cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4dcyk5rgmy.1
title: Supplementary material for: Ecologically Inspired Metrics for Transitioning to a Sustainable and Resilient Circular Economy with Application to Multilayer Plastic Films

description: Description

This repository contains supplementary files for the journal manuscript titled *Ecologically Inspired Metrics for Transitioning to a Sustainable and Resilient Circular Economy with Application to Multilayer Plastic Films*. The supplementary files include an Excel file and a Jupyter Notebook that support the findings and methodologies discussed in the manuscript.

Contents

1. Results.xlsx: This Excel file contains the results for the indicators for the multilayer plastic film example discussed in the paper. It also includes the calculations for greenhouse gas (GHG) emissions.

2. Source code.ipynb: This Jupyter Notebook contains the network analysis and detailed calculations of Eco-inspired indicators related to the multilayer film. The notebook uses various CSV files for input data, which are located in the `data` folder.

3. data: This folder contains all the CSV files (network flow data) used by the Jupyter Notebook for the calculations and analysis for multilayer films.
4. Eco-inspired-tool.ipynb: This Jupyter Notebook is designed to calculate Eco-inspired metrics for a network provided by the user. The instructions for using this notebook are included within the file.

Instructions

1. Results.xlsx: Open this file with any spreadsheet software (e.g., Microsoft Excel, Google Sheets) to view the results and GHG emissions calculations.

2. Jupyter Notebook:
 - Ensure you have Python and Jupyter Notebook installed. You can install Jupyter Notebook using Anaconda or pip.
 - Navigate to the directory containing the `Source code.ipynb` file.
 - Launch Jupyter Notebook by running the following command in your terminal or command prompt:
 ```bash
 jupyter notebook
 ```
 - Open the `Source code.ipynb` file in Jupyter Notebook.
 - Execute the cells to reproduce the network analysis. The notebook reads the required data from the CSV files in the `data` folder.

Dependencies

The Jupyter Notebook requires the following Python packages:
- numpy
- pandas
- math (standard library)
- scipy.special

You can install these packages using pip:
```bash
pip install numpy pandas scipy
```
Contact
For any questions or further information, please contact fnazemi@asu.edu.
DOI: 10.17632/nd4jvhtnms.1
title: Warming temperature and male Guppy courtship behavior: less sexy and paler

description: Data refering to the work "Warming temperature and male Guppy courtship behavior: less sexy and paler". 
Data contains information about color intensity, size, weight, spots, gonodossomatic and behavior tests of the fish used in the present work.
DOI: 10.15468/dl.2qw4pt
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Caenolestes convelatus Anthony, 1924"
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004053-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbh7mw
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sieversia pentapetala (L.) Greene"
 ]
}

 The dataset includes 675 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004055-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tnckb
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinosaura palmeri Boulenger, 1911"
 ]
}

 The dataset includes 130 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004054-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znkxpj
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pabstiella versicolor (Porsch) Luer"
 ]
}

 The dataset includes 52 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004056-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/46p72t2rb2.1
title: Comparing Mean or Median Gauge Performance as Calibration Objective for Hydrologic Models

description: This dataset was used to test the difference between spatially aggregating optimization error using the mean performance and the median performance across all gauges in the calibration of hydrologic model. Two comparative and parallel model optimization tests are included: one that optimizes mean error from all gauges, and a second that optimizes median error. The watershed model used for this research is a CHARM model of the Athabasca River basin, which is included in the dataset. Model calibrations were performed using the OSTRICH program (version 17.12.19), values for 27 parameters covering all simulated hydrological storages were calibrated using the DDS algorithm. One set of calibrations was run with the objective to maximize the mean Kling-Gupta Efficiency (KGE) for 22 gauges, and a second set was run with the objective to maximize the median KGE for the same 22 gauges. Five random seeds and initial solutions were generated and used as starting points for both sets of calibrations. In total, 10 calibrations (5 paired calibration trials) were run with 5000 iterations per calibration. Mean-calibrated models perform significantly better than median-calibrated models.

This dataset includes:
1) The complete hydrologic model used in the calibration experiment, including the calibration software and statistics calculation script
2) The calibration trial input and output files (ostIn, OstOutput) with the summary data files combining results for plotting
DOI: 10.17632/dvvm9cns2x.1
title: Geospatial dataset from Kitchener's Map of Cyprus

description: The dataset consists of six geospatial layers. The coastal shape, the road network, the hydrographic network, the administration boundaries and the land cover/use derived by manual digitization from Kitchener’s trigonometrical map of Cyprus, published in 1885. Additionally, the dataset includes the layer of the populated places described in the Census of 1881, accompanied by its population attributes. The dataset covers the entire area of the island of Cyprus.
DOI: 10.17632/bkwdwx333x.1
title: Mandala_palliative

description: This study, which investigated the effect of mandala painting on reducing anxiety and caregiver burden in caregivers of palliative care patients, was conducted as a randomized controlled study. They were divided into two groups: experimental and control groups by randomization. Numbers obtained from the random.org page were used to ensure randomization. The randomization table is also shared here.
DOI: 10.17632/bkwdwx333x.2
title: Mandala_palliative

description: This study, which investigated the effect of mandala painting on reducing anxiety and caregiver burden in caregivers of palliative care patients, was conducted as a randomized controlled study. They were divided into two groups: experimental and control groups by randomization. Numbers obtained from the random.org page were used to ensure randomization. The randomization table is also shared here. The information form is also presented here.
DOI: 10.6084/m9.figshare.26129038
title: MPOX transcriptome dataset

description: Monkeypox virus transcriptome analysis carried out by long-read sequencing
DOI: 10.15468/dl.m44ub7
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is PRY.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 235 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004057-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/28r5f3vmrp.1
title: Bangladeshi Venomous Snakes Image Dataset

description: The dataset of venomous Bangladeshi snakes, comprising images of Russell's Viper, King Cobra, and Common Krait, offers a valuable resource for developing an image processing-based deep learning algorithm. This algorithm can aid in the rapid identification of these snakes, enhancing both ecological preservation and public safety. The comprehensive methods and protocols described ensure that the data collection and processing are rigorous, enabling others to reproduce and build upon this research effectively.
DOI: 10.15468/dl.mw39v3
title: Occurrence Download

description: A dataset containing 16208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Distichlis spicata (L.) Greene"
 ]
}

 The dataset includes 16208 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004058-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/by7z5g
title: PELD-ELPA | Ecology of the pink-shrimp Penaeus paulensis in Patos Lagoon estuary

description: Juveniles of pink-shrimp Penaeus paulensis are monthly sampled since 1996 at six stations in the Patos Lagoon estuary and two sites in the marine area surrounding the estuarine mouth. The catch per unit effort (CPUE) is estimated in weight and numbers. This data series provides unique long-term information enabling the evaluation of natural and anthropic impacts in the estuarine and coastal region in southern Brazil, especially for an intensively exploited fishery resource, such as the pink-shrimp.
DOI: 10.6084/m9.figshare.27111478.v5
title: <b>500 Years of the Once Largest Fishery in the World:</b>A Comprehensive Catch Reconstruction for the Newfoundland Cod Fishery (1508-2023)

description: In 2024, the Canadian government lifted the moratorium on fishing on what was once the world’s largest single-species fishery. Over the last thirty years, fisheries scientists and historians have debated the role of long-term exploitation in the fisheries' collapse, but a lack of accurate historical catch data has hampered these discussions. This study introduces a groundbreaking new reconstruction of historical cod catches in Newfoundland from 1508 to 2021. This dataset is the longest, most comprehensive, and accurate reconstruction created to date and serves as a crucial tool for unravelling the complex dynamics of the fishery's rise and fall. The data illuminate the historical trajectories of diverse fishing fleets and maps the evolving spatial dimensions of the fishery. The paper warns that the staggering decline gives cause for concern about recent optimism of the return of abundance.
DOI: 10.15468/dl.v2btcy
title: Occurrence Download

description: A dataset containing 147064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus monedula Linnaeus, 1758"
 ]
}

 The dataset includes 147064 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038044-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4w5p4
title: Occurrence Download

description: A dataset containing 845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lionycteris spurrelli Thomas, 1913"
 ]
}

 The dataset includes 845 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038123-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mncafk
title: Occurrence Download

description: A dataset listing the 6570 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.30_1",
 "Year 2013-2023"
 ]
}

 The dataset's 6570 records were derived from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038078-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/174
title: Headlines data for social media popularity prediction

description: This dataset is part of a larger project on using headlines to predict the social media popularity of news articles. The dataset consists of two headlines corpora -- The Guardian and New York Times -- collected in 2014 using news outlet APIs. Each corpus includes a unique headline identifier (to enable recreating the corpus by querying the relevant API), the extracted features (news values, style, metadata), and the corresponding popularity on Twitter and Facebook.
DOI: 10.15468/dl.y388fr
title: Occurrence Download

description: A dataset containing 163356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.30_1",
 "Year 2013-2023"
 ]
}

 The dataset includes 163356 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038076-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc20rcz4
title: CCDC 1869516: Experimental Crystal Structure Determination

description: Related Article: Marius Peters, Dirk Bockfeld, Matthias Tamm|2022|Eur.J.Inorg.Chem.|2022|e202200148|doi:10.1002/ejic.202200148
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20rd17
title: CCDC 1869518: Experimental Crystal Structure Determination

description: Related Article: Marius Peters, Dirk Bockfeld, Matthias Tamm|2022|Eur.J.Inorg.Chem.|2022|e202200148|doi:10.1002/ejic.202200148
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20wzmj
title: CCDC 1873938: Experimental Crystal Structure Determination

description: Related Article: Hae Un Kim, Ho Jin Jang, Wanuk Choi, Minjun Kim, Sungjin Park, Taiho Park, Jun Yeob Lee, Bejoymohandas K. S.|2019|J.Mater.Chem.C|7|4143|doi:10.1039/C9TC00805E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20y1lm
title: CCDC 1874960: Experimental Crystal Structure Determination

description: Related Article: Pavel Zatsepin, Seihwan Ahn, Bimal Pudasaini, Michael R. Gau, Mu-Hyun Baik, Daniel J. Mindiola|2019|Chem.Commun.|55|1927|doi:10.1039/C8CC08761J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20ypb0
title: CCDC 1875572: Experimental Crystal Structure Determination

description: Related Article: Soichiro Kawamorita, Anna Cho, Lingtao Kong, Takeshi Naota|2019|Data in Brief|25|104300|doi:10.1016/j.dib.2019.104300
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20ypc1
title: CCDC 1875573: Experimental Crystal Structure Determination

description: Related Article: Soichiro Kawamorita, Anna Cho, Lingtao Kong, Takeshi Naota|2019|Data in Brief|25|104300|doi:10.1016/j.dib.2019.104300
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc210g4p
title: CCDC 1877271: Experimental Crystal Structure Determination

description: Related Article: Fuli Zhang, Pengchao Zhou, Shulin Zhang, Yuanyang Li, Quanfeng Zhang, Wenlong Guo, Jing Huang, Wenyu Wang, Zhen Dong, Bin Wei, Donghui Wei, Guangxiu Cao, Bin Zhai|2021|J.Lumin.|233|117880|doi:10.1016/j.jlumin.2020.117880
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc210g5q
title: CCDC 1877272: Experimental Crystal Structure Determination

description: Related Article: Fuli Zhang, Pengchao Zhou, Shulin Zhang, Yuanyang Li, Quanfeng Zhang, Wenlong Guo, Jing Huang, Wenyu Wang, Zhen Dong, Bin Wei, Donghui Wei, Guangxiu Cao, Bin Zhai|2021|J.Lumin.|233|117880|doi:10.1016/j.jlumin.2020.117880
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc213nf8
title: CCDC 1880349: Experimental Crystal Structure Determination

description: Related Article: Tristan Tsai Yuan Tan, Sabrina Schick, F. Ekkehardt Hahn|2019|Organometallics|38|567|doi:10.1021/acs.organomet.8b00856
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc213nhb
title: CCDC 1880351: Experimental Crystal Structure Determination

description: Related Article: Tristan Tsai Yuan Tan, Sabrina Schick, F. Ekkehardt Hahn|2019|Organometallics|38|567|doi:10.1021/acs.organomet.8b00856
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc214ytz
title: CCDC 1881601: Experimental Crystal Structure Determination

description: Related Article: Ben. J. Tickner, Wissam Iali, Soumya S. Roy, Adrian C. Whitwood, and Simon B. Duckett|2018|ChemPhysChem|20|241|doi:10.1002/cphc.201800829
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21586q
title: CCDC 1881892: Experimental Crystal Structure Determination

description: Related Article: Ulrich Flörke, Regina Meinhardt, Matthias Bauer|2018|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2180mz
title: CCDC 1884540: Experimental Crystal Structure Determination

description: Related Article: Yota Suzuki, Ibuki Mizuno, Yui Tabei, Yuri Fujioka, Kazuteru Shinozaki, Tomoaki Sugaya, Koji Ishihara|2019|Inorg.Chem.|58|9663|doi:10.1021/acs.inorgchem.9b00373
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2180n0
title: CCDC 1884541: Experimental Crystal Structure Determination

description: Related Article: Yota Suzuki, Ibuki Mizuno, Yui Tabei, Yuri Fujioka, Kazuteru Shinozaki, Tomoaki Sugaya, Koji Ishihara|2019|Inorg.Chem.|58|9663|doi:10.1021/acs.inorgchem.9b00373
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc218kmj
title: CCDC 1885067: Experimental Crystal Structure Determination

description: Related Article: Jingqi Han, Kin-Man Tang, Shun-Cheung Cheng, Chi-On Ng, Yuen-Kiu Chun, Shing-Lun Chan, Shek-Man Yiu, Man-Kit Tse, Vellaisamy A. L. Roy, Chi-Chiu Ko|2020|Inorg.Chem.Front.|7|786|doi:10.1039/C9QI01278H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.