Timeline / Data.gov — Health Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 21 line(s) added, 21 line(s) removed.
Evidence
| Source | Data.gov — Health Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=health&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-12T18:28:03+00:00 |
| Content type | application/json |
| Current object |
35136f9444060e34e265cb5460d918e0d29157ef1c9d46452507754e6d8f54b8
download raw
metadata
|
| Previous object |
249e28adbf3011a4ac6fc4ae145a74569a3e24660b45e140dd705eb0517d42ef
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-12T18:28:03+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 21 line(s) added, 21 line(s) removed.
--- previous +++ current @@ -2,10 +2,10 @@ "after": "WzE3ODkwNzk2NDcwNDAsMTUuNDQxMzMyLDMsImUyOWMyMDFiLWE2NzktNDcwZi1iMGZkLWM0MDEzYjM3YjJjYiJd", "results": [ { - "_score": 2.5332947, + "_score": 2.5332966, "_sort": [ 1789160298890, - 2.5332947, + 2.5332966, 76, "791f92e6-0c92-42a4-b9be-6f3e4ae46131" ], @@ -1021,10 +1021,10 @@ "type": "dataset" }, { - "_score": 10.101787, + "_score": 10.101785, "_sort": [ 1789080642828, - 10.101787, + 10.101785, 0, "a389d7ba-e693-4533-bf0d-46fbf1428104" ], @@ -2541,10 +2541,10 @@ "type": "dataset" }, { - "_score": 7.376955, + "_score": 7.376938, "_sort": [ 1789080593907, - 7.376955, + 7.376938, 1, "596d5ca2-9f51-4d61-a682-c4c9cc54c12c" ], @@ -3375,10 +3375,10 @@ "type": "dataset" }, { - "_score": 29.110771, + "_score": 29.110796, "_sort": [ 1789080494584, - 29.110771, + 29.110796, 2, "a2a53b0d-d229-4a15-a5fd-56be46ace920" ], @@ -3777,10 +3777,10 @@ "type": "dataset" }, { - "_score": 9.701818, + "_score": 9.701815, "_sort": [ 1789080458315, - 9.701818, + 9.701815, 5, "fda4d8ce-25e1-4fff-97b8-e609435afc8f" ], @@ -3931,10 +3931,10 @@ "type": "dataset" }, { - "_score": 10.468655, + "_score": 10.468643, "_sort": [ 1789080454088, - 10.468655, + 10.468643, 2, "b17feb4f-9b5b-44b6-a45d-71d374bb494e" ], @@ -4057,10 +4057,10 @@ "type": "dataset" }, { - "_score": 7.368004, + "_score": 7.3679914, "_sort": [ 1789080396498, - 7.368004, + 7.3679914, 1, "2d957d81-5ea2-4680-9158-93ea004eecab" ], @@ -4375,10 +4375,10 @@ "type": "dataset" }, { - "_score": 24.29549, + "_score": 24.295486, "_sort": [ 1789080390528, - 24.29549, + 24.295486, 1, "a816d597-c732-4246-ae56-042ea3c0f001" ], @@ -5465,10 +5465,10 @@ "type": "dataset" }, { - "_score": 12.507121, + "_score": 12.507115, "_sort": [ 1789080329656, - 12.507121, + 12.507115, 2, "2df9527d-b16a-45bc-ab9e-6a0a6b75b5b2" ], @@ -5807,10 +5807,10 @@ "type": "dataset" }, { - "_score": 11.543773, + "_score": 11.543763, "_sort": [ 1789080315693, - 11.543773, + 11.543763, 2, "4ca4fe98-b8ae-427f-84e1-dc391214f75f" ], @@ -5867,4 +5867,4 @@ ], "title": "Data and model archive for multiple linear regression models for prediction of weighted cyanotoxin mixture concentrations and microcystin concentrations at three recurring bloom sites in Kabetogama Lake in Minnesota" }, - "description": "Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin mixture (MIX) models and two microcystin (MC) models. Models include those using readily available environmental variables (for example, wind speed and specific conductance) and those using additional comprehensive variables (based on laboratory analyses). Many of the independent variables were averages over a certain time period prior to a sample date, whereas other independent variables were lagged between 4 and 8 days. Funding for this work was provided by the U.S Geological Survey – National Park Service Partnership and the U.S. Geological Survey Environmental Health Program (Toxic Substance Hydrology and Contaminant Biology). The resulting model equations and final datasets are included in this data release while an associated child item model archive includes all the files needed to run an + "description": "Multiple linear regression models were developed using data collected in 2016 and 2017 from three recurring bloom sites in Kabetogama Lake in northern Minnesota. These models were developed to predict concentrations of cyanotoxins (anatoxin-a, microcystin, and saxitoxin) that occur within the blooms. Virtual Beach software (version 3.0.6) was used to develop four models: two cyanotoxin mixture (MIX) models and two microcystin (MC) models. Models include those using readily available environmental variables (for example, wind speed and specific conductance) and those using additional comprehensive variables (based on laboratory analyses). Many of the independent variables were averages over a certain time period prior to a sample date, whereas other independent variables were lagged between 4 and 8 days. Funding for this work was provided by the U.S Geological Survey – National Park Service Partnership and the U.S. Geological Survey Environmental Health Program (Toxic Substance Hydrology and Contaminant Biology). The resulting model equations and final datasets are included in this data release while an associated child item model archive includes all the files needed to ru