cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18023176
title: Risk Models for Les Argilliez pilot site of TRIQUETRA

description: The list of risk quantification models produced for the pilot site of Les Argilliez in the context of TRIQUETRA, including: 



chemica analysis

geomorphological maps

projected changes.
DOI: 10.5281/zenodo.18022032
title: Data and images for multimodal LLM conformity simulations

description: images/ contains all generated image datasets for the three tasks (lines, color recognition, dots), including both general pools and perplexity-based difficulty/ambiguity sets, organized by task and model. data/ contains the corresponding experiment outputs (intermediate artifacts and summaries such as pickles/CSVs) produced by running the general notebooks over those image sets, organized by task and model.
DOI: 10.5281/zenodo.18022031
title: Data and images for multimodal LLM conformity simulations

description: images/ contains all generated image datasets for the three tasks (lines, color recognition, dots), including both general pools and perplexity-based difficulty/ambiguity sets, organized by task and model. data/ contains the corresponding experiment outputs (intermediate artifacts and summaries such as pickles/CSVs) produced by running the general notebooks over those image sets, organized by task and model.
DOI: 10.15468/dl.q5x8yh
title: Occurrence Download

description: A dataset containing 1044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "Month is one of (November, December, January, February, March, April)",
 "OccurrenceStatus is Present",
 "TaxonKey is Oreotragus oreotragus",
 "Year 2014-2025"
 ]
}

 The dataset includes 1044 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063284-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfwj95
title: Occurrence Download

description: A dataset listing the 31 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.2_1",
 "TaxonKey is Megaselia"
 ]
}

 The dataset's 31 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063282-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/e39qq9
title: Digital Catalogue of Biodiversity of Poland — Animalia: Arthropoda: Hexapoda: Insecta: Hemiptera: Auchenorrhyncha

description: The dataset presents a chapter of the &lt;a href='https://www.gbif.org/dataset/search?keyword=Digital%20Catalogue%20of%20Biodiversity%20of%20Poland'&gt;Digital Catalogue of Biodiversity of Poland&lt;/a&gt;, comprising taxa of (infra)specific level, reported from Poland in the present administrative boundaries of the country. In this instance of the Catalogue, the list includes only taxa of confirmed occurrence, ignoring doubtful records that need verification as well as synonyms and other not valid names. The occurrence of each species is supported by a published reference.
DOI: 10.15468/dl.sa9beb
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.2_1",
 "TaxonKey is Lygus"
 ]
}

 The dataset's 8 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063283-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyedw6
title: Occurrence Download

description: A dataset containing 194642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Spartiniphaga, Agrotis segetum, Creatonotos gangis)",
 "Year 1975-2025"
 ]
}

 The dataset includes 194642 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063274-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9near9
title: Occurrence Download

description: A dataset containing 59552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Netherlands, Germany, France, Sweden, Belgium, Switzerland, Norway, Austria)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Halyzia sedecimguttata"
 ]
}

 The dataset includes 59552 records from 473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063273-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18009213
title: Unit Emergy Values (UEVs) for Energy, Materials, Products, and Environmental Flows

description: This dataset provides a comprehensive collection of Unit Emergy Values (UEVs) for energy carriers, materials, minerals, metals, and environmental flows used in emergy accounting and energy systems analysis. The dataset supports the calculations, examples, and case studies presented in Emergy: The Coupling of Human and Natural Systems.

The UEVs compiled here represent extracted, refined, converted, and delivered forms of energy and materials, extending upstream emergy characterizations through technological and industrial processes required for human use. A primary upstream foundation for many entries is provided by a companion dataset derived from the U.S. Environmental Protection Agency’s EMCF Database for Life Cycle Assessment, recalculated using a Biosphere Dynamic Empower (BDE) baseline of 40.0 × 10²⁴ sej yr⁻¹.

Together, the two datasets provide a continuous emergy accounting framework from global and geologic resource formation to delivered energy and materials. This dataset is intended for research, education, and methodological transparency rather than regulatory or compliance applications
DOI: 10.5281/zenodo.18023242
title: Unit Emergy Values (UEVs) for Energy, Materials, Products, and Environmental Flows

description: This dataset provides a comprehensive collection of Unit Emergy Values (UEVs) for energy carriers, materials, minerals, metals, and environmental flows used in emergy accounting and energy systems analysis. The dataset supports the calculations, examples, and case studies presented in Emergy: The Coupling of Human and Natural Systems.

The UEVs compiled here represent extracted, refined, converted, and delivered forms of energy and materials, extending upstream emergy characterizations through technological and industrial processes required for human use. A primary upstream foundation for many entries is provided by a companion dataset derived from the U.S. Environmental Protection Agency’s EMCF Database for Life Cycle Assessment, recalculated using a Biosphere Dynamic Empower (BDE) baseline of 40.0 × 10²⁴ sej yr⁻¹.

Together, the two datasets provide a continuous emergy accounting framework from global and geologic resource formation to delivered energy and materials. This dataset is intended for research, education, and methodological transparency rather than regulatory or compliance applications
DOI: 10.5066/p13nf9wg
title: Sediment temperature data, sediment redox data, and vertical specific discharge calculations from a salt marsh along the Herring River in Wellfleet, MA, September to December 2023 and June to July 2025

description: Groundwater – surface water (GW-SW) exchange plays a fundamental role in the transport of energy and solutes in coastal salt marshes, which may be influenced by flow of terrestrial groundwater and tidal fluctuations. Sediment heat tracing and redox tracking experiments were conducted at a hillslope-adjacent fringing salt marsh on the Herring River in Wellfleet, MA to test new monitoring methods for characterizing GW-SW exchange at coastal interfaces. In addition to measured sediment temperature time series from saturated peat sediments, this data release contains vertical pore water flux estimates from six locations across a small salt marsh that borders a tidal channel, adjacent to sandy upland terrain. Vertical temperature profilers (i.e., 'VTPs', a rod with vertical temperature sensors with known spacings and depths) were installed at varied spatial positions relative to the tidal channel to estimate 1D GW-SW exchange flux through time using the extended Kalman Filter (EKF) recursive estimation approach as detailed in the metadata. The EKF method was used to recursively estimate vertical pore water flux in discrete time when temperature measurements were acquired (i.e., 10-min) at each location.
DOI: 10.25919/xsc4-ra10
title: Parkes observations for project P1183 semester 2025OCTS_12

description: After nearly three years of monitoring, comprising with the Parkes telescope and the FAST telescopes, FRB 20220529 is proven to be an extremely interesting repeater. It exhibits one of the longest activity durations and a potential ~200-day RM period. Due to frequent observations scheduled with both Parkes and FAST, an abrupt rotation measure (RM) flare has been observed in this source. This is the first detection of such an ``RM flare'' in a fast radio burst (FRB), suggesting that the source is in an environment with occasionally erupting coronal mass ejection. This presents a unique opportunity to study the eruption environment of FRBs and investigate the relation between burst activity and other burst parameters. If confirmed, the periodicity and the ``RM flare'' of FRB 20220529 would corroborate each other and become a ``smoking gun'' of the binary origin of FRB. In previous analysis, both Parkes and FAST observations have proven essential. While FAST's higher sensitivity has enabled the capture of many bursts, Parkes' wideband receiver has provided a good burst detection rate even during low-rate phases. Notably, during the RM flare, two high signal-to-noise ratio bursts from Parkes have been crucial in understanding the RM variations. To further investigate FRB 20220529, we have scheduled regular FAST observations every fortnight, monitoring the source for 20 minutes each time. Therefore, we also propose to monitor FRB 20220529 using the Parkes UWL receiver, ensuring high-time resolution and employing full-polarization observations.
DOI: 10.3886/e228041
title: Data and Code for: Work From Home and the Office Real Estate Apocalypse

description: We show remote work led to large drops in lease revenues, occupancy, and market rents in the commercial office sector. We revalue New York City office buildings taking into account both the cash flow and discount rate implications of these shocks, and find a 46% decline in long run value. For all U.S. office markets combined, we find a $556.8 billion value destruction. Higher quality buildings were buffered against these trends due to a flight to quality, while lower quality office is at risk of becoming a stranded asset. These valuation changes have repercussions for financial stability and local public finances.
description: Main empirical analysis uses lease-level data.
DOI: 10.5281/zenodo.18023240
title: Risk Models for Choirokoitia pilot site of TRIQUETRA

description: The list of risk quantification models produced for the pilot site of Aegina in the context of TRIQUETRA, including: 



geomorphological maps

projected changes.
DOI: 10.5281/zenodo.18023241
title: Risk Models for Choirokoitia pilot site of TRIQUETRA

description: The list of risk quantification models produced for the pilot site of Aegina in the context of TRIQUETRA, including: 



geomorphological maps

projected changes.
DOI: 10.3886/e228041v1
title: Data and Code for: Work From Home and the Office Real Estate Apocalypse

description: We show remote work led to large drops in lease revenues, occupancy, and market rents in the commercial office sector. We revalue New York City office buildings taking into account both the cash flow and discount rate implications of these shocks, and find a 46% decline in long run value. For all U.S. office markets combined, we find a $556.8 billion value destruction. Higher quality buildings were buffered against these trends due to a flight to quality, while lower quality office is at risk of becoming a stranded asset. These valuation changes have repercussions for financial stability and local public finances.
description: Main empirical analysis uses lease-level data.
DOI: 10.5281/zenodo.18020858
title: Assembling unmapped reads reveals hidden variation in South Asian genomes: Data Release

description: This repository contains data related to our paper, "Assembling unmapped reads reveals hidden variation in South Asian genomes". Details of the data can be found in the README.

For full details of the project please visit https://github.com/arun96/SouthAsianGenomeDiversity.
DOI: 10.15468/fbda33
title: Digital Catalogue of Biodiversity of Poland — Animalia: Arthropoda: Hexapoda: Insecta: Coleoptera: Adephaga: Geadephaga

description: The dataset presents a chapter of the &lt;a href='https://www.gbif.org/dataset/search?keyword=Digital%20Catalogue%20of%20Biodiversity%20of%20Poland'&gt;Digital Catalogue of Biodiversity of Poland&lt;/a&gt;, comprising taxa of (infra)specific level, reported from Poland in the present administrative boundaries of the country. In this instance of the Catalogue, the list includes only taxa of confirmed occurrence, ignoring doubtful records that need verification as well as synonyms and other not valid names. The occurrence of each species is supported by a published reference.
DOI: 10.5281/zenodo.18003589
title: Emergy Conversion Factors Derived from the EPA EmCF Life Cycle Assessment Database Using a Biosphere Dynamic Empower (BDE) Baseline

description: This dataset provides emergy conversion factors derived from the U.S. Environmental Protection Agency’s EmCF Database for Life Cycle Assessment (“emcf-database-for-lca_508-compliant”). The original EMCF database was developed at the Center for Environmental Policy, University of Florida, under contract to the U.S. Environmental Protection Agency, and contains life cycle inventory and characterization data for environmental flows, minerals, fossil fuels in the ground, and biome-specific soils and organic matter representing resources in their pre-extraction and pre-refinement states.

In this derivative dataset, the original EPA data have been systematically recalculated into emergy-based conversion factors using a Biosphere Dynamic Empower (BDE) baseline of 40.0 × 10²⁴ sej yr⁻¹. The dataset serves as the primary emergy foundation for a companion Unit Emergy Value (UEV) database that supports the analyses presented in Emergy: The Coupling of Human and Natural Systems. It is intended for research, education, and methodological transparency and is not affiliated with or endorsed by the U.S. Environmental Protection Agency.
DOI: 10.5281/zenodo.18003590
title: Emergy Conversion Factors Derived from the EPA EmCF Life Cycle Assessment Database Using a Biosphere Dynamic Empower (BDE) Baseline

description: This dataset provides emergy conversion factors derived from the U.S. Environmental Protection Agency’s EmCF Database for Life Cycle Assessment (“emcf-database-for-lca_508-compliant”). The original EMCF database was developed at the Center for Environmental Policy, University of Florida, under contract to the U.S. Environmental Protection Agency, and contains life cycle inventory and characterization data for environmental flows, minerals, fossil fuels in the ground, and biome-specific soils and organic matter representing resources in their pre-extraction and pre-refinement states.

In this derivative dataset, the original EPA data have been systematically recalculated into emergy-based conversion factors using a Biosphere Dynamic Empower (BDE) baseline of 40.0 × 10²⁴ sej yr⁻¹. The dataset serves as the primary emergy foundation for a companion Unit Emergy Value (UEV) database that supports the analyses presented in Emergy: The Coupling of Human and Natural Systems. It is intended for research, education, and methodological transparency and is not affiliated with or endorsed by the U.S. Environmental Protection Agency.
DOI: 10.3886/e230901
title: Code for: Take the Goods and Run: Contracting Frictions and Market Power in Supply Chains

description: This repository replicates the paper "Take the Goods and Run: Contracting Frictions and Market Power in Supply Chains" by Felipe Brugués. <br>The abstract of the paper is:<br>This paper studies the efficiency of self-enforced relational agreements, a common solution to contracting frictions, when sellers have market power and contracts cannot be externally enforced. To this end, I develop a dynamic contracting model with limited enforcement in which buyers can default on their trade-credit debt and estimate it using a novel dataset from the Ecuadorian manufacturing supply-chain. The key empirical finding is that bilateral trade is inefficiently low in early periods of the relationship, but converges toward efficiency over time, despite sellers’ market power. Counterfactual simulations imply that both market power and enforcement contribute to inefficiencies in trade.<br>
description: None
description: Presence of Common Scales: None
description: The data included all manufacturing firms in pharmaceutical, cement-products, and textiles with electronic invoice data in 2016 and 2017.
description: The set of firms in pharmaceutical, cement-products, and textiles with electronic invoice data in 2016 and 2017, and their corresponding trading partners. Smallest Geographic Unit: Ecuador
description: other;
DOI: 10.3886/e230901v1
title: Code for: Take the Goods and Run: Contracting Frictions and Market Power in Supply Chains

description: This repository replicates the paper "Take the Goods and Run: Contracting Frictions and Market Power in Supply Chains" by Felipe Brugués. <br>The abstract of the paper is:<br>This paper studies the efficiency of self-enforced relational agreements, a common solution to contracting frictions, when sellers have market power and contracts cannot be externally enforced. To this end, I develop a dynamic contracting model with limited enforcement in which buyers can default on their trade-credit debt and estimate it using a novel dataset from the Ecuadorian manufacturing supply-chain. The key empirical finding is that bilateral trade is inefficiently low in early periods of the relationship, but converges toward efficiency over time, despite sellers’ market power. Counterfactual simulations imply that both market power and enforcement contribute to inefficiencies in trade.<br>
description: None
description: Presence of Common Scales: None
description: The data included all manufacturing firms in pharmaceutical, cement-products, and textiles with electronic invoice data in 2016 and 2017.
description: The set of firms in pharmaceutical, cement-products, and textiles with electronic invoice data in 2016 and 2017, and their corresponding trading partners. Smallest Geographic Unit: Ecuador
description: other;
DOI: 10.15468/dl.qtwnsf
title: Occurrence Download

description: A dataset containing 11203476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larus delawarensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 11203476 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063277-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17925503
title: Data and model for the 'The 2025 M_w 7.1 Tingri (South Tibet) Earthquake: Rupture of Normal Conjugate Optimally Oriented Faults, Shallow Coseismic Slip Deficit, and Early Afterslip'

description: This dataset contains the input geodetic data, fault traces, and output slip model.

Column description for the slip model:

1: Fault ID

2: Slip element ID

3: Layer ID

4: Strike-slip (cm), right lateral positive

5: Dip slip (cm), west side moving up positive

6: Longitude

7: Latitude

8: Depth (km)

9-15: connectivity by slip element index

16: strike

17: dip

Column description for sampled data

1: easting

2: northing

3: displacement (cm)

4-6: look angle (e, n, u)

Cartesian coordinates for the subsampled data are calculated from the central longitude 28.5, and the center coordinate is [87.5, 28.5]. 

 

For questions, please contact Xiaoyu Zou (x3zou@ucsd.edu)
DOI: 10.5281/zenodo.18022047
title: Data and model for the 'The 2025 M_w 7.1 Tingri (South Tibet) Earthquake: Rupture of Normal Conjugate Optimally Oriented Faults, Shallow Coseismic Slip Deficit, and Early Afterslip'

description: This dataset contains the input geodetic data, fault traces, and output slip model.

Column description for the slip model:

1: Fault ID

2: Slip element ID

3: Layer ID

4: Strike-slip (cm), right lateral positive

5: Dip slip (cm), west side moving up positive

6: Longitude

7: Latitude

8: Depth (km)

9-15: connectivity by slip element index

16: strike

17: dip

Column description for sampled data

1: easting

2: northing

3: displacement (cm)

4-6: look angle (e, n, u)

Cartesian coordinates for the subsampled data are calculated from the central longitude 28.5, and the center coordinate is [87.5, 28.5]. 

 

For questions, please contact Xiaoyu Zou (x3zou@ucsd.edu)
DOI: 10.15468/dl.9nzczn
title: Occurrence Download

description: A dataset containing 1099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-66.92673 18.04681,-66.87936 18.03618,-66.88456 18.10581,-66.92673 18.10581,-66.92673 18.04681))",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1099 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063285-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231722
title: Data and Code for: "Consumer Credit and the Incidence of Tariffs: Evidence from the Auto Industry"

description: Data and code for replicating the results in "Consumer Credit and the Incidence of Tariffs: Evidence from the Auto Industry". <br><br>Paper Abstract:<br><br>"Captive finance subsidiaries create a channel for trade policy to affect consumer credit. Examining the impact of the Trump administration's metal tariffs on captive automobile lenders, we find that consumers received higher interest rates from captive lenders after the tariffs relative to unaffected non-captive lenders. Further, we document a disparate impact on low-income borrowers and in areas with less lending competition. Our results suggest that tariffs may impact not only the price of goods but also the financing terms of purchases. Thus, focusing solely on directly affected product prices may underestimate tariff pass-through significantly."
description: Unweighted.
description: Response Rates: The final auto loan sample consists of roughly 2 million securitized auto loans from 127 distinct asset-backed securities and 14 lenders. <br><br>The final vehicle sales sample consists of roughly 2 million new vehicles sold and registered in the state of Texas.<br><br><br>
description: The auto loan sample comes from public auto loan ABS. <br><br>The new vehicle sales sample comes from the State of Texas Department of Motor Vehicles.
description: Auto loans originated between 2017 and 2018. <br><br>New vehicle sales between 2017 and 2018. Smallest Geographic Unit: State.
description: other;