cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-xg3-huvs
title: De Kreken Fase 3, perceel 6 en 7, te Poeldijk De Kreken Fase 3, perceel 6 en 7, te Poeldijk

description: &lt;p&gt;In de periode 6 tot en met 8 juni 2017 heeft ADC ArcheoProjecten een proefsleuvenonderzoek uitgevoerd op de locatie De Kreken, Perceel 6 en 7 te Poeldijk.&lt;br&gt;Het betreft een onderzoek in het kader van het grootschalige herontwikkelings- en nieuwbouwproject De Kreken, Fase 3. In 2016 is het proefsleuvenonderzoek voor deze fase van de ontwikkeling al deels uitgevoerd. Het onderzoek kon destijds echter niet volledig uitgevoerd worden. Voor de Percelen 6 en 7 ontbrak de betredingstoestemming.&lt;br&gt;In de loop van 2017 is alsnog betredingstoestemming verkregen voor de Percelen 6 en 7 en is het resterende deel van het proefsleuvenonderzoek uitgevoerd. Hierbij zijn zeventien proefsleuven aangelegd met een totale oppervlakte van 900 m2.&lt;br&gt;De spaarzaam aangetroffen sporen en vondsten wijzen geenszins op de aanwezigheid van een nederzetting of grafveld. Ook de Romeinse weg die vanuit het noordwesten (Vindplaats H) het huidige onderzoeksgebied in het zuiden had moeten kruisen, is niet aangesneden. Zelfs de twee waarschijnlijk uit de Romeinse tijd daterende greppels (werkput 14 en werkput 17) zijn niet direct te koppelen: niet aan elkaar en niet aan in de nabije omgeving aangetroffen Romeinse greppelstructuren. Onduidelijk hierbij is of de afwezigheid van een vindplaats voortkomt uit de aangetoonde verstoring, of dat het hier ook in de Romeinse tijd om een relatief leeg gebied ging.&lt;br&gt;Op basis van de resultaten van het proefsleuvenonderzoek wordt geen vervolgonderzoek noodzakelijk geacht. Geadviseerd wordt het onderzoeksgebied (Perceel 6 en 7) wat betreft het aspect archeologie vrij te geven ten behoeve van de voorgenomen ontwikkeling. Dit selectieadvies is onder voorbehoud van het oordeel van het bevoegd gezag.&lt;/p&gt;
DOI: 10.34740/kaggle/dsv/12967971
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.13920000
title: Supplemental datasets for: 'Pan-microalgal dark proteome mapping via interpretable deep learning and synthetic chimeras'

description: This repository contains supplementary datasets for 'Pan-microalgal dark proteome mapping via interpretable deep learning and synthetic chimeras'. This version also contains the original vector graphics for the figures presented in the main text.

 

Data S1 | Neural network training sequences (4GB). Dataset comprising DNA sequences processed in two formats: with terminal information (TI-inclusive) and terminal information-free (TI-free).

Data S2 | Training and inference scripts. The LA4SR framework integrated several open-source software packages and models. We employed LORA (Low-Rank Adaptation (adapted from: https://github.com/microsoft/LoRA)), PEFT (Parameter-Efficient Fine-Tuning (https://github.com/huggingface/peft), and QLORA (Quantized Low-Rank Adaptation (adapted from: https://github.com/artidoro/qlora) for parameter-efficient post-training and used Mamba (https://github.com/state-spaces/mamba) as an alternative to transformer-based architectures. The Hugging Face Transformers library (https://github.com/huggingface/transformers) facilitated implementation, pretraining, and post-training of the open-source models. Training was performed on an HPC cluster, with jobs going to nodes with NVIDIA (Santa Clara, CA, USA) V100, A100, or H100 GPUs. Dataset available at: 10.5281/zenodo.13920001.

Data S3 | Interpretability scripts, including DeepMotifMinerPro. Includes scripts for the implementation of the custom explainer programs presented with this work, including Captum-, DeepLift, and SHAP-based approaches (Data S3) to explain how different amino acid residues and their patterns and positions affect model decisions.

Data S4 | Additional validations using new assemblies from seen species. We cultured and sequenced ten separate isogenic colonies of Chlamydomonas reinhardtii CC-1883. Of these, nine were sequenced with Illumina 150 bp paired-end short reads and one with Pacific Biosciences (PacBio, Menlo Park, CA, USA) HiFi reads and DoveTail (Sydney, Australia) Hi-C to generate a complete, axenic reference assembly. These data were also uploaded to NCBI (SAMN44618602).

 

Data S5 | Singularity container to run LA4SR. Includes an environment supporting LA4SR.
DOI: 10.5281/zenodo.15559257
title: Supplemental datasets for: 'Pan-microalgal dark proteome mapping via interpretable deep learning and synthetic chimeras'

description: This repository contains supplementary datasets for 'Pan-microalgal dark proteome mapping via interpretable deep learning and synthetic chimeras'. This version also contains the original vector graphics for the figures presented in the main text.

 

Data S1 | Neural network training sequences (4GB). Dataset comprising DNA sequences processed in two formats: with terminal information (TI-inclusive) and terminal information-free (TI-free).

Data S2 | Training and inference scripts. The LA4SR framework integrated several open-source software packages and models. We employed LORA (Low-Rank Adaptation (adapted from: https://github.com/microsoft/LoRA)), PEFT (Parameter-Efficient Fine-Tuning (https://github.com/huggingface/peft), and QLORA (Quantized Low-Rank Adaptation (adapted from: https://github.com/artidoro/qlora) for parameter-efficient post-training and used Mamba (https://github.com/state-spaces/mamba) as an alternative to transformer-based architectures. The Hugging Face Transformers library (https://github.com/huggingface/transformers) facilitated implementation, pretraining, and post-training of the open-source models. Training was performed on an HPC cluster, with jobs going to nodes with NVIDIA (Santa Clara, CA, USA) V100, A100, or H100 GPUs. Dataset available at: 10.5281/zenodo.13920001.

Data S3 | Interpretability scripts, including DeepMotifMinerPro. Includes scripts for the implementation of the custom explainer programs presented with this work, including Captum-, DeepLift, and SHAP-based approaches (Data S3) to explain how different amino acid residues and their patterns and positions affect model decisions.

Data S4 | Additional validations using new assemblies from seen species. We cultured and sequenced ten separate isogenic colonies of Chlamydomonas reinhardtii CC-1883. Of these, nine were sequenced with Illumina 150 bp paired-end short reads and one with Pacific Biosciences (PacBio, Menlo Park, CA, USA) HiFi reads and DoveTail (Sydney, Australia) Hi-C to generate a complete, axenic reference assembly. These data were also uploaded to NCBI (SAMN44618602).

 

Data S5 | Singularity container to run LA4SR. Includes an environment supporting LA4SR.
DOI: 10.17026/dans-29d-9cr8
title: De Nesse 24-34, gemeente Waddinxveen De Nesse 24-34, gemeente Waddinxveen

description: &lt;p&gt;Op 12 april 2019 heeft ADC ArcheoProjecten een Inventariserend Veldonderzoek (IVO) in de vorm van proefsleuven uitgevoerd voor het plangebied De Nesse 24-34 te Waddinxveen. Uit voorafgaand bureauonderzoek is gebleken dat in het plangebied archeologische resten kunnen voorkomen vanaf de 17e eeuw.&lt;br&gt;Tijdens de voorgenomen plannen voor de herinrichting van het terrein zal de bodem tot op ca. 1 m onder het maaiveld worden verstoord, waardoor eventueel aanwezige archeologische resten zullen worden vernietigd of ernstig beschadigd.&lt;br&gt;Het doel van het onderzoek is de aard, omvang en kwaliteit (gaafheid en conservering) vast te stellen van de vindplaats(en) in het gebied om te komen tot een definitief oordeel over de behoudenswaardigheid ervan.&lt;br&gt;De verwachtingen die op grond van het vooronderzoek zijn gesteld, konden op basis van het onderzoek deels worden bevestigd. In het onderzoeksgebied werden voornamelijk resten verwacht uit de 17e en 18e eeuw, afkomstig van de voormalige bebouwing langs de Nesse. Deze resten zijn inderdaad plaatselijk aangetroffen. De mate van verstoring in het gebied was echter groter dan op basis van het vooronderzoek werd aangenomen. Een groot deel van het westelijke en centrale gedeelte van het terrein is door de aanwezigheid van een reeds gesloopt gebouw met kelder volledig verstoord. Ook is in het noorden van het plangebied een grote hoeveelheid palen in de bodem aanwezig, die als fundering van poeren hebben gediend. Enkel het centrale oostelijke deel van het terrein was onverstoord. Op deze locatie is muurwerk, enkele betonputjes met riolering, delen van plavuizen vloeren en een gedeelte van de voormalige bestrating aangetroffen. De aangetroffen resten kunnen in verband worden gebracht met de voormalige bebouwing op het terrein, zoals deze staat afgebeeld op de kadastrale minuut uit 1811-1832. De datering ligt vermoedelijk in 18e tot 20e eeuw.&lt;br&gt;De fysieke en inhoudelijke kwaliteit van de vindplaats zijn echter als matig tot laag aan te merken.&lt;br&gt;Van het aangetroffen muurwerk kon in veel gevallen slechts de onderste paar lagen worden aangetroffen. Er is weinig tot geen dateerbaar vondstmateriaal aanwezig in het onderzoeksgebied.&lt;br&gt;Ook is de locatie en aard van de bebouwing reeds bekend, waardoor de informatiewaarde laag is.&lt;br&gt;Door de lage waardestelling van de aangetroffen archeologische resten is het advies niet over te gaan op een definitieve opgraving.&lt;/p&gt;
DOI: 10.25928/euca15000_1.0
title: Climatic Areas of Europe 1:15,000,000
title: Die Klimagebiete Europas 1 : 15.000.000
title: EUCA15000

description: The Climatic Areas of Europe (EUCA15000) were delineated in order to stratify the legend of the European Soil Regions Map (EUSR5000). Because soil properties largely depend on climate, relief and geology, soil regions must be defined according to fairly homogenous macro-scale physiogeographic conditions. Because climate (and parent material) is the initial top level stratifier for the soil regions, its delineation is more coarsely defined. The EUCA15000 is mainly based on the Thermal Climate Classification (FAO 2004), which also has been used as a data source for the Global Agro-Ecological Zones (AEZ). Currently, the map distinguishes (i) the climate zones from North to South and (ii) the climate types with oceanic to continental influence. All in all, 35 climatic areas are delineated. They differ regarding mean annual temperatures, mean annual precipitation and the length of the growing period.
description: Die Klimazonen Europas (EUCA15000) dienen dazu, die Legende der Europäischen Bodenregionenkarte (EUSR5000) zu strukturieren. Da die Bodeneigenschaften weitgehend vom Klima, Relief und der Geologie abhängen, müssen die Bodenregionen nach relativ homogenen makroskopischen und physiogeografischen Bedingungen definiert werden. Da das Klima (und das Ausgangsmaterial) die oberste Stratifizierungsebene für die Bodenregionen darstellt, ist seine Abgrenzung gröber definiert. Die EUCA15000 basiert hauptsächlich auf der thermischen Klimaklassifikation (FAO 2004), die auch als Datenquelle für die globalen agroökologischen Zonen (AEZ) verwendet wurde. Derzeit unterscheidet die Karte (i) die Klimazonen von Nord nach Süd und (ii) die Klimatypen mit ozeanischem bis kontinentalem Einfluss. Insgesamt werden 35 Klimazonen abgegrenzt. Sie unterscheiden sich hinsichtlich der mittleren Jahrestemperaturen, der mittleren jährlichen Niederschlagsmenge und der Länge der Vegetationsperiode.
DOI: 10.15468/dl.q3m4yp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scleroptila elgonensis",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030205-250827131500795/datasets/export for details.
DOI: 10.15468/dl.fvjcgk
title: Occurrence Download

description: A dataset containing 1075647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carassius auratus, Carassius carassius, Ctenopharyngodon idella, Cyprinus carpio, Esox lucius)",
 "HasCoordinate is true",
 "DecimalLatitude is less than 90",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 1075647 records from 1169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030170-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqnjgc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hynobius amakusaensis Nishikawa & Matsui, 2014)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008264-240906103802322/datasets/export for details.
DOI: 10.15468/dl.v7ewye
title: Occurrence Download

description: A dataset containing 17252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stachyuraceae"
 ]
}

 The dataset includes 17252 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008262-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ymsab
title: Occurrence Download

description: A dataset containing 1247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Scarus ghobban Forsskål, 1775"
 ]
}

 The dataset includes 1247 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008266-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3905
title: FSD3905 Citizen's Pulse 6/2024
DOI: 10.15468/dl.8s9zj2
title: Occurrence Download

description: A dataset containing 49815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dermochelys coriacea (Vandelli, 1761), Dermochelys coriacea (Linnaeus, 1766), Dermocheles coriacea, Dermatochelys coriacea Günther, 1864)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 49815 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008265-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkv95y
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sigaloseps balios Sadlier, Bauer & Wood, 2014)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008267-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dm4ca
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hynobius ikioi Matsui, Nishikawa & Tominaga, 2017)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008268-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze8mps
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasioglossum bimaculatum (Dours, 1872)"
 ]
}

 The dataset includes 443 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008269-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/ds/7716
title: EatSense: Human Centric, Action Recognition and Localization Dataset for Understanding Eating Behaviors and Quality of Motion Assessment
title: EatSense

description: We introduce a new benchmark dataset named EatSense that targets both computer vision and the healthcare community. EatSense is recorded while a person eats in a dining room uncontrolled setting. Key features are: First, it introduces challenging atomic actions for recognition. Second, the hugely varying lengths of actions in EatSense, make it nearly impossible for current temporal action localization frameworks to localize them. Third, it provides the capability to model complete eating behaviour (chain of action-based). Lastly, it simulates minor changes in motion/performance. Moreover, we conduct extensive experiments on EatSense with baseline deep learning-based approaches for bench-marking and hand-crafted feature-based approaches for explainable applications. We believe this dataset will benefit future researchers in building robust temporal action localization networks, behaviour recognition and performance assessment models for eating. The dataset is related to the publication by Muhammad Ahmed Raza, Longfei Chen, Nanbo Li and Robert B. Fisher (2023). "EatSense: Human centric, action recognition and localization dataset for understanding eating behaviors and quality of motion assessment", Image and Vision Computing, 137, 104762, ISSN 0262-8856, https://doi.org/10.1016/j.imavis.2023.104762
DOI: 10.15468/dl.8xt2au
title: Occurrence Download

description: A dataset containing 638628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptula minor (J.R.Forster, 1781)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 638628 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008255-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zhbkp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sigaloseps conditus Sadlier, Bauer & Wood, 2014)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008273-240906103802322/datasets/export for details.
DOI: 10.15468/dl.h7bjug
title: Occurrence Download

description: A dataset containing 5069 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crossosomataceae"
 ]
}

 The dataset includes 5069 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008270-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13737307
title: THE COGNITIVE CHARACTERISTICS OF WORD ORDER IN ADVERTISEMENT TEXTS
DOI: 10.5281/zenodo.13737308
title: THE COGNITIVE CHARACTERISTICS OF WORD ORDER IN ADVERTISEMENT TEXTS
DOI: 10.15468/dl.kxy9f6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ranitomeya benedicta Brown, Twomey, Pepper & Sanchez-Rodriguez, 2008)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008274-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnze9m
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gehyra georgpotthasti Flecks, Schmitz, Böhme, Henkel & Ineich, 2012)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008275-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyzz2j
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gerrardinaceae"
 ]
}

 The dataset includes 313 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008276-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nfzx4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sigaloseps ferrugicauda Sadlier, Smith, Shea & Bauer, 2014)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008277-240906103802322/datasets/export for details.
DOI: 10.15468/dl.ajza5q
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anolis calimae Ayala, Harris & Williams, 1983)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008279-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uzpvg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Onychodactylus fuscus Yoshikawa & Matsui, 2014, Onychodactylus russicus Nikolskii, 1914)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008278-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.