cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e155161v93
title: Advance Layoff Notice Data from the WARN Act

description: We collect novel and timely data from advance layoff notices filed under the Worker Adjustment and Retraining Notification (WARN) Act. The act requires larger employers to notify affected workers at least 60 days before a potential mass layoff. We assemble WARN data from across the United States, and for many large states our data begin in the 1990s. We aggregate these data into an unbalanced, monthly panel of the state-level number of workers affected by WARN notices, and we update this panel twice a month. We also aggregate this panel to a national-level indicator of job loss (the "WARN factor") using a dynamic factor model.<br>

<b><br>Data Collection</b><br>We update the data twice a month by collecting WARN
notices from state websites. For many states, we have extended our historical
data by using digital archives of the internet and contacting state
officials.<br> <br><b>Citation</b><br>To learn more about
the data and the dynamic factor model, see:<br>Krolikowski, Pawel M. and Kurt G. Lunsford. 2022. “Advance Layoff Notices and Aggregate Job Loss.” Federal Reserve Bank of Cleveland, Working Paper no. 20-03R. https://doi.org/10.26509/frbc-wp-202003R.<br>Krolikowski, Pawel M., and Kurt G. Lunsford. 2024 “Advance Layoff Notices and Aggregate Job Loss.” Journal of Applied Econometrics. https://doi.org/10.1002/jae.3032.<b><br><br></b><b>File Description</b><br>The file labelled WARNFiles_YYYYMMDD.zip in the
main directory contains our most recent data. All data included in this zip
file were collected as of the date listed in the file name. Previous
vintages of our data appear in the `Archived_Vintages’ folder, with the same
naming convention.<br>
<br>The zip files contain three files:<br>
<br>


1. 
README.txt

<br>2. 
WARNData_NSA_YYYYMMDD.csv


 
 This .csv contains the number of workers affected by
 WARN notices by state and month. These data are not seasonally adjusted.
 These data are the input into the dynamic factor model.
 


3. 
WARNFactors_YYYYMMDD.csv


 
 This .csv contains the output of the dynamic factor
 model. The output is labeled as follows:
 
 WARN Factor: the estimates of the factor from the
 dynamic factor model.
 MSE: the estimated mean squared errors
 of the WARN factor.
 WARN_hat: the number of workers affected by
 WARN notices as implied by the WARN factor.
 WARN_sum: the sum of the number of
 workers affected by WARN notices from several states that form a
 balanced panel beginning in January 2006. These states can change every
 update.<b>Disclaimer</b><br>These data are
updated by the authors and are not an official product of the Federal Reserve Bank of Cleveland.<br>
description: Smallest Geographic Unit: State
DOI: 10.15468/dl.h39ubh
title: Occurrence Download

description: A dataset containing 29374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orcinus orca"
 ]
}

 The dataset includes 29374 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053906-251120083545085/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.30885791
title: Complete chromosome sequence of Actinomyces oris A82 strain

description: Complete chromosome sequence of Actinomyces oris A82 strain reconstructed using Autocycler and reported in the following paper:Genome sequencing of Actinomyces from medication-related osteonecrosis of the jaw identifies a lineage carrying a distinct evolvability protein Mfdauthored by Hiroko Yahara, Miho Takahashi, Sachiko Yamasaki, Souichi Yanamoto, Takuya Asaka, Yoshimasa Kitagawa, Kazuma Noguchi, Akimitsu Hiraki, Sadao Aoki, Maki Okuda, Satoyo Wakai, Le Nhat Minh, Norikazu Kitamura, Yo Sugawara, Aki Hirabayashi, Masato Suzuki, Hirokazu Yano, Ryoma Nakao and Koji Yahara<br><br><br><br>
DOI: 10.6084/m9.figshare.30885791.v1
title: Complete chromosome sequence of Actinomyces oris A82 strain

description: Complete chromosome sequence of Actinomyces oris A82 strain reconstructed using Autocycler and reported in the following paper:Genome sequencing of Actinomyces from medication-related osteonecrosis of the jaw identifies a lineage carrying a distinct evolvability protein Mfdauthored by Hiroko Yahara, Miho Takahashi, Sachiko Yamasaki, Souichi Yanamoto, Takuya Asaka, Yoshimasa Kitagawa, Kazuma Noguchi, Akimitsu Hiraki, Sadao Aoki, Maki Okuda, Satoyo Wakai, Le Nhat Minh, Norikazu Kitamura, Yo Sugawara, Aki Hirabayashi, Masato Suzuki, Hirokazu Yano, Ryoma Nakao and Koji Yahara<br><br><br><br>
DOI: 10.5281/zenodo.17178472
title: Wheat Heat×Drought (H×D) Dataset — Weather, Gas Exchange and Evapotranspiration

description: This dataset accompanies the manuscript entitled "Improving predictions of stomatal conductance and evapotranspiration under combined heat and drought for wheat".It provides the data underpinning analyses of meteorological drivers, organ-scale gas exchange, and wheat evapotranspiration under combined heat and drought (H×D) treatments.Content overview:  • Weather (hourly & daily) for Exp. 1 and Exp. 6.  • Gas exchange (leaf and spike, day/night) for Exp. 1 and Exps. 2–3.  • Evapotranspiration (ET) (hourly & daily) for Exp. 1 and Exp. 6.

Detailed variable descriptions and code lists (e.g., Treatment levels) are provided in each folder’s Parameter Definitions file.

The experiments are described in detail in the manuscript.
DOI: 10.5281/zenodo.17178473
title: Wheat Heat×Drought (H×D) Dataset — Weather, Gas Exchange and Evapotranspiration

description: This dataset accompanies the manuscript entitled "Improving predictions of stomatal conductance and evapotranspiration under combined heat and drought for wheat".It provides the data underpinning analyses of meteorological drivers, organ-scale gas exchange, and wheat evapotranspiration under combined heat and drought (H×D) treatments.Content overview:  • Weather (hourly & daily) for Exp. 1 and Exp. 6.  • Gas exchange (leaf and spike, day/night) for Exp. 1 and Exps. 2–3.  • Evapotranspiration (ET) (hourly & daily) for Exp. 1 and Exp. 6.

Detailed variable descriptions and code lists (e.g., Treatment levels) are provided in each folder’s Parameter Definitions file.

The experiments are described in detail in the manuscript.
DOI: 10.5281/zenodo.17942831
title: Syntheverse: Hydrogen-Holographic Fractal AI Crypto Frontier Game and Ecosystem (Prerelease Testing & Tuning)

description: The Syntheverse is a Hydrogen-Holographic Fractal AI Crypto Frontier Game and Living Ecosystem, currently in prerelease testing and tuning. It provides a structured environment where validated scientific, technological, and alignment-based contributions become permanent, on-chain units of knowledge.

The system combines hydrogen-holographic fractal whole-brain AI with layered blockchain validation to transform discovery into immutable, measurable infrastructure. Contributions are evaluated on Layer-2 through Proof-of-Discovery (PoD), Proof-of-Technology (PoT), and Proof-of-Alignment (PoA), then permanently anchored on the Synthechain Layer-1.

The Syntheverse recognizes three contribution types:



PoD (Gold): Scientific research and theoretical advances

PoT (Silver): Functional technologies, tools, and applied systems

PoA (Copper): Alignment, symbolic, mythic, and AI-coherent narratives


The ecosystem uses SYNTH, an ERC-20–compatible internal utility token designed solely for participation, recognition, and governance within the Syntheverse. SYNTH has no external monetary value and is not intended for use outside the ecosystem.

This repository contains prerelease materials including whitepapers, protocol specifications, contribution guidelines, tokenomics documentation, and early infrastructure for a living, fractal knowledge economy. Early collaborators help shape validation rules, epochs, governance, and the future of hydrogen-holographic fractal AI.

Interested in early contribution, collaboration, or sandbox access?

Contact: info@fractiai.com

Follow development: https://github.com/FractiAI/Syntheverse
DOI: 10.34847/nkl.de5239wt
title: Interview with David Card, conducted by Jérôme Gautié and Dorian Jullien on June 25th 2025. Oral Histories of Economics

description: Interview with David Card, conducted by Jérôme Gautié and Dorian Jullien on June 25th 2025, for a research project on the history of "new minimum wage research". This interview is part of the collection "The Minimum Wage Debates in the 1990s U.S. and U.K." of the Oral Histories of Economics project (https://www.oralhistoriesofeconomics.org/). The set of data contains:
- the audio recording of the interview;
- the transcription of the interview (reviewed and edited by the interviewers and the interviewee)
DOI: 10.7910/dvn/8h1n0n
title: How Mesopotamian Sheep Entrails, Stars forming in the Milky Way, and Climate Change are Related

description: &lt;b&gt;How Mesopotamian Sheep Entrails, Stars forming in the Milky Way, and Climate Change are Related&lt;/B&gt;&lt;P&gt;&lt;p&gt;&lt;b&gt;Presentation Date&lt;/b&gt;: Friday, December 12, 2025&lt;/p&gt;&lt;p&gt;&lt;b&gt;Location&lt;/b&gt;: Presented virtually for NVIDIA Research Radar Talks.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Abstract&lt;/b&gt;: This talk will offer a quick overview of how my combined interests in art, physics, and history have led to a research agenda that spans astrophysics, exploratory data analysis, the history of prediction, climate change, science education, and AI. Astrophysics—and my own work on the nature of star-forming regions in galaxies—relies heavily on large datasets and detailed computer simulations. I now lead MilkyWay3D.org, which seeks to gather and analyze all that astronomers know about the 3D structure of our Galaxy. Humans are still (much) better than AI at exploring data visually, so I co-lead the Linkable Interactive Visualization and Exploration (LIVE, LIVE-env.org) Environments effort to combine the world’s best data-visualization tools with popular online frameworks and AI. MilkyWay3D serves as a demonstration project for the astronomically-relevant tools within LIVE, alongside parallel efforts in Biology/Genomics and GIS/Climate Science—the other two domains where LIVE is being built out.&lt;/p&gt;&lt;p&gt;Thanks to an early, accidental immersion in global-warming research as a college intern, plus my appreciation for the importance of computer simulation, plus my longstanding goal of improving public understanding of science, and the founding of edX, I was able to create what is now The Prediction Project (PredictionX.org) at Harvard. In short, the project provides online resources across many platforms that trace the history of how humans have predicted their futures—from Ancient Mesopotamian divination using sheep entrails to modern weather and climate forecasting, including NVIDIA’s Earth-2 initiative. PredictionX resources now feature the work of about 50 experts worldwide, including faculty from Harvard, Oxford, and Cambridge, and I teach a Harvard course based on them called “Prediction: The Past and Present of the Future.”&lt;/p&gt;&lt;p&gt;Finally, I’ll describe how these interests connect to the NASA-supported CosmicDS project, which uses astronomy and Earth science examples to teach data science—and AI—to high school and college learners.&lt;/p&lt;p&gt;Files included are Keynote slides (in .key and .pdf formats) and Apple Movie (.m4v)&lt;/P&gt;
DOI: 10.5066/p1kph8te
title: Geologic map database of the Bison Range and vicinity, northwestern Montana

description: This data release provides Geologic Map Schema (GeMS)-compliant GIS data for new geologic mapping of the Bison Range and surrounding area on the Flathead Reservation, northwestern Montana. The database represents the geology for the 150 square kilometer, geologically complex map area, at a publication scale of 1:24,000. The map covers parts of Sanders and Lake Counties, Montana. All bedrock units exposed in the map area are metasedimentary rocks of the Mesoproterozoic Belt Supergroup that we mapped using a combination of field work and structural contouring. Surficial map units include Holocene alluvial and colluvial deposits, and Pleistocene glacial deposits. Previous mapping of surficial deposits (Ostenaa, 1990) was refined using high-resolution lidar from the U.S. Geological Survey 3D Elevation Program. The digital data present the attribute tables and geospatial features (points, lines, and polygons) in the format that meets GeMS requirements.

Ostenaa, D.A., 1990, Flathead Reservation regional seismotectonic study: an evaluation for dam safety: U.S. Bureau of Reclamation Seismotectonic Report 1990-8.
DOI: 10.15468/dl.qju2kp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriospermum ramosum P.L.Perry"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202039-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ng6yho
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "DatasetKey is Cowan Tetrapod Collection - Birds"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095748-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j77etw
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mansoa difficilis (Cham.) Bureau & K.Schum."
 ]
}

 The dataset includes 597 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059921-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t7sx4
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriospermum abyssinicum Baker"
 ]
}

 The dataset includes 502 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202048-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcwkvk
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mansoa paganuccii M.M.Silva"
 ]
}

 The dataset includes 117 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059924-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fgk3a
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriospermum viscosum Marloth ex P.L.Perry"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202066-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vn6d7
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paepalanthus subfalcatus Ruhland"
 ]
}

 The dataset includes 45 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177255-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t0whtw
title: Occurrence Download

description: A dataset containing 53608 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phoxinus phoxinus (Linnaeus, 1758)"
 ]
}

 The dataset includes 53608 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059925-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tukkcw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "DatasetKey is Herps Specimens"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095750-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d1wncx
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stewartia floridana (Conrad, 1833)",
 "Geometry POLYGON((-100.52 17.53,-100.52 33.29,-72.97 33.29,-72.97 17.53,-100.52 17.53))",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059966-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjpwge
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "DatasetKey is Taxonomic revision of the Malagasy Camponotus grandidieri and niveosetosus species groups (Hymenoptera, Formicidae) using qualitative and quantitative morphology"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095758-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfwuen
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Munnozia wilburii H.Rob."
 ]
}

 The dataset includes 85 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177256-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m53nry
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriospermum triphyllum Baker"
 ]
}

 The dataset includes 50 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202055-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk3v4k
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setaria distantiflora (A.Rich.) Pilg."
 ]
}

 The dataset includes 83 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059976-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qctnrm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "DatasetKey is Herbario Nacional Colombiano (COL)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095760-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qlczjx
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guillenia lasiophylla (Hook. & Arn.) Greene",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 295 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059985-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x44jfe
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriospermum villosum Baker"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202064-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.04htea
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "DatasetKey is Fungus Collections at Staatliches Museum für Naturkunde Karlsruhe (Herbarium KR)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095762-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zp38ny
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microchilus whitefoordiae Ormerod"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177258-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4a46c
title: Occurrence Download

description: A dataset containing 139332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum mantegazzianum Sommier & Levier"
 ]
}

 The dataset includes 139332 records from 459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202059-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvw3ej
title: Occurrence Download

description: A dataset containing 77075 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CABI Africa Invasive and Alien Species data"
 ]
}

 The dataset includes 77075 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060016-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb7iwg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "DatasetKey is Invertebrate collection"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095768-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.