cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24597315.v1
title: Uncertainties in deforestation emission baseline methodologies and implications for carbon markets

description: Carbon credits generated through jurisdictional-scale avoided deforestation projects require accurate estimates of deforestation emission baselines, but there are serious challenges to their robustness. We assessed the variability, accuracy, and uncertainty of baselining methods by applying sensitivity and variable importance analysis on a range of typically-used methods and parameters for 2,794 jurisdictions worldwide. The median jurisdiction’s deforestation emission baseline varied by 171% (90% range: 87%-440%) of its mean, with a median forecast error of 0.778 times (90% range: 0.548-3.56) the actual deforestation rate. Moreover, variable importance analysis emphasised the strong influence of the deforestation projection approach. For the median jurisdiction, 68.0% of possible methods (90% range: 61.1%-85.6%) exceeded 15% uncertainty. Tropical and polar biomes exhibited larger uncertainties in carbon estimations. The use of sensitivity analyses, multi-model, and multi-source ensemble approaches could reduce variabilities and biases. These findings provide a roadmap for improving baseline estimations to enhance carbon market integrity and trust. 


This dataset contains data generated by the study, comprising (1) relative variability of mean deforestation emission baselines; (2) historical accuracy of predicted deforestation rates; (3) uncertainties of deforestation emission baselines, deforestation projections and carbon estimates.
DOI: 10.6084/m9.figshare.24581295
title: Profiling ubiquitin signaling with UBIMAX reveals DNA damage- and SCFβTRCP-dependent ubiquitylation of the actin-organizing protein Dbn1

description: Source data related to UBIMAX manuscript
DOI: 10.6084/m9.figshare.23260484
title: Source Data File for "Viruses under the Antarctic Ice Shelf are active and potentially involved in global nutrient cycles"

description: It contains source data for complementing and supporting our findings on virus features, genome sequence, predicted ORFs (protein sequence), viral classification, viral network analysis, virus-host assignment, data on abundance and activity of viruses, similarity with vSAG 37-F6 virus and AMG information. In addition, we provide a a file with the sequence of viral contigs/genomes and protein prediction
DOI: 10.6084/m9.figshare.22720387
title: Homo- and hetero-dimeric subunit interactions set affinity and efficacy in metabotropic glutamate receptors

description: single molecule analysis of GPCRs
DOI: 10.6084/m9.figshare.24597315
title: Uncertainties in deforestation emission baseline methodologies and implications for carbon markets

description: Carbon credits generated through jurisdictional-scale avoided deforestation projects require accurate estimates of deforestation emission baselines, but there are serious challenges to their robustness. We assessed the variability, accuracy, and uncertainty of baselining methods by applying sensitivity and variable importance analysis on a range of typically-used methods and parameters for 2,794 jurisdictions worldwide. The median jurisdiction’s deforestation emission baseline varied by 171% (90% range: 87%-440%) of its mean, with a median forecast error of 0.778 times (90% range: 0.548-3.56) the actual deforestation rate. Moreover, variable importance analysis emphasised the strong influence of the deforestation projection approach. For the median jurisdiction, 68.0% of possible methods (90% range: 61.1%-85.6%) exceeded 15% uncertainty. Tropical and polar biomes exhibited larger uncertainties in carbon estimations. The use of sensitivity analyses, multi-model, and multi-source ensemble approaches could reduce variabilities and biases. These findings provide a roadmap for improving baseline estimations to enhance carbon market integrity and trust. 


This dataset contains data generated by the study, comprising (1) relative variability of mean deforestation emission baselines; (2) historical accuracy of predicted deforestation rates; (3) uncertainties of deforestation emission baselines, deforestation projections and carbon estimates.
DOI: 10.34740/kaggle/dsv/7198618
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.25403/upresearchdata.24745314.v1
title: Parameters study on the adsorption of chromium using a nanocomposite of nickel ferrite and polyaniline

description: This dataset for a research project delves into the synthesis and application of a highly effective nanocomposite, PANI-NSA/NiFe2O4, for the removal of toxic chromium (Cr (VI)) from synthetic wastewater. The nanocomposite, synthesized through the doping of polyaniline with 2-naphthalene sulfonic acid, exhibits tubular-shaped rods that significantly enhance its surface area. Through meticulous study and optimization of adsorption parameters such as solution pH, adsorbent dosage, agitation time, and initial pollutant concentration, the project achieved an impressive 99.9% removal of 50 mg/L Cr (VI) at pH 2 and a catalyst loading of 1 g/L. Isotherm models, including Freundlich, Langmuir, and Two-Surface Langmuir, were employed to analyze the adsorption data, with the latter proving most fitting. Kinetic studies unveiled a rapid initial adsorption phase followed by a slower process, reaching maximum removal within 24 hours. The project also explored temperature effects, revealing increased adsorption capacity at higher temperatures, with thermodynamic analysis indicating an endothermic and spontaneous process.
DOI: 10.25403/upresearchdata.24745314
title: Parameters study on the adsorption of chromium using a nanocomposite of nickel ferrite and polyaniline

description: This dataset for a research project delves into the synthesis and application of a highly effective nanocomposite, PANI-NSA/NiFe2O4, for the removal of toxic chromium (Cr (VI)) from synthetic wastewater. The nanocomposite, synthesized through the doping of polyaniline with 2-naphthalene sulfonic acid, exhibits tubular-shaped rods that significantly enhance its surface area. Through meticulous study and optimization of adsorption parameters such as solution pH, adsorbent dosage, agitation time, and initial pollutant concentration, the project achieved an impressive 99.9% removal of 50 mg/L Cr (VI) at pH 2 and a catalyst loading of 1 g/L. Isotherm models, including Freundlich, Langmuir, and Two-Surface Langmuir, were employed to analyze the adsorption data, with the latter proving most fitting. Kinetic studies unveiled a rapid initial adsorption phase followed by a slower process, reaching maximum removal within 24 hours. The project also explored temperature effects, revealing increased adsorption capacity at higher temperatures, with thermodynamic analysis indicating an endothermic and spontaneous process.
DOI: 10.5281/zenodo.10373665
title: Dataset For "Collaborative Robots Can Augment Human Cognition in Regret-Sensitive Tasks"

description: This dataset is associated with the publication "Collaborative Robots Can Augment Human Cognition in Regret-Sensitive Tasks".
DOI: 10.5281/zenodo.10373664
title: Dataset For "Collaborative Robots Can Augment Human Cognition in Regret-Sensitive Tasks"

description: This dataset is associated with the publication "Collaborative Robots Can Augment Human Cognition in Regret-Sensitive Tasks".
DOI: 10.5281/zenodo.10008932
title: Analysing state-backed propaganda websites: a new dataset and linguistic study (complete dataset)

description: This is the complete dataset accompanying the EMNLP 2023 paper "Analysing state-backed propaganda websites: a new dataset and linguistic study".
Please contact the authors for access.
Alternatively, you can reproduce this dataset using the accompanying software (DOI: 10.5281/zenodo.10008086) and a list of post URLs included in the complete dataset (DOI: 10.5281/zenodo.10007383)
DOI: 10.5281/zenodo.10008933
title: Analysing state-backed propaganda websites: a new dataset and linguistic study (complete dataset)

description: This is the complete dataset accompanying the EMNLP 2023 paper "Analysing state-backed propaganda websites: a new dataset and linguistic study".
Please contact the authors for access.
Alternatively, you can reproduce this dataset using the accompanying software (DOI: 10.5281/zenodo.10008086) and a list of post URLs included in the complete dataset (DOI: 10.5281/zenodo.10007383)
DOI: 10.5281/zenodo.10374205
title: Machine-learning potential files and corresponding reference datasets for bilayer defected graphene

description: This dataset contains the machine-learned potential files and reference dataset described in the manuscript "Effect of Interlayer Bonding on Superlubric Sliding of Graphene Contacts: A Machine Learning Potential Study" (to be submitted).
DOI: 10.5281/zenodo.10374206
title: Machine-learning potential files and corresponding reference datasets for bilayer defected graphene

description: This dataset contains the machine-learned potential files and reference dataset described in the manuscript "Effect of Interlayer Bonding on Superlubric Sliding of Graphene Contacts: A Machine Learning Potential Study" (to be submitted).
DOI: 10.23729/7325c282-83d7-433a-be65-a905faa81d03
title: HITEC EB14 preview

description: EB14 samples of HITEC. Collective preview dataset at https://doi.org/10.23729/170132f5-ecba-4dc8-b248-001dc5795db5

Preview of PAS-dataset https://doi.org/10.23729/939a4cc8-de7b-47d6-8e95-14777c2e3ce6
DOI: 10.23729/170132f5-ecba-4dc8-b248-001dc5795db5
title: HITEC preview

description: Collective preview dataset for EURAD HITEC, an EU funded project about behavior of bentonite in high temperatures (https://www.gtk.fi/tutkimusprojekti/eurad-hitec-influence-of-temperature-on-clay-based-material-behaviour/). Experimental conditions for samples are listed on sample entries.

EB01-02 preview: https://doi.org/10.23729/b3dcea6e-82b1-4369-a1db-f5a4d7a56124
EB01-02 PAS: https://doi.org/10.23729/59378422-4ff6-4251-88d9-028f2ffb5361

EB03-04 preview: https://doi.org/10.23729/d72bae2b-2bc7-45b7-82a9-a0dc6cdc4373
EB03-04 PAS: https://doi.org/10.23729/0b8b28f2-13c8-46c5-8c8b-0a4bae00f7e8

EB06-07 preview: https://doi.org/10.23729/24a57984-d17b-47d3-807a-a7a392859373
EB06-07 PAS: https://doi.org/10.23729/733c8f99-47ca-4114-b003-3f4e3fce9ceb

EB05-08 preview: https://doi.org/10.23729/52dfff83-a34b-4c0d-9cb7-20d988b09707
EB05-08 PAS: https://doi.org/10.23729/43e5f11d-1bf6-4345-8703-b35efa196488

EB09-10 preview: https://doi.org/10.23729/fef37ce0-3042-4c87-86e7-143bb8dbc9e6
EB09-10 PAS: https://doi.org/10.23729/31a9e06b-4dcb-468d-881f-40fd80eed785

EB11 preview: https://doi.org/10.23729/f9c383ff-f054-4cc5-b59b-d64daaa9cb77
EB11 PAS: https://doi.org/10.23729/4896503c-db90-4825-8828-e575fd72e5cd

EB12-13 preview: https://doi.org/10.23729/a1163bd9-612b-4230-8f78-4410ca8ac704
EB12-13 PAS: https://doi.org/10.23729/ff9fc4ae-18c7-4bf0-a31a-a169c9d66b26

EB 14 preview: https://doi.org/10.23729/7325c282-83d7-433a-be65-a905faa81d03
EB 14 PAS: https://doi.org/10.23729/939a4cc8-de7b-47d6-8e95-14777c2e3ce6
DOI: 10.25403/upresearchdata.24656169.v1
title: Analysis of participant responses from the Picture My Participation (PmP) tool

description: This dataset presented here contains the responses of both the children with Autism spectrum disorder (ASD) and their primary caregivers from the Picture my Participation tool. Responses are represented both quantitively (Likert scale) and qualitatively (Verbatim Responses). The study was undertaken to describe and compare the perceptions of children with mild to moderate (ASD) and their primary caregivers regarding the children's participation, including barriers and facilitators of participation, in home, social, and community activities.
DOI: 10.25403/upresearchdata.24656169
title: Analysis of participant responses from the Picture My Participation (PmP) tool

description: This dataset presented here contains the responses of both the children with Autism spectrum disorder (ASD) and their primary caregivers from the Picture my Participation tool. Responses are represented both quantitively (Likert scale) and qualitatively (Verbatim Responses). The study was undertaken to describe and compare the perceptions of children with mild to moderate (ASD) and their primary caregivers regarding the children's participation, including barriers and facilitators of participation, in home, social, and community activities.
DOI: 10.5281/zenodo.10374149
title: First-Principle Characterization of Structural, Electronic, and Optical Properties of Tin-Halide Monomers
DOI: 10.5281/zenodo.10374148
title: First-Principle Characterization of Structural, Electronic, and Optical Properties of Tin-Halide Monomers
DOI: 10.34808/70vr-pz64
title: Acid site concentrations of the MXenes samples

description: Data contains the pH of 0.01M NaOH solution, before and after mixing with the MXenes samples.
DOI: 10.6084/m9.figshare.24805488
title: Bible Genres of Amharic, English, and Tigrigna

description: Nine Genres of a Bible in three translations: Tigrigna, Amharic and English.
DOI: 10.5281/zenodo.8244014
title: Supplementary Data: Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures

description: This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures".


The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: realxinzhao/paper-LandBasedCDR-GCAM.


In addition, the data were used for generating results used in the paper. See more information at realxinzhao/paper-LandBasedCDR-DisplayItems.
DOI: 10.5281/zenodo.8244015
title: Supplementary Data: Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures

description: This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures".


The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: realxinzhao/paper-LandBasedCDR-GCAM.


In addition, the data were used for generating results used in the paper. See more information at realxinzhao/paper-LandBasedCDR-DisplayItems.
DOI: 10.5281/zenodo.10356082
title: common motion grouping data
DOI: 10.5281/zenodo.10356081
title: common motion grouping data
DOI: 10.5517/ccdc.csd.cc21q0yr
title: CCDC 1898004: Experimental Crystal Structure Determination

description: Related Article: Debasish Podder, Supriya Sasmal, Sukanya Konar, Pradip Kumar Ghorai, Debasish Haldar|2020|Cryst.Growth Des.|20|1760|doi:10.1021/acs.cgd.9b01492
DOI: 10.5517/ccdc.csd.cc22k1j7
title: CCDC 1923008: Experimental Crystal Structure Determination

description: Related Article: M. Małecka, L. Chęcińska, J. Kusz, M. Biernacka, B. Kupcewicz|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|212|doi:10.1107/S2053229620001503
DOI: 10.5517/ccdc.csd.cc22k1k8
title: CCDC 1923009: Experimental Crystal Structure Determination

description: Related Article: M. Małecka, L. Chęcińska, J. Kusz, M. Biernacka, B. Kupcewicz|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|212|doi:10.1107/S2053229620001503
DOI: 10.5517/ccdc.csd.cc22k1l9
title: CCDC 1923010: Experimental Crystal Structure Determination

description: Related Article: M. Małecka, L. Chęcińska, J. Kusz, M. Biernacka, B. Kupcewicz|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|212|doi:10.1107/S2053229620001503
DOI: 10.5517/ccdc.csd.cc24fxr8
title: CCDC 1979590: Experimental Crystal Structure Determination

description: Related Article: Zufar N. Gafurov, Giyjaz E. Bekmukhamedov, Alexey A. Kagilev, Artyom O. Kantyukov, Il'yas F. Sakhapov, Ilya K. Mikhailov, Khasan R. Khayarov, Ruslan B. Zaripov, Daut R. Islamov, Konstantin S. Usachev, Lapo Luconi, Andrea Rossin, Giuliano Giambastiani, Dmitry G. Yakhvarov|2020|J.Organomet.Chem.|912|121163|doi:10.1016/j.jorganchem.2020.121163
DOI: 10.25318/1310058701-eng
title: Contact with health professionals about mental health, by age group and sex, household population aged 12 and over, Canada, provinces, territories, health regions (January 2000 boundaries) and peer groups

description: This table contains 267456 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (199 items: Canada; Health and Community Services St. John's Region; Newfoundland and Labrador (Peer group H); Health and Community Services Eastern Region; Newfoundland and Labrador (Peer group D); Newfoundland and Labrador ...) Age group (14 items: Total; 12 years and over; 12-19 years; 12-14 years; 15-19 years ...) Sex (3 items: Both sexes; Males; Females ...) Contact with health professionals about mental health (4 items: Total population for the variable contact with health professionals about mental health; Contact with health professionals about mental health in past 12 months; Contact with health professionals about mental health; not stated; No contact with health professionals about mental health in past 12 months ...) Characteristics (8 items: Number of persons; Low 95% confidence interval - number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons ...).
DOI: 10.25318/1310058801-eng
title: Physical check-up, by age group and sex, household population aged 12 and over, selected health regions (January 2000 boundaries)

description: This table contains 8064 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Age group (14 items: Total; 12 years and over; 12 to 19 years; 12 to 14 years; 15 to 19 years ...) Sex (3 items: Both sexes; Females; Males ...) Physical check-up (6 items: Total; physical check-up; Physical check-up; 1 year to less than 3 years ago; Physical check-up; within past 12 months; Physical check-up; 3 or more years ago ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons ...).
DOI: 10.25318/1310058801-fra
title: Examen général, selon le groupe d'âge et le sexe, population à domicile de 12 ans et plus, certaines régions sociosanitaires (limites de janvier 2000)

description: Ce tableau contient 8064 séries, avec des données pour les années 2000 - 2000 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons). Ce tableau contient des données telles que décrites par les dimensions suivantes (les combinaisons ne sont pas toutes disponibles) : Groupe d'âge (14 éléments : Total; 12 ans et plus; 15 à 19 ans; 12 à 14 ans; 12 à 19 ans ...) Sexe (3 éléments : Les deux sexes; Femmes; Hommes ...) Examen général (6 éléments : Total; examen général; Examen général; il y a entre 1 an et moins de 3 ans; Examen général; au cours des 12 derniers mois; Examen général; il y a 3 ans ou plus ...) Caractéristiques (8 éléments : Nombre de personnes; Limite supérieure de l'intervalle de confiance de 95 %; nombre de personnes; Coefficient de variation pour le nombre de personnes; Limite inférieure de l'intervalle de confiance de 95 %; nombre de personnes ...).
DOI: 10.25318/1310058901-fra
title: Examens de la vue, selon le groupe d'âge et le sexe, population à domicile de 12 ans et plus, certaines régions sociosanitaires (limites de janvier 2000)

description: Ce tableau contient 4032 séries, avec des données pour les années 2000 - 2000 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons). Ce tableau contient des données telles que décrites par les dimensions suivantes (les combinaisons ne sont pas toutes disponibles) : Groupe d'âge (14 éléments : Total; 12 ans et plus; 12 à 19 ans; 12 à 14 ans; 15 à 19 ans ...) Sexe (3 éléments : Les deux sexes; Hommes; Femmes ...) Examens de la vue (6 éléments : Total; examens de la vue; Examen de la vue; au cours des 12 derniers mois; Examen de la vue; il y a entre 1 an et moins de 3 ans; Examen de la vue; il y a 3 ans ou plus ...) Caractéristiques (8 éléments : Nombre de personnes; Limite inférieure de l'intervalle de confiance de 95 %; nombre de personnes; Coefficient de variation pour le nombre de personnes; Limite supérieure de l'intervalle de confiance de 95 %; nombre de personnes ...).
DOI: 10.5517/ccdc.csd.cc1zkfzy
title: CCDC 1834021: Experimental Crystal Structure Determination

description: Related Article: K C Kumara Swamy, G Gangadhararao, Mandala Anitha, A Leela Sivakumari, Alla Siva Reddy, Adula Kalyani, Srinivasarao Allu|2018|J.Chem.Sci.(Bangalore,India)|130|99|doi:10.1007/s12039-018-1496-2
DOI: 10.5517/ccdc.csd.cc210gvd
title: CCDC 1877293: Experimental Crystal Structure Determination

description: Related Article: Chao Yang, Zheng-Li Liu, Dong-Ting Dai, Qi Li, Wei-Wei Ma, Meng Zhao, Yun-He Xu|2020|Org.Lett.|22|1360|doi:10.1021/acs.orglett.9b04647
DOI: 10.5517/ccdc.csd.cc22k1mb
title: CCDC 1923011: Experimental Crystal Structure Determination

description: Related Article: M. Małecka, L. Chęcińska, J. Kusz, M. Biernacka, B. Kupcewicz|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|212|doi:10.1107/S2053229620001503
DOI: 10.5517/ccdc.csd.cc22k1nc
title: CCDC 1923012: Experimental Crystal Structure Determination

description: Related Article: M. Małecka, L. Chęcińska, J. Kusz, M. Biernacka, B. Kupcewicz|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|212|doi:10.1107/S2053229620001503
DOI: 10.5517/ccdc.csd.cc22k1qf
title: CCDC 1923014: Experimental Crystal Structure Determination

description: Related Article: M. Małecka, L. Chęcińska, J. Kusz, M. Biernacka, B. Kupcewicz|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|212|doi:10.1107/S2053229620001503
DOI: 10.5517/ccdc.csd.cc24g7kf
title: CCDC 1979894: Experimental Crystal Structure Determination

description: Related Article: K. Mambourg, L. Bodart, N. Tumanov, S. Lanners, J. Wouters|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|205|doi:10.1107/S2053229620000996
DOI: 10.5517/ccdc.csd.cc24j7tr
title: CCDC 1981824: Experimental Crystal Structure Determination

description: Related Article: M. Małecka, L. Chęcińska, J. Kusz, M. Biernacka, B. Kupcewicz|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|212|doi:10.1107/S2053229620001503
DOI: 10.5517/ccdc.csd.cc24k7pn
title: CCDC 1982781: Experimental Crystal Structure Determination

description: Related Article: Yu huinan|2020|CSD Communication|||
description: Related Article: Huinan Yu, Yang He, Yuting Wu, Yaowu He, Chao He, Hong Meng|2020|Organic Electronics|85|105787|doi:10.1016/j.orgel.2020.105787
DOI: 10.5517/ccdc.csd.cc24k7sr
title: CCDC 1982784: Experimental Crystal Structure Determination

description: Related Article: H. Kiran Kumar, H. S. Yathirajan, C. Harish Chinthal, S. Foro and C. Glidewell|2020|CSD Communication|||
DOI: 10.25318/1310046401-fra
title: Indicateurs de la santé, estimations pour une période de deux ans, régions métropolitaines de recensement

description: Indicateurs de la santé, estimations pour une période de deux ans, selon le groupe d'âge et le sexe, Canada, provinces, territoires, régions métropolitaines de recensement et zones d'influence.