cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4mqbnc
title: Occurrence Download

description: A dataset containing 39391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum lycopersicum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 39391 records from 476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259377-210914110416597/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/14758184
title: kanish-vortex
DOI: 10.5281/zenodo.18476823
title: Replication Data for: "Topography-Incorporated Adjoint-State Surface Wave Traveltime Tomography for Azimuthally Anisotropic Media"

description: Replication Data for: "Topography-Incorporated Adjoint-State Surface Wave Traveltime Tomography for Azimuthally Anisotropic Media"



# src_rec_file_pub.csv

Field description of `src_rec_file_pub.csv`:

tt: observed Rayleigh wave phase traveltime (sec)


stla, stlo, evla, evlo: latitude and longitude of station and virtual source, respectively


dist: distance between station and virtual source (km)


evtname, staname: name of virtual source and station, respectively


period: period of traveltime measurements (sec)


cor: Phase correction due to uneven distribution of ambient noise (s). This value is added to traveltime to correct for the phase delay.


# sta_info.csv

This file lists name, longitude and latitude of the stations used in this study.


# NCFs_p1.tar.gz, NCFs_p2.tar.gz

`NCFs_p1.tar.gz` includes NCFs between seismic stations deployed in phase 1.

`NCFs_p2.tar.gz` includes NCFs between seismic stations deployed in phase 2.


Here is a reference python code for extracting cross-correlation function and related metadata from the h5 files:

```Python

import pyasdf


ds = pyasdf.ASDFDataSet(path_to_h5file, mode='r')

ad = ds.auxiliary_data['Allstack_rmss']['ZZ']

# Read delta

dt = ad.parameters['dt']

# Read location of receiver and virtual source

lonr, latr = ad.parameters['lonR'], ad.parameters['latR']

lons, lats = ad.parameters['lonS'], ad.parameters['latS']

# Read time domain cross-correlation function

data = ad.data

```
DOI: 10.5281/zenodo.18476824
title: Replication Data for: "Topography-Incorporated Adjoint-State Surface Wave Traveltime Tomography for Azimuthally Anisotropic Media"

description: Replication Data for: "Topography-Incorporated Adjoint-State Surface Wave Traveltime Tomography for Azimuthally Anisotropic Media"



# src_rec_file_pub.csv

Field description of `src_rec_file_pub.csv`:

tt: observed Rayleigh wave phase traveltime (sec)


stla, stlo, evla, evlo: latitude and longitude of station and virtual source, respectively


dist: distance between station and virtual source (km)


evtname, staname: name of virtual source and station, respectively


period: period of traveltime measurements (sec)


cor: Phase correction due to uneven distribution of ambient noise (s). This value is added to traveltime to correct for the phase delay.


# sta_info.csv

This file lists name, longitude and latitude of the stations used in this study.


# NCFs_p1.tar.gz, NCFs_p2.tar.gz

`NCFs_p1.tar.gz` includes NCFs between seismic stations deployed in phase 1.

`NCFs_p2.tar.gz` includes NCFs between seismic stations deployed in phase 2.


Here is a reference python code for extracting cross-correlation function and related metadata from the h5 files:

```Python

import pyasdf


ds = pyasdf.ASDFDataSet(path_to_h5file, mode='r')

ad = ds.auxiliary_data['Allstack_rmss']['ZZ']

# Read delta

dt = ad.parameters['dt']

# Read location of receiver and virtual source

lonr, latr = ad.parameters['lonR'], ad.parameters['latR']

lons, lats = ad.parameters['lonS'], ad.parameters['latS']

# Read time domain cross-correlation function

data = ad.data

```
DOI: 10.17909/fm81-8b73
title: Data from "First Demonstration of Kernel Phase Interferometry on JWST/MIRI: Prospects for Future Planet Searches Around Post Main Sequence Stars"

description: This is just the F770W data from the MEOW dataset for all 17 WDs. Each target was also observed in two other JWST/MIRI filters, but we did not use those. Also included are two brown dwarfs (W0146 and W1711) from PID 2124. There were other targets observed in this program and in filters, but the data we used was for two targets in F1000W. Also included are two white dwarfs from PID 1911 (WD 1202-232 and WD 2105-82). Again, there are other targets and wavelengths observed in that program, but we only looked at these two white dwarfs in F1500W filter.
DOI: 10.5281/zenodo.18512493
title: 2026 Landlord vs. Tenant State Rankings Index

description: Overview: Scored index ranking all 50 U.S. states on how landlord-friendly or tenant-friendly their laws are, across 10 legal and financial factors on a 1–5 scale (1 = most tenant-friendly, 5 = most landlord-friendly).

Factors Scored:



Formal Landlord/Tenant Act

Rent Control or Stabilization Programs

Regulatory Burdens

Potential Eviction Costs

Average Eviction Rates and Timelines

Required Notice Periods

Effective Property Tax Rates

Adverse Possession Requirements

Security Deposit Rules

Late Fee Rules


Weighting: Legal (35%) · Evictions (35%) · Financial (20%) · Misc (10%)

Potential Uses:



State-by-state comparison of landlord-tenant law

Correlation analysis between factors (e.g., eviction costs vs. timelines)

Policy research and legislative tracking

Real estate investment analysis


Source & Methodology:



Cited Sources, Full Analysis, and State Rankings

Scoring Methodology


Limitations:



Scores are at the state level. City and county ordinances (e.g., NYC, San Francisco, Chicago) can differ significantly from statewide policy and are factored into scoring where they impact a large share of the state's renter population, but individual city-level scores are not broken out.

Scores reflect laws on the books, not enforcement consistency or judicial interpretation.
DOI: 10.5281/zenodo.18512494
title: 2026 Landlord vs. Tenant State Rankings Index

description: Overview: Scored index ranking all 50 U.S. states on how landlord-friendly or tenant-friendly their laws are, across 10 legal and financial factors on a 1–5 scale (1 = most tenant-friendly, 5 = most landlord-friendly).

Factors Scored:



Formal Landlord/Tenant Act

Rent Control or Stabilization Programs

Regulatory Burdens

Potential Eviction Costs

Average Eviction Rates and Timelines

Required Notice Periods

Effective Property Tax Rates

Adverse Possession Requirements

Security Deposit Rules

Late Fee Rules


Weighting: Legal (35%) · Evictions (35%) · Financial (20%) · Misc (10%)

Potential Uses:



State-by-state comparison of landlord-tenant law

Correlation analysis between factors (e.g., eviction costs vs. timelines)

Policy research and legislative tracking

Real estate investment analysis


Source & Methodology:



Cited Sources, Full Analysis, and State Rankings

Scoring Methodology


Limitations:



Scores are at the state level. City and county ordinances (e.g., NYC, San Francisco, Chicago) can differ significantly from statewide policy and are factored into scoring where they impact a large share of the state's renter population, but individual city-level scores are not broken out.

Scores reflect laws on the books, not enforcement consistency or judicial interpretation.
DOI: 10.15468/dl.ak4mhv
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Waltillia hatschbachii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 31 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017703-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hz3peh
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-122.70395 49.39317,-122.77272 49.34135,-122.81104 49.26127,-122.81693 49.18748,-122.74522 49.16501,-122.64108 49.15216,-122.57329 49.17271,-122.51336 49.22985,-122.47112 49.36055,-122.70395 49.39317))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ilex aquifolium"
 ]
}

 The dataset includes 401 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017704-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxf5xy
title: Occurrence Download

description: A dataset containing 536536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 536536 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017684-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssgat6
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Perdicula manipurensis"
 ]
}

 The dataset includes 38 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017705-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.529hbb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Werauhia tarmaensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017706-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzqvpp
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-122.70395 49.39317,-122.77272 49.34135,-122.81104 49.26127,-122.81693 49.18748,-122.74522 49.16501,-122.64108 49.15216,-122.57329 49.17271,-122.51336 49.22985,-122.47112 49.36055,-122.70395 49.39317))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hedera helix"
 ]
}

 The dataset includes 131 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017707-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.en4nhg
title: Occurrence Download

description: A dataset containing 31524 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -20.3845909579754
 AND decimallatitude &lt;= -16.25916876999866
 AND decimallongitude &gt;= 127.90594956561445
 AND decimallongitude &lt;= 134.99986333928393
 AND GBIF_Within('POLYGON ((134.999863 -20.384591, 134.999863 -16.259169, 127.905950 -16.259169, 127.905950 -20.384591, 134.999863 -20.384591))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 31524 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017701-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.teu5xf
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wittmackia bicolor",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 65 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017709-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcr47y
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-122.70395 49.39317,-122.77272 49.34135,-122.81104 49.26127,-122.81693 49.18748,-122.74522 49.16501,-122.64108 49.15216,-122.57329 49.17271,-122.51336 49.22985,-122.47112 49.36055,-122.70395 49.39317))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus armeniacus"
 ]
}

 The dataset includes 119 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017711-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42dn8y
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zizkaea tuerckheimii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 45 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017712-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.deqxp7
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia triflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 77 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017713-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18479225
title: Role of squalene hopene cyclase in azole-resistance and virulence of Aspergillus fumigatus

description: This dataset contains the numerical source data underlying the figures and tables of the associated manuscript. The files include raw measurements and values used for statistical analysis and figure preparation.
DOI: 10.5281/zenodo.18479226
title: Role of squalene hopene cyclase in azole-resistance and virulence of Aspergillus fumigatus

description: This dataset contains the numerical source data underlying the figures and tables of the associated manuscript. The files include raw measurements and values used for statistical analysis and figure preparation.
DOI: 10.15468/dl.ra3qsg
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinoschoenus aphyllus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 281 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017714-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18287378
title: Calibration output files for "Can conceptual rainfall-runoff models capture multi-annual storage dynamics"
DOI: 10.15468/dl.ysu48h
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Occurrence evidence, Material sample, Human Observation, Specimen)",
 "Continent is North America",
 "Geometry POLYGON((-122.71256 49.18142,-122.57684 49.20125,-122.54641 49.35706,-122.69158 49.35706,-122.76996 49.2671,-122.78993 49.23587,-122.71256 49.18142))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vaccinium parvifolium"
 ]
}

 The dataset includes 258 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017715-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18287377
title: Calibration output files for "Can conceptual rainfall-runoff models capture multi-annual storage dynamics"
DOI: 10.5281/zenodo.17743577
title: Collection of Epstein Files

description: This repository serves as a digital archive for a collection of files related to the "Epstein Files" dataset, updated as of November 26, 2025. The dataset includes document compilations, image archives, text resources, and web source backups. Torrent files are included to facilitate the decentralized preservation and distribution of the larger datasets.

File Structure and Contents The repository is organized into the following categories:





PDFs.zip: A collection of portable document format files, likely containing court documents, reports, or scanned records.




IMAGES.zip: A comprehensive archive of visual media associated with the investigation or reporting.




WEB SOURCES.zip & TEXT.zip: Archives of relevant web pages, articles, and plain text transcriptions or notes.




RESOURCES.zip: Supplementary materials and references.




Epstein files [Date].torrent: Magnet link/torrent files for peer-to-peer downloading of the complete dataset versions from November 14 and November 26, 2025.



Usage Notes This dataset is intended for researchers, journalists, and archivists analyzing the timeline, media coverage, and documentation regarding these specific files. Users are advised to verify the checksums (MD5) provided to ensure file integrity.
DOI: 10.5281/zenodo.18512562
title: Collection of Epstein Files

description: This repository serves as a digital archive for a collection of files related to the "Epstein Files" dataset, updated as of November 26, 2025. The dataset includes document compilations, image archives, text resources, and web source backups. Torrent files are included to facilitate the decentralized preservation and distribution of the larger datasets.

File Structure and Contents The repository is organized into the following categories:





PDFs.zip: A collection of portable document format files, likely containing court documents, reports, or scanned records.




IMAGES.zip: A comprehensive archive of visual media associated with the investigation or reporting.




WEB SOURCES.zip & TEXT.zip: Archives of relevant web pages, articles, and plain text transcriptions or notes.




RESOURCES.zip: Supplementary materials and references.




Epstein files [Date].torrent: Magnet link/torrent files for peer-to-peer downloading of the complete dataset versions from November 14 and November 26, 2025.



Usage Notes This dataset is intended for researchers, journalists, and archivists analyzing the timeline, media coverage, and documentation regarding these specific files. Users are advised to verify the checksums (MD5) provided to ensure file integrity.
DOI: 10.17909/zcr4-9k86
title: Data from "First Demonstration of Kernel Phase Interferometry on JWST/MIRI: Prospects for Future Planet Searches Around Post Main Sequence Stars"

description: Included are the F770W data from the MEOW dataset (PID 4403). Each target was additionally observed in two other JWST/MIRI filters, but F770W was the data used in this paper. 

Included are two brown dwarfs (W0146 and W1711) from PID 2124. This program encompasses observations of additional targets and in additional JWST/MIRI filters, but the data used in this paper consists of two brown dwarfs in the F1000W filter. 

Included are two white dwarfs from PID 1911 (WD 1202-232 and WD 2105-82). This program consists of additional targets and in additional JWST/MIRI filters, but the data used in this paper consists of the two white dwarfs in F1500W filter.
DOI: 10.15468/dl.aaup6b
title: Occurrence Download

description: A dataset containing 36527 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -20.3845909579754
 AND decimallatitude &lt;= -16.25916876999866
 AND decimallongitude &gt;= 133.02218754823906
 AND decimallongitude &lt;= 140.19216577541022
 AND GBIF_Within('POLYGON ((140.192166 -20.384591, 140.192166 -16.259169, 133.022188 -16.259169, 133.022188 -20.384591, 140.192166 -20.384591))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 36527 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017710-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc8zmj
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinoscirpus grossus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 229 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017716-260129131611470/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.31220884
title: Dataset for 'Mechanism of Flow Resistance Increase in Dammed Sand-bed Rivers with an Irregular Channel Planform: Roles of Bed Roughness and Channel Form Roughness'

description: Resistance data in the Yangtze River
DOI: 10.6084/m9.figshare.31220884.v1
title: Dataset for 'Mechanism of Flow Resistance Increase in Dammed Sand-bed Rivers with an Irregular Channel Planform: Roles of Bed Roughness and Channel Form Roughness'

description: Resistance data in the Yangtze River