cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18090143
title: Supplementary Data and Code for: From Black Box to Glass Box: Diagnosing and Calibrating Vision-Language Models as Ecological Indicators in Mega-Infrastructure Landscapes

description: This repository contains the dataset and source code supporting the research article "From Black Box to Glass Box: Diagnosing and Calibrating Vision-Language Models as Ecological Indicators in Mega-Infrastructure Landscapes".
DOI: 10.5281/zenodo.18090144
title: Supplementary Data and Code for: From Black Box to Glass Box: Diagnosing and Calibrating Vision-Language Models as Ecological Indicators in Mega-Infrastructure Landscapes

description: This repository contains the dataset and source code supporting the research article "From Black Box to Glass Box: Diagnosing and Calibrating Vision-Language Models as Ecological Indicators in Mega-Infrastructure Landscapes".
DOI: 10.7910/dvn/ae0rv5
title: Replication Data for: The California Voting Rights Act and Uncontested City Council Seats

description: Replication data and code for "The California Voting Rights Act and Uncontested City Council Seats"
DOI: 10.7910/dvn/dah1so
title: PFAS Sampling Rates in Microporous Polyethylene Tube Samplers

description: &lt;p&gt;&lt;strong&gt;Dataset Description&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;
This dataset contains PFAS water concentrations measured using grab samples and PFAS accumulated in microporous polyethylene tube (MPT) passive samplers across five field campaigns. These data were used to reevaluate PFAS sampling rates for MPT passive samplers. An overview of sampling sites and sources of temperature data used in the reevaluation is also provided.
&lt;/p&gt;

&lt;p&gt;
The five field campaigns are labeled according to principal investigator and field site:
&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;&lt;strong&gt;CG_RI&lt;/strong&gt;: Christine Gardiner, Narragansett Bay, Rhode Island&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;JS_DU&lt;/strong&gt;: Jarod Snook, Duluth, Minnesota&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;JS_ME&lt;/strong&gt;: Jarod Snook, Maine&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;MD_CC&lt;/strong&gt;: Matthew Dunn, Cape Cod, Massachusetts&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;MD_WE&lt;/strong&gt;: Matthew Dunn, Westerly, Rhode Island&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;
For each field campaign, a README file is included that provides the information necessary to locate, interpret, and reuse the associated data. For studies conducted by Jarod Snook, raw data files are provided directly.
&lt;/p&gt;

&lt;p&gt;
Cleaned and compiled datasets are provided as &lt;em&gt;grab_samples.csv&lt;/em&gt;, containing data from grab samples, and &lt;em&gt;pe_tube.csv&lt;/em&gt;, containing data from MPT deployments, grab samples, and re-evaluated sampling rates.
&lt;/p&gt;

&lt;p&gt;
Compound and water type specific PFAS sampling rates derived from averaged values and multiple fitting approaches (linear, inverse linear, and exponential) are provided alongside reference sampling rate data from Australia and Spain in &lt;em&gt;parameters_fresh_salt.csv&lt;/em&gt; and &lt;em&gt;parameters_ground.csv&lt;/em&gt;, respectively.
&lt;/p&gt;
DOI: 10.34740/kaggle/dsv/14336978
title: Physiological_Responses_Crosstalk
DOI: 10.15468/dl.3eh6ze
title: Occurrence Download

description: A dataset containing 1397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vachellia hindsii"
 ]
}

 The dataset includes 1397 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068833-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/1umfsv
title: Agglomeration Economies and Wage Premiums in Vietnam: Direct Benefits, Spatial Spillovers, and Sectoral Interactions

description: Agglomeration Economies and Wage Premiums in Vietnam: Direct Benefits, Spatial Spillovers, and Sectoral Interactions
DOI: 10.7910/dvn/rpqort
title: Computational data for article "Dihydropteroate synthase and dihydrofolate reductase genetic profiling in Pneumocystis suis"

description: Dataset contains three compressed files with results from modeling and simulations for the associated paper. The data include PDB files, simulation and analysis scripts, and visualization sessions. See README.txt for details.
DOI: 10.7910/dvn/8t8c8e
title: Replication Data for: Replication Data for: Labor-Profit Dynamics and Structural Rents in Sector I: A Unified Gamma Mixture MLE Analysis (2005–2023)

description: # Labor-Profit Dynamics via Unified Gamma Mixture MLE (2005–2023)

This repository contains the Python source code and computational framework developed to analyze the distributional characteristics and structural dependencies of the Industrial and Technology sectors.

## Overview

The core of this project is a **Unified Gamma Mixture Maximum Likelihood Estimation (MLE)** framework. It is designed to:
1. Model the empirical distributions of EBIT, R&D, Fixed Capital (PP&E), and Personnel using Gamma mixtures.
2. Independently estimate cross-moments ($E[XY]$) to quantify structural dependencies (covariances) without assuming linear correlations or specific copula forms.
3. Validate model fit using Kolmogorov-Smirnov (KS) tests and Information Criteria (AIC/BIC).

## Repository Structure

- `/data`: Contains the sectoral datasets (CSV format) for the 2005–2023 period.
- `/scripts`: 
 - `main_analysis.py`: The primary script to run the global MLE analysis.
 - `gamma_mixtures.py`: Core functions for the Expectation-Maximization (EM) algorithm and Gamma PDF fitting.
 - `plotting_tool.py`: Script used to generate the Black & White histograms (Figures 3 and 4 in the manuscript).
- `requirements.txt`: List of necessary Python libraries.

## Requirements

To run the scripts, you will need Python 3.8+ and the following libraries:
- `numpy`
- `scipy`
- `pandas`
- `matplotlib`

You can install the dependencies using:
```bash
pip install -r requirements.txt
description: Data Processing and Technical Specifications:Data Source: Raw financial indicators (EBIT, R&D, PP&E, Personnel) were extracted from global financial databases for the period 2005–2023 and harmonized to ensure cross-sectoral comparability.Methodological Framework: All calculations were performed using the Unified Gamma Mixture MLE framework. The provided Python scripts allow for the full reproduction of the structural rent estimates and the decoupling analysis of Sector I.Variables: The dataset includes both fundamental variables and the cross-product interaction variables ($Z_1, Z_2, Z_3, Z_4$) used to estimate structural covariances.Anonymity: This draft dataset and the linked repository are provided for the double-blind peer review process of the associated manuscript.
DOI: 10.7910/dvn/1tvtxa
title: Replication Data for: Conventional vs Innovative Monetary Policy in China: Effects on the Yield Curve and Credit Spreads

description: This dataset provides replication materials for the paper “Conventional vs Innovative Monetary Policy in China: Effects on the Yield Curve and Credit Spreads.” It contains the derived analysis datasets and Stata code required to reproduce the main empirical results (Figures 1–2 and Tables 1, A2–A3), including the constructed conventional and innovative monetary policy shock series and the matched event-day panels used in the yield-curve and credit-spread regressions.

Data sources and restrictions: The underlying raw market data were obtained under license from Bloomberg (interest-rate derivatives) and Wind (bond transactions and yield series) and are proprietary; therefore, the raw data cannot be redistributed. The replication files included here are derived datasets created for analysis, with security identifiers anonymized, and are sufficient to reproduce the reported tables and figures given the included code. Users seeking to rebuild the analysis from raw sources must have access to Bloomberg and Wind.
DOI: 10.15468/5jpb9v
title: Seven new species of Trichostema (Lamiaceae: Ajugoideae) from the North American Coastal Plain biodiversity hotspot

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mcclelland, R. Kevan Schoonover, Weakley, Alan S., Poindexter, Derick B. (2023): Seven new species of Trichostema (Lamiaceae: Ajugoideae) from the North American Coastal Plain biodiversity hotspot. Phytotaxa 603 (2): 95-149, DOI: 10.11646/phytotaxa.603.2.1, URL: http://dx.doi.org/10.1094/PDIS-04-22-0755-PDNAbstractTrichostema section Trichostema occurs in the North American Coastal Plain biodiversity hotspot. Much of the previously noted morphological diversity in this section has so far gone unstudied. A combination of extensive field studies, principal components analyses and statistical tests on morphological data, common garden experiments, nextRAD sequencing, and Bayesian phylogenetic techniques was used to discover and describe taxonomic entities. The Bayesian phylogeny resolved strongly supported clades that mirrored the morphological, ecological, and geographic findings. Given the preponderance of the data, seven new taxa are described herein at species level.
DOI: 10.13020/67k0-bg27
title: Data for 3D Printed Flexible Piezoelectric Sensors for Integrated Hybrid Electronics

description: The ability to 3D print high performance smart materials and multifunctional devices, all seamlessly integrated via a common manufacturing platform, can yield advances in soft robotics, wearable electronics, and human-machine interfaces. One of the most important smart materials in this context are piezoelectrics, due to their dual capabilities in sensing and actuating, which are critical for creating intelligent, responsive systems. In this study, we develop a direct-ink-writing (DIW) 3D printing approach for creating flexible and wearable piezoelectric devices using solution-processed poly(vinylidene fluoride-co-trifluoroethylene) (PVDF-TrFE) as the functional ink. Ferroelectric and actuation-based characterizations are conducted to guide systematic optimization of the electrical poling conditions, yielding high performance 3D printed PVDF-TrFE transducers with d31 coefficient of 12.70 ± 0.71 pC·N-1. Three proof-of-concept smart devices were then fabricated: (1) a touch-based wearable human-machine interface for interactive gaming, (2) a tactile-sensing “electronic skin,” and (3) a multifunctional hybrid electronic system combining piezoelectric sensors and quantum dot light-emitting diodes, all fully 3D printed. This work comprehensively demonstrates ability for 3D printing to generate high performance materials and devices, the use of 3D printing for wearable piezoelectric sensor fabrication, and the versatility of 3D printing for the seamless multifunctional integration of hybrid electronic systems.
description: This data set includes the supporting data for the article, 3D Printed Flexible Piezoelectric Sensors for Integrated Hybrid Electronics. All MATLAB codes and data files were generated and used in MATLAB R2023b.
DOI: 10.15468/dl.bm2tag
title: Occurrence Download

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

 The dataset includes 45 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068834-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30968308
title: Idaho Hunter Crowding Questionnaire: Elk (2023)

description: Idaho Hunter Crowding Questionnaire: Elk (2023)<br>
DOI: 10.6084/m9.figshare.30968308.v1
title: Idaho Hunter Crowding Questionnaire: Elk (2023)

description: Idaho Hunter Crowding Questionnaire: Elk (2023)<br>
DOI: 10.6084/m9.figshare.30968311
title: Idaho Hunter Crowding Questionnaire: Regular Deer (2023)

description: Idaho Hunter Crowding Questionnaire: Regular Deer (2023)
DOI: 10.6084/m9.figshare.30968311.v1
title: Idaho Hunter Crowding Questionnaire: Regular Deer (2023)

description: Idaho Hunter Crowding Questionnaire: Regular Deer (2023)
DOI: 10.5281/zenodo.17387445
title: Dataset of glass compositions and densities for multicomponent silicate‐based glasses

description: This dataset accompanies the article "Data‐driven prediction of room‐temperature density for multicomponent silicate‐based glasses." Journal of the American Ceramic Society, 2023, https://doi.org/10.1111/jace.19072

It compiles over 2000 data points of glass composition and corresponding room-temperature density, including ~1900 experimental measurements and 130 from molecular dynamics simulations. All data were extracted from peer-reviewed literature, cleaned, de-duplicated, standardized, and validated for use in data-driven modeling and machine-learning studies.

The dataset covers a wide compositional space within the CaO–MgO–Al₂O₃–SiO₂–TiO₂–FeO–Fe₂O₃–Na₂O–K₂O–MnO (CMASTFNKM) system. Each entry reports oxide compositions in mol % and the corresponding measured density at room temperature. Every record is traceable to its original source, with full references provided in the accompanying metadata file.

This dataset was originally released as supplementary information with the 2023 publication and is re-hosted here (2025) to improve accessibility, discoverability, and long-term reuse in accordance with the FAIR data principles (Findable, Accessible, Interoperable, and Reusable).

Citation:If you use this dataset, please cite both the dataset DOI and the original publication:





Dataset: Kai Gong and Elsa Olivetti, Dataset of experimental compositions and densities for multicomponent silicate‐based glasses, Zenodo, DOI: 10.5281/zenodo.17387446




Publication: Kai Gong and Elsa Olivetti, Data‐driven prediction of room‐temperature density for multicomponent silicate‐based glasses, Journal of the American Ceramic Society, 106.7 (2023): 4142-4162. https://doi.org/10.1111/jace.19072
DOI: 10.5281/zenodo.17387446
title: Dataset of glass compositions and densities for multicomponent silicate‐based glasses

description: This dataset accompanies the article "Data‐driven prediction of room‐temperature density for multicomponent silicate‐based glasses." Journal of the American Ceramic Society, 2023, https://doi.org/10.1111/jace.19072

It compiles over 2000 data points of glass composition and corresponding room-temperature density, including ~1900 experimental measurements and 130 from molecular dynamics simulations. All data were extracted from peer-reviewed literature, cleaned, de-duplicated, standardized, and validated for use in data-driven modeling and machine-learning studies.

The dataset covers a wide compositional space within the CaO–MgO–Al₂O₃–SiO₂–TiO₂–FeO–Fe₂O₃–Na₂O–K₂O–MnO (CMASTFNKM) system. Each entry reports oxide compositions in mol % and the corresponding measured density at room temperature. Every record is traceable to its original source, with full references provided in the accompanying metadata file.

This dataset was originally released as supplementary information with the 2023 publication and is re-hosted here (2025) to improve accessibility, discoverability, and long-term reuse in accordance with the FAIR data principles (Findable, Accessible, Interoperable, and Reusable).

Citation:If you use this dataset, please cite both the dataset DOI and the original publication:





Dataset: Kai Gong and Elsa Olivetti, Dataset of experimental compositions and densities for multicomponent silicate‐based glasses, Zenodo, DOI: 10.5281/zenodo.17387446




Publication: Kai Gong and Elsa Olivetti, Data‐driven prediction of room‐temperature density for multicomponent silicate‐based glasses, Journal of the American Ceramic Society, 106.7 (2023): 4142-4162. https://doi.org/10.1111/jace.19072
DOI: 10.5281/zenodo.18090455
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Marco O. O. Pellegrini, https://orcid.org/0000-0002-8783-1362. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.18090459
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Frank Arroyo, https://orcid.org/0000-0003-3530-113X. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.17605/osf.io/f8rpk
title: UN General Assembly Procès-Verbal

description: Dataset of the UN General Assembly 78th and 79th Session Procès-Verbal
DOI: 10.5281/zenodo.18090460
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alvan Wentworth Chapman, http://www.wikidata.org/entity/Q448279. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q448279
DOI: 10.6084/m9.figshare.30968317
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2023)

description: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2023)
DOI: 10.6084/m9.figshare.30968317.v1
title: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2023)

description: Idaho Hunter Crowding Questionnaire: White-tailed Deer (2023)
DOI: 10.15468/dl.q92kzm
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vachellia mayana"
 ]
}

 The dataset includes 216 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068835-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3j9wq
title: Occurrence Download

description: A dataset containing 407826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geopelia striata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 407826 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068831-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18090454
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Shelley A. James, https://orcid.org/0000-0003-1105-1850. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.18090474
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Michael Joseph François Scheidweiler, http://www.wikidata.org/entity/Q2268288. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2268288
DOI: 10.5281/zenodo.8103306
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Michael Joseph François Scheidweiler, http://www.wikidata.org/entity/Q2268288. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2268288
DOI: 10.5281/zenodo.18090475
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Philip Powell Calvert, http://www.wikidata.org/entity/Q1271884. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1271884
DOI: 10.5281/zenodo.18090476
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Greta Stevenson, http://www.wikidata.org/entity/Q4442569. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4442569
DOI: 10.5281/zenodo.8034411
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Greta Stevenson, http://www.wikidata.org/entity/Q4442569. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4442569
DOI: 10.15468/dl.48nqh7
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vachellia sphaerocephala"
 ]
}

 The dataset includes 392 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068838-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18090482
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hansjörg Eichler, http://www.wikidata.org/entity/Q4530123. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4530123
DOI: 10.5281/zenodo.8291879
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hansjörg Eichler, http://www.wikidata.org/entity/Q4530123. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q4530123
DOI: 10.7910/dvn/rfxsjs
title: Replication Data for "Thematic Concentration and Mutual Fund Performance"

description: This repository contains the data and code required to replicate the tables and figures presented in the paper "Thematic Concentration and Mutual Fund Performance."
DOI: 10.5281/zenodo.18090483
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johann Gottlieb Otto Tepper, http://www.wikidata.org/entity/Q2891010. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2891010
DOI: 10.15468/dl.ssvpph
title: Occurrence Download

description: A dataset containing 3221 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ABC_Useful plants of Malawi; medicinal plants used in maternal and child health care"
 ]
}

 The dataset includes 3221 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068840-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/5ndzgp
title: Replication Data for: Early outcomes MP-TLT

description: Intraocular Pressure Changes and Pain Scores within 24 Hours and Short-term Outcomes after Micropulse Transscleral Laser Therapy