cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0186648.10fu
title: SH0186648.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0186649.10fu
title: SH0186649.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0186650.10fu
title: SH0186650.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.ba3b7p
title: Occurrence Download

description: A dataset containing 11831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum virgatum",
 "Year 1975-2024"
 ]
}

 The dataset includes 11831 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025383-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nxans
title: Occurrence Download

description: A dataset containing 102660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((103.5 25,106.5 25,106.5 28.5,103.5 28.5,103.5 25))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 102660 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025292-250920141307145/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.30226960
title: <b>Shifts in Central Asia's Surface Energy Balance Over the Century</b>

description: Central Asia, a critical climate hotspot with arid and semi-arid landscapes, has experienced significant hydroclimatic changes amid global warming, impacting land–atmosphere energy exchanges. This study analyzes century-scale spatiotemporal dynamics and future projections of surface heat fluxes—sensible heat flux (SHF), latent heat flux (LHF), and ground heat flux (GHF)—from 1948 to 2048. Using observational data from NASA Giovanni and robust statistical methods, we quantify historical trends and generate out-of-sample projections. Results show a significant decline in SHF (Theil-Sen slope: -0.082 W m⁻² yr⁻¹) and an increase in LHF (Theil-Sen slope: 0.056 W m⁻² yr⁻¹), indicating a shift toward enhanced evapotranspiration due to regional wetting and warming. GHF shows a minor, non-significant positive trend. Projections suggest continued SHF reductions (to ~39 W m⁻² by 2048) and LHF increases (to ~24–35 W m⁻²), with increasing uncertainties. These findings highlight implications for drought vulnerability and boundary-layer dynamics, providing a framework for integrating heat flux trajectories into global climate assessments.
DOI: 10.6084/m9.figshare.30226960.v1
title: <b>Shifts in Central Asia's Surface Energy Balance Over the Century</b>

description: Central Asia, a critical climate hotspot with arid and semi-arid landscapes, has experienced significant hydroclimatic changes amid global warming, impacting land–atmosphere energy exchanges. This study analyzes century-scale spatiotemporal dynamics and future projections of surface heat fluxes—sensible heat flux (SHF), latent heat flux (LHF), and ground heat flux (GHF)—from 1948 to 2048. Using observational data from NASA Giovanni and robust statistical methods, we quantify historical trends and generate out-of-sample projections. Results show a significant decline in SHF (Theil-Sen slope: -0.082 W m⁻² yr⁻¹) and an increase in LHF (Theil-Sen slope: 0.056 W m⁻² yr⁻¹), indicating a shift toward enhanced evapotranspiration due to regional wetting and warming. GHF shows a minor, non-significant positive trend. Projections suggest continued SHF reductions (to ~39 W m⁻² by 2048) and LHF increases (to ~24–35 W m⁻²), with increasing uncertainties. These findings highlight implications for drought vulnerability and boundary-layer dynamics, providing a framework for integrating heat flux trajectories into global climate assessments.
DOI: 10.15468/dl.ssztgb
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (New Mexico State Collection of Arthropods, Mississippi Entomological Museum, Royal Saskatchewan Museum - Entomology, UCM Entomology Collection, North Carolina State University Insect Collection, Entomology Collection at the Natural History Museum of Utah, Illinois Natural History Survey Insect Collection)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boisea trivittata"
 ]
}

 The dataset includes 931 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025387-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mkpmn
title: Occurrence Download

description: A dataset containing 1991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blastus cochinchinensis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1991 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025388-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8n87nd
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltophorum pterocarpum",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025389-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57sxzw
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltophorum pterocarpum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025390-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vefjsg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltophorum pterocarpum",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025391-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8mj4u
title: Occurrence Download

description: A dataset containing 2386985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydroprogne caspia)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2386985 records from 451 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025345-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2198320464
title: Structural characterization of the 3'-end pre-mRNA processing complex CStF

description: The main goal of this proposal is to build a comprehensive understanding of a new layer of eukaryotic 3’-end precursor-mRNA processing, with focus on the Cleavage Stimulation Factor (CStF) complex. The project stems from the knowledge that targeting of the 3’-end processing machinery can be synthetically lethal in acute myeloid leukemia (AML) and Ewing’s sarcoma. To elucidate the functional role of the CStF complex, we are adopting an integrative structural biology strategy including the molecular reconstitution of CStF from recombinant sources and the determination of its architecture by cryo-EM single particle analysis. The functional role of the newly characterized interactions will be analyzed with biochemical assays and in cancer cells by transcriptional approaches. Our studies will provide molecular knowledge on novel regulatory mechanisms of 3’-end processing and their implication in cancer biology.
DOI: 10.15468/dl.8btynm
title: Occurrence Download

description: A dataset containing 3497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melastoma candidum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3497 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025393-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f76xcr
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum cromyorhizon",
 "Year 1975-2024"
 ]
}

 The dataset includes 35 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025394-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgpwgc
title: Occurrence Download

description: A dataset containing 7866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum conjugatum",
 "Year 1975-2024"
 ]
}

 The dataset includes 7866 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025392-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zx4kgd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna hirsuta",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025395-250920141307145/datasets/export for details.
DOI: 10.15468/dl.bhd2wz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna hirsuta",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025397-250920141307145/datasets/export for details.
DOI: 10.15468/dl.u3p4r5
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna hirsuta",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025396-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16759860
title: Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches

description: We developed an integrated framework that combines OpenStreetMap (OSM) data with multi-source remote sensing data (Google Earth and Sentinel-1/2) and traditional machine learning models (ResNet-18 and Random Forest) to map global onshore wind turbines. This dataset facilitates essential studies on renewable energy land management, ecological impact analysis, and data-driven energy transition policies.

The dataset includes:

1. A comprehensive global inventory of 379,595 onshore wind turbines in the format of a geospatial shapefile. The dataset includes geolocation coordinates for all wind turbines, along with corresponding nation (Field: 'Nation') and land use classification (Field: 'landtype') for each wind turbine.

2. The dataset comprises 37,285 carefully annotated 256×256 pixel Google Earth image patches, containing both positive (wind turbine) and negative (background) samples, and is organized into folders with training (60%, 22,372 images) and testing sets (20%, 7,457 images) validating sets (20%, 7,456 images). The images could serve as foundational data for training deep learning models in wind turbine classification, segmentation, and detection tasks.

The code file includes:

1. A PyTorch-based ResNet-18 implementation for classifying onshore wind turbines in Google Earth images, including codes for model architecture and pre-trained weights.

2. The GEE-based code for the Random Forest model, including sample point splitting (training/test sets) and model training.
DOI: 10.5281/zenodo.17217523
title: Mapping global onshore wind turbines using multi-source remote sensing images and hybrid learning approaches

description: We developed an integrated framework that combines OpenStreetMap (OSM) data with multi-source remote sensing data (Google Earth and Sentinel-1/2) and traditional machine learning models (ResNet-18 and Random Forest) to map global onshore wind turbines. This dataset facilitates essential studies on renewable energy land management, ecological impact analysis, and data-driven energy transition policies.

The dataset includes:

1. A comprehensive global inventory of 379,595 onshore wind turbines in the format of a geospatial shapefile. The dataset includes geolocation coordinates for all wind turbines, along with corresponding nation (Field: 'Nation') and land use classification (Field: 'landtype') for each wind turbine.

2. The dataset comprises 37,285 carefully annotated 256×256 pixel Google Earth image patches, containing both positive (wind turbine) and negative (background) samples, and is organized into folders with training (60%, 22,372 images) and testing sets (20%, 7,457 images) validating sets (20%, 7,456 images). The images could serve as foundational data for training deep learning models in wind turbine classification, segmentation, and detection tasks.

The code file includes:

1. A PyTorch-based ResNet-18 implementation for classifying onshore wind turbines in Google Earth images, including codes for model architecture and pre-trained weights.

2. The GEE-based code for the Random Forest model, including sample point splitting (training/test sets) and model training.
DOI: 10.15468/dl.y2an9a
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hyles hippophaes)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 371 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025398-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up3ndq
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melastoma intermedium",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025399-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95ev2f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna hirsuta",
 "Country is Mali",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025400-250920141307145/datasets/export for details.
DOI: 10.15468/dl.9wywk2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna hirsuta",
 "Country is Vanuatu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025401-250920141307145/datasets/export for details.
DOI: 10.15468/dl.6gdbbq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna hirsuta",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025402-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jpm5e7
title: Occurrence Download

description: A dataset containing 4062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hyperoodon ampullatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4062 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025403-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/ds/8010
title: Voices of Experience 2016-2024 Conversations

description: Full verbatim transcriptions, audio-record and image of intergenerational conversations facilitated by Voices of Experience (VoE). Conversations take place between an older person who has made a longstanding professional contribution to the built environment, paired with an individual at the outset of their career. The pairings have not met before. They share a common work theme or project and each conversation takes place in a setting connected with the participants' work. The emphasis is on female and minority experience. Conversations register an exchange of experience, a place to listen and respond; space for new connections, including immaterial, social and personal aspects of professional work. VoE is a collaborative project led by Suzanne Ewing (University of Edinburgh), Jude Barber (Collective Architecture) and Nicola McLachlan (Collective Architecture).
description: Voices of Experience Conversation 1 [2016] - Margaret Richards and Nicola McLachlan; Voices of Experience Conversation 2 [2016] - Fiona Sinclair and Mairi Laverty; Voices of Experience Conversation 3 [2016] - Dorothy Bell and Emma Fairhurst; Voices of Experience Conversation 4 [2016] - Anne Duff and Cathy Houston; Voices of Experience Conversation 5 [2017] - Kirsteen Borland and Heather Claridge; Voices of Experience Conversation 6 [2017] - Jocelyn Cunliffe and Melanie Hay; Voices of Experience Conversation 7 [2017] - Denise Bennetts and Grace Mark; Voices of Experience Conversation 8 [2017] - Kate Macintosh and Elaine Keenan; Voices of Experience Conversation 9 [2019] - Joyce Deans and Ruta Turcinaviciute; Voices of Experience Conversation 10 [2019] - Adele Patrick and Akiko Kobayashi; Voices of Experience Conversation 11 [2023] - Joyce Deans and Christina Gaiger; Voices of Experience Conversation 12 [2023] - Margaret Stewart and Freya Purcell; Voices of Experience Conversation 13 [2023] - Annie Pollock and Giulia Morrone; Voices of Experience Conversation 14 [2024] - Dorothy Nicoll and Sophie Irvine; Voices of Experience Conversation 15 [2024] - Anna Stuart and Ruth Rodger; Voices of Experience Conversation 16 [2024] - Jim Johnson and Scott McAuley. For each conversation: audio .mp3 file + transcription .pdf file + image .jpeg