cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15579789
title: Desinformação: Lupa

description: Descrição da arquitetura, tecnologias e passos adotados para a extração das informações do serviço de fact-checking Lupa em Python - por meio do processo de Web Scraping (extração de dados da web).

Lupa – página de listagem de checagens (/categoria/verificação) e páginas individuais de artigo; O objetivo foi coletar, para cada verificação/artigos checados, os campos: 

a) URL;b) Título;c) Data;d) Assunto;e) Classificação;f) Tipo (sempre “Checagem”);g) Autor.

Os dados foram salvos em dois formatos: CSV (UTF-8) e Excel (.xlsx).

 

2 - Tecnologias e Stack






Camada     



Ferramenta / Biblioteca





Linguagem



Python 3.10+





Automação



Selenium WebDriver 4.x





Navegador Headless



Google Chrome + ChromeDriver





Esperas



WebDriverWait + expected conditions





Manipulação CSV



módulo csv (builtin)





Planilha Excel



openpyxl





DataFrame



pandas (opcional)





Regex



re (builtin)





Pausa



time.sleep





 

3 - Arquitetura da Solução         url_list.py      

              |                                               v                               

Script principal do scrapingEtapa 1 - Inicia o Selenium headless ChromeEtapa 2 - Para a lista de URL (Lupa):

{ driver.get(url){ espera e extrai campos via CSS{ escreve linha em CSV/Excel

Etapa 3 - Fecha driver, salva arquivos.

 

4 - Fluxo de Coleta

1 - Listagem: Acessa o endpoint de categoria, clica em “Carregar mais”e faz scroll para capturar a.sc-eDWCr.hNENvd.

2 - Artigo: Para cada URL, extrai:

a)       span.sc-eDvSVe.bMMjGB (assunto, classifica,c˜ao)

b) span.sc-eDvSVe.hsxZzW (t´ıtulo)

c)  a.sc-csuSiG.kmJMjO (autor)

d)  span.sc-eDvSVe.fJkPUE (data)

e)  Tipo fixo “Checagem”. 

 

5  - Escrita Incremental de DadosPara persistência imediata:a) CSV: abre em append e grava cada registro após scraping.b) Excel: usa openpyxl.Workbook(), ws.append(row) por item, e salva ao final.Cabeçalho comum: url, título, data, assunto, classificação, tipo, autor.

 

6 Exemplo de pseudocódigoimport csv, timefrom selenium import webdriver# ...with open(’dados.csv’,’w’,encoding=’utf-8’) as f:      writer = csv.writer(f)      writer.writerow([...])      for url in urls:           driver.get(url)           time.sleep(3)           # extrai campos           writer.writerow([url, título, data, assunto, classificação, ’Checagem’, autor]) driver.quit()

 

7 Boas Práticasa) Usar seletores robustos, hierarquia quando possível.b) Definir timeouts e esperas para evitar travamentos.c) Execução headless para automação sem UI.d) Gravação incremental para evitar perda de dados.
DOI: 10.15468/8stvsc
title: Wolf tracking, observation of animal diversity, and animals’ daily activity using camera traps in the Kreminsky forests and surrounding areas

description: The dataset represents 215 records of 21 animal species from the Kreminsky forests and surrounding areas in the Luhansk region, Ukraine. The total species list contains 15 mammals, such as Canis lupus, Vulpes vulpes, Meles meles, Lutra lutra, Martes foina, Mustela putorius, Cervus elaphus, Alces alces, etc., and 6 birds, such as Haliaeetus albicilla, Strix aluco, etc.
Also, the dataset includes 12 animal species, checked by camera traps at 7 locations of the Kreminsky forests.
DOI: 10.48597/dnkc-6mqa
title: Measurement of Aerosol light scattering at Whistler Mountain

description: Measurement of Aerosol light scattering at Whistler Mountain
DOI: 10.15468/dl.7vp4ux
title: Occurrence Download

description: A dataset containing 3319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-74.22434 4.75622,-74.23572 4.74483,-74.22115 4.72798,-74.19792 4.71431,-74.22388 4.70201,-74.22069 4.69017,-74.17697 4.697,-74.16786 4.71158,-74.17924 4.73117,-74.1961 4.73526,-74.21523 4.75986,-74.22434 4.75622))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3319 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007426-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449283
title: TalentCLEF 2026 corpus: Skill and Job Title Intelligence for Human Capital Management

description: 🚨 Current Status: Release of Task A Development set and Task B Trainining Set.  To check when new data will be uploaded, please consult the calendar of the task


TalentCLEF2026 corpus - Task A development set and Task B training set

Introduction:

Given the positive response to the inaugural edition of TalentCLEF in 2025, with 76 registered teams, 15 submitted working notes, and 280 runs across both task. TalentCLEF continues to focus on developing and evaluating models that support three key objectives:



Finding/ranking candidates for job positions based on their experience and professional skills.

Implementing upskilling and reskilling strategies that promote the coninuous development of workers

Detecting emerging skills and skills gaps of importance in organizations.


This year’s edition includes two tasks:



Task A - Contextualized Job-Person Matching. Develop systems that identify and rank the most suitable candidate résumés for a given job offer. For each job description in the test set, participants must submit a ranked list of candidate profiles relevant to the position.

Task B - Job-Skill Matching with Skill Type Classification. Develop systems that retrieve the relevant skills associated with a given job title and classify each retrieved skill as core, complementary, or transversa


This repo contains the data for these two tasks.

File structure: 











For a detailed description of the data structure, you can refer to the TalentCLEF2026 data description page, where it is thoroughly explained.






The files is organized into two *.zip files, TaskA.zip and TaskB.zip, each containing folders to support different stages of model development. So far, only the development test of Task A, and the training set of Task A has been released, but in future releases, as the tasks progress, additional data will be added to the different subfolders for each task.

TaskA includes language-specific subfolders within the directories, covering English and Spanish data. Development folders include two essential folders (queries, corpus), and a qrels file for evaluating model relevance to search queries. 

TaskA/
│
├── development/│   ├── english/
│   │   └── queries/│   │   └── corpus/│   │   └── qrels.tsv
│   └── spanish/│       └── queries/│       └── corpus/│       └── qrels.tsv
│
└── test/

TaskB follows a similar structure but without language-specific subfolders, providing general .tsv files for training, validation, and testing. This consistent file organization enables efficient data access and structured updates as new data versions are published.

TaskB/
│


├── training/
│   ├── job2skill.tsv
│   ├── jobid2terms.json
│   └── skillid2terms.json
│
├── validation/
│
└── test/

Tutorials: 




Notebook
Link


Data Download and Load using Python 
Link to Colab




 

Resources: 



Web

Additional resources

More resources soon.
DOI: 10.15468/dl.k2tsxq
title: Occurrence Download

description: A dataset containing 713 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oriens gola"
 ]
}

 The dataset includes 713 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005173-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hehjby
title: Occurrence Download

description: A dataset containing 2002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelodiscus sinensis"
 ]
}

 The dataset includes 2002 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005175-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6141/tw-srda-c00408-1
title: The Happiness Thermometer Project 2024: Prosocial Behavior

description: The Happiness Thermometer Project
DOI: 10.5281/zenodo.18449700
title: ИСПОЛЬЗОВАНИЕ ЦИФРОВЫХ ОБРАЗОВАТЕЛЬНЫХ ТЕХНОЛОГИЙ ДЛЯ ЭФФЕКТИВНОГО ОБУЧЕНИЯ ПРЕДМЕТУ «ПРОПЕДЕВТИКА ДЕТСКИХ БОЛЕЗНЕЙ»

description: В статье исследуется внедрение цифровых образовательных технологий в процесс обучения предмету «Пропедевтика детских болезней» для студентов медицинских вузов. Применение симуляционных модулей, виртуальных пациентов и интерактивных платформ позволяет повысить уровень теоретической и практической подготовки будущих педиатров. В экспериментальном исследовании приняли участие 30 студентов, разделённых на две группы по 15 человек. Результаты показали повышение учебной эффективности на 17% у группы, использовавшей цифровые инструменты, по сравнению с контрольной группой.
DOI: 10.5281/zenodo.18449701
title: ИСПОЛЬЗОВАНИЕ ЦИФРОВЫХ ОБРАЗОВАТЕЛЬНЫХ ТЕХНОЛОГИЙ ДЛЯ ЭФФЕКТИВНОГО ОБУЧЕНИЯ ПРЕДМЕТУ «ПРОПЕДЕВТИКА ДЕТСКИХ БОЛЕЗНЕЙ»

description: В статье исследуется внедрение цифровых образовательных технологий в процесс обучения предмету «Пропедевтика детских болезней» для студентов медицинских вузов. Применение симуляционных модулей, виртуальных пациентов и интерактивных платформ позволяет повысить уровень теоретической и практической подготовки будущих педиатров. В экспериментальном исследовании приняли участие 30 студентов, разделённых на две группы по 15 человек. Результаты показали повышение учебной эффективности на 17% у группы, использовавшей цифровые инструменты, по сравнению с контрольной группой.
DOI: 10.15468/dl.4kvu8d
title: Occurrence Download

description: A dataset containing 5924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delias hyparete"
 ]
}

 The dataset includes 5924 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005177-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e93s6e
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lethe hyrania"
 ]
}

 The dataset includes 464 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005179-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3929gd
title: Occurrence Download

description: A dataset containing 3428 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nacaduba berenice"
 ]
}

 The dataset includes 3428 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005181-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449718
title: BO'LAJAK INGLIZ TILI O'QITUVCHILARINING LEKSIK KOMPETENSIYASINI TAKOMILLASHTRIOSH MAZMUNIGA BO'LGAN ZAMONAVIY YONDASHUVLAR

description: Mazkur maqolada bo‘lajak ingliz tili o‘qituvchilarining leksik kompetensiyasini takomillashtirish mazmuniga zamonaviy yondashuvlar tahlil qilingan. Leksik kompetensiya o‘qituvchining kasbiy tayyorgarligida muhim o‘rin tutadi, chunki u dars samaradorligi, o‘quvchilarning nutq faoliyatini shakllantirish va o‘quv jarayonida til boyligini oshirishga bevosita ta’sir ko‘rsatadi. Maqolada kommunikativ yondashuv, vazifaga asoslangan o‘qitish va integratsiyalashgan ta’lim metodlari orqali leksik bilimlarni samarali rivojlantirish yo‘llari yoritilgan.
DOI: 10.5281/zenodo.18449719
title: BO'LAJAK INGLIZ TILI O'QITUVCHILARINING LEKSIK KOMPETENSIYASINI TAKOMILLASHTRIOSH MAZMUNIGA BO'LGAN ZAMONAVIY YONDASHUVLAR

description: Mazkur maqolada bo‘lajak ingliz tili o‘qituvchilarining leksik kompetensiyasini takomillashtirish mazmuniga zamonaviy yondashuvlar tahlil qilingan. Leksik kompetensiya o‘qituvchining kasbiy tayyorgarligida muhim o‘rin tutadi, chunki u dars samaradorligi, o‘quvchilarning nutq faoliyatini shakllantirish va o‘quv jarayonida til boyligini oshirishga bevosita ta’sir ko‘rsatadi. Maqolada kommunikativ yondashuv, vazifaga asoslangan o‘qitish va integratsiyalashgan ta’lim metodlari orqali leksik bilimlarni samarali rivojlantirish yo‘llari yoritilgan.
DOI: 10.13140/rg.2.2.21767.66722
title: Environmental Emergency Planning for Iraq: A Precautionary Framework Amid U.S.–Iran Tensions
DOI: 10.15468/dl.zpypp7
title: Occurrence Download

description: A dataset containing 91544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium calceolus"
 ]
}

 The dataset includes 91544 records from 531 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005155-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npee22
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mayaheros urophthalmus, Cichlasoma urophthalmum ericymba, Heros urophthalmus)"
 ]
}

 The dataset includes 370 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005183-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449726
title: DZYUDOCHILARNING TAYYORGARLIK DAVRIDA JISMONIY YUKLAMALARNI REJALASHTIRISH KONSEPSIYASI VA ULARNING SPORT RIVOJIDAGI O'RNI

description: Mazkur maqolada dzyudo tushunchasining ta’rifi,uning qay holatda amalga oshirilishi va ushbu sportning maxsus kiyimi haqida biroz tushuncha berilib,keyin dzyudochilarning tayyorgarlik davrida jismoniy yuklamalarni rejalashtirish konsepsiyasi va ularning sport rivojidagi o’rni haqida ma’lumotlar keltirilgan. Maqolada jismoniy yuklamalarni to‘g‘ri rejalashtirish dzyudochilarning sport rivoji, texnik-taktik mahoratini shakllantirish va musobaqalarda yuqori natijalarga erishishdagi muhim omil ekanligi ta’kidlab o’tilgan.
DOI: 10.5281/zenodo.18449725
title: DZYUDOCHILARNING TAYYORGARLIK DAVRIDA JISMONIY YUKLAMALARNI REJALASHTIRISH KONSEPSIYASI VA ULARNING SPORT RIVOJIDAGI O'RNI

description: Mazkur maqolada dzyudo tushunchasining ta’rifi,uning qay holatda amalga oshirilishi va ushbu sportning maxsus kiyimi haqida biroz tushuncha berilib,keyin dzyudochilarning tayyorgarlik davrida jismoniy yuklamalarni rejalashtirish konsepsiyasi va ularning sport rivojidagi o’rni haqida ma’lumotlar keltirilgan. Maqolada jismoniy yuklamalarni to‘g‘ri rejalashtirish dzyudochilarning sport rivoji, texnik-taktik mahoratini shakllantirish va musobaqalarda yuqori natijalarga erishishdagi muhim omil ekanligi ta’kidlab o’tilgan.
DOI: 10.15468/dl.k3pzjw
title: Occurrence Download

description: A dataset containing 685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Axis axis",
 "Year 2010-2026"
 ]
}

 The dataset includes 685 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005184-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16944851
title: Data Supplement to 'Increased hydroclimate variability in midlatitude Europe during the middle Eocene greenhouse'

description: Data set includes stratigraphic levels of Messel core samples, n-alkane hydrogen and carbon isotopic values, and n-alkane indices such as CPI, ACL and Paq.
DOI: 10.5281/zenodo.16944850
title: Data Supplement to 'Increased hydroclimate variability in midlatitude Europe during the middle Eocene greenhouse'

description: Data set includes stratigraphic levels of Messel core samples, n-alkane hydrogen and carbon isotopic values, and n-alkane indices such as CPI, ACL and Paq.
DOI: 10.15468/dl.3qxxmv
title: Occurrence Download

description: A dataset containing 1183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Byasa polyeuctes"
 ]
}

 The dataset includes 1183 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005186-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkxuyh
title: Occurrence Download

description: A dataset containing 5510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Actinotus minor"
 ]
}

 The dataset includes 5510 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005187-260129131611470/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/14698333
title: BOS Kemdikbud
DOI: 10.6084/m9.figshare.31224010
title: Sport-specific muscle architectural adaptations and jump performance in preadolescent rhythmic gymnasts

description: The aim of this study was to compare muscle architecture adaptations of several lower limb muscles (VL, GM, GL and BF), during long-term systematic training at a very early age in rhythmic gymnasts. In addition, we examined the association between muscle architecture and CMJ force-time parameters between child rhythmic gymnasts and controls<b>.</b>
DOI: 10.6084/m9.figshare.31224010.v1
title: Sport-specific muscle architectural adaptations and jump performance in preadolescent rhythmic gymnasts

description: The aim of this study was to compare muscle architecture adaptations of several lower limb muscles (VL, GM, GL and BF), during long-term systematic training at a very early age in rhythmic gymnasts. In addition, we examined the association between muscle architecture and CMJ force-time parameters between child rhythmic gymnasts and controls<b>.</b>
DOI: 10.15468/dl.zkn9e5
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Scaptotrigona"
 ]
}

 The dataset includes 74 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005192-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxr3p3
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elymnias malelas"
 ]
}

 The dataset includes 317 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005193-260129131611470/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/14698366
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18449454
title: Data for "Shifts in plant ecological strategies drive divergent soil organic carbon stock in Alpine Ecosystems"

description: Analyses for the manuscript “Shifts in Plant Ecological Strategies Drive Divergent Soil Organic Carbon Stock in Alpine Ecosystems” using plant and soil data collected for a large-scale sampling campaign along elevational gradients in seven mountains across mainland China. The dataset included information about the sample sites, data of soil organic carbon, plant ecological strategies, plant functional traits, soil enzymes, soil microbial biomasss, and soil physicochemical properties.

Variables:



Mountains: AT: Altai Mountains, TS: Tian Mountains, CB: Changbai Mountains, QL: Qilian Mountains, BL: Balang Mountains, SL: Segrila Mountain, YL: Yulong Mountains

Strategy: Plant strategy classification for subsequent calculations.  C strategy: competitors, S strategy: stress-tolerators

Strategy_origial: 

SOC: soil organic carbon

PPO: polyphenol oxidase

PER: peroxidase

BG: β-D-glucosidase

MBC: soil microbial biomass carbon

MBN: Soil microbial biomass nitrogen

MBC/N: ratio of soil microbial biomass carbon to nitrogen

height: plant height

LDMC: leaf dry matter content

SLA: specific leaf area

leafN: leaf nitrogen

leafC: leaf carbon
DOI: 10.5281/zenodo.18449455
title: Data for "Shifts in plant ecological strategies drive divergent soil organic carbon stock in Alpine Ecosystems"

description: Analyses for the manuscript “Shifts in Plant Ecological Strategies Drive Divergent Soil Organic Carbon Stock in Alpine Ecosystems” using plant and soil data collected for a large-scale sampling campaign along elevational gradients in seven mountains across mainland China. The dataset included information about the sample sites, data of soil organic carbon, plant ecological strategies, plant functional traits, soil enzymes, soil microbial biomasss, and soil physicochemical properties.

Variables:



Mountains: AT: Altai Mountains, TS: Tian Mountains, CB: Changbai Mountains, QL: Qilian Mountains, BL: Balang Mountains, SL: Segrila Mountain, YL: Yulong Mountains

Strategy: Plant strategy classification for subsequent calculations.  C strategy: competitors, S strategy: stress-tolerators

Strategy_origial: 

SOC: soil organic carbon

PPO: polyphenol oxidase

PER: peroxidase

BG: β-D-glucosidase

MBC: soil microbial biomass carbon

MBN: Soil microbial biomass nitrogen

MBC/N: ratio of soil microbial biomass carbon to nitrogen

height: plant height

LDMC: leaf dry matter content

SLA: specific leaf area

leafN: leaf nitrogen

leafC: leaf carbon
DOI: 10.15468/dl.zqxr3d
title: Occurrence Download

description: A dataset containing 815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Culex fuscocephala)"
 ]
}

 The dataset includes 815 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005196-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxam3f
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lethe sidonis"
 ]
}

 The dataset includes 135 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005197-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/zc7z-tg58
title: "The impact of calculator-use policies on undergraduate students\u2019 calculator use, perceptions and mathematics achievement"

description: "In August 2023, we distributed an online questionnaire to first- and second-year students from two universities, specializing in Mathematics and Physics. Ultimately, 474 valid questionnaires were retained, focusing on students' calculator-use-policy background, calculator use, perceptions, as well as mathematics achievement."