling Unit Web site and via the
 
Washington Post Opinion Surveys and Polls Web site.
DOI: 10.3886/icpsr04656
title: ABC News/Washington Post Pre-State of the Union Address Poll, January 2006
title: Archival Version

description: This pre-State of the Union speech poll, conducted January
 23-26, 2006, is a special topic poll that solicited respondents'
 opinions regarding various issues relating to the presidency and
 politics. Respondents were asked their opinions regarding President
 Bush's handling of the United States campaign against terrorism, the
 federal deficit, ethics in government, prescription drugs, the economy,
 and immigration. Respondents were also asked their opinions of Bush as
 a leader and whether he could relate to them. Respondents were further
 asked their opinions on what priorities the President and United
 States Congress should give to particular issues such as the economy,
 global warming, health care, prescription drugs, education, lobbying
 reform, and federal disaster preparedness among others. Demographic
 variables include race, gender, age, level of education, employment
 status, income, political party affiliation, political philosophy, and
religious affiliation.
description: The data contain a weight variable (WEIGHT) that should be
 used in analyzing the data. The data were weighted using demographic
 information from the Census to adjust for sampling and nonsampling
 deviations from population values. Respondents customarily were
 classified into 1 of 48 cells based on age, race, sex and education.
 Weights were assigned so the proportion in each of these 48 cells
 matched the actual population proportion according to the Census
Bureau's most recent Current Population Survey.
description: Households were selected by random-digit dialing. Within
 households, the respondent selected was the adult living in the
 household who last had a birthday and who was home at the time of the
interview.
description: Datasets: 
DS1: ABC News/Washington Post Pre-State of the Union Address Poll, January 2006
description: Persons aged 18 and over living in households with
telephones in the contiguous 48 United States.
description: telephone interview(1) The data available for download are not weighted
 and users will need to weight the data prior to analysis. The data
 available via online data analysis have been weighted. (2) Additional
 information about sampling, interviewing, and sampling error may be
 found in the codebook. (3) Original reports using these data may be
 found via the ABC News
 Polling Unit Web site and via the
 
Washington Post Opinion Surveys and Polls Web site.
DOI: 10.3886/icpsr04319.v1
title: ABC News/Washington Post Poll, March 2005
title: Version 1

description: This poll, conducted March 10-13, 2005, is part of a
continuing series of monthly surveys that solicit public opinion on
the current presidency and on a range of other political and social
issues. Views were sought on identity theft, personal privacy
protection, the United States' campaign against terrorism, the war
with Iraq, the economy, Social Security, increasing the Social
Security tax rate, and health care. Moreover, respondents were
queried on whether they felt that the Bush administration misled the
American public when making a case for waging war in Iraq, whether the
war in Iraq was a mistake, whether the presence of United States
military forces in Iraq should be withdrawn, increased, or decreased,
whether the Iraqi people supported or opposed the goals set forth by the
United States in their country, and whether the recent Iraqi election
could produce a stable government. Respondents were also asked about
weapons of mass destruction as they related to Iran, North Korea, and
Syria. Demographic variables include race, gender, age, level of
education, employment status, income, political party affiliation,
political philosophy, and religious affiliation.
description: The data contain a weight variable that should be used for 
 analysis. The data were weighted using demographic information from 
 the Census to adjust for sampling and nonsampling deviations from 
 population values. Respondents customarily were classified into one 
 of 48 cells based on age, race, sex, and education. Weights were 
 assigned so the proportion in each of these 48 cells matched the 
 actual population proportion according to the Census Bureau's most 
recent Current Population Survey.
description: Households were selected by random-digit dialing. Within
 households, the respondent selected was the adult living in the
 household who last had a birthday and who was home at the time of the
interview.
description: Datasets: 
DS1: ABC News/Washington Post Poll, March 2005
description: Persons aged 18 and over living in households with
telephones in the contiguous 48 United States.
description: telephone interviewThe data available for download are not weighted
and users will need to weight the data prior to analysis. The data
available via online data analysis have been weighted.Additional
information about sampling, interviewing, and sampling error may be
found in the codebook.
DOI: 10.15468/dl.63ggs4
title: Occurrence Download

description: A dataset containing 1741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Cocos nucifera L."
 ]
}

 The dataset includes 1741 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070301-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25416760.v2
title: Supplementary data to the paper: The power and limits of predicting inter-protein exon-exon interactions using protein 3D structures

description: Alternative splicing (AS) effects on cellular functions can be captured by studying changes in the underlying protein-protein interactions (PPIs). Because AS results in the gain or loss of exons, existing methods for predicting AS-related PPI changes utilize known inter-protein exon-exon interactions (EEIs), which cover less than 0.5% of known human PPIs. Hence, there is a need to extend the existing limited EEI knowledge to advance the functional understanding of AS. Here, we explore whether existing 3-dimensional (3D) protein structure-based computational PPI interface prediction (PPIIP) methods, originally designed to predict inter-protein residue-residue interactions (RRIs), can be utilized to predict EEIs. We evaluate the PPIIP methods for the RRI- as well as EEI-prediction tasks using all known experimentally determined 3D structures of human protein heterodimers from the Protein Data Bank. From these heterodimers we determined ~230,000 RRIs and ~27,000 EEIs as ground truth. We provide the first evidence of the adaptability of existing PPIIP methods to predict EEIs, with a performance score of up to ~72% based on area under the receiver operating characteristic curve. Insights, data, and computational pipelines from our study have the potential to guide future developments of computational methods for solving the task of predicting EEIs.
DOI: 10.15468/dl.9df84n
title: Occurrence Download

description: A dataset containing 808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urophycis brasiliensis (Kaup, 1858)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "DecimalLatitude is greater than or equal to -90.0",
 "DecimalLatitude is less than or equal to 90.0",
 "DecimalLongitude is greater than or equal to -180.0",
 "DecimalLongitude is less than or equal to 180.0",
 "HasCoordinate is true"
 ]
}

 The dataset includes 808 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070304-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgyhvr
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Long-term Ecological Monitoring Research Brazilian Oceanic Islands (reef fish), PELD - ILOC | Long-term Ecological Monitoring Research Brazilian Oceanic Islands (reef fish), ReefSYN | Standardized datasets of Brazilian reef diversity in space and time - Dataset I: Fish communities from the Brazilian province, speciesLink: CIUFES - Ichthyological Collection of the Federal University of Espírito Santo, NMNH Extant Specimen Records (USNM, US), UF FLMNH Ichthyology)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Halichoeres rubrovirens Rocha, Pinheiro & Gasparini, 2010"
 ]
}

 The dataset includes 523 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070306-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15750029
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Clare Maffei, https://orcid.org/0009-0008-1621-0498. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.6084/m9.figshare.29420771
title: Inderscience Air Quality Hyderabad Supplementary Material

description: Inderscience Air Quality Hyderabad Supplementary Material
DOI: 10.6084/m9.figshare.29420771.v1
title: Inderscience Air Quality Hyderabad Supplementary Material

description: Inderscience Air Quality Hyderabad Supplementary Material
DOI: 10.48472/aleia/f0lfy7
title: Levantamento de Repositórios e Bibliotecas Digitais no Brasil

description: Conjunto de dados referente ao levantamento realizado no Portal Oasisbr em busca de mapear e analisar os repositórios e as bibliotecas digitais brasileiras participantes e presentes na BDTD(Ibict) e no Portal Oasisbr. Trata-se de um levantamento de abordagem descritiva para examinar os dados de fontes disponibilizadas nos portais, categorizadas por tipo de instituição e região geográfica. Com o objetivo de verificar papel colaborativo na disseminação da produção científica por meio de bibliotecas e repositórios digitais.
DOI: 10.6084/m9.figshare.29414567
title: LDCT

description: LDCT dataset and patches
DOI: 10.6084/m9.figshare.29414567.v1
title: LDCT

description: LDCT dataset and patches
DOI: 10.25934/pr00008558
title: Investigating the impact of antibodies against SARS-CoV-2 on the effectiveness of interleukin-6 inhibitors in Covid-19 patients

description:  Numerous clinical trials have been carried out to find therapies against COVID-19. A great proportion of them has focused on patients admitted to hospital wards, or intensive care units. 
Many drugs were tested in randomized clinical trials by different platforms and research groups. Some of the drugs belong to the therapeutic group of immunosuppressive agents. These molecules inhibit the immune system at different levels, or a precise point, modulating the dysregulated response of the immune system in COVID-19. So, these molecules bind to a protein and block its activity. 
After numerous trials, a few molecules showed to improve the 28-days mortality. Among them, we pointed out the interleukin-6 (IL-6) inhibitors, mainly tocilizumab. Interleukin 6 is a cytokine (protein in the immune system) whose release may cause inflammation in excess. 
The differences in mortality between the active therapy cohort comparing with the usual standard of care happened between the 2nd and 3rd week of diseases (around 16-18 days of symptoms onset). Considering previously published manuscripts, a novel, or not usually measured variable, could explain all these findings. 
We propose the use of the individual's state of either having or not detectable antibodies against a specific protein of SARS-CoV-2, as measured by a blood test. 
These individuals with a negative antibodies serum reaction against SARS-CoV-2 infection seems to be at a higher risk to a dysfunctional immune system response, and hence, to develop a pronunced inflammation and severe outcome in COVID-19. To check this hypothesis, we proposed to launch a posthoc analysis according to patient's blood serology (positive or negative) against SARS-CoV-2 infection. Our aim is to assess the differences between both cohorts of individuals in 28 days mortality and categorized them according to previously randomized cohorts in any clinical trial using IL-6 inhibitors.
DOI: 10.25934/00005929
title: A Randomized, Double-Blind, Placebo-Controlled, Multicenter Study to Evaluate the Safety and Efficacy of Tocilizumab in Patients With Severe COVID-19 Pneumonia

description: This study will evaluate the efficacy, safety, pharmacodynamics, and pharmacokinetics of tocilizumab (TCZ) compared with a matching placebo in combination with standard of care (SOC) in hospitalized patients with severe COVID-19 pneumonia.
DOI: 10.34740/kaggle/dsv/12295648
title: Antutu Benchmark
DOI: 10.15468/dl.j945re
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "TaxonKey is Galictis cuja (Molina, 1782)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070308-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15746210
title: Pedestrian zebra crossings in the Czech Republic (2023-2024), ML detections

description: Pedestrian zebra crossings in the Czech Republic (bounding boxes)

Dataset derived from ČÚZK Orthoimagery of the Czech Republic (2023 and 2024 versions), using a custom-trained YOLOv5lu model based on our own annotated training dataset. Each bounding box detection contains a prediction accuracy attribute, and the dataset includes every detection with an accuracy greater than 50%. Detections were also post-processed, where pedestrian zebra crossings far away from roads (FP detections) were removed.

 

Dataset info:



epsg: 5514

extent: Czech Republic

date of acquisitions of orthoimagery: 2023 (west part of the country) and 2024 (east part of the country)

number of features: 67.255

geometry: polygons (bounding boxes)

format: geopackage


 

Known limitations:



Some bounding boxes are smaller than the actual pedestrian crossing bounding boxes

Duplicate detections may occur at the edge of orthoimagery map sheets

Some crossings may not be detected, especially if they are obscured by cars or vegetation


 

Accuracy

Accuracy was evaluated by pairing with the open dataset of pedestrian crossings in the city of Brno. It is important to mention that this public dataset contains only crossings on public roads, while our dataset, derived from orthoimagery, contains all visible crossings. Part of the omission is also due to street reconstruction, where the finished streets are not present in the orthoimagery, but the crosswalks are recorded in the Brno city database. Thus, the accuracy of the detections is higher than the given numbers.



Number of crossings in the city of Brno (reference dataset): 2.583

Number of detections in the city of Brno: 2.636

Omission: 265

Commission: 349 (most of the detections are correct, see above)


 

 

For more information, please get in touch with the author of the ML model and the creator of this dataset: kasik@sci.muni.cz
DOI: 10.5281/zenodo.15746209
title: Pedestrian zebra crossings in the Czech Republic (2023-2024), ML detections

description: Pedestrian zebra crossings in the Czech Republic (bounding boxes)

Dataset derived from ČÚZK Orthoimagery of the Czech Republic (2023 and 2024 versions), using a custom-trained YOLOv5lu model based on our own annotated training dataset. Each bounding box detection contains a prediction accuracy attribute, and the dataset includes every detection with an accuracy greater than 50%. Detections were also post-processed, where pedestrian zebra crossings far away from roads (FP detections) were removed.

 

Dataset info:



epsg: 5514

extent: Czech Republic

date of acquisitions of orthoimagery: 2023 (west part of the country) and 2024 (east part of the country)

number of features: 67.255

geometry: polygons (bounding boxes)

format: geopackage


 

Known limitations:



Some bounding boxes are smaller than the actual pedestrian crossing bounding boxes

Duplicate detections may occur at the edge of orthoimagery map sheets

Some crossings may not be detected, especially if they are obscured by cars or vegetation


 

Accuracy

Accuracy was evaluated by pairing with the open dataset of pedestrian crossings in the city of Brno. It is important to mention that this public dataset contains only crossings on public roads, while our dataset, derived from orthoimagery, contains all visible crossings. Part of the omission is also due to street reconstruction, where the finished streets are not present in the orthoimagery, but the crosswalks are recorded in the Brno city database. Thus, the accuracy of the detections is higher than the given numbers.



Number of crossings in the city of Brno (reference dataset): 2.583

Number of detections in the city of Brno: 2.636

Omission: 265

Commission: 349 (most of the detections are correct, see above)


 

 

For more information, please get in touch with the author of the ML model and the creator of this dataset: kasik@sci.muni.cz
DOI: 10.5281/zenodo.15750020
title: Phase Distortion and the Hidden Mechanics of Field Interaction: A Unified Framework for Coherence in Physical Systems

description: This paper introduces a novel theoretical framework positioning Phase Distortion Fields (PDFs) as the universal mechanism behind coherence in physical systems. By integrating concepts from quantum field theory, nonlinear dynamics, and information theory, it proposes that coherence emerges through phase deviations during field interactions—synchronizing energy and information across quantum and macroscopic scales.

The work presents a mathematically rigorous model supported by testable experimental designs in quantum optics, electromagnetic cavities, and gravitational wave detection (LIGO). The implications extend to quantum computing, neurological synchronization, gravitational coherence, and even the early structure of the cosmos. If verified, this theory could redefine our understanding of coherence and catalyze technological breakthroughs in physics, biology, and communication.

**Keywords:**Phase Distortion • Coherence • Field Interaction • Quantum Field Theory • Nonlinear Dynamics • Gravitational Waves • Quantum Entanglement