cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2jlq73
title: CCDC 2341685: Experimental Crystal Structure Determination

description: Related Article: QuanQing Xu|2024|CSD Communication|||
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: 10.5281/zenodo.12665807
title: STEGO.R directory for video tutorial.

description: This is the unprocessed example project directory used for STEP 1 to 3. 

 

STEP 4 will explore a range of datasets from V2 of the T cell Atlas.
DOI: 10.5281/zenodo.12665808
title: STEGO.R directory for video tutorial.

description: This is the unprocessed example project directory used for STEP 1 to 3. 

 

STEP 4 will explore a range of datasets from V2 of the T cell Atlas.
DOI: 10.6084/m9.figshare.26190968.v1
title: <b>DISPONIBILIDAD HÍDRICA CON ESCENARIOS DE CAMBIO CLIMÁTICO EN LA UNIDAD HIDROGRÁFICA LOCUMBA</b>

description: El estudio hidrológico desarrollado en la Autoridad Nacional del Agua - Perú, busca realizar las acciones necesarias para un aprovechamiento hídrico sostenible en ese contexto, se presenta el estudio hidrológico realizado para las cuencas de Locumba y Sama en el departamento de Tacna, se ha utilizado la herramienta WEAP para la gestión de los recursos hídricos.
DOI: 10.5281/zenodo.12665842
title: Measuring exposure of agriculture to observed temperature change

description: The dataset disseminates regional indicators that link observed temperature change and agricultural statistics, connecting NASA-GISS and FAOSTAT data for mean annual temperature change on land with statistics of population, agricultural land use, crop and livestock production and gross economic value by country, over the time series 1961-2023.
DOI: 10.5281/zenodo.11926389
title: Disulfide Bond Replacement with Non-Reducible Side Chain to Tail Macrolactamization for the Development of Potent and Selective CXCR4 Peptide Antagonists Endowed with Flanking Binding Sites

description: The present study describes a small library of peptides derived from a potent and selective CXCR4 antagonist (3), wherein the native disulfide bond is replaced using a side-chain to tail macrolactamization technique to vary ring size and amino acid composition. The peptides were preliminary assessed for their ability to interfere with the interaction between the receptor and anti-CXCR4 PE-conjugated antibody clone 12G5. Two promising candidates (13 and 17) were identified and further evaluated in a 125I-CXCL12 competition binding assay, exhibiting IC50 in the low-nanomolar range. Furthermore, both candidates displayed high selectivity towards CXCR4 with respect to the cognate receptor CXCR7, ability to block CXCL12-dependent cancer cell migration, and receptor internalization, albeit at a higher concentration compared to 3. Molecular modeling studies on 13 and 17 produced a theoretical model that may serve as a guide for future modifications, aiding in the development of analogs with improved affinity. Finally, the study provides valuable insights into developing therapeutic agents targeting CXCR4-mediated processes, demonstrating the adaptability of our lead peptide 3 to alternative cyclization approaches and offering prospects for comprehensive investigations into the receptor region's interaction with its C-terminal region.
DOI: 10.15468/dl.se5tuq
title: Occurrence Download

description: A dataset containing 8820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Poecilia sphenops Valenciennes, 1846"
 ]
}

 The dataset includes 8820 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013185-240626123714530/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/7742783
title: Orange Infection Mask Dataset
DOI: 10.15468/dl.yghwhg
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Tanzania, United Republic of, Kenya)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Drimys brasiliensis Miers, Podocarpus latifolius (Thunb.) R.Br. ex Mirb., Ocotea usambarensis Engl.)",
 "Year 1990-2024"
 ]
}

 The dataset includes 137 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013186-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quwnk5
title: Occurrence Download

description: A dataset containing 2284 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo de la población de la guacamaya verde en la Reserva de la Biosfera Tehuacán-Cuicatlán"
 ]
}

 The dataset includes 2284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013187-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9j384h
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Strumigenys Smith, 1860"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013188-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12665354
title: Data from: Evaluating Window Size Effects on Univariate Time Series Forecasting with Machine Learning

description: In the realm of time series prediction modeling, the window size (w) is a critical hyperparameter that determines the number of time units included in each example provided to a learning model. This hyperparameter is crucial because it allows the learning model to recognize both long-term and short-term trends, as well as seasonal patterns, while reducing sensitivity to random noise. This study aims to elucidate the impact of window size on the performance of machine learning algorithms in univariate time series forecasting tasks. To achieve this, we employed 40 time series from two different domains, conducting experiments with varying window sizes using four types of machine learning algorithms: Bagging, Boosting, Stacking, and a Recurrent Neural Network (RNN) architecture. The results reveal that increasing the window size generally enhances the evaluation metric values up to a stabilization point, beyond which further increases do not significantly improve predictive accuracy. This stabilization effect was observed in both domains when w values exceeded 100 time steps. Moreover, the study found that RNN architectures do not consistently outperform ensemble models in various univariate time series forecasting scenarios.
DOI: 10.5281/zenodo.12665355
title: Data from: Evaluating Window Size Effects on Univariate Time Series Forecasting with Machine Learning

description: In the realm of time series prediction modeling, the window size (w) is a critical hyperparameter that determines the number of time units included in each example provided to a learning model. This hyperparameter is crucial because it allows the learning model to recognize both long-term and short-term trends, as well as seasonal patterns, while reducing sensitivity to random noise. This study aims to elucidate the impact of window size on the performance of machine learning algorithms in univariate time series forecasting tasks. To achieve this, we employed 40 time series from two different domains, conducting experiments with varying window sizes using four types of machine learning algorithms: Bagging, Boosting, Stacking, and a Recurrent Neural Network (RNN) architecture. The results reveal that increasing the window size generally enhances the evaluation metric values up to a stabilization point, beyond which further increases do not significantly improve predictive accuracy. This stabilization effect was observed in both domains when w values exceeded 100 time steps. Moreover, the study found that RNN architectures do not consistently outperform ensemble models in various univariate time series forecasting scenarios.
DOI: 10.15468/dl.hkyypj
title: Occurrence Download

description: A dataset containing 2822099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((80.86151 30.2482,78.61238 31.87449,77.32716 31.02728,77.09349 29.25923,79.31341 28.69708,80.86151 30.2482))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2822099 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013184-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgc9x4
title: Occurrence Download

description: A dataset listing the 576 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is one of (CHN.2_1, CHN.2.1_1, CHN.2.1.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 2020-2024"
 ]
}

 The dataset's 576 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013180-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35en5k
title: Occurrence Download

description: A dataset containing 374527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is one of (CHN.2_1, CHN.2.1_1, CHN.2.1.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 2020-2024"
 ]
}

 The dataset includes 374527 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013181-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ch5vp7
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.41_1",
 "TaxonKey is Cambarus howardi Hobbs & Hall, 1969"
 ]
}

 The dataset includes 67 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013190-240626123714530/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.26191019
title: Mycorrhization enhances plant growth and stabilizes biomass allocation under drought

description: Plants and their symbionts, such as arbuscular mycorrhizal (AM) fungi, are increasingly subjected to various environmental stressors due to climate change, including drought. As a response to drought, plants generally allocate more biomass to roots over shoots, thereby facilitating water uptake. However, whether this biomass allocation shift is modulated by AM fungi remains unknown.
DOI: 10.15468/dl.haw55y
title: Occurrence Download

description: A dataset containing 11170290 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Chile"
 ]
}

 The dataset includes 11170290 records from 2057 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013169-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17870/bathspa.30656036
title: <b>Creating Scores with The Record Player Orchestra (Roger Clarke and James Scott Brooks) </b>(part of doing together 25)

description: <b>Creating Scores with The Record Player Orchestra</b>7th April 2025In these two interconnected and concurrent workshops, participants had the opportunity to create both audio and visual scores, with recordings and visual works as the outcomes.The Record Player Orchestra, led by Roger Clarke, invited participants to explore the sounds on specially created vinyl records and combine these to create short improvisations. In Creating Scores, facilitated by James Scott Brooks, participants transformed the audio recordings of these short improvisations into visual scores using the provided materials.Once completed, the visual scores were then tested by participants returning to the Record Player Orchestra and using them to create new recordings.<b><i>doing together 25</i></b><i>doing together</i> is a yearly two-day making and sharing practice symposium at Locksbrook Campus, hosted by the Art Research Centre (Bath School of Art, Film and Media) in collaboration with Bath School of Design and the Centre of Cultural and Creative Industries.<i>doing together </i>is a platform to connect staff, students, and the community through making, collaboration and experimentation.Workshops, delivered by staff and PGR students from across the University, share practice-based research methods and a broad range of approaches to practice. <i>doing together</i> is proposed as a generous space to make/do/share and discuss practice with colleagues from a range of different Schools.Throughout the symposium, facilitators – alongside participants – test out ways of doing together in an effort to make their practice-based research explicit, rather than simply describe it.
DOI: 10.17870/bathspa.30656036.v1
title: <b>Creating Scores with The Record Player Orchestra (Roger Clarke and James Scott Brooks) </b>(part of doing together 25)

description: <b>Creating Scores with The Record Player Orchestra</b>7th April 2025In these two interconnected and concurrent workshops, participants had the opportunity to create both audio and visual scores, with recordings and visual works as the outcomes.The Record Player Orchestra, led by Roger Clarke, invited participants to explore the sounds on specially created vinyl records and combine these to create short improvisations. In Creating Scores, facilitated by James Scott Brooks, participants transformed the audio recordings of these short improvisations into visual scores using the provided materials.Once completed, the visual scores were then tested by participants returning to the Record Player Orchestra and using them to create new recordings.<b><i>doing together 25</i></b><i>doing together</i> is a yearly two-day making and sharing practice symposium at Locksbrook Campus, hosted by the Art Research Centre (Bath School of Art, Film and Media) in collaboration with Bath School of Design and the Centre of Cultural and Creative Industries.<i>doing together </i>is a platform to connect staff, students, and the community through making, collaboration and experimentation.Workshops, delivered by staff and PGR students from across the University, share practice-based research methods and a broad range of approaches to practice. <i>doing together</i> is proposed as a generous space to make/do/share and discuss practice with colleagues from a range of different Schools.Throughout the symposium, facilitators – alongside participants – test out ways of doing together in an effort to make their practice-based research explicit, rather than simply describe it.
DOI: 10.15468/dl.7muvp5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphrosine balani",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044858-251120083545085/datasets/export for details.
DOI: 10.17870/bathspa.30656051
title: <b>FlourishCafe: An Interactive Dialogue with AI on Flourishing in and through Art (Eri Mountbatten-O'Malley and Mark Lodge) </b>(part of doing together 25)

description: <b>FlourishCafe: An Interactive Dialogue with AI on Flourishing in and through Art</b>7th April 2025FlourishCafé is a social enterprise that helps participants explore what flourishing means to them through creative methods like world café, informed by systems theory and visual thinking. After last year's successful workshop, "Flourishing through doing art," this activity was adapted to take participants into a new creative space. Partnering with artist Mark Lodge, who co-facilitated an innovative workshop.Part 1: Pre-workshop – ‘AR Treasure Hunt’ for all doing together delegates featured QR codes at various locations around the Locksbrook building. Scanning the codes revealed images, words, and themes from last year’s FlourishCafé discussions.Part 2: ‘Interactive Dialogue with AI on Flourishing in Art’ was a session that used AI to spark creative thinking.Part 3: ‘Facilitated Dialogue on Art for Flourishing Futures’ was a group discussion using artistic, creative methods, aiming for deep learning, collective insight, and resolution.<b><i>doing together 25</i></b><i>doing together</i> is a yearly two-day making and sharing practice symposium at Locksbrook Campus, hosted by the Art Research Centre (Bath School of Art, Film and Media) in collaboration with Bath School of Design and the Centre of Cultural and Creative Industries.<i>doing together </i>is a platform to connect staff, students, and the community through making, collaboration and experimentation.Workshops, delivered by staff and PGR students from across the University, share practice-based research methods and a broad range of approaches to practice. <i>doing together</i> is proposed as a generous space to make/do/share and discuss practice with colleagues from a range of different Schools.Throughout the symposium, facilitators – alongside participants – test out ways of doing together in an effort to make their practice-based research explicit, rather than simply describe it.
DOI: 10.17870/bathspa.30656051.v1
title: <b>FlourishCafe: An Interactive Dialogue with AI on Flourishing in and through Art (Eri Mountbatten-O'Malley and Mark Lodge) </b>(part of doing together 25)

description: <b>FlourishCafe: An Interactive Dialogue with AI on Flourishing in and through Art</b>7th April 2025FlourishCafé is a social enterprise that helps participants explore what flourishing means to them through creative methods like world café, informed by systems theory and visual thinking. After last year's successful workshop, "Flourishing through doing art," this activity was adapted to take participants into a new creative space. Partnering with artist Mark Lodge, who co-facilitated an innovative workshop.Part 1: Pre-workshop – ‘AR Treasure Hunt’ for all doing together delegates featured QR codes at various locations around the Locksbrook building. Scanning the codes revealed images, words, and themes from last year’s FlourishCafé discussions.Part 2: ‘Interactive Dialogue with AI on Flourishing in Art’ was a session that used AI to spark creative thinking.Part 3: ‘Facilitated Dialogue on Art for Flourishing Futures’ was a group discussion using artistic, creative methods, aiming for deep learning, collective insight, and resolution.<b><i>doing together 25</i></b><i>doing together</i> is a yearly two-day making and sharing practice symposium at Locksbrook Campus, hosted by the Art Research Centre (Bath School of Art, Film and Media) in collaboration with Bath School of Design and the Centre of Cultural and Creative Industries.<i>doing together </i>is a platform to connect staff, students, and the community through making, collaboration and experimentation.Workshops, delivered by staff and PGR students from across the University, share practice-based research methods and a broad range of approaches to practice. <i>doing together</i> is proposed as a generous space to make/do/share and discuss practice with colleagues from a range of different Schools.Throughout the symposium, facilitators – alongside participants – test out ways of doing together in an effort to make their practice-based research explicit, rather than simply describe it.
DOI: 10.6096/ctoh_sit_nh_env_cs2_2017_01
title: Sea-Ice Thickness North Hemisphere Envisat CryoSat-2

description: EASE-grid monthly map with a spatial resolution of 12.5 km covering the Envisat and CryoSat-2 flight period 2002-2017. Includes the following parameters: sea ice FB, SIT, SIT-uncertainties, snow depth and densities, ice densities, MYI proportions.
DOI: 10.7910/dvn/gttltt
title: Si fraction

description: Si fraction and Environmental Factor Data
DOI: 10.17870/bathspa.30656084
title: <b>Where the Light Gets In: Exploring Pedagogies of Care (Louisa Clark) </b>(part of doing together 25)

description: <b>Where the Light Gets In: Exploring Pedagogies of Care</b>7th April 2025How can we bring more care into the everyday, for self and other and the in-between? Where does care shine through in our teaching, learning and artistic-practices, and how might this be amplified and shared?This workshop offered a space for the exploration of pedagogies of care through simple moving meditations, deep listening, pair / group reflection, and play with light and sound. Participants explored how these exercises, and other, embodied and phenomenological practices can provide the opportunity to pause and consider care from the personal to the communal, the felt-sense to the cognitive, and the metaphor to the method, enabling participants to imagine new approaches to wellbeing of students and staff.<b><i>doing together 25</i></b><i>doing together</i> is a yearly two-day making and sharing practice symposium at Locksbrook Campus, hosted by the Art Research Centre (Bath School of Art, Film and Media) in collaboration with Bath School of Design and the Centre of Cultural and Creative Industries.<i>doing together </i>is a platform to connect staff, students, and the community through making, collaboration and experimentation.Workshops, delivered by staff and PGR students from across the University, share practice-based research methods and a broad range of approaches to practice. <i>doing together</i> is proposed as a generous space to make/do/share and discuss practice with colleagues from a range of different Schools.Throughout the symposium, facilitators – alongside participants – test out ways of doing together in an effort to make their practice-based research explicit, rather than simply describe it.