cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/77kp3987w7.1
title: Diagrama Ladder - Software FST 4.21 - MANIP-3D (CLP FC 660) - FEC Standard Driver Configuration

description: Este documento é um relatório técnico que detalha um programa de Controlador Lógico Programável (CLP) modelo (FC 660 Standart). O relatório é dividido em três seções principais:


1) Configuração do Driver de Comunicação:

Utiliza um driver TCP/IP padrão, identificado como 'TCPIPFC2'.
Configurações de Rede:
Endereço IP: 192.168.0.15 
Máscara de Sub-rede: 255.255.255.0 
Gateway: 192.168.0.1 

2) Lista de Alocação de Variáveis:

Esta seção funciona como um dicionário de todas as entradas, saídas e memórias internas usadas no programa, associando seus endereços (Operandos) a nomes simbólicos e comentários.

3) Programa em Lógica Ladder:

Apresenta o programa em linguagem Ladder que foi embarcada em um manipulador eletropneumático cartesiano de 3 eixos (X, Y, Z).
DOI: 10.17632/xyxb5kryx3
title: Bangla Social media comments Dataset (BanglaMedia)

description: This Dataset contains 7,725 comments collected from public YouTube comments. Collected data was labelled into 10 topic class (others, abusive, political, religious, international, education, food, sports, technology, threat) and 4 sentiment class (positive, negative, neutral, hate . The dataset were annotated by native Bengali speakers. The dataset supports multiple downstream tasks such as topic classification, sentiment analysis, and the development of real-world automatic censorship models.
DOI: 10.17632/xyxb5kryx3.1
title: Bangla Social media comments Dataset (BanglaMedia)

description: This Dataset contains 7,725 comments collected from public YouTube comments. Collected data was labelled into 10 topic class (others, abusive, political, religious, international, education, food, sports, technology, threat) and 4 sentiment class (positive, negative, neutral, hate . The dataset were annotated by native Bengali speakers. The dataset supports multiple downstream tasks such as topic classification, sentiment analysis, and the development of real-world automatic censorship models.
DOI: 10.17632/g2wj9mf8fn
title: Spent coffee ground compost as an alternative substrate to peat moss for greenhouse plant production

description: Peat moss (PM) is the most commonly used plant substrate for greenhouse production; however, as PM extraction causes peatland depletion, the demand for alternative substrates to PM has increased. Spent coffee grounds (SCG), which are organic waste massively generated worldwide, have high concentrations of nutrients and organic matter and are considered an excellent partial substitute for PM. Hence, in this study, SCG compost (SCG-C) was developed by preparing different mixtures with cow manure (CM), which served as an additive to improve SCG degradability. The compost mixture consisting of 75% SCG and 25% CM satisfied all the plant growth parameters specified by Mexican regulations. Radish plants cultivated on a growing medium with 25% SCG-C exhibited optimal growth. Similarly, the addition of 25% SCG-C in PM positively affected the growth rates of tomato, jalapeño chili, serrano chili, and lettuce seedlings. Therefore, SCG-C is suitable for PM enrichment and production of plants.
DOI: 10.17632/g2wj9mf8fn.2
title: Spent coffee ground compost as an alternative substrate to peat moss for greenhouse plant production

description: Peat moss (PM) is the most commonly used plant substrate for greenhouse production; however, as PM extraction causes peatland depletion, the demand for alternative substrates to PM has increased. Spent coffee grounds (SCG), which are organic waste massively generated worldwide, have high concentrations of nutrients and organic matter and are considered an excellent partial substitute for PM. Hence, in this study, SCG compost (SCG-C) was developed by preparing different mixtures with cow manure (CM), which served as an additive to improve SCG degradability. The compost mixture consisting of 75% SCG and 25% CM satisfied all the plant growth parameters specified by Mexican regulations. Radish plants cultivated on a growing medium with 25% SCG-C exhibited optimal growth. Similarly, the addition of 25% SCG-C in PM positively affected the growth rates of tomato, jalapeño chili, serrano chili, and lettuce seedlings. Therefore, SCG-C is suitable for PM enrichment and production of plants.
DOI: 10.15468/dl.sfmrk6
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium glaciale",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027320-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6bs574w97v
title: Demographics, Comorbidities, Medications, and Healthcare Encounter History Before and After Propensity Matching

description: Supplementary tables for the article "Decreased risk of Cardiovascular Disease in Dermatology Patients Taking Niacinamide."
DOI: 10.34740/kaggle/dsv/12963231
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/6bs574w97v.2
title: Demographics, Comorbidities, Medications, and Healthcare Encounter History Before and After Propensity Matching

description: Supplementary tables for the article "Decreased risk of Cardiovascular Disease in Dermatology Patients Taking Niacinamide."
DOI: 10.17632/4dmc2zsjpg
title: Complete Reformulation and Revision of All Scientific Equations, Laws and Principles (ΩH∗)

description: A Comprehensive Revision of All Scientific Equations and Laws Incorporating the Hamzah Certainty Constant (ΩH∗)
Introduction:

The scientific community has long sought to develop unified frameworks that can describe the fundamental laws of nature across various domains of physics, mathematics, and beyond. From the intricacies of quantum mechanics to the vast scales of cosmology, our understanding of the universe is governed by equations and constants that define its structure and behavior. Yet, despite the successes of classical and modern physics, the quest for a comprehensive, multi-scale theory that unites all aspects of the universe has remained elusive.

In recent years, a groundbreaking approach has emerged in the form of the Hamzah Certainty Constant (ΩH∗), a universal, multi-scale constant that provides a unified framework for understanding the underlying principles of both classical and quantum phenomena. This constant, introduced by the pioneering work of Seyed Rasoul Jalali, offers a novel way to connect seemingly disparate fields of science under a single, all-encompassing theory. It stands as a key ingredient in the quest to resolve the discrepancies between quantum mechanics and general relativity, two pillars of modern physics that have yet to be unified.

The Hamzah Certainty Constant (ΩH∗) is designed to be a multi-scale universal constant whose value is dependent on both the physical scale of the system (denoted LLL) and the fractal dimension (denoted DfD_fDf) of the system under consideration. This characteristic makes it distinct from other constants in physics, as it provides a flexible yet powerful tool for modeling both macroscopic and microscopic systems.

This constant can be applied across all scientific disciplines—from the minute particles that govern quantum mechanics to the vast expanses of galaxies and the very fabric of spacetime. By revising existing scientific equations and laws to incorporate ΩH∗, we can not only enhance our understanding of established theories but also bring forth new insights into unexplained phenomena.Conclusion
The Hamzah Certainty Constant (ΩH∗) represents a monumental shift in the way we approach scientific modeling and theory development. By integrating this constant into existing equations and laws, we can enhance our understanding of the universe's most fundamental workings. The multi-scale and fractal-based nature of ΩH∗\O

mega_H^*ΩH∗ offers a new paradigm in scientific exploration, unifying disparate areas of research and providing a bridge between quantum mechanics, general relativity, and the complexities of complex systems.

As research continues to evolve, the incorporation of the Hamzah Certainty Constant will undoubtedly lead to groundbreaking advancements in our understanding of the universe.
DOI: 10.17632/4dmc2zsjpg.1
title: Complete Reformulation and Revision of All Scientific Equations, Laws and Principles (ΩH∗)

description: A Comprehensive Revision of All Scientific Equations and Laws Incorporating the Hamzah Certainty Constant (ΩH∗)
Introduction:

The scientific community has long sought to develop unified frameworks that can describe the fundamental laws of nature across various domains of physics, mathematics, and beyond. From the intricacies of quantum mechanics to the vast scales of cosmology, our understanding of the universe is governed by equations and constants that define its structure and behavior. Yet, despite the successes of classical and modern physics, the quest for a comprehensive, multi-scale theory that unites all aspects of the universe has remained elusive.

In recent years, a groundbreaking approach has emerged in the form of the Hamzah Certainty Constant (ΩH∗), a universal, multi-scale constant that provides a unified framework for understanding the underlying principles of both classical and quantum phenomena. This constant, introduced by the pioneering work of Seyed Rasoul Jalali, offers a novel way to connect seemingly disparate fields of science under a single, all-encompassing theory. It stands as a key ingredient in the quest to resolve the discrepancies between quantum mechanics and general relativity, two pillars of modern physics that have yet to be unified.

The Hamzah Certainty Constant (ΩH∗) is designed to be a multi-scale universal constant whose value is dependent on both the physical scale of the system (denoted LLL) and the fractal dimension (denoted DfD_fDf) of the system under consideration. This characteristic makes it distinct from other constants in physics, as it provides a flexible yet powerful tool for modeling both macroscopic and microscopic systems.

This constant can be applied across all scientific disciplines—from the minute particles that govern quantum mechanics to the vast expanses of galaxies and the very fabric of spacetime. By revising existing scientific equations and laws to incorporate ΩH∗, we can not only enhance our understanding of established theories but also bring forth new insights into unexplained phenomena.Conclusion
The Hamzah Certainty Constant (ΩH∗) represents a monumental shift in the way we approach scientific modeling and theory development. By integrating this constant into existing equations and laws, we can enhance our understanding of the universe's most fundamental workings. The multi-scale and fractal-based nature of ΩH∗\O

mega_H^*ΩH∗ offers a new paradigm in scientific exploration, unifying disparate areas of research and providing a bridge between quantum mechanics, general relativity, and the complexities of complex systems.

As research continues to evolve, the incorporation of the Hamzah Certainty Constant will undoubtedly lead to groundbreaking advancements in our understanding of the universe.
DOI: 10.15468/dl.dsb4ej
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene pendula",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 157 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027321-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6yrfj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops stalkeri",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027324-250827131500795/datasets/export for details.
DOI: 10.15468/dl.jbcpt6
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cissus decidua"
 ]
}

 The dataset includes 378 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027323-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnuxwg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus pedunculatus",
 "Geometry POLYGON ((4.350227 50.78323, 4.350227 50.79168, 4.3597 50.79168, 4.3597 50.78323, 4.350227 50.78323))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027326-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnsct8
title: Occurrence Download

description: A dataset containing 36474 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecrista fasciculata"
 ]
}

 The dataset includes 36474 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027322-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ceppmy
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tropheus brichardi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 72 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027327-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vf5yej
title: Occurrence Download

description: A dataset containing 71995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Pyrocephalus rubinus",
 "Year 1975-2025"
 ]
}

 The dataset includes 71995 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027241-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5s8bmw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene pendula",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027328-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr424w
title: Occurrence Download

description: A dataset containing 1368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobates tinctorius"
 ]
}

 The dataset includes 1368 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027329-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3c64x
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium ossirwaense",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 80 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027330-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm22f5
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidobatrachus laevis"
 ]
}

 The dataset includes 543 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027331-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s72ujs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luzula multiflora",
 "Geometry POLYGON ((4.350227 50.78323, 4.350227 50.79168, 4.3597 50.79168, 4.3597 50.78323, 4.350227 50.78323))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027332-250827131500795/datasets/export for details.
DOI: 10.15468/dl.ew3sxu
title: Occurrence Download

description: A dataset containing 79666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Mantodea"
 ]
}

 The dataset includes 79666 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027281-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehgjqb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops flavus",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027334-250827131500795/datasets/export for details.
DOI: 10.15468/dl.uh8n9p
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bryconamericus turiuba)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 198 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027335-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxs5je
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium ruwenzoriense",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 198 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027337-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apx2y8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantago lanceolata",
 "Geometry POLYGON ((4.350227 50.78323, 4.350227 50.79168, 4.3597 50.79168, 4.3597 50.78323, 4.350227 50.78323))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027338-250827131500795/datasets/export for details.
DOI: 10.15468/dl.tfg934
title: Occurrence Download

description: A dataset containing 997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.78512 -49.40942,-16.09371 -49.40942,-16.09371 -15.89380,-94.78512 -15.89380,-94.78512 -49.40942))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum commersonii"
 ]
}

 The dataset includes 997 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027336-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nneh7u
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene pseudoatocion",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027339-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9swj6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene pseudoatocion",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027340-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30054601.v2
title: Impact of social responsibility on local communities: evidence from the Las Bambas mining company in Peru.

description: This research analyzes the impact of corporate social responsibility (CSR) of the mining company Las Bambas on the local communities of Cotabambas, Peru. The study was conducted using a quantitative, non-experimental, and explanatory approach, through a cross-sectional design. A Likert-scale questionnaire was administered to 377 residents, complemented by interviews with 10 local authorities and political leaders, as well as an observation sheet adapted from previous studies.The statistical analysis enabled the evaluation of four hypotheses regarding the influence of social responsibility on environmental, agricultural, and social variables. The results revealed significant correlations: 0.610 with residents’ perceptions, 0.575 with water resource use, 0.510 with agricultural production, and 0.720 with livestock activity. These findings confirm the negative effects of mining on local development, affecting land, water, air, pastures, fauna, and flora.This research provides empirical evidence on the challenges of responsible mining in rural contexts and may serve as a basis for future studies on social responsibility, sustainability, and community development in extractive sectors.