cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13127/tsunami/ited.1.0
title: Italian Tsunami Effects Database (ITED)
title: Database degli Effetti degli Tsunami Italiani (ITED)
title: ITED
title: The first database of tsunami effects observed along the Italian coasts

description: ITED (Italian Tsunami Effects Database) is the first database of descriptions of tsunami effects observed along the Italian coasts from 79 A.D. to date and was created as an extension of the Italian part of EMTC. ITED provides information on how much and how a location has been affected over time by the effects of tsunamis. For each observation point, ITED contains the description of the effects produced by the tsunami, together with the relevant bibliographic references and it is possible to know the "tsunami history" at each observation point. currently ITED contains 300 observations of tsunami effects (OP) in 186 places (PN) along the italian coasts and it is available through a specially designed Webapp, developed in Esri ArcGIS environment. The Webapp also allows you to make a switch on EMTC2.0 to have more information available about an event.
description: ITED (Italian Tsunami Effects Database) è il primo database delle descrizioni degli effetti di tsunami osservati lungo le coste italiane dal 79 d.C. ad oggi e nasce come ampliamento della parte italiana di EMTC. ITED consente di ottenere informazioni su quanto e come una località sia stata interessata nel corso del tempo dagli effetti di tsunami. Per ogni punto di osservazione, ITED contiene la descrizione degli effetti prodotti dallo tsunami, corredata dei relativi riferimenti bibliografici ed è possibile ricostruire la “tsunami history” per ogni punto di osservazione.Attualmente ITED contiene  300 osservazioni di effetti (OP) di tsunami in 186  punti  (PN) lungo le coste italiane ed è consultabile tramite una Webapp appositamente progettata, sviluppata in ambiente Esri ArcGIS. La Webapp permette anche di fare uno switch su EMTC2.0 per avere a disposizione un maggior numero di info relative ad un evento.
description: The data contained in ITED were obtained mainly from the analysis of historical reports. Starting from the descriptions of Italian tsunamis contained in EMTC, each single observation of tsunami effects has been associated to a geographically identifiable location and municipality (Observation Points-OP). The analysis and interpretation of the descriptive sources allowed, in many cases, to extrapolate quantitative data such as runup, inundation, sea retreat, number of observed waves and first sea movement, which are then associated to the OP. In addition, the interpretation of tsunami effects also allowed to estimate the tsunami intensity for each OP. The temporal distribution of tsunami intensities assigned in a locality (tsunami history) indicates how many times a site has been hit by a tsunami in the past and how severe was the impact.
DOI: 10.14272/qpkoborkphrbps-uhfffaoysa-n.2
title: bis(2-hydroxyethyl) benzene-1,4-dicarboxylate
title: InChI=1S/C12H14O6/c13-5-7-17-11(15)9-1-2-10(4-3-9)12(16)18-8-6-14/h1-4,13-14H,5-8H2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C12H14O6/c13-5-7-17-11(15)9-1-2-10(4-3-9)12(16)18-8-6-14/h1-4,13-14H,5-8H2, and canonical SMILES descriptor[cheminf_000007]: OCCOC(=O)c1ccc(cc1)C(=O)OCCO, and by the IUPAC name[cheminf_000107]: bis(2-hydroxyethyl) benzene-1,4-dicarboxylate.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-50560

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.17632/d8667kjrgf
title: Report Ticketing

description: The dataset contains anonymized ticketing records from a university admissions marketing team documenting communication interactions with prospective students via a centralized helpdesk system. It contains 59,074 entries collected from 2020 to September 2022, covering inquiry topics, contact channels, assigned agents, ticket timestamps, and form purchase status. The data were exported from an internal Customer Relationship Management (CRM) system used by the admissions marketing division.

Each row in the dataset represents a single service ticket, characterized by 15 variables:

Ticket metadata: ticket ID, submission date and time, and ticket closure timestamp.

Categorical fields: category, subcategory, and detailed topic classification.

Operational information: ticket source (communication channel), status, agent handling, and reference source.

Demographic fields: city of origin and form purchase indicator (SUDAH = purchased, BELUM = not purchased).

Free-text field: remark (short inquiry content, standardized and anonymized).

The dataset is available in Microsoft Excel (.xlsx) and CSV formats. Supplementary materials include summary figures showing yearly and monthly ticket distributions, most frequent inquiry categories, dominant communication channels, and conversion indicators.

This dataset can support research on admissions marketing analytics, communication behavior, CRM efficiency, and service process optimization in higher education contexts. It is also suitable for data-driven modeling, such as predicting conversion likelihood, analyzing message volume patterns, and evaluating staff workload distribution across multiple inquiry channels.
DOI: 10.14272/qpkoborkphrbps-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (bis(2-hydroxyethyl) benzene-1,4-dicarboxylate)
title: InChI=1S/C12H14O6/c13-5-7-17-11(15)9-1-2-10(4-3-9)12(16)18-8-6-14/h1-4,13-14H,5-8H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.15468/dl.e8v9ny
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Brassica oleracea"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004444-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d8667kjrgf.1
title: Report Ticketing

description: The dataset contains anonymized ticketing records from a university admissions marketing team documenting communication interactions with prospective students via a centralized helpdesk system. It contains 59,074 entries collected from 2020 to September 2022, covering inquiry topics, contact channels, assigned agents, ticket timestamps, and form purchase status. The data were exported from an internal Customer Relationship Management (CRM) system used by the admissions marketing division.

Each row in the dataset represents a single service ticket, characterized by 15 variables:

Ticket metadata: ticket ID, submission date and time, and ticket closure timestamp.

Categorical fields: category, subcategory, and detailed topic classification.

Operational information: ticket source (communication channel), status, agent handling, and reference source.

Demographic fields: city of origin and form purchase indicator (SUDAH = purchased, BELUM = not purchased).

Free-text field: remark (short inquiry content, standardized and anonymized).

The dataset is available in Microsoft Excel (.xlsx) and CSV formats. Supplementary materials include summary figures showing yearly and monthly ticket distributions, most frequent inquiry categories, dominant communication channels, and conversion indicators.

This dataset can support research on admissions marketing analytics, communication behavior, CRM efficiency, and service process optimization in higher education contexts. It is also suitable for data-driven modeling, such as predicting conversion likelihood, analyzing message volume patterns, and evaluating staff workload distribution across multiple inquiry channels.
DOI: 10.14272/wozvhxuhuflzgk-uhfffaoysa-n.3
title: dimethyl benzene-1,4-dicarboxylate
title: InChI=1S/C10H10O4/c1-13-9(11)7-3-5-8(6-4-7)10(12)14-2/h3-6H,1-2H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C10H10O4/c1-13-9(11)7-3-5-8(6-4-7)10(12)14-2/h3-6H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: COC(=O)c1ccc(cc1)C(=O)OC, and by the IUPAC name[cheminf_000107]: dimethyl benzene-1,4-dicarboxylate.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-50574

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/wozvhxuhuflzgk-uhfffaoysa-n/chmo0000593.2
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (dimethyl benzene-1,4-dicarboxylate)
title: InChI=1S/C10H10O4/c1-13-9(11)7-3-5-8(6-4-7)10(12)14-2/h3-6H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/sa-fuhff-uhfffadpsc-wozvhxuhuf-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-WOZVHXUHUF-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.17632/z6ydtnb9wd
title: Soil organic carbon loss as CO2 at depths up to 90 cm: Insights from δ13C isotopic profiles in a wheat-maize rotation
DOI: 10.17632/z6ydtnb9wd.1
title: Soil organic carbon loss as CO2 at depths up to 90 cm: Insights from δ13C isotopic profiles in a wheat-maize rotation
DOI: 10.14272/lpekggxmpwtocb-uhfffaoysa-n.1
title: methyl 2-hydroxypropanoate
title: InChI=1S/C4H8O3/c1-3(5)4(6)7-2/h3,5H,1-2H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C4H8O3/c1-3(5)4(6)7-2/h3,5H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: COC(=O)C(O)C, and by the IUPAC name[cheminf_000107]: methyl 2-hydroxypropanoate.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-50586

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/lpekggxmpwtocb-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (methyl 2-hydroxypropanoate)
title: InChI=1S/C4H8O3/c1-3(5)4(6)7-2/h3,5H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/sa-fuhff-uhfffadpsc-lpekggxmpw-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.6
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-LPEKGGXMPW-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.17632/232mxg3ppy
title: Digital Communication for Sustainability: A Bibliometric Analysis of Branding and Trends in Scientific Literature

description: This dataset contains bibliometric data used for the study “Digital Communication for Sustainability: A Bibliometric Analysis of Branding and Trends in Scientific Literature.”
The dataset includes Scopus export files and processed data from Biblioshiny covering publications from 2010 to 2025. The data were analyzed to identify trends, authorship patterns, and keyword evolution related to branding and trends research.
DOI: 10.17632/232mxg3ppy.2
title: Digital Communication for Sustainability: A Bibliometric Analysis of Branding and Trends in Scientific Literature

description: This dataset contains bibliometric data used for the study “Digital Communication for Sustainability: A Bibliometric Analysis of Branding and Trends in Scientific Literature.”
The dataset includes Scopus export files and processed data from Biblioshiny covering publications from 2010 to 2025. The data were analyzed to identify trends, authorship patterns, and keyword evolution related to branding and trends research.
DOI: 10.14272/wozvhxuhuflzgk-uhfffaoysa-n/chmo0000593.5
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (dimethyl benzene-1,4-dicarboxylate)
title: InChI=1S/C10H10O4/c1-13-9(11)7-3-5-8(6-4-7)10(12)14-2/h3-6H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/sa-fuhff-uhfffadpsc-qvsudymnws-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.7
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-QVSUDYMNWS-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/sa-fuhff-uhfffadpsc-qvsudymnws-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.8
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-QVSUDYMNWS-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/wozvhxuhuflzgk-uhfffaoysa-n.6
title: dimethyl benzene-1,4-dicarboxylate
title: InChI=1S/C10H10O4/c1-13-9(11)7-3-5-8(6-4-7)10(12)14-2/h3-6H,1-2H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C10H10O4/c1-13-9(11)7-3-5-8(6-4-7)10(12)14-2/h3-6H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: COC(=O)c1ccc(cc1)C(=O)OC, and by the IUPAC name[cheminf_000107]: dimethyl benzene-1,4-dicarboxylate.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-50607

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.17632/rv8mtpymvw
title: Deciphering the "Pseudo-Recycling" Dilemma: A Study on the Triangular Evolutionary Game of AI-Driven Intelligent Recycling of Electronic Waste

description: This dataset comprises the numerical simulation results and corresponding code from the study titled **“Deciphering the ‘Pseudo-Recycling’ Dilemma: A Study on the Triangular Evolutionary Game of AI-Driven Intelligent Recycling of Electronic Waste.”** The research investigates how artificial intelligence technologies—particularly when integrated with blockchain—mitigate fraudulent recycling behaviors and facilitate the transition toward an intelligent circular economy by reshaping the strategic interactions among government, recycling enterprises, and financial institutions. The core methodology is built on a tripartite evolutionary game model, which captures the dynamic strategy adjustments of these three stakeholders under various parameter settings reflecting the influence of AI-enabled supervision, cost structures, and incentive mechanisms. Data supporting the model were sourced from authoritative environmental reports, policy documents, and case studies on e-waste management, enabling empirical calibration of key parameters such as regulatory costs, penalty intensity, and recycling efficiency. The simulation codes—developed and executed manually in MATLAB—include time-series plots illustrating the evolution of strategy probabilities, phase diagrams of system stability, and scripts for equilibrium analysis, all designed to ensure reproducibility of the model’s findings. The dataset is systematically structured and comprehensive, offering a valuable reference and practical toolkit for researchers in the fields of evolutionary game theory, circular economy, and AI-driven environmental governance.
DOI: 10.14272/sa-fuhff-uhfffadpsc-ydjzxhzrxd-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-YDJZXHZRXD-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.17632/rv8mtpymvw.1
title: Deciphering the "Pseudo-Recycling" Dilemma: A Study on the Triangular Evolutionary Game of AI-Driven Intelligent Recycling of Electronic Waste

description: This dataset comprises the numerical simulation results and corresponding code from the study titled **“Deciphering the ‘Pseudo-Recycling’ Dilemma: A Study on the Triangular Evolutionary Game of AI-Driven Intelligent Recycling of Electronic Waste.”** The research investigates how artificial intelligence technologies—particularly when integrated with blockchain—mitigate fraudulent recycling behaviors and facilitate the transition toward an intelligent circular economy by reshaping the strategic interactions among government, recycling enterprises, and financial institutions. The core methodology is built on a tripartite evolutionary game model, which captures the dynamic strategy adjustments of these three stakeholders under various parameter settings reflecting the influence of AI-enabled supervision, cost structures, and incentive mechanisms. Data supporting the model were sourced from authoritative environmental reports, policy documents, and case studies on e-waste management, enabling empirical calibration of key parameters such as regulatory costs, penalty intensity, and recycling efficiency. The simulation codes—developed and executed manually in MATLAB—include time-series plots illustrating the evolution of strategy probabilities, phase diagrams of system stability, and scripts for equilibrium analysis, all designed to ensure reproducibility of the model’s findings. The dataset is systematically structured and comprehensive, offering a valuable reference and practical toolkit for researchers in the fields of evolutionary game theory, circular economy, and AI-driven environmental governance.
DOI: 10.48511/tdxvcsvs
title: Shepp Creek Hydrometric (UKKSHP01H)

description: This dataset contains hydrometric data for Shepp Creek. This site is part of the Columbia Basin Water Monitoring Framework program (CBWMF). The CBWMF is a coordinated monitoring network that tracks how climate change and other impacts are affecting water supply for communities and ecosystems across the Canadian Columbia Basin region. This site was chosen to add geographic coverage of small streams in the Flathead-Southern Rockies Regional Landscape. Monitoring has been initiated, data will be uploaded in 2024.
DOI: 10.5281/zenodo.15047393
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2000 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2000 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047394
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2000 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2000 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047396
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2001 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2001 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047397
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2001 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2001 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.