cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/7c06071c-0350-4817-a229-7b2afc0127f7
title: Patricia Bay Echosounder, Bioacoustic Deployed 2025-03-19

description: The ASL AZFP Echosounder 55167 was deployed on 2025-03-19 at Patricia Bay. Patricia Bay is located in the Saanich Inlet, on the southern tip of Vancouver Island. This device is a Echosounder, Bioacoustic. Echosounders are used to measure acoustic backscatter as a proxy for detecting zooplankton, fish, bubbles or other particles in the water-column. An echosounder has one or more transducers which emit acoustic pulses at a particular frequency. When the pulses strike animals or other objects in the water, echoes are produced, which can be detected and converted by the transducers back into electrical signals. Software is then used to determine distances, sizes, concentrations and movements of organisms and other objects in the water. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/6ab4dac7-eb33-46ec-969c-d3df8cd62e63
title: Patricia Bay Junction Box Deployed 2025-03-19

description: The S30009 was deployed on 2025-03-19 at Patricia Bay. Patricia Bay is located in the Saanich Inlet, on the southern tip of Vancouver Island. This device is a Junction Box. Junction Boxes supply power and communications to deployed instruments. Junction boxes have a number of serial and ethernet ports, including 400V ethernet ports that enable connections to other junction boxes and high-voltage instruments. Junction boxes can convert high voltages to lower voltages (15V, 24V or 48V) required by many instruments. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/2eac128b-4320-4f0a-b574-bf3aa1e958ce
title: Patricia Bay Conductivity Temperature Depth Deployed 2025-03-19

description: The Sea-Bird SeaCAT SBE19plus V2 7770 was deployed on 2025-03-19 at Patricia Bay. Patricia Bay is located in the Saanich Inlet, on the southern tip of Vancouver Island. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/0c171eb3-3f8d-464f-9f78-d09e486380bf
title: Patricia Bay Oxygen Sensor Deployed 2025-03-19

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 631533 was deployed on 2025-03-19 at Patricia Bay. Patricia Bay is located in the Saanich Inlet, on the southern tip of Vancouver Island. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/df12e02a-f057-4e37-9ab9-817b70230db1
title: Patricia Bay Oxygen Sensor Deployed 2025-03-19

description: The Alec Electronics Rinko-III 0014 was deployed on 2025-03-19 at Patricia Bay. Patricia Bay is located in the Saanich Inlet, on the southern tip of Vancouver Island. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.15468/dl.gnjq7z
title: Occurrence Download

description: A dataset containing 25124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "TaxonKey is Drosera rotundifolia L."
 ]
}

 The dataset includes 25124 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018271-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14696945
title: De Novo assembly and annotation of Tetradesmus sp. 198, a green algal strain from dryland soil

description: The file, entitled 'GeMoMa_annotation.gff', contains the genome annotation of Tetradesmus sp. strain 198, which was performed with GeMoMa. For further information, please refer to the following publication:

Malavasi, V., Beltran-Sanz, N, Catelan-Carphio, E., Grapputo, A., Eldridge, D.J., Travers, S., Maestre, F.T., Dal Grande, F. (2025). De Novo assembly and annotation of Tetradesmus sp. 198, a green algal strain from dryland soil.
DOI: 10.5281/zenodo.14696946
title: De Novo assembly and annotation of Tetradesmus sp. 198, a green algal strain from dryland soil

description: The file, entitled 'GeMoMa_annotation.gff', contains the genome annotation of Tetradesmus sp. strain 198, which was performed with GeMoMa. For further information, please refer to the following publication:

Malavasi, V., Beltran-Sanz, N, Catelan-Carphio, E., Grapputo, A., Eldridge, D.J., Travers, S., Maestre, F.T., Dal Grande, F. (2025). De Novo assembly and annotation of Tetradesmus sp. 198, a green algal strain from dryland soil.
DOI: 10.21227/6mme-fh05
title: imagenet

description: ImageNet is a large-scale visual database widely used in the field of computer vision, especially for object recognition tasks. It contains millions of labeled images, organized into multiple categories, and is used for training and evaluating image classification models. ImageNet datasets are widely used for training deep learning models, particularly Convolutional Neural Networks (CNNs). ILSVRC2012 (ImageNet Large Scale Visual Recognition Challenge 2012) is a part of ImageNet and is a competition for image classification and object detection. In ILSVRC2012, the dataset includes over 1000 categories with more than 1 million images. The goal of ILSVRC2012 is to evaluate the performance of different models in image classification and object recognition tasks, and it significantly contributed to the development of modern deep learning architectures. This competition's success helped accelerate the widespread use of deep neural networks, especially Convolutional Neural Networks (CNNs).
DOI: 10.15468/dl.29nquk
title: Occurrence Download

description: A dataset containing 1285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atheta dadopora C.G.Thomson, 1867",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1285 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018272-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13236226
title: Annex to the paper 'Hydrogen infrastructure in the future CO2-neutral European energy system - How does hydrogen demand affect infrastructure needs?'

description: Annex to the paper 'Hydrogen infrastructure in the future CO2-neutral European energy system - How does hydrogen demand affect infrastructure needs?'

The file provides the results from the modeling work of the paper, including detailed spatial energy balances, spatially distributed hydrogen demand and aggregated energy- and process-related emissions.
DOI: 10.5281/zenodo.13236225
title: Annex to the paper 'Hydrogen infrastructure in the future CO2-neutral European energy system - How does hydrogen demand affect infrastructure needs?'

description: Annex to the paper 'Hydrogen infrastructure in the future CO2-neutral European energy system - How does hydrogen demand affect infrastructure needs?'

The file provides the results from the modeling work of the paper, including detailed spatial energy balances, spatially distributed hydrogen demand and aggregated energy- and process-related emissions.
DOI: 10.5281/zenodo.15055844
title: Annex to the paper 'Hydrogen infrastructure in the future CO2-neutral European energy system - How does hydrogen demand affect infrastructure needs?'

description: Annex to the paper 'Hydrogen infrastructure in the future CO2-neutral European energy system - How does hydrogen demand affect infrastructure needs?'

The file provides the results from the modeling work of the paper, including detailed spatial energy balances, spatially distributed hydrogen demand and aggregated energy- and process-related emissions.
DOI: 10.15468/dl.85ar6k
title: Occurrence Download

description: A dataset containing 2947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Suivi Temporel des Libellules (STELI)",
 "GadmGid is one of (FRA.11_1, FRA.11.8.3_1)",
 "Geometry POLYGON((-17.45376 38.72183,21.45376 38.72183,21.45376 54.27817,-17.45376 54.27817,-17.45376 38.72183))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2947 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018273-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/4893
title: pineco
DOI: 10.57967/hf/4658
title: pineco
DOI: 10.15468/dl.errmck
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arhopalus montanus Knowlton & Wood, 1950"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018274-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.16179
title: Dataset for: The Effects of Clinical Meditation Programs on Well-Being

description: Standardized CAMA dataset based on: Seekircher, J., Burgard, T., & Bosnjak, M. (2023). The Effects of Clinical Meditation Programs on Stress and Well-Being. An Updated Rapid Review and Meta-Analysis of Randomized Controlled Trials (RCTs) With Active Comparison Groups. Zeitschrift für Psychologie, 231(1), 16-29.
DOI: 10.23668/psycharchives.16180
title: Dataset for: The Effects of Clinical Meditation Programs on Stress

description: Standardized CAMA dataset based on: Seekircher, J., Burgard, T., & Bosnjak, M. (2023). The Effects of Clinical Meditation Programs on Stress and Well-Being. An Updated Rapid Review and Meta-Analysis of Randomized Controlled Trials (RCTs) With Active Comparison Groups. Zeitschrift für Psychologie, 231(1), 16-29.
DOI: 10.5281/zenodo.14996624
title: Second-Position Phenomena: A Typology

description: Guest talk given at the University of Copenhagen 26 March, 2015. I render the notion and typological validity of the so called Second-Position Phenomena, i.e. principles of linearization sensitive to the distance from the clausal (or phrasal) left edge rather than to the type of the preceding syntactic category. The most famous syntactic constraint of this type is Wackernagel’s law (CL2) , a principle predicting clausal-second position of clustering clitics, i.e. weak stressed elements forming clusters. In my talk, I’ll propose a classification of word order systems with clustering clause-level clitics attested in genetically not related worlds language’s including Slavic languages from the Indo-European family and discuss the triggers and parameters of clitic-external ordering and clitic-internal ordering. Another well-known syntactic constraint is the Verb-Second constraint (V2), in its canonic form attested in Germanic languages (except for Gothic, English, Old English and Elder Futhark) and Kashmiri. The interest to V2 languages has been revoked by the revival of the so called sentence cartography, which is a universalist version of the Template analysis proposed in 1930-1950s by the structuralists from the Prague and Copenhagen Linguistic Circles (Da. sætningsskemaet). I argue against broad definitions of V2 and deny the existence of the so called ‘partial V2 languages’, ‘residual V2 languages’ etc., where structures overtly resembling V2 are attested only in one part of declarative clauses. I claim that neither CL2 nor V2 are principles of Universal Grammar. They are ‘shallow’ constraints of narrow syntax, specific for classes of world’s languages. I’ll discuss syntactic, prosodic and information structure mechanisms, which trigger second-position phenomena, in particular, the so called verb movement and constraints on the co-occurrence of syntactic categories (Comp vs V, Comp vs CL, V vs CL, Comp vs Wh-words etc).
DOI: 10.5281/zenodo.14996625
title: Second-Position Phenomena: A Typology

description: Guest talk given at the University of Copenhagen 26 March, 2015. I render the notion and typological validity of the so called Second-Position Phenomena, i.e. principles of linearization sensitive to the distance from the clausal (or phrasal) left edge rather than to the type of the preceding syntactic category. The most famous syntactic constraint of this type is Wackernagel’s law (CL2) , a principle predicting clausal-second position of clustering clitics, i.e. weak stressed elements forming clusters. In my talk, I’ll propose a classification of word order systems with clustering clause-level clitics attested in genetically not related worlds language’s including Slavic languages from the Indo-European family and discuss the triggers and parameters of clitic-external ordering and clitic-internal ordering. Another well-known syntactic constraint is the Verb-Second constraint (V2), in its canonic form attested in Germanic languages (except for Gothic, English, Old English and Elder Futhark) and Kashmiri. The interest to V2 languages has been revoked by the revival of the so called sentence cartography, which is a universalist version of the Template analysis proposed in 1930-1950s by the structuralists from the Prague and Copenhagen Linguistic Circles (Da. sætningsskemaet). I argue against broad definitions of V2 and deny the existence of the so called ‘partial V2 languages’, ‘residual V2 languages’ etc., where structures overtly resembling V2 are attested only in one part of declarative clauses. I claim that neither CL2 nor V2 are principles of Universal Grammar. They are ‘shallow’ constraints of narrow syntax, specific for classes of world’s languages. I’ll discuss syntactic, prosodic and information structure mechanisms, which trigger second-position phenomena, in particular, the so called verb movement and constraints on the co-occurrence of syntactic categories (Comp vs V, Comp vs CL, V vs CL, Comp vs Wh-words etc).
DOI: 10.5281/zenodo.12800338
title: Imaging mass cytometry analysis of oesophageal adenocarcinoma during neoadjuvant treatment

description: Image mass cytometry dataset accompanying the manuscript "Evolutionary and immune microenvironment dynamics during neoadjuvant treatment of oesophageal adenocarcinoma" by Barroux et al.

The Metadata.xls file includes the metadata, the raw image data is saved as mcd-file, the segmented cellular expression data is available as csv files. Set 1 includes data from the exploratory set. Set 2 includes multi-region data from resection specimens generated during the revisison process to account for tumour heterogeneity.
DOI: 10.5281/zenodo.12800339
title: Imaging mass cytometry analysis of oesophageal adenocarcinoma during neoadjuvant treatment

description: Image mass cytometry dataset accompanying the manuscript "Evolutionary and immune microenvironment dynamics during neoadjuvant treatment of oesophageal adenocarcinoma" by Barroux et al.

The Metadata.xls file includes the metadata, the raw image data is saved as mcd-file, the segmented cellular expression data is available as csv files. Set 1 includes data from the exploratory set. Set 2 includes multi-region data from resection specimens generated during the revisison process to account for tumour heterogeneity.
DOI: 10.15468/dl.ap22g3
title: Occurrence Download

description: A dataset containing 1268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aclypea opaca (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1268 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018277-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/wpfx-cz72
title: Labeled training datasets for Geologically-informed AI model

description: We develop a geological and geophysical forward modeling workflow from the perspective of stratigraphic forward modeling, adding fold structures, building attribute models, building seismic data. Specifically, we first use PyBadlands (Salles et al., 2018) to simulate numerous stratigraphic layers under diverse forcing conditions. Then we perform the interpolation process to obtain a stratigraphic volume and add folding structures (Wu et al., 2020). For the attribute models construction, we first manually build an initial porosity model (P0 ) based on the RGT model, assigning diﬀerent porosity values at diﬀerent RGT layers and introduce lateral variations to enhance its realism. Then we generate two weighting matrices (w 1 and w2 ) to incorporate variations in depositional environment and compaction eﬀects, respectively. Finally, we combine these elements to generate the ﬁnal realistic porosity model, which can eﬀectively and reasonably reﬂect the inﬂuence of the variations in rock properties, depositional environments, and burial depths on subsurface sediments. After obtaining the realistic porosity model, we then employ the Biot-Gassmann theory (Biot, 1941; Gassmann, 1951; Berryman, 1999) to compute the corresponding velocity, density, and impedance models. To be consistent with the ﬁeld seismic data, we perform the depth-to-time conversion for all attribute models based on the velocity model. Finally, we convolve the reﬂectivity model (converted from impedance model) with a Ricker wavelet and add real noise to generate the ﬁnal synthetic seismic image. Simultaneously, we also automatically obtain the corresponding RGT labels. Finally, we automatically obtain 2000 pairs of synthetic seismic images (520[crossline] × 300[Time]) and corresponding RGT labels contained diverse geological clinothems patterns.
DOI: 10.48597/vz9j-zdey
title: Measurement of Particle_number_size_distribution at Ispra

description: Measurement of Particle_number_size_distribution at Ispra
DOI: 10.6092/unibo/amsacta/8271
title: Dataset of dog and cat population tested for Feline panleukopenia virus and Canine parvovirus

description: The dataset contains signalment, clinical and diagnostic data of a population of 33 dogs and cats tested for the presence of feline panleukopenia virus and canine parvovirus DNA at the Veterinary Teaching Hospital of the Department of Veterinary Medical Science of the University of Bologna.
DOI: 10.6084/m9.figshare.28631576
title: Soil Erosion, SOC and TN data along a Cultivated Toposequence in NE China

description: Soil erosion rate, SOC and TN were investigated along a typical cultivated toposequence in the black soil region of northeast (NE) China.
DOI: 10.15468/dl.t5znnh
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ataenius scabrellus Schmidt, 1909",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018282-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8w5t9d
title: Occurrence Download

description: A dataset listing the 78683 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 78683 records were derived from 1433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018275-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1125264.10fu
title: SH1125264.10FU

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/sh1125266.10fu
title: SH1125266.10FU

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.