cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14913377
title: Differentiation of Self, Self-Regulation and Well-being: An Empirical Investigation in Middle Adulthood

description: Aim of the study: This data set was collected to explore the relationships between differentiation of self, self-regulation (including self-control and emotion regulation difficulty) and well-being scores in Turkey. 

Sample:The sample (N=351) consisted of middle-aged adults(45 to 65 years).

Measurement tools: DSR-I (Turkish version) was used to measure overall differentiation level. EC, ER, IP and F variables in data set represent 4 categories of differentiation of self, original scale was developed by  Skowron & Schmitt, (2003), adapted to Turkish by Işık & Bulduk (2015).

BSCS (Turkish version) was used to measure overall self-control skills,original scale was developed by Tangney et al. (2004), adapted to Turkish by Coşkan (2010).

DERS-16 (Turkish version) was used to assess difficulties in emotion regulation. Original scale was develoepd by Bjureberg et al. (2016), adapted to Turkish by Yiğit & Güzey Yiğit (2019)

SPANEB (Turkish version) was used as a measure of subjective well-being and FS (Turkish version) was used to measure psychological well-being. Both scales were developed by Diener et al. (2009) and adapted to Turkish by Telef (2015 and 2013 respectively).

All data was colleced by online survey, transfered to SPSS version 22
DOI: 10.5281/zenodo.14913378
title: Differentiation of Self, Self-Regulation and Well-being: An Empirical Investigation in Middle Adulthood

description: Aim of the study: This data set was collected to explore the relationships between differentiation of self, self-regulation (including self-control and emotion regulation difficulty) and well-being scores in Turkey. 

Sample:The sample (N=351) consisted of middle-aged adults(45 to 65 years).

Measurement tools: DSR-I (Turkish version) was used to measure overall differentiation level. EC, ER, IP and F variables in data set represent 4 categories of differentiation of self, original scale was developed by  Skowron & Schmitt, (2003), adapted to Turkish by Işık & Bulduk (2015).

BSCS (Turkish version) was used to measure overall self-control skills,original scale was developed by Tangney et al. (2004), adapted to Turkish by Coşkan (2010).

DERS-16 (Turkish version) was used to assess difficulties in emotion regulation. Original scale was develoepd by Bjureberg et al. (2016), adapted to Turkish by Yiğit & Güzey Yiğit (2019)

SPANEB (Turkish version) was used as a measure of subjective well-being and FS (Turkish version) was used to measure psychological well-being. Both scales were developed by Diener et al. (2009) and adapted to Turkish by Telef (2015 and 2013 respectively).

All data was colleced by online survey, transfered to SPSS version 22
DOI: 10.15468/dl.nz79dj
title: Occurrence Download

description: A dataset containing 29464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 1970",
 "RecordedBy is one of (A Browning, A Humble Thing, aanth, Aaron Charles, aarongunnar, aaronstorm, abayn, acarnold88, Adamthedeertracker, adriskill, aegolius99, afahawkins, afriendoffairies, AG, Aidan Craner, Aidan Walsh, aidantonidandel, airsickspace, AJ_Explorers, akltt, Alan Kwok (King Lun), Ada Tai (Ah Heung), alan2361, alandextrase, alejandrokmdza, Alex Heffernan, Alex Tey, Alexa Howansky, Alexander Skevington, Alexandra Birch, Alexandra Laking, alexelliott40, Alexis Desmarais, alexpantis, alexparry, Alicia, Alina Martin, Alinardo, Alison, Alison Young, Allan Harris, Allanah Vokes, alyalkbe0044, Alyson Karson, Alyssa W, amandasipe, amberlabelledvm, ambersunset, Ana B. Locci, Anders Holder, andewewlendehypolentrrl)",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 29464 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002200-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58za7y
title: Occurrence Download

description: A dataset containing 15877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ectinosomatidae"
 ]
}

 The dataset includes 15877 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002202-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3am5c
title: Occurrence Download

description: A dataset containing 746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Ursus americanus Pallas, 1780",
 "Year 2015-2025"
 ]
}

 The dataset includes 746 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002203-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7cq7mm
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "StateProvince is tocantins",
 "TaxonKey is Lophornis gouldii (R.Lesson, 1832)"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002204-250221090833381/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.28466192
title: Comprehensive sampling from mitochondrial genomes substantiates the Neoproterozoic origin of land plants

description: To increase and balance taxon sampling of early-diverging angiospermae, we sequenced the mitochondrial genomes of <i>Brasenia schreberi</i>, <i>Euryale ferox</i>, <i>Kadsura longipedunculata</i>, and <i>Illicium verum</i>. To assemble and annotate the 16 mitochondrial genomes, we used the Hybpiper pipeline (V1.3) (https://github.com/mossmatters/HybPiper) and selected 19 high-quality mitochondrial genomes with their protein-coding genes serving as reference bait sequences, as shown here: <b>Angiosperm_bait.fa</b>.
DOI: 10.6084/m9.figshare.28466192.v1
title: Comprehensive sampling from mitochondrial genomes substantiates the Neoproterozoic origin of land plants

description: To increase and balance taxon sampling of early-diverging angiospermae, we sequenced the mitochondrial genomes of <i>Brasenia schreberi</i>, <i>Euryale ferox</i>, <i>Kadsura longipedunculata</i>, and <i>Illicium verum</i>. To assemble and annotate the 16 mitochondrial genomes, we used the Hybpiper pipeline (V1.3) (https://github.com/mossmatters/HybPiper) and selected 19 high-quality mitochondrial genomes with their protein-coding genes serving as reference bait sequences, as shown here: <b>Angiosperm_bait.fa</b>.
DOI: 10.15468/dl.3cx4k9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "StateProvince is tocantins",
 "TaxonKey is Lophornis magnificus (Vieillot, 1817)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002207-250221090833381/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/10833633
title: Iron alloys dataset
DOI: 10.6084/m9.figshare.28466180
title: Data Calculations RevA 2025.02.23.xlsx

description: <b>Abstract: </b>The climate emergency calls for carbon drawdown to be applied at scale to offset the ‘hard to abate’ emission reductions that threaten Net Zero. The use of biogenic materials in construction promises benefits in terms of low embodied carbon (EC), but timber harvested today only sequestered atmospheric carbon (AC) in the <i>past</i>. A reduction in <i>future</i> AC concentration is only possible from today, and harvesting timber harms a forest’s ability to sequester carbon in the future, unless a level of afforestation can be guaranteed. Current Whole Life Carbon (WLC) assessment methodologies confuse the perceived value of past sequestration, making it seem equivalent to EC, or implying a guarantee of future AC. This study seeks to connect these two opposing elements by finding a forest management ‘success’ value (F<sub>S</sub>) at which harvesting losses are outweighed by future sequestration, and a net benefit (in future AC terms) can be justifiably claimed. The research proposes a measure of forestry success (a standard established in terms of net sequestration per hectare) and cumulatively offsets losses through harvest against additional drawdown achieved in a well-managed forest. The results show that current boreal forest management regimes do not guarantee a net benefit, but that only modest improvements from a contemporary baseline would be required to see a net benefit by 2050. Recommendations are made to establish a carbon-focused standard for forestry management to replace current binary sustainability accreditations.
DOI: 10.15468/dl.keycr2
title: Occurrence Download

description: A dataset containing 35151640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil"
 ]
}

 The dataset includes 35151640 records from 4137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002206-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nnjynbjp97
title: The Dynamics of Customer Purchase Intention: An Investigation on Influence of Digital Marketing, Social Media Adoption and Customer Engagement on Brand Performance: The Moderating Role of Service Quality

description: The Dynamics of Customer Purchase Intention: Data Set
DOI: 10.17632/56fpk5p5cf
title: Differential hydrographic warming pattern of the Central and Southwest Indian Ridges

description: Temperature and salinity profiles collected from the Southwest and Central Indian Ridges using CTD.
DOI: 10.17632/nnjynbjp97.1
title: The Dynamics of Customer Purchase Intention: An Investigation on Influence of Digital Marketing, Social Media Adoption and Customer Engagement on Brand Performance: The Moderating Role of Service Quality

description: The Dynamics of Customer Purchase Intention: Data Set
DOI: 10.17632/56fpk5p5cf.1
title: Differential hydrographic warming pattern of the Central and Southwest Indian Ridges

description: Temperature and salinity profiles collected from the Southwest and Central Indian Ridges using CTD.
DOI: 10.17632/yx6pvbdpn6
title: AI text detection in dentistry

description: This dataset contains the derived data and analysis files used to benchmark six AI-content detectors on a corpus of 120 full-length dentistry manuscripts. 

Overview.
This dataset contains the detector scores used in the International Dental Journal submission by Garcovich et al. (2025). It includes per-document outputs (range 0–1) for six AI-content detectors applied to 120 full-length dentistry manuscripts.

File.
Resultados detectores.xlsx — one workbook with 4 sheets (30 documents per sheet):

CONTROLLO = Human-written articles (n=30)

GPT 4.5 = GPT-4.5 generated texts (n=30)

GPT4o = GPT-4o generated texts (n=30)

DEEPSEEK = DeepSeek-R2 generated texts (n=30)

Columns (each sheet).
[ID], Aidetector, Copyleaks, DetectingAI, GPTZero, Originality, Turnitin.
Values are reported exactly as returned by each tool on a 0–1 scale (not percentages). Higher values generally indicate a higher likelihood of “AI-generated” according to each detector’s own scale; no additional thresholding has been applied in this file.

Notes.

No copyrighted full texts are shared; only derived numeric outputs.

Detector versions and run dates are available upon request / will be added in a later version.

See manuscript for methodological details (ROC/AUC, thresholds and analyses).
DOI: 10.17632/v38jtwkfn5
title: O&D_OpenDataset

description: In this document, we present the data collected and the analysis conducted to examine the impact of architectural boundaries (ceiling height and curvature) on participants’ aesthetic experience dimensions (familiarity, excitement, and fascination) in virtual exhibition spaces. Further, we present the analysis to examine the relationship between emotional state and aesthetic experience, education type and aesthetic experience, and presence level and aesthetic experience. The document encompasses detailed results tables, providing further insights into our statistical analyses and findings. The dataset ensures transparency and facilitates reproducibility for further research.
DOI: 10.17632/yx6pvbdpn6.1
title: AI text detection in dentistry

description: This dataset contains the derived data and analysis files used to benchmark six AI-content detectors on a corpus of 120 full-length dentistry manuscripts. 

Overview.
This dataset contains the detector scores used in the International Dental Journal submission by Garcovich et al. (2025). It includes per-document outputs (range 0–1) for six AI-content detectors applied to 120 full-length dentistry manuscripts.

File.
Resultados detectores.xlsx — one workbook with 4 sheets (30 documents per sheet):

CONTROLLO = Human-written articles (n=30)

GPT 4.5 = GPT-4.5 generated texts (n=30)

GPT4o = GPT-4o generated texts (n=30)

DEEPSEEK = DeepSeek-R2 generated texts (n=30)

Columns (each sheet).
[ID], Aidetector, Copyleaks, DetectingAI, GPTZero, Originality, Turnitin.
Values are reported exactly as returned by each tool on a 0–1 scale (not percentages). Higher values generally indicate a higher likelihood of “AI-generated” according to each detector’s own scale; no additional thresholding has been applied in this file.

Notes.

No copyrighted full texts are shared; only derived numeric outputs.

Detector versions and run dates are available upon request / will be added in a later version.

See manuscript for methodological details (ROC/AUC, thresholds and analyses).
DOI: 10.17632/s29d6r7xk2
title: Statistical analyses of the rhizospheric soil properties of Atlas cedar

description: The data describe the statistical relationships between the physicochemical parameters of rhizospheric soils of Atlas cedar in two study areas in the Chréa region, northern Algeria, after the wildfires of 2021
DOI: 10.17632/v38jtwkfn5.1
title: O&D_OpenDataset

description: In this document, we present the data collected and the analysis conducted to examine the impact of architectural boundaries (ceiling height and curvature) on participants’ aesthetic experience dimensions (familiarity, excitement, and fascination) in virtual exhibition spaces. Further, we present the analysis to examine the relationship between emotional state and aesthetic experience, education type and aesthetic experience, and presence level and aesthetic experience. The document encompasses detailed results tables, providing further insights into our statistical analyses and findings. The dataset ensures transparency and facilitates reproducibility for further research.
DOI: 10.17632/s29d6r7xk2.1
title: Statistical analyses of the rhizospheric soil properties of Atlas cedar

description: The data describe the statistical relationships between the physicochemical parameters of rhizospheric soils of Atlas cedar in two study areas in the Chréa region, northern Algeria, after the wildfires of 2021
DOI: 10.6084/m9.figshare.30994465
title: Code and dataset for paper: Neural representation of action symbols in primate frontal cortex (Tian et al., Nature 2026)

description: Code and dataset for paper: Neural representation of action symbols in primate frontal cortex (Tian et al., Nature 2026)
DOI: 10.6084/m9.figshare.30994465.v1
title: Code and dataset for paper: Neural representation of action symbols in primate frontal cortex (Tian et al., Nature 2026)

description: Code and dataset for paper: Neural representation of action symbols in primate frontal cortex (Tian et al., Nature 2026)
DOI: 10.5281/zenodo.18142644
title: Supplementary Material 1 for article " Ex-situ growth protocol for the invasive macrophyte Pontederia crassipes"

description: This dataset contains information about biomass, the relative growth rate of plants and the salinity of Pontederia crassipes. It also contains information about water parameters and nutrient uptake based on a mesocosm experiment.
DOI: 10.5281/zenodo.18142645
title: Supplementary Material 1 for article " Ex-situ growth protocol for the invasive macrophyte Pontederia crassipes"

description: This dataset contains information about biomass, the relative growth rate of plants and the salinity of Pontederia crassipes. It also contains information about water parameters and nutrient uptake based on a mesocosm experiment.
DOI: 10.15468/dl.8xhu3q
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea dewevrei"
 ]
}

 The dataset includes 125 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072200-251120083545085/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.29481929.v1
title: Sex-specific among- and within-individual correlations between limits to energy budget in a wild rodent

description: Data and codes for publication on a sex-specific among- and within-individual correlations between limits to energy budget in a wild rodent
DOI: 10.6084/m9.figshare.30993739
title: Eco-phylogenomic Diversity of Marine Carbon Fixing Prokaryotes: Table_S01_Metagenomes_Metadata

description: The table displayed the metadata of the metagenomes used in the study.
DOI: 10.6084/m9.figshare.30993739.v1
title: Eco-phylogenomic Diversity of Marine Carbon Fixing Prokaryotes: Table_S01_Metagenomes_Metadata

description: The table displayed the metadata of the metagenomes used in the study.
DOI: 10.57841/casdc.0006758
title: 多功能分子材料的高效合成-酯直接转金属化实现高效 Suzuki-Miyaura 聚合反应论文数据文件
DOI: 10.57841/casdc.0006759
title: 分子内非共价相互作用驱动非稠环电子受体的顺反构象调控论文数据集
DOI: 10.57841/casdc.0006760
title: 共轭嵌段共聚物用于提升倒置钙钛矿太阳能电池的电荷提取效率和运行稳定性论文数据集
DOI: 10.57841/casdc.0006761
title: 具有生物级时间动态特性的事件驱动视网膜形态光电二极管论文数据集
DOI: 10.15468/dl.edadac
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Lasioglossum busckiellum"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072202-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0006762
title: 醇加工n型全高分子热电论文数据集
DOI: 10.5281/zenodo.18142670
title: TSM-136D Reference Parameter Grid + Operational Metrics Toolkit

description: Dieses Dataset stellt ein reproduzierbares Referenzpaket (TSM-136D) für die Regime-Kartierung und Stabilitätsbewertung in getriebenen, rückgekoppelten oder KI-optimierten Experiment- und Simulationssystemen bereit. Der Schwerpunkt liegt auf einer operationalen Zwischenebene: Rohdaten/Parameterläufe werden in vergleichbare Kennzahlen und Regime-/Zonenlabels überführt, um Robustheit, Drift und Übergänge zwischen Betriebszuständen konsistent zu dokumentieren und auszuwerten.

Im Paket enthalten sind:





ein Parameter-Grid (100×100) als Referenzdatensatz sowie abgeleitete Tabellen (u. a. Sensitivitäten, Zonen/Regime, Schätzer/Indikatoren),




empfohlene Zonen-/Parameterkonfigurationen (Baseline vs. Recommended),




ein Methodik- und Hauptdokument (deutsch) mit Herleitung, Interpretation und Reproduzierbarkeitshinweisen,




minimaler Python-Code und Beispielskripte, um Kennzahlen/Zonenlogik nachzuvollziehen und auf eigene Runs anzuwenden,




Integritätsprüfungen (Checksums) und eine Repro-Checkliste.



Ziel & Mehrwert:Das Dataset soll Forschenden helfen, (1) Regime-“Inseln” (stabile Zeit-/Phasenfenster) in Parameterkarten sichtbar zu machen und (2) diese Kennzahlen als erklärbare Constraints/Rewards in Optimierungs- bzw. Control-Loops einzusetzen – mit Fokus auf Vergleichbarkeit, Auditierbarkeit und Robustheit statt auf theoretische Vollständigkeit.

Scope & Nicht-Behauptungen:Dieses Dataset ist als Methodik-/Referenzartefakt gedacht. Es beansprucht nicht, neue physikalische Grundgesetze zu etablieren oder experimentelle Befunde „zu erklären“, sondern bietet eine standardisierte Auswertungs- und Regime-Beschreibungs-Schicht, die unabhängige Reproduktion und methodische Tests erleichtert.

Reproduzierbarkeit:Das Paket enthält requirements.txt, eine Repro-Checkliste sowie Beispielaufrufe, um zentrale Tabellen und Abbildungen aus den Daten zu rekonstruieren bzw. die Pipeline auf eigene Daten zu übertragen.

Lizenzierung (Split License):





Daten & Dokumentation: Creative Commons CC-BY 4.0




Code: Apache License 2.0Details siehe LICENSE.txt und LICENSES/.
DOI: 10.5281/zenodo.18142669
title: TSM-136D Reference Parameter Grid + Operational Metrics Toolkit

description: Dieses Dataset stellt ein reproduzierbares Referenzpaket (TSM-136D) für die Regime-Kartierung und Stabilitätsbewertung in getriebenen, rückgekoppelten oder KI-optimierten Experiment- und Simulationssystemen bereit. Der Schwerpunkt liegt auf einer operationalen Zwischenebene: Rohdaten/Parameterläufe werden in vergleichbare Kennzahlen und Regime-/Zonenlabels überführt, um Robustheit, Drift und Übergänge zwischen Betriebszuständen konsistent zu dokumentieren und auszuwerten.

Im Paket enthalten sind:





ein Parameter-Grid (100×100) als Referenzdatensatz sowie abgeleitete Tabellen (u. a. Sensitivitäten, Zonen/Regime, Schätzer/Indikatoren),




empfohlene Zonen-/Parameterkonfigurationen (Baseline vs. Recommended),




ein Methodik- und Hauptdokument (deutsch) mit Herleitung, Interpretation und Reproduzierbarkeitshinweisen,




minimaler Python-Code und Beispielskripte, um Kennzahlen/Zonenlogik nachzuvollziehen und auf eigene Runs anzuwenden,




Integritätsprüfungen (Checksums) und eine Repro-Checkliste.



Ziel & Mehrwert:Das Dataset soll Forschenden helfen, (1) Regime-“Inseln” (stabile Zeit-/Phasenfenster) in Parameterkarten sichtbar zu machen und (2) diese Kennzahlen als erklärbare Constraints/Rewards in Optimierungs- bzw. Control-Loops einzusetzen – mit Fokus auf Vergleichbarkeit, Auditierbarkeit und Robustheit statt auf theoretische Vollständigkeit.

Scope & Nicht-Behauptungen:Dieses Dataset ist als Methodik-/Referenzartefakt gedacht. Es beansprucht nicht, neue physikalische Grundgesetze zu etablieren oder experimentelle Befunde „zu erklären“, sondern bietet eine standardisierte Auswertungs- und Regime-Beschreibungs-Schicht, die unabhängige Reproduktion und methodische Tests erleichtert.

Reproduzierbarkeit:Das Paket enthält requirements.txt, eine Repro-Checkliste sowie Beispielaufrufe, um zentrale Tabellen und Abbildungen aus den Daten zu rekonstruieren bzw. die Pipeline auf eigene Daten zu übertragen.

Lizenzierung (Split License):





Daten & Dokumentation: Creative Commons CC-BY 4.0




Code: Apache License 2.0Details siehe LICENSE.txt und LICENSES/.
DOI: 10.57841/casdc.0006763
title: 一种用于红光选择性有机光电探测器的n型有机硼聚合物论文数据集
DOI: 10.57841/casdc.0006764
title: 高可拉伸和导电的稳定n型弹性体论文数据集
DOI: 10.57841/casdc.0006765
title: 纳米限域效应提高了有机光探测器的延展性和机械稳定性论文数据集
DOI: 10.57841/casdc.0006766
title: 在大幅度及循环机械形变下表现出高度稳定半导体性能的聚合物半导体共混体系论文数据集