cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p13l6rzd
title: Phytoplankton Species Composition and Abundance in the Sacramento-San Joaquin River Delta: Microscopic Enumeration of USGS Samples, beginning in 2016 (ver. 2.0, December 2025)

description: This dataset contains multiple types of data characterizing phytoplankton in the Sacramento-San Joaquin Delta (California, USA). 1) Bright field microscopy was used to identify and enumerate phytoplankton community composition; 2) Epifluorescent microscopy was used to enumerate picophytoplankton (phytoplankton cells less than 2 microns in diameter) and, 3) a categorical visual index, Microcystis Visual Index (MVI), was used to rapidly estimate the abundance of Microcystis colonies near the surface.

Revision History
First release: June 22, 2023
Revision 1.1: December 28, 2023
Revision 2.0: December 11, 2025
DOI: 10.3886/e239072v1-192920
title: HIFLD OPEN Control Areas

description: This feature class/shapefile represents electric power control areas. Control Areas, also known as Balancing Authority Areas, are controlled by Balancing Authorities, who are responsible for monitoring and balancing the generation, load, and transmission of electric power within their region, often comprised of the retail service territories of numerous electric power utilities. Each control area is interconnected with neighboring ones to facilitate emergency support, coordinated operations, and power purchases and sales. The following updates have been made since the previous release: 1 feature removed.<br><br><br>
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.<br>
DOI: 10.18739/a2jd4pr5b
title: Discrete water samples collected from the Conductivity-Temperature-Depth (CTD) rosette at specific depths, United States Coast Guard Cutter Healy (HLY1801), Northern Bering Sea to Chukchi Sea, 2018

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological "hotspot" locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon.
DOI: 10.17026/ar/h4pcla
title: PAN-00006313 - coin/coin-related, Tetricus I (271-274) ?, naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00006313&lt;/p&gt;
description: Modified: 2025-05-26T07:50:56+02:00
DOI: 10.18739/a2dn3zz0q
title: Benthic macroinfaunal samples collected from the United States Coast Guard Ship (USCGS) Cruise Ship Healy, Northern Bering Sea to Chukchi Sea, 2018

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated “Distributed Biological Observatory” (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological “hotspot” locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon. This dataset contains benthic macroinfaunal population level from sediment samples collected at each station for the United States Coast Guard Cutter (USCGC) Healy cruise-Leg 1 in 2017, identified by station number (#), Station name (Stn. Name), Date (mm/dd/yy), latitude (°N), longitude (°W), and station depth (m). The following macroinfaunal parameters were determined: abundance, wet weight biomass (grams of wet weight per meters squared), dry weight biomass (grams of Carbon per meters squared), and taxon type.
DOI: 10.18739/a28w38458
title: Surface sediment samples collected from the United States Coast Guard Cutter Healy (HLY1801), Northern Bering Sea to Chukchi Sea (2018)

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological hotspot locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea, and DBO5-Barrow Canyon.
 This dataset contains summary measurements of surface sediment collected at each station for the identified cruise, including: sediment grain size (≤0 phi, 1 phi, 2 phi, 3 phi, 4 phi, greater than 5 phi, 1-4 phi, and modal phi size), total organic carbon (TOC), total organic nitrogen (TON), carbon/nitrogen ratio (C/N) and surface sediment chlorophyll (chl a). Surface sediment chlorophyll (chl a) content is scaled up to milligrams of Chl a per meter squared (mg chl a/m2).
DOI: 10.17026/ar/ejivze
title: PAN-00102488 - coin/coin-related, Marcus Aurelius (161-180), denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00102488&lt;/p&gt;
description: Modified: 2025-08-26T07:29:42+02:00
DOI: 10.18739/a2542jb2x
title: Surface sediment samples collected from the Research Vessel Sikuliaq, Northern Bering Sea to Chukchi Sea, 2023

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological "hotspot" locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE (northeast) Chukchi Sea, and DBO5-Barrow Canyon.
DOI: 10.18739/a21g0hx13
title: Discrete water samples collected from the Conductivity-Temperature-Depth (CTD) rosette at specific depths, Research Vessel Sikuliaq, Northern Bering Sea to Chukchi Sea, 2024

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological "hotspot" locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon.
DOI: 10.18739/a2wp9t87f
title: Surface sediment samples collected from the Research Vessel Sikuliaq, Northern Bering Sea to Chukchi Sea, 2024

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory(DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological "hotspot" locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE (northeast) Chukchi Sea, and DBO5-Barrow Canyon.
DOI: 10.17026/ar/abswaa
title: PAN-00178102 - wire brooch with angular bow variant A1

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178102&lt;/p&gt;
description: Modified: 2025-08-07T16:56:44+02:00
DOI: 10.15468/dl.urme64
title: Occurrence Download

description: A dataset listing the 276 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((2.55058 42.80299,2.55474 42.80011,2.56301 42.79863,2.56731 42.80011,2.56945 42.80276,2.55954 42.84524,2.5397 42.84821,2.50202 42.85086,2.48053 42.84557,2.46318 42.83879,2.46825 42.83543,2.46916 42.82986,2.46044 42.82521,2.46381 42.8088,2.44906 42.81075,2.43691 42.81271,2.43665 42.79482,2.4694 42.79579,2.4778 42.79709,2.49165 42.79954,2.50005 42.80133,2.50795 42.80125,2.51219 42.80174,2.51928 42.80109,2.52384 42.805,2.53248 42.80598,2.53868 42.80524,2.55058 42.80299))",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 276 records were derived from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048089-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/mdni5d
title: PAN-00178732 - one-ribbed La Tène bracelet variant H3b

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178732&lt;/p&gt;
description: Modified: 2025-08-27T14:47:24+02:00
DOI: 10.3886/e241166
title: Severe Injury Dashboard

description: Per 29 CFR 1904.39, OSHA requires employers to report all severe work-related injuries, defined as an amputation, in-patient hospitalization, or loss of an eye. The requirement began on January 1, 2015. This page provides information from those reports, including a description of the incident and the name and address of the establishment where it happened. Injuries are coded using the Occupational Injury and Illness Classification System.
description: employer reports to OSHA of all severe work-related injuries, defined as an amputation, in-patient hospitalization, or loss of an eye
DOI: 10.3886/e241166v1
title: Severe Injury Dashboard

description: Per 29 CFR 1904.39, OSHA requires employers to report all severe work-related injuries, defined as an amputation, in-patient hospitalization, or loss of an eye. The requirement began on January 1, 2015. This page provides information from those reports, including a description of the incident and the name and address of the establishment where it happened. Injuries are coded using the Occupational Injury and Illness Classification System.
description: employer reports to OSHA of all severe work-related injuries, defined as an amputation, in-patient hospitalization, or loss of an eye
DOI: 10.34740/kaggle/dsv/14115484
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.4e28nh
title: Occurrence Download

description: A dataset containing 10196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus palustris"
 ]
}

 The dataset includes 10196 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048090-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9hf8p
title: Occurrence Download

description: A dataset containing 106632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Cardinalis sinuatus)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 106632 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048081-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30865592
title: <b>Code and data: Decoupled responses of mycorrhizal fungal communities and function to recurrent wildfire</b>

description: Understanding the effects of fire on ecosystem function is critical for both above- and belowground processes. Mycorrhizal fungi play essential roles belowground, yet most studies rely on DNA-based methods that capture community composition but not functional attributes. Here, we assessed mycorrhizal fungal community responses alongside functional traits of biomass, and hyphal chemistry using in-growth mesh bags. We studied 12 dry sclerophyll forest sites in the Sydney Basin, spanning gradients of historical fire frequency and fire severity from the most recent fire (the 2019/20 Black Summer fires). We evaluated the effects of fire regime and soil nutrient availability using high-throughput DNA sequencing, joint species distribution modelling, and direct measurements of biomass and hyphal elemental composition.Mycorrhizal community composition was associated with fire frequency and severity, but did not correspond to measured functional changes. In contrast, nutrient availability, particularly soil orthophosphate, had limited effects on community composition, but influenced fungal function, increasing biomass and altering hyphal stoichiometry. Our study establishes critical post-fire baselines for these traits and suggests that fire regimes select for particular mycorrhizal fungal communities, but that responses are decoupled between community composition and function three years post-fire. This highlights the resilience of mycorrhizal function under varying fire regimes.
DOI: 10.6084/m9.figshare.30865592.v1
title: <b>Code and data: Decoupled responses of mycorrhizal fungal communities and function to recurrent wildfire</b>

description: Understanding the effects of fire on ecosystem function is critical for both above- and belowground processes. Mycorrhizal fungi play essential roles belowground, yet most studies rely on DNA-based methods that capture community composition but not functional attributes. Here, we assessed mycorrhizal fungal community responses alongside functional traits of biomass, and hyphal chemistry using in-growth mesh bags. We studied 12 dry sclerophyll forest sites in the Sydney Basin, spanning gradients of historical fire frequency and fire severity from the most recent fire (the 2019/20 Black Summer fires). We evaluated the effects of fire regime and soil nutrient availability using high-throughput DNA sequencing, joint species distribution modelling, and direct measurements of biomass and hyphal elemental composition.Mycorrhizal community composition was associated with fire frequency and severity, but did not correspond to measured functional changes. In contrast, nutrient availability, particularly soil orthophosphate, had limited effects on community composition, but influenced fungal function, increasing biomass and altering hyphal stoichiometry. Our study establishes critical post-fire baselines for these traits and suggests that fire regimes select for particular mycorrhizal fungal communities, but that responses are decoupled between community composition and function three years post-fire. This highlights the resilience of mycorrhizal function under varying fire regimes.
DOI: 10.15468/dl.ze2dt6
title: Occurrence Download

description: A dataset containing 95785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera simaruba",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 95785 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048084-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/nkgjq9
title: PAN-00010882 - knob unspecified (Roman period)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00010882&lt;/p&gt;
description: Modified: 2025-07-17T13:25:48+02:00
DOI: 10.15468/dl.kz2k6v
title: Occurrence Download

description: A dataset containing 1013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian Museum of Nature Mammal Collection",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus"
 ]
}

 The dataset includes 1013 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048092-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/tim4sc
title: PAN-00113301 - coin/coin-related, Karel van Egmond (1492-1538), snaphaan

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00113301&lt;/p&gt;
description: Modified: 2025-09-15T13:11:26+02:00
DOI: 10.5281/zenodo.17900729
title: Dataset for article "Goal-directed shaping of cortical waves"

description: Institution: Université Paris-Saclay, CNRS, Institut des Neurosciences Paris-Saclay (NeuroPSI), 91400,Saclay, France. 

Isabelle Ferezou and Luc Estebanez are co-last authors. Correspondence: luc.estebanez@cnrs.fr, mail@dogadov.fr

BioRxiv DOI: https://doi.org/10.1101/2024.09.10.612344

Abstract

At the surface of the cerebral cortex, the dynamics of brain activity at the mesoscopic scale are characterized by waves of synchronized neuronal activity. These waves have been shown to impact the processing of sensory information, but can they be actively shaped by the subject in a goal directed manner? To address this question, we designed a fast widefield optical brain-machine interface for mice that can detect and reinforce individual traveling waves, which follow a specific displacement at the surface of the somatosensory cortex. Trained mice learned to generate these Conditioned Waves, which became progressively more stereotyped. The Conditioned Waves resulted from a reshaping of the cortical activity associated with limb movements, which included a sharp pre-movement cortical suppression that emerged with learning. Our work demonstrates that traveling cortical waves of neuronal activity can be subject to operant control. It provides evidence for the plasticity and functional relevance of large-scale cortical dynamics, and establishes a new paradigm for manipulating mesoscale brain activity.

Dataset

Wave dataset

The dataset consists of a set of .mat files acquired on multiple consecutive training days, in 16 mice. To access the data in the .mat files, Matlab should include in its path the class definitions found in the Class_description.zip file.

For each session contained in the .mat file names with unique identifier YEAR-MONTH-DAY-HOUR_MINUTE_SECOND of the corresponding experiment, there are several fields, and in particular including:

Waves: the listing of all waves that took place at the surface of the cortex during the recording. 

RewardableWaves: waves that filled the requirement for reward. 

the wave structure includes the time of occurence, path at the surface of the cortex, and strength of the wave. 

Reference: a construct that includes a reference blue and green image, the mask that delineates the cortical window, and the ROIs that are used in the operant conditionning, enabling to identify the condition that is trained on a given session. 

Mesoscale calcium imaging dataset

In addition to this systematic dataset, the full calcium image time series acquired on the first and best performance session in Mouse 12 have been also provided. The cortical wave trajectories are derived from the analysis of these raw images.