cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/gfb-c110-1608
title: United States Army, The New Infantry Drill Regulations, 1941

description: United States Army, The New Infantry Drill Regulations with Rifle Marksmanship, published by the Military Service Publishing Company, 100 Telegraph Building, Harrisburg, Pennsylvania, USA, 1941. Property of Hiroshi Sugiyama.
DOI: 10.25549/gfb-c110-1550
title: United States Army, The New Infantry Drill Regulations, 1941

description: United States Army, The New Infantry Drill Regulations with Rifle Marksmanship, published by the Military Service Publishing Company, 100 Telegraph Building, Harrisburg, Pennsylvania, USA, 1941. Property of Hiroshi Sugiyama.
DOI: 10.25549/gfb-c110-1606
title: United States Army, The New Infantry Drill Regulations, 1941

description: United States Army, The New Infantry Drill Regulations with Rifle Marksmanship, published by the Military Service Publishing Company, 100 Telegraph Building, Harrisburg, Pennsylvania, USA, 1941. Property of Hiroshi Sugiyama.
DOI: 10.25549/gfb-c110-1477
title: United States Army, The New Infantry Drill Regulations, 1941

description: United States Army, The New Infantry Drill Regulations with Rifle Marksmanship, published by the Military Service Publishing Company, 100 Telegraph Building, Harrisburg, Pennsylvania, USA, 1941. Property of Hiroshi Sugiyama.
DOI: 10.25549/gfb-c110-1538
title: United States Army, The New Infantry Drill Regulations, 1941

description: United States Army, The New Infantry Drill Regulations with Rifle Marksmanship, published by the Military Service Publishing Company, 100 Telegraph Building, Harrisburg, Pennsylvania, USA, 1941. Property of Hiroshi Sugiyama.
DOI: 10.25549/gfb-c110-915
title: Naganuma, Hyojun Nihongo Tokuhon [The Standard Japanese Reader], 1942

description: N. Naganuma [Naoe Naganuma], Hyojun Nihongo Tokuhon [The Standard Japanese Reader], book one, University of California Press, Berkeley, California, USA, Los Angeles, California, USA, 1942. "Ken Baba -" inscription, page 3.
DOI: 10.25549/gfb-c110-378
title: Sewing kit, [1941/1945]

description: A sewing kit belonging to Hiroshi Sugiyama, [1941/1945]. Contains thimble, spare buttons, matchbook, matchbox, sewing thread on wooden spools, metal object, needle holder, felt with needles, receipt, sewing thread on cardboard spools, safety pins, box of razor blades, roll of tissues, miniature lightbulbs, and pencil leads.
DOI: 10.25549/gfb-c110-379
title: Sewing kit, [1941/1945]

description: A sewing kit belonging to Hiroshi Sugiyama, [1941/1945]. Contains thimble, spare buttons, matchbook, matchbox, sewing thread on wooden spools, metal object, needle holder, felt with needles, receipt, sewing thread on cardboard spools, safety pins, box of razor blades, roll of tissues, miniature lightbulbs, and pencil leads.
DOI: 10.15468/dl.zqxqyq
title: Occurrence Download

description: A dataset containing 531774 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Cassinia monticola, Polystichum transkeiense, Polystichum rachichlaena, Euploca convolvulacea, Astartea aspera, Astartea muricata, Ballota nigra, Chiloglottis trapeziformis, Crusea parviflora, Crusea wrightii, Calochilus pruinosus, Myriophyllum caput-medusae, Llavea cordifolia, Cephalaria kutahyaensis, Aphananthe philippinensis, Cardamine oligosperma, Cardamine volckmannii, Hermannia boraginiflora, Hermannia glabrata, Hermannia macra, Streptocarpus porphyrostachys, Cephalaria media, Gnidia pinifolia, Gayophytum heterozygum, Calochilus paludosus, Chiloglottis turfosa, Chrozophora brocchiana, Thamnochortus amoena, Thamnochortus sporadicus, Medicago casellasii, Phlomis brevibracteata, Aesculus hippocastanum, Cardamine battagliae, Cardamine hispidula, Comesperma acerosum, Comesperma polygaloides, Hibiscus setulosus, Astartea eobalta, Carduus nigrescens, Carduus pycnocephalus, Cotula melaleuca, Kunzea glabrescens, Kunzea parvifolia, Marrubium atlanticum, Marrubium ayardii, Restio degenerans, Restio distans, Bromus fasciculatus, Bromus racemosus, Bromus tectorum, Labichea obtrullata, Labichea eremaea, Medicago polymorpha, Medicago turbinata, Medicago sphaerocarpos, Oenanthe millefolia, Trigonella uncinata, Trigonella balachowskyi, Muraltia hyssopifolia, Adromischus diabolicus, Adromischus fallax, Adromischus leucophyllus, Gnidia strigillosa, Hibiscus costatus, Hibiscus fleckii, Phagnalon barbeyanum, Phagnalon bicolor, Cassinia ochracea, Aesculus parryi, Cotula vulgaris, Hibiscus kirstyae, Melampodium cupulatum, Phlomis nissolii, Phlomis purpurea, Calochilus sandrae, Bromus carinatus, Astartea reticulata, Myriophyllum quitense, Cephalaria adiyamanensis, Tuberaria colombina, Schlechteranthus hallii, Marrubium catariifolium, Thamnochortus dumosus, Carum jahandiezii, Hermannia cernua, Hermannia concinnifolia, Hermannia gerardii, Thamnochortus kammanassiae, Hermannia pulverata, Hermannia rudis, Carduus argentatus, Hermannia velutina, Cardamine calliphaea, Calochilus gracillimus, Dichopogon tyleri, Digitaria maitlandii, Cephalaria mauritanica, Bromus lithobius, Hibiscus squarrulosus, Comesperma sabulosum)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 531774 records from 2646 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022598-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub5uxp
title: Occurrence Download

description: A dataset containing 1205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Costa Rica",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-85.49591 10.84731,-85.46216 10.84731,-85.46216 10.87137,-85.49591 10.87137,-85.49591 10.84731))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1205 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004450-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yv6r9
title: Occurrence Download

description: A dataset containing 141113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myathropa florea"
 ]
}

 The dataset includes 141113 records from 534 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004415-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18718581
title: EGRET data

description: Contains performance metrics and data generated from EGRET models in 49 GTEx tissues.
description: EGRET results sumstats contains model performance including cis R2, trans R2, and genome-wide R2 for all genes assessed.

EGRET-TWAS associations contains summary statistics for all genes with significant performance (R2 p < 0.01) for all tissues across 78 complex traits and diseases.

EGRET trans-regulators contains the likely up-stream genes regulating downstream trans-heritable genes.

EGRET grn modules contains modules created by the afformentioned trans-regulators identified.

EGRET module associations are summary statistics showing the average EGRET and FUSION TWAS z scores for gene modules for the 78 complex traits and diseases assessed.
DOI: 10.6084/m9.figshare.31395382
title: Scalable community detection in massive networks via predictive assignment

description: Massive network datasets are becoming increasingly common in scientific applications. Existing community detection methods encounter significant computational challenges for such massive networks due to two reasons. First, the full network needs to be stored and analyzed on a single server, leading to high memory costs. Second, existing methods typically use matrix factorization or iterative optimization using the full network, resulting in high runtimes. We propose a strategy called <i>predictive assignment</i> to enable computationally efficient community detection while ensuring statistical accuracy. The core idea is to avoid large-scale matrix computations by breaking up the task into a smaller matrix computation plus a large number of vector computations that can be carried out in parallel. Under the proposed method, community detection is carried out on a small subgraph to estimate the relevant model parameters. Next, each remaining node is assigned to a community based on these estimates. We prove that predictive assignment achieves strong consistency under the stochastic blockmodel and its degree-corrected version. We also demonstrate the empirical performance of predictive assignment on simulated networks and two large real-world datasets: DBLP (Digital Bibliography & Library Project), a computer science bibliographical database, and the Twitch Gamers Social Network.
DOI: 10.6084/m9.figshare.31395382.v1
title: Scalable community detection in massive networks via predictive assignment

description: Massive network datasets are becoming increasingly common in scientific applications. Existing community detection methods encounter significant computational challenges for such massive networks due to two reasons. First, the full network needs to be stored and analyzed on a single server, leading to high memory costs. Second, existing methods typically use matrix factorization or iterative optimization using the full network, resulting in high runtimes. We propose a strategy called <i>predictive assignment</i> to enable computationally efficient community detection while ensuring statistical accuracy. The core idea is to avoid large-scale matrix computations by breaking up the task into a smaller matrix computation plus a large number of vector computations that can be carried out in parallel. Under the proposed method, community detection is carried out on a small subgraph to estimate the relevant model parameters. Next, each remaining node is assigned to a community based on these estimates. We prove that predictive assignment achieves strong consistency under the stochastic blockmodel and its degree-corrected version. We also demonstrate the empirical performance of predictive assignment on simulated networks and two large real-world datasets: DBLP (Digital Bibliography & Library Project), a computer science bibliographical database, and the Twitch Gamers Social Network.
DOI: 10.5281/zenodo.18748857
title: Emergent Systems Dataset

description: Emergent systes data set 1. See paper for full explanation.
DOI: 10.5281/zenodo.18748858
title: Emergent Systems Dataset

description: Emergent systes data set 1. See paper for full explanation.
DOI: 10.15468/dl.er6bm5
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "StateProvince is Tamaulipas",
 "TaxonKey is Neptunia"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004452-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/x3yvv6
title: Löydös Open Invasive Species Observations

description: A service for reporting invasive species observations for the general public. Does not require registration.
DOI: 10.5281/zenodo.18749205
title: Example dataset used for DADA2 long read tutorial

description: The original dataset consists of environmental microbial samples collected daily from two distinct bathroom sink P-traps (Sink A and Sink B) over a two-month period. To reduce computational time for this tutorial, we only picked five samples, and the raw `.fastq.gz` files were randomly downsampled to 10% of their original sequencing depth using `seqkit`.The bash command used:for f in revio_pacbio/*.fastq.gz; do    base_name=$(basename "$f")    seqkit sample -p 0.1 -s 2025 "$f" -o "revio_pacbio_10/$base_name"done
DOI: 10.5281/zenodo.18749206
title: Example dataset used for DADA2 long read tutorial

description: The original dataset consists of environmental microbial samples collected daily from two distinct bathroom sink P-traps (Sink A and Sink B) over a two-month period. To reduce computational time for this tutorial, we only picked five samples, and the raw `.fastq.gz` files were randomly downsampled to 10% of their original sequencing depth using `seqkit`.The bash command used:for f in revio_pacbio/*.fastq.gz; do    base_name=$(basename "$f")    seqkit sample -p 0.1 -s 2025 "$f" -o "revio_pacbio_10/$base_name"done
DOI: 10.15468/dl.ncrf86
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florida Offshore Cetacean Observations by FAU HBOI Stranding and Population Assessment"
 ]
}

 The dataset includes 61 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004453-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/4f369ac0d66b51837c028da47f1a9658
title: Precipitation data for C1 chart recorder, 1952 - ongoing.

description: Precipitation data were collected on a daily time-scale from the C1
 climate station (3018 m) since 1952. Over time various circumstances
 have led to days with missing values. Some of these values were
 estimated from nearby climate stations.
DOI: 10.6084/m9.figshare.31395385
title: Residual Importance Weighted Transfer Learning for High-dimensional Linear Regression

description: Transfer learning is an emerging paradigm for leveraging multiple sources to improve the statistical inference on a single target. In this paper, we propose a novel approach named residual importance weighted transfer learning (RIW-TL) for high-dimensional linear models built on penalized likelihood. Compared to existing methods such as Trans-Lasso that selects sources in an (approximately) all-in-or-all-out manner, RIW-TL includes samples via importance weighting and thus may permit more effective sample use. To determine the weights, remarkably RIW-TL only requires the knowledge of one-dimensional densities dependent on residuals, thus overcoming the curse of dimensionality of having to estimate high-dimensional densities in naive importance weighting. We show that the oracle RIW-TL provides faster rate than its competitors and develop a cross-fitting procedure to estimate this oracle. We discuss variants of RIW-TL by adopting different choices for residual weighting. The theoretical properties of RIW-TL and its variants are established and compared with those of LASSO and Trans-Lasso. Extensive simulation and a real data analysis confirm its advantages.
DOI: 10.6084/m9.figshare.31395385.v1
title: Residual Importance Weighted Transfer Learning for High-dimensional Linear Regression

description: Transfer learning is an emerging paradigm for leveraging multiple sources to improve the statistical inference on a single target. In this paper, we propose a novel approach named residual importance weighted transfer learning (RIW-TL) for high-dimensional linear models built on penalized likelihood. Compared to existing methods such as Trans-Lasso that selects sources in an (approximately) all-in-or-all-out manner, RIW-TL includes samples via importance weighting and thus may permit more effective sample use. To determine the weights, remarkably RIW-TL only requires the knowledge of one-dimensional densities dependent on residuals, thus overcoming the curse of dimensionality of having to estimate high-dimensional densities in naive importance weighting. We show that the oracle RIW-TL provides faster rate than its competitors and develop a cross-fitting procedure to estimate this oracle. We discuss variants of RIW-TL by adopting different choices for residual weighting. The theoretical properties of RIW-TL and its variants are established and compared with those of LASSO and Trans-Lasso. Extensive simulation and a real data analysis confirm its advantages.
DOI: 10.25390/caryinstitute.11561448
title: Cary Environmental Monitoring Program Stream Hydrology Data: 1993-2025

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and streamwater hydrology. The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2021 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org or datamanagement@caryinstitute.org.<br>
DOI: 10.25390/caryinstitute.11561448.v8
title: Cary Environmental Monitoring Program Stream Hydrology Data: 1993-2025

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and streamwater hydrology. The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2021 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org or datamanagement@caryinstitute.org.<br>
DOI: 10.25390/caryinstitute.11561448.v7
title: Cary Environmental Monitoring Program Stream Hydrology Data: 1993-2024

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and streamwater hydrology. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, the Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2021 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org.
DOI: 10.15468/nn5xtw
title: A new synonym of Neottia alternifolia (King & Pantl.) Szlach. (Orchidaceae) and lectotypification of its basionym

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chakraborty, Sayak, Sarkar, Shuvadip, Bhattacharjee, Avishek, Agrawala, Dinesh Kumar, Maity, Debabrata (2026): A new synonym of Neottia alternifolia (King & Pantl.) Szlach. (Orchidaceae) and lectotypification of its basionym. Adansonia (3) 48 (4): 21-28, DOI: 10.5252/adansonia2026v48a4ABSTRACTNeottia motuoensis X.H.Jin, a recently described orchid from China, has been studied, and the morphological characters of the species have been compared to those of Neottia alternifolia (King & Pantl.) Szlach. based on protologue, type specimens, and fresh collections from the Indian Himalayan Region. Both species showed identical or overlapping characters and were found conspecific. Additionally, upon reviewing the original materials of the name, it has been determined that the name Listera alternifolia King & Pantl. (basionym of N. alternifolia) requires lectotypification. Therefore, a lectotype has been selected here for the name.
DOI: 10.17632/twm5djstrz
title: From Stream to Purchase: Exploring Parasocial Interaction and Social Presence as Mediators of Impulsive Purchase in TikTok Live Commerce

description: This dataset contains primary survey data investigating the drivers of impulsive purchase behavior in TikTok Live Commerce in Indonesia. Data were collected from 415 respondents using a structured questionnaire with a five-point Likert scale (1 = strongly disagree to 5 = strongly agree). The variables include Social Attraction, FOMO, Narrative Involvement, Telepresence, Parasocial Interaction, Social Presence, and Impulsive Purchase. All data have been anonymized and are provided to support transparency, replicability, and further quantitative analysis in the field of digital consumer behavior.
DOI: 10.17632/twm5djstrz.1
title: From Stream to Purchase: Exploring Parasocial Interaction and Social Presence as Mediators of Impulsive Purchase in TikTok Live Commerce

description: This dataset contains primary survey data investigating the drivers of impulsive purchase behavior in TikTok Live Commerce in Indonesia. Data were collected from 415 respondents using a structured questionnaire with a five-point Likert scale (1 = strongly disagree to 5 = strongly agree). The variables include Social Attraction, FOMO, Narrative Involvement, Telepresence, Parasocial Interaction, Social Presence, and Impulsive Purchase. All data have been anonymized and are provided to support transparency, replicability, and further quantitative analysis in the field of digital consumer behavior.
DOI: 10.17632/24gxxrsghk
title: Energy demand data of university

description: Monthly electricity consumption data comes from the official smart meter records of the Electricity Management System at Guangxi University, covering the period from March to December 2024. Meteorological data was obtained from the Xixiangtang Observation Station of the Guangxi
DOI: 10.17632/24gxxrsghk.1
title: Energy demand data of university

description: Monthly electricity consumption data comes from the official smart meter records of the Electricity Management System at Guangxi University, covering the period from March to December 2024. Meteorological data was obtained from the Xixiangtang Observation Station of the Guangxi
DOI: 10.17632/g2tkk4g3fz
title: Replication: Are green firms more financially constrained? The sensitivity of investment to cash flow

description: This is a replication package for the paper "Are green firms more financially constrained? The sensitivity of investment to cash flow"
DOI: 10.17632/g2tkk4g3fz.1
title: Replication: Are green firms more financially constrained? The sensitivity of investment to cash flow

description: This is a replication package for the paper "Are green firms more financially constrained? The sensitivity of investment to cash flow"