cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17496178
title: SOLTRACK: Dual-Axis Solar Tracking System Dataset

description: The SOLTRACK-25 dataset was collected from an experimental Dual-Axis Solar Tracking System (SLS) developed to optimize the orientation of a photovoltaic (PV) panel toward the sun in real time. The system was designed to evaluate and benchmark various solar tracking control strategies under diverse seasonal, environmental, and illumination conditions. Experiments were conducted throughout 2025 in New Cairo, Egypt (30° 2′ 57.017″ N, 31° 27′ 39.804″ E), a region characterized by high solar irradiance and moderate wind, ideal for analyzing real-world tracking performance.

The setup comprises four Light Dependent Resistor (LDR) sensors mounted around the panel aperture to detect directional irradiance, a Witmotion IMU sensor to measure actual platform orientation (tilt/elevation and azimuth), and two stepper motors—one for the daily (azimuth) axis and one for the seasonal (elevation/zenith) axis—driven via a dual-chain mechanism. An Arduino Mega microcontroller forms the system’s core, interfacing with sensors and motor drivers to ensure synchronized data acquisition and motion control.

The controller collects data with a 15-second sampling period, logging time (s), ambient temperature (°C), irradiance (W/m²), humidity (%), LDR1–LDR4 voltages (top, right, down, left), and tracked azimuth and zenith angles. Each day includes 3 264 records at 15-second intervals, stored in Excel (.xlsx) format, with each sheet representing one full day of continuous operation. Data were collected during four representative months—January, February, July, and August 2025—to capture distinct solar elevation geometries and seasonal environmental effects.

SOLTRACK-25 supports research in advanced solar-tracking controllers correlation between tracking accuracy and Maximum Power Point Tracking (MPPT), and the analysis of environmental disturbances such as shading, wind, and humidity. It is also suitable for applying artificial-intelligence and machine-learning models in predictive tracking, irradiance forecasting, and adaptive control optimization.
DOI: 10.5281/zenodo.17496177
title: SOLTRACK: Dual-Axis Solar Tracking System Dataset

description: The SOLTRACK-25 dataset was collected from an experimental Dual-Axis Solar Tracking System (SLS) developed to optimize the orientation of a photovoltaic (PV) panel toward the sun in real time. The system was designed to evaluate and benchmark various solar tracking control strategies under diverse seasonal, environmental, and illumination conditions. Experiments were conducted throughout 2025 in New Cairo, Egypt (30° 2′ 57.017″ N, 31° 27′ 39.804″ E), a region characterized by high solar irradiance and moderate wind, ideal for analyzing real-world tracking performance.

The setup comprises four Light Dependent Resistor (LDR) sensors mounted around the panel aperture to detect directional irradiance, a Witmotion IMU sensor to measure actual platform orientation (tilt/elevation and azimuth), and two stepper motors—one for the daily (azimuth) axis and one for the seasonal (elevation/zenith) axis—driven via a dual-chain mechanism. An Arduino Mega microcontroller forms the system’s core, interfacing with sensors and motor drivers to ensure synchronized data acquisition and motion control.

The controller collects data with a 15-second sampling period, logging time (s), ambient temperature (°C), irradiance (W/m²), humidity (%), LDR1–LDR4 voltages (top, right, down, left), and tracked azimuth and zenith angles. Each day includes 3 264 records at 15-second intervals, stored in Excel (.xlsx) format, with each sheet representing one full day of continuous operation. Data were collected during four representative months—January, February, July, and August 2025—to capture distinct solar elevation geometries and seasonal environmental effects.

SOLTRACK-25 supports research in advanced solar-tracking controllers correlation between tracking accuracy and Maximum Power Point Tracking (MPPT), and the analysis of environmental disturbances such as shading, wind, and humidity. It is also suitable for applying artificial-intelligence and machine-learning models in predictive tracking, irradiance forecasting, and adaptive control optimization.
DOI: 10.15468/dl.kktm8h
title: Occurrence Download

description: A dataset containing 983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cochlospermum vitifolium"
 ]
}

 The dataset includes 983 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010082-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6j6zc
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.46_1, USA.30_1, USA.22_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bembix"
 ]
}

 The dataset includes 307 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010083-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/pzy1-f951
title: Caldeirao diatom dataset

description: Raw data for the Caldeirao diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/x5tr-e719
title: St. Mary Reservoir vertebrate fauna dataset

description: Raw data for the St. Mary Reservoir vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/87ja-3345
title:  Chivacabé vertebrate fauna dataset

description: Raw data for the  Chivacabé vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/p36m-xg54
title: Santa Amelia/Río la Pasión vertebrate fauna dataset

description: Raw data for the Santa Amelia/Río la Pasión vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/78pp-h450
title: Col de Vars pollen dataset

description: Raw data for the Col de Vars pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n1br-3892
title: Col de Vars pollen dataset

description: Raw data for the Col de Vars pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hcv6-yd73
title: La Estanzuela vertebrate fauna dataset

description: Raw data for the La Estanzuela vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.5s8sbg
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cochlospermum wrightii"
 ]
}

 The dataset includes 103 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010085-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/cew4-ff73
title: Ciudad Real vertebrate fauna dataset

description: Raw data for the Ciudad Real vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/r989-p725
title: Finca San Ramón vertebrate fauna dataset

description: Raw data for the Finca San Ramón vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/tjgs-q550
title: Lac du Lauzanier chironomid dataset

description: Raw data for the Lac du Lauzanier chironomid dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/wdt1-cg74
title: Lac du Lauzanier charcoal dataset

description: Raw data for the Lac du Lauzanier charcoal dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/p1h6-1g14
title: Lac du Lauzanier pollen dataset

description: Raw data for the Lac du Lauzanier pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/xx13-m017
title: Alston Moor pollen dataset

description: Raw data for the Alston Moor pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.17496190
title: The Timeline Theory: A Perspective on Parallel Universes

description: This paper presents a new speculative theory suggesting that every human decision leads to the creation of a new universe. According to this theory, each choice an individual makes branches into a separate universe, creating an infinite multiverse based on the countless decisions made by conscious beings. Unlike traditional parallel universe theories, this concept focuses on the causal role of human consciousness and choice in universe formation.
DOI: 10.5281/zenodo.17496191
title: The Timeline Theory: A Perspective on Parallel Universes

description: This paper presents a new speculative theory suggesting that every human decision leads to the creation of a new universe. According to this theory, each choice an individual makes branches into a separate universe, creating an infinite multiverse based on the countless decisions made by conscious beings. Unlike traditional parallel universe theories, this concept focuses on the causal role of human consciousness and choice in universe formation.
DOI: 10.6084/m9.figshare.30456812
title: A giant leap for urban lizards? Perch compliance differentially affects jumping performance of natural and urban <i>Anolis</i> lizards

description: Relative jump distance (body lengths), takeoff velocity (body lengths per second), takeoff angle (degrees), propulsion duration (seconds), tail strike occurrence (yes or no), forelimb length (millimeters), and hindlimb length (millimeters) for urban and natural populations of <i>Anolis carolinensis</i> and an urban population of <i>Anolis sagrei</i> on perches of variable compliance (measure of flexibility in meters per Newton). Data are accompanied by R code used for data analysis.
DOI: 10.6084/m9.figshare.30456812.v1
title: A giant leap for urban lizards? Perch compliance differentially affects jumping performance of natural and urban <i>Anolis</i> lizards

description: Relative jump distance (body lengths), takeoff velocity (body lengths per second), takeoff angle (degrees), propulsion duration (seconds), tail strike occurrence (yes or no), forelimb length (millimeters), and hindlimb length (millimeters) for urban and natural populations of <i>Anolis carolinensis</i> and an urban population of <i>Anolis sagrei</i> on perches of variable compliance (measure of flexibility in meters per Newton). Data are accompanied by R code used for data analysis.
DOI: 10.3886/e155161v90
title: Advance Layoff Notice Data from the WARN Act

description: We collect novel and timely data from advance layoff notices filed under the Worker Adjustment and Retraining Notification (WARN) Act. The act requires larger employers to notify affected workers at least 60 days before a potential mass layoff. We assemble WARN data from across the United States, and for many large states our data begin in the 1990s. We aggregate these data into an unbalanced, monthly panel of the state-level number of workers affected by WARN notices, and we update this panel twice a month. We also aggregate this panel to a national-level indicator of job loss (the "WARN factor") using a dynamic factor model.<br>

<b><br>Data Collection</b><br>We update the data twice a month by collecting WARN
notices from state websites. For many states, we have extended our historical
data by using digital archives of the internet and contacting state
officials.<br> <br><b>Citation</b><br>To learn more about
the data and the dynamic factor model, see:<br>Krolikowski, Pawel M. and Kurt G. Lunsford. 2022. “Advance Layoff Notices and Aggregate Job Loss.” Federal Reserve Bank of Cleveland, Working Paper no. 20-03R. https://doi.org/10.26509/frbc-wp-202003R.<br>Krolikowski, Pawel M., and Kurt G. Lunsford. 2024 “Advance Layoff Notices and Aggregate Job Loss.” Journal of Applied Econometrics. https://doi.org/10.1002/jae.3032.<b><br><br></b><b>File Description</b><br>The file labelled WARNFiles_YYYYMMDD.zip in the
main directory contains our most recent data. All data included in this zip
file were collected as of the date listed in the file name. Previous
vintages of our data appear in the `Archived_Vintages’ folder, with the same
naming convention.<br>
<br>The zip files contain three files:<br>
<br>


1. 
README.txt

<br>2. 
WARNData_NSA_YYYYMMDD.csv


 
 This .csv contains the number of workers affected by
 WARN notices by state and month. These data are not seasonally adjusted.
 These data are the input into the dynamic factor model.
 


3. 
WARNFactors_YYYYMMDD.csv


 
 This .csv contains the output of the dynamic factor
 model. The output is labeled as follows:
 
 WARN Factor: the estimates of the factor from the
 dynamic factor model.
 MSE: the estimated mean squared errors
 of the WARN factor.
 WARN_hat: the number of workers affected by
 WARN notices as implied by the WARN factor.
 WARN_sum: the sum of the number of
 workers affected by WARN notices from several states that form a
 balanced panel beginning in January 2006. These states can change every
 update.<b>Disclaimer</b><br>These data are
updated by the authors and are not an official product of the Federal Reserve Bank of Cleveland.<br>
description: Smallest Geographic Unit: State
DOI: 10.6084/m9.figshare.26147350
title: <i>Fibroblast activation protein (FAP)-mediated promotion of metastasis via the FN1-TGFβ axis and immune suppression in aggressive thyroid cancer</i>

description: Repository raw dataset of <i>Fibroblast activation protein (FAP)-mediated promotion of metastasis via the FN1-TGFβ axis and immune suppression in aggressive thyroid cancer</i>. This paper describes for the first time a link and clinical relevance of FAP expression in thyroid cancer cells, cancer-associated fibroblasts (CAFs) and a fibronectin1/transforming growth factor-β-driven immune escape of thyroid cancer. These data suggest FAP as a valid prognostic marker and a promising therapeutic target for anaplastic thyroid carcinoma.
DOI: 10.6084/m9.figshare.26147350.v1
title: <i>Fibroblast activation protein (FAP)-mediated promotion of metastasis via the FN1-TGFβ axis and immune suppression in aggressive thyroid cancer</i>

description: Repository raw dataset of <i>Fibroblast activation protein (FAP)-mediated promotion of metastasis via the FN1-TGFβ axis and immune suppression in aggressive thyroid cancer</i>. This paper describes for the first time a link and clinical relevance of FAP expression in thyroid cancer cells, cancer-associated fibroblasts (CAFs) and a fibronectin1/transforming growth factor-β-driven immune escape of thyroid cancer. These data suggest FAP as a valid prognostic marker and a promising therapeutic target for anaplastic thyroid carcinoma.
DOI: 10.48544/93a9d768-f8b6-45d1-9f66-e4928705252b
title: Fire Resistant Glass
DOI: 10.15468/dl.e4bn5x
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrathyria longifasciata"
 ]
}

 The dataset includes 366 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010086-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17496214
title: Exploring the impact of Ti/Al on L1₂ nanoprecipitation and deformation behavior in CoNiFeAlTi multi-principal element alloys through atomistic simulations

description: ## Dataset Contents


This dataset contains atomistic simulation output files corresponding to the figures presented in the above publication.  

All simulations were performed using hybrid Molecular Dynamics / Monte Carlo (MD/MC) and Molecular Dynamics tensile tests with LAMMPS.


Each file corresponds to data used for figures illustrating nanoprecipitation, potential energy evolution, stacking fault energy (SFE) analysis, and tensile behavior for different CoNiFeAlTi alloy compositions.


| File name | Description |

|------------|-------------|

| **A_fig1b.dat**, **A_fig1c.dat**, **A_fig1d.dat**, **A_fig1e.dat** | Data used to generate **Figure 1** (hybrid MD/MC results): time evolution of L1₂ atomic fraction and system potential energy at different temperatures for four alloy compositions — (CoNiFe)₈₄(Al₈Ti₈), (CoNiFe)₈₆(Al₇Ti₇), (CoNiFe)₈₈(Al₆Ti₆), and (CoNiFe)₉₄(Al₄Ti₂). |

| **A_fig2d_O.dat.csv**, **A_fig2d_R.dat.csv**, **A_fig2e_O.dat.csv**, **A_fig2e_R.dat.csv** | Stress–strain curves and dislocation evolution during uniaxial tensile tests (ordered vs. random configurations) used in **Figure 2**. “O” indicates ordered systems (after hybrid MD/MC with L1₂ nanoprecipitates) and “R” indicates random solid solutions. |

| **A_fig3a_O.dat.csv**, **A_fig3a_R.dat.csv** | Data for **Figure 3**: dislocation length evolution (Shockley and stair-rod components) during tension for ordered and random Al₇Ti₇ alloys. |

| **A_fig5c_O.dat.csv**, **A_fig5c_R.dat.csv** | **Figure 5** stacking fault energy (SFE) calculations. Contain generalized stacking fault energy curves and extracted mean SFE values for ordered and random structures. |


---


## Notes


- **O** = Ordered structures containing L1₂ nanoprecipitates (after 14 million MD/MC swap attempts).  

- **R** = Random solid-solution structures before ordering.  

- **Units:**

  - Stress — GPa  

  - Strain — dimensionless  

  - Energy — eV or mJ·m⁻² (depending on file)  

  - Time — MD step or swap attempt count  

- Data can be visualized using Python/Matplotlib, Origin, or Gnuplot.


---


## License


This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license via Zenodo.  

You are free to share and adapt the material for any purpose, provided that appropriate credit is given to the authors and source.  

See the full license at: [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)


---


## Funding Acknowledgment


SB thanks support from SONATA BIS, grant number DEC-2023/50/E/ST3/00569 from the National Science Centre,  

and FIRST TEAM FENG.02.02-IP.05-0177/23 from the Foundation for Polish Science (FNP).