cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34770/y56c-ym90
title: Success and Failure in Cultural Markets

description: Success and Failure in Cultural Markets project was motivated by a
 puzzling aspect of contemporary cultural markets: successful cultural
 products, such as hit songs , bestselling books, and blockbuster movies,
 are orders of magnitude more successful than average; yet which particular
 songs, books, and movies will become the next "big thing"
 appears impossible to predict. The project proposed that both of these
 features, which appear to be contradictory at the collective level, can
 arise from the process of social influence at the individual level. To
 explore this possibility empirically a website was constructed where
 participants could listen to, rate, and download new music. Using a
 "multiple worlds" experimental design, the project found support
 for the ideas in a series of four experiments involving a total of 27,267
 participants. Data Release Included in this release are 167 data files
 containing the experimental results, mp3 files from the 48 songs, and the
 data documentation. The data files are in the ascii text, comma separated
 values(csv) format. These data files are to reproduce, and hopefully
 expand upon, the analysis conducted in the dissertation project by Matthew
 J. Salganik, supervised by Duncan J. Watts. The experiments were conducted
 at the Department of Sociology at Columbia University between 2004 and
 2007. Please direct any questions to Prof. Matthew Salganik.
DOI: 10.15468/dl.vam2sy
title: Occurrence Download

description: A dataset containing 11668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persicaria amphibia, Persicaria amphibia, Polygonum amphibium)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 11668 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017232-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydajum
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guettarda hoffmannseggii",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null",
 "EventDate is 2016-01-01,2025-12-31"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017233-260129131611470/datasets/export for details.
DOI: 10.5281/zenodo.18489246
title: RiteWeight: Randomized Iterative Trajectory Reweighting for Steady-State Distributions Without Discretization Error
title: DataSets

description: The datasets include equilibrium, non-equilibrium, and synthetic trajectory data prepared for testing and validation of the RiteWeight algorithm.

Preprint link: https://arxiv.org/abs/2401.05597

Peer Review Article link: Coming soon

 

 
description: MD_Equil.zip: Atomistic MD (Equil.)

This zip archive contains subsampled trajectory data used in the atomistic MD analysis of Trp-Cage (equilibrium), as described in the “Trajectory Preparation” section of the main manuscript.

Data Description:

Each file contains configurations in the reduced feature space used for MSM and RiteWeight clustering. Each trajectory segment consists of two snapshots separated by a 10 ns lag time, stored as:





trans_from_Rfeat.npy — reduced feature vectors representing the starting configurations




trans_to_Rfeat.npy — reduced feature vectors representing the ending configurations after 10 ns



For methodological details, please refer to the manuscript.
description: MD_NonEquil.zip: Atomistic MD (Non-Equil.)

This dataset contains the trajectory data used for the non-equilibrium estimates (mfpt, Net fluxes, RiteWeight NESS) of the atomistic Trp-Cage system.

Data Description:

All configurations from the 208 µs reference MD trajectory were projected into the reduced tICA feature space (100 tICs, lag time = 10 ns, rescaled by commute distances). Unlike the equilibrium dataset, no subsampling was performed. The configurations (stored row-wise in the reduced tICA space) correspond to frames sampled every 0.2 ns, matching the shortest temporal resolution available in the original MD trajectory. Further methodological details are provided in the manuscript.
description: SynMD_InputData.zip: Synthetic MD Data

This archive contains the trajectory data used in the synthetic molecular dynamics (SynMD) analysis described in the Synthetic MD for Trp-cage section of the main manuscript.

Data Description:The dataset provides the starting and ending microstate indices for short (5 ns) SynMD trajectory segments used in the RiteWeight analysis:





trans_from_state_indices.npy — indices of the starting microstates




trans_to_state_indices.npy — indices of the corresponding end microstates after 5 ns



For atomistic configurations corresponding to these microstate indices, see the SynMD example repository: https://github.com/jdrusso/SynD-Examples
DOI: 10.5281/zenodo.18489245
title: RiteWeight: Randomized Iterative Trajectory Reweighting for Steady-State Distributions Without Discretization Error
title: DataSets

description: The datasets include equilibrium, non-equilibrium, and synthetic trajectory data prepared for testing and validation of the RiteWeight algorithm.

Preprint link: https://arxiv.org/abs/2401.05597

Peer Review Article link: Coming soon

 

 
description: MD_Equil.zip: Atomistic MD (Equil.)

This zip archive contains subsampled trajectory data used in the atomistic MD analysis of Trp-Cage (equilibrium), as described in the “Trajectory Preparation” section of the main manuscript.

Data Description:

Each file contains configurations in the reduced feature space used for MSM and RiteWeight clustering. Each trajectory segment consists of two snapshots separated by a 10 ns lag time, stored as:





trans_from_Rfeat.npy — reduced feature vectors representing the starting configurations




trans_to_Rfeat.npy — reduced feature vectors representing the ending configurations after 10 ns



For methodological details, please refer to the manuscript.
description: MD_NonEquil.zip: Atomistic MD (Non-Equil.)

This dataset contains the trajectory data used for the non-equilibrium estimates (mfpt, Net fluxes, RiteWeight NESS) of the atomistic Trp-Cage system.

Data Description:

All configurations from the 208 µs reference MD trajectory were projected into the reduced tICA feature space (100 tICs, lag time = 10 ns, rescaled by commute distances). Unlike the equilibrium dataset, no subsampling was performed. The configurations (stored row-wise in the reduced tICA space) correspond to frames sampled every 0.2 ns, matching the shortest temporal resolution available in the original MD trajectory. Further methodological details are provided in the manuscript.
description: SynMD_InputData.zip: Synthetic MD Data

This archive contains the trajectory data used in the synthetic molecular dynamics (SynMD) analysis described in the Synthetic MD for Trp-cage section of the main manuscript.

Data Description:The dataset provides the starting and ending microstate indices for short (5 ns) SynMD trajectory segments used in the RiteWeight analysis:





trans_from_state_indices.npy — indices of the starting microstates




trans_to_state_indices.npy — indices of the corresponding end microstates after 5 ns



For atomistic configurations corresponding to these microstate indices, see the SynMD example repository: https://github.com/jdrusso/SynD-Examples
DOI: 10.82343/hnb7pa
title: Hidden in the sand: the deep learning dataset of fortified villages (qala)

description: A qala is a fortified stand-alone village or landowner's residence commonly found in Iran, Afghanistan and neighbouring countries. Settlements of this type played a key role in spatial and social organisation during the Sassanian (224–651 CE) and the Islamic periods. A typical qala has a rectangular layout. It is surrounded by a thick wall and protected by towers, which makes it easy to recognise in satellite and aerial photographs. Data on the location of qalas is known from numerous ethnographic and archaeological studies. Despite extensive research, no attempts have yet been made to use artificial intelligence (deep learning) to study their distribution.This dataset comprises a database of qala structures, images, and annotations for training deep learning models, covering selected test areas in Iran and Afghanistan. HEXAGON images available on the Earth Explorer portal were used.The dataset contains the same files in two forms: as a single ZIP archive that preserves the directory structure, and as individual files deposited directly in a flat structure.
DOI: 10.15468/dl.vwr2df
title: Occurrence Download

description: A dataset containing 14765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persicaria lapathifolia, Persicaria lapathifolia, Persicaria lapathifolia, Polygonum lapathifolium, Polygonum lapathifolium)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 14765 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017235-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57761/vedh-e104
title: Item Response Warehouse 2
DOI: 10.15468/dl.ucfjq9
title: Occurrence Download

description: A dataset containing 445163 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tyto alba"
 ]
}

 The dataset includes 445163 records from 2255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017175-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3007794/2550954
title: Data for EMSL Project 60580 from January 2024
DOI: 10.25582/data.2024-01.3007812/2550955
title: Data for EMSL Project 60580 from January 2024
DOI: 10.15468/dl.w6vb6n
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Saccharomonospora glauca Greiner-Mai et al., 1988"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014553-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3007854/2550956
title: Data for EMSL Project 60580 from January 2024
DOI: 10.25582/data.2024-01.3008015/2550957
title: Data for EMSL Project 60580 from January 2024
DOI: 10.15468/hzumf3
title: Harbour seals GPS telemetry in Baie des Veys

description: Original provider:
Cécile Vincent, Centre d’Études Biologiques de Chizé

Dataset credits:
Cecile Vincent, CEBC (CNRS/La Rochelle University)

Abstract:
Twelve harbour seals (Phoca vitulina) were captured in the Baie des Veys (Normandy, France) between October 2007 and October 2008 and fitted with Fastloc GPS/GSM tags (Sea Mammal Research Unit - SMRU, UK). The project was funded by the DIREN Basse Normandie. The study was conducted by Cecile Vincent at the University of La Rochelle (France) in collaboration with SMRU, the Reserve Naturelle Nationale du Domaine de Beauguillot, PELAGIS (CNRS/La Rochelle University), and the Office national de la chasse de la faune sauvage (ONCFS). Seals were caught under licenses delivered by the French ministry of the environment.
DOI: 10.15468/9zc42y
title: Happywhale - Common minke whale in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/wr5ysr
title: Happywhale - Southern elephant seal in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/qymny8
title: AMAPPS Southeast Aerial Cruise Winter 2019-2020

description: Original provider:
NOAA Southeast Fisheries Science Center (SEFSC)

Dataset credits:
NOAA Southeast Fisheries Science Center (SEFSC)

Abstract:
As part of the AMAPPS program, the Southeast Fisheries 
Science Center conducted an aerial survey on the 
continental shelf waters of the US east coast, from 
Virginia to the Florida Keys. The survey was conducted 
between 7 December 2019 and 25 January 2020 aboard a NOAA 
Twin Otter aircraft. Survey tracklines were oriented 
perpendicular to the shoreline and latitudinally spaced 
20 
km apart. The main goal of this survey was to assess the 
distribution and abundance of marine mammals and sea 
turtles in the US east coast. The survey was designed for 
analysis using Distance sampling and a two-team 
(independent observer) approach to correct for perception 
bias in resulting abundance estimates. Due to unfavorable 
weather conditions (mainly fog and heavy winds) 
throughout 
the survey the northernmost area surveyed was off the 
Virginia coast. In addition, from northern South Carolina 
to VA, several segments of the proposed tracklines were 
not surveyed due to military exercises being conducted 
over the area.
DOI: 10.15468/5k5vut
title: Evidence of a Green Turtle Starting its Post-nesting Migration Without Laying All Its Vitellogenic Follicles

description: Original provider:
Nathan J. Robinson, Fundacion Oceanografic

Dataset credits:
Nathan J. Robinson, Fundacion Oceanografic
The Leatherback Trust
DOI: 10.15468/z763be
title: Happywhale - Sea otter in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/dpunh6
title: Acoustic detections from R/V Song of the Whale during the winter 2019 MAPS survey (NMFS permit 14809)

description: Original provider:
Marine Conservation Research

Dataset credits:
Oliver Boisseau, Marine Conservation Research International

Abstract:
The dataset contains sperm whale acoustic detections made during the MAPS winter cruise in Jan/Feb 2019 (NMFS permit 14809). Each datapoint represents an acoustic detection of an individual sperm whale.
DOI: 10.15468/w5bqvy
title: PIFSC, Cetacean Surveys, Mariana Archipelago Small-Boat Surveys 2010-2019, NOAA Pacific Islands Fisheries Science Center

description: Original provider:
NOAA Pacific Islands Fisheries Science Center (PIFSC)

Dataset credits:
NOAA Pacific Islands Fisheries Science Center

Abstract:
The Pacific Islands Fisheries Science Center (PIFSC) Cetacean Research Program has conducted research on cetaceans in the Mariana Archipelago since 2010 (Hill et al. in review). A cooperative effort with funding from U.S. Navy Pacific Feet and PIFSC has included summer and winter small-boat surveys off the southernmost islands (Saipan, Tinian, Aguijan, Rota, and Guam). Across all summer and winter small-boat survey efforts, PIFSC conducted 270 days of surveys. Most of the survey effort occurred in summer months (May–September) and there was no effort during October–December. 

There were 362 groups (excluding within-day re-sights) identified to 14 species including (in order of frequency of occurrence) spinner dolphin, pantropical spotted dolphin, bottlenose dolphin, short-finned pilot whale, rough-toothed dolphin, sperm whale, false killer whale, dwarf sperm whale, pygmy killer whale, Bryde's whale, melon-headed whale, Blainville's beaked whale, and Cuvier's beaked whale. Humpback whales were encountered in January–March 2015–2019 when targeted surveys were conducted off Saipan. Across all PIFSC small-boat surveys, there were 19 mixed-species groups, each including 2–3 species. Some groups could not be identified to species, and are indicated as unidentified beaked whales, unidentified whales, and unidentified dolphins. The overall effort resulted in collection of 130,066 photos and 435 biopsy samples, and deployment of 44 satellite tags.
DOI: 10.15468/epf24c
title: AMAPPS Northeast Aerial Cruise Spring 2019

description: Original provider:
NOAA Northeast Fisheries Science Center (NEFSC)

Dataset credits:
NOAA Northeast Fisheries Science Center (NEFSC)

Abstract:
During spring (3 April – 15 May 2019) the Northeast Fisheries Science Center (NEFSC) conducted aerial abundance surveys targeting marine mammals and sea turtles. The southwestern extent was New Jersey and the northeastern extent was off of Halifax, Nova Scotia, Canada on the Scotia Shelf. The surveys covered waters from the coastline to about the 2000-m depth contour. Track lines were flown 183 m (600 ft) above the water surface, at about 200 kph (110 knots). The two-independent team methodology was used to collect data. Approximately 10,392 km of on-effort track lines were surveyed, where 89% of this effort was in Beaufort 3 and below.
DOI: 10.15468/dl.sqe4jx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eurypygiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -30,90 -30,90 0,60 0,60 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000220-251009101135966/datasets/export for details.
DOI: 10.15468/4kd37z
title: Empire Wind Digital Aerial Wildlife Surveys for BOEM Lease Area OCS-A 0512, Equinor Wind US LLC, November 2017-October 2018

description: Original provider:
APEM Limited

Dataset credits:
APEM Inc. and Normandeau Associates Inc.

Abstract:
Equinor Wind US, LLC were committed to undertaking a Construction and Operation Plan (COP) of their lease area located in the New York Bight (OCS-A 0512), now called Empire Wind. To facilitate this, 12 surveys were undertaken by APEM Inc. and Normandeau Associates, Inc. (Normandeau-APEM Team) between November 2017 and October 2018 to provide baseline information for consideration in the assessment of potential impacts. Additional surveys were collected between February 2019 and December 2019 and can be accessed https://seamap.env.duke.edu/dataset/2159.
DOI: 10.15468/dl.gm7zjr
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panopea zelandica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 141 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dw6h7r
title: Acoustic detections from R/V Song of the Whale during the spring 2019 MAPS survey (NMFS permit 14809)

description: Original provider:
Marine Conservation Research

Dataset credits:
Oliver Boisseau, Marine Conservation Research International

Abstract:
The dataset contains sperm whale acoustic detections made during the MAPS spring cruise in Apr/May 2019 (NMFS permit 14809). Each datapoint represents an acoustic detection of an individual sperm whale.
DOI: 10.15468/gkenmr
title: Gulf Green Turtle Project 2016-2019

description: Original provider:
Nicolas Pilcher, Marine Research Foundation & Marina Antonopoulou, Emirates Nature WWF

Dataset credits:
Nicolas Pilcher, Marine Research Foundation

Abstract:
Marine turtles are integral components of the Arabian region marine ecosystems, and a priority conservation component of national and regional conservation programmes. Sea turtles are protected in all countries bordering the Arabian Gulf and the Gulf of Oman, and are a priority species in Emirates Nature-WWF's Strategy 2015-2020, as well as WWF’s Global Marine Turtle Strategy 2012-2020 (WWF, 2012).

Turtles are in danger from accidental bycatch of juveniles and adults in fishing operations, marine habitat alteration and degradation, exploitation of eggs, loss of nesting beaches, and potentially through rising temperatures with climate change. Younger turtles are also impacted by cold-stunning events during winter months.

A small number of protected areas exist which encompass certain life stages of sea turtles in the Gulf region, but these are spatially-limited given the state of knowledge on turtle habitat use - we have little information on where green turtles migrate to following nesting areas, and where key foraging and development grounds are found.

The Gulf Green Turtle Project will allow us to decipher the migration paths of green sea turtles, as these comprise the most abundant turtle species in the inner Gulf region and the second most abundant in Oman, and will identify linkages between foraging and nesting populations within the important Gulf biogeographic region, allowing us to guide conservation actions and raise awareness of the importance of marine turtle populations.

Data resulting from this work will inform managers of critical in–water habitats utilised by Arabian turtles, and allow them to aim concerted conservation activities, including fishery regulation where applicable, to preserve turtles through all phases of their live cycle.
DOI: 10.15468/pg7pkh
title: VACAPES Offshore Study Area Observations

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
The data in this dataset represent animal sightings and boat tracks during 
offshore surveys beginning in April 2015 through December 2021 off the coast 
of Virginia.
Seventy days of offshore surveys were completed between 04/12/2015 – 
10/24/2021. Work was performed under HDR task orders TO 03, TO 54, TO 35, 
TO18F4082, and TO20F4031 (IDIQ contract award N62470-15-D-8006, NAVFAC 
LANT).
DOI: 10.15468/cpd9rh
title: AMAPPS Northeast Aerial Cruise Fall 2019

description: Original provider:
NOAA Northeast Fisheries Science Center (NEFSC)

Dataset credits:
NOAA Northeast Fisheries Science Center (NEFSC)

Abstract:
During fall (13 October – 24 November) 2019, the Northeast Fisheries Science Center (NEFSC) conducted aerial abundance surveys targeting marine mammals and sea turtles. The southwestern extent was New Jersey and the northeastern extent was off of Halifax, Nova Scotia, Canada on the Scotia Shelf. The surveys covered waters from the coast line to about the 2000 m depth contour. Track lines were flown 183 m (600 ft) above the water surface, at about 200 kph (110 knots). Approximately 7,770 km of on-effort track lines were surveyed, where 85% of this effort was in Beaufort 3 and below.