cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17589562
title: DARE Database

description: The DARE Database is a set of handwritten character dates derived from different historical sources from Sweden and Denmark. Additional details are available on our GitHub and on arXiv.

There are seven splits provided in this dataset representing the different data sources. Each folder contains the respective minipics and their labels split into test and training files. The number of files and tokens are:

Train images: 2,876,752Test images: 152,414Total number of images: 3,029,166Total number of tokens: 9,682,027

Which is further explained in the following table:




Datasets
Sequence
Training Observations
Test Observations




Death Certificates (1)
DD-MM-YYYY
11,627
1,000


Death Certificates (2)
DD-MM-YYYY
155,439
8,338


Police Records (1)
DD-MM-YY
1,006,199
53,488


Police Records (2)
DD-MM-YY
326,478
17,103


Swedish Records Birth Dates
DD-MM-YY
597,756
31,389


Swedish Records Death Dates
DD-MM
547,813
28,803


Funeral Records
DD-MM
231,440
12,293




Note that for data restriction reasons, the CIHVR images are excluded (as we do not have permission to publicly share those).

The only exception to our images consisting purely of digits arise from the month in the date sequences which sometimes is written with alphabetic characters, e.g., "February" or "Feb". The original images are acquired from Copenhagen Archives, the National Archives of Denmark, and Lund University. The minipics are created using Coherent Point Drift to extract the regions of interest from the source documents.

One comment about the Swedish cause of death records is that a lot of these are labelled as either empty or partly empty. Partly empty, e.g., ' 29-" ' represents that the cell with respect to the month is in fact not empty but rather that the month is the same as above. It is quite common in many historical tabulated records that they use a special mark for notating the same as above. The other cells labelled as ' ,-,-, ' for birth dates or ' ,-, ' for death dates are completely empty cells and could be excluded for pure digit recognition models. However, for transcribing historical records, empty cells are frequently represented and should be taken into account one way or another.
DOI: 10.5281/zenodo.17589563
title: DARE Database

description: The DARE Database is a set of handwritten character dates derived from different historical sources from Sweden and Denmark. Additional details are available on our GitHub and on arXiv.

There are seven splits provided in this dataset representing the different data sources. Each folder contains the respective minipics and their labels split into test and training files. The number of files and tokens are:

Train images: 2,876,752Test images: 152,414Total number of images: 3,029,166Total number of tokens: 9,682,027

Which is further explained in the following table:




Datasets
Sequence
Training Observations
Test Observations




Death Certificates (1)
DD-MM-YYYY
11,627
1,000


Death Certificates (2)
DD-MM-YYYY
155,439
8,338


Police Records (1)
DD-MM-YY
1,006,199
53,488


Police Records (2)
DD-MM-YY
326,478
17,103


Swedish Records Birth Dates
DD-MM-YY
597,756
31,389


Swedish Records Death Dates
DD-MM
547,813
28,803


Funeral Records
DD-MM
231,440
12,293




Note that for data restriction reasons, the CIHVR images are excluded (as we do not have permission to publicly share those).

The only exception to our images consisting purely of digits arise from the month in the date sequences which sometimes is written with alphabetic characters, e.g., "February" or "Feb". The original images are acquired from Copenhagen Archives, the National Archives of Denmark, and Lund University. The minipics are created using Coherent Point Drift to extract the regions of interest from the source documents.

One comment about the Swedish cause of death records is that a lot of these are labelled as either empty or partly empty. Partly empty, e.g., ' 29-" ' represents that the cell with respect to the month is in fact not empty but rather that the month is the same as above. It is quite common in many historical tabulated records that they use a special mark for notating the same as above. The other cells labelled as ' ,-,-, ' for birth dates or ' ,-, ' for death dates are completely empty cells and could be excluded for pure digit recognition models. However, for transcribing historical records, empty cells are frequently represented and should be taken into account one way or another.
DOI: 10.5066/p19nubnw
title: Time-series measurements of oceanographic and seabed response data collected in Cape Cod Bay, Barnstable, MA, March 10 to April 7, 2021

description: To assess cross-shore sediment transport prediction techniques in coastal models for a wave-dominated sandy coast, the U.S. Geological Survey Woods Hole Coastal and Marine Science Center collected data to measure wave-induced and mean current water velocities near the seabed and the response of the seabed to these forces. A four-legged bottom landing frame (quadpod) containing oceanographic instruments was deployed on the seafloor in the nearshore zone of Cape Cod Bay off Sandy Neck Beach, Barnstable, MA on March 10, 2021 and recovered April 7, 2021, to coincide with a climatologically active period for storms. The quadpod was mounted with upward- and downward-looking 5-beam acoustic doppler current profilers (Nortek Signatures) to measure velocity throughout the water column and calculate wave statistics, two acoustic doppler velocimeters (Nortek Vectors) to measure water velocity near the seabed, a conductivity and temperature recorder (SeaBird Microcat) to measure temperature and salinity, a wave and tide pressure logger (SeaBird Seagauge), a digital rotary sonar (Imagenex) to image the seabed, and an acoustic backscatter sensor (Aquatec Aquascat) to profile acoustic backscatter near the seabed. Time-series data was processed using USGS software (stglib), producing network Common Data Format (netCDF) files, compliant to Climate and Forecast (CF) data convention. Additionally, sediment samples were collected for grain-size analysis. These data will be used in a coupled ocean-atmosphere-wave-sediment transport model at different grid scales to encompass storm events, regional waves and currents, and fine-resolution wave-breaking to increase our understanding of the drivers that control sediment movement in Cape Cod Bay and help coastal zone managers to better address shoreline change issues.
DOI: 10.15468/dl.tcuqrg
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gulo gulo luscus"
 ]
}

 The dataset includes 597 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046169-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zbqdm
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-113.5188 29.84913, -113.3688 29.84913, -113.3688 29.99913, -113.5188 29.99913, -113.5188 29.84913))"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046170-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15937641
title: ReESH_US-Bi2: Bouldin Island corn

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Bi2: Bouldin Island corn AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.15937640
title: ReESH_US-Bi2: Bouldin Island corn

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Bi2: Bouldin Island corn AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.17654482
title: Datasets for "Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning"

description: This zip file contains all data presented in the manuscript "Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning" by Gregory et al, 2025. These include monthly-mean reforecast data for coupled model forecast experiments corresponding to SPEAR, Hybrid_IO and Hybrid_CPL. Additional data include ML training data, network weights, and normalization statistics for Hybrid_CPL (see 10.5281/zenodo.7818178 for respective Hybrid_IO data). A notebook is also included to recreate the plots from the manuscript.

The corresponding Fortran source code which performs the sea ice bias correction has been saved as a version 1.0 release of the SIS2 code, provided here https://github.com/William-gregory/SIS2/releases. It is also provided in this Zenodo repository under SIS2.zip
DOI: 10.5281/zenodo.15343807
title: Datasets for "Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning"

description: This zip file contains all data presented in the manuscript "Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning" by Gregory et al, 2025. These include monthly-mean reforecast data for coupled model forecast experiments corresponding to SPEAR, Hybrid_IO and Hybrid_CPL. Additional data include ML training data, network weights, and normalization statistics for Hybrid_CPL (see 10.5281/zenodo.7818178 for respective Hybrid_IO data). A notebook is also included to recreate the plots from the manuscript.

The corresponding Fortran source code which performs the sea ice bias correction has been saved as a version 1.0 release of the SIS2 code, provided here https://github.com/William-gregory/SIS2/releases. It is also provided in this Zenodo repository under SIS2.zip
DOI: 10.15468/dl.66b2ff
title: Occurrence Download

description: A dataset containing 1040 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnoperna fortunei"
 ]
}

 The dataset includes 1040 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046171-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtt3w2
title: Occurrence Download

description: A dataset containing 390981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thraupis episcopus",
 "Country is Colombia"
 ]
}

 The dataset includes 390981 records from 585 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046149-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kf88vo
title: Replication Data for: Two-Photon Emission from an Accelerated Detector with Gaussian Switching

description: This dataset contains the Python source code and generated figures for the manuscript mentioned above. The Python script is configured to output figure files (e.g., figure_channels.png) with filenames that match exactly those referenced in the LaTeX source file. Running the script will reproduce all figures used in the paper
DOI: 10.15468/dl.6j5wmc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-113.3688 29.84913, -113.2188 29.84913, -113.2188 29.99913, -113.3688 29.99913, -113.3688 29.84913))"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046173-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17654504
title: SEAMM Package List

description: The package list for the SEAMM environment, also complete conda environment files with and without the version pinned.
DOI: 10.6084/m9.figshare.30657251
title: Slips and asperities

description: This folder contains digitized outlines used in the following figures of the manuscript below:• Figures 1 and 4• Supplementary Figures 1–5, 7, and 9<br>Citation of manuscript:K. Z. Nanjo, T. Hori, and D. Iwata (2025)“Non-randomness of Japan megaquakes implied by stress recovery and accumulation”Submitted to Communications Earth & Environment
DOI: 10.6084/m9.figshare.30657251.v3
title: Slips and asperities

description: This folder contains digitized outlines used in the following figures of the manuscript below:• Figures 1 and 4• Supplementary Figures 1–5, 7, and 9<br>Citation of manuscript:K. Z. Nanjo, T. Hori, and D. Iwata (2025)“Non-randomness of Japan megaquakes implied by stress recovery and accumulation”Submitted to Communications Earth & Environment
DOI: 10.6084/m9.figshare.30657251.v2
title: Slips and asperities

description: This folder contains digitized outlines used in the following figures of the manuscript below: • Figures 1 and 4 • Supplementary Figures 1–5, 7, and 8<br>Citation of manuscript:K. Z. Nanjo, T. Hori, and D. Iwata (2025)“Non-randomness of Japan megaquakes implied by stress recovery and accumulation”Submitted to Communications Earth & Environment
DOI: 10.5281/zenodo.17653011
title: Data for publication 'Colorectal cancer relies on an immunosuppressive cellular topography and genomic adaptations for establishing brain metastases'

description: Expression matrices for Visium, Xenium and scRNA-seq

Assembled deconvolution reference for brain metastasis and primary CRC
DOI: 10.5281/zenodo.17653012
title: Data for publication 'Colorectal cancer relies on an immunosuppressive cellular topography and genomic adaptations for establishing brain metastases'

description: Expression matrices for Visium, Xenium and scRNA-seq

Assembled deconvolution reference for brain metastasis and primary CRC
DOI: 10.7910/dvn/cemwf6
title: Replication Data for: Navigating Policy Legitimacy: The Distributive and Procedural Justice of Road Transport Pricing Schemes

description: A major question in politics concerns how the policymaking process shapes political legitimacy. Drawing from the distributive and procedural justice literature, we propose two explanatory factors influencing legitimacy: 1) the distributive policy impact (i.e. the extent to which policy losers show lower support), and 2) the inclusion of organized interests in the decision-making process (i.e. whether their involvement increases the acceptance of a decision outcome). In addition, we advance the existing legitimacy literature by theorizing how individuals, given their core preferences and their evaluation of a policy outcome, value alternative decision scenarios and policy outcomes. We test this framework through a survey experiment on the extent to which individuals support different road transport pricing schemes. Although our results give credit to the winner-loser model, they challenge a utilitarian perspective on legitimacy, as many individuals care about equity principles and the decision-making process, irrespective of specific policy outcomes.
DOI: 10.15468/dl.25rpxk
title: Occurrence Download

description: A dataset containing 2415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.03055 4.75302,-74.01117 4.75306,-73.99568 4.75176,-73.98582 4.757,-73.98072 4.77115,-74.00576 4.77514,-74.02711 4.77293,-74.0298 4.77087,-74.03055 4.75302))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2415 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046176-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqv6fg
title: Occurrence Download

description: A dataset containing 32928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphydryas maturna",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32928 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046177-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prauab
title: Occurrence Download

description: A dataset containing 13502 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morone americana"
 ]
}

 The dataset includes 13502 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046178-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16031874
title: ReESH_US-Ton: Tonzi Ranch

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Ton: Tonzi Rancht AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.16031873
title: ReESH_US-Ton: Tonzi Ranch

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:US-Ton: Tonzi Rancht AmeriFlux Site

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)