cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rj9xvktjrw.1
title: Perception of AI and Human Collaboration

description: Research Hypothesis
The study hypothesizes that design students' perceptions of authorship in AI-assisted design vary depending on the degree of influence their original image prompts have on the final AI-generated outcomes. It aims to understand at what point students consider AI-generated images their own creation and how comfortable they are in collaborating with AI tools, giving credit to the AI where due.

Data Collection &Analysis
Data was gathered through a mixed-methods approach involving an AI-aided design workshop followed by a survey. Participants included second-year industrial design (ID) and interior architecture (IA) students. The workshop introduced the Vizcom AI tool, which students used to generate AI-assisted designs based on their studio project outcomes. The survey assessed students' familiarity with AI tools, perceptions of authorship, reasons for their perceptions, and comfort levels in co-designing with AI. The sample size was 30 students (12 ID, 18 IA). difference in familiarity level with AI tools (Q1), perception of authorship (Q2), reasons of perception of the puthorship (Q3), and comfort level of collaboration with ai (Q4) between ID and IA students. A Spearman's rank correlation coefficient can be calculated to assess the relationship between students' familiarity with AI tools (Q1) and their comfort levels in co-designing with AI (Q4). Textual analysis can be conducted to thematically analyze the responses from the open-ended question, Q5. 

Notable Findings

T-Test: The T-test results indicate that there is no statistically significant difference between ID and IA students in terms of their familiarity with AI tools, perception of authorship, reasons for their perception of authorship, and comfort level with collaborating with AI. 

Perception of Authorship: 33.3% of students considered AI-generated images as their own creation up to a 50% image prompt influence level. Significant thresholds for authorship were identified between 40% and 70% image prompt influence, with most students feeling a sense of ownership within this range.

Comfort with AI Collaboration: 46.4% of participants were comfortable or very comfortable collaborating with AI and might give credit to AI. A moderate positive correlation (rs=0.48) was found between familiarity with AI tools and comfort in co-designing with AI.

Reasons for Perceived Authorship: The primary reason cited was that the design was still based on the students' original research or findings (60%).

Implications for Future Research
The study's findings suggest a need for further research with a larger and more diverse sample. Exploring perceptions of more experienced designers and different design fields could provide a broader understanding of authorship in AI-assisted design. Future studies could also delve deeper into the reasons behind neutral attitudes towards AI collaboration and explore the impact of storytelling in enhancing AI-human collaboration.
DOI: 10.17632/dn97ttn73g.1
title: New evidence on selective recall

description: Data used in the article "New evidence on selective recall". Zip file includes data (in xlsx) and do-files for Stata.
DOI: 10.17632/td7h8w9s32.1
title: Deleting autotaxin in LysM+ myeloid cells impairs innate tumor immunity in models of metastatic melanoma

description: Western blot images of 
1) ATX protein in CD11b+ myeloid cells isolated from LysM-WT or LysM-KO mice
2) ATX protein expression in plasma of LysM-WT or LysM-KO mice
DOI: 10.17632/g7rhtwnn8m.1
title: Assessing food transition in Brazil with C and N isotopes

description: The main objective of this dataset is to use on investigating diet patterns among rural and urban populations of the Center-West, Northeast, and Amazon regions of Brazil through the carbon and nitrogen isotopic composition of fingernails. Fingernails were sampled in clusters encompassing a major city, town, and rural village. A total of 1952 fingernails were analyzed. Fingernails were clipped by donors using fingernail clippers. In the laboratory, samples were cleaned then weighed in small tin capsules before being isotopically analyzed for carbon and nitrogen. The overall mean d13C and d15N were -19.7±2.8‰ and 10.6±1.1‰, respectively. The present dataset might have many applications using bulk isotope interpretations despite the new methodologies (relied on both specific food items but also on specific tissue monomers), such as on human nutrition studies but especially in tracking human movements in forensic anthropology studies in the contemporary world. In this context, our dataset could be a good baseline for such studies in the Neotropics.
DOI: 10.17632/g7rhtwnn8m.2
title: Assessing food transition in Brazil with C and N isotopes

description: The main objective of this dataset is to use on investigating diet patterns among rural and urban populations of the Center-West, Northeast, and Amazon regions of Brazil through the carbon and nitrogen isotopic composition of fingernails. Fingernails were sampled in clusters encompassing a major city, town, and rural village. A total of 1952 fingernails were analyzed. Fingernails were clipped by donors using fingernail clippers. In the laboratory, samples were cleaned then weighed in small tin capsules before being isotopically analyzed for carbon and nitrogen. The overall mean d13C and d15N were -19.7±2.8‰ and 10.6±1.1‰, respectively. The present dataset might have many applications using bulk isotope interpretations despite the new methodologies (relied on both specific food items but also on specific tissue monomers), such as on human nutrition studies but especially in tracking human movements in forensic anthropology studies in the contemporary world. In this context, our dataset could be a good baseline for such studies in the Neotropics.
DOI: 10.17632/v7kw9ycccp.1
title: Non-intrusive indoor environmental data in two double-occupied offices

description: The dataset is derived from a longitudinal study conducted in two double-occupied offices at the Munich University of Applied Sciences. Focusing on occupancy detection and window state prediction, the study leverages an IoT sensory device placed desk-level near occupants. This dataset includes various indoor environmental metrics: Air temperature, CO2 concentration, indoor air quality, illuminance, relative humidity, and sound pressure level.  Ground truth occupancy data was recorded manually by occupants, while window status was relayed via an EnOcean-protocol-enabled contact. Detailed sensor information is presented in the linked article.
DOI: 10.17632/v7kw9ycccp.2
title: Non-intrusive indoor environmental data in two double-occupied offices

description: The dataset is derived from a longitudinal study conducted in two double-occupied offices at the Munich University of Applied Sciences. Focusing on occupancy detection and window state prediction, the study leverages an IoT sensory device placed desk-level near occupants. This dataset includes various indoor environmental metrics: Air temperature, CO2 concentration, indoor air quality, illuminance, relative humidity, and sound pressure level. Ground truth occupancy data was recorded manually by occupants, while window status was relayed via an EnOcean-protocol-enabled contact. Detailed sensor information is presented in the linked article.
DOI: 10.17632/w6wkf647s3.2
title: Data for: Nanoparticles alter the nature and strength of intraploidy and interploidy interactions in plants

description: Engineered nanoparticles have profound impacts on organisms, yet there is limited understanding of how nanoparticle exposure shapes species interactions that are key for natural community dynamics. By growing plants of the same (intraploidy) and different ploidy levels (interploidy) of Fragaria in axenic microcosms, we examined the influence of nanoparticles on species interactions in polyploid and diploid plants. We found that, under copper oxide (CuO) nanoparticle exposure, polyploids experienced reduced competition when growing with polyploids (the effect of polyploids on polyploids, RII8x,8x), and a shift towards facilitation when growing with diploids (the effect of diploids on polyploids, RII8x,2x). This reduction in competitive interactions in polyploids, in line with the stress gradient hypothesis, was primarily caused by nanoscale effects, because the strength of competitive interactions (RII8x,8x and RII8x,2x) remained relatively unchanged under CuO bulk particles compared to the control. In contrast, diploids experienced a shift from facilitation (RII2x,2x and RII2x,8x) under the control to neutrality under CuO nanoparticle exposure, with a similar reduction in facilitation observed with both nanoparticles and bulk particles. These findings underscore ploidy specific interaction dynamics and the need of considering species interactions when predicting organismal responses to nanoparticle pollution in ecological communities.
DOI: 10.17632/w6wkf647s3.3
title: Data for: Nanoparticles alter the nature and strength of intraploidy and interploidy interactions in plants

description: Engineered nanoparticles have profound impacts on organisms, yet there is limited understanding of how nanoparticle exposure shapes species interactions that are key for natural community dynamics. By growing plants of the same (intraploidy) and different ploidy levels (interploidy) of Fragaria in axenic microcosms, we examined the influence of nanoparticles on species interactions in polyploid and diploid plants. Under copper oxide (CuO) nanoparticle exposure, polyploids experienced reduced competition and a shift towards facilitation, when growing with both polyploids (the effect of polyploids on polyploids measured by the relative interaction index, RII8x,8x) and diploids (the effect of diploids on polyploids, RII8x,2x). This reduction in competitive interactions in polyploids, in line with the stress gradient hypothesis, was primarily caused by nanoscale effects. In contrast, the strength of competitive interactions (RII8x,8x and RII8x,2x) increased under CuO bulk particles compared to control conditions. Different from polyploids, diploids experienced neutral interactions (RII2x,2x and RII2x,8x) under both nanoparticles and bulk particles. These findings underscore ploidy specific interaction dynamics and the need of considering species interactions when predicting organismal responses to nanoparticle pollution in ecological communities.
DOI: 10.17632/fmpf798zcn.1
title: Comprehensive Herb Species Dataset: Leveraging Deep Learning for Accurate Identification and Classification

description: 1. Herbs hold significant value across various sectors, including traditional medicine, culinary arts, and cosmetics, due to their unique properties and health benefits. However, accurately identifying different herb species can be challenging. The Herb Species Dataset is designed to aid researchers, horticulturists, and machine learning professionals in identifying and categorizing various herb species. This dataset comprises high-resolution images of herb leaves, showcasing both different species and various conditions. It includes several common herb species such as Azadirachta indica (Neem), Centella Asiatica (Gotu Kola), Coriandrum sativum (Coriander), Ocimum sanctum (Holy Basil), and Cinnamomum tamala (Indian Bay Leaf). Extensive annotations are provided for each image, offering detailed information regarding the species and condition of the leaves, thus enabling accurate and dependable model training and validation. Furthermore, the dataset is enhanced with metadata documenting the geographical locations and environmental conditions at the time of image capture. This contextual data can improve the precision of predictive models and is essential for comprehending the factors influencing herb identification.
2. These days, deep learning and computer vision techniques hold significant promise for handling classification and detection tasks, including herb species identification. Leveraging these technologies can significantly improve the accuracy and efficiency of such tasks.
3. A thorough dataset for herb species identification is presented to develop deep learning methods. This dataset's classifications were created in cooperation with a subject matter expert from a botanical institute. The expert's involvement ensures that the classifications are accurate and reliable, providing a solid foundation for model development.
4. A total of 2,500 images of the five herb species were gathered from various locations. To enhance the number of data points, 30,000 augmented images were created from these original images by applying flipping, width shifting, height shifting, brightening, rotating, shearing, and zooming. This extensive augmentation process ensures that the dataset is robust and capable of supporting the development of highly accurate predictive models.
DOI: 10.17632/rsrtfc92z2.1
title: SDATA_PLOS BIOLOGY_GT

description: S1-S8 data for PLOS BIOLOGY
DOI: 10.17632/6g373t298v.1
title: Attributions of Intent and Moral Responsibility to AI Agents - sound files

description: Sound files used in Studies 1, 2a-c.
DOI: 10.17632/59f3j3dftw.1
title: Estrategia de generación de insumos para la actualización de la política pública de salud mental de la subregión centro del Cauca

description: Esta estrategia se presenta en el marco del proyecto de investigación Desarrollo de una estrategia de CTeI para la atención primaria de necesidades en salud mental derivadas de la emergencia causada por el COVID-19 en el departamento del Cauca., financiado por el Sistema General de Regalías, con código 2020000100754. 
Surge como producto de la articulación entre la Gobernación del Cauca y la Universidad Cooperativa de Colombia, campus Popayán, a partir del reconocimiento de la pertinencia de participar en la actualización de la Política Pública de Salud Mental, que priorizó en su diagnóstico inicial problemáticas relacionadas con el consumo de sustancias psicoactivas, la violencia intrafamiliar, las violencias basadas en género, trastornos mentales y las afectaciones por conflicto armado.
DOI: 10.17632/k7fs8hh7vn.1
title: Type 2 diabetes - Educational program in Primary Care

description: We have included four files in SPSS format. April 24 paired refers to patients' data. The other files refers to data obtained from healthcare professionals.
DOI: 10.17632/wrgvcyv6gj.1
title: Published Journal of Studies in Islam and Psychology; No. 20

description: The philosophy of psychology with a critical outlook from the perspective of Islam;
 The uses of psychology in the service of the Islamic society and its needs;
 The formation of psychology in the Islamic society;
 Psychological analysis of Islamic concepts in areas such as:
 1. Anthropology, such as: banned, impatience, hasty, captious, pious, faithful;
 2. Belief, such as: God, resurrection, Imamate, intercession, Paradise, Hell and ...;
 3. Value, such as: repentance, trust, self-esteem, mental relaxation, grief, fear;
 4. Practical instructions of Islam, such as: qisas (retaliation), prayers, inheritance, hajj, khums (one fifth);
 Study of psychological findings from Islamic perspective in terms of critique, confirmation and completion, alternative presentation, presentation of new theory;
DOI: 10.5281/zenodo.13141827
title: Green Transition Monitoring Framework for WB (first draft)

description: This dataset comprises a set of indicators for measuring or assessing green transition in Western Balkan countries, based on the research cases developed through the GreenFORCE project. The indicators will be validated with local stakeholders and re-published as a Report on Monitoring Green Transition in WB.
DOI: 10.5281/zenodo.13141829
title: Green Transition Monitoring Framework for WB (first draft)

description: This dataset comprises a set of indicators for measuring or assessing green transition in Western Balkan countries, based on the research cases developed through the GreenFORCE project. The indicators will be validated with local stakeholders and re-published as a Report on Monitoring Green Transition in WB.
DOI: 10.25625/j2n7iu/adwz7z
title: Auswärtige.twb

description: :unav
DOI: 10.25625/j2n7iu/fpcmcb
title: wm_mit_awm_vergangenheit.tab

description: :unav
DOI: 10.25625/j2n7iu/mk6bmd
title: AWiMi.csv

description: :unav
DOI: 10.25625/j2n7iu/amzf7g
title: 603_Wissenschaftliche_Mitgliedschaften_der_MPG_(1984_-_2005).tab

description: :unav
DOI: 10.25625/j2n7iu/cyouko
title: OrteGeobereiningt.csv

description: :unav
DOI: 10.25625/j2n7iu/4ahvo8
title: requirements.txt

description: :unav
DOI: 10.25625/j2n7iu/ibp8e7
title: fetchCSVfromDatabase.py

description: :unav
DOI: 10.25625/j2n7iu/g01xyy
title: Auswärtige.ipynb

description: :unav
DOI: 10.25625/j2n7iu/2ndgei
title: Auswärtige_wissenschaftliche_Mitgliedschaften_der_MPG_(1984_-_2005)_neu.numbers

description: :unav
DOI: 10.25625/j2n7iu/voflzy
title: Tabelle 3_wm_mit_awm_vergangenheit.xlsx

description: :unav
DOI: 10.25625/j2n7iu
title: Auswertungen zu den Auswärtigen Wissenschaftlichen Mitgliedern

description: Auswertungen zu den Auswärtigen Wissenschaftlichen Mitgliedern
DOI: 10.25625/j2n7iu/a5dr7h
title: Tabelle 4_KWG_Vergangenheit.xlsx

description: :unav
DOI: 10.5281/zenodo.13140594
title: SPINS

description: The SPINS dataset is a Visual Odometry and SLAM benchmark to evaluate the performance in scenes that are characterized by a large quantity of non-lambertian surfaces and reflections.
DOI: 10.5281/zenodo.13140595
title: SPINS

description: The SPINS dataset is a Visual Odometry and SLAM benchmark to evaluate the performance in scenes that are characterized by a large quantity of non-lambertian surfaces and reflections.
DOI: 10.15468/dl.xcrngp
title: Occurrence Download

description: A dataset listing the 254829 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 254829 records were derived from 27278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043156-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jts9ge
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Indicator maculatus G.R.Gray, 1847",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 122 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039090-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10777624
title: Replication_MotivatedSkepticism
DOI: 10.5281/zenodo.10777625
title: Replication_MotivatedSkepticism
DOI: 10.15468/dl.5sa9ey
title: Occurrence Download

description: A dataset listing the 1302214071 species recorded in GBIF matching the query:
{ }

 The dataset's 1302214071 records were derived from 23580 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001456-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dtm-60b-qm7
title: Rubus wimmerianus (Sudre) Sprib.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pxf-vaj-gkq
title: Litsea monopetala (Roxb.) Pers.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wjg-nk6-5hn
title: Rubus argenteus C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccqg2t1
title: CCDC 668943: Experimental Crystal Structure Determination

description: Related Article: I.Bhattacharyya, S.Ganguly, B.K.Panda, A.Chakravorty|2008|J.Chem.Sci.(Bangalore,India)|120|87|doi:10.1007/s12039-008-0011-6
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/ccqjbcx
title: CCDC 671099: Experimental Crystal Structure Determination

description: Related Article: T.Arumuganathan, A.Srinivasarao, T.V.Kumar, S.K.Das|2008|J.Chem.Sci.(Bangalore,India)|120|95|doi:10.1007/s12039-008-0012-5
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: 10.3535/965-0ca-ytg
title: Tetradenia furfuracea Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pn9-rd3-j42
title: Rubus juennensis Leute & W. Maurer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zmn-emj-ll9
title: Rubus braeuckeri G. Braun

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccqjdsd
title: CCDC 671174: Experimental Crystal Structure Determination

description: Related Article: R.Murugavel, S.Kuppuswamy|2008|J.Chem.Sci.(Bangalore,India)|120|131|doi:10.1007/s12039-008-0015-2
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/ccqjdtf
title: CCDC 671175: Experimental Crystal Structure Determination

description: Related Article: R.Murugavel, S.Kuppuswamy|2008|J.Chem.Sci.(Bangalore,India)|120|131|doi:10.1007/s12039-008-0015-2
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: 10.3535/f7c-e4x-k9c
title: Tetradenia foliosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n9p-ljw-2f7
title: Laurus dysodantha Ruiz & Pav.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r7v-b5d-t2y
title: Laurus obtusifolia Roxb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccp7cbl
title: CCDC 632689: Experimental Crystal Structure Determination

description: Related Article: Wei Liu, Xia Li, Maoping Song, Yangjie Wu|2007|Sens.Actuators,B|126|609|doi:10.1016/j.snb.2007.04.024
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.