cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.aggznj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Eudocimus albus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027795-250717081556266/datasets/export for details.
DOI: 10.15468/dl.4xzke7
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus idaeus",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027797-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc6nra
title: Occurrence Download

description: A dataset containing 1896 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine mammal sightings off Galápagos"
 ]
}

 The dataset includes 1896 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027798-250717081556266/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.29596967.v1
title: <b>From discovery to decision</b><b>: What does it take to move from scientific evidence to environmental policy and action?</b>

description: Bridging the science-policy-implementation gaps is crucial in an era of global environmental threats to human well-being. Here, we evaluate (i) the time lag in the uptake of ecological concepts by United Nations environmental conventions, (ii) how concept age and typology modulate uptake, and (ii) the policy-implementation effectiveness gap, focusing on biodiversity conservation. On average, the uptake of ecological concepts takes seven years, with shorter lags for older concepts. Concept general type did not modulate uptake, except for the Climate Change convention, which favoured atmospheric and abiotic elements, reflecting a focus on mitigation. Instead, concept uptake is quite idiosyncratic, probably depending on the alignment level of the scientific and political agendas on particular topics. The policy-implementation gap is scale-dependent, with more effective implementation at local scales. Improving the quality and impact of future environmental policies and actions calls for co-production approaches that align the goals of scientists, policymakers and stakeholders.<br><br><br><br><br><br>
DOI: 10.15468/dl.8u53uq
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum kilimanjari",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 76 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027799-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16312700
title: Synthetic Mobile Signaling Dataset for Earthquake Impact Assessment

description: The dataset covers four indicators aggregated within both 5-character and 6-character precision GeoHash grids.

This dataset consists of synthetic mobile signaling data generated with random noise. It is intended for demonstration purposes only and does not represent real-world observations. The data were created to support the testing and validation of earthquake impact assessment methods using mobile signaling indicators. 

Researchers can use this dataset to reproduce the results and run the code presented in the associated study. 

Please note that this dataset should not be used for operational or policy-related applications.
DOI: 10.5281/zenodo.16314297
title: EstacionesTrabajarPtotal2022CuencaMagCauca
DOI: 10.5281/zenodo.16314298
title: EstacionesTrabajarPtotal2022CuencaMagCauca
DOI: 10.15468/dl.2haga9
title: Occurrence Download

description: A dataset containing 3390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clerodendrum chinense"
 ]
}

 The dataset includes 3390 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027800-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfmd65
title: Occurrence Download

description: A dataset containing 4480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phasianus colchicus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4480 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027802-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akkf9w
title: Occurrence Download

description: A dataset containing 3404 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clerodendrum bungei"
 ]
}

 The dataset includes 3404 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027801-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.db4h9c
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus zhungdianensis"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027803-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8r4x67
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "TaxonKey is Castanopsis carlesii"
 ]
}

 The dataset includes 727 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027804-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15309120
title: Large strain contribution to the laser-driven magnetization response of magnetostrictive TbFe2

description: We investigate strain-induced contributions to the transient polar magneto-optical Kerr effect response in laser-excited terfenol. The tr-MOKE signals obtained from TbFe2 films with and without glass capping exhibit distinct signatures associated with transient strain. We experimentally observe the arrival of strain pulses via the reflectivity change. The tr-MOKE response measured without changing the pump-probe geometry is  delayed by several picoseconds. This suggests a genuine magnetization response as opposed to instantaneous changes of optical constants as the origin of the signal. We model the propagation of longitudinal acoustic picosecond strain pulses and incorporate the inverse magnetostriction effect via a magnetoelastic term in the effective field of the Landau–Lifshitz–Gilbert equation with large damping. This reproduces not only the delay of the pulsed response, but also unveils the dominant contribution of quasi-static strain to the magnetization dynamics due to the thermal expansion in the optically probed near-surface region.  Our experiments exemplify that purely longitudinal strain along the out-of-plane direction of the thin film enables efficient magnetoelastic coupling  via the shear strain components arising in the oblique crystallographic frame of reference.This dataset contains all raw data, modelling and plot scripts used in the related publication. The content of the .zip archive is described in the README.md textfile. The data analysis scripts as well as the modelling of the laser-induced lattice dynamics are written in Python.
DOI: 10.5281/zenodo.15309119
title: Large strain contribution to the laser-driven magnetization response of magnetostrictive TbFe2

description: We investigate strain-induced contributions to the transient polar magneto-optical Kerr effect response in laser-excited terfenol. The tr-MOKE signals obtained from TbFe2 films with and without glass capping exhibit distinct signatures associated with transient strain. We experimentally observe the arrival of strain pulses via the reflectivity change. The tr-MOKE response measured without changing the pump-probe geometry is  delayed by several picoseconds. This suggests a genuine magnetization response as opposed to instantaneous changes of optical constants as the origin of the signal. We model the propagation of longitudinal acoustic picosecond strain pulses and incorporate the inverse magnetostriction effect via a magnetoelastic term in the effective field of the Landau–Lifshitz–Gilbert equation with large damping. This reproduces not only the delay of the pulsed response, but also unveils the dominant contribution of quasi-static strain to the magnetization dynamics due to the thermal expansion in the optically probed near-surface region.  Our experiments exemplify that purely longitudinal strain along the out-of-plane direction of the thin film enables efficient magnetoelastic coupling  via the shear strain components arising in the oblique crystallographic frame of reference.This dataset contains all raw data, modelling and plot scripts used in the related publication. The content of the .zip archive is described in the README.md textfile. The data analysis scripts as well as the modelling of the laser-induced lattice dynamics are written in Python.
DOI: 10.15468/dl.bm55hb
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Slovakia",
 "TaxonKey is Centaurea cyanus"
 ]
}

 The dataset includes 265 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027805-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45qakn
title: Occurrence Download

description: A dataset containing 2687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lolium multiflorum",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2687 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027809-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/66a267016c34e
title: 2022-2024 FISP: Ecosystem Benefits of UK Oyster Aquaculture Sites Mumbles 2022 Sediment Sampling Survey

description: As part of the Fisheries Industry Science Partnerships (FISP) project 'Ecosystem Benefits of UK Oyster Aquaculture Sites' project partners Tethys Oysters Ltd. / Atlantic Edge Oysters Ltd., Envision Marine Ltd. and the University of Essex have collaborated in a research project to determine ecosystem benefits provided by oyster aquaculture by measuring biodiversity and denitrification activity at a variety of sites in England and Wales. Surveys were undertaken by ENVISION in 2023 to measure the biodiversity associated with three oyster farms and one naturalised rock oyster reef in comparison to control sites with similar environmental conditions, as well as ecosystem function (nitrification/denitrification activity) at these sites. Recognising the importance of conservation and restoration of native oyster populations, surveys were also carried out in 2022 and 2023 to measure oyster abundance and associated biodiversity at an historic native oyster site, commercially restocked with native oysters in 2021. Survey works included recording of underwater imagery, sediment sampling, oyster dredging and ecosystem function sampling. Underwater camera systems were used to record the diversity of biota around the oysters during submersion. Sediment samples were taken for measurement of diversity of macrofauna, particle size distribution and total organic carbon, and the ecosystem function testing involved sampling of sediment and swabs of oysters/hard surfaces to determine the abundance and activity of denitrifying/nitrifying microorganisms on oyster site substrates, through genomic analysis. The results of the denitrification and biodiversity services provided by oyster aquaculture were communicated to consumers, industry and decision makers to increase understanding and promote awareness of the ecosystem benefits provided by aquaculture.
DOI: 10.6084/m9.figshare.29617643
title: HUMAnN3 results

description: HUMAnN3 results
DOI: 10.6084/m9.figshare.29617643.v1
title: HUMAnN3 results

description: HUMAnN3 results
DOI: 10.25592/uhhfdm.17676
title: INEL Kalmyk Corpus

description: <strong>Corpus citation</strong>

<em>Baranova, Vlada</em>. 2025. INEL Kalmyk Corpus. Archived at Universität Hamburg. Version 1.0. Publication date 2025-07-17. https://hdl.handle.net/11022/0000-0007-FFB1-2. Archived at Universität Hamburg. In: <em>The INEL Corpora of Indigenous Northern Eurasian Languages</em>. https://hdl.handle.net/11022/0000-0007-F45A-1.

<strong>Corpus Description</strong>

The INEL Kalmyk Corpus has been created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages"), 2016–2033.

The corpus consists of transcribed audio recordings collected in the Republic of Kalmykia between 2007 and 2018 in the Ketchenerovsky District (Derbet  and Torgut dialect).

All texts in the corpus are provided with interlinear morpheme-by-morpheme glosses and translation into English and Russian. All texts for which the audio recordings were accessible are time-aligned with them. 

<strong>Corpus Size</strong>

The corpus contains <strong>55 </strong>texts, <strong>2,076 </strong>sentences, and <strong>19,742 </strong>tokens. The total duration of the audio recordings is <strong>4 </strong>hours and <strong>23 </strong>minutes.

<strong>Funding</strong>

The corpus has been produced in the context of the joint research funding of the German Federal Government and Federal States in the Academies’ Programme, with funding from the Federal Ministry of Education and Research and the Free and Hanseatic City of Hamburg. The Academies’ Programme is coordinated by the Union of the German Academies of Sciences and Humanities.

<strong>Contributions / Acknowledgements</strong>

Native speakers generously shared their knowledge of Kalmyk, making the creation of this corpus possible. Zamira Xejchieva and Galina Cabdy`rova assisted with oral transcription and the Russian translation of the audio materials.

Part of the materials were recorded during joint expeditions of St. Petersburg University and the Institute for Linguistic Studies of the Russian Academy of Sciences in 2007–2008, under the direction of Elena Perekhvalskaya and Sergey Say.

This corpus primarily follows the transcription system and partially adopts the glossing conventions developed by a research team led by Sergey Say, with input from other expedition participants.

<strong>Searching the corpus</strong>

The corpus can be downloaded from the ZFDM Repository using the links provided below and browsed or searched locally using the EXMARaLDA software or, alternatively, ELAN.

Online search with Tsakorpus platform is available at https://inel.corpora.uni-hamburg.de/KalmykCorpus/search.

Remote search with EXMARaLDA is also possible without downloading all the files (see https://inel.corpora.uni-hamburg.de/portal/help/en/index.php).

See the user documentation (section 3) for details on transcription, annotation tiers and annotation tags.<br>
Find further information and links on the Kalmyk Corpus page at the INEL Resources portal: https://inel.corpora.uni-hamburg.de/portal/corpora/kalmyk/.
DOI: 10.25592/uhhfdm.17675
title: INEL Kalmyk Corpus

description: <strong>Corpus citation</strong>

<em>Baranova, Vlada</em>. 2025. INEL Kalmyk Corpus. Archived at Universität Hamburg. Version 1.0. Publication date 2025-07-17. https://hdl.handle.net/11022/0000-0007-FFB1-2. Archived at Universität Hamburg. In: <em>The INEL Corpora of Indigenous Northern Eurasian Languages</em>. https://hdl.handle.net/11022/0000-0007-F45A-1.

<strong>Corpus Description</strong>

The INEL Kalmyk Corpus has been created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages"), 2016–2033.

The corpus consists of transcribed audio recordings collected in the Republic of Kalmykia between 2007 and 2018 in the Ketchenerovsky District (Derbet  and Torgut dialect).

All texts in the corpus are provided with interlinear morpheme-by-morpheme glosses and translation into English and Russian. All texts for which the audio recordings were accessible are time-aligned with them. 

<strong>Corpus Size</strong>

The corpus contains <strong>55 </strong>texts, <strong>2,076 </strong>sentences, and <strong>19,742 </strong>tokens. The total duration of the audio recordings is <strong>4 </strong>hours and <strong>23 </strong>minutes.

<strong>Funding</strong>

The corpus has been produced in the context of the joint research funding of the German Federal Government and Federal States in the Academies’ Programme, with funding from the Federal Ministry of Education and Research and the Free and Hanseatic City of Hamburg. The Academies’ Programme is coordinated by the Union of the German Academies of Sciences and Humanities.

<strong>Contributions / Acknowledgements</strong>

Native speakers generously shared their knowledge of Kalmyk, making the creation of this corpus possible. Zamira Xejchieva and Galina Cabdy`rova assisted with oral transcription and the Russian translation of the audio materials.

Part of the materials were recorded during joint expeditions of St. Petersburg University and the Institute for Linguistic Studies of the Russian Academy of Sciences in 2007–2008, under the direction of Elena Perekhvalskaya and Sergey Say.

This corpus primarily follows the transcription system and partially adopts the glossing conventions developed by a research team led by Sergey Say, with input from other expedition participants.

<strong>Searching the corpus</strong>

The corpus can be downloaded from the ZFDM Repository using the links provided below and browsed or searched locally using the EXMARaLDA software or, alternatively, ELAN.

Online search with Tsakorpus platform is available at https://inel.corpora.uni-hamburg.de/KalmykCorpus/search.

Remote search with EXMARaLDA is also possible without downloading all the files (see https://inel.corpora.uni-hamburg.de/portal/help/en/index.php).

See the user documentation (section 3) for details on transcription, annotation tiers and annotation tags.<br>
Find further information and links on the Kalmyk Corpus page at the INEL Resources portal: https://inel.corpora.uni-hamburg.de/portal/corpora/kalmyk/.
DOI: 10.15468/dl.rzx3cg
title: Occurrence Download

description: A dataset containing 1172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lolium multiflorum",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1172 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027807-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37q7f6
title: Occurrence Download

description: A dataset containing 10289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agalinis tenuifolia"
 ]
}

 The dataset includes 10289 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027806-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmvya9
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ovulinia azaleae"
 ]
}

 The dataset includes 174 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027810-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqz5pa
title: Occurrence Download

description: A dataset containing 11554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lolium multiflorum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11554 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027808-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rgq38
title: Occurrence Download

description: A dataset containing 3300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clerodendrum japonicum"
 ]
}

 The dataset includes 3300 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027811-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7583
title: Analysis Plan: Performance of the Deep Movement model for automated scoring of angiographic outcomes following endovascular thrombectomy in the ProFATE trial.
title: ProFATE DSA Deep Movement Analysis Plan

description: This is an analysis plan for a secondary analysis of digital subtraction angiongraphy (DSA) data from the ProFATE RCT using the Deep Movement AI tool.
DOI: 10.15468/dl.ahv2zw
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phasianus colchicus",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027812-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.