cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17870/bathspa.30720539
title: <b>Digital Dirt under the Fingernails (David Webb) </b>(part of doing together 25)

description: <b>Digital Dirt under the Fingernails</b>8th April 2025A swipe or tap on your phone might allow you to do something joyful and intentional, habitual and pointless, or resentfully necessary. Each digital act is one tip of a mysterious chain of digital happenings that somewhere touch the earth, ecologies, soil, water, people, politics, economies, wealth and power. Digital experiences feel, and are presented as abstract, placeless and weightless, but are they really?This session explored the lifecycle, and material reality of these digital chains beginning with the metaphor (which we may break) of a garden and its hidden ecosystems, forces, seasons and labour that it takes to harvest a desired fruit.Participants used mark-making, objects, the space and ourselves to collectively build a story behind these abstract actions, to see where they make contact and what the consequences might be.<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.30720539.v1
title: <b>Digital Dirt under the Fingernails (David Webb) </b>(part of doing together 25)

description: <b>Digital Dirt under the Fingernails</b>8th April 2025A swipe or tap on your phone might allow you to do something joyful and intentional, habitual and pointless, or resentfully necessary. Each digital act is one tip of a mysterious chain of digital happenings that somewhere touch the earth, ecologies, soil, water, people, politics, economies, wealth and power. Digital experiences feel, and are presented as abstract, placeless and weightless, but are they really?This session explored the lifecycle, and material reality of these digital chains beginning with the metaphor (which we may break) of a garden and its hidden ecosystems, forces, seasons and labour that it takes to harvest a desired fruit.Participants used mark-making, objects, the space and ourselves to collectively build a story behind these abstract actions, to see where they make contact and what the consequences might be.<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.u54adj
title: Occurrence Download

description: A dataset containing 324493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-106.6649 52.18177, -106.6784 52.18177, -106.6637 52.17206, -106.6772 52.17206, -106.6908 52.17206, -106.6761 52.16234, -106.6896 52.16234, -106.6749 52.15263, -106.6884 52.15263, -106.7561 52.15263, -106.7414 52.14291, -106.7549 52.14291, -106.7685 52.14291, -106.7537 52.1332, -106.7673 52.1332, -106.7526 52.12349, -106.7661 52.12349, -106.7514 52.11378, -106.7243 52.11378, -106.7096 52.10406, -106.6961 52.10406, -106.6667 52.08465, -106.6397 52.08465, -106.625 52.07494, -106.6115 52.07494, -106.6262 52.08465, -106.5721 52.08465, -106.5585 52.08465, -106.5732 52.09435, -106.5597 52.09435, -106.5461 52.09435, -106.5608 52.10406, -106.5473 52.10406, -106.5619 52.11378, -106.5484 52.11378, -106.5631 52.12349, -106.5496 52.12349, -106.5642 52.1332, -106.5507 52.1332, -106.5654 52.14291, -106.5519 52.14291, -106.5383 52.14291, -106.553 52.15263, -106.5666 52.15263, -106.6254 52.19149, -106.6661 52.19149, -106.6808 52.20121, -106.6944 52.20121, -106.6649 52.18177))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 324493 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044832-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/41898
title: Chandra X-ray Observatory ObsId 41898
DOI: 10.17870/bathspa.30720563
title: <b>Ripped and Resonant: Towards a weight-lifting/voice training pedagogy for actors (Sarah Holden-Boyd) </b>(part of doing together 25)

description: <b>Ripped and Resonant: Towards a weight-lifting/voice training pedagogy for actors</b>8th April 2025This practical workshop aimed to explore interactions between weight-lifting and voice within the context of Anglo-American voice training pedagogies for actors. Historically, weight-lifting has been considered anathema to the performer’s vocal development. Within the context of singing training, this attitude is beginning to shift, and resources aimed at helping the singer lift weights in a ‘voice-friendly’ way are starting to emerge. No such resources, however, currently exist for the actor. This workshop shared techniques developed through extensive solo weight-lifting and voice practice and through workshops with acting students at Bath Spa University. The techniques respond to concerns raised by actor/voice trainers regarding the preservation of vocal health while weight-lifting. These techniques also use weight-lifting and the production of effort as a creative vocal stimulus. Participants were invited to participate in some simple exercises.<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.30720563.v1
title: <b>Ripped and Resonant: Towards a weight-lifting/voice training pedagogy for actors (Sarah Holden-Boyd) </b>(part of doing together 25)

description: <b>Ripped and Resonant: Towards a weight-lifting/voice training pedagogy for actors</b>8th April 2025This practical workshop aimed to explore interactions between weight-lifting and voice within the context of Anglo-American voice training pedagogies for actors. Historically, weight-lifting has been considered anathema to the performer’s vocal development. Within the context of singing training, this attitude is beginning to shift, and resources aimed at helping the singer lift weights in a ‘voice-friendly’ way are starting to emerge. No such resources, however, currently exist for the actor. This workshop shared techniques developed through extensive solo weight-lifting and voice practice and through workshops with acting students at Bath Spa University. The techniques respond to concerns raised by actor/voice trainers regarding the preservation of vocal health while weight-lifting. These techniques also use weight-lifting and the production of effort as a creative vocal stimulus. Participants were invited to participate in some simple exercises.<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.y93w9r
title: Occurrence Download

description: A dataset containing 2064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx pardinus"
 ]
}

 The dataset includes 2064 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044870-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdsxfg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((148.199 -8.290915, 148.127999 -8.296474, 148.05874 -8.313015999999999, 147.992923 -8.340134000000001, 147.932165 -8.377164, 147.877959 -8.423194000000001, 147.831638 -8.477096, 147.794344 -8.537544, 147.766997 -8.603054, 147.750276 -8.672014000000001, 147.744597 -8.742728, 147.750107 -8.813454, 147.766675 -8.882452000000001, 147.793901 -8.948021000000001, 147.831117 -9.008544000000001, 147.877411 -9.062528, 147.931644 -9.108641, 147.99248 -9.145745, 148.058418 -9.172922, 148.12783 -9.189501999999999, 148.199 -9.195074, 148.27017 -9.189501999999999, 148.339582 -9.172922, 148.40552 -9.145745, 148.466356 -9.108641, 148.520589 -9.062528, 148.566883 -9.008544000000001, 148.604099 -8.948021000000001, 148.631325 -8.882452000000001, 148.647893 -8.813454, 148.653403 -8.742728, 148.647724 -8.672014000000001, 148.631003 -8.603054, 148.603656 -8.537544, 148.566362 -8.477096, 148.520041 -8.423194000000001, 148.465835 -8.377164, 148.405077 -8.340134000000001, 148.33926 -8.313015999999999, 148.270001 -8.296474, 148.199 -8.290915))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044872-251120083545085/datasets/export for details.
DOI: 10.15468/dl.5cbb3b
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oenanthe leucura",
 "Year is less than or equal to 1970"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044873-251120083545085/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.30849901
title: S1: Localized faulting in the Andean Patagonian foreland: long-term influence of lithospheric heterogeneities revealed by thermochronology and field data

description: SI1: Fission track apatite data, raw data
DOI: 10.6084/m9.figshare.30849901.v1
title: S1: Localized faulting in the Andean Patagonian foreland: long-term influence of lithospheric heterogeneities revealed by thermochronology and field data

description: SI1: Fission track apatite data, raw data
DOI: 10.6084/m9.figshare.30849904
title: S3: Localized faulting in the Andean Patagonian foreland: long-term influence of lithospheric heterogeneities revealed by thermochronology and field data

description: SI3: Modelling data
DOI: 10.6084/m9.figshare.30849904.v1
title: S3: Localized faulting in the Andean Patagonian foreland: long-term influence of lithospheric heterogeneities revealed by thermochronology and field data

description: SI3: Modelling data
DOI: 10.6084/m9.figshare.30849907
title: S2: Localized faulting in the Andean Patagonian foreland: long-term influence of lithospheric heterogeneities revealed by thermochronology and field data

description: SI2: U/Th/He in apatite data
DOI: 10.6084/m9.figshare.30849907.v1
title: S2: Localized faulting in the Andean Patagonian foreland: long-term influence of lithospheric heterogeneities revealed by thermochronology and field data

description: SI2: U/Th/He in apatite data
DOI: 10.7910/dvn/jlweei
title: Table for "Navigating Accountability: The Role of Paradata in AI Documentation and Governance"

description: Contains structured summary table accompanying the research article.
DOI: 10.15468/dl.jczjpp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notopygos hispida",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044874-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17643278
title: Early-Season Field Reference Dataset of Croplands in a Consolidated Agricultural Frontier in the Brazilian Cerrado

description: We present the Goiatuba Land Use and Land Cover Dataset containing plot boundaries and reference information collected during the 2025/2026 Brazilian crop calendar. It is provided as a single GeoPackage (.gpkg) file. The main layer comprises 580 plots, each labeled according to the observed  land use and land cover (LULC) category. This dataset is the supplementary data of a paper published at data (MDPI).

Cite this dataset: de Freitas, A.L.R.; Gama, F.F.; Magalhães, I.A.L.; Sano, E.E. Early-Season Field Reference Dataset of Croplands in a Consolidated Agricultural Frontier in the Brazilian Cerrado. Data 2025, 10, 204. https://doi.org/10.3390/data10120204

This was partially financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil, Finance Code 001, grants # 88887.948252/2024-00 and 88881.183739/2025-01, as well as by the Fundação de Apoio à Pesquisa do Distrito Federal (FAPDF), grants # 00193.00002276/2022-90 “Demanda Espontânea” and 00193.00002586/2022-12 “AgroLearning”.
description: Name of field attributes and their corresponding description.








Feature



Description





fid



Unique identifier of each plot





in_situ



Crop type or land use and land cover observed in situ





date



Date of the plot observation





area_ha



Polygon area in hectares





reference



Identifies if the polygon had GPS coordinates






Ancillary layers of water bodies, urban areas, fragments of natural vegetation, and other features were included, enhanced by the high-resolution satellite images made available in the Google Maps platform to identify human infrastructure (e.g., sugarcane industry).
DOI: 10.5281/zenodo.17612590
title: Early-Season Field Reference Dataset of Croplands in a Consolidated Agricultural Frontier in the Brazilian Cerrado

description: We present the Goiatuba Land Use and Land Cover Dataset containing plot boundaries and reference information collected during the 2025/2026 Brazilian crop calendar. It is provided as a single GeoPackage (.gpkg) file. The main layer comprises 580 plots, each labeled according to the observed  land use and land cover (LULC) category. This dataset is the supplementary data of a paper published at data (MDPI).

Cite this dataset: de Freitas, A.L.R.; Gama, F.F.; Magalhães, I.A.L.; Sano, E.E. Early-Season Field Reference Dataset of Croplands in a Consolidated Agricultural Frontier in the Brazilian Cerrado. Data 2025, 10, 204. https://doi.org/10.3390/data10120204

This was partially financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil, Finance Code 001, grants # 88887.948252/2024-00 and 88881.183739/2025-01, as well as by the Fundação de Apoio à Pesquisa do Distrito Federal (FAPDF), grants # 00193.00002276/2022-90 “Demanda Espontânea” and 00193.00002586/2022-12 “AgroLearning”.
description: Name of field attributes and their corresponding description.








Feature



Description





fid



Unique identifier of each plot





in_situ



Crop type or land use and land cover observed in situ





date



Date of the plot observation





area_ha



Polygon area in hectares





reference



Identifies if the polygon had GPS coordinates






Ancillary layers of water bodies, urban areas, fragments of natural vegetation, and other features were included, enhanced by the high-resolution satellite images made available in the Google Maps platform to identify human infrastructure (e.g., sugarcane industry).
DOI: 10.15468/dl.yh2e6m
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea aristolochiifolia"
 ]
}

 The dataset includes 55 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044875-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpjj3j
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données de la quête INPN Espèces : À la recherche du Muguet !"
 ]
}

 The dataset includes 137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044876-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zr7f4u
title: Occurrence Download

description: A dataset containing 6942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelonoidis denticulatus, Podocnemis expansa)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6942 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044879-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnjrcb
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Milvus milvus",
 "Year is less than or equal to 1970"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044880-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5xpkm
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-74.985 -8.223913, -75.055989 -8.229473, -75.125236 -8.246015, -75.191042 -8.273134000000001, -75.251789 -8.310162999999999, -75.305986 -8.356194, -75.352299 -8.410095999999999, -75.38958599999999 -8.470545, -75.416927 -8.536054999999999, -75.433645 -8.605016000000001, -75.439322 -8.67573, -75.433813 -8.746456, -75.41724600000001 -8.815454000000001, -75.39002600000001 -8.881023000000001, -75.35281500000001 -8.941546000000001, -75.306529 -8.99553, -75.252306 -9.041643000000001, -75.191481 -9.078747, -75.125556 -9.105924, -75.056157 -9.122503999999999, -74.985 -9.128076, -74.913843 -9.122503999999999, -74.844444 -9.105924, -74.778519 -9.078747, -74.71769399999999 -9.041643000000001, -74.663471 -8.99553, -74.61718500000001 -8.941546000000001, -74.57997400000001 -8.881023000000001, -74.55275399999999 -8.815454000000001, -74.536187 -8.746456, -74.53067799999999 -8.67573, -74.536355 -8.605016000000001, -74.553073 -8.536054999999999, -74.580414 -8.470545, -74.617701 -8.410095999999999, -74.66401399999999 -8.356194, -74.718211 -8.310162999999999, -74.778958 -8.273134000000001, -74.844764 -8.246015, -74.914011 -8.229473, -74.985 -8.223913))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 96 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044877-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17880565
title: ShortRangeRadar-60-SynReal

description: Synthetic 60 GHz FMCW radar dataset for short-range object detection. Contains simulated Range-Doppler maps of humans and fork lifters in indoor industrial scenarios. Data were generated using a physics-based simulation pipeline that combined Blender for scene modeling, WinProp for ray tracing, and Feko for electromagnetic simulation. Radar parameters: 60 GHz carrier frequency, 4 GHz bandwidth, 0.11 m range resolution, 28.1 m maximum range, 0.18 m/s Doppler resolution. Annotations are provided in YOLO format.

 

Measured 60 GHz FMCW radar dataset for short-range object detection. Contains Range-Doppler maps of humans and bicycles in outdoor scenarios, recorded with a commercial 60 GHz FMCW radar sensor. Radar parameters: 60 GHz carrier frequency, 4 GHz bandwidth, 0.136 m range resolution, 13.968 m maximum range, 0.510 m/s Doppler resolution. Annotations are provided in YOLO format.