cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/76425ebbe3fe7683d7e5409f53b0fa8e
title: Marcell Experimental Forest seasonal soil moisture, 1966 - ongoing

description: This data publication contains available soil water measured three times a year (1966 - ongoing) at the Marcell Experimental Forest (MEF) in Balsam Township, Itasca County, Minnesota. The data came from six peatland / upland forest watersheds instrumented for long-term hydrological and biogeochemical research. The Marcell Experimental Forest in Itasca County, Minnesota is operated and maintained by the USDA Forest Service, Northern Research Station, and was formally established in 1962 to study the ecology and hydrology of peatlands.
DOI: 10.15468/dl.q8jamb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Cistugo seabrai Thomas, 1912",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025571-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29257187
title: Generative AI Content Moderation Policies & Public Discussion Dataset

description: IntroductionThis is a dataset of the USENIX Security '25 paper: <b>''I Cannot Write This Because It Violates Our Content Policy'': Understanding Content Moderation Policies and User Experiences in Generative AI Products.</b>Structure and file overviewThis dataset includes two parts:[Policy Dataset]<i> Folder /Study1_Policy_Analysis</i>:<i>Folder /Policy_Datase</i><i>t c</i>ontains a collection of screenshots of content moderation policy pages in Generative AI online tools. All screenshots are in <i>.pdf</i> format, and are placed into three folders under this directory based on the type of pages. <i>info.pdf</i> contains information on the Generative AI online tools and page URLs of the screenshots.<i>Folder /Coded_Policy_Segments</i> contains analysis on the policy dataset. <i>coded_policy.xlsx</i> contains annotated policy segments. <i>codebook_study1.pdf</i> contains the codebook for data analysis.[Reddit Dataset]<i> Folder /Study2_Reddit_Analysis</i>:<i>Folder /Reddit_Dataset</i> contains a collection of Reddit posts discussing content moderation in Generative AI online tools. All collected posts can be found in <i>all_cleaned_posts.csv. </i>In <i>Folder ./By_Subreddits, </i>the dataset is divided into seven<i> .csv </i>files by different subreddits where the posts were collected.<i>codebook_study2.pdf</i> contains the codebook for the data analysis we presented in the paper.
DOI: 10.6084/m9.figshare.29257187.v1
title: Generative AI Content Moderation Policies & Public Discussion Dataset

description: IntroductionThis is a dataset of the USENIX Security '25 paper: <b>''I Cannot Write This Because It Violates Our Content Policy'': Understanding Content Moderation Policies and User Experiences in Generative AI Products.</b>Structure and file overviewThis dataset includes two parts:[Policy Dataset]<i> Folder /Study1_Policy_Analysis</i>:<i>Folder /Policy_Datase</i><i>t c</i>ontains a collection of screenshots of content moderation policy pages in Generative AI online tools. All screenshots are in <i>.pdf</i> format, and are placed into three folders under this directory based on the type of pages. <i>info.pdf</i> contains information on the Generative AI online tools and page URLs of the screenshots.<i>Folder /Coded_Policy_Segments</i> contains analysis on the policy dataset. <i>coded_policy.xlsx</i> contains annotated policy segments. <i>codebook_study1.pdf</i> contains the codebook for data analysis.[Reddit Dataset]<i> Folder /Study2_Reddit_Analysis</i>:<i>Folder /Reddit_Dataset</i> contains a collection of Reddit posts discussing content moderation in Generative AI online tools. All collected posts can be found in <i>all_cleaned_posts.csv. </i>In <i>Folder ./By_Subreddits, </i>the dataset is divided into seven<i> .csv </i>files by different subreddits where the posts were collected.<i>codebook_study2.pdf</i> contains the codebook for the data analysis we presented in the paper.
DOI: 10.15468/dl.6z2ytv
title: Occurrence Download

description: A dataset containing 553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Larkinia grandis (Broderip & G.B.Sowerby I, 1829)"
 ]
}

 The dataset includes 553 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025572-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34681/1zv0-ew61
title: Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File 2020
DOI: 10.15468/dl.x4svb7
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphorbia esula L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025574-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xttft
title: Occurrence Download

description: A dataset containing 10085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Percina caprodes (Rafinesque, 1818)"
 ]
}

 The dataset includes 10085 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025573-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6aagq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus tenuis (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025575-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15584144
title: MEL-RAD
DOI: 10.5281/zenodo.15584145
title: MEL-RAD
DOI: 10.5281/zenodo.15610819
title: MEL-RAD
DOI: 10.15468/dl.72qyjv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Cistugo seabrae Thomas, 1912",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025576-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29259446
title: AGU Open Science DOI

description: Materials for Emily Graham.<br>New knowledge generation approach (3 pubs):DOI: 10.1038/d41586-020-00006-710.3389/fevo.2021.58894010.3389/fevo.2021.588894<br>Global Soil Virus Atlas: DOI: 10.25584/2229733 and 10.1038/s41564-024-01686-x1000 Soils Database: DOI: 10.5281/zenodo.7406532EMSL MONet (dynamic website, no DOI): https://www.emsl.pnnl.gov/monetMONet visualization tool (dynamic website, no DOI): https://shinyproxy.emsl.pnnl.gov/app/1000soilsWHONDRS (&gt;28 associated DOIs): https://data.ess-dive.lbl.gov/portals/WHONDRS/Datahttps://www.pnnl.gov/projects/WHONDRS (dynamic)
DOI: 10.6084/m9.figshare.29259446.v1
title: AGU Open Science DOI

description: Materials for Emily Graham.<br>New knowledge generation approach (3 pubs):DOI: 10.1038/d41586-020-00006-710.3389/fevo.2021.58894010.3389/fevo.2021.588894<br>Global Soil Virus Atlas: DOI: 10.25584/2229733 and 10.1038/s41564-024-01686-x1000 Soils Database: DOI: 10.5281/zenodo.7406532EMSL MONet (dynamic website, no DOI): https://www.emsl.pnnl.gov/monetMONet visualization tool (dynamic website, no DOI): https://shinyproxy.emsl.pnnl.gov/app/1000soilsWHONDRS (&gt;28 associated DOIs): https://data.ess-dive.lbl.gov/portals/WHONDRS/Datahttps://www.pnnl.gov/projects/WHONDRS (dynamic)
DOI: 10.3886/e184306v1
title: Data and Code for: "Cognitive behavior therapy reduces crime and violence over 10 years: Experimental evidence"

description: Data for "Cognitive behavior therapy reduces crime and violence over 10 years: Experimental evidence".<br><br>Paper Abstract:<br>"Several small, short-term, or non-experimental studies show that cognitive behavioral-informed interventions reduce antisocial behaviors over 1–2 years, but there is little research on persistence. We followed 999 high-risk men in Liberia 10 years after randomization into: 8 weeks of low-cost, nonspecialist-led therapy; $200 cash; both; or neither. A decade later, antisocial behaviors (such as robbery and drug-selling) fell 0.2 standard deviations from therapy alone---significantly greater than the 1-year impacts. Meanwhile, men who received therapy plus cash were 0.25 standard deviations less antisocial---similar to their 1-year results. In both cases, impacts were concentrated in men exhibiting highest baseline risk."<br>
description: Response Rates: All data are self-reported survey outcomes. As one of the world's poorest countries, Liberia does not have administrative data on arrests, crimes, or violence. The main advantage of this strategy is unusually rich outcome measures. A disadvantage is potential bias in self-reported results, discussed below.<br>We attempted to survey each subject 7 times: (i) at baseline; (ii & iii) 2 and 5 weeks after the grants; (iv & v) 12 and 13 months after grants, and roughly (vi & vii) 114 and 115 months after grants. We ran pairs of surveys to reduce noise in outcomes with low autocorrelation, such as earnings or criminal activity. We average these pairs into "1-month'', "1-year'', and "10-year'' outcomes. <br>Subjects typically had no fixed address and lived under aliases or clandestinely. By collecting social network and contact information, and through intensive tracking, we located most surviving respondents. After 1 year, we interviewed 947 of the 999 (95%). After 10 years, we surveyed 833 (83% of the full sample), plus the friends or relatives of 103 who had died. Therefore we have outcomes for 93% of known survivors. Of the remaining 63: 14 refused the survey; 9 were unreachable (out of country); 7 were imprisoned; and 33 could not be found.
description: The study recruited 10 years ago 999 men actively involved in crime and violence. They were age 25 on average. We focused on five mixed-income residential neighborhoods in Monrovia with large populations of high-risk men. <br>All recruitment was handled by NEPI. In each neighborhood, certain places, groups, and professions had reputations for crime and violence involvement, and recruiters targeted these locations and people. <br>We tried to minimize general equilibrium effects and spillovers between treatment and control group members. We worked in neighborhoods with tens of thousands of residents, recruiting less than 1 percent of adult men. NEPI recruiters were also instructed to approach just 1 out of every 7-10 potentially high-risk subjects they identified on the street. This avoided more than 10 percent of high risk men being treated in a neighborhood.
DOI: 10.15468/dl.cjqhyf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus tenuis (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025577-250525065834625/datasets/export for details.
DOI: 10.34681/m3ft-5q93
title: Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care AB File 2021
DOI: 10.15468/dl.fh82mq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Emballonura afra Peters, 1852",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025579-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15610341
title: Synthetic Datasets for DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments

description: This archive contains 1000 synthetic datasets for benchmarking the DINAMO framework (https://arxiv.org/abs/2501.19237), an automated anomaly detection solution featuring both a generalized EWMA-based statistical method and a transformer encoder-based ML approach for Data Quality Monitoring (DQM) in particle physics experiments.The datasets overview:



Size: 1000 datasets in .npz format, each containing 5000 runs with one-dimensional Gaussian-based histograms

Labels: each run is labeled as "good" (4500 runs) or "bad" (500 runs)

Features: datasets mimic particle physics DQM data with emphasis on dynamic operational conditions:



Gradual operational drifts (sinusoidal evolution)

Abrupt hardware/software changes

Varying event statistics and Poisson uncertainties

Systematic detector uncertainties

Bad runs contain additional distortions and dead histogram bins




These datasets enable systematic evaluation of anomaly detection algorithms in time-dependent settings for the DQM problem. More details can be found in the paper and in the GitHub repository at https://github.com/ArseniiGav/DINAMO/
DOI: 10.5281/zenodo.15610342
title: Synthetic Datasets for DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments

description: This archive contains 1000 synthetic datasets for benchmarking the DINAMO framework (https://arxiv.org/abs/2501.19237), an automated anomaly detection solution featuring both a generalized EWMA-based statistical method and a transformer encoder-based ML approach for Data Quality Monitoring (DQM) in particle physics experiments.The datasets overview:



Size: 1000 datasets in .npz format, each containing 5000 runs with one-dimensional Gaussian-based histograms

Labels: each run is labeled as "good" (4500 runs) or "bad" (500 runs)

Features: datasets mimic particle physics DQM data with emphasis on dynamic operational conditions:



Gradual operational drifts (sinusoidal evolution)

Abrupt hardware/software changes

Varying event statistics and Poisson uncertainties

Systematic detector uncertainties

Bad runs contain additional distortions and dead histogram bins




These datasets enable systematic evaluation of anomaly detection algorithms in time-dependent settings for the DQM problem. More details can be found in the paper and in the GitHub repository at https://github.com/ArseniiGav/DINAMO/
DOI: 10.5281/zenodo.15610462
title: Precomputed results for Geodesic Slice Sampling on the Sphere (GeoSSS) paper

description: Precomputed results used in the publication titled "Geodesic Slice Sampling on the Sphere". This can be used with our package on Github: https://github.com/microscopic-image-analysis/geosss

Follow the below steps:

1. Download and unzip all the files. 

2. Clone the github repository and navigate to the root directory.

git clone https://github.com/microscopic-image-analysis/geosss.git
cd geosss

3. Move the data to a new "results" directory inside the repository. After unzipping folders from "mixture_vMF_d10_K5_kappa50" to "mixture_vMF_d10_K5_kappa500" (10 folders), please move them to a new "results/mix_vMF_d10_K5" directory.

4. You can use the "geosss/scripts" directory to use these precomputed results and plot them, see the info on the GitHub repository for installing the package.
DOI: 10.5281/zenodo.8287301
title: Precomputed results for Geodesic Slice Sampling on the Sphere (GeoSSS) paper

description: Precomputed results used in the publication titled "Geodesic Slice Sampling on the Sphere". This can be used with our package on Github: https://github.com/microscopic-image-analysis/geosss

Follow the below steps:

1. Download and unzip all the files. 

2. Clone the github repository and navigate to the root directory.

git clone https://github.com/microscopic-image-analysis/geosss.git
cd geosss

3. Move the data to a new "results" directory inside the repository. After unzipping folders from "mixture_vMF_d10_K5_kappa50" to "mixture_vMF_d10_K5_kappa500" (10 folders), please move them to a new "results/mix_vMF_d10_K5" directory.

4. You can use the "geosss/scripts" directory to use these precomputed results and plot them, see the info on the GitHub repository for installing the package.
DOI: 10.5281/zenodo.15610858
title: 521_english_robinson_crusoe.docx
DOI: 10.5281/zenodo.15610859
title: 521_english_robinson_crusoe.docx
DOI: 10.15468/dl.64kjxs
title: Occurrence Download

description: A dataset containing 5228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Scolopacidae, Charadriidae)",
 "Year 2010-2020"
 ]
}

 The dataset includes 5228 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025580-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69vazd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus tenuis (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025581-250525065834625/datasets/export for details.
DOI: 10.15468/dl.284k3f
title: Occurrence Download

description: A dataset containing 18581 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothofagus menziesii (Hook.f.) Oerst."
 ]
}

 The dataset includes 18581 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308151-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agy6xn
title: Occurrence Download

description: A dataset containing 20375 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tissues Specimens"
 ]
}

 The dataset includes 20375 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001203-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w4pau
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia roseoscapa Matuda"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016709-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efr9pw
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sardinella zunasi (Bleeker, 1854)",
 "Year 1000-2000"
 ]
}

 The dataset includes 47 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308122-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lhculd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is KUBI Paleobotany Collection"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001203-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7c2sb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia recurvispica L.Hrom. & P.Schneid."
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016659-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4wuc4
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boaedon virgatus (Hallowell, 1854)"
 ]
}

 The dataset includes 424 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284872-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rieirc
title: Occurrence Download

description: A dataset containing 11002 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dataset of Phenology of flora of mediterranean high-mountains meadows (Sierra Nevada)"
 ]
}

 The dataset includes 11002 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001203-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cj7um
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia rojasii H.Luther"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016690-230810091245214/datasets/export for details.