cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14905318
title: A Social Marketing Behaviour Change Intervention: T0 survey questions from the WaysTUP! project

description: This survey was launched in October 2021 on Qualtrics. It consitutes the pre-test assessment of the Social Marketing Behaviour Change Intervention (V1.0) carried out in the WP4 of the WaysTUP! project.The research took place in the framework of the WaysTUP! project, funded by the European Union Horizon 2020 research and innovation programme under grant agreement no. 818308.
DOI: 10.5281/zenodo.14905319
title: A Social Marketing Behaviour Change Intervention: T0 survey questions from the WaysTUP! project

description: This survey was launched in October 2021 on Qualtrics. It consitutes the pre-test assessment of the Social Marketing Behaviour Change Intervention (V1.0) carried out in the WP4 of the WaysTUP! project.The research took place in the framework of the WaysTUP! project, funded by the European Union Horizon 2020 research and innovation programme under grant agreement no. 818308.
DOI: 10.15468/dl.3p5fmh
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Narcissus cantabricus DC.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 176 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002907-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14038449
title: Perpendicular-Parallel Asymmetry of Venus Bow Shock Under Different Parker Spiral Angles
DOI: 10.5281/zenodo.14038450
title: Perpendicular-Parallel Asymmetry of Venus Bow Shock Under Different Parker Spiral Angles
DOI: 10.6084/m9.figshare.28469264.v1
title: Fig. 6

description: Electrochemical measurement of E. coli with nitrate for Michaelis-Menten fitting
DOI: 10.6084/m9.figshare.27201819
title: Cardiovascular risk of hormone replacement therapy in menopausal women with diabetes: a systematic review and meta-analysis of clinical trials and observational studies

description: Studies have shown the relative cardiovascular safety of hormone replacement therapy (HRT) for women in the general population. Evidence on women with diabetes remains scarce. We aimed to investigate the risk of cardiovascular disease (CVD) in menopausal women with diabetes who use HRT compared to non-users. Search across Medline, Embase, Web of Sciences, and Cochrane databases up to November 2023 was conducted. We combined keywords of menopause, diabetes, HRT, and various CVD outcomes. Non-English studies, observational studies other than cohort and case–control, reviews, and conference abstracts were excluded. Bias was checked using validated risk-of-bias tools. Random-effects model was used to calculate pooled relative risks (RR) for similar outcomes. Out of 7625 identified articles, 19 (6 clinical trials and 13 observational studies) were included, primarily from Europe and the U.S.A. Most studies had moderate risk of bias. Meta-analysis of myocardial infarction (MI) risk from nine observational studies (<i>n</i> =  ~34,626) showed a pooled RR of 0.83 (95% CI 0.62–1.12). Limited data precluded meta-analysis for the clinical trials and other outcomes from observational studies. Observational studies do not suggest an increased risk of MI in menopausal women with diabetes prescribed HRT. Further research with a more robust method is warranted to validate this finding. CRD42023479335
DOI: 10.6084/m9.figshare.27201819.v1
title: Cardiovascular risk of hormone replacement therapy in menopausal women with diabetes: a systematic review and meta-analysis of clinical trials and observational studies

description: Studies have shown the relative cardiovascular safety of hormone replacement therapy (HRT) for women in the general population. Evidence on women with diabetes remains scarce. We aimed to investigate the risk of cardiovascular disease (CVD) in menopausal women with diabetes who use HRT compared to non-users. Search across Medline, Embase, Web of Sciences, and Cochrane databases up to November 2023 was conducted. We combined keywords of menopause, diabetes, HRT, and various CVD outcomes. Non-English studies, observational studies other than cohort and case–control, reviews, and conference abstracts were excluded. Bias was checked using validated risk-of-bias tools. Random-effects model was used to calculate pooled relative risks (RR) for similar outcomes. Out of 7625 identified articles, 19 (6 clinical trials and 13 observational studies) were included, primarily from Europe and the U.S.A. Most studies had moderate risk of bias. Meta-analysis of myocardial infarction (MI) risk from nine observational studies (<i>n</i> =  ~34,626) showed a pooled RR of 0.83 (95% CI 0.62–1.12). Limited data precluded meta-analysis for the clinical trials and other outcomes from observational studies. Observational studies do not suggest an increased risk of MI in menopausal women with diabetes prescribed HRT. Further research with a more robust method is warranted to validate this finding. CRD42023479335
DOI: 10.15468/dl.t3rh87
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) trees from old-growth Italian plantations (IBBR-DOUGLAS-FIR)"
 ]
}

 The dataset includes 718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002909-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yd822p
title: Occurrence Download

description: A dataset containing 13594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus marginatus (Lowe, 1834)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 13594 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002908-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14916987
title: House Plant Species Dataset

description: Description:







This comprehensive dataset contains a total of 14,790 images, each carefully categorized into one of 47 plant species. Originally curated for a project focused on determining whether various plant species are toxic or safe for cats, the dataset serves as a valuable resource for plant classification models. While the images were sourced from Bing, the data has been manually curated by non-experts, ensuring a balanced and diverse range of species, although the dataset’s accuracy may benefit from further refinement by botanical experts.







Download Dataset









Key Features:



Total Images: 14,790

Species Categories: 47 distinct plant types

Image Source: Bing Images

Curation: Non-expert manual cleaning


Dataset Breakdown:



Class sizes vary; popular species include Monstera Deliciosa (547 images), Dumb Cane (541 images), and Chinese Evergreen (514 images).

Species with fewer representations include Yucca (66 images), Kalanchoe (130 images), and Asparagus Fern (169 images).


Image Characteristics:



Quality & Resolution: Images in the dataset exhibit a range of resolutions, with some variance in quality due to the nature of the collection process. Despite these inconsistencies, the variety offers opportunities for models to learn from different image qualities.

Types of Images: The dataset includes both whole-plant images and detailed close-ups of plant parts, providing multi-dimensional perspectives of each species.

Environmental Diversity: Plants are photographed in various settings, both indoors and outdoors, to account for different visual contexts.

Organized Structure: Each species is neatly organized into its respective folder, allowing for easy access and classification.


This dataset is sourced from Kaggle.
DOI: 10.15468/dl.qfx4pb
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Dragonfly records from the British Dragonfly Society Recording Scheme",
 "Geometry POLYGON((0.1 51.5,0.2 51.5,0.2 51.6,0.1 51.6,0.1 51.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 416 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002911-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14916988
title: House Plant Species Dataset

description: Description:







This comprehensive dataset contains a total of 14,790 images, each carefully categorized into one of 47 plant species. Originally curated for a project focused on determining whether various plant species are toxic or safe for cats, the dataset serves as a valuable resource for plant classification models. While the images were sourced from Bing, the data has been manually curated by non-experts, ensuring a balanced and diverse range of species, although the dataset’s accuracy may benefit from further refinement by botanical experts.







Download Dataset









Key Features:



Total Images: 14,790

Species Categories: 47 distinct plant types

Image Source: Bing Images

Curation: Non-expert manual cleaning


Dataset Breakdown:



Class sizes vary; popular species include Monstera Deliciosa (547 images), Dumb Cane (541 images), and Chinese Evergreen (514 images).

Species with fewer representations include Yucca (66 images), Kalanchoe (130 images), and Asparagus Fern (169 images).


Image Characteristics:



Quality & Resolution: Images in the dataset exhibit a range of resolutions, with some variance in quality due to the nature of the collection process. Despite these inconsistencies, the variety offers opportunities for models to learn from different image qualities.

Types of Images: The dataset includes both whole-plant images and detailed close-ups of plant parts, providing multi-dimensional perspectives of each species.

Environmental Diversity: Plants are photographed in various settings, both indoors and outdoors, to account for different visual contexts.

Organized Structure: Each species is neatly organized into its respective folder, allowing for easy access and classification.


This dataset is sourced from Kaggle.
DOI: 10.15468/dl.sxcscb
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Narcissus confusus Pugsley",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002910-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11583/dtu.28436777.v1
title: The rebound mechanisms identification tool

description: <b>About the tool</b><br>Building upon efforts into ‘cracking the rebound effects (RE) code’ that conceptually associated the dynamics between circular economy business model (CEBM) patterns and rebound mechanisms, this tool aims to assist designers in systematically identifying potential rebound mechanisms emerging from CEBM. <br><b>How do we help you identify rebound effects?</b><br>The rebound mechanisms identification tool guides you in a set of steps:<br>1. Analyse your business model:<br>a. Identify the CEBM patterns that are relevant to your case.<br>b. Determine the actors relevant to your case.2. Determine the consumption factors potentially stimulated in your case<br>3. Review the scenarios for consumption factors stimulation and the potential rebound mechanisms activated4. Access recommendations for your case<b>What is this tool based on?</b><br>The database sustaining the rebound mechanisms identification tool builds upon the systematic investigation of the intricate relationships between 26 archetypical structures that explain rebound mechanisms – i.e., the underlying economic and behavioural causal chains that lead to RE (Guzzo et al., 2024) and 24 CEBM patterns – i.e., BM configuration options that embody the full spectrum of circular strategies that may be employed by a given company (Pieroni et al., 2021), representing the state-of-art knowledge in both fields. The database work sustaining the database is under review as a journal contribution (Guzzo and Pigosso, 2024a) and the application of the tool as a conference contribution (Guzzo and Pigosso, 2024b).<br>Guzzo, D., Walrave, B., Videira, N., Oliveira, I. C., & Pigosso, D. C. A. (2024). Towards a systemic view on rebound effects: Modelling the feedback loops of rebound mechanisms. Ecological Economics, 217, 108050. https://doi.org/10.1016/j.ecolecon.2023.108050Guzzo, D., & Pigosso, D. C. A. (2024a). Cracking the code of rebound effects induced by circular economy. Manuscript submitted for publication.Guzzo, D., & Pigosso, D. C. A. (2024b). The rebound mechanism identification tool: finding rebound effects in circular economy business models. Manuscript submitted for publication (Conference).Pieroni, M. P. P., McAloone, T. C., & Pigosso, D. C. A. (2021). Circular economy business model innovation: Sectorial patterns within manufacturing companies. Journal of Cleaner Production, 286, 124921. https://doi.org/10.1016/j.jclepro.2020.124921
DOI: 10.11583/dtu.28436777
title: The rebound mechanisms identification tool

description: <b>About the tool</b><br>Building upon efforts into ‘cracking the rebound effects (RE) code’ that conceptually associated the dynamics between circular economy business model (CEBM) patterns and rebound mechanisms, this tool aims to assist designers in systematically identifying potential rebound mechanisms emerging from CEBM. <br><b>How do we help you identify rebound effects?</b><br>The rebound mechanisms identification tool guides you in a set of steps:<br>1. Analyse your business model:<br>a. Identify the CEBM patterns that are relevant to your case.<br>b. Determine the actors relevant to your case.2. Determine the consumption factors potentially stimulated in your case<br>3. Review the scenarios for consumption factors stimulation and the potential rebound mechanisms activated4. Access recommendations for your case<b>What is this tool based on?</b><br>The database sustaining the rebound mechanisms identification tool builds upon the systematic investigation of the intricate relationships between 26 archetypical structures that explain rebound mechanisms – i.e., the underlying economic and behavioural causal chains that lead to RE (Guzzo et al., 2024) and 24 CEBM patterns – i.e., BM configuration options that embody the full spectrum of circular strategies that may be employed by a given company (Pieroni et al., 2021), representing the state-of-art knowledge in both fields. The database work sustaining the database is under review as a journal contribution (Guzzo and Pigosso, 2024a) and the application of the tool as a conference contribution (Guzzo and Pigosso, 2024b).<br>Guzzo, D., Walrave, B., Videira, N., Oliveira, I. C., & Pigosso, D. C. A. (2024). Towards a systemic view on rebound effects: Modelling the feedback loops of rebound mechanisms. Ecological Economics, 217, 108050. https://doi.org/10.1016/j.ecolecon.2023.108050Guzzo, D., & Pigosso, D. C. A. (2024a). Cracking the code of rebound effects induced by circular economy. Manuscript submitted for publication.Guzzo, D., & Pigosso, D. C. A. (2024b). The rebound mechanism identification tool: finding rebound effects in circular economy business models. Manuscript submitted for publication (Conference).Pieroni, M. P. P., McAloone, T. C., & Pigosso, D. C. A. (2021). Circular economy business model innovation: Sectorial patterns within manufacturing companies. Journal of Cleaner Production, 286, 124921. https://doi.org/10.1016/j.jclepro.2020.124921
DOI: 10.15468/dl.exur2m
title: Occurrence Download

description: A dataset containing 42586123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.90468800000014 57.9590260000001,31.161979999 57.9590260000001,31.161979999 71.1812520000001,3.90468800000014 71.1812520000001,3.90468800000014 57.9590260000001))"
 ]
}

 The dataset includes 42586123 records from 581 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002901-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10839859
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.cfjxqa
title: Occurrence Download

description: A dataset containing 1713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobius cobitis Pallas, 1814",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1713 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002912-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5cvy7
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Narcissus jonquilla L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002913-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ded4z8
title: Occurrence Download

description: A dataset containing 4005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrilus planipennis Fairmaire, 1888",
 "Year 1000-2025"
 ]
}

 The dataset includes 4005 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002914-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vaegru
title: Occurrence Download

description: A dataset containing 149104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carcinus maenas (Linnaeus, 1758)"
 ]
}

 The dataset includes 149104 records from 382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002903-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hnq37
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grammonus ater (Risso, 1810)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002915-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fz9nzm
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Narcissus triandrus L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 805 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002916-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14916989
title: JWST-Jupiter MIRI Exogenous molecules (HCN, CO2 and H2O)

description: In these files you will find the dataset used for the refered article. You will find three main directories noted 'obsX', where X is the JWST observation 1, 2 or 3, each of them for a specific longitude (335W, 70W and 135W). Within these files you will find the directories to HCN, CO2 and H2O. We remind that for CO2 you will find the retrieved profiles in the .inv files for each spaxel of the MRS FOV. For HCN and H2O you will find the mean latitude spectra. The comparison between the observed and synthetic spectrum is found in the .res files. For more information regarding this dataset, please contact pablo.ovalle@obspm.fr or thierry.fouchet@obspm.fr
DOI: 10.5281/zenodo.14916990
title: JWST-Jupiter MIRI Exogenous molecules (HCN, CO2 and H2O)

description: In these files you will find the dataset used for the refered article. You will find three main directories noted 'obsX', where X is the JWST observation 1, 2 or 3, each of them for a specific longitude (335W, 70W and 135W). Within these files you will find the directories to HCN, CO2 and H2O. We remind that for CO2 you will find the retrieved profiles in the .inv files for each spaxel of the MRS FOV. For HCN and H2O you will find the mean latitude spectra. The comparison between the observed and synthetic spectrum is found in the .res files. For more information regarding this dataset, please contact pablo.ovalle@obspm.fr or thierry.fouchet@obspm.fr
DOI: 10.35097/d9aadtx56qt27yn2
title: Max Reservoir Data - Revision 1

description: This file contains the reservoir data and model outputs for the manuscript titled, "Is drought protection possible without compromising flood protection? Estimating the maximum dual-use benefit of small flood reservoirs in Southern Germany" by Sarah Quynh-Giang Ho and Uwe Ehret. To properly read this data, the class definition file hrb.m must be downloaded from https://doi.org/10.5281/zenodo.12724797 .
DOI: 10.15468/dl.8rw1b6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Nannofossil abundance of Hole 10-88"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002462-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-42240
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.