cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.49rt3e
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eruca vesicaria",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040605-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16938022
title: EnterpriseWorld 7DAI Superintelligence System Test Drive

description: EnterpriseWorld 7DAI Superintelligence Test Drive Repository contains the official prompts and step-by-step guides for enterprise AI evaluations, recommendations, designs, and deployments. It provides structured test drives for archetypical positioning discovery, strategic alternatives, and migration to new archetypes using the 7DAI framework.

Español

El Repositorio de Prueba de Manejo de EnterpriseWorld 7DAI Superintelligence contiene los prompts oficiales y guías paso a paso para evaluaciones, recomendaciones, diseños y despliegues de IA empresarial. Ofrece pruebas estructuradas para el descubrimiento de posicionamiento arquetípico, alternativas estratégicas y migración hacia nuevos arquetipos con el marco 7DAI.

Português

O Repositório de Test Drive do EnterpriseWorld 7DAI Superintelligence reúne os prompts oficiais e guias passo a passo para avaliações, recomendações, projetos e implantações de IA empresarial. Fornece test drives estruturados para descoberta de posicionamento arquetípico, alternativas estratégicas e migração para novos arquétipos com a estrutura 7DAI.
DOI: 10.5281/zenodo.16938010
title: Celestial Instruments and Phenomena in Pre-Modern Navigation and Timekeeping

description: This is a mirror of the preprint originally published on OSF: https://osf.io/938pm/
DOI: 10.5281/zenodo.16938009
title: Celestial Instruments and Phenomena in Pre-Modern Navigation and Timekeeping

description: This is a mirror of the preprint originally published on OSF: https://osf.io/938pm/
DOI: 10.6084/m9.figshare.29976403
title: <b>ESG CREDENTIAL LAUNDERING ACROSS MULTI-TIER SUPPLY NETWORKS: A NETWORK LEGITIMACY PERSPECTIVE</b>

description: <b>Research Context</b>This study examines ESG credential laundering in global supply chains between 2014 and 2024. Credential laundering refers to situations where firms inflate their sustainability standing by borrowing or displaying ESG certifications (e.g., ISO 14001, FSC, SA8000, sustainability-linked loans) from network partners, despite weak underlying performance.The research integrates Institutional Theory, Network Governance, and Resource Dependence Theory to explain why and how such misalignments occur:i. Institutional pressures push firms to adopt or display certifications for legitimacy.Network governance structures enable diffusion of these credentials across buyer–supplier ties.Resource dependence dynamics create incentives for weaker firms to borrow legitimacy from stronger partners.The study investigates three hypotheses:Weak-performing suppliers are disproportionately likely to launder credentials when connected to certified buyers.Network complexity amplifies laundering by diffusing symbolic credentials across multi-tier chains.Verification intensity and regulatory scrutiny reduce laundering by disciplining symbolic compliance.<b>Dataset Overview</b>The supplier–year panel dataset underpins this analysis. It captures how ESG credentials circulate across networks and compares them to independently validated ESG performance.i. Unit of analysis: supplier–year observationCoverage: 2014–2024Size: 452,318 rows; 75,391 unique suppliers across multiple industries (manufacturing, apparel, forestry, automotive, energy equipment)Structure: Directed buyer–supplier networks with annual observations<b>Key Variables</b>i. Laundered (binary): 1 if a supplier’s credential mismatch index (CPM) exceeds the 95th percentile in its industry–country–year cell.Borrowed Credential Exposure (BCE): Weighted exposure to certified partners via supply, finance, association, and co-location ties.Displayed Credential Index (DCI): Mentions of credentials in reports, supplier codes, and audit seals.Independent Performance (PERF): ESG performance index derived from emissions, incident data, and median ESG ratings across providers.CPM (Credential–Performance Mismatch): Composite measure combining BCE, DCI, and PERF.Controls: Firm size, age, ROA, leverage, export intensity, ownership type, group affiliation, and ESG salience of the industry–country context.Moderators:a. Network complexity (path length, betweenness, intermediation).Verification intensity (third-party audits, regulatory shocks).Tier-1 adjacency (proximity to certified buyers).<b>Data Use and Validity</b>i. The dataset is synthetic but research-aligned: all values, distributions, and correlations are calibrated to reproduce the empirical patterns described in the manuscript.It is designed for repository deposit, ensuring reproducibility while protecting confidentiality (no proprietary firm-level data).Researchers can replicate descriptive statistics, hypothesis tests, and robustness checks using this dataset.
DOI: 10.6084/m9.figshare.29976403.v1
title: <b>ESG CREDENTIAL LAUNDERING ACROSS MULTI-TIER SUPPLY NETWORKS: A NETWORK LEGITIMACY PERSPECTIVE</b>

description: <b>Research Context</b>This study examines ESG credential laundering in global supply chains between 2014 and 2024. Credential laundering refers to situations where firms inflate their sustainability standing by borrowing or displaying ESG certifications (e.g., ISO 14001, FSC, SA8000, sustainability-linked loans) from network partners, despite weak underlying performance.The research integrates Institutional Theory, Network Governance, and Resource Dependence Theory to explain why and how such misalignments occur:i. Institutional pressures push firms to adopt or display certifications for legitimacy.Network governance structures enable diffusion of these credentials across buyer–supplier ties.Resource dependence dynamics create incentives for weaker firms to borrow legitimacy from stronger partners.The study investigates three hypotheses:Weak-performing suppliers are disproportionately likely to launder credentials when connected to certified buyers.Network complexity amplifies laundering by diffusing symbolic credentials across multi-tier chains.Verification intensity and regulatory scrutiny reduce laundering by disciplining symbolic compliance.<b>Dataset Overview</b>The supplier–year panel dataset underpins this analysis. It captures how ESG credentials circulate across networks and compares them to independently validated ESG performance.i. Unit of analysis: supplier–year observationCoverage: 2014–2024Size: 452,318 rows; 75,391 unique suppliers across multiple industries (manufacturing, apparel, forestry, automotive, energy equipment)Structure: Directed buyer–supplier networks with annual observations<b>Key Variables</b>i. Laundered (binary): 1 if a supplier’s credential mismatch index (CPM) exceeds the 95th percentile in its industry–country–year cell.Borrowed Credential Exposure (BCE): Weighted exposure to certified partners via supply, finance, association, and co-location ties.Displayed Credential Index (DCI): Mentions of credentials in reports, supplier codes, and audit seals.Independent Performance (PERF): ESG performance index derived from emissions, incident data, and median ESG ratings across providers.CPM (Credential–Performance Mismatch): Composite measure combining BCE, DCI, and PERF.Controls: Firm size, age, ROA, leverage, export intensity, ownership type, group affiliation, and ESG salience of the industry–country context.Moderators:a. Network complexity (path length, betweenness, intermediation).Verification intensity (third-party audits, regulatory shocks).Tier-1 adjacency (proximity to certified buyers).<b>Data Use and Validity</b>i. The dataset is synthetic but research-aligned: all values, distributions, and correlations are calibrated to reproduce the empirical patterns described in the manuscript.It is designed for repository deposit, ensuring reproducibility while protecting confidentiality (no proprietary firm-level data).Researchers can replicate descriptive statistics, hypothesis tests, and robustness checks using this dataset.
DOI: 10.15468/dl.zkr5rj
title: Occurrence Download

description: A dataset containing 431703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Convallaria majalis"
 ]
}

 The dataset includes 431703 records from 1283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040563-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z8mwh
title: Occurrence Download

description: A dataset containing 2210591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2210591 records from 891 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040582-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/bf0-a6m-9s0
title: †Donaldina Knight, 1933

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qtc-sbc-nhc
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qy2-dw5-jw5
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cqw-vnp-w0y
title: Balclutha Kirkaldy, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f5b-2r2-v1k
title: †Linoproductus Chao, 1927

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a21-lpb-nq5
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j2q-1ds-baj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d62-gzs-fc7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y59-134-54z
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78f-sa2-5pb
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r9y-fhn-tdj
title: Nuculidae J. E. Gray, 1824

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rx3-fnh-bl9
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/71n-9lt-hxm
title: Hamites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zkx-jfk-jnz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ef4-f28-fnr
title: Crioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mkb-lvg-ysb
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/00s-p7y-mq5
title: †Trachydomia Meek & Worthen, 1866

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eem-xz3-6sz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wk9-p0t-rzc
title: Belemnites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tt3-304-jmt
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zr1-vaw-akz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q7p-4nx-46c
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tg1-9c9-hx9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0t3-j5k-82e
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/99p-7wx-qkw
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c72-sy7-6vq
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gkv-2hg-tk9
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gx0-w27-lg1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cvq-bzs-epr
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l09-1cb-9wz
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ge-vtb-b42
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/8yg88x7rdk.4
title: Comparative analysis of RNA 3D structure prediction methods: towards enhanced modeling of RNA-Ligand interactions

description: This dataset accompanies the publication "Comparative Analysis of RNA 3D Structure Prediction Methods: Towards Enhanced Modeling of RNA-Ligand Interactions." Our study's primary objective was to evaluate the accuracy of various methods in modeling RNA structures, with a particular focus on RNA-small molecule complexes and ligand-binding sites.

We scrutinized the performance of six RNA 3D structure prediction programs—DeepFoldRNA, RhoFold, BRiQ, FARFAR2, SimRNA, and Vfold2—using RNA sequences as a standard input across all methods. Methods like FARFAR2, SimRNA, and Vfold2 were examined both with and without the inclusion of secondary structure information. Notably, BRiQ requires secondary structure restraints for its operation and was, therefore, only run under these conditions. The dataset is meticulously organized into sub-directories named according to each method. For SimRNA, FARFAR2, and Vfold2, directories without secondary structure input maintain the method's name, whereas runs that included secondary structure information are denoted with an '_ss' suffix (e.g., SimRNA_ss).

For instances where secondary structures were utilized, we employed ideal secondary structures derived from the reference structure, extracted using the x3dna-dssr program v1.9.10. All secondary structures were subject to manual inspection and refinement to address any anomalies introduced by x3dna-dssr, ensuring the highest fidelity in our modeling efforts.

During the final stages of preparing this publication, AlphaFold 3 was released. To benchmark the performance of all ML-based methods (AlphaFold 3, DeepFoldRNA, and RhoFold), we developed two new datasets: Blind set 1 (B1) and Blind set 2 (B2) (see Supplementary Table S2).
DOI: 10.3535/j9g-nhv-m2c
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w8z-7x2-mdt
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1m2-l8c-mxz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mcg-yfq-nsc
title: †Cleiothyridina Buckman, 1906

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fsx-cyb-0rx
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mgp-wv2-51h
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1xq-wba-dmh
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c21-mlc-9zf
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/en5-3pc-7jr
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3886/e227693
title: Veterans Admin State Summaries South Carolina

description: This set of files includes the state summary for South Carolina for 2019. Tables included are Veterans as a percent of county population, VA facilities and expenditures, healthcare and benefits, veteran population by age, period of service, household income, education, and population projections.
description: Veterans from South Carolina<br><br>.
DOI: 10.3886/e227693v1
title: Veterans Admin State Summaries South Carolina

description: This set of files includes the state summary for South Carolina for 2019. Tables included are Veterans as a percent of county population, VA facilities and expenditures, healthcare and benefits, veteran population by age, period of service, household income, education, and population projections.
description: Veterans from South Carolina<br><br>.
DOI: 10.15468/dl.msh4w3
title: Occurrence Download

description: A dataset containing 3360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Yucca aloifolia L."
 ]
}

 The dataset includes 3360 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007895-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.935jq6
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Trichotichnus dichrous (Dejean, 1829)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 75 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007899-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e230302
title: ECIN Replication Package for Sentiment Shocks, Productivity, and Long-Run Growth

description: This project contains the replication package for the paper titled "<b>Sentiment Shocks, Productivity, and Long-Run Growth</b>."<br><br>Abstract We study the effect of sentiment shocks, changes in confidence unrelated to the fundamentals, on the US economy in the long run. We identify quarterly sentiment shocks using the quarterly averages of monthly sentiment shocks as an instrument in the IV-SVAR framework. We find that output and potential output permanently increase in response to a sentiment shock. The increase in R&D investments is the main transmission channel of sentiment shocks on productivity and long-run economy. The findings imply that the changes in consumer confidence are not only a measure of expected future productivity growth but also a source of them.
DOI: 10.6073/pasta/d430f23972274c155f0b6b144df4ba6f
title: Hubbard Brook Stream Ecology Record: Diatom Species Richness and Voucher Flora, 2018-2022

description: This dataset contains species richness data for epiphytic diatom communities collected from weir ponds in seven headwater streams within the Hubbard Brook Experimental Forest (HBEF) in New Hampshire between 2018 and 2021. Diatom samples were gathered using artificial bryophyte substrates, deployed in weir ponds to mimic natural diatom habitats. Species richness was quantified by identifying diatom taxa to the lowest possible taxonomic level, with 86 taxa spanning 43 genera recorded. This dataset represents the first comprehensive classification of diatom communities at HBEF, providing a baseline for future studies in this ecosystem. Environmental variables, including light availability, dissolved organic carbon, total dissolved nitrogen, and pH, were concurrently measured to assess their influence on diatom community composition. The light (lux) data used in this study is openly available in the EDI Data Portal at https://doi.org/10.6073/pasta/0f40b75b299494d736645d940fa2b5a4. The chlorophyll-a data and analysis methodology are available at https://doi.org/10.6073/pasta/7fa32d94240fc7780d62cb7e65eafdb2. Reach characteristics were sourced from the EDI Data Portal at https://doi.org/10.6073/pasta/3e4b95149245341d522383bba51de7c7. This study provides valuable insights into the relationships between environmental factors and diatom diversity in northern hardwood forest streams, aiding ecological monitoring and bioindicator studies.
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.