cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17475783
title: Supplementary Files for Metabolic Signatures of Multiple Breast Cancer Subtypes and Investigation of the Metabolic Impact of Chemotherapy. Biolog Phenotype Mammalian Microarrays Datasets Highlighted Analysis and Raw Data from PhenoMetaboDiff (PM-M1 to PM-M8) for Groups A, B and C

description: This dataset contains Biolog Phenotype MicroArray (PM-M1 through PM-M8) raw and processed data obtained from metabolic fingerprinting of various breast cancer cell lines and control lines. Absorbance values were collected post-incubation using a plate reader and analyzed for statistical significance using the PhenoMetaboDiff software package. The resulting Excel files include both the unprocessed raw data and processed data outputs comparing each experimental group to control cell lines. Data are organized by Group A, Group B, and Group C, corresponding to distinct experimental conditions and cell line groupings.
DOI: 10.5281/zenodo.17475784
title: Supplementary Files for Metabolic Signatures of Multiple Breast Cancer Subtypes and Investigation of the Metabolic Impact of Chemotherapy. Biolog Phenotype Mammalian Microarrays Datasets Highlighted Analysis and Raw Data from PhenoMetaboDiff (PM-M1 to PM-M8) for Groups A, B and C

description: This dataset contains Biolog Phenotype MicroArray (PM-M1 through PM-M8) raw and processed data obtained from metabolic fingerprinting of various breast cancer cell lines and control lines. Absorbance values were collected post-incubation using a plate reader and analyzed for statistical significance using the PhenoMetaboDiff software package. The resulting Excel files include both the unprocessed raw data and processed data outputs comparing each experimental group to control cell lines. Data are organized by Group A, Group B, and Group C, corresponding to distinct experimental conditions and cell line groupings.
DOI: 10.15468/dl.z78hxb
title: Occurrence Download

description: A dataset containing 4336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anguilla rostrata"
 ]
}

 The dataset includes 4336 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006601-251025141854904/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.30479939
title: Final Project GuidanceEnglish Language Course for Early childhood-Education Study Program [2025-2026]

description: This guide is written in Indonesian and includes<br>specific examples in communicative English. Its<br>purpose is to help students easily follow the<br>project sequence and to help them overcome<br>both passive and active language barriers in using<br>English. The overall aim of the English course for<br>the Early Childhood Education program is to<br>equip future graduates with communicative and<br>practical English skills, directly relevant to their<br>field of study and its outcomes.<br>
DOI: 10.6084/m9.figshare.30479939.v1
title: Final Project GuidanceEnglish Language Course for Early childhood-Education Study Program [2025-2026]

description: This guide is written in Indonesian and includes<br>specific examples in communicative English. Its<br>purpose is to help students easily follow the<br>project sequence and to help them overcome<br>both passive and active language barriers in using<br>English. The overall aim of the English course for<br>the Early Childhood Education program is to<br>equip future graduates with communicative and<br>practical English skills, directly relevant to their<br>field of study and its outcomes.<br>
DOI: 10.15468/dl.tp2syw
title: Occurrence Download

description: A dataset containing 89 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.continent = 'EUROPE'
 AND occurrence.countrycode IN ('GB', 'IE', 'ES', 'MT', 'GR', 'PT', 'CY')
 AND occurrence.datasetkey IN ('6dce0193-6341-4eda-adcf-9d3ff9c857b0', '30dc001b-cd3b-49c4-83b1-e881aad9aaf2', 'e36c72ed-3b15-49f8-97fc-faaa467eb59e', '040c5662-da76-4782-a48e-cdea1892d14c', '50c9509d-22c7-4a22-a47d-8c48425ef4a7')
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND (CAST(occurrence.taxonkey AS INTEGER) = 7579898 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 7579898 OR CAST(occurrence.kingdomkey AS INTEGER) = 7579898 OR CAST(occurrence.phylumkey AS INTEGER) = 7579898 OR CAST(occurrence.classkey AS INTEGER) = 7579898 OR CAST(occurrence.orderkey AS INTEGER) = 7579898 OR CAST(occurrence.familykey AS INTEGER) = 7579898 OR CAST(occurrence.genuskey AS INTEGER) = 7579898 OR CAST(occurrence.specieskey AS INTEGER) = 7579898)
 AND (occurrence."year" &gt;= 1901 AND occurrence."year" &lt;= 2025)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 89 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006591-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9utt7
title: Occurrence Download

description: A dataset containing 32617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Achnatherum calamagrostis",
 "Year 1950-2025"
 ]
}

 The dataset includes 32617 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006602-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/28229
title: Chandra X-ray Observatory ObsId 28229

description: Orphanage
DOI: 10.15468/dl.jpuyqu
title: Occurrence Download

description: A dataset listing the 21896 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-80.03412 26.72382,-80.14205 26.72255,-80.23775 26.56922,-80.22183 26.44193,-80.26521 26.3156,-80.28451 26.17523,-80.36445 26.12708,-80.46758 26.14606,-80.42799 25.93925,-80.47871 25.86861,-80.4857 25.75563,-80.50299 25.65758,-80.39712 25.59214,-80.29295 25.59491,-80.10702 25.78201,-80.0396 26.32366,-80.03412 26.72382))"
 ]
}

 The dataset's 21896 records were derived from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006592-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21334/npolar.2020.52f230c1
title: Lipophilic pollutants in plasma and adipose tissue, stable isotopes in red blood cells and fatty acids in adipose tissue of polar bears from Svalbard, 2012-2013
DOI: 10.3886/e176501v1-190039
title: Data and Code for: Juvenile Crime and Anticipated Punishment

description: This folder includes data and code to reproduce results included in the article Juvenile Crime and Anticipated Punishment and the accompanying online appendix.
description: Individuals in the United States.
DOI: 10.15468/dl.twnftk
title: Occurrence Download

description: A dataset containing 3505 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus guigna"
 ]
}

 The dataset includes 3505 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006603-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r4mtc
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-63.29078 17.97347,-62.83892 17.97347,-62.83892 18.33063,-63.29078 18.33063,-63.29078 17.97347))",
 "HasCoordinate is true",
 "TaxonKey is Galactia nummularia"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006604-251025141854904/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.30479459
title: POXC results

description: The permanganate oxidisable carbon (POXC) was extracted and analysed following the procedure proposed by Culman et al. (2012), which adapted Weil et al. (2003) methodology
DOI: 10.6084/m9.figshare.30479459.v1
title: POXC results

description: The permanganate oxidisable carbon (POXC) was extracted and analysed following the procedure proposed by Culman et al. (2012), which adapted Weil et al. (2003) methodology
DOI: 10.6084/m9.figshare.30479828
title: <b>Analyzing Digital Maturity as an Implementation to Assess the Responsiveness of E-Government</b>

description: <i>The </i><i>research analyzed digital maturity in assessing the responsiveness of e-government services.</i><i>. The research is driven by the issue that many governments struggle to deliver responsive and efficient digital services due to uneven levels of digital maturity. Technological infrastructure gaps, limited digital competencies, and rigid bureaucratic processes hinder the creation of adaptive e-government systems. Using a scientometric analysis method, the research evaluated literature published from 2019 to 2024, sourced from the Scopus database, and employed RStudio and CiteSpace tools for data visualization and trend mapping. The findings reveal that high levels of digital maturity significantly improved public service efficiency, transparency, and citizen engagement. These improvements are achieved through effective integration of digital technology, organizational transformation, and citizen-centered service design. The research also identifies persistent challenges, such as low digital literacy, infrastructure inequality, resistance to change, and data security concerns, all of which obstruct the realization of responsive e-government. This research contributed originality through a multidimensional approach, offering a strategic framework to evaluate e-government effectiveness using digital maturity indicators such as accessibility, service quality, and public satisfaction. It emphasizes the need for sustained investment in infrastructure, digital literacy programs, and cross-sector collaboration involving the government, private sector, and civil society. Additionally, it identifies opportunities for future research to explore how emerging technologies—such as artificial intelligence, blockchain, and big data—can enhance transparency, efficiency, and inclusivity in public services. Overall, the research positions digital maturity as a key enabler of adaptive and effective governance in the digital era.</i>
DOI: 10.6084/m9.figshare.30479828.v1
title: <b>Analyzing Digital Maturity as an Implementation to Assess the Responsiveness of E-Government</b>

description: <i>The </i><i>research analyzed digital maturity in assessing the responsiveness of e-government services.</i><i>. The research is driven by the issue that many governments struggle to deliver responsive and efficient digital services due to uneven levels of digital maturity. Technological infrastructure gaps, limited digital competencies, and rigid bureaucratic processes hinder the creation of adaptive e-government systems. Using a scientometric analysis method, the research evaluated literature published from 2019 to 2024, sourced from the Scopus database, and employed RStudio and CiteSpace tools for data visualization and trend mapping. The findings reveal that high levels of digital maturity significantly improved public service efficiency, transparency, and citizen engagement. These improvements are achieved through effective integration of digital technology, organizational transformation, and citizen-centered service design. The research also identifies persistent challenges, such as low digital literacy, infrastructure inequality, resistance to change, and data security concerns, all of which obstruct the realization of responsive e-government. This research contributed originality through a multidimensional approach, offering a strategic framework to evaluate e-government effectiveness using digital maturity indicators such as accessibility, service quality, and public satisfaction. It emphasizes the need for sustained investment in infrastructure, digital literacy programs, and cross-sector collaboration involving the government, private sector, and civil society. Additionally, it identifies opportunities for future research to explore how emerging technologies—such as artificial intelligence, blockchain, and big data—can enhance transparency, efficiency, and inclusivity in public services. Overall, the research positions digital maturity as a key enabler of adaptive and effective governance in the digital era.</i>
DOI: 10.60547/usach/vflvsk/lzg6rx
title: Glass _generation_points.txt

description: :unav
DOI: 10.60547/usach/vflvsk/c3i0gp
title: README.txt

description: :unav
DOI: 10.60547/usach/vflvsk/insqlv
title: Candidates.txt

description: :unav
DOI: 10.60547/usach/vflvsk
title: Dataset for: Overflow-Aware Recycling Bin Location with Random Utilities: A Case Study of the Commune of Estación Central, Chile

description: Project title: Overflow-Aware Recycling Bin Location with Random Utilities: A Case Study of the Commune of Estación Central, Chile Authors: Méndez-Vogel, G., Dávila-Gálvez, S., Jara-Moroni, P., and Zamorano, J. --------------------------------------------- Description: This repository contains the datasets used in the computational experiments presented in the paper “Overflow-Aware Recycling Bin Location with Random Utilities: A Case Study of the Commune of Estación Central, Chile.” All model parameters, behavioral assumptions, and experimental settings are described in detail in the paper. The data files provided here correspond to the spatial inputs used to reproduce the optimization and simulation results. --------------------------------------------- Files included: 1. Glass_generation_points.txt This file contains the set of demand points representing locations where glass waste is generated. Each row corresponds to a demand point with the following tab-separated columns: latitude Latitude coordinate of the demand point longitude Longitude coordinate of the demand point glass generated (kg) Estimated weekly quantity of glass generated at the location, in kilograms These points are used to model the spatial distribution of glass waste generation across the study area (Estación Central, Chile). --------------------------------------------- 2. Candidates.txt This file contains the candidate locations for installing or reallocating glass recycling bins. Each row corresponds to a potential facility site, with the following tab-separated columns: latitude Latitude coordinate of the candidate site longitude Longitude coordinate of the candidate site These coordinates define the discrete set of potential bin locations considered by the optimization model. --------------------------------------------- All settings, including user behavior modeling (random utilities), overflow penalties, bin capacities, and spatial parameters, are fully documented in the paper.
DOI: 10.34810/data2611
title: Videoessay. Reading the rural: Materialist awareness while walking in the countryside
title: 31 minute video

description: This is a video-essay about rurality and the researcher’s awareness of the agency of materiality in the countryside. The embodied experience triggers self-reflection on the social constructivist approach to culture and media representations. The research proposes to read rural materialities as texts and to consider non-human agencies in the research of rural imaginaries.
DOI: 10.15151/esrf-es-2252987340
title: Carbonated Recycled Concrete Fines as Supplementary Cementitious Materials - Miguel ARANDA - PID: 38014 VID: 69175 VID: 69178

description: The main objective of this research is to use recycled concrete fines (RCFs) in cement blends. RCF is the fraction of the Construction and Demolition Waste (CDW) with a size smaller than 0.15 mm. Currently, RCFs usually go to landfills because of their low hydration reactivity and the high water demand of the corresponding mortars and concretes. Because of these two reasons, this waste cannot be used to replace a significant fraction of PC. However, the carbonation of RCFs (cRCFs) produced a chemical fixation of CO2 which diminished the water demand and enhanced the reactivity of the resulting PC-cRCFs blends by the pozzolanic reaction. Therefore, the advantages are: (I) it valorises one waste, i.e. RCF; (II) it utilises CO2, contributing to decreasing emissions and developing the CO2-economy; and (III) it reduces the need for PC, which is very intensive in CO2 emissions, producing low-carbon cements. The overall CO2 footprints of the resulting concretes could approach zero.
DOI: 10.5517/ccdc.csd.cc2p3lm1
title: CCDC 2476113: Experimental Crystal Structure Determination

description: Related Article: Yueying Wang, Yessica A. Nelson, Daniel F. Torres Pomares, Cecilia M. McCormick, Tyler A. Kerr, Milan Gembicky, Alexander M. Spokoyny|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03660
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p3ln2
title: CCDC 2476114: Experimental Crystal Structure Determination

description: Related Article: Yueying Wang, Yessica A. Nelson, Daniel F. Torres Pomares, Cecilia M. McCormick, Tyler A. Kerr, Milan Gembicky, Alexander M. Spokoyny|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03660
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p3t7w
title: CCDC 2476318: Experimental Crystal Structure Determination

description: Related Article: Zi-Jun Lei, Yi-Yang Zheng, Zhi-Xiong Wu, Yang He, Yan Dai, Jianyu Cao, Zi-Wei Xi, Jian-Hai Zhou, Yong-Miao Shen, Xiaogang Peng|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c03138
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p5gq2
title: CCDC 2477914: Experimental Crystal Structure Determination

description: Related Article: Michael K. Bogdos, Sven Roediger, Florian Ruepp, Nathalie A. V. Rowlinson, Patrick Müller, Fabio Masero, Jan Hübscher, Bill Morandi|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c06124
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2np3cv
title: CCDC 2463147: Experimental Crystal Structure Determination

description: Related Article: Sadhna Shah, Venkata S. R. Ganga, Yu-Xiang Huang, Natalia Fridman, Inbal Tuvi-Arad, Yi-Tsu Chan, Ofer Reany, Ehud Keinan|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11855
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2np3j0
title: CCDC 2463152: Experimental Crystal Structure Determination

description: Related Article: Sadhna Shah, Venkata S. R. Ganga, Yu-Xiang Huang, Natalia Fridman, Inbal Tuvi-Arad, Yi-Tsu Chan, Ofer Reany, Ehud Keinan|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c11855
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p6c9l
title: CCDC 2478769: Experimental Crystal Structure Determination

description: Related Article: Tsitsi A. Kapfunde, Jennifer Londoño-Salazar, Arulsamy Navamoney, Nobuyuki Yamamoto, Michael J. Shaw, George B. Richter-Addo|2025|Polyhedron|282|117790|doi:10.1016/j.poly.2025.117790
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2p6vb3
title: CCDC 2479235: Experimental Crystal Structure Determination

description: Related Article: Saroshan Deshapriya, Selvan Demir|2025|ACS Org. Inorg. Au|||doi:10.1021/acsorginorgau.5c00086
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.