cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25934/pr00011673
title: Risk Factors for the Initial Decline in Estimated Glomerular Filtration Rate (eGFR) Following Empagliflozin Therapy in Patients with Heart Failure reduced Ejection Fraction (HFrEF)

description: Heart failure is a long-term condition where the heart doesn’t pump blood as well as it should. It affects millions of people around the world and can lead to serious health problems, including damage to the kidneys. Heart failure can be measured by an Ejection fraction (EF), which shows how much blood the left ventricle (chamber responsible for pumping blood) pumps out with each contraction. EF is measured as a percentage. Heart failure with reduced ejection fraction (HFrEF) occurs when the heart muscle does not contract effectively and less oxygen-rich blood is pumped out to the body. A newer type of medication called sodium-glucose cotransporter 2 (SGLT2) inhibitors—such as empagliflozin—has been shown to help people with HFrEF live longer and stay healthier. 

Empagliflozin works by helping the kidneys get rid of extra salt and water through urine. This can lower blood pressure and reduce the strain on the heart, which improves how well the heart functions—especially in people with heart failure.

However, doctors have noticed that soon after starting this medication, some patients experience a small drop in kidney function. This drop, called the “initial dip”, usually happens in the first one to two weeks of treatment and is measured by a test called estimated Glomerular Filtration Rate (eGFR), which checks how well the kidneys are working by evaluating how well they are filtering waste in the body.

We recently found that this initial dip is more common in older adults and in people who also have high blood pressure or diabetes (a condition where blood sugar is high). There is growing evidence that this early drop might not be harmful—in fact, it might even be a sign that the medication is helping protect the kidneys over time. But our earlier study was small, with only 123 patients, so more research is needed to understand if this dip is helpful or harmful in the long run.

In this project, we will study a much larger group of people who have HFrEF and are being treated with empagliflozin. We will look at two main things: first, which patients are most likely to experience the initial dip, and second, whether this dip has any lasting effect on their kidney health after six and twelve months. To do this, we will compare groups of patients—those who had an initial dip and those who didn’t—and use statistical tools to find patterns and predictors. These tools will help us understand which factors are linked to the dip and whether the dip is connected to better or worse kidney outcomes.

This research is important because it could help doctors know what to expect when starting patients on this medication. It may also help decide whether an early drop in kidney function is something to worry about or something that could actually mean the treatment is working. By learning more about this, we hope to improve care and protect kidney health in people living with chronic heart failure.
DOI: 10.15468/dl.xv9yvt
title: Occurrence Download

description: A dataset containing 59219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 14.085278",
 "DecimalLatitude is less than or equal to 19.085278",
 "DecimalLongitude is greater than or equal to 120.0",
 "DecimalLongitude is less than or equal to 125.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 59219 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038551-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/1g8ao8
title: PAN-00162058 - rectangular/trapezium shaped single looped buckle

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00162058&lt;/p&gt;
description: Modified: 2025-10-21T14:43:33+02:00
DOI: 10.15468/dl.xgp9w2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melomys bannisteri",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038587-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17859549
title: The Golden Ratio Lives in Your Quantum Computer: A 46-Microsecond Anomaly in IBM Quantum Hardware

description: We found phi^8 hiding in quantum decoherence. We do not know why.
After analyzing 580+ IBM Quantum jobs (515,000+ shots), we discovered Bell state fidelity oscillates with a period of exactly 46 microseconds = phi^8 (golden ratio to the 8th power).
The Numbers That Got Our Attention

Oscillation period: 46 us = phi^8 (2.1% error)
Maximum fidelity: 0.9787 = 1 - phi^-8 (0.0% error)
Effect size (Cohen d): 1.65 = phi (2.0% error)
Bayes Factor: 28.1 = phi^7 (3.2% error)
Four independent measurements encode the golden ratio. Zero free parameters.
Key Stats

p-value: 1.28 x 10^-14
Cohen d: 1.65 (very large effect)
Fidelity ratio (aligned/anti): 1.77x
51x enhancement at Phi-threshold
0/189 violations of F_max bound
The Challenge
We are NOT claiming new physics. We are saying: This is weird. Help us figure it out.
First independent replication gets co-authorship.
Package Contents

Complete 580-job dataset
Statistical validation code
Replication guide
Twitter thread template
Tau-sweep experiment code
description: CHALLENGE: If you have IBM Quantum access, try to replicate this. First independent replication gets co-authorship on the paper.
DOI: 10.15468/dl.47jtqs
title: Occurrence Download

description: A dataset containing 223151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ploceus cucullatus"
 ]
}

 The dataset includes 223151 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038546-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne7eaw
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroides albiceps",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 220 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17859385
title: Molecular networks of wine-related compounds annotated with WineDB.

description: Molecular networks of wine-related compounds were constructed using MetGem. Mass spectrometry data were acquired in both negative and positive ionisation modes on two mass analyzers: a Q-Orbitrap and a Q-TOF. Compounds annotation relied on the recently released WineDB and on the additional reference databases accessible through the GNPS platform.
DOI: 10.5281/zenodo.17859384
title: Molecular networks of wine-related compounds annotated with WineDB.

description: Molecular networks of wine-related compounds were constructed using MetGem. Mass spectrometry data were acquired in both negative and positive ionisation modes on two mass analyzers: a Q-Orbitrap and a Q-TOF. Compounds annotation relied on the recently released WineDB and on the additional reference databases accessible through the GNPS platform.
DOI: 10.7910/dvn/dd8ulv
title: Replication Package for "The Cost of Regulatory Compliance in the United States"

description: Code and pseudo data for "The Cost of Regulatory Compliance in the United States". Forthcoming in The Review of Financial Studies.
DOI: 10.17026/ar/9dgfr8
title: PAN-00163206 - double looped buckle with short narrowed integral bar

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00163206&lt;/p&gt;
description: Modified: 2025-10-28T10:05:31+01:00
DOI: 10.15468/dl.n4zbbj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melomys caurinus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038589-251120083545085/datasets/export for details.
DOI: 10.7910/dvn/gyuxzs
title: Emerging Technology Adoption Index

description: The Emerging Tech Adoption Index (ETAI) dataset provides a structured, comparative view of emerging-technology adoption across countries, regions, and industry sectors. Each record represents a country–sector–technology observation and reports (1) a composite Emerging Tech Adoption Index score (0–100) and (2) five underlying pillar scores—Readiness, Investment, Infrastructure, Regulatory Support, and Workforce Capability—also on a 0–100 scale. Records additionally include a categorical maturity stage (Nascent, Emerging, Scaling, Mature) and a qualitative near-term Growth Outlook (Low/Medium/High).

Coverage spans 6 global regions (Africa, Asia-Pacific, Europe, Latin America, Middle East, North America), 10 sectors (Defense, Education, Energy, Finance, Government, Healthcare, Manufacturing, Retail, Telecom, Transportation), and 10 technology domains (AI, 5G, IoT, Edge Computing, Blockchain, Quantum Computing, AR/VR, Biotech, EVs, Green Hydrogen). The dataset is intended for cross-sectional benchmarking, trend monitoring, and policy/market analysis of technology diffusion and ecosystem readiness.
description: This dataset contains 5,000 observations. Each observation has a unique ID and is defined by four categorical dimensions—region, country, sector, and technology domain—so users can slice and aggregate results across geography, industry, and technology. For each country–sector–technology record, the file reports a Maturity Level (Nascent, Emerging, Scaling, or Mature) and a Growth Outlook (Low, Medium, or High). It also includes five normalised pillar scores on a 0–100 scale: Readiness Score (ecosystem and organisational preparedness), Investment Score (capital intensity supporting deployment), Infrastructure Score (availability and quality of enabling infrastructure), Regulatory Support Score (policy and regulatory environment), and Workforce Capability Score (talent depth and skill readiness). These five pillars are combined into a composite Emerging Tech Adoption Index score, also on a 0–100 scale, which summarises overall adoption strength. A “Last Updated” field provides the record-level update date, and “Source” attributes the data to HHeuristics Research & Consulting.

Methodologically, the Emerging Tech Adoption Index is a multi-pillar benchmarking framework. Pillar scores are standardised to ensure comparability across regions and sectors, then combined into a composite index using a consistent weighting scheme applied to all observations. Maturity Level and Growth Outlook are assigned from the pillar profiles and observed momentum signals within each technology–sector–country context. The dataset is intended for comparative analytics, benchmarking dashboards, correlation and clustering studies, and mapping readiness or diffusion gaps across technologies and markets. Users may aggregate to country, regional, sectoral, or technology-level views using mean or median scores, or apply external weights (for example, population or market size) where analytically appropriate.
DOI: 10.15468/dl.57aafe
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-137.94458 2.02944,-53.05542 2.02944,-53.05542 35.97056,-137.94458 35.97056,-137.94458 2.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pleopeltis muenchii"
 ]
}

 The dataset includes 106 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038591-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkjr3e
title: Occurrence Download

description: A dataset containing 3854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ipomoea pes-caprae)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3854 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038592-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxmb3x
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroides dianthus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 372 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038593-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/uvhtlg
title: PAN-00175383 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175383&lt;/p&gt;
description: Modified: 2025-10-14T14:09:58+02:00
DOI: 10.15468/dl.dpbeak
title: Occurrence Download

description: A dataset containing 127401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ascidiacea"
 ]
}

 The dataset includes 127401 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038563-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/wz45h
title: Identifying Cognitive Patterns of Track and Field Experts in 100m and 200m Sprint in Talent Identification Using Q Methodology

description: This study aims to identify and prioritize the effective factors in talent identification for track and field, focusing specifically on 100m and 200m sprints. The research is conducted using the Q-methodology, analyzing the perspectives of expert coaches and elite athletes in this discipline.
DOI: 10.5281/zenodo.17859557
title: Human Values, Purpose & Meaning 2025 (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s Human–AI Experience 2025 data series.It examines how adults understand their personal values, sense of meaning, fulfilment, behavioural alignment, life direction, and emotional wellbeing, as well as how these internal experiences relate to digital environments and AI-mediated life.

The dataset includes:• validated 1–7 Likert-scale items• measures of meaning, fulfilment, direction, purpose, value alignment, and self-trust• behavioural indicators of top personal values and the life areas least aligned with those values• multi-select variables stored as canonical semicolon-delimited snake_case tokens• open-text reflections with minimal safe cleaning (trim and newline removal only)• demographic variables across six English-speaking countries• digital life exposure (daily hours online) and AI-tool usage frequency

Data were collected on 25 November 2025 via the Prolific platform from adults in the United Kingdom, United States, New Zealand, Ireland, Canada, and Australia. Participants provided informed consent for anonymised open publication.

All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming• validated numeric ranges• standardised multi-select formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all files

This dataset contributes to understanding how people construct personal meaning, identify core values, evaluate value–life alignment, and determine what matters most in life. It supports longitudinal tracking of meaning, fulfilment, direction, emotional wellbeing, and value-driven behaviour across the Human–AI Experience 2025 series.
DOI: 10.5281/zenodo.17705733
title: Human Values, Purpose & Meaning 2025 (Dataset, n = 507)

description: This dataset is part of the Human Clarity Institute’s Human–AI Experience 2025 data series.It examines how adults understand their personal values, sense of meaning, fulfilment, behavioural alignment, life direction, and emotional wellbeing, as well as how these internal experiences relate to digital environments and AI-mediated life.

The dataset includes:• validated 1–7 Likert-scale items• measures of meaning, fulfilment, direction, purpose, value alignment, and self-trust• behavioural indicators of top personal values and the life areas least aligned with those values• multi-select variables stored as canonical semicolon-delimited snake_case tokens• open-text reflections with minimal safe cleaning (trim and newline removal only)• demographic variables across six English-speaking countries• digital life exposure (daily hours online) and AI-tool usage frequency

Data were collected on 25 November 2025 via the Prolific platform from adults in the United Kingdom, United States, New Zealand, Ireland, Canada, and Australia. Participants provided informed consent for anonymised open publication.

All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming• validated numeric ranges• standardised multi-select formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all files

This dataset contributes to understanding how people construct personal meaning, identify core values, evaluate value–life alignment, and determine what matters most in life. It supports longitudinal tracking of meaning, fulfilment, direction, emotional wellbeing, and value-driven behaviour across the Human–AI Experience 2025 series.
DOI: 10.15468/dl.76pcmj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melomys fraterculus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038595-251120083545085/datasets/export for details.
DOI: 10.15468/dl.gaskq4
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Fusarium equiseti"
 ]
}

 The dataset includes 238 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038596-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fquz9
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroides dirampha",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 339 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038597-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7283/yge1-ef68
title: WISSARD-SALSA Whillans-Mercer GNSS Network
DOI: 10.17026/ar/tgsenm
title: PAN-00170320 - smooth ware jug type Hofh. 51

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00170320&lt;/p&gt;
description: Modified: 2025-11-02T15:04:24+01:00
DOI: 10.15468/dl.5uyw2w
title: Occurrence Download

description: A dataset containing 5228326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Baeolophus bicolor)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5228326 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038552-251120083545085/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/14064772
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.epweu7
title: Occurrence Download

description: A dataset containing 1080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroides elegans",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1080 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038600-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.faghq9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melomys fulgens",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038598-251120083545085/datasets/export for details.